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Predictors of health-related quality of life among military HIV-infected individuals.

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Title: Predictors of health-related quality of life among military HIV-infected individuals.
Authors: Emuren, Leonard (AUTHOR), Welles, Seth (AUTHOR), Macalino, Grace (AUTHOR), Evans, Alison A. (AUTHOR), Polansky, Marcia (AUTHOR), Ganesan, Anuradha (AUTHOR), Colombo, Rhonda E. (AUTHOR), Agan, Brian K. (AUTHOR), the Infectious Disease Clinical Research Program HIV Working Group (AUTHOR), De Leon, S. (AUTHOR), Merritt, S. (AUTHOR), Merritt, T. (AUTHOR), Okulicz, J. (AUTHOR), Sjoberg, T. (AUTHOR), Baker, C. (AUTHOR), Chambers, S. (AUTHOR), Colombo, R. (AUTHOR), Ferguson, T. (AUTHOR), Kunz, A. (AUTHOR), Schofield, C. (AUTHOR)
Source: Quality of Life Research. Jul2020, Vol. 29 Issue 7, p1855-1869. 15p. 5 Charts, 2 Graphs.
Subjects: Quality of life, Highly active antiretroviral therapy, Random effects model, Military life, Treatment effectiveness
Abstract: 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 (β = - 2.90), CD4 count 200-499 cells/mm3 (β = - 0.80), and mental comorbidity (β = - 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 (β = - 2.53), mental comorbidity (β = - 4.58), and being African American (β = 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. [ABSTRACT FROM AUTHOR]
Copyright of Quality of Life Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Predictors of health-related quality of life among military HIV-infected individuals.
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Quality+of+Life+Research%22&quot;&gt;Quality of Life Research&lt;/searchLink&gt;. Jul2020, Vol. 29 Issue 7, p1855-1869. 15p. 5 Charts, 2 Graphs.
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  Data: &lt;bold&gt;Objectives: &lt;/bold&gt;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.&lt;bold&gt;Methods: &lt;/bold&gt;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-na&#239;ve, 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).&lt;bold&gt;Results: &lt;/bold&gt;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 &lt; 200 cells/mm3 (β = - 2.90), CD4 count 200-499&#160;cells/mm3 (β = - 0.80), and mental comorbidity (β = - 3.23). Others were medical comorbidity, AIDS-defining illness, being on NPI-HAART, HAART-na&#239;ve, age, and rank. Those with medical comorbidities experienced yearly improvement in PCS. Predictors of MCS were CD4 count &lt; 200&#160;cells/mm3 (β = - 2.53), mental comorbidity (β = - 4.58), and being African American (β = 2.59).&lt;bold&gt;Conclusion: &lt;/bold&gt;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. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Quality of Life Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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