February 16, 2026Open Access

Hierarchical Risk Profiles in Tuberculosis Treatment Outcomes: The Role of Drug Resistance, Age, and Socio-Economic Factors

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Discussion

Retrospective cohort study identifies predictors of treatment success in TB patients, suggesting critical socio-economic influences.

This study aims to explore the impact of drug resistance, age, and socio-economic factors on tuberculosis treatment outcomes.
Analyzed retrospective cohort of patients treated for pulmonary TB in Eastern Cape, South Africa
Treatment outcomes categorized as success versus unsuccessful
Predictors included age, gender, income, occupation, comorbidities, and drug resistance
Logistic regression estimated odds ratios and decision tree model identified risk profiles.
Logistic regression showed 86% accuracy, identifying drug susceptibility, age, income stability, and comorbidity as key predictors
Decision tree model had 65% accuracy but better detected unsuccessful outcomes
Hierarchy of risk: drug resistance status, age, income source, comorbidities
High-risk patients included those with drug-resistant TB, older age, low/no income, and coexisting conditions.

Ndamase et al. (2026) studied this question.

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