{"title":"南非接受联合抗逆转录病毒治疗患者的不良事件风险评估","authors":"B. Omolo, P. Njuho","doi":"10.6000/1929-6029.2020.09.02","DOIUrl":null,"url":null,"abstract":"Methods: This prospective cohort study consisted of 368 adult black HIV positive patients receiving cART at the Grey’s Hospital, KwaZulu-Natal, South Africa. Patients were intensively monitored for incidence of adverse events and the factors associated with their development, under the Antiretroviral Cohort Adverse Event Monitoring in KwaZulu-Natal (ACADEMIK). Multiple logistic regression models were used to identify the risk factors for AEs.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adverse Event Risk Assessment on Patients Receiving Combination Antiretroviral Therapy in South Africa\",\"authors\":\"B. Omolo, P. Njuho\",\"doi\":\"10.6000/1929-6029.2020.09.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Methods: This prospective cohort study consisted of 368 adult black HIV positive patients receiving cART at the Grey’s Hospital, KwaZulu-Natal, South Africa. Patients were intensively monitored for incidence of adverse events and the factors associated with their development, under the Antiretroviral Cohort Adverse Event Monitoring in KwaZulu-Natal (ACADEMIK). Multiple logistic regression models were used to identify the risk factors for AEs.\",\"PeriodicalId\":73480,\"journal\":{\"name\":\"International journal of statistics in medical research\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of statistics in medical research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.6000/1929-6029.2020.09.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of statistics in medical research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6000/1929-6029.2020.09.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adverse Event Risk Assessment on Patients Receiving Combination Antiretroviral Therapy in South Africa
Methods: This prospective cohort study consisted of 368 adult black HIV positive patients receiving cART at the Grey’s Hospital, KwaZulu-Natal, South Africa. Patients were intensively monitored for incidence of adverse events and the factors associated with their development, under the Antiretroviral Cohort Adverse Event Monitoring in KwaZulu-Natal (ACADEMIK). Multiple logistic regression models were used to identify the risk factors for AEs.
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