Evidence map›Paper›PMID 32627351›Full record

ArticleHIV medicine2020

Incidence rate, predictors and outcomes of interruption of HIV care: nationwide results from the Belgian HIV cohort.

D Van Beckhoven, E Florence, S De Wit, C Wyndham-Thomas, A Sasse, H Van Oyen, J Macq, Belgian Research on AIDS, HIV Consortium (BREACH)

Abstract read
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Article in HIV medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

D Van BeckhovenSciensano, Brussels, Belgium.ORCID 0000-0003-0821-2756
E FlorenceInstitute of Tropical Medicine, Antwerp, Belgium.ORCID 0000-0002-7004-9120
S De WitSaint-Pierre University Hospital, Université Libre de Bruxelles, Brussels, Belgium.
C Wyndham-ThomasSciensano, Brussels, Belgium.
A SasseSciensano, Brussels, Belgium.
H Van OyenSciensano, Brussels, Belgium.ORCID 0000-0003-2119-4433
J MacqUniversité Catholique de Louvain, Brussels, Belgium.
Belgian Research on AIDS, HIV Consortium (BREACH)

Funding

National Institute for Sickness and Invalidity Insurance (INAMI/RIZIV)
6 · The paper itself

Abstract

objectivesWe aimed to study the incidence rate, predictors and outcomes of HIV care interruption (HCI) in Belgium.

methodsWe analysed data for adult patients with at least two HIV care records in the Belgian HIV cohort between 1 January 2007 and 31 December 2016. An HCI episode was defined as 1 year without an HIV care record. The HCI incidence rate was analysed using Poisson regression, return to HIV care using a cumulative incidence function with death as a competing risk, and viral load (VL) status upon return to HIV care using logistic regression.

resultsWe included 16 066 patients accounting for 78 625 person-years of follow-up. The incidence rate of HCI was 5.3/100 person-years [95% confidence interval (CI) 5.1-5.4/100 person-years]. The incidence of return to HIV care after HCI was estimated at 77.5% (95% CI 75.7-79.2%). Of those who returned to care, 43.7% had a VL ≤ 200 HIV-1 RNA copies/mL, suggesting care abroad or suboptimal care (without an HIV-related care record) in Belgium during the HCI, and 56.3% returned without controlled VL and were therefore considered as having experienced a real gap in HIV care; they represented 2.3/100 person-years of follow-up. Factors individually associated with HCI were no antiretroviral therapy (ART) uptake, lower age, injecting drug use, non-Belgian nationality, male gender, not being a man who has sex with men, a shorter time since HIV diagnosis, no high blood pressure and CD4 count < 350 cells/µL.

conclusionsThis study highlights the need to investigate return to care and viral status at return, to better understand HCI. Identified predictors can help health care workers to target patients at higher risk of HCI for awareness and support.

Indexed as

Drug MonitoringAdultAnti-HIV AgentsBelgiumCD4 Lymphocyte CountCohort StudiesFemaleHIV-1HIV InfectionsHumansIncidenceMaleMiddle AgedNo-Show PatientsPatient Acceptance of Health CareRisk FactorsAnti-HIV AgentsHIV careloss to follow-upmaintenancere-engagementretention

Identifiers

PMID32627351
PMCPMC7540395

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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.