A real-world pharmacovigilance study of FDA adverse event reporting system events for Capmatinib

Yiming Qi1,2, Jing Li1,2, Sisi Lin3

  • 1Tongde Hospital Affiliated to Zhejiang Chinese Medical University (Tongde Hospital of Zhejiang Province), No. 234, Gucui Road, Hangzhou, 310012, Zhejiang, China.

Scientific Reports
|May 18, 2024
PubMed

Insights

This study identified new adverse events associated with capmatinib, a non-small cell lung cancer treatment. It highlights specific risks in different patient groups, improving the drug's safety profile understanding.

Area of Science:

  • Oncology
  • Pharmacovigilance
  • Drug Safety

Background:

  • Capmatinib is an approved targeted therapy for metastatic non-small cell lung cancer.
  • Real-world data on capmatinib's safety profile is limited.
  • Understanding drug-induced adverse events is crucial for patient safety.

Purpose of the Study:

  • To evaluate capmatinib-induced adverse events using real-world data.
  • To identify novel safety signals associated with capmatinib treatment.
  • To investigate demographic and clinical factors influencing adverse event risk.

Main Methods:

  • Data mining of the FDA Adverse Event Reporting System (FAERS) database.
  • Application of four disproportionality analysis methods to detect adverse event signals.
  • Stratified analysis based on sex, age, weight, dose, onset time, continent, and concomitant medications.

Main Results:

  • 1518 reports and 4278 adverse events linked to capmatinib were identified.
  • New significant signals included dysphagia, dehydration, deafness, vocal cord paralysis, muscle disorder, and oesophageal stenosis.
  • Specific risks were noted for females (liver enzyme increases, especially with immune checkpoint inhibitors), Americans over 65 (peripheral swelling), and Asians (renal impairment with doses >400mg).

Conclusions:

  • This study expands the known safety profile of capmatinib.
  • Identified adverse events and risk factors can inform clinical practice and patient monitoring.
  • Further real-world data analysis is essential for comprehensive drug safety assessment.

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