Evidence map›Paper›PMID 29519243›Full record

ArticleAIDS research and therapy2018

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

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

Abstract read
In one paragraph

Article in AIDS research and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Definitions ofInternational journal of environmental research and public health · 2021
    Review
  4. Review
  5. The development of an HIV-specific complexity rating scale.International journal of STD & AIDS · 2019
    Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Derek J ChanAlbion Centre, South Eastern Sydney Local Health District, Sydney, NSW, 2010, Australia.
Virginia FurnerAlbion Centre, South Eastern Sydney Local Health District, Sydney, NSW, 2010, Australia.
Don E SmithAlbion Centre, South Eastern Sydney Local Health District, Sydney, NSW, 2010, Australia. don.smith@health.nsw.gov.au.
Mithilesh DronavalliAlbion Centre, South Eastern Sydney Local Health District, Sydney, NSW, 2010, Australia.
Rohan I BopageAlbion Centre, South Eastern Sydney Local Health District, Sydney, NSW, 2010, Australia.
Jeffrey J PostAlbion Centre, South Eastern Sydney Local Health District, Sydney, NSW, 2010, Australia.
Anjali K BhardwajUniversity of Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Acquired Immunodeficiency SyndromeAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountComorbidityHIVHIV InfectionsHumansMental HealthOutcome Assessment, Health CarePrognosisRisk FactorsViral Load

Identifiers

PMID29519243
PMCPMC5844086

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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 OpenQuestion graph.