Evidence map›Paper›PMID 42620271›Full record

ArticleResearch square2026

Distinct acute and chronic brain health phenotypes among people living with HIV in a Ugandan clinical cohort: a comorbidity network analysis.

Joseph Mwaka, Raha M Dastgheyb, Conrad Sserunjogi, Jesca Nataliya, Ronald Mulebeke, Yvonne Karamagi, Leah H Rubin

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In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Joseph MwakaMildmay Research Centre Uganda.
Raha M DastgheybJohns Hopkins University.
Conrad SserunjogiMildmay Research Centre Uganda.
Jesca NataliyaMildmay Research Centre Uganda.
Ronald MulebekeMildmay Research Centre Uganda.
Yvonne KaramagiMildmay Research Centre Uganda.
Leah H RubinJohns Hopkins University.

Funding

Therapeutic CoreP30MH075673 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Leah Helane Rubin · 2006 to 2026
$33.2M
Mental Health and Cognition in HIV Infection in Rakai UgandaR01MH120693 · NIMH · JOHNS HOPKINS UNIVERSITY · PI PAUL, ROBERT HARRIS, RUBIN, LEAH HELANE · 2019 to 2023
$2.9M
NIMH NIH HHS P30 MH075673NIMH NIH HHS R01 MH120693
6 · The paper itself

Abstract

Background: Individual brain health conditions among people living with HIV in sub-Saharan Africa are increasingly well documented, but the co-occurrence of comorbidity and multimorbidity across distinct neurological and psychiatric conditions remains poorly characterized in this setting. We examined the co-occurrence structure of brain health conditions in a specialist HIV clinical cohort in Uganda. Methods: We analyzed 1,137 ICD-10-coded records from 581 patients in a specialist HIV neuropsychiatric cohort in Kampala (2017 to April 2026). All ICD-10 codes were classified, based on expert clinical consultation, into eight brain health domains and a two-level phenotype (acute versus chronic). Pairwise cooccurrence among domains with at least ten patients was tested using phi coefficients with bootstrap confidence intervals and Benjamini-Hochberg correction; latent class analysis was a pre-specified sensitivity analysis. Results: Of 573 classifiable patients, 476 (83.1%) carried a single brain health domain and only 12 (2.1%) carried diagnoses from both the acute and chronic phenotypes. Depression, bipolar and psychosis spectra co-aggregated (phi 0.11 to 0.25), while opportunistic CNS infection was mutually exclusive with every chronic domain (phi as low as -0.734). Cognitive impairment showed no significant association with major depressive disorder (12 patients with both domains; phi - 0.064, q = 0.203). Latent class analysis independently recovered a multimorbid chronic phenotype (24.6% of patients). Conclusions: Brain health conditions in this cohort partition into two clearly separated phenotypes: an acute opportunistic-infection phenotype and a chronic phenotype in which depressive, bipolar and psychotic presentations co-aggregate. Cognitive impairment and major depressive disorder, a comorbidity widely assumed to be common in HIV, showed no significant association in this cohort. Precise, clinically grounded classification of ICD-10 diagnoses is important for valid comorbidity research in HIV neuropsychiatry.

Indexed as

administrative databrain healthcomorbidityHIVICD-10latent class analysismultimorbidityneurocognitive impairmentsub-Saharan AfricaUganda

Identifiers

PMID42620271
PMCPMC13484437

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.