Survival of HIV/AIDS patients treated under ART follow-up at the University hospital, northwest Ethiopia.
10.1186/s12199-021-00976-8
- Author:
Zinabu TEKA
1
;
Kasim MOHAMMED
1
;
Gashu WORKNEH
1
;
Zemichael GIZAW
2
Author Information
1. Department of Statistics, College of Natural and Computational Sciences, University of Gondar, Gondar, Ethiopia.
2. Department of Environment and Occupational Health and Safety, Institute of Public Health College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. zemichael12@gmail.com.
- Publication Type:Journal Article
- Keywords:
ART;
Cox proportional hazards model;
Gondar University Teaching Hospital;
HIV/AIDS;
Survival analysis
- MeSH:
Adolescent;
Adult;
Aged;
Aged, 80 and over;
Anti-HIV Agents/therapeutic use*;
Cohort Studies;
Ethiopia/epidemiology*;
Female;
HIV Infections/mortality*;
Hospitals;
Humans;
Male;
Middle Aged;
Proportional Hazards Models;
Retrospective Studies;
Survival Rate;
Young Adult
- From:Environmental Health and Preventive Medicine
2021;26(1):52-52
- CountryJapan
- Language:English
-
Abstract:
INTRODUCTION:The survival of HIV/AIDS patients on antiretroviral therapy (ART) is determined by a number of factors, including economic, demographic, behavioral, and institutional factors. Understanding the survival time and its trend is crucial to developing policies that will result in changes. The aim of this study was to compare the survival estimates of different subgroups and look into the predictors of HIV/AIDS patient survival.
METHODS:A retrospective cohort study of HIV/AIDS patients receiving ART at the University of Gondar teaching hospital was carried out. To compare the survival of various groups, a Kaplan-Meier survival analysis was performed. The Cox proportional hazards model was used to identify factors influencing HIV/AIDS patient survival rates.
RESULTS:In the current study, 5.91% of the 354 HIV/AIDS patients under ART follow-up were uncensored or died. Age (HR = 1.051) and lack of formal education (HR = 5.032) were associated with lower survival rate, whereas family size of one to two (HR = 0.167), three to four (HR = 0.120), no alcoholic consumption (HR = 0.294), no smoking and chat use (HR = 0.101), baseline weight (HR = 0.920), current weight (HR = 0.928), baseline CD4 cell count (HR = 0.990), baseline hemoglobin (HR = 0.800), and no TB diseases were associated with longer survival rate.
CONCLUSIONS:Fewer deaths were reported in a study area due to high patient adherence, compared to previous similar studies. Age, educational status, family size, alcohol consumption, tobacco and chat usage, baseline and current weight, baseline CD4 cell count, baseline hemoglobin, and tuberculosis (TB) diseases were all significant predictors of survival of HIV/AIDS patients.
