{"title":"提格雷地区Mekelle总医院成年HIV患者Art随访后CD4计数进展:纵向数据分析方法","authors":"H. Meles, Haftom Temesgen, M. Alemayehu","doi":"10.2427/13234","DOIUrl":null,"url":null,"abstract":"\nBackground: The number of people receiving antiretroviral therapy (ART) in low- and middle-income countries continues to show encouraging growth, indicating that the global effort to scale up HIV treatment has exceeded 15 million people by the end of 2015. \nMethods: A retrospective cohort study, comprising of the quantitative method of data collection was conducted among randomly selected 210 adult ART users enrolled in the first 6 months of 2011 and followed up to mid-2016 which is a five year follow up. Data were analyzed using a linear mixed model to identify the determinant factors, which importantly incorporates the effect of factors over time. \nResults: Ninety-five (45%) were males and 115 (55%) were females. Composition of patients’ WHO clinical stage were; stage I (25 (11.8%)), stage II (30 (14.2%)), stage III (102 (48.8%)), and stage IV (52 (24.6%)). The mean CD4+ count at baseline was 218 cells. The progression of CD4+ count for males is lower than that of female over time (coef. =-0.0779, p-value=0.0062). There was a direct relationship between time in month and CD4+ count progression i.e., the CD4+ count progression of the adult HIV patients was increasing during the subsequent number of times measured or followed up under the ART clinic (coef. = 0.0435, p-value=0.0000). Patients with WHO stage II (coef. = -0.0982, p-value=0.0109) , stage III (coef. = -0.0884, p-value = 0.0010) and stage IV (coef. = 0.0859, p-value = 0.0095) had lower CD4+ count than the reference category WHO clinical stage I over time. \nConclusion: In conclusion, we found that the WHO clinical stage, Time, Weight, Gender and the Interaction effects of Weight with Time were significantly associated with the progression of CD4+ counts over time. \n","PeriodicalId":45811,"journal":{"name":"Epidemiology Biostatistics and Public Health","volume":"31 6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"CD4 Count Progression of Adult HIV Patients Under Art Follow Up At Mekelle General Hospital, Tigray Region: A Longitudinal Data Analysis Approach\",\"authors\":\"H. Meles, Haftom Temesgen, M. Alemayehu\",\"doi\":\"10.2427/13234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nBackground: The number of people receiving antiretroviral therapy (ART) in low- and middle-income countries continues to show encouraging growth, indicating that the global effort to scale up HIV treatment has exceeded 15 million people by the end of 2015. \\nMethods: A retrospective cohort study, comprising of the quantitative method of data collection was conducted among randomly selected 210 adult ART users enrolled in the first 6 months of 2011 and followed up to mid-2016 which is a five year follow up. Data were analyzed using a linear mixed model to identify the determinant factors, which importantly incorporates the effect of factors over time. \\nResults: Ninety-five (45%) were males and 115 (55%) were females. Composition of patients’ WHO clinical stage were; stage I (25 (11.8%)), stage II (30 (14.2%)), stage III (102 (48.8%)), and stage IV (52 (24.6%)). The mean CD4+ count at baseline was 218 cells. The progression of CD4+ count for males is lower than that of female over time (coef. =-0.0779, p-value=0.0062). There was a direct relationship between time in month and CD4+ count progression i.e., the CD4+ count progression of the adult HIV patients was increasing during the subsequent number of times measured or followed up under the ART clinic (coef. = 0.0435, p-value=0.0000). Patients with WHO stage II (coef. = -0.0982, p-value=0.0109) , stage III (coef. = -0.0884, p-value = 0.0010) and stage IV (coef. = 0.0859, p-value = 0.0095) had lower CD4+ count than the reference category WHO clinical stage I over time. \\nConclusion: In conclusion, we found that the WHO clinical stage, Time, Weight, Gender and the Interaction effects of Weight with Time were significantly associated with the progression of CD4+ counts over time. \\n\",\"PeriodicalId\":45811,\"journal\":{\"name\":\"Epidemiology Biostatistics and Public Health\",\"volume\":\"31 6 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Epidemiology Biostatistics and Public Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2427/13234\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Nursing\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiology Biostatistics and Public Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2427/13234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Nursing","Score":null,"Total":0}
CD4 Count Progression of Adult HIV Patients Under Art Follow Up At Mekelle General Hospital, Tigray Region: A Longitudinal Data Analysis Approach
Background: The number of people receiving antiretroviral therapy (ART) in low- and middle-income countries continues to show encouraging growth, indicating that the global effort to scale up HIV treatment has exceeded 15 million people by the end of 2015.
Methods: A retrospective cohort study, comprising of the quantitative method of data collection was conducted among randomly selected 210 adult ART users enrolled in the first 6 months of 2011 and followed up to mid-2016 which is a five year follow up. Data were analyzed using a linear mixed model to identify the determinant factors, which importantly incorporates the effect of factors over time.
Results: Ninety-five (45%) were males and 115 (55%) were females. Composition of patients’ WHO clinical stage were; stage I (25 (11.8%)), stage II (30 (14.2%)), stage III (102 (48.8%)), and stage IV (52 (24.6%)). The mean CD4+ count at baseline was 218 cells. The progression of CD4+ count for males is lower than that of female over time (coef. =-0.0779, p-value=0.0062). There was a direct relationship between time in month and CD4+ count progression i.e., the CD4+ count progression of the adult HIV patients was increasing during the subsequent number of times measured or followed up under the ART clinic (coef. = 0.0435, p-value=0.0000). Patients with WHO stage II (coef. = -0.0982, p-value=0.0109) , stage III (coef. = -0.0884, p-value = 0.0010) and stage IV (coef. = 0.0859, p-value = 0.0095) had lower CD4+ count than the reference category WHO clinical stage I over time.
Conclusion: In conclusion, we found that the WHO clinical stage, Time, Weight, Gender and the Interaction effects of Weight with Time were significantly associated with the progression of CD4+ counts over time.
期刊介绍:
Epidemiology, Biostatistics, and Public Health (EBPH) is a multidisciplinary journal that has two broad aims: -To support the international public health community with publications on health service research, health care management, health policy, and health economics. -To strengthen the evidences on effective preventive interventions. -To advance public health methods, including biostatistics and epidemiology. EBPH welcomes submissions on all public health issues (including topics like eHealth, big data, personalized prevention, epidemiology and risk factors of chronic and infectious diseases); on basic and applied research in epidemiology; and in biostatistics methodology. Primary studies, systematic reviews, and meta-analyses are all welcome, as are research protocols for observational and experimental studies. EBPH aims to be a cross-discipline, international forum for scientific integration and evidence-based policymaking, combining the methodological aspects of epidemiology, biostatistics, and public health research with their practical applications.