Joint Modeling of Longitudinal Outcome and Competing Risks: Application to HIV/AIDS Data.

Background: Tuberculosis (TB) and human immunodeficiency virus (HIV) are major public health challenges globally, and the number of TB infections and death caused by HIV are high because of HIV/ TB co-infection. On the other hand, CD4 count plays a significant role in TB/HIV co-infections. We used a...

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Publicado en:Journal of Research in Health Sciences Vol. 23; no. 1; pp. 1 - 8
Autores principales: Ghobadi, Khadijeh Najafi, Mahjub, Hossein, Poorolajal, Jalal, Shakiba, Ebrahim, Khassi, Kaivan, Roshanaei, Ghodratollah
Formato: equations & formulas research tables/charts Journal Article
Publicado: Hamadan University of Medical Sciences, School of Public Health Spring2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Spring2023
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      pub: Hamadan University of Medical Sciences, School of Public Health
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        10.34172/jrhs.2023.106
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        atl: Joint Modeling of Longitudinal Outcome and Competing Risks: Application to HIV/AIDS Data.
      aug:
        au:
          Ghobadi, Khadijeh Najafi
          Mahjub, Hossein
          Poorolajal, Jalal
          Shakiba, Ebrahim
          Khassi, Kaivan
          Roshanaei, Ghodratollah
        affil: Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
      sug:
        subj:
          HIV Infections Complications
          Acquired Immunodeficiency Syndrome Complications
          Tuberculosis Risk Factors
          Risk Assessment
          HIV Infections Mortality
          T Lymphocytes
          Human
          Retrospective Design
          Prospective Studies
          Iran
          Funding Source
          Models, Statistical
          HIV Infections Drug Therapy
          Anti-Retroviral Agents Therapeutic Use
      ab: Background: Tuberculosis (TB) and human immunodeficiency virus (HIV) are major public health challenges globally, and the number of TB infections and death caused by HIV are high because of HIV/ TB co-infection. On the other hand, CD4 count plays a significant role in TB/HIV co-infections. We used a joint model of longitudinal outcomes and competing risks to identify the potential risk factors and the effect of CD4 cells on TB infection and death caused by HIV in HIV-infected patients. Study Design: This was a retrospective cohort study. Methods: The current study was performed on 1436 HIV + patients referred to Behavioral Diseases Counseling Centers in Kermanshah Province during 1998-2019. In this study, joint modeling was used to identify the effect of potential risk factors and CD4 cells on TB and death caused by HIV. Results: The results demonstrated that the decreasing CD4 cell count was significantly associated with an increased risk of death, while it had no significant relation with the risk of TB. In addition, patients with TB were at a higher risk of death. Based on the results, a significant relationship was found between CD4 count and sex, marital status, education level, antiretroviral therapy (ART), time, and the interaction between time and ART. Further, people infected with HIV through sexual relationships were at higher risk of TB, while those with a history of imprisonment who received ART or were infected with HIV through drug injection had a lower risk of TB. Conclusion: The findings revealed that the decreasing CD4 count had a significant association with an increased risk of death caused by HIV. However, it was not significantly related to the risk of TB. Finally, patients with TB were at higher risk of death caused by HIV.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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