scholarly journals PDG45 ENOXAPARIN AND LIVER INJURY: SIGNAL DETECTION USING DATA FROM FDA ADVERSE EVENT REPORTING SYSTEM (FEARS)

2019 ◽  
Vol 22 ◽  
pp. S170
Author(s):  
P. Gebrehiwet ◽  
T. Eguale
Keyword(s):  
Adverse Event ◽  
Liver Injury ◽  
Signal Detection ◽  
Reporting System ◽  
Adverse Event Reporting System ◽  
Adverse Event Reporting ◽  
Event Reporting ◽  
Using Data

scholarly journals Thrombocytopenia with Tedizolid and Linezolid

2017 ◽  
Vol 62 (1) ◽  
Author(s):  
Erica Yookyung Lee ◽  
Aisling R. Caffrey
Keyword(s):  
Adverse Event ◽  
Confidence Interval ◽  
Drug Administration ◽  
Odds Ratio ◽  
Reporting System ◽  
Adverse Event Reporting System ◽  
Adverse Event Reporting ◽  
Reporting Odds Ratio ◽  
Event Reporting ◽  
Using Data

ABSTRACT Several studies have suggested the risk of thrombocytopenia with tedizolid, a second-in-class oxazolidinone antibiotic (approved June 2014), is less than that observed with linezolid (first-in-class oxazolidinone). Using data from the Food and Drug Administration adverse event reporting system (July 2014 through December 2016), we observed significantly increased risks of thrombocytopenia of similar magnitudes with both antibiotics: linezolid reporting odds ratio [ROR], 37.9 (95% confidence interval [CI], 20.78 to 69.17); tedizolid ROR, 34.0 (95% CI, 4.67 to 247.30).

Using Data Mining to Predict Safety Actions from FDA Adverse Event Reporting System Data

2007 ◽  
Vol 41 (5) ◽  
pp. 633-643 ◽  
Author(s):  
Alan M. Hochberg ◽  
Stephanie J. Reisinger ◽  
Ronald K. Pearson ◽  
Donald J. O’Hara ◽  
Kevin Hall
Keyword(s):  
Data Mining ◽  
Adverse Event ◽  
Reporting System ◽  
Adverse Event Reporting System ◽  
Adverse Event Reporting ◽  
Event Reporting ◽  
System Data ◽  
Using Data

scholarly journals Drug-Induced Liver Injury Associated with Lopinavir- Ritonavir in Patients with COVID-19: A Disproportionality Analysis of U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) Data

2021 ◽  
Author(s):  
Huilin Tang ◽  
Liyuan Zhou ◽  
Xiaotong Li ◽  
Alan C Kinlaw ◽  
Jeff Y Yang ◽  
...  
Keyword(s):  
Adverse Event ◽  
Liver Injury ◽  
Drug Administration ◽  
Reporting System ◽  
Adverse Event Reporting System ◽  
Adverse Event Reporting ◽  
Disproportionality Analysis ◽  
Drug Induced ◽  
Event Reporting ◽  
Drug Induced Liver Injury

Abstract Background Liver injury has been documented independently in novel coronavirus disease 2019 (COVID-19) patients and patients treated with lopinavir-ritonavir. Objective to investigate the drug-induced liver injury associated with lopinavir-ritonavir among the patients with COVID-19. Methods We conducted a disproportionality analysis of US Food and Drug Administration Adverse Event Reporting System (FAERS) between 2020Q1 and 2020Q3 to evaluate the association between lopinavir-ritonavir and risk of drug-induced liver injury (or severe drug-induced liver injury) and calculated their reporting odds ratios (RORs) with 95% confidence intervals (CIs). Results A total of 1,754 reports of drug-induced liver injury in patients with COVID-19. The ROR for drug-induced liver injury was 1.4 (95% CI, 1.1–1.7), 3.6 (95% CI, 2.7–4.7), and 0.8 (95% CI, 0.7-1.0) when comparing lopinavir-ritonavir with all other drugs, hydroxychloroquine/chloroquine only, and remdesivir, respectively. For severe drug-induced liver injury, RORs for lopinavir-ritonavir provided evidence of an association compared with all other drugs (ROR, 4.9; 95% CI, 3.7–6.5), compared with hydroxychloroquine/chloroquine only (ROR, 4.3; 95% CI, 3.0-6.2), and compared with remdesivir (ROR, 10.4; 95% CI, 7.2–15.0). Conclusions In the FAERS, we observed a disproportional signal for severe drug-induced liver injury associated with lopinavir-ritonavir in patients with COVID-19.

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