Abstract

ObjectiveTo 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.DesignRetrospective, 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.Results211 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).ConclusionMost 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.

Highlights

  • The quality of life and life expectancy of people living with HIV infection (PLHIV) are similar to that of the general population due to effective antiretroviral therapy (ART) [1]

  • We assess the prevalence of non-AIDS co-morbidities (NACs) and predictors of adverse health outcomes for HIV patients attending a publicly funded ambulatory care clinic

  • Predictors of poor health outcomes We identified five predictors of poor health outcomes for our HIV patients adjusting for appropriate confounders as per DAG (Table 2)

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Summary

Introduction

The quality of life and life expectancy of people living with HIV infection (PLHIV) are similar to that of the general population due to effective antiretroviral therapy (ART) [1]. Whilst ART-related co-morbidities such as lipodystrophy syndrome associated with first-generation. Australian PLHIV are managed by accredited general practitioners (S100 GPs) and hospital/clinic doctors; in our experience marginalised, complex patients (e.g. culturally and linguistically diverse (CALD), aboriginal/torres strait islander (ATSI) patients, those with complex mental health, substance use, socioeconomic problems, or those without federally-funded healthcare (Medicare) may not see GPs due to cost, confidentiality concerns, and lack of appointments or multidisciplinary/multicultural support. We assess the prevalence of NACs and predictors of adverse health outcomes for HIV patients attending a publicly funded ambulatory care clinic

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