SUN Jiabin, SHI Jiana, HU Ying, QIAN Zhengxian, ZHAO Pengcheng, GAO Manqi, JI Yanlan. Mining and Analysis of Adverse Event Signals of Vericiguat Based on OpenFDA and Openvigil Databases[J]. Chinese Journal of Modern Applied Pharmacy. DOI: 10.13748/j.cnki.issn1007-7693.20232207
    Citation: SUN Jiabin, SHI Jiana, HU Ying, QIAN Zhengxian, ZHAO Pengcheng, GAO Manqi, JI Yanlan. Mining and Analysis of Adverse Event Signals of Vericiguat Based on OpenFDA and Openvigil Databases[J]. Chinese Journal of Modern Applied Pharmacy. DOI: 10.13748/j.cnki.issn1007-7693.20232207

    Mining and Analysis of Adverse Event Signals of Vericiguat Based on OpenFDA and Openvigil Databases

    • OBJECTIVE To evaluate the drug safety of vericiguat.
      METHODS The OpenFDA database was searched for reports of adverse events(AE) related to vericiguat, and the top 10 adverse drug reactions(ADR) reports were selected. The Openvigil database was searched, and the top 10 ADRs were selected according to the reporting odds ratio(ROR) in the ratio imbalance method.
      RESULTS A total of 500 AEs about vericiguat were found in the OpenFDA database, and the top 3 ADRs were hypotension, death, and cardiac failure. A total of 296 AEs of vericiguat were found in the Openvigil database. The top 3 adverse reactions ranked by ROR were cardiorenal syndrome, ejection fraction abnormal, and cardiac failure chronic.
      CONCLUSION It is necessary to closely monitor blood pressure and blood routine when using vericiguat in clinic. Pharmacists need to strengthen the monitoring of ADR, and do a good job in the prevention and treatment of adverse reactions.
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