Comparison of the treatment outcomes and identification of the risk factors associated with unfavorable outcomes among extra pulmonary and pulmonary tuberculosis patients under NTEP
BMC Infectious Diseases·
- DOI
- 10.1186/s12879-026-13544-8
- PMID
- 42286532
- PMCID
- —
- OpenAlex
- W7164381467
- Study type
- Journal article
- Publisher
- Springer Science and Business Media LLC
- Article type
- journal-article
- Integrity
- current
Why this research matters now
Documenting these outcome variations assists program administrators in refining case management strategies and prioritizing access to rapid microbiological verification and resistance screening tools.
Structured evidence summary
Research question
The investigation seeks to compare therapeutic success rates between pulmonary and extrapulmonary tuberculosis cases while determining which patient characteristics predict poor treatment endpoints.
Study design
A retrospective chart review was conducted utilizing multivariable binary logistic regression to evaluate associations between demographic/clinical variables and predefined treatment classifications.
Population and setting
Individuals aged eighteen and older receiving tuberculosis care through the national elimination initiative at a single district facility in India across a one-year timeframe.
Main findings
Patients with extrapulmonary disease experienced notably lower favorable outcome rates compared to those with pulmonary involvement. Regression modeling revealed that previous infection episodes and older age brackets correlated with increased probabilities of treatment failure or mortality. Elevated body mass index additionally predicted adverse results specifically within the extrapulmonary cohort.
Public-health relevance
Documenting these outcome variations assists program administrators in refining case management strategies and prioritizing access to rapid microbiological verification and resistance screening tools.
Important limitations
The reliance on archived clinical documentation introduces potential recording inconsistencies and precludes definitive causal attribution. Restricting the sample to one administrative region also constrains the broader applicability of the observed associations.
GIDS interpretation
This publication supplies descriptive baseline information regarding therapeutic trajectories and demographic correlates within a defined regional implementation framework, functioning as contextual reference material rather than an indicator of active monitoring trends.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 8 auditable classifier relationships to diseases, places, topics, and study design.