The estimation of long and short term survival time and associated factors of HIV patients using mixture cure rate models

HIV is one of the deadliest epidemics and one of the most critical global public health issues. Some are susceptible to die among people living with HIV and some survive longer. The aim of the present study is to use mixture cure models to estimate factors affecting short- and long-term survival of...

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Bibliographic Details
Published in:BMC medical research methodology 2023-05, Vol.23 (1), p.123-123, Article 123
Main Authors: Ghobadi, Khadijeh Najafi, Roshanaei, Ghodratollah, Poorolajal, Jalal, Shakiba, Ebrahim, KHassi, Kaivan, Mahjub, Hossein
Format: Article
Language:English
Subjects:
Acquired immune deficiency syndrome
AIDS
Censorship
Cure fraction
Event history analysis
Frailty
HIV
HIV Infections - drug therapy
HIV patients
Human immunodeficiency virus
Humans
Immune system
Iran - epidemiology
Medical prognosis
Methods
Mixture cure frailty model
Mixture cure model
Models, Statistical
Prognosis
Statistical models
Statistics
Survival analysis
Tuberculosis
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Summary:HIV is one of the deadliest epidemics and one of the most critical global public health issues. Some are susceptible to die among people living with HIV and some survive longer. The aim of the present study is to use mixture cure models to estimate factors affecting short- and long-term survival of HIV patients. The total sample size was 2170 HIV-infected people referred to the disease counseling centers in Kermanshah Province, in the west of Iran, from 1998 to 2019. A Semiparametric PH mixture cure model and a mixture cure frailty model were fitted to the data. Also, a comparison between these two models was performed. Based on the results of the mixture cure frailty model, antiretroviral therapy, tuberculosis infection, history of imprisonment, and mode of HIV transmission influenced short-term survival time (p-value 
ISSN:1471-2288
1471-2288
DOI:10.1186/s12874-023-01949-x