ArticleAIDS (London, England)2025
Changes in multimorbidity burden and their impact on patient and healthcare outcomes in people with HIV over a 3-5-year period.
Article in AIDS (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Health-related quality of life among people with HIV at low-to-moderate risk for atherosclerotic cardiovascular disease in the REPRIEVE Trial.AIDS (London, England) · 2026Trial
- Distinct acute and chronic brain health phenotypes among people living with HIV in a Ugandan clinical cohort: a comorbidity network analysis.Research square · 2026Article
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Authors and funding
11 authors.
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Abstract
backgroundDespite increasing multimorbidity among people with HIV, its impact on health outcomes over time remains uncertain. We explored how distinct multimorbidity patterns affect a broad range of health outcomes over a 3-5-year period.
methodsPrincipal component analysis (PCA) was used to identify multimorbidity patterns at baseline. Burden z -scores were calculated for each individual/pattern at baseline and a follow-up visit, and the differences in scores over time were examined. Participants completed health assessments including questionnaires [physical/mental health (SF-36)], depressive symptoms (CES-D and PHQ-9, falls, frailty and healthcare utilization), cognitive testing and pain mannequins tests. Multivariable regression models assessed associations between changes in morbidity burden z -scores and health outcomes.
resultsSix multimorbidity patterns were identified in 1073 participants: " cardiovascular disease" (CVD) , " sexually transmitted infections" (STIs) , " metabolic" , " mental/joint" , " neurological" , and " cancer/other" . Subsequent analyses included 793 participants (median [interquartile range; IQR] age 53 [47-59] years; 86% male; 97% on ART) with follow up data. CVD and metabolic burden were associated with specialist appointments (CVD: β = 1.47; metabolic: β = 1.53, P < 0.01) and ED visits (CVD: β = 1.44; metabolic: β = 1.89, P < 0.01), mental/Joint and neurological burden with poorer physical and mental health, frailty and recurrent falls ( P < 0.01), and cancer/other burden with higher depressive scores (β = 3.28, P < 0.001), widespread pain (odds ratio, OR = 2.20, P < 0.001), and hospital visits (OR = 2.31, P < 0.001).
conclusionDistinct morbidity patterns differentially affected health outcomes and healthcare utilization over time, underscoring the need for targeted, integrated care to improve quality of life and address their complex needs.
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