Jing Huang, Xinyuan Zhang, Jiayi Tong, Jingcheng Du, R. Duan, Liu Yang, J. Moore, Y. Chen, Cui Tao
{"title":"Comparing adverse effects of Hepatitis C drugs using FAERS data","authors":"Jing Huang, Xinyuan Zhang, Jiayi Tong, Jingcheng Du, R. Duan, Liu Yang, J. Moore, Y. Chen, Cui Tao","doi":"10.1109/BIBM.2018.8621427","DOIUrl":null,"url":null,"abstract":"Hepatitis C is a chronic infection that affects more than 100 million people in the world. In the United States, hepatitis C is the number one cause of liver cancer and the most common indication for liver transplantation. Recent advance in hepatitis C research have developed new drugs as a cure for hepatitis C. However, concerns have also been raised over safety of these new hepatitis C drugs. In this study, we presented a statistical procedure to compare the difference in adverse events among multiple hepatitis C drugs using data from the US Food and Drug Administration Adverse Event Reporting System. We reported the identified difference in adverse event rates among users of different hepatitis C drugs and estimated the difference attributable to different distributions in age and gender across groups of drug users. Moreover, the proposed procedure is a general pipeline that can be used to test and visualize difference of adverse events among multiple drugs to support regulatory decision-makings.","PeriodicalId":108667,"journal":{"name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBM.2018.8621427","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Hepatitis C is a chronic infection that affects more than 100 million people in the world. In the United States, hepatitis C is the number one cause of liver cancer and the most common indication for liver transplantation. Recent advance in hepatitis C research have developed new drugs as a cure for hepatitis C. However, concerns have also been raised over safety of these new hepatitis C drugs. In this study, we presented a statistical procedure to compare the difference in adverse events among multiple hepatitis C drugs using data from the US Food and Drug Administration Adverse Event Reporting System. We reported the identified difference in adverse event rates among users of different hepatitis C drugs and estimated the difference attributable to different distributions in age and gender across groups of drug users. Moreover, the proposed procedure is a general pipeline that can be used to test and visualize difference of adverse events among multiple drugs to support regulatory decision-makings.