Venetoclax adverse event monitoring: a safety meta-analysis of randomized controlled trials and a retrospective evaluation of the FAERS.
Muhammed Favas KtManeesh SemwalBeema T YoosufDeepesh LadDipika BansalPublished in: Annals of hematology (2024)
Concerns persist about venetoclax's long-term safety in larger populations, with limited evidence of infrequent and delayed adverse events (AEs). The study integrated safety data on venetoclax in leukemia patients from randomized controlled trials (RCTs) and FDA adverse event monitoring system (FAERS). We systematically reviewed RCTs reporting safety outcomes of venetoclax in adult leukemia patients of any gender, either monotherapy or in combination, applying advanced search on databases like PubMed, EMBASE, and ClinicalTrial.gov. The quality assessment was done using the Cochrane Risk of Bias Tool. We utilized a random effect meta-analysis to calculate risk ratio (RR) with 95% confidence intervals (CI). The Open Vigil 2.1 MedDRAv24 was used to search the FAERS database, with data available until September 2023. The disproportionality was calculated using the proportional reporting ratio and the reporting odds ratio. The study protocol for meta-analysis was registered with PROSPERO; CRD42022378006. For the safety meta-analysis, seven RCTs with available AEs were examined. A total of 942 AEs were found associated with the venetoclax group; 79% of them were in grade three or above. Venetoclax significantly increased the risk of neutropenia grade three or above (RR = 1.34, 95% CI: 1.10-1.64, p: 0.0033) compared with the control group. In FAERS, 26,436 patients were reported with AEs associated with venetoclax. Significant signal scores were observed in hematological, cardiac, vascular, and gastrointestinal disorders. 11 out of 30 generated signals, failed to meet the signal criteria upon refinement. The current study updated and improved the safety profile of venetoclax in the post-marketing period, assisting in risk evaluation and mitigation for the best possible patient health care.
Keyphrases
- systematic review
- end stage renal disease
- newly diagnosed
- chronic lymphocytic leukemia
- healthcare
- prognostic factors
- randomized controlled trial
- adverse drug
- acute myeloid leukemia
- heart failure
- big data
- peritoneal dialysis
- bone marrow
- meta analyses
- emergency department
- clinical trial
- left ventricular
- adipose tissue
- electronic health record
- machine learning
- minimally invasive
- patient reported outcomes
- weight loss
- artificial intelligence
- skeletal muscle
- health information
- deep learning
- health insurance
- open label