| アブストラクト | PURPOSE: We aimed to analyze and evaluate the safety signals of ribavirin-interferon combination through data mining of the US Food and Drug Administration Adverse Event Reporting System (FAERS), so as to provide reference for the rationale use of these agents in the management of relevant toxicities emerging in patients with novel coronavirus pneumonia (COVID-19). METHODS: Reports to the FAERS from 1 January 2004 to 8 March 2020 were analyzed. The proportion of report ratio (PRR), reporting odds ratio (ROR), and Bayesian confidence interval progressive neural network (BCPNN) method were used to detect the safety signals. RESULTS: A total of 55 safety signals were detected from the top 250 adverse event reactions in 2200 reports, but 19 signals were not included in the drug labels. All the detected adverse event reactions were associated with 13 System Organ Classes (SOC), such as gastrointestinal, blood and lymph, hepatobiliary, endocrine, and various nervous systems. The most frequent adverse events were analyzed, and the results showed that females were more likely to suffer from anemia, vomiting, neutropenia, diarrhea, and insomnia. CONCLUSION: The ADE (adverse drug event) signal detection based on FAERS is helpful to clarify the potential adverse events related to ribavirin-interferon combination for novel coronavirus therapy; clinicians should pay attention to the adverse reactions of gastrointestinal and blood systems, closely monitor the fluctuations of the platelet count, and carry out necessary mental health interventions to avoid serious adverse events. |
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| ジャーナル名 | Computational and mathematical methods in medicine |
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| Pubmed追加日 | 2020/10/9 |
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| 投稿者 | Shan, Wenya; Hong, Dongsheng; Zhu, Jieqiang; Zhao, Qingwei |
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| 組織名 | Department of Clinical Pharmacy, The First Affiliated Hospital of Zhejiang;University, 310003, China.;Zhejiang University of Technology, 310003, China.;Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research,;310003, China. |
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| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/33029193/ |
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