Investigating the risk of deep vein thrombosis with JAK inhibitors: a disproportionality analysis using FDA Adverse Event Reporting System Database (FAERS).

BACKGROUND: Janus kinase (JAK) inhibitors are immune-modulating medications used to treat conditions including rheumatoid arthritis, COVID-19, ulcerative colitis, atopic dermatitis, myelofibrosis, and polycythemia Vera. However, these medications have been associated with higher incidence of deep vein thrombosis. The objective of this study was to investigate potential safety signals for DVT associated with JAK inhibitors using disproportionality analysis from the FDA Adverse Event Reporting System (FAERS) database. RESEARCH DESIGN AND METHODS: The authors retrospectively investigated case/non-case analysis using Openvigil 2.1-MedDRA-v24 (2004Q1 to 2022Q4). The preferred term used was 'deep vein thrombosis,' and the drugs included were baricitinib, tofacitinib, and upadacitinib. Reporting odds ratio, proportional reporting ratio, and information component were used to detect signals. RESULTS: Overall 114,005 AE reports related to JAK inhibitors were identified, of which 647 reports (baricitinib - 169, tofacitinib - 425, and upadacitinib - 53) associated with DVT were obtained from FAERS. On analysis, baricitinib and tofacitinib had greater signal strength for age group of 65-100 years and all three had the highest signal strength for male gender. CONCLUSIONS: Our study identified signals for DVT with baricitinib, tofacitinib, and upadacitinib. Further research using well-designed epidemiological data is needed to validate these results.

Remdesivir for COVID-19 and acute kidney injury: disproportionality analysis of data from the U.S. Food and Drug Administration Adverse Event Reporting System.

BACKGROUND: Evidence about remdesivir-associated acute kidney injury (AKI) among patients with novel coronavirus disease 2019 (COVID-19) was controversial. AIM: To investigate the signal of disproportionate reporting of remdesivir-related AKI in COVID-19 patients over time with data from US Food and Drug Administration Adverse Event Reporting System. METHOD: Adverse events in COVID-19 patients reported between April 2020 and September 2022 were included. Reporting odds ratios (RORs) of AKI and renal disorders (a more sensitive definition for AKI) were estimated to compare remdesivir with other medications prescribed in comparable situations of COVID-19. RESULTS: During the entire study period, significant signals were identified for remdesivir-related AKI (ROR 2.00, 95% CI: 1.83-2.18) and renal disorder (ROR 2.35, 95% CI: 2.17-2.54) when compared to all comparable drugs. However, in the third quarter of 2022 (the most recent quarter) signals disappeared as the ROR of AKI was 1.50 (95% CI 0.91-2.45) and ROR of renal disorder was 1.69 (95% CI 1.06-2.70). Number of signals in sensitivity analyses and the proportion of AKI in remdesivir-associated events decreased over time. CONCLUSION: In COVID-19 patients, we observed diminishing signals of remdesivir-associated AKI over time and no significant signal in the most recent quarter, suggesting remdesivir might not be nephrotoxic.

Toxicity signals associated with secukinumab: A pharmacovigilance study based on the United States Food and Drug Administration Adverse Event Reporting System database.

AIMS: Secukinumab, the first interleukin 17A inhibitor, is widely used to treat immune diseases, including plaque psoriasis, psoriatic arthritis and ankylosing spondylitis. Recently, many studies have reported adverse events associated with secukinumab, including gastrointestinal disorders, infections and infestations, and hypersensitive and nervous system disorders. OBJECTIVE: Here, we aimed to explore the clinical characteristics, outcomes and time to onset of the four main toxicities of secukinumab using post-marketing data. METHODS: Our study utilized data from the United States Food and Drug Administration Adverse Event Reporting System (FAERS) database from 2015 to 2021, using disproportionality analysis. Toxicities were defined based on the standardized Medical Dictionary for Regulatory Activities queries. Two disproportionality methods were used to detect potential signals: information component (IC) and reporting odds ratio (ROR). The signals were defined as ROR025 > 1 and IC025 > 0. RESULTS: A total of 73 945 398 records were included in this study, of which 300 665 records were related to secukinumab. Diarrhoea (N = 3538), nasopharyngitis (N = 3458), pruritus (N = 4277) and rash (N = 3270) were the most common adverse events. Inflammatory bowel disease (IC025 /ROR025 = 3.25/9.69), genital candidiasis (IC025 /ROR025 = 3.46/11.54), dermatitis psoriasiform (IC025 /ROR025 = 1.94/4.04) and anosmia (IC025 /ROR025 = 1.62/3.17) had the highest IC025 values of all toxicities. The time to onset of the four toxicities was mainly concentrated in the first month. Some patients simultaneously presented with two or more toxicities. CONCLUSION: This pharmacovigilance study systematically explored the four main toxicities of secukinumab and provided new safety signals based on past safety information. Some high-risk signals need to be given attention.

The Influence of the Rapid Increase in the Number of Adverse Event Reports for COVID-19 Vaccine on the Disproportionality Analysis Using JADER.

BACKGROUND/AIM: The COVID-19 prophylactic vaccine for the prevention of coronavirus infection was approved in Japan on February 14, 2021. Adverse event reports for the vaccine were collected from the Japan Adverse Drug Event Relief (JADER) database, similar to those for drugs. Reported odds ratios (RORs) and proportional reporting ratios (PRRs) are commonly used in disproportionality analysis to detect safety signals. Therefore, adverse event reports from the vaccinated population may affect the detection of safety signals for the registered drugs. This study determined the impact of adverse event reports on the detection of safety signals for a COVID-19 prophylactic vaccine by analyzing the JADER database using disproportionality analysis. PATIENTS AND METHODS: We extracted data from the JADER dataset, in which the COVID-19 vaccine was reported as a suspected drug, and selected the top 10 adverse events in terms of the number of reports. We then extracted the top 30 drugs by the amount of information in the selected 10 adverse events and compared the changes in the number of signal detections with and without the COVID-19 vaccine report data. RESULTS: The total number of adverse events reported in the JADER database during the study period was 2,002,564. Of the total number of reports, 85,489 (4.3%) reported adverse events related to the COVID-19 vaccine. Of the top 30 drugs reported in the 10 selected adverse events, the ROR and PRR were found to be lower with the inclusion of COVID-19 vaccine data than without. Detection by ROR excluded 23 out of 245 drugs, and detection by PRR excluded 34 out of 204 drugs. CONCLUSION: The rapid increase in the number of adverse event reports for the COVID-19 vaccine in JADER may affect the detection of safety signals by disproportionality analysis.

Adverse events of alpelisib: A postmarketing study of the World Health Organization pharmacovigilance database.

AIMS: To explore and describe the adverse reaction signals in the safety reporting for alpelisib. METHODS: We performed a disproportionality analysis of the World Health Organization's VigiBase pharmacovigilance database from 1 January 2019 to 30 June 2021. Disproportionality analysis by information components (ICs) were used to evaluate the potential association between adverse events (AEs) and alpelisib. RESULTS: A total of 33 327 reports were extracted, 5695 of them were chosen with alpelisib as the suspected drug. After combining the same ID, 687 cases remained. The 45-64-years group had the most cases (n = 203, 29.55%). There were 129 Preferred Terms with significant signals. Hyperglycaemia (IC025 = 6.74), breast cancer metastatic (IC025 = 5.85) and metastases to liver (IC025 = 4.70) were the AEs with the strongest signal. AEs with the most cases were hyperglycaemia (n = 595), rash (n = 535) and diarrhoea (n = 475). CONCLUSION: We established a comprehensive list of AEs potentially associated with alpelisib. AEs with the most significant signals were hyperglycaemia, breast cancer metastatic, metastases to liver. The AEs with the most cases were hyperglycaemia, rash, diarrhoea, blood glucose increase and nausea.