Page last updated: 2024-10-18

glycine and Stroke

glycine has been researched along with Stroke in 50 studies

Stroke: A group of pathological conditions characterized by sudden, non-convulsive loss of neurological function due to BRAIN ISCHEMIA or INTRACRANIAL HEMORRHAGES. Stroke is classified by the type of tissue NECROSIS, such as the anatomic location, vasculature involved, etiology, age of the affected individual, and hemorrhagic vs. non-hemorrhagic nature. (From Adams et al., Principles of Neurology, 6th ed, pp777-810)

Research Excerpts

ExcerptRelevanceReference
"To compare 3-month stroke outcomes and stroke-related health care resource use between the US and Canada in the Glycine Antagonist in Neuroprotection (GAIN) Americas study."9.11Health care resource use after acute stroke in the Glycine Antagonist in Neuroprotection (GAIN) Americas trial. ( Hux, M; Johnston, KC; Nielsen, K; Phillips, S; Rundek, T; Watson, D, 2004)
"To examine the efficacy of gavestinel (GV150526), an antagonist of the glycine site of the N-methyl-D-aspartate receptor, as a neuroprotective therapy for acute ischemic stroke when administered within 6 hours of symptom onset."9.09Glycine antagonist in neuroprotection for patients with acute stroke: GAIN Americas: a randomized controlled trial. ( DeRosa, JT; Haley, EC; Levin, B; Ordronneau, P; Phillips, SJ; Rundek, T; Sacco, RL; Snipes, RG; Thompson, JL, 2001)
"We developed a hollow fiber centrifugal ultrafiltration (HFCF-UF) method to study the change of plasma levels of free glycine (Gly) in patients with acute ischemic stroke (AIS)."8.31Accurately quantified plasma free glycine concentration as a biomarker in patients with acute ischemic stroke. ( Dong, W; Jiang, Y; Ni, X; Qin, W; Wang, H; Xu, L, 2023)
"We aimed to examine the association between glutamic acid and glycine intakes and the risk of mortality from stroke in a population-based cohort study in Japan."7.81Dietary intakes of glutamic acid and glycine are associated with stroke mortality in Japanese adults. ( Kawachi, T; Konishi, K; Nagata, C; Nakamura, K; Tamura, T; Tsuji, M; Wada, K, 2015)
" The hepatic metabolism of 3-[-2(phenylcarbamoyl) ethenyl]-4,6-dichloroindole-2-carboxylic acid (GV150526), a novel glycine antagonist for stroke, was investigated."7.70Human hepatic metabolism of a novel 2-carboxyindole glycine antagonist for stroke: in vitro-in vivo correlations. ( Barnaby, RJ; Ferrari, L; Gilissen, RA; Kajbaf, M, 2000)
"Carnitine biosynthesis has been related to fatty acid oxidation, a process probably exerting neuroprotective effects."5.72Associations of plasma carnitine, lysine, trimethyllysine and glycine with incident ischemic stroke: Findings from a nested case-control study. ( Gu, S; Liu, D; Ma, Z; Wang, J; Xiao, L; Zhou, Z; Zuo, H, 2022)
"We measured 4 plasma amino acid neurotransmitters (glutamic acid, aspartic acid, gamma-aminobutyric acid, and glycine) among 3486 patients with ischemic stroke from 26 hospitals across China."5.69Plasma Amino Acid Neurotransmitters and Ischemic Stroke Prognosis: A Multicenter Prospective Study. ( Chen, J; Guo, D; He, J; Jia, Y; Peng, H; Shi, M; Sun, L; Wang, A; Wang, Y; Xu, Q; Xu, T; Yang, P; Zhang, Y; Zhong, C; Zhu, Z, 2023)
"Treatment with glycine results in reduced infarct volume of the brain, neurologic function scores, and neuronal and microglial death in ischemic stroke injury."5.51Glycine Exhibits Neuroprotective Effects in Ischemic Stroke in Rats through the Inhibition of M1 Microglial Polarization via the NF-κB p65/Hif-1α Signaling Pathway. ( Bu, LH; Chen, SF; Liao, XY; Liu, R; Lu, LJ; Lu, PX; Pan, MX; Qin, XP; Tang, JC; Wan, Q; Zhang, Y; Zou, YY, 2019)
"We analyzed data from the Glycine Antagonist in Neuroprotection (GAIN) Americas trial, in which 1604 non-obtunded patients with acute stroke were treated within 6 hours of symptom onset irrespective of hemorrhagic (N = 237) versus ischemic (N = 1367) subtype."5.14Comparison of outcomes after intracerebral hemorrhage and ischemic stroke. ( Chiu, D; Elkind, MSV; Gerber, LM; Peterson, L; Rosand, J; Silverstein, MD, 2010)
"To compare 3-month stroke outcomes and stroke-related health care resource use between the US and Canada in the Glycine Antagonist in Neuroprotection (GAIN) Americas study."5.11Health care resource use after acute stroke in the Glycine Antagonist in Neuroprotection (GAIN) Americas trial. ( Hux, M; Johnston, KC; Nielsen, K; Phillips, S; Rundek, T; Watson, D, 2004)
"We studied all patients of the Glycine Antagonist (gavestinel) In Neuroprotection (GAIN) International Trial with ischemic stroke alive at day 7, excluding patients with hemorrhagic events and deaths from nonstroke-related causes."5.11Poststroke neurological improvement within 7 days is associated with subsequent deterioration. ( Aslanyan, S; Johnston, SC; Lees, KR; Weir, CJ, 2004)
"To examine the efficacy of gavestinel (GV150526), an antagonist of the glycine site of the N-methyl-D-aspartate receptor, as a neuroprotective therapy for acute ischemic stroke when administered within 6 hours of symptom onset."5.09Glycine antagonist in neuroprotection for patients with acute stroke: GAIN Americas: a randomized controlled trial. ( DeRosa, JT; Haley, EC; Levin, B; Ordronneau, P; Phillips, SJ; Rundek, T; Sacco, RL; Snipes, RG; Thompson, JL, 2001)
"We developed a hollow fiber centrifugal ultrafiltration (HFCF-UF) method to study the change of plasma levels of free glycine (Gly) in patients with acute ischemic stroke (AIS)."4.31Accurately quantified plasma free glycine concentration as a biomarker in patients with acute ischemic stroke. ( Dong, W; Jiang, Y; Ni, X; Qin, W; Wang, H; Xu, L, 2023)
"FG-4592 pretreated BMSCs improve neurological function recovery after stroke and are likely to be a promising strategy for stroke management."4.12Transplantation of Roxadustat-preconditioned bone marrow stromal cells improves neurological function recovery through enhancing grafted cell survival in ischemic stroke rats. ( Bingwa, LA; Chen, J; Jin, K; Lin, X; Lin, Z; Wang, H; Yang, S; Yao, C; Zhuge, Q, 2022)
"l-arginine:glycine amidinotransferase (AGAT) and its metabolites homoarginine (hArg) and creatine have been linked to stroke pathology in both human and mouse studies."3.96Homoarginine- and Creatine-Dependent Gene Regulation in Murine Brains with l-Arginine:Glycine Amidinotransferase Deficiency. ( Arunachalam, P; Choe, CU; Gelderblom, M; Gerloff, C; Jensen, M; Magnus, T; Müller, C; Schwedhelm, E; Zeller, T, 2020)
"We aimed to examine the association between glutamic acid and glycine intakes and the risk of mortality from stroke in a population-based cohort study in Japan."3.81Dietary intakes of glutamic acid and glycine are associated with stroke mortality in Japanese adults. ( Kawachi, T; Konishi, K; Nagata, C; Nakamura, K; Tamura, T; Tsuji, M; Wada, K, 2015)
" The hepatic metabolism of 3-[-2(phenylcarbamoyl) ethenyl]-4,6-dichloroindole-2-carboxylic acid (GV150526), a novel glycine antagonist for stroke, was investigated."3.70Human hepatic metabolism of a novel 2-carboxyindole glycine antagonist for stroke: in vitro-in vivo correlations. ( Barnaby, RJ; Ferrari, L; Gilissen, RA; Kajbaf, M, 2000)
"Ximelagatran is an oral direct thrombin inhibitor (DTI), the active form of which is melagatran."2.43Ximelagatran--a promising new drug in thromboembolic disorders. ( Petersen, P, 2005)
" In experimental models of thrombosis, melagatran has been shown to have a shallower dose-response curve than warfarin and, therefore, a better separation between efficacy and bleeding."2.42Oral direct thrombin inhibitors in clinical development. ( Gustafsson, D, 2003)
"Ximelagatran has the potential to meet this need."2.42Orally active direct thrombin inhibitors. ( Weitz, J, 2003)
"Melagatran is a synthetic, small-peptide direct thrombin inhibitor with anticoagulant activity."2.42The direct thrombin inhibitor melagatran/ximelagatran. ( Brighton, TA, 2004)
"Carnitine biosynthesis has been related to fatty acid oxidation, a process probably exerting neuroprotective effects."1.72Associations of plasma carnitine, lysine, trimethyllysine and glycine with incident ischemic stroke: Findings from a nested case-control study. ( Gu, S; Liu, D; Ma, Z; Wang, J; Xiao, L; Zhou, Z; Zuo, H, 2022)
"Treatment with glycine results in reduced infarct volume of the brain, neurologic function scores, and neuronal and microglial death in ischemic stroke injury."1.51Glycine Exhibits Neuroprotective Effects in Ischemic Stroke in Rats through the Inhibition of M1 Microglial Polarization via the NF-κB p65/Hif-1α Signaling Pathway. ( Bu, LH; Chen, SF; Liao, XY; Liu, R; Lu, LJ; Lu, PX; Pan, MX; Qin, XP; Tang, JC; Wan, Q; Zhang, Y; Zou, YY, 2019)
"Stroke is a multi-factorial disease influenced by both genetic and environmental factors."1.43Association between Endothelial nitric oxide synthase G894T gene polymorphism and risk of ischemic stroke in North Indian population: a case-control study. ( Chakravarty, K; Kathuria, P; Kumar, A; Kumar, P; Misra, S; Pandit, AK; Prasad, K; Sagar, R; Yadav, AK, 2016)
"The MELAS has been related to mutation A3243G in most cases, but some other mitochondrial DNA mutations were described in the background of this syndrome as well."1.37A8344G mutation of the mitochondrial DNA with typical mitochondrial encephalomyopathy with lactic acidosis and stroke-like episodes syndrome. ( Gál, A; Lukács, T; Molnár, MJ; Reményi, V; Semjén, J; Valikovics, A; Vastagh, I, 2011)
"Several of these syndromes are associated with an encephalopathy that characteristically shows episodes of rapid neurological deterioration and the development of acute cerebral lesions."1.36Localized cerebral energy failure in DNA polymerase gamma-associated encephalopathy syndromes. ( Bindoff, LA; Engelsen, BE; Ersland, L; Moen, G; Mørk, SJ; Neckelmann, G; Tzoulis, C; Viscomi, C; Zeviani, M, 2010)
"Diffuse leukoencephalopathy associated with ocular malformations of the Axenfeld-Rieger type was observed in five individuals."1.34COL4A1 mutation in Axenfeld-Rieger anomaly with leukoencephalopathy and stroke. ( Arveiler, B; Bouchet, JP; Burgelin, I; Calvas, P; Coupry, I; Dousset, V; Goizet, C; Gorry, P; Lacombe, D; Menegon, P; Orgogozo, JM; Orignac, I; Sibon, I, 2007)
"We introduced intracerebral hemorrhage in each of eight anesthetized New Zealand rabbits by injecting 0."1.32Extracellular glutamate and other amino acids in experimental intracerebral hemorrhage: an in vivo microdialysis study. ( Ali, Z; Baker, G; Guterman, LR; Hopkins, LN; Qureshi, AI; Shuaib, A; Suri, MF; Todd, K, 2003)
"During cerebral ischemia, the opening of neuronal ATP-sensitive potassium channels (K(ATP) channels) affords intrinsic protection by regulating membrane potential."1.32Targeting ischemic stroke with a novel opener of ATP-sensitive potassium channels in the brain. ( Feng, HS; Hu, G; Tang, XC; Wang, H; Zhang, YL, 2004)

Research

Studies (50)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's27 (54.00)29.6817
2010's14 (28.00)24.3611
2020's9 (18.00)2.80

Authors

AuthorsStudies
Singh, AK2
Carroll, K2
Perkovic, V2
Solomon, S2
Jha, V2
Johansen, KL2
Lopes, RD2
Macdougall, IC2
Obrador, GT2
Waikar, SS3
Wanner, C2
Wheeler, DC2
Więcek, A2
Blackorby, A2
Cizman, B2
Cobitz, AR2
Davies, R2
Dole, J1
Kler, L2
Meadowcroft, AM2
Zhu, X1
McMurray, JJV2
DiMino, TL1
Taft, L1
Chen, J2
Lin, X1
Yao, C1
Bingwa, LA1
Wang, H3
Lin, Z1
Jin, K1
Zhuge, Q1
Yang, S1
Liu, D1
Wang, J1
Xiao, L1
Gu, S2
Ma, Z1
Zhou, Z1
Zuo, H1
Ni, X1
Dong, W1
Qin, W1
Xu, L1
Jiang, Y1
Zhu, Z1
Yang, P1
Jia, Y1
Wang, Y2
Shi, M1
Zhong, C1
Peng, H1
Sun, L1
Guo, D1
Xu, Q1
Wang, A1
Xu, T1
He, J1
Zhang, Y2
Zhou, P1
Li, T1
Jin, J1
Liu, Y1
Li, B1
Sun, Q1
Tian, J1
Zhao, H1
Liu, Z1
Ma, S1
Zhang, S1
Novakovic, VA1
Shi, J1
Hu, S1
Jensen, M1
Müller, C1
Schwedhelm, E1
Arunachalam, P1
Gelderblom, M1
Magnus, T1
Gerloff, C1
Zeller, T1
Choe, CU1
Chen, Y1
Zelnick, LR1
Huber, MP1
Wang, K1
Bansal, N1
Hoofnagle, AN1
Paranji, RK1
Heckbert, SR1
Weiss, NS1
Go, AS1
Hsu, CY1
Feldman, HI1
Mehta, RC1
Srivastava, A1
Seliger, SL1
Lash, JP1
Porter, AC1
Raj, DS1
Kestenbaum, BR1
Zhou, J1
Li, J1
Rosenbaum, DM1
Zhuang, J1
Poon, C1
Qin, P1
Rivera, K1
Lepore, J1
Willette, RN1
Hu, E1
Barone, FC1
Liu, R1
Liao, XY1
Pan, MX1
Tang, JC1
Chen, SF1
Lu, PX1
Lu, LJ1
Zou, YY1
Qin, XP1
Bu, LH1
Wan, Q1
Fan, D1
Krishnamurthi, R1
Harris, P1
Barber, PA1
Guan, J1
Takatsuru, Y1
Eto, K1
Kaneko, R1
Masuda, H1
Shimokawa, N1
Koibuchi, N1
Nabekura, J1
Wang, YG1
Ma, TF1
Li, M1
Gu, SL1
Nagata, C1
Wada, K1
Tamura, T1
Kawachi, T1
Konishi, K1
Tsuji, M1
Nakamura, K1
Hanff, E1
Kayacelebi, AA1
Yanchev, GR1
Maassen, N1
Haghikia, A1
Tsikas, D1
Kumar, A1
Misra, S1
Kumar, P1
Sagar, R1
Prasad, K1
Pandit, AK1
Chakravarty, K1
Kathuria, P1
Yadav, AK1
Tzoulis, C1
Neckelmann, G1
Mørk, SJ1
Engelsen, BE1
Viscomi, C1
Moen, G1
Ersland, L1
Zeviani, M1
Bindoff, LA1
Chiu, D1
Peterson, L1
Elkind, MSV1
Rosand, J1
Gerber, LM1
Silverstein, MD1
Reismann, P1
Markoula, S1
Milionis, H1
Lazaros, L1
Spengos, K1
Vassilopoulou, S1
Chatzistefanidis, D1
Kargiotis, O1
Georgiou, I1
Kyritsis, AP1
Vastagh, I1
Gál, A1
Reményi, V1
Semjén, J1
Lukács, T1
Valikovics, A1
Molnár, MJ1
Selin, AA1
Lobysheva, NV1
Vorontsova, ON1
Tonshin, AA1
Yaguzhinsky, LS1
Nartsissov, YR1
Madden, K1
Duncan, PW1
Lai, SM1
Bode, RK1
Perera, S1
DeRosa, J1
Haas, S2
Qureshi, AI1
Ali, Z1
Suri, MF1
Shuaib, A1
Baker, G1
Todd, K1
Guterman, LR1
Hopkins, LN1
Pongrácz, E1
Tordai, A1
Csornai, M1
Béla, Z1
Nagy, Z1
Gustafsson, D1
Rundek, T2
Nielsen, K1
Phillips, S1
Johnston, KC1
Hux, M1
Watson, D1
Salam, AM1
Al-Mousa, EN1
Weitz, J1
Aslanyan, S1
Weir, CJ2
Johnston, SC1
Lees, KR3
Zhang, YL1
Tang, XC1
Feng, HS1
Hu, G1
Brighton, TA1
Zee, RY1
Hegener, HH1
Gould, J1
Ridker, PM1
Young, FB1
Baron, BM1
Cregge, RJ1
Farr, RA1
Friedrich, D1
Gross, RS1
Harrison, BL1
Janowick, DA1
Matthews, D1
McCloskey, TC1
Meikrantz, S1
Nyce, PL1
Vaz, R1
Metz, WA1
Petersen, P1
Serena, J1
Blanco, M1
Castellanos, M1
Silva, Y1
Vivancos, J1
Moro, MA1
Leira, R1
Lizasoain, I1
Castillo, J1
Dávalos, A1
Pinto, L1
Zen, P1
Rosa, R1
Paskulin, G1
Perla, A1
Barea, L1
Baumgartner, MR1
Dantas, MF1
Fowler, B1
Giugliani, R1
Vargas, C1
Wajner, M1
Graziadio, C1
Sibon, I1
Coupry, I1
Menegon, P1
Bouchet, JP1
Gorry, P1
Burgelin, I1
Calvas, P1
Orignac, I1
Dousset, V1
Lacombe, D1
Orgogozo, JM1
Arveiler, B1
Goizet, C1
Gilissen, RA1
Ferrari, L1
Barnaby, RJ1
Kajbaf, M1
Lavelle, JF1
Cunha, L1
Diener, HC1
Sanders, EA1
Tack, P1
Wester, P1
Sacco, RL1
DeRosa, JT1
Haley, EC1
Levin, B1
Ordronneau, P1
Phillips, SJ1
Snipes, RG1
Thompson, JL1
Plum, F1
Van Aken, H1
Bode, C1
Darius, H1
Diehm, C1
Encke, A1
Gulba, DC1
Hacke, W1
Puhl, W1
Quante, M1
Riess, H1
Scharf, R1
Schellong, S1
Schrör, T1
Schulte, KL1
Tebbe, U1
Fabio, RD1
Araldi, G1
Baraldi, D1
Cugola, A1
Donati, D1
Gastaldi, P1
Giacobbe, SA1
Micheli, F1
Pentassuglia, G1
Dambinova, SA1
Khounteev, GA1
Skoromets, AA1

Clinical Trials (3)

Trial Overview

TrialPhaseEnrollmentStudy TypeStart DateStatus
A Phase 3 Randomized, Open-label (Sponsor-blind), Active-controlled, Parallel-group, Multi-center, Event Driven Study in Dialysis Subjects With Anemia Associated With Chronic Kidney Disease to Evaluate the Safety and Efficacy of Daprodustat Compared to Re[NCT02879305]Phase 32,964 participants (Actual)Interventional2016-09-28Completed
A Phase 3 Randomized, Open-label (Sponsor-blind), Active-controlled, Parallel-group, Multi-center, Event Driven Study in Non-dialysis Subjects With Anemia Associated With Chronic Kidney Disease to Evaluate the Safety and Efficacy of Daprodustat Compared t[NCT02876835]Phase 33,872 participants (Actual)Interventional2016-09-27Completed
Sleep Apnea Syndrome and Incidence of Major Adverse Cardiac and Cerebrovascular Events (MACCEs) After a First Stroke[NCT04399200]1,620 participants (Anticipated)Observational2020-07-13Recruiting
[information is prepared from clinicaltrials.gov, extracted Sep-2024]

Trial Outcomes

Blood Pressure (BP) Exacerbation Event Rate Per 100 Participant Years

BP exacerbation was defined (based on post-dialysis) as: SBP >= 25 millimeter of mercury (mmHg) increased from Baseline or SBP >=180 mmHg; DBP >=15 mmHg increased from Baseline or DBP >=110 mmHg. The BP exacerbation events per 100 participant years was estimated using the negative binomial model with treatment, dialysis type and region as covariates and the logarithm of time on-treatment as an offset variable. Data for post-dialysis BP measurements have been presented. (NCT02879305)
Timeframe: Day 1 to end of study (3.9 person-years for follow-up time period)

InterventionEvents per 100 participant years (Number)
Daprodustat207.13
rhEPO206.38

Change From Baseline in On-Treatment EuroQol Visual Analogue Scale (EQ-VAS) at Week 52

The EQ VAS records the respondent's self-rated health on a vertical VAS, ranging from 0 to 100, where 0 represents the worst health one can imagine and 100 represents the best health one can imagine. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02879305)
Timeframe: Baseline (Pre-dose on Day 1) and Week 52

InterventionScores on a scale (Least Squares Mean)
Daprodustat-1.0
rhEPO0.8

Change From Baseline in On-Treatment Health Utility EuroQol 5 Dimensions 5 Level (EQ-5D-5L) Questionnaire Score at Week 52

EQ-5D-5L is self-assessment questionnaire,consisting of 5 items covering 5 dimensions (mobility,self care,usual activities,pain/discomfort and anxiety/depression). Each dimension is measured by 5-point Likert scale (1=no problems, 2=slight problems, 3=moderate problems, 4=severe problems and 5=extreme problems). Responses for 5 dimensions together formed a 5-figure description of health state (e.g.11111 indicates no problems in all 5 dimensions). Each of these 5 figure health states were converted to a single index score by applying country-specific value set formula that attaches weights to dimensions and levels. Range for EQ-5D-5L index score is -0.594 (worst health) to 1 (full health state). Change from Baseline was calculated as on-treatment visit value-Baseline value. Baseline was latest non-missing pre-dose assessment on or before randomization date. (NCT02879305)
Timeframe: Baseline (Pre-dose on Day 1) and Week 52

InterventionScores on a scale (Least Squares Mean)
Daprodustat-0.0198
rhEPO-0.0201

Change From Baseline in Post-randomization Hemoglobin Levels at Week 52

Blood samples were collected from participants for hemoglobin measurements. Change from Baseline was defined as post-Baseline value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. Analysis was performed using mixed model repeated measures (MMRM) model fitted from Baseline up to Week 52, excluding values collected during the stabilization period, with factors for treatment, time, dialysis type, region, Baseline hemoglobin and Baseline hemoglobin by time and treatment by time interactions. (NCT02879305)
Timeframe: Baseline (Pre-dose on Day 1) and Week 52

InterventionGrams per deciliter (Least Squares Mean)
Daprodustat0.26
rhEPO0.14

Mean Average Monthly On-treatment IV Iron Dose Per Participant

Average monthly IV iron dose (milligrams) per participant from Day 1 to Week 52 was determined by calculating the total IV iron dose per participant from treatment start date + 1 to the earliest of (Week 52 visit date, first blood (red blood cell [RBC] or whole blood) transfusion date, and treatment stop date + 1 day) which corresponds to the time while the participant was on randomized treatment and before receiving a blood transfusion. This total IV iron dose was divided by (the number of days from treatment start date + 1 to the earliest of (Week 52 visit date, first blood transfusion date (RBC or whole blood), and treatment stop date +1) / 30.4375 days). This endpoint was adjusted for multiplicity using the Holm-Bonferonni method. (NCT02879305)
Timeframe: Day 1 to Week 52

InterventionMilligrams (Least Squares Mean)
Daprodustat90.8
rhEPO99.9

Mean Change From Baseline in Hemoglobin (Hgb) Levels During Evaluation Period (Week 28 to Week 52)

Blood samples were collected from participants for hemoglobin measurements. Hemoglobin during the evaluation period was defined as the mean of all available post-randomization hemoglobin values (on and off-treatment) during the evaluation period (Week 28 to Week 52). For the primary analysis, missing post-Baseline hemoglobin values were imputed using pre-specified multiple imputation methods. Change from Baseline was defined as post-Baseline value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02879305)
Timeframe: Baseline (Pre-dose on Day 1) and evaluation period (Week 28 to Week 52)

InterventionGrams per deciliter (Least Squares Mean)
Daprodustat0.28
rhEPO0.10

Number of Hgb Responders in the Hgb Analysis Range (10 to 11.5 Grams/Deciliter) During Evaluation Period (Week 28 to Week 52)

Mean Hgb during the evaluation period was defined as the mean of all evaluable Hgb values during the evaluation period (Week 28 to Week 52) including any evaluable unscheduled Hgb values that were taken during this time period. Hemoglobin responders were defined as participants with a mean Hgb during the evaluation period that falls within the Hgb analysis range of 10-11.5 g/dL. (NCT02879305)
Timeframe: Week 28 to Week 52

InterventionParticipants (Count of Participants)
Daprodustat903
rhEPO866

Number of Participants With at Least One BP Exacerbation Event During Study

BP exacerbation was defined as: SBP >= 25 mmHg increased from Baseline or SBP >=180 mmHg; DBP >=15 mmHg increased from Baseline or DBP >=110 mmHg. Number of participants with at least one BP exacerbation event is presented. (NCT02879305)
Timeframe: Day 1 to end of study (3.9 person-years for follow-up time period)

InterventionParticipants (Count of Participants)
Daprodustat1191
rhEPO1186

Percentage of Participants Permanently Stopping Randomized Treatment Due to Meeting Rescue Criteria

Percentage of participants permanently stopping randomized treatment due to meeting rescue criteria has been presented. (NCT02879305)
Timeframe: Day 1 to 45.1 months

InterventionPercentage of participants (Number)
Daprodustat3.6
rhEPO3.6

Percentage of Time With Hemoglobin in the Analysis Range (10 to 11.5 Grams/Deciliter) During Evaluation Period (Week 28 to Week 52): Non-inferiority Analysis

Percentage of days for which a participant's Hgb was within the analysis range of 10-11.5 g/dL (both inclusive) during the evaluation period (Week 28 to Week 52), including any unscheduled evaluable Hgb values that were taken during this time period was calculated. Percentage of time in the analysis range during evaluation period is calculated as time in range during the evaluation period / [Earlier of (Date of the last evaluable Hgb value, Week 52 visit date) - Later of (Date of the first evaluable Hgb value that between Week 16 and Week 52 inclusive, Week 28 visit date)]. (NCT02879305)
Timeframe: Week 28 to Week 52

InterventionPercentage of days (Median)
Daprodustat60.9
rhEPO59.4

Percentage of Time With Hemoglobin in the Analysis Range (10 to 11.5 Grams/Deciliter) During Evaluation Period (Week 28 to Week 52): Superiority Analysis

Percentage of days for which a participant's Hgb was within the analysis range of 10-11.5 g/dL (both inclusive) during the evaluation period (Week 28 to Week 52), including any unscheduled evaluable Hgb values that were taken during this time period was calculated. Percentage of time in the analysis range during evaluation period is calculated as time in range during the evaluation period / [Earlier of (Date of the last evaluable Hgb value, Week 52 visit date) - Later of (Date of the first evaluable Hgb value that between Week 16 and Week 52 inclusive, Week 28 visit date)]. (NCT02879305)
Timeframe: Week 28 to Week 52

InterventionPercentage of days (Median)
Daprodustat60.9
rhEPO59.4

Percentage of Time With Hemoglobin in the Analysis Range (10 to 11.5 Grams/Deciliter) During Maintenance Period (Week 28 to End of Study): Non-inferiority Analysis

Percentage of days for which a participant's Hgb was within the analysis range of 10-11.5 g/dL (both inclusive) during the maintenance period (Week 28 to end of study), including any unscheduled evaluable Hgb values that were taken during this time period was calculated. Percentage of time in the analysis range during maintenance period is calculated as time in range during the maintenance period / [Earlier of (Date of the last evaluable Hgb value, End of study date)- Later of (Date of the first evaluable Hgb value that is on or after week 16, Week 28 visit date)]. (NCT02879305)
Timeframe: Week 28 to end of study (3.9 person-years for follow-up time period)

InterventionPercentage of days (Median)
Daprodustat60.9
rhEPO57.7

Percentage of Time With Hemoglobin in the Analysis Range (10 to 11.5 Grams/Deciliter) During Maintenance Period (Week 28 to End of Study): Superiority Analysis

Percentage of days for which a participant's Hgb was within the analysis range of 10-11.5 g/dL (both inclusive) during the maintenance period (Week 28 to end of study), including any unscheduled evaluable Hgb values that were taken during this time period was calculated. Percentage of time in the analysis range during maintenance period is calculated as time in range during the maintenance period / [Earlier of (Date of the last evaluable Hgb value, End of study date)- Later of (Date of the first evaluable Hgb value that is on or after week 16, Week 28 visit date)]. (NCT02879305)
Timeframe: Week 28 to end of study (3.9 person-years for follow-up time period)

InterventionPercentage of days (Median)
Daprodustat60.9
rhEPO57.7

Time to First Occurrence of Adjudicated All-Cause Mortality During Vital Status for Follow-up Time Period

Time to first occurrence of adjudicated all-cause mortality was analyzed using a Cox proportional hazards regression model with treatment group, dialysis type and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the vital status for follow-up time period. (NCT02879305)
Timeframe: Up to 3.9 person-years for vital status follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat8.32
rhEPO8.59

Time to First Occurrence of Adjudicated CV Mortality During CV Events Follow-up Time Period

Time to first occurrence of adjudicated CV mortality was analyzed using a Cox proportional hazards regression model with treatment group, dialysis type and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02879305)
Timeframe: Up to 3.9 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat3.31
rhEPO3.46

Time to First Occurrence of Adjudicated CV Mortality or Non-Fatal MI During CV Events Follow-up Time Period

Time to first occurrence of adjudicated CV mortality or non-fatal MI was analyzed using a Cox proportional hazards regression model with treatment group, dialysis type and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02879305)
Timeframe: Up to 3.9 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat5.98
rhEPO6.79

Time to First Occurrence of Adjudicated Hospitalization for Heart Failure During CV Events Follow-up Time Period

Time to first occurrence of adjudicated hospitalization for heart failure was analyzed using a Cox proportional hazards regression model with treatment group, dialysis type and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02879305)
Timeframe: Up to 3.9 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat3.30
rhEPO3.01

Time to First Occurrence of Adjudicated MACE During CV Events Follow-up Time Period: Superiority Analysis

Time to MACE defined as the time to first occurrence of CEC adjudicated MACE was analyzed using a Cox proportional hazards regression model with treatment group, dialysis type and region as covariate. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. This endpoint was adjusted for multiplicity using the Holm-Bonferonni method. (NCT02879305)
Timeframe: Up to 3.9 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat11.07
rhEPO11.86

Time to First Occurrence of Adjudicated MACE or Hospitalization for Heart Failure During CV Events Follow-up Time Period

Time to first occurrence of adjudicated MACE or hospitalization for heart failure was analyzed using a Cox proportional hazards regression model with treatment group, dialysis type and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. This endpoint was adjusted for multiplicity using the Holm-Bonferonni method. (NCT02879305)
Timeframe: Up to 3.9 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat12.98
rhEPO13.38

Time to First Occurrence of Adjudicated MACE or Hospitalization for Heart Failure or Thromboembolic Events During CV Events Follow-up Time Period

Time to first occurrence of adjudicated MACE or hospitalization for heart failure or thromboembolic events were analyzed using a Cox proportional hazards regression model with treatment group, dialysis type and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02879305)
Timeframe: Up to 3.9 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat17.74
rhEPO19.50

Time to First Occurrence of Adjudicated MACE or Thromboembolic Event During CV Events Follow-up Time Period

Time to first occurrence of adjudicated MACE or thromboembolic event (vascular access thrombosis, symptomatic deep vein thrombosis or symptomatic pulmonary embolism) was analyzed using a Cox proportional hazards regression model with with treatment group, dialysis type and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. This endpoint was adjusted for multiplicity using the Holm-Bonferonni method. (NCT02879305)
Timeframe: Up to 3.9 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat15.84
rhEPO17.85

Time to First Occurrence of Adjudicated Major Adverse Cardiovascular Event (MACE) During Cardiovascular (CV) Events Follow-up Time Period: Non-inferiority Analysis

Time to MACE defined as the time to first occurrence of Clinical Events Committee (CEC) adjudicated MACE (composite of all-cause mortality, non-fatal myocardial infarction [MI] and non-fatal stroke) was analyzed using a Cox proportional hazards regression model with treatment group, dialysis type and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) plus (+) 1. The incidence rate per 100 person years calculated as (100 multiplied by [*] number of participants with at least 1 event) divided by [/] first event person-years) is presented along with 95 percent (%) confidence interval (CI). First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02879305)
Timeframe: Up to 3.9 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat11.07
rhEPO11.86

Time to First Occurrence of Adjudicated Myocardial Infarction (MI) (Fatal and Non-Fatal) During CV Events Follow-up Time Period

Time to first occurrence of adjudicated MI (fatal and non-fatal) was analyzed using a Cox proportional hazards regression model with treatment group, dialysis type and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02879305)
Timeframe: Up to 3.9 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat3.34
rhEPO4.08

Time to First Occurrence of Adjudicated Stroke (Fatal and Non-Fatal) During CV Events Follow-up Time Period

Time to first occurrence of adjudicated stroke (fatal and non-fatal) was analyzed using a Cox proportional hazards regression model with treatment group, dialysis type and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02879305)
Timeframe: Up to 3.9 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat1.23
rhEPO1.48

Time to First Occurrence of Adjudicated Thromboembolic Events During CV Events Follow-up Time Period

Time to first occurrence of adjudicated thromboembolic events were analyzed using a Cox proportional hazards regression model with treatment group, dialysis type and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02879305)
Timeframe: Up to 3.9 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat5.66
rhEPO6.75

Time to First Occurrence of All-Cause Hospital Re-admission Within 30 Days During CV Events Follow-up Time Period

All-cause hospital re-admissions within 30days are defined as hospital admissions recorded on hospitalization eCRF with hospitalization duration of >=24 hours and admission date within 30days following previous discharge date of all-cause hospitalization event, where previous hospitalization was >=24 hours. Time to first occurrence of all-cause hospital re-admission within 30days was analyzed using Cox proportional hazards regression model with treatment group, dialysis type and region as covariates. Time to the first occurrence was computed as (event date minus randomization date)+1. Incidence rate per 100person years calculated as(100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event+cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02879305)
Timeframe: Up to 3.9 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat8.86
rhEPO9.67

Time to First Occurrence of All-Cause Hospitalization During CV Events Follow-up Time Period

All-cause hospitalization events were hospital admissions recorded on the Hospitalization electronic case report form (eCRF) with a hospitalization duration >=24 hours. Time to first occurrence of all-cause hospitalization was analyzed using a Cox proportional hazards regression model with treatment group, dialysis type and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02879305)
Timeframe: Up to 3.9 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat43.92
rhEPO46.03

Change From Baseline in On-Treatment Mental Component Score (MCS) Using SF-36 HRQoL Questionnaire at Weeks 8, 12, 28, 52

The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: physical functioning, role-physical (role limitations caused by physical problems), social functioning, bodily pain, mental health, role-emotional (role limitations caused by emotional problems), vitality and general health. Each domain is scored from 0 (poorer health) to 100 (better health). MCS is an average score derived from 4 domains (vitality, social functioning, role-emotional and mental health) representing overall mental health. MCS ranges from 0 to 100; higher scores represent better health. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02879305)
Timeframe: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52

,
InterventionScores on a scale (Least Squares Mean)
Week 8, n=982,936Week 12, n=990,943Week 28, n=836,819Week 52, n=729,707
Daprodustat-0.38-0.55-1.25-1.63
rhEPO-0.21-0.72-1.23-1.03

Change From Baseline in On-Treatment Patient Global Impression of Severity (PGI-S) at Weeks 8, 12, 28, 52

The PGI-S is a 1-item questionnaire designed to assess participant's impression of disease severity on a 5-point disease severity scale (0=absent, 1=mild, 2=moderate, 3=severe, or 4=very severe). A higher score indicated worse outcome. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02879305)
Timeframe: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52

,
InterventionScores on a scale (Least Squares Mean)
Week 8, n=1102,1064Week 12, n=1102,1073Week 28, n=934,933Week 52, n=826,814
Daprodustat-0.030.020.040.06
rhEPO0.020.060.080.11

Change From Baseline in On-Treatment Physical Component Score (PCS) Using Short Form (SF)-36 Health-related Quality of Life (HRQoL) Questionnaire at Weeks 8, 12, 28, 52

The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: physical functioning, role-physical (role limitations caused by physical problems), social functioning, bodily pain, mental health, role-emotional (role limitations caused by emotional problems), vitality and general health. Each domain is scored from 0 (poorer health) to 100 (better health). The PCS is an average score derived from 4 domains (physical functioning, role-physical, bodily pain and general health) representing overall physical health. PCS ranges from 0 to 100; higher scores represent better health. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02879305)
Timeframe: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52

,
InterventionScores on a scale (Least Squares Mean)
Week 8, n=982,936Week 12, n=990,943Week 28, n=836,819Week 52, n=729,707
Daprodustat0.300.33-0.23-0.52
rhEPO0.01-0.27-0.57-1.05

Change From Baseline in On-Treatment Physical Functioning Domain Scores Using SF-36 HRQoL Questionnaire at Weeks 8, 12, 28, 52

The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: physical functioning, role-physical (role limitations caused by physical problems), social functioning, bodily pain, mental health, role-emotional (role limitations caused by emotional problems), vitality and general health. Each domain is scored from 0 (poorer health) to 100 (better health). Physical functioning score ranges from 0 to 100; higher scores represent better health. Change from Baseline was calculated as on-treatment visit value minus (-) Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02879305)
Timeframe: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52

,
InterventionScores on a scale (Least Squares Mean)
Week 8, n=982,936Week 12, n=990,943Week 28, n=836,819Week 52, n=729,707
Daprodustat0.480.11-0.20-0.61
rhEPO-0.16-0.45-0.97-1.19

Change From Baseline in On-Treatment SF-36 HRQoL Scores for Bodily Pain, General Health, Mental Health, Role-Emotional, Role-Physical, Social Functioning at Weeks 8, 12, 28, 52

The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: bodily pain, general health, mental health, role-emotional (role limitations caused by emotional problems), role-physical (role limitations caused by physical problems), social functioning (Social fun), physical functioning (Phy. fun) and vitality. Each domain is scored from 0 (poorer health) to 100 (better health). Each domain score ranges from 0 to 100, higher score indicates a better health state and better functioning. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02879305)
Timeframe: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52

,
InterventionScores on a scale (Least Squares Mean)
Bodily pain: Week 8, n=982,936Bodily pain: Week 12, n=990,943Bodily pain: Week 28, n=836,819Bodily pain: Week 52, n=729,707General health: Week 8, n=982,936General health: Week 12, n=990,943General health: Week 28, n=836,819General health: Week 52, n=729,707Mental health: Week 8, n=982,936Mental health: Week 12, n=990,943Mental health: Week 28, n=836,819Mental health: Week 52, n=729,707Role-emotional: Week 8, n=982,936Role-emotional: Week 12, n=990,943Role-emotional: Week 28, n=836,819Role-emotional: Week 52, n=729,707Role-physical: Week 8, n=982,936Role-physical: Week 12, n=990,943Role-physical: Week 28, n=836,819Role-physical: Week 52, n=729,707Social functioning: Week 8, n=982,936Social functioning: Week 12, n=990,943Social functioning: Week 28, n=836,819Social functioning: Week 52, n=729,707
Daprodustat-0.130.20-0.70-1.12-0.39-0.59-1.32-1.51-0.43-0.86-1.30-1.97-0.10-0.17-0.95-0.830.400.48-0.10-0.210.240.25-0.61-1.12
rhEPO0.12-0.39-0.74-1.39-0.65-1.04-0.99-1.22-0.47-0.81-1.43-1.16-0.02-0.53-0.90-0.920.320.08-0.39-0.600.38-0.44-0.94-1.14

Change From Baseline in On-Treatment Vitality Scores Using SF-36 HRQoL Questionnaire at Weeks 8, 12, 28, 52

The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: physical functioning, role-physical (role limitations caused by physical problems), social functioning, bodily pain, mental health, role-emotional (role limitations caused by emotional problems), vitality and general health. Each domain is scored from 0 (poorer health) to 100 (better health). Vitality score ranges from 0 to 100; higher scores represent better health. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02879305)
Timeframe: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52

,
InterventionScores on a scale (Least Squares Mean)
Week 8, n=982,936Week 12, n=990,943Week 28, n=836,819Week 52, n=729,707
Daprodustat-0.23-0.17-0.79-1.19
rhEPO-0.26-0.51-1.03-1.04

Change From Baseline in SBP, DBP, MAP at End of Treatment

SBP, DBP and MAP were measured in a semi-supine or seated position in the dialysis chair after at least a 5-minutes of rest. MAP is an average BP in an individual's arteries during a single cardiac cycle. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. This analysis was carried out by using ANCOVA model with terms for treatment group, dialysis type, region and Baseline value. Data for post-dialysis BP measurements have been presented. (NCT02879305)
Timeframe: Baseline (Week -4) and 45.1 months

,
InterventionMillimeter of mercury (Least Squares Mean)
SBPDBPMAP
Daprodustat-0.43-0.92-0.75
rhEPO-0.43-1.37-1.06

Change From Baseline in Systolic Blood Pressure (SBP), Diastolic Blood Pressure (DBP) and Mean Arterial Blood Pressure (MAP) at Week 52

SBP, DBP and MAP were measured in a semi-supine or seated position in the dialysis chair after at least a 5-minutes of rest. MAP is the average BP in an individual's arteries during a single cardiac cycle. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. Analysis was performed using MMRM model with treatment group + time + dialysis type + region + Baseline value + Baseline value*time + treatment group*time, using an unstructured covariance matrix. Data for post-dialysis BP measurements have been presented. (NCT02879305)
Timeframe: Baseline (Week -4) and Week 52

,
InterventionMillimeter of mercury (Least Squares Mean)
SBPDBPMAP
Daprodustat-0.61-1.04-0.89
rhEPO-0.93-0.58-0.71

Number of Participants With Adjudicated MACE or Hospitalization for Heart Failure (Recurrent Events Analysis)

Number of participants with adjudicated MACE or hospitalization for heart failure (recurrent events analysis) is presented, categorized by number of occurrences of adjudicated MACE or hospitalization for heart failure per participant. (NCT02879305)
Timeframe: Up to 3.9 person-years for CV follow-up time period

,
InterventionParticipants (Count of Participants)
Occurrences per participant: 0Occurrences per participant: 1Occurrences per participant: 2Occurrences per participant: 3Occurrences per participant: 4Occurrences per participant: 5Occurrences per participant: 6Occurrences per participant: 7Occurrences per participant: 8Occurrences per participant: 9Occurrences per participant: 10
Daprodustat106231572253440011
rhEPO1044300882211432111

Blood Pressure (BP) Exacerbation Event Rate Per 100 Participant Years

BP exacerbation event (based on post-dialysis) was defined as: SBP >= 25 millimeter of mercury (mmHg) increased from Baseline or SBP >=180 mmHg; DBP >=15 mmHg increased from Baseline or DBP >=110 mmHg. The BP exacerbation events per 100 participant years was estimated using the negative binomial model with treatment, current ESA use at randomization and region as covariates and the logarithm of time on-treatment as an offset variable. Data for post-dialysis BP measurements have been presented. (NCT02876835)
Timeframe: Day 1 to end of treatment (51.1 months)

InterventionEvents per 100 participant years (Number)
Daprodustat138.50
Darbepoetin Alfa157.35

Change From Baseline in On-treatment EQ Visual Analogue Scale (EQ-VAS) at Week 52

The EQ VAS records the respondent's self-rated health on a vertical VAS, ranging from 0 to 100, where 0 represents the worst imaginable health and 100 represents the best imaginable health. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02876835)
Timeframe: Baseline (Pre-dose on Day 1) and Week 52

InterventionScores on a scale (Least Squares Mean)
Daprodustat-0.7
Darbepoetin Alfa-1.4

Change From Baseline in On-treatment Health Utility EuroQol 5 Dimensions 5 Level (EQ-5D-5L) Questionnaire Score at Week 52

EQ-5D-5L is self-assessment questionnaire, consisting of 5 items covering 5 dimensions (mobility, self care, usual activities, pain/discomfort and anxiety/depression). Each dimension is measured by 5-point Likert scale (1=no problems, 2=slight problems, 3=moderate problems, 4=severe problems and 5=extreme problems). Responses for 5 dimensions together formed a 5-figure description of health state (e.g.11111 indicates no problems in all 5 dimensions). Each of these 5 figure health states were converted to a single index score by applying country-specific value set formula that attaches weights to dimensions and levels. Range for EQ-5D-5L index score is -0.594 (worst health) to 1 (full health state). Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was latest non-missing pre-dose assessment on or before randomization date. (NCT02876835)
Timeframe: Baseline (Pre-dose on Day 1) and Week 52

InterventionScores on a scale (Least Squares Mean)
Daprodustat-0.0253
Darbepoetin Alfa-0.0018

Change From Baseline in Post-randomization Estimated Glomerular Filtration Rate (eGFR) at Week 52

Blood samples were collected to analyze estimated glomerular filtration rate. Change from Baseline was calculated as post-Baseline visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02876835)
Timeframe: Baseline (Pre-dose on Day 1) and Week 52

InterventionmL per minute per 1.73 square meter (Least Squares Mean)
Daprodustat-2.88
Darbepoetin Alfa-2.67

Change From Baseline in Post-randomization Hgb Levels at Week 52

Blood samples were collected from participants for Hgb measurements. Change from Baseline was defined as post-randomization value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. Analysis was performed using mixed model repeated measures (MMRM) model fitted from Baseline up to Week 52, excluding values collected during the stabilization period, with factors for treatment, time, current ESA use, region, Baseline Hgb and Baseline Hgb by time and treatment by time interactions. (NCT02876835)
Timeframe: Baseline (Pre-dose on Day 1) and Week 52

InterventionGrams per deciliter (Least Squares Mean)
Daprodustat0.76
Darbepoetin Alfa0.73

Mean Change From Baseline in Hgb Levels Over the Evaluation Period (Week 28 to Week 52)

Blood samples were collected from participants for Hgb measurements. Hgb during the evaluation period was defined as the mean of all available post-randomization Hgb values (on and off-treatment) during the evaluation period (Week 28 to Week 52). For the primary analysis missing post-Baseline Hgb values were imputed using pre-specified multiple imputation methods. Change from Baseline was defined as post-Baseline value minus (-) Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. Analysis was performed using the Analysis of covariance (ANCOVA) model with terms for treatment, Baseline Hgb, current ESA use and region. (NCT02876835)
Timeframe: Baseline (Pre-dose on Day 1) and evaluation period (Week 28 to Week 52)

InterventionGrams per deciliter (Least Squares Mean)
Daprodustat0.74
Darbepoetin Alfa0.66

Number of Hgb Responders in the Hgb Analysis Range (10 to 11.5 Grams/Deciliter) During Evaluation Period (Week 28 to Week 52)

Mean Hgb during the evaluation period was defined as the mean of all evaluable Hgb values during the evaluation period (Week 28 to Week 52) including any evaluable unscheduled Hgb values that were taken during this time period. Hgb responders were defined as participants with a mean Hgb during the evaluation period that falls within the Hgb analysis range of 10-11.5 g/dL. (NCT02876835)
Timeframe: Week 28 to Week 52

InterventionParticipants (Count of Participants)
Daprodustat1167
Darbepoetin Alfa1063

Number of Participants With at Least One BP Exacerbation Event During Study

BP exacerbation was defined as: SBP >= 25 mmHg increased from Baseline or SBP >=180 mmHg; DBP >=15 mmHg increased from Baseline or DBP >=110 mmHg. Number of participants with at least one BP exacerbation event is presented. (NCT02876835)
Timeframe: Day 1 to end of treatment (51.1 months)

InterventionParticipants (Count of Participants)
Daprodustat939
Darbepoetin Alfa1012

Percentage of Participants Permanently Stopping Randomized Treatment Due to Meeting Rescue Criteria

Percentage of participants permanently stopping randomized treatment due to meeting rescue criteria has been presented. (NCT02876835)
Timeframe: Day 1 to 51.1 months

InterventionPercentage of participants (Number)
Daprodustat2.0
Darbepoetin Alfa3.3

Percentage of Time With Hemoglobin in the Analysis Range (10 to 11.5 Grams/Deciliter) During Maintenance Period (Week 28 to End of Study): Superiority Analysis

Percentage of days for which a participant's Hgb was within the analysis range of 10-11.5 g/dL (both inclusive) during the maintenance period (Week 28 to end of study), including any unscheduled evaluable Hgb values that were taken during this time period was calculated. Percentage of time in the analysis range during maintenance period is calculated as time in range during the maintenance period / [Earlier of (Date of the last evaluable Hgb value, End of study date)- Later of (Date of the first evaluable Hgb value that is on or after week 16, Week 28 visit date)]. (NCT02876835)
Timeframe: Week 28 to end of study (4.3 person-years for follow-up time period)

InterventionPercentage of days (Median)
Daprodustat66.1
Darbepoetin Alfa62.1

Percentage of Time With Hgb in the Analysis Range (10 to 11.5 Grams/Deciliter) During Evaluation Period (Week 28 to Week 52): Non-inferiority Analysis

Percentage of days for which a participant's Hgb was within the analysis range of 10-11.5 g/dL (both inclusive) during the evaluation period (Week 28 to Week 52), including any unscheduled evaluable Hgb values that were taken during this time period was calculated. Percentage of time in the analysis range during evaluation period is calculated as time in range during the evaluation period / [Earlier of (Date of the last evaluable Hgb value, Week 52 visit date) - Later of (Date of the first evaluable Hgb value that between Week 16 and Week 52 inclusive, Week 28 visit date)]. (NCT02876835)
Timeframe: Week 28 to Week 52

InterventionPercentage of days (Median)
Daprodustat70.5
Darbepoetin Alfa63.2

Percentage of Time With Hgb in the Analysis Range (10 to 11.5 Grams/Deciliter) During Evaluation Period (Week 28 to Week 52): Superiority Analysis

Percentage of days for which a participant's Hgb was within the analysis range of 10-11.5 g/dL (both inclusive) during the evaluation period (Week 28 to Week 52), including any unscheduled evaluable Hgb values that were taken during this time period was calculated. Percentage of time in the analysis range during evaluation period is calculated as time in range during the evaluation period / [Earlier of (Date of the last evaluable Hgb value, Week 52 visit date) - Later of (Date of the first evaluable Hgb value that between Week 16 and Week 52 inclusive, Week 28 visit date)]. (NCT02876835)
Timeframe: Week 28 to Week 52

InterventionPercentage of days (Median)
Daprodustat70.5
Darbepoetin Alfa63.2

Percentage of Time With Hgb in the Analysis Range (10 to 11.5 Grams/Deciliter) During Maintenance Period (Week 28 to End of Study): Non-inferiority Analysis

Percentage of days for which a participant's Hgb was within the analysis range of 10-11.5 g/dL (both inclusive) during the maintenance period (Week 28 to end of study), including any unscheduled evaluable Hgb values that were taken during this time period was calculated. Percentage of time in the analysis range during maintenance period is calculated as time in range during the maintenance period / [Earlier of (Date of the last evaluable Hgb value, End of study date)- Later of (Date of the first evaluable Hgb value that is on or after week 16, Week 28 visit date)]. (NCT02876835)
Timeframe: Week 28 to end of study (4.3 person-years for follow-up time period)

InterventionPercentage of days (Median)
Daprodustat66.1
Darbepoetin Alfa62.1

Time to First Occurrence of Adjudicated All-Cause Mortality During Vital Status for Follow-up Time Period

Time to first occurrence of adjudicated all-cause mortality was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the vital status follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for vital status follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat8.35
Darbepoetin Alfa8.27

Time to First Occurrence of Adjudicated CV Mortality During CV Events Follow-up Time Period

Time to first occurrence of adjudicated CV mortality was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat3.02
Darbepoetin Alfa2.55

Time to First Occurrence of Adjudicated CV Mortality or Non-Fatal MI During CV Events Follow-up Time Period

Time to first occurrence of adjudicated CV mortality or non-fatal MI was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat5.36
Darbepoetin Alfa4.98

Time to First Occurrence of Adjudicated Hospitalization for Heart Failure During CV Events Follow-up Time Period

Time to first occurrence of adjudicated hospitalization for heart failure was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat4.05
Darbepoetin Alfa3.30

Time to First Occurrence of Adjudicated MACE During CV Events Follow-up Time Period (Superiority Analysis)

Time to MACE defined as the time to first occurrence of CEC adjudicated MACE was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariate. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. This endpoint was adjusted for multiplicity using the Holm-Bonferonni method. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat10.86
Darbepoetin Alfa10.63

Time to First Occurrence of Adjudicated MACE or Hospitalization for Heart Failure During CV Events Follow-up Time Period

Time to first occurrence of adjudicated MACE or hospitalization for heart failure was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. This endpoint was adjusted for multiplicity using the Holm-Bonferonni method. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat13.16
Darbepoetin Alfa12.22

Time to First Occurrence of Adjudicated MACE or Hospitalization for Heart Failure or Thromboembolic Events During CV Events Follow-up Time Period

Time to first occurrence of adjudicated MACE or hospitalization for heart failure or thromboembolic events were analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat14.60
Darbepoetin Alfa13.32

Time to First Occurrence of Adjudicated MACE or Thromboembolic Event During CV Events Follow-up Time Period

Time to first occurrence of adjudicated MACE or thromboembolic event (vascular access thrombosis, symptomatic deep vein thrombosis or symptomatic pulmonary embolism) was analyzed using a Cox proportional hazards regression model with with treatment group, current ESA use at randomization, and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. This endpoint was adjusted for multiplicity using the Holm-Bonferonni method. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat12.34
Darbepoetin Alfa11.77

Time to First Occurrence of Adjudicated Major Adverse Cardiovascular Event (MACE) During Cardiovascular (CV) Events Follow-up Time Period (Non-inferiority Analysis)

Time to MACE defined as time to first occurrence of Clinical Events Committee (CEC) adjudicated MACE (composite of all-cause mortality, non-fatal myocardial infarction [MI] and non-fatal stroke) was analyzed using a Cox proportional hazards regression model with treatment group, current erythropoiesis-stimulating agents (ESA) use at randomization and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) plus (+) 1. The incidence rate per 100 person years calculated as (100 multiplied [*] number of participants with at least 1 event) divided by [/] first event person-years) is presented along with 95 percent (%) confidence interval (CI). First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat10.86
Darbepoetin Alfa10.63

Time to First Occurrence of Adjudicated Myocardial Infarction (MI) (Fatal and Non-Fatal) During CV Events Follow-up Time Period

Time to first occurrence of adjudicated MI (fatal and non-fatal) was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat2.94
Darbepoetin Alfa2.76

Time to First Occurrence of Adjudicated Stroke (Fatal and Non-Fatal) During CV Events Follow-up Time Period

Time to first occurrence of adjudicated stroke (fatal and non-fatal) was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat1.26
Darbepoetin Alfa0.95

Time to First Occurrence of Adjudicated Thromboembolic Events During CV Events Follow-up Time Period

Time to first occurrence of adjudicated thromboembolic events were analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat1.81
Darbepoetin Alfa1.43

Time to First Occurrence of All-Cause Hospital Re-admission Within 30 Days During CV Events Follow-up Time Period

All-cause hospital re-admissions within 30days are defined as hospital admissions recorded on hospitalization electronic case record form with hospitalization duration of >=24 hours and admission date within 30days following previous discharge date of all-cause hospitalization event, where previous hospitalization was >=24hours.Time to first occurrence of all-cause hospital re-admission within 30days was analyzed using Cox proportional hazards regression model with treatment group, current ESA use at randomization and region as covariates.Time to the first occurrence was computed as(event date - randomization date)+1. Incidence rate per 100 person years calculated as(100*number of participants with at least 1event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event+cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat7.78
Darbepoetin Alfa7.55

Time to First Occurrence of All-Cause Hospitalization During CV Events Follow-up Time Period

All-cause hospitalization events were hospital admissions recorded on the hospitalization electronic case report form (eCRF) form with a hospitalization duration >=24 hours. Time to first occurrence of all-cause hospitalization was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) + 1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat41.13
Darbepoetin Alfa38.99

Time to First Occurrence of Chronic Dialysis During CV Events Follow-up Time Period

Time to first occurrence of chronic dialysis was analyzed using a Fine & Gray's proportional subdistribution hazard regression model with treatment group, Baseline ESA use and region as covariates. Chronic dialysis is defined by either initiating dialysis for >=90 days or not initiating chronic dialysis when dialysis is indicated. Time to the first occurrence was computed as (event date minus randomization date)+1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat12.20
Darbepoetin Alfa12.06

Time to First Occurrence of Chronic Kidney Disease (CKD) Progression During CV Events Follow-up Time Period

Progression of CKD defined as: 40% decline in estimated glomerular filtration rate (eGFR) from Baseline or end stage renal disease (ESRD) as defined by either initiating chronic dialysis for >=90 days or not initiating chronic dialysis when dialysis is indicated or kidney transplantation. Time to first occurrence of CKD progression was analyzed using Fine and Gray's proportional subdistribution hazard regression model with treatment group, Baseline ESA use and region as covariates. Time to the first occurrence was computed as (event date minus randomization date) +1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event+cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat17.55
Darbepoetin Alfa17.76

Time to First Occurrence of Confirmed 40% Decline in eGFR During CV Events Follow-up Time Period

Time to first occurrence of confirmed 40% decline in eGFR was analyzed using a Fine & Gray's proportional subdistribution hazard regression model with treatment group, Baseline ESA use and region as covariates. Time to the first occurrence was computed as (event date minus randomization date)+1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat8.21
Darbepoetin Alfa8.90

Time to First Occurrence of Kidney Transplant During CV Events Follow-up Time Period

Time to first occurrence of kidney transplant were analyzed using a Fine & Gray's proportional subdistribution hazard regression model with treatment group, Baseline ESA use and region as covariates. Time to the first occurrence was computed as (event date minus randomization date)+1. The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI. First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25, based on the CV follow-up time period. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

InterventionEvents per 100 person years (Number)
Daprodustat1.00
Darbepoetin Alfa1.14

Change From Baseline in On-treatment Chronic Kidney Disease- Anemia Symptoms Questionnaire (CKD-AQ) at Weeks 8, 12, 28, 52

CKD-AQ is 21-item patient reported outcome measure assessing symptoms and symptom impact in participants with anemia associated with CKD. It had 3 domains: 1.Tired/Low Energy (LE)/Weak scale consisting of 10 items; 2.Chest Pain (CP)/Shortness of Breath (SOB) scale consisting of 4 items; and 3.Cognitive (Cog) scale consisting of 3 items. The 4 CKD-AQ single items are: shortness of breath, no activity; severity-short breath (S-SB), resting; difficulty standing (diff. std.)for long time (LT) and difficulty sleeping (diff sleep). Single-item were recorded based on a 0-100 scoring with 0=worst possible and 100=best possible score. Three domains scores were calculated as average of items in each domain and ranged from 0-100 where 0=worst possible and 100=best possible score. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02876835)
Timeframe: Baseline (Day 1) and Weeks 8, 12, 28, 52

,
InterventionScores on a scale (Least Squares Mean)
Tired/Low energy/Weak domain: Week 8,n=1340,1294Tired/Low energy/Weak domain: Week 12,n=1341,1360Tired/Low energy/Weak domain: Week 28,n=1053,1047Tired/Low energy/Weak domain: Week 52,n=870,865Chest pain/SOB domain: Week 8,n=1340,1294Chest pain/ SOB domain: Week 12,n=1341,1360Chest pain/ SOB domain: Week 28,n=1053,1047Chest pain/ SOB domain: Week 52,n=870,865Cognitive domain: Week 8,n=1340,1294Cognitive domain: Week 12,n=1341,1360Cognitive domain: Week 28,n=1053,1047Cognitive domain: Week 52,n=870,865SOB, no activity: Week 8,n=1340,1294SOB, no activity: Week 12,n=1341,1360SOB, no activity: Week 28,n=1053,1047SOB, no activity: Week 52,n=870,865Severity-short breath, Resting: Week 8,n=1340,1294Severity-short breath, Resting:Week 12,n=1341,1360Severity-short breath, Resting:Week 28,n=1053,1047Severity-short breath, Resting:Week 52,n=870,865Diff std for long time: Week 8,n=1340,1294Diff std for long time: Week 12,n=1341,1360Diff std for long time: Week 28,n=1053,1047Diff std for long time: Week 52,n=870,865Difficulty sleeping: Week 8,n=1340,1294Difficulty sleeping: Week 12,n=1341,1360Difficulty sleeping: Week 28,n=1053,1047Difficulty sleeping: Week 52,n=870,865
Daprodustat1.722.111.270.200.630.880.01-0.710.13-0.17-0.40-2.00-0.10.1-1.1-1.7-0.3-0.3-1.1-2.01.00.70.4-2.11.60.5-0.7-2.6
Darbepoetin Alfa2.943.081.871.771.831.530.530.470.891.010.37-0.351.00.4-0.2-1.60.80.0-0.7-0.52.51.61.71.21.12.0-0.3-0.3

Change From Baseline in On-treatment Mental Component Score (MCS) Using SF-36 HRQoL Questionnaire at Weeks 8, 12, 28, 52

The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: physical functioning, role-physical (role limitations caused by physical problems), social functioning, bodily pain, mental health, role-emotional (role limitations caused by emotional problems), vitality and general health. Each domain is scored from 0 (poorer health) to 100 (better health). MCS is an average score derived from 4 domains (vitality, social functioning, role-emotional and mental health) representing overall mental health. MCS ranges from 0 to 100; higher scores represent better health. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02876835)
Timeframe: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52

,
InterventionScores on a scale (Least Squares Mean)
Week 8, n=1238,1187Week 12, n=1237,1227Week 28, n=968,956Week 52, n=804,780
Daprodustat0.080.02-0.35-0.71
Darbepoetin Alfa0.370.18-0.02-0.35

Change From Baseline in On-treatment Patient Global Impression of Severity (PGI-S) at Weeks 8, 12, 28, 52

The PGI-S is a 1-item questionnaire designed to assess participant's impression of disease severity on a 5-point disease severity scale (0=absent, 1=mild, 2=moderate, 3=severe, or 4=very severe). A higher score indicated more disease severity. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02876835)
Timeframe: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52

,
InterventionScores on a scale (Least Squares Mean)
Week 8, n=1341,1295Week 12, n=1341,1362Week 28, n=1054,1051Week 52, n=871,865
Daprodustat0.000.030.050.11
Darbepoetin Alfa-0.02-0.020.090.06

Change From Baseline in On-treatment Physical Component Score (PCS) Using Short Form (SF)-36 Health-related Quality of Life (HRQoL) Questionnaire at Weeks 8, 12, 28, 52

The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: physical functioning, role-physical (role limitations caused by physical problems), social functioning, bodily pain, mental health, role-emotional (role limitations caused by emotional problems), vitality and general health. Each domain is scored from 0 (poorer health) to 100 (better health). The PCS is an average score derived from 4 domains (physical functioning, role-physical, bodily pain and general health) representing overall physical health. PCS ranges from 0 to 100; higher score represents better health. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02876835)
Timeframe: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52

,
InterventionScores on a scale (Least Squares Mean)
Week 8, n=1238,1187Week 12, n=1237,1227Week 28, n=968,956Week 52, n=804,780
Daprodustat0.420.600.16-0.32
Darbepoetin Alfa0.780.710.04-0.12

Change From Baseline in On-treatment Physical Functioning Domain Scores Using SF-36 HRQoL Questionnaire at Weeks 8, 12, 28, 52

The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: physical functioning, role-physical (role limitations caused by physical problems), social functioning, bodily pain, mental health, role-emotional (role limitations caused by emotional problems), vitality and general health. Each domain is scored from 0 (poorer health) to 100 (better health). Physical functioning score ranges from 0 to 100; higher scores represent better health. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02876835)
Timeframe: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52

,
InterventionScores on a scale (Least Squares Mean)
Week 8, n=1238,1187Week 12, n=1237,1227Week 28, n=968,956Week 52, n=804,780
Daprodustat0.510.650.05-0.69
Darbepoetin Alfa0.830.52-0.10-0.37

Change From Baseline in On-treatment SF-36 HRQoL Scores for Bodily Pain, General Health, Mental Health, Role-Emotional, Role-Physical, Social Functioning at Weeks 8, 12, 28, 52

The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: bodily pain (b pain), general health (GH), mental health (MH), role-emotional (RE) (role limitations caused by emotional problems), role-physical (RP) (role limitations caused by physical problems), social functioning (SF), physical functioning and vitality. Each domain is scored from 0 (poorer health) to 100 (better health). Each domain score ranges from 0 to 100, higher score indicates a better health state and better functioning. Change from Baseline (BL) was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02876835)
Timeframe: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52

,
InterventionScores on a scale (Least Squares Mean)
Bodily pain: Week 8, n=1238,1187Bodily pain: Week 12, n=1237,1227Bodily pain: Week 28, n=968,956Bodily pain: Week 52, n=804,780General health: Week 8, n=1238,1187General health: Week 12, n=1237,1227General health: Week 28, n=968,956General health: Week 52, n=804,780Mental health: Week 8, n=1238,1187Mental health: Week 12, n=1237,1227Mental health: Week 28, n=968,956Mental health: Week 52, n=804,780Role-emotional: Week 8, n=1238,1187Role-emotional: Week 12, n=1237,1227Role-emotional: Week 28, n=968,956Role-emotional: Week 52, n=804,780Role-physical: Week 8, n=1238,1187Role-physical: Week 12, n=1237,1227Role-physical: Week 28, n=968,956Role-physical: Week 52, n=804,780Social functioning: Week 8, n=1238,1187Social functioning: Week 12, n=1237,1227Social functioning: Week 28, n=968,956Social functioning: Week 52, n=804,780
Daprodustat0.110.35-0.48-0.340.360.280.14-0.27-0.19-0.07-0.67-0.850.450.17-0.30-0.900.330.400.06-0.630.190.210.04-0.58
Darbepoetin Alfa0.450.500.020.130.430.480.04-0.190.12-0.09-0.37-0.610.540.430.07-0.380.830.730.00-0.440.820.530.17-0.20

Change From Baseline in On-treatment Vitality Scores Using SF-36 HRQoL Questionnaire at Weeks 8, 12, 28, 52

The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: physical functioning, role-physical (role limitations caused by physical problems), social functioning, bodily pain, mental health, role-emotional (role limitations caused by emotional problems), vitality and general health. Each domain is scored from 0 (poorer health) to 100 (better health). Vitality score ranges from 0 to 100; higher scores represent better health. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. (NCT02876835)
Timeframe: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52

,
InterventionScores on a scale (Least Squares Mean)
Week 8, n=1238,1187Week 12, n=1237,1227Week 28, n=968,956Week 52, n=804,780
Daprodustat0.350.620.22-0.14
Darbepoetin Alfa0.900.740.320.35

Change From Baseline in SBP, DBP, MAP at End of Treatment

SBP, DBP and MAP were measured in a seated position after at least a 5-minutes of rest. MAP is an average BP in an individual's arteries during a single cardiac cycle. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. Analysis was performed using ANCOVA model with terms for treatment group, current ESA use at randomization, region and Baseline value. Data for post-dialysis BP measurements have been presented. (NCT02876835)
Timeframe: Baseline (Week -4) and 51.1 months

,
InterventionMillimeter of mercury (Least Squares Mean)
SBP, n=1919, 1884DBP, n=1918, 1884MAP, n=1918, 1884
Daprodustat-1.19-0.26-0.57
Darbepoetin Alfa-1.10-0.38-0.62

Change From Baseline in Systolic Blood Pressure (SBP), Diastolic Blood Pressure (DBP) and Mean Arterial Blood Pressure (MAP) at Week 52

SBP, DBP and MAP were measured in a seated position after at least a 5-minutes of rest. MAP is the average (BP) in an individual's arteries during a single cardiac cycle. Change from Baseline was calculated as on-treatment visit value minus Baseline value. Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date. Analysis was performed using MMRM model with treatment group + time + current ESA use at randomization + region + Baseline value + Baseline value*time + treatment group*time, using an unstructured covariance matrix. Data for post-dialysis BP measurements have been presented. (NCT02876835)
Timeframe: Baseline (Week -4) and Week 52

,
InterventionMillimeter of mercury (Least Squares Mean)
SBP, n=1913, 1884DBP, n=1912, 1884MAP, n=1912, 1884
Daprodustat-0.620.06-0.17
Darbepoetin Alfa-1.17-0.59-0.77

Number of Participants With Adjudicated MACE or Hospitalization for Heart Failure (Recurrent Events Analysis)

Number of participants with adjudicated MACE or hospitalization for heart failure (recurrent events analysis) is presented, categorized by number of occurrences of adjudicated MACE or hospitalization for heart failure per participant. (NCT02876835)
Timeframe: Up to 4.3 person-years for CV follow-up time period

,
InterventionParticipants (Count of Participants)
Occurrences per participant: 0Occurrences per participant: 1Occurrences per participant: 2Occurrences per participant: 3Occurrences per participant: 4Occurrences per participant: 5Occurrences per participant: 6Occurrences per participant: 7Occurrences per participant: 8
Daprodustat14933187626145140
Darbepoetin Alfa1518317642293011

Reviews

6 reviews available for glycine and Stroke

ArticleYear
Oral direct thrombin inhibitors in clinical development.
    Journal of internal medicine, 2003, Volume: 254, Issue:4

    Topics: Anticoagulants; Azetidines; Benzimidazoles; Benzylamines; Dabigatran; Glycine; Hemostasis; Humans; P

2003
The therapeutic potential of ximelagatran to become the anticoagulant of choice in medicine: a review of recently completed clinical trials.
    Expert opinion on pharmacotherapy, 2004, Volume: 5, Issue:6

    Topics: Anticoagulants; Atrial Fibrillation; Azetidines; Benzylamines; Clinical Trials as Topic; Coronary Ar

2004
Orally active direct thrombin inhibitors.
    Seminars in vascular medicine, 2003, Volume: 3, Issue:2

    Topics: Administration, Oral; Anticoagulants; Atrial Fibrillation; Azetidines; Benzylamines; Blood Coagulati

2003
The direct thrombin inhibitor melagatran/ximelagatran.
    The Medical journal of Australia, 2004, Oct-18, Volume: 181, Issue:8

    Topics: Anticoagulants; Azetidines; Benzylamines; Blood Coagulation; Glycine; Humans; Myocardial Infarction;

2004
Ximelagatran--a promising new drug in thromboembolic disorders.
    Current pharmaceutical design, 2005, Volume: 11, Issue:4

    Topics: Administration, Oral; Anticoagulants; Azetidines; Benzylamines; Glycine; Humans; Prodrugs; Randomize

2005
Anticoagulation: the present and future.
    Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis, 2001, Volume: 7, Issue:3

    Topics: Administration, Oral; Amino Acid Chloromethyl Ketones; Anticoagulants; Arginine; Azetidines; Benzyla

2001

Trials

10 trials available for glycine and Stroke

ArticleYear
Daprodustat for the Treatment of Anemia in Patients Undergoing Dialysis.
    The New England journal of medicine, 2021, 12-16, Volume: 385, Issue:25

    Topics: Aged; Anemia; Barbiturates; Cardiovascular Diseases; Darbepoetin alfa; Epoetin Alfa; Female; Glycine

2021
Daprodustat for the Treatment of Anemia in Patients Not Undergoing Dialysis.
    The New England journal of medicine, 2021, 12-16, Volume: 385, Issue:25

    Topics: Aged; Anemia; Barbiturates; Cardiovascular Diseases; Darbepoetin alfa; Female; Glycine; Hematinics;

2021
Plasma Amino Acid Neurotransmitters and Ischemic Stroke Prognosis: A Multicenter Prospective Study.
    The American journal of clinical nutrition, 2023, Volume: 118, Issue:4

    Topics: Aspartic Acid; Biomarkers; Brain Ischemia; Cohort Studies; gamma-Aminobutyric Acid; Glutamic Acid; G

2023
Comparison of outcomes after intracerebral hemorrhage and ischemic stroke.
    Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2010, Volume: 19, Issue:3

    Topics: Acute Disease; Aged; Brain Ischemia; Cerebral Hemorrhage; Cohort Studies; Disability Evaluation; Dou

2010
Stroke Impact Scale-16: A brief assessment of physical function.
    Neurology, 2003, Jan-28, Volume: 60, Issue:2

    Topics: Aged; Canada; Demography; Double-Blind Method; Female; Glycine; Glycine Agents; Health Status Indica

2003
Health care resource use after acute stroke in the Glycine Antagonist in Neuroprotection (GAIN) Americas trial.
    Stroke, 2004, Volume: 35, Issue:6

    Topics: Acute Disease; Aftercare; Aged; Canada; Female; Glycine; Glycine Agents; Health Resources; Humans; I

2004
Poststroke neurological improvement within 7 days is associated with subsequent deterioration.
    Stroke, 2004, Volume: 35, Issue:9

    Topics: Aged; Aged, 80 and over; Brain Damage, Chronic; Brain Edema; Brain Ischemia; Cohort Studies; Double-

2004
The prediction of malignant cerebral infarction by molecular brain barrier disruption markers.
    Stroke, 2005, Volume: 36, Issue:9

    Topics: Aged; Biomarkers; Blood-Brain Barrier; Brain; Case-Control Studies; Edema; Female; Fibronectins; gam

2005
Glycine antagonist (GV150526) in acute stroke: a multicentre, double-blind placebo-controlled phase II trial.
    Cerebrovascular diseases (Basel, Switzerland), 2001, Volume: 11, Issue:1

    Topics: Aged; Bilirubin; Double-Blind Method; Drug Administration Schedule; Glycine; Glycine Agents; Humans;

2001
Glycine antagonist in neuroprotection for patients with acute stroke: GAIN Americas: a randomized controlled trial.
    JAMA, 2001, Apr-04, Volume: 285, Issue:13

    Topics: Aged; Brain; Double-Blind Method; Female; Glycine; Glycine Agents; Humans; Indoles; Male; Severity o

2001

Other Studies

34 other studies available for glycine and Stroke

ArticleYear
Transplantation of Roxadustat-preconditioned bone marrow stromal cells improves neurological function recovery through enhancing grafted cell survival in ischemic stroke rats.
    CNS neuroscience & therapeutics, 2022, Volume: 28, Issue:10

    Topics: Animals; Bone Marrow Cells; Bone Marrow Transplantation; Brain Ischemia; Cell Survival; Glycine; Inf

2022
Associations of plasma carnitine, lysine, trimethyllysine and glycine with incident ischemic stroke: Findings from a nested case-control study.
    Clinical nutrition (Edinburgh, Scotland), 2022, Volume: 41, Issue:9

    Topics: Carnitine; Case-Control Studies; Fabaceae; Glycine; Humans; Ischemic Stroke; Lysine; Stroke; Tandem

2022
Accurately quantified plasma free glycine concentration as a biomarker in patients with acute ischemic stroke.
    Amino acids, 2023, Volume: 55, Issue:3

    Topics: Biomarkers; Diffusion Magnetic Resonance Imaging; Glycine; Humans; Infarction; Ischemic Stroke; Stro

2023
Interactions between neutrophil extracellular traps and activated platelets enhance procoagulant activity in acute stroke patients with ICA occlusion.
    EBioMedicine, 2020, Volume: 53

    Topics: Adolescent; Adult; Aged; Aged, 80 and over; Blood Coagulation; Blood Platelets; Carotid Artery Throm

2020
Homoarginine- and Creatine-Dependent Gene Regulation in Murine Brains with l-Arginine:Glycine Amidinotransferase Deficiency.
    International journal of molecular sciences, 2020, Mar-09, Volume: 21, Issue:5

    Topics: Amidinotransferases; Amino Acid Metabolism, Inborn Errors; Animals; Arginine; Brain; Creatine; Devel

2020
Association Between Kidney Clearance of Secretory Solutes and Cardiovascular Events: The Chronic Renal Insufficiency Cohort (CRIC) Study.
    American journal of kidney diseases : the official journal of the National Kidney Foundation, 2021, Volume: 78, Issue:2

    Topics: Aged; Albuminuria; Chromatography, Liquid; Cohort Studies; Cresols; Female; Glomerular Filtration Ra

2021
The prolyl 4-hydroxylase inhibitor GSK360A decreases post-stroke brain injury and sensory, motor, and cognitive behavioral deficits.
    PloS one, 2017, Volume: 12, Issue:9

    Topics: Administration, Oral; Animals; Behavior, Animal; Brain; Brain Injuries; Cognition Disorders; Erythro

2017
Glycine Exhibits Neuroprotective Effects in Ischemic Stroke in Rats through the Inhibition of M1 Microglial Polarization via the NF-κB p65/Hif-1α Signaling Pathway.
    Journal of immunology (Baltimore, Md. : 1950), 2019, 03-15, Volume: 202, Issue:6

    Topics: Animals; Brain; Brain Ischemia; Female; Glycine; Hypoxia-Inducible Factor 1, alpha Subunit; Male; Mi

2019
Plasma cyclic glycine proline/IGF-1 ratio predicts clinical outcome and recovery in stroke patients.
    Annals of clinical and translational neurology, 2019, Volume: 6, Issue:4

    Topics: Adolescent; Adult; Aged; Aged, 80 and over; Brain Ischemia; Female; Glycine; Humans; Insulin-Like Gr

2019
Critical role of the astrocyte for functional remodeling in contralateral hemisphere of somatosensory cortex after stroke.
    The Journal of neuroscience : the official journal of the Society for Neuroscience, 2013, Mar-13, Volume: 33, Issue:11

    Topics: Aminomethyltransferase; Analysis of Variance; Animals; Aspartic Acid; Astrocytes; Calcium; Disease M

2013
Dynamic metabolites profile of cerebral ischemia/reperfusion revealed by (1)H NMR-based metabolomics contributes to potential biomarkers.
    International journal of clinical and experimental pathology, 2014, Volume: 7, Issue:7

    Topics: Animals; Biomarkers; Brain Ischemia; Disease Models, Animal; Glycine; Magnetic Resonance Spectroscop

2014
Dietary intakes of glutamic acid and glycine are associated with stroke mortality in Japanese adults.
    The Journal of nutrition, 2015, Volume: 145, Issue:4

    Topics: Adult; Aged; Aged, 80 and over; Asian People; Body Mass Index; Diet; Endpoint Determination; Female;

2015
Simultaneous stable-isotope dilution GC-MS measurement of homoarginine, guanidinoacetate and their common precursor arginine in plasma and their interrelationships in healthy and diseased humans.
    Amino acids, 2016, Volume: 48, Issue:3

    Topics: Adult; Aged; Arginine; Deuterium; Female; Gas Chromatography-Mass Spectrometry; Glycine; Healthy Vol

2016
Association between Endothelial nitric oxide synthase G894T gene polymorphism and risk of ischemic stroke in North Indian population: a case-control study.
    Neurological research, 2016, Volume: 38, Issue:7

    Topics: Adult; Aged; Brain Ischemia; Case-Control Studies; Female; Genetic Association Studies; Genetic Pred

2016
Localized cerebral energy failure in DNA polymerase gamma-associated encephalopathy syndromes.
    Brain : a journal of neurology, 2010, Volume: 133, Issue:Pt 5

    Topics: Arginine; Brain; Brain Diseases; Cerebellum; Cysteine; Diffuse Cerebral Sclerosis of Schilder; Diffu

2010
[Study of the Toll-like receptor 4 gene polymorphisms in diseases presenting with subclinical and chronic inflammation].
    Orvosi hetilap, 2011, Nov-13, Volume: 152, Issue:46

    Topics: Alleles; Aspartic Acid; Brain Ischemia; Chronic Disease; Cytokines; Diabetes Complications; Diabetic

2011
Associations of ESR2 AluI (G/A) polymorphism with ischemic stroke in Caucasians.
    Journal of the neurological sciences, 2012, May-15, Volume: 316, Issue:1-2

    Topics: Aged; Aged, 80 and over; Alanine; Alu Elements; Brain Ischemia; Estrogen Receptor beta; Female; Gene

2012
A8344G mutation of the mitochondrial DNA with typical mitochondrial encephalomyopathy with lactic acidosis and stroke-like episodes syndrome.
    Ideggyogyaszati szemle, 2011, Nov-30, Volume: 64, Issue:11-12

    Topics: Acidosis, Lactic; Adult; Alanine; Brain Ischemia; DNA, Mitochondrial; Glycine; Humans; Male; MELAS S

2011
Mechanism underlying the protective effect of glycine in energetic disturbances in brain tissues under hypoxic conditions.
    Bulletin of experimental biology and medicine, 2012, Volume: 153, Issue:1

    Topics: Animals; Brain; Brain Ischemia; Glycine; Hypoxia, Brain; In Vitro Techniques; Mitochondria; Rats; Re

2012
NMDA receptor antagonists and glycine site NMDA antagonists.
    Current medical research and opinion, 2002, Volume: 18 Suppl 2

    Topics: Animals; Clinical Trials as Topic; Drug Evaluation, Preclinical; Excitatory Amino Acid Antagonists;

2002
[New anticoagulants -- their clinical significance].
    Therapeutische Umschau. Revue therapeutique, 2003, Volume: 60, Issue:1

    Topics: Administration, Oral; Anticoagulants; Azetidines; Benzylamines; Biological Availability; Clinical Tr

2003
Extracellular glutamate and other amino acids in experimental intracerebral hemorrhage: an in vivo microdialysis study.
    Critical care medicine, 2003, Volume: 31, Issue:5

    Topics: Analysis of Variance; Animals; Asparagine; Aspartic Acid; Brain Ischemia; Cerebral Hemorrhage; Chrom

2003
[Significance of Factor V gene A506G mutation (Leiden) in the pathogenesis of ischemic stroke].
    Ideggyogyaszati szemle, 2003, May-20, Volume: 56, Issue:5-6

    Topics: Adult; Age of Onset; Alanine; Brain Ischemia; DNA Mutational Analysis; Factor V; Female; Genetic Pre

2003
Targeting ischemic stroke with a novel opener of ATP-sensitive potassium channels in the brain.
    Molecular pharmacology, 2004, Volume: 66, Issue:5

    Topics: Animals; Brain; Brain Ischemia; Cells, Cultured; Disease Models, Animal; Electrophysiology; Gerbilli

2004
Toll-like receptor 4 Asp299Gly gene polymorphism and risk of atherothrombosis.
    Stroke, 2005, Volume: 36, Issue:1

    Topics: Amino Acid Substitution; Aspartic Acid; Case-Control Studies; Genetic Predisposition to Disease; Gly

2005
Improving trial power through use of prognosis-adjusted end points.
    Stroke, 2005, Volume: 36, Issue:3

    Topics: Age Factors; Clinical Trials as Topic; Comorbidity; Computer Simulation; Glycine; Humans; Models, St

2005
CoMFA, synthesis, and pharmacological evaluation of (E)-3-(2-carboxy-2-arylvinyl)-4,6-dichloro-1H-indole-2-carboxylic acids: 3-[2-(3-aminophenyl)-2-carboxyvinyl]-4,6-dichloro-1H-indole-2-carboxylic acid, a potent selective glycine-site NMDA receptor antag
    Journal of medicinal chemistry, 2005, Feb-24, Volume: 48, Issue:4

    Topics: Animals; Anticonvulsants; Binding Sites; Carboxylic Acids; Cyclic GMP; Glycine; In Vitro Techniques;

2005
Isolated 3-methylcrotonyl-coenzyme A carboxylase deficiency in a child with metabolic stroke.
    Journal of inherited metabolic disease, 2006, Volume: 29, Issue:1

    Topics: Amino Acid Metabolism, Inborn Errors; Carbon-Carbon Ligases; Child, Preschool; Glycine; Humans; Male

2006
COL4A1 mutation in Axenfeld-Rieger anomaly with leukoencephalopathy and stroke.
    Annals of neurology, 2007, Volume: 62, Issue:2

    Topics: Adult; Anterior Eye Segment; Aspartic Acid; Autoantigens; Brain Diseases; Child; Collagen Type IV; E

2007
A bumpy road to breakthroughs. The news: it's hard to beat today's cardiac treatments.
    Heart advisor, 2006, Volume: 9, Issue:2

    Topics: Animals; Atherosclerosis; Coronary Thrombosis; Diabetes Mellitus, Type 2; Ethics, Clinical; Glycine;

2006
Human hepatic metabolism of a novel 2-carboxyindole glycine antagonist for stroke: in vitro-in vivo correlations.
    Xenobiotica; the fate of foreign compounds in biological systems, 2000, Volume: 30, Issue:9

    Topics: Adult; Aged; Chromatography, High Pressure Liquid; Cytochrome P-450 Enzyme System; Female; Glucuroni

2000
Neuroprotection in acute ischemic stroke.
    JAMA, 2001, Apr-04, Volume: 285, Issue:13

    Topics: Brain; Glycine; Glycine Agents; Humans; Indoles; Stroke

2001
Synthesis and pharmacological characterisation of a conformationally restrained series of indole-2-carboxylates as in vivo potent glycine antagonists.
    Farmaco (Societa chimica italiana : 1989), 2001, Volume: 56, Issue:10

    Topics: Animals; Binding Sites; Glycine; Indoles; Male; Mice; Neuroprotective Agents; Rats; Rats, Sprague-Da

2001
Multiple panel of biomarkers for TIA/stroke evaluation.
    Stroke, 2002, Volume: 33, Issue:5

    Topics: Adult; Antibodies, Anticardiolipin; Antibodies, Antiphospholipid; Autoantibodies; Biomarkers; Diagno

2002