gatifloxacin and Coronary Disease

gatifloxacin has been researched along with Coronary Disease in 8 studies

Gatifloxacin: A fluoroquinolone antibacterial agent and DNA TOPOISOMERASE II inhibitor that is used as an ophthalmic solution for the treatment of BACTERIAL CONJUNCTIVITIS.
gatifloxacin : A monocarboxylic acid that is 4-oxo-1,4-dihydroquinoline-3-carboxylic acid which is substituted on the nitrogen by a cyclopropyl group and at positions 6, 7, and 8 by fluoro, 3-methylpiperazin-1-yl, and methoxy groups, respectively. Gatifloxacin is an antibiotic of the fourth-generation fluoroquinolone family, that like other members of that family, inhibits the bacterial topoisomerase type-II enzymes.

Coronary Disease: An imbalance between myocardial functional requirements and the capacity of the CORONARY VESSELS to supply sufficient blood flow. It is a form of MYOCARDIAL ISCHEMIA (insufficient blood supply to the heart muscle) caused by a decreased capacity of the coronary vessels.

Research

Studies (8)

Authors

Clinical Trials (5)

Trial Overview

Trial Outcomes

Change in C-Reactive Protein (CRP) From Baseline to Week 12

(NCT01082588)
Timeframe: Baseline, week 12

Change in LDL-cholesterol Between Baseline and Week 12

(NCT01082588)
Timeframe: Baseline, week 12

Change in MATRICS Neuropsychological Battery Composite Score From Baseline to Week 12

"The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery measures cognitive functioning within 7 domains: speed of processing, attention/vigilance, working memory (non verbal and verbal), verbal learning, visual learning, reasoning and problem solving and social cognition.~The composite score is calculated by the MATRICS computer program, which equally weights each of the 7 domain scores. The range of composite scores is 20-80. Higher scores indicate higher levels or cognitive functioning, while lower scores indicate lower levels of cognitive functioning." (NCT01082588)
Timeframe: Baseline, week 12

Change in Positive and Negative Syndrome Scale (PANSS) General Score From Baseline to Week 12

This is a subscale of the Positive and Negative Syndrome Scale (PANSS). The range for this subscale is 15-105. All items are summed to calculate the total score. Better outcomes have lower numbers and worse outcomes have higher numbers. (NCT01082588)
Timeframe: Baseline, week 12

Change in Positive and Negative Syndrome Scale (PANSS) Negative Score From Baseline to Week 12

This is a subscale of the Positive and Negative Syndrome Scale (PANSS). The range for this subscale is 7-49. All items are summed to calculate the total score. Better outcomes have lower numbers and worse outcomes have higher numbers. (NCT01082588)
Timeframe: Baseline, week 12

Change in Positive and Negative Syndrome Scale (PANSS) Positive Score From Baseline to Week 12

This is a subscale of the Positive and Negative Syndrome Scale (PANSS). The range for this subscale is 7-49. All items are summed to calculate the total score. Better outcomes have lower numbers and worse outcomes have higher numbers. (NCT01082588)
Timeframe: Baseline, week 12

Change in Positive and Negative Syndrome Scale (PANSS) Total Score From Baseline to Week 12

The Positive and Negative Syndrome Scale (PANSS) is a scale used to rate severity of schizophrenia. All items are summed to calculate the total score. The scale range is 30-210. Better outcomes have lower numbers and worse outcomes have higher numbers. (NCT01082588)
Timeframe: Baseline, week 12

Percent Change From Baseline (PCFB) in Low-density Lipoprotein Cholesterol (LDL-C) at Week 12

PCFB was calculated as the ([post-Baseline (BL) value minus the BL value] divided by the BL value ) x 100. BL was defined as the mean of the last two non-missing values on or prior to Day 1. If only one value was available, that single value was used as BL. PCFB in LDL-C was analyzed using analysis of covariance (ANCOVA), with treatment group and stratification factor (primary prevention; secondary prevention) as fixed effects and BL as a covariate. For participants with missing lipid data at Week 12 who were no longer taking study treatment, missing values were imputed using multiple imputation via a regression-based model including stratification and BL data from placebo participants only. In this imputation model, treatment group was not included. For participants with missing lipid data at Week 12 who were still taking study treatment, missing values were imputed using multiple imputation via a regression-based model including treatment, stratification and BL value. (NCT02988115)
Timeframe: Baseline; Week 12

Percent Change From Baseline in High-Sensitivity C-Reactive Protein (hsCRP) at Week 12

Percent change from Baseline was calculated as the ([post-Baseline value minus the Baseline value] divided by the Baseline value) x 100. Baseline for hsCRP is defined as the last non-missing value on or prior to Day 1. Percent change from Baseline in hsCRP, non-parametric (Wilcoxon rank-sum test) analysis with Hodges-Lehmann estimates and confidence interval was performed. (NCT02988115)
Timeframe: Baseline; Week 12

Percent Change From Baseline in LDL-C at Week 24

PCFB was calculated as the ([post-BL value minus the BL value] divided by the BL value ) x 100. BL was defined as the mean of the last two non-missing values on or prior to Day 1. If only one value was available then that single value was used as BL. PCFB in LDL-C was analyzed using ANCOVA, with treatment group and stratification factor (primary prevention; secondary prevention) as fixed effects and BL as a covariate. For participants with missing lipid data at Week 12 who were no longer taking study treatment, missing values were imputed using multiple imputation via a regression-based model including stratification and BL data from placebo participants only. In this imputation model, treatment group was not included. For participants with missing lipid data at Week 12 who were still taking study treatment, missing values were imputed using multiple imputation via a regression-based model including treatment, stratification and BL value. (NCT02988115)
Timeframe: Baseline; Week 24

Absolute Change From Baseline in LDL-C at Week 12 and Week 24

Change from Baseline is calculated as the ([post-Baseline value minus the Baseline value] divided by the Baseline value ) x 100. Baseline is defined as the mean of the last two non-missing values on or prior to Day 1. (NCT02988115)
Timeframe: Baseline; Week 12; Week 24

Percent Change From Baseline in the Lipid Profile at Week 12

PCFB was calculated as: ([post-BL value minus the BL value] divided by the BL value) x 100. BL was defined as the mean of the last two non-missing values on or prior to Day 1. If only one value was available, that single value was used as BL. apoB and TC BL were defined as the last non-missing value on/prior to Day 1. PCFB was analyzed using ANCOVA, with treatment and group stratification factor (primary prevention; secondary prevention) as fixed effects and BL as a covariate. For participants with missing data at Week 12 who were no longer taking study treatment (ST), missing values were imputed using multiple imputation via a regression-based model including stratification and BL data from placebo participants only. In this imputation model, treatment group was not included. For participants with missing lipid data at Week 12 who were still taking ST, missing values were imputed using multiple imputation via a regression-based model including treatment, stratification and BL value. (NCT02988115)
Timeframe: Baseline; Week 12

Trials

2 trials available for gatifloxacin and Coronary Disease

Other Studies

6 other studies available for gatifloxacin and Coronary Disease