Cardiac adverse events associated with axitinib: A real-world pharmacovigilance study based on the Japanese adverse drug event report database
Clinical Snapshot
PICO Framework
| P — Population | Patients receiving axitinib therapy reported in the Japanese Adverse Drug Event Report (JADER) database from April 2004 to December 2024 |
| I — Intervention | Axitinib exposure |
| C — Comparator | All other drugs in the JADER database (implicit comparator for disproportionality analysis) |
| O — Outcomes | Cardiac adverse events including cardiac failure, myocarditis, myocardial infarction, hypertension, and oedema; time to onset; fatal outcomes |
Bottom Line
This pharmacovigilance study of nearly 3 million Japanese adverse event reports identified 16 cardiac adverse events with disproportionality signals for axitinib, including potentially fatal cardiac failure and myocarditis. While the study provides valuable real-world safety data, it is limited by the inherent constraints of spontaneous reporting systems, including lack of clinical validation and minimal confounder adjustment. The findings suggest cardiac events can occur throughout the treatment course (14-420 days), with some showing dose-dependent patterns. For Australian clinicians, this reinforces the importance of baseline cardiac assessment and ongoing monitoring during axitinib therapy, particularly given the drug's PBS availability for renal cell carcinoma. However, the lack of incidence rates and clinical context limits direct application to individual patient risk assessment.
Key Findings
P Value: Statistical significance achieved for 16 cardiac AEs
Effect Size: RORs calculated but specific values not provided in abstract
Primary Outcome: 16 cardiac adverse events showed disproportionality signals with axitinib
Nnt Or Sensitivity: 508 cardiac AEs among 4,788 total axitinib reports (10.6% cardiac AE rate)
Confidence Interval: Not reported in abstract
Clinical Application
Findings support enhanced cardiac monitoring protocols during axitinib therapy Relevant to Australian oncology practice as axitinib is PBS-listed for advanced renal cell carcinoma. Supports TGA post-marketing surveillance and COSA guidelines for tyrosine kinase inhibitor monitoring Patients receiving axitinib for renal cell carcinoma or other approved indications
Abstract
OBJECTIVE: To evaluate the disproportionality, times to onset, and outcomes of cardiac adverse events (AEs) associated with axitinib, using data from the Japanese Adverse Drug Event Report (JADER) database. METHODS: We analyzed data for the period from April 2004 to December 2024. Those on cardiac AEs were extracted and the disproportionality of axitinib-associated AEs was assessed by calculating reporting odds ratios (RORs). RESULTS: Of the 2,988,681 reports with sex and age information, we identified 4788 reports of AEs associated with axitinib, including 508 cardiac AEs. Signals were detected for 16 cardiac AEs after adjustment for sex and age. Fatal outcomes were reported for five of these events with particularly high rates observed for cardiac failure, myocarditis, and immune-mediated myocarditis. Median times to onset indicated that cardiac AEs associated with axitinib occurred 14 to 420 days after administration. Weibull distributions showed that seven AEs (blood pressure increased, myocardial infarction, acute myocardial infarction, blood pressure systolic increased, oedema peripheral, oedema, and generalised oedema) occurred constantly throughout the exposure period (random failure type), and stress cardiomyopathy and immune-mediated myocarditis developed in a dose-dependent manner (wear-out failure-type). CONCLUSIONS: We focused on cardiac AEs associated with axitinib as post-marketing AEs. Some with fatal outcomes may occur not only early in treatment but also later in the course. Continuous monitoring is essential to ensure timely detection and management of these potentially serious AEs in clinical practice.
Related Research
Cancer medicine
Applications of Artificial Intelligence in Cancer Diagnosis and Treatment
1 Aug 2026
Acta oncologica (Stockholm, Sweden)
User perceptions of machine learning models as decision support for colorectal cancer multidisciplinary team conferences (AID-SIM-2): a qualitative simulation study.
1 Aug 2026
Journal of breast imaging
Contrast-Enhanced Mammography for Breast Cancer Screening: A Systematic Review and Meta-Analysis
30 July 2026
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service