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Predictors of health-related quality of life among military HIV-infected individuals.
Emuren, Leonard; Welles, Seth; Macalino, Grace; Evans, Alison A; Polansky, Marcia; Ganesan, Anuradha; Colombo, Rhonda E; Agan, Brian K.
Afiliação
  • Emuren L; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
  • Welles S; Department of Pediatrics, Eastern Virginia Medical School, Norfolk, VA, USA.
  • Macalino G; Children's Hospital of the King's Daughters, 601 Children's Lane, Norfolk, VA, USA.
  • Evans AA; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
  • Polansky M; Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
  • Ganesan A; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA.
  • Colombo RE; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
  • Agan BK; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Qual Life Res ; 29(7): 1855-1869, 2020 Jul.
Article em En | MEDLINE | ID: mdl-32076926
OBJECTIVES: To determine long-term predictors of health-related quality of life (HRQOL) and evaluate the treatment effect of highly active antiretroviral therapy (HAART) on HRQOL in the US Military HIV Natural History Study (NHS) cohort. METHODS: Participants were a nested cohort of the NHS who responded to the Rand Short Form 36 questionnaire administered from 2006 to 2010. Physical component summary scores (PCS) and mental component summary scores (MCS) were computed using standard algorithms. HAART-status was categorized as non-protease inhibitor-based (NPI-HAART), protease inhibitor-based (PI-HAART), HAART-naïve, or off-HAART. Mixed linear random effects models were used to estimate changes in PCS and MCS over time for treatment and covariates (including CD4 count, HIV viral load, medical and mental comorbidities). RESULTS: Eight hundred and twelve participants met the inclusion criteria. There was no difference in PCS or MCS between those on PI-HAART compared to NPI-HAART. Significant predictors of PCS were CD4 count < 200 cells/mm3 (ß = - 2.90), CD4 count 200-499 cells/mm3 (ß = - 0.80), and mental comorbidity (ß = - 3.23). Others were medical comorbidity, AIDS-defining illness, being on NPI-HAART, HAART-naïve, age, and rank. Those with medical comorbidities experienced yearly improvement in PCS. Predictors of MCS were CD4 count < 200 cells/mm3 (ß = - 2.53), mental comorbidity (ß = - 4.58), and being African American (ß = 2.59). CONCLUSION: HRQOL was significantly affected by low CD4 count, medical and mental comorbidities. Addressing these modifiable factors would be expected to improve the physical and mental HRQOL of the cohort. Our study did not find any treatment benefit of NPI-HAART over PI-HAART on HRQOL in the long term.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Infecções por HIV / Militares Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Infecções por HIV / Militares Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article