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Published in: AIDS Research and Therapy 1/2018

Open Access 01-12-2018 | Research

Non-AIDS complexity amongst patients living with HIV in Sydney: risk factors and health outcomes

Authors: Derek J. Chan, Virginia Furner, Don E. Smith, Mithilesh Dronavalli, Rohan I. Bopage, Jeffrey J. Post, Anjali K. Bhardwaj

Published in: AIDS Research and Therapy | Issue 1/2018

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Abstract

Objective

To assess the prevalence of non-AIDS co-morbidities (NACs) and predictors of adverse health outcomes amongst people living with HIV in order to identify health needs and potential gaps in patient management.

Design

Retrospective, non-consecutive medical record audit of patients attending a publicly funded HIV clinic in metropolitan Sydney analysed for predictors of adverse health outcomes. We developed a scoring system based on the validated Charlson score method for NACs, mental health and social issues and confounders were selected using directed acyclic graph theory under the principles of causal inference.

Results

211 patient files were audited non-consecutively over 6 weeks. 89.5% were male; 41.8% culturally and linguistically diverse and 4.1% were of Aboriginal/Torres Strait Islander origin. Half of patients had no general practitioner and 25% were ineligible for Medicare subsidised care. The most common NACs were: cardiovascular disease (25%), hepatic disease (21%), and endocrinopathies (20%). One-third of patients had clinical anxiety, one-third major depression and almost half of patients had a lifetime history of tobacco smoking. Five predictors of poor health outcomes were identified: (1) co-morbidity score was associated with hospitalisation (odds ratio, OR 1.58; 95% CI 1.01–2.46; p = 0.044); (2) mental health score was associated with hospitalisation (OR 1.79; 95% CI 1.22–2.62; p = 0.003) and poor adherence to ART (OR 2.34; 95% CI 1.52–3.59; p = 0.001); (3) social issues score was associated with genotypic resistance (OR 2.61; 95% CI 1.48–4.59; p = 0.001), co-morbidity score (OR 1.69; 95% CI 1.24–2.3; p = 0.001) and hospitalisation (OR 1.72; 95% CI 1.1–2.7; p = 0.018); (4) body mass index < 20 was associated with genotypic resistance (OR 6.25; 95% CI 1.49–26.24; p = 0.012); and (5) Medicare eligibility was associated with co-morbidity score (OR 2.21; 95% CI 1.24–3.95; p = 0.007).

Conclusion

Most HIV patients are healthy due to effective antiretroviral therapy; however, NACs and social/mental health issues are adding to patient complexity. The current findings underpin the need for multidisciplinary management beyond routine viral load and CD4 count monitoring.
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Metadata
Title
Non-AIDS complexity amongst patients living with HIV in Sydney: risk factors and health outcomes
Authors
Derek J. Chan
Virginia Furner
Don E. Smith
Mithilesh Dronavalli
Rohan I. Bopage
Jeffrey J. Post
Anjali K. Bhardwaj
Publication date
01-12-2018
Publisher
BioMed Central
Published in
AIDS Research and Therapy / Issue 1/2018
Electronic ISSN: 1742-6405
DOI
https://doi.org/10.1186/s12981-018-0193-z

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