Scientific Reports (Jul 2021)

Informing selection of drugs for COVID-19 treatment through adverse events analysis

  • Wenjing Guo,
  • Bohu Pan,
  • Sugunadevi Sakkiah,
  • Zuowei Ji,
  • Gokhan Yavas,
  • Yanhui Lu,
  • Takashi E. Komatsu,
  • Madhu Lal-Nag,
  • Weida Tong,
  • Tucker A. Patterson,
  • Huixiao Hong

DOI
https://doi.org/10.1038/s41598-021-93500-5
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 7

Abstract

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Abstract Coronavirus disease 2019 (COVID-19) is an ongoing pandemic and there is an urgent need for safe and effective drugs for COVID-19 treatment. Since developing a new drug is time consuming, many approved or investigational drugs have been repurposed for COVID-19 treatment in clinical trials. Therefore, selection of safe drugs for COVID-19 patients is vital for combating this pandemic. Our goal was to evaluate the safety concerns of drugs by analyzing adverse events reported in post-market surveillance. We collected 296 drugs that have been evaluated in clinical trials for COVID-19 and identified 28,597,464 associated adverse events at the system organ classes (SOCs) level in the FDA adverse events report systems (FAERS). We calculated Z-scores of SOCs that statistically quantify the relative frequency of adverse events of drugs in FAERS to quantitatively measure safety concerns for the drugs. Analyzing the Z-scores revealed that these drugs are associated with different significantly frequent adverse events. Our results suggest that this safety concern metric may serve as a tool to inform selection of drugs with favorable safety profiles for COVID-19 patients in clinical practices. Caution is advised when administering drugs with high Z-scores to patients who are vulnerable to associated adverse events.