Evidence mapPaperPMID 42074413Full record

ArticleInternational journal of environmental research and public health2026

Predictors of Treatment Outcomes Among HIV-Positive Patients with Drug-Resistant Tuberculosis in Rural Eastern Cape, South Africa: A Retrospective Cohort Study.

Thembile Zini, Urgent Tsuro, Lindiwe Modest Faye, Ncomeka Sineke, Monwabisi Faleni

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Article in International journal of environmental research and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Thembile ZiniSchool of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, Private Bag X1, Mthatha 5100, South Africa.
Urgent TsuroWSU TB Research Group, School of Pathology, Faculty of Medicine and Health Sciences, Walter Sisulu University, Private Bag X1, Mthatha 5100, South Africa.ORCID 0000-0001-7991-0610
Lindiwe Modest FayeWSU TB Research Group, School of Pathology, Faculty of Medicine and Health Sciences, Walter Sisulu University, Private Bag X1, Mthatha 5100, South Africa.ORCID 0000-0002-7308-4239
Ncomeka SinekeWSU TB Research Group, School of Pathology, Faculty of Medicine and Health Sciences, Walter Sisulu University, Private Bag X1, Mthatha 5100, South Africa.
Monwabisi FaleniSchool of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, Private Bag X1, Mthatha 5100, South Africa.ORCID 0009-0003-6292-1956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrug-resistant tuberculosis (DR-TB) remains a major public health challenge in South Africa, particularly in rural settings with high HIV co-infection rates. Understanding predictors of treatment response among people living with HIV is essential for improving clinical management and programmatic outcomes. This study aimed to identify socio-demographic and clinical predictors of treatment outcomes among HIV-positive individuals diagnosed with multidrug-resistant (MDR) and extensively drug-resistant tuberculosis (XDR-TB) in rural Eastern Cape Province, South Africa.

methodsA retrospective cohort study was conducted using routinely collected clinical records of DR-TB patients initiated on treatment between January 2020 and December 2024 at two public healthcare facilities. A total of 239 patients with complete treatment outcome data were included. Treatment outcomes were classified as favourable (cured or treatment completed) or unfavourable (death, treatment failure, or loss to follow-up). Descriptive statistics were used to summarise patient characteristics, while univariate and multivariable logistic regression analyses were performed to identify factors associated with treatment outcomes.

resultsMost participants were aged ≤ 39 years (58%), male (60%), unemployed (90%), and without income (80%). MDR-TB accounted for 40% of cases, rifampicin-resistant-TB (RR-TB) for 53%, and XDR-TB for 7.1%. Multivariable analysis showed that XDR-TB was the strongest independent predictor of unfavourable treatment outcome (AOR = 0.18; 95% CI: 0.06-0.58;

conclusionsThese findings highlight the dominant influence of resistance phenotype, particularly XDR-TB, on treatment prognosis among HIV-positive DR-TB patients in rural Eastern Cape. Integrating early resistance profiling, intensified clinical management of XDR-TB, and socioeconomic support mechanisms may improve treatment outcomes in high-burden rural settings.

Indexed as

Antitubercular AgentsHIV InfectionsTuberculosis, Multidrug-ResistantAdultCoinfectionFemaleHumansMaleMiddle AgedRetrospective StudiesRural PopulationSouth AfricaTreatment OutcomeYoung AdultAntitubercular Agentsdrug-resistant tuberculosisEastern CapeHIV co-infectionlogistic regressionMDR-TBpredictorspublic healthrural healthtreatment outcomesXDR-TB

Identifiers

PMID42074413
PMCPMC13115839

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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 Socratic graph.