Related Experiment Video
Updated: Dec 23, 2025

Oral Combinational Antiretroviral Treatment in HIV-1 Infected Humanized Mice
Published on: October 6, 2022
[Survival time and related factors on HIV/AIDS patients in Guizhou province from 1995 to 2018]
1Institute of AIDS/STD/Dermatology Prevention and Treatment, Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, China.
Abstract:
Objective: To examine the survival time and related factors on HIV/AIDS patients in Guizhou province from 1995 to 2018. Methods: A retrospective cohort study was conducted to analyze the HIV/AIDS case from 1995 to 2018 in Guizhou province with data gathered from the "Chinese National Comprehensive HIV/AIDS Prevention and care Information system". Survival rate was calculated by life table and survival time was estimated by Kaplan-Meier. Related factors on survival time were analyzed by Cox regression model. Results: A total of 53 232 HIV/AIDS cases were included in the study, with the mortality rate as 8.53/100 person-years (14 210/166 679.18), median survival time as 10.20 (95%CI: 9.91-10.48) years, and survival rates of 1, 5, 10 and 20 years as 0.85, 0.68, 0.51, 0.36, 0.19 respectively. Results from the multivariate Cox regression analysis showed that factors as: being male (compared with females, aHR=0.757, 95%CI: 0.727-0.788), with antiviral treatment (ART) (compared with those without ART, aHR=0.173, 95%CI: 0.165-0.181), CD(4)<200 cells/μl[compared with CD(4)(+)T cells (CD(4)) ≥200 cells/μl, aHR=0.410, 95%CI: 0.387-0.435], age ≥45 (compared with age<45, aHR=1.506, 95%CI: 1.193-1.901), illiterate (compared with having high school education or above, aHR=0.904, 95%CI: 0.832-0.982), unmarried (compared with divorced or widowed, aHR=0.896, 95%CI: 0.848-0.946), through heterosexual transmission (compared with homosexual transmission, aHR=0.555, 95%CI: 0.487-0.632), ethnic minorities (compared with Hans, aHR=1.185, 95%CI: 1.114-1.262), and farmers/migrant workers (compared with domestic/unemployed,aHR=0.874, 95%CI: 0.834-0.916,) etc., were related to the survival time of HIV/AIDS, in Guizhou province. Conclusions: The mortality rate of HIV/AIDS in Guizhou province appeared relatively high, but with no obvious downward trend seen in the last years. Factors as being male, age ≥45, low education level, ethnic minorities, CD(4)<200 cells/μl were identified as related to the HIV/AIDS survival time. We would suggest that treatment and follow-up management programs should be strengthened to improve the quality of life among these patients.
Related Concept Videos
Comparing the Survival Analysis of Two or More Groups
Retrovirus Life Cycles
Assumptions of Survival Analysis
Cancer Survival Analysis
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...

