Evidence map›Paper›PMID 31754370›Full record

ArticleConflict and health2019

What drives mortality among HIV patients in a conflict setting? A prospective cohort study in the Central African Republic.

Thomas Crellen, Charles Ssonko, Turid Piening, Marcel Mbeko Simaleko, Karen Geiger, M Ruby Siddiqui

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In one paragraph

Article in Conflict and health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing 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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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Thomas CrellenMédecins Sans Frontières Hollande, Avenue Barthelemy Boganda, PK4, Bangui, BP 1793 Central African Republic.ORCID 0000-0003-2934-1063
Charles Ssonko3Médecins Sans Frontières, The Manson Unit, Chancery Exchange, 10 Furnival Street, London, EC4A 1AB UK.
Turid PieningMédecins Sans Frontières, Am Köllnischen Park 1, 10179 Berlin, Germany.
Marcel Mbeko SimalekoMinistre de la Santé Publique et de la Population, Bangui, BP 883 Central African Republic.
Karen GeigerMédecins Sans Frontières Hollande, Avenue Barthelemy Boganda, PK4, Bangui, BP 1793 Central African Republic.
M Ruby Siddiqui3Médecins Sans Frontières, The Manson Unit, Chancery Exchange, 10 Furnival Street, London, EC4A 1AB UK.

Funding

Medical Research Council MR/K006924/1
6 · The paper itself

Abstract

backgroundProvision of antiretroviral therapy (ART) during conflict settings is rarely attempted and little is known about the expected patterns of mortality. The Central African Republic (CAR) continues to have a low coverage of ART despite an estimated 110,000 people living with HIV and 5000 AIDS-related deaths in 2018. We present results from a cohort in Zemio, Haut-Mboumou prefecture. This region had the highest prevalence of HIV nationally (14.8% in a 2010 survey), and was subject to repeated attacks by armed groups on civilians during the observed period.

methodsConflict from armed groups can impact cohort mortality rates i) directly if HIV patients are victims of armed conflict, or ii) indirectly if population displacement or fear of movement reduces access to ART. Using monthly counts of civilian deaths, injuries and abductions, we estimated the impact of the conflict on patient mortality. We also determined patient-level risk factors for mortality and how the risk of mortality varies with time spent in the cohort. Model-fitting was performed in a Bayesian framework, using logistic regression with terms accounting for temporal autocorrelation.

resultsPatients were recruited and observed in the HIV treatment program from October 2011 to May 2017. Overall 1631 patients were enrolled and 1628 were included in the analysis giving 48,430 person-months at risk and 145 deaths. The crude mortality rate after 12 months was 0.92 (95% CI 0.90, 0.93). Our model showed that patient mortality did not increase during periods of heightened conflict; the odds ratios (OR) 95% credible interval (CrI) for i) civilian fatalities and injuries, and ii) civilian abductions on patient mortality both spanned unity. The risk of mortality for individual patients was highest in the second month after entering the cohort, and declined seven-fold over the first 12 months. Male sex was associated with a higher mortality (odds ratio 1.70 [95% CrI 1.20, 2.33]) along with the severity of opportunistic infections (OIs) at baseline (OR 2.52; 95% CrI 2.01, 3.23 for stage 2 OIs compared with stage 1).

conclusionsOur results show that chronic conflict did not appear to adversely affect rates of mortality in this cohort, and that mortality was driven predominantly by patient-specific risk factors. The risk of mortality and recovery of CD4 T-cell counts observed in this conflict setting are comparable to those in stable resource poor settings, suggesting that conflict should not be a barrier in access to ART.

Indexed as

Antiretroviral therapyCentral African RepublicCohort studyConflict settingSurvival analysis

Identifiers

PMID31754370
PMCPMC6854658

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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.