urea has been researched along with 2019 Novel Coronavirus Disease in 34 studies
pseudourea: clinical use; structure
isourea : A carboximidic acid that is the imidic acid tautomer of urea, H2NC(=NH)OH, and its hydrocarbyl derivatives.
| Excerpt | Relevance | Reference |
|---|---|---|
| "The risk of a fatal stroke in a univariate analysis was established in the presence of a general severe condition of the patient and a number of other factors, which included the severity of COVID-19, acute coronary syndrome, multiple organ failure, the need for a ventilator, a history of kidney disease, pneumonia, high NIHSS score, oxygen partial pressure level, respiratory rate, number of hospitalizations, complete blood count (erythrocytes, hemoglobin, hematocrit, leukocytes, neutrophils), coagulogram, glucose, liver and kidney markers (bilirubin, aspartate aminotransferase, alanine aminotransferase, creatinine, urea), levels of creatine phosphokinase, lactate dehydrogenase and C-reactive protein." | 4.12 | [Predictors of unfavorable outcomes of ischemic stroke associated with COVID-19]. ( Latypova, RF; Novikova, LB, 2022) |
| "Among the 350 COVID-19 patients studied, there was a significant increase in the WBC count, neutrophils, aggregate index of systemic inflammation (AISI), neutrophil-to-lymphocyte ratio (dNLR), neutrophil-to-lymphocyte and platelet ratio (NLPR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), D-dimer, interleukin-6 (IL-6), ferritin, lactate dehydrogenase (LDH), prothrombin time (PT), glucose, urea, urea nitrogen, creatinine, alanine phosphatase (ALP), and aspartate aminotransferase (AST) and a significant decrease in lymphocytes, eosinophils, total protein, albumin, prealbumin serum, and albumin/globulin (A/G) ratio in the severe group when compared with the mild and moderate groups." | 4.12 | Diagnostic Values of Laboratory Biomarkers in Predicting a Severe Course of COVID-19 on Hospital Admission. ( Balakrishna, N; Koyyada, R; Manda, SV; Narreddy, S; Patnam, S; Ramesh, V; Satish Kumar, M; Singh, AD; Tummala, A; Varahala, S, 2022) |
| "Lithium, a mood stabilizer used in the treatment of bipolar disorder is known for its anti-inflammatory properties with the discussion of its potential use in COVID-19 infection." | 1.72 | Lithium toxicity at therapeutic doses as a fallout of COVID-19 infection: a case series and possible mechanisms. ( Desai, G; Ganjekar, S; Malyam, V; Moirangthem, S; Murugesan, M; Pai, NM, 2022) |
| "In pandemic COVID-19 (coronavirus disease 2019), the prognosis of patients has been determined using clinical data and CT (computed tomography) scans, but it is still unclear whether chest CT characteristics are correlated to COVID-19 severity." | 1.72 | Clinical and chest computed tomography features of patients suffering from mild and severe COVID-19 at Fayoum University Hospital in Egypt. ( Ahmed, MI; Doghish, AS; Elkhatib, WF; Ismail, A; Khalil, MAF; Magdy, AM; Mahmoud, EE, 2022) |
| "Although most coronavirus disease 2019 (COVID-19) infections are mild, some patients have severe clinical conditions requiring hospitalization." | 1.72 | Clinical characteristics and laboratory parameters associated with the risk of severe COVID-19 in patients from two hospitals in Northeast Brazil. ( Andrade, CC; Andrade, LV; Araújo, SLM; Armstrong, ADC; Carmo, RFD; Feitosa, TA; Lopes, KER; Pereira, VC; Sá, MVS; Silva, ATP; Souza, CDF, 2022) |
| "Dehydration was assessed through estimated osmolality (eOSM = 2Na + 2 K + glucose + urea), and correlated to important endpoints including death, invasive mechanical ventilation, acute kidney injury, and long COVID-19 symptom score grouped by physical or mental." | 1.72 | Dehydration is associated with production of organic osmolytes and predicts physical long-term symptoms after COVID-19: a multicenter cohort study. ( Butler-Laporte, G; Chen, Y; Farjoun, Y; Forgetta, V; Frithiof, R; Hultström, M; Larsson, A; Larsson, IM; Lipcsey, M; Marton, A; Morrison, DR; Nakanishi, T; Nihlén, S; Richards, JB; Titze, JM; Wallin, E; Yoshiji, S, 2022) |
| "The objective is to investigate coronavirus disease 2019 (COVID-19)-associated neurological and psychiatric effects and explore possible pathogenic mechanisms." | 1.72 | Neurological and psychiatric presentations associated with COVID-19. ( He, X; Hu, X; Pan, K; Yu, H; Zhang, D; Zhang, G; Zhang, L; Zheng, X, 2022) |
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 0 (0.00) | 29.6817 |
| 2010's | 0 (0.00) | 24.3611 |
| 2020's | 34 (100.00) | 2.80 |
| Authors | Studies |
|---|---|
| Pai, NM | 1 |
| Malyam, V | 1 |
| Murugesan, M | 1 |
| Ganjekar, S | 1 |
| Moirangthem, S | 1 |
| Desai, G | 1 |
| Kaviani, A | 1 |
| Khansari Nejad, N | 1 |
| Akour, A | 1 |
| AlMuhaissen, SA | 1 |
| Nusair, MB | 1 |
| Al-Tammemi, AB | 1 |
| Mahmoud, NN | 1 |
| Jalouqa, S | 1 |
| Alrawashdeh, MN | 1 |
| Shanahan, JP | 1 |
| Moore, CM | 1 |
| Kampf, JW | 1 |
| Szymczak, NK | 1 |
| Guo, J | 2 |
| Wang, H | 3 |
| Luo, Y | 1 |
| An, H | 1 |
| Zhang, Z | 2 |
| Liu, G | 1 |
| Li, J | 8 |
| Metcalfe, GD | 1 |
| Smith, TW | 1 |
| Hippler, M | 1 |
| Ayala Izurieta, JE | 1 |
| Márquez, CO | 1 |
| García, VJ | 1 |
| Jara Santillán, CA | 1 |
| Sisti, JM | 1 |
| Pasqualotto, N | 1 |
| Van Wittenberghe, S | 1 |
| Delegido, J | 1 |
| Kubo, Y | 1 |
| Kitagawa, Y | 1 |
| Miyazaki, T | 1 |
| Sohda, M | 1 |
| Yamaji, T | 1 |
| Sakai, M | 1 |
| Saeki, H | 1 |
| Nemoto, K | 1 |
| Oyama, T | 2 |
| Muto, M | 1 |
| Takeuchi, H | 1 |
| Toh, Y | 1 |
| Matsubara, H | 1 |
| Mano, M | 1 |
| Kono, K | 1 |
| Kato, K | 1 |
| Yoshida, M | 1 |
| Kawakubo, H | 1 |
| Booka, E | 1 |
| Yamatsuji, T | 1 |
| Kato, H | 1 |
| Ito, Y | 1 |
| Ishikawa, H | 1 |
| Ishihara, R | 1 |
| Tsushima, T | 1 |
| Kawachi, H | 1 |
| Kojima, T | 1 |
| Kuribayashi, S | 1 |
| Makino, T | 1 |
| Matsuda, S | 1 |
| Doki, Y | 1 |
| Ma, P | 1 |
| Tang, X | 2 |
| Zhang, L | 6 |
| Wang, X | 6 |
| Wang, W | 2 |
| Zhang, X | 5 |
| Wang, S | 5 |
| Zhou, N | 1 |
| Dodd, J | 1 |
| Jordan, R | 1 |
| Makhlina, M | 1 |
| Pesco Koplowitz, L | 1 |
| Koplowitz, B | 1 |
| Barnett, K | 1 |
| Yang, WH | 1 |
| Spana, C | 1 |
| Buchanan, SW | 1 |
| Mafa-Attoye, T | 1 |
| Dunfield, K | 1 |
| Thevathasan, NV | 1 |
| Isaac, ME | 1 |
| Wu, X | 3 |
| Huang, JW | 1 |
| Su, BK | 1 |
| Yuan, L | 1 |
| Zheng, WQ | 1 |
| Zhang, H | 3 |
| Zheng, YX | 1 |
| Zhu, W | 1 |
| Chou, PT | 1 |
| Manso, AP | 1 |
| De Morais, DC | 1 |
| Yamamoto, K | 1 |
| Owen, G | 1 |
| de Carvalho, RM | 1 |
| Palma-Dibb, RG | 1 |
| Brown, JC | 1 |
| Yang, S | 2 |
| Mire, EF | 1 |
| Miele, L | 1 |
| Ochoa, A | 1 |
| Zabaleta, J | 1 |
| Katzmarzyk, PT | 1 |
| Moi, CT | 1 |
| Bhowmick, S | 1 |
| Qureshi, M | 1 |
| Wang, K | 1 |
| Feng, B | 1 |
| Yang, Y | 2 |
| Chen, Y | 5 |
| Wang, Y | 5 |
| Yang, L | 1 |
| Jiang, K | 1 |
| James, TD | 1 |
| Chaturvedi, V | 1 |
| Postiglione, WM | 1 |
| Chakraborty, RD | 1 |
| Yu, B | 1 |
| Tabiś, W | 1 |
| Hameed, S | 1 |
| Biniskos, N | 1 |
| Jacobson, A | 1 |
| Zhou, H | 1 |
| Greven, M | 1 |
| Ferry, VE | 1 |
| Leighton, C | 1 |
| Wu, F | 1 |
| Lei, H | 1 |
| Chen, G | 3 |
| Chen, C | 1 |
| Song, Y | 2 |
| Cao, Z | 1 |
| Zhang, C | 2 |
| Zhou, J | 1 |
| Lu, Y | 2 |
| Pappone, C | 1 |
| Santinelli, V | 1 |
| Mecarocci, V | 1 |
| Tondi, L | 1 |
| Ciconte, G | 1 |
| Manguso, F | 1 |
| Sturla, F | 1 |
| Vicedomini, G | 1 |
| Micaglio, E | 1 |
| Anastasia, L | 1 |
| Pica, S | 1 |
| Camporeale, A | 1 |
| Lombardi, M | 1 |
| Shieh, PB | 1 |
| Elfring, G | 1 |
| Trifillis, P | 1 |
| Santos, C | 1 |
| Peltz, SW | 1 |
| Parsons, JA | 1 |
| Apkon, S | 1 |
| Darras, BT | 1 |
| Campbell, C | 1 |
| McDonald, CM | 1 |
| Galaviz, KI | 1 |
| Shah, NS | 1 |
| Gutierrez, M | 1 |
| Collins, LF | 1 |
| Lahiri, CD | 1 |
| Moran, CA | 1 |
| Szabo, B | 1 |
| Sumitani, J | 1 |
| Rhodes, J | 1 |
| Marconi, VC | 1 |
| Nguyen, ML | 1 |
| Cantos, VD | 1 |
| Armstrong, WS | 1 |
| Colasanti, JA | 1 |
| Hussein, HJ | 1 |
| Ibrahim, SA | 1 |
| Al-Shaibani, SW | 1 |
| Abdulrudha, NH | 1 |
| Corapli, G | 1 |
| Çil, E | 1 |
| Tutak, AŞ | 1 |
| Corapli, M | 1 |
| Menéndez, R | 1 |
| Méndez, R | 1 |
| González-Jiménez, P | 1 |
| Zalacain, R | 1 |
| Ruiz, LA | 1 |
| Serrano, L | 1 |
| España, PP | 1 |
| Uranga, A | 1 |
| Cillóniz, C | 1 |
| Pérez-de-Llano, L | 1 |
| Golpe, R | 1 |
| Torres, A | 1 |
| Ismail, A | 1 |
| Doghish, AS | 1 |
| Elkhatib, WF | 1 |
| Magdy, AM | 1 |
| Mahmoud, EE | 1 |
| Ahmed, MI | 1 |
| Khalil, MAF | 1 |
| Mohammadi, M | 1 |
| Taheri, RA | 1 |
| Bemani, P | 1 |
| Hashemzadeh, MS | 1 |
| Farnoosh, G | 1 |
| Amini, R | 1 |
| Rodrigues, GU | 1 |
| Bueno Campos Canella, PR | 1 |
| de Cássia Dos Santos, R | 1 |
| Razolli, DS | 1 |
| Hamal, PK | 1 |
| Poudel, PR | 1 |
| Yadav, RK | 1 |
| Sigdel, R | 1 |
| Chapagai, B | 1 |
| Bhattarai, R | 1 |
| Bhandari, TR | 1 |
| Jha, PK | 1 |
| Yadav, S | 1 |
| Neupane, AP | 1 |
| Ghimire, S | 1 |
| Poudel, K | 1 |
| Dhungana, S | 1 |
| Pokharel, N | 1 |
| Dhakal, GR | 1 |
| Gyanwali, P | 1 |
| Novikova, LB | 1 |
| Latypova, RF | 1 |
| Araújo, SLM | 1 |
| Feitosa, TA | 1 |
| Pereira, VC | 1 |
| Andrade, CC | 1 |
| Silva, ATP | 1 |
| Andrade, LV | 1 |
| Lopes, KER | 1 |
| Sá, MVS | 1 |
| Souza, CDF | 1 |
| Armstrong, ADC | 1 |
| Carmo, RFD | 1 |
| Hultström, M | 1 |
| Lipcsey, M | 1 |
| Morrison, DR | 1 |
| Nakanishi, T | 1 |
| Butler-Laporte, G | 1 |
| Yoshiji, S | 1 |
| Forgetta, V | 1 |
| Farjoun, Y | 1 |
| Wallin, E | 1 |
| Larsson, IM | 1 |
| Larsson, A | 1 |
| Marton, A | 1 |
| Titze, JM | 1 |
| Nihlén, S | 1 |
| Richards, JB | 1 |
| Frithiof, R | 1 |
| Ray, S | 1 |
| Banerjee, A | 1 |
| Swift, A | 1 |
| Fanstone, JW | 1 |
| Mamalakis, M | 1 |
| Vorselaars, B | 1 |
| Wilkie, C | 1 |
| Cole, J | 1 |
| Mackenzie, LS | 1 |
| Weeks, S | 1 |
| Nakagama, Y | 1 |
| Candray, K | 1 |
| Kaku, N | 1 |
| Komase, Y | 1 |
| Rodriguez-Funes, MV | 1 |
| Dominguez, R | 1 |
| Tsuchida, T | 1 |
| Kunishima, H | 1 |
| Nagai, E | 1 |
| Adachi, E | 1 |
| Ngoyi, DM | 1 |
| Yamasue, M | 1 |
| Komiya, K | 1 |
| Hiramatsu, K | 1 |
| Uemura, N | 1 |
| Sugiura, Y | 1 |
| Yasugi, M | 1 |
| Yamagishi, Y | 1 |
| Mikamo, H | 1 |
| Shiraishi, S | 1 |
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| Nakagama, S | 1 |
| Watanabe, C | 1 |
| Nitahara, Y | 1 |
| Tshibangu-Kabamba, E | 1 |
| Kakeya, H | 1 |
| Kido, Y | 1 |
| Tummala, A | 1 |
| Ramesh, V | 1 |
| Balakrishna, N | 1 |
| Koyyada, R | 1 |
| Singh, AD | 1 |
| Patnam, S | 1 |
| Satish Kumar, M | 1 |
| Varahala, S | 1 |
| Manda, SV | 1 |
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| Siavoshi, F | 1 |
| Safavi-Naini, SAA | 1 |
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| Azizmohammad Looha, M | 1 |
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| Jalili Khoshnoud, R | 1 |
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| Pourhoseingholi, MA | 1 |
| Obaid Khazaal, M | 1 |
| Çanlı, M | 1 |
| Abdul Kareem Jabbar, E | 1 |
| Rodrigues, HCN | 1 |
| Silva, ML | 1 |
| Mantovani, MDS | 1 |
| Silva, JMD | 1 |
| Domingues, MFP | 1 |
| Tanni, SÉ | 1 |
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| Minicucci, MF | 1 |
| Buffarah, MNB | 1 |
| Pereira, AG | 1 |
| Costa, NA | 1 |
| Kutlusoy, S | 1 |
| Koca, E | 1 |
| Whiting, L | 1 |
| Bianchi, N | 1 |
| Faouzi, M | 1 |
| Schneider, A | 1 |
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| Mubasher, TA | 1 |
| Makkawi, MH | 1 |
| Alasmari, SZ | 1 |
| Kavsak, PA | 1 |
| de Wit, K | 1 |
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| Bettinardi, A | 1 |
| Borrelli, G | 1 |
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| Marino, A | 1 |
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| Saggini, S | 1 |
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| Lippi, G | 1 |
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| Zhou, S | 1 |
| Lv, W | 1 |
| Wang, T | 2 |
| Li, X | 11 |
| Nguépy Keubo, FR | 1 |
| Mboua, PC | 1 |
| Djifack Tadongfack, T | 1 |
| Fokouong Tchoffo, E | 1 |
| Tasson Tatang, C | 1 |
| Ide Zeuna, J | 1 |
| Noupoue, EM | 1 |
| Tsoplifack, CB | 1 |
| Folefack, GO | 1 |
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| Yu, D | 1 |
| Arulsamy, N | 1 |
| AlAbbad, S | 1 |
| Sardot, T | 1 |
| Lekashvili, O | 1 |
| Decato, D | 1 |
| Lelj, F | 1 |
| Alexander Ross, JB | 1 |
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| Chen, MA | 1 |
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| Huang, W | 1 |
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| Yang, QQ | 1 |
| Li, HW | 1 |
| Zhao, XQ | 1 |
| Hossein Rashidi, B | 1 |
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| Ghazimirsaeed, ST | 1 |
| Shahrokh Tehraninezhad, E | 1 |
| Keikha, F | 1 |
| Eslami, B | 1 |
| Ghazimirsaeed, SM | 1 |
| Jafarabadi, M | 1 |
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| Lee, DF | 1 |
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| Wen, L | 1 |
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| Xie, X | 1 |
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| Hu, W | 1 |
| Zhang, Y | 4 |
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| Trial | Phase | Enrollment | Study Type | Start Date | Status | ||
|---|---|---|---|---|---|---|---|
| Uppsala Intensive Care Study of Mechanisms for Organ Dysfunction in Covid-19[NCT04316884] | 300 participants (Anticipated) | Observational | 2020-03-12 | Recruiting | |||
| Uppföljning av Patienter Som intensivvårdats för COVID-19[NCT04474249] | 300 participants (Anticipated) | Observational | 2020-06-25 | Recruiting | |||
| [information is prepared from clinicaltrials.gov, extracted Sep-2024] | |||||||
4 reviews available for urea and 2019 Novel Coronavirus Disease
| Article | Year |
|---|---|
Topics: Adult; Alcohol Drinking; Ammonia; Animals; Anti-Inflammatory Agents; Area Under Curve; B-Lymphocytes | 2021 |
Obesity contributes to mortality and displays alterations in calcium, urea and hemoglobin levels in SARS-CoV-2 infected individuals.
Topics: Calcium; COVID-19; Humans; Obesity; Observational Studies as Topic; Overweight; SARS-CoV-2; Urea | 2022 |
Psychological distress among health care professionals of the three COVID-19 most affected Regions in Cameroon: Prevalence and associated factors.
Topics: 3' Untranslated Regions; 5'-Nucleotidase; A549 Cells; Accidental Falls; Acetylcholinesterase; Acryli | 2021 |
Psychological distress among health care professionals of the three COVID-19 most affected Regions in Cameroon: Prevalence and associated factors.
Topics: 3' Untranslated Regions; 5'-Nucleotidase; A549 Cells; Accidental Falls; Acetylcholinesterase; Acryli | 2021 |
Psychological distress among health care professionals of the three COVID-19 most affected Regions in Cameroon: Prevalence and associated factors.
Topics: 3' Untranslated Regions; 5'-Nucleotidase; A549 Cells; Accidental Falls; Acetylcholinesterase; Acryli | 2021 |
Psychological distress among health care professionals of the three COVID-19 most affected Regions in Cameroon: Prevalence and associated factors.
Topics: 3' Untranslated Regions; 5'-Nucleotidase; A549 Cells; Accidental Falls; Acetylcholinesterase; Acryli | 2021 |
[Multidisciplinary management of a typical case of acute kidney failure in the course of COVID-19 infection].
Topics: Acute Kidney Injury; Aged; Antihypertensive Agents; Antiviral Agents; Betacoronavirus; Coronavirus I | 2020 |
2 trials available for urea and 2019 Novel Coronavirus Disease
| Article | Year |
|---|---|
Psychological distress among health care professionals of the three COVID-19 most affected Regions in Cameroon: Prevalence and associated factors.
Topics: 3' Untranslated Regions; 5'-Nucleotidase; A549 Cells; Accidental Falls; Acetylcholinesterase; Acryli | 2021 |
Psychological distress among health care professionals of the three COVID-19 most affected Regions in Cameroon: Prevalence and associated factors.
Topics: 3' Untranslated Regions; 5'-Nucleotidase; A549 Cells; Accidental Falls; Acetylcholinesterase; Acryli | 2021 |
Psychological distress among health care professionals of the three COVID-19 most affected Regions in Cameroon: Prevalence and associated factors.
Topics: 3' Untranslated Regions; 5'-Nucleotidase; A549 Cells; Accidental Falls; Acetylcholinesterase; Acryli | 2021 |
Psychological distress among health care professionals of the three COVID-19 most affected Regions in Cameroon: Prevalence and associated factors.
Topics: 3' Untranslated Regions; 5'-Nucleotidase; A549 Cells; Accidental Falls; Acetylcholinesterase; Acryli | 2021 |
Study into the reversal of septic shock with landiolol (beta blockade): STRESS-L Study protocol for a randomised trial.
Topics: COVID-19; England; Humans; Morpholines; Randomized Controlled Trials as Topic; Shock, Septic; Treatm | 2021 |
29 other studies available for urea and 2019 Novel Coronavirus Disease
| Article | Year |
|---|---|
Lithium toxicity at therapeutic doses as a fallout of COVID-19 infection: a case series and possible mechanisms.
Topics: Anti-Inflammatory Agents, Non-Steroidal; Antimanic Agents; Bipolar Disorder; COVID-19; Creatinine; F | 2022 |
Association of Covid-19 with blood type A in relation to blood sugar, urea, and blood test (D-dimer and ferritin) in patients from Al-Najaf.
Topics: ABO Blood-Group System; Adolescent; Adult; Aged; Aged, 80 and over; Biomarkers; Blood Glucose; COVID | 2022 |
Effect of first application laboratory values on the prognosis of COVID-19 patients hospitalized in the intensive care unit.
Topics: COVID-19; Ferritins; Hospital Mortality; Humans; Intensive Care Units; Prognosis; Retrospective Stud | 2022 |
Early Recognition of Low-Risk SARS-CoV-2 Pneumonia: A Model Validated With Initial Data and Infectious Diseases Society of America/American Thoracic Society Minor Criteria.
Topics: C-Reactive Protein; Cohort Studies; Communicable Diseases; Community-Acquired Infections; COVID-19; | 2022 |
Clinical and chest computed tomography features of patients suffering from mild and severe COVID-19 at Fayoum University Hospital in Egypt.
Topics: COVID-19; Egypt; Ferritins; Hospitals, University; Humans; Lymphopenia; Retrospective Studies; SARS- | 2022 |
Utilization of SUMO Tag and Freeze-thawing Method for a High-level Expression and Solubilization of Recombinant Human Angiotensinconverting Enzyme 2 (rhACE2) Protein in
Topics: Angiotensin-Converting Enzyme 2; COVID-19; Escherichia coli; Humans; Protein Binding; SARS-CoV-2; Sm | 2022 |
Clinical Characteristics and outcome analysis of SARS-CoV-2 patients admitted to different Critical Care Units in Nepal.
Topics: Alanine Transaminase; Cough; COVID-19; Critical Care; Dyspnea; Female; Fever; Humans; Male; Nepal; P | 2022 |
[Predictors of unfavorable outcomes of ischemic stroke associated with COVID-19].
Topics: Aged; Aged, 80 and over; C-Reactive Protein; COVID-19; Female; Humans; Ischemic Stroke; Middle Aged; | 2022 |
Clinical characteristics and laboratory parameters associated with the risk of severe COVID-19 in patients from two hospitals in Northeast Brazil.
Topics: Adolescent; Adult; Aspartate Aminotransferases; Blood Glucose; Brazil; C-Reactive Protein; COVID-19; | 2022 |
Dehydration is associated with production of organic osmolytes and predicts physical long-term symptoms after COVID-19: a multicenter cohort study.
Topics: Amino Acids; COVID-19; Dehydration; Glucose; Humans; Post-Acute COVID-19 Syndrome; Potassium; SARS-C | 2022 |
Dehydration is associated with production of organic osmolytes and predicts physical long-term symptoms after COVID-19: a multicenter cohort study.
Topics: Amino Acids; COVID-19; Dehydration; Glucose; Humans; Post-Acute COVID-19 Syndrome; Potassium; SARS-C | 2022 |
Dehydration is associated with production of organic osmolytes and predicts physical long-term symptoms after COVID-19: a multicenter cohort study.
Topics: Amino Acids; COVID-19; Dehydration; Glucose; Humans; Post-Acute COVID-19 Syndrome; Potassium; SARS-C | 2022 |
Dehydration is associated with production of organic osmolytes and predicts physical long-term symptoms after COVID-19: a multicenter cohort study.
Topics: Amino Acids; COVID-19; Dehydration; Glucose; Humans; Post-Acute COVID-19 Syndrome; Potassium; SARS-C | 2022 |
A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest X-rays.
Topics: Adult; C-Reactive Protein; COVID-19; Humans; Lymphocyte Count; Retrospective Studies; SARS-CoV-2; Ur | 2022 |
Antibody Avidity Maturation Following Recovery From Infection or the Booster Vaccination Grants Breadth of SARS-CoV-2 Neutralizing Capacity.
Topics: Antibodies, Neutralizing; Antibodies, Viral; Antibody Affinity; BNT162 Vaccine; COVID-19; COVID-19 S | 2023 |
Diagnostic Values of Laboratory Biomarkers in Predicting a Severe Course of COVID-19 on Hospital Admission.
Topics: Albumins; Biomarkers; COVID-19; COVID-19 Testing; Hospitals; Humans; Inflammation; Neutrophils; Retr | 2022 |
On-admission and dynamic trend of laboratory profiles as prognostic biomarkers in COVID-19 inpatients.
Topics: Adult; Aged; Biomarkers; C-Reactive Protein; COVID-19; Creatinine; Female; Humans; Inpatients; Male; | 2023 |
Molecular and Physiological Study in Patients with Coronavirus in Thi-Qar Province Iraq.
Topics: Adolescent; Adult; Aged; Blood Glucose; Child; COVID-19; Creatinine; Female; Hemoglobins; Iraq; Male | 2022 |
Higher urea-to-albumin ratio is associated with mortality risk in critically ill COVID-19 patients.
Topics: COVID-19; Female; Humans; Intensive Care Units; Male; Middle Aged; Prognosis; Retrospective Studies; | 2023 |
Routine laboratory parameters in estimating mortality and morbidity in COVID-19 diagnosed cases followed in the intensive care unit.
Topics: Adolescent; Adult; Aged; Aged, 80 and over; C-Reactive Protein; COVID-19; Creatinine; Female; Ferrit | 2023 |
Kinetics of small and middle molecule clearance during continuous hemodialysis.
Topics: Anticoagulants; Blood Coagulation; Citrates; Citric Acid; COVID-19; Humans; Kinetics; Renal Dialysis | 2023 |
Predictive value of ferritin, glucose, urea, and creatinine for COVID-19 severity and mortality in patients from Asir, Saudi Arabia.
Topics: COVID-19; Creatinine; Ferritins; Glucose; Humans; Intensive Care Units; Retrospective Studies; Saudi | 2023 |
Clinical chemistry tests for patients with COVID-19 - important caveats for interpretation.
Topics: Betacoronavirus; Blood Gas Analysis; Chemistry, Clinical; Clinical Chemistry Tests; Clinical Laborat | 2020 |
Laboratory predictors of death from coronavirus disease 2019 (COVID-19) in the area of Valcamonica, Italy.
Topics: Age Factors; Aged; Aged, 80 and over; Arginine; Aspartate Aminotransferases; Betacoronavirus; Blood | 2020 |
COVID-19 and kidney transplant recipients.
Topics: Adult; C-Reactive Protein; Cough; COVID-19; Cross-Sectional Studies; Dyspnea; Female; Fever; Humans; | 2020 |
A prediction model of outcome of SARS-CoV-2 pneumonia based on laboratory findings.
Topics: Aged; Betacoronavirus; Bilirubin; Coronavirus Infections; COVID-19; Data Accuracy; Feasibility Studi | 2020 |
Value of dynamic clinical and biomarker data for mortality risk prediction in COVID-19: a multicentre retrospective cohort study.
Topics: Aged; Aged, 80 and over; Area Under Curve; Betacoronavirus; Bilirubin; Biomarkers; C-Reactive Protei | 2020 |
Association between red blood cell distribution width and mortality of COVID-19 patients.
Topics: Age Factors; Aged; APACHE; Area Under Curve; Cell Shape; Cell Size; COVID-19; Erythrocyte Indices; E | 2021 |
Structural basis for the inhibition of the SARS-CoV-2 main protease by the anti-HCV drug narlaprevir.
Topics: Coronavirus 3C Proteases; COVID-19; COVID-19 Drug Treatment; Cyclopropanes; Cysteine Proteinase Inhi | 2021 |
Neurological and psychiatric presentations associated with COVID-19.
Topics: C-Reactive Protein; China; COVID-19; Cystatin C; Humans; Interleukin-10; Mental Disorders; Nervous S | 2022 |
Analysis of laboratory blood parameter results for patients diagnosed with COVID-19, from all ethnic group populations: A single centre study.
Topics: Adult; Aged; Aged, 80 and over; COVID-19; Ethnicity; Female; Ferritins; Fibrinogen; Glycated Hemoglo | 2021 |
Development and validation of a simplified risk score for the prediction of critical COVID-19 illness in newly diagnosed patients.
Topics: Adult; Age Factors; Aged; Aged, 80 and over; C-Reactive Protein; COVID-19; Female; Fibrin Fibrinogen | 2021 |