Clinical Features, Adverse Events and Treatment Outcomes of Multidrug/Rifampicin-resistant Tuberculosis in Children and Adolescents: An Eight-year Retrospective Cohort Study in Bandung, Indonesia
Bibliographic record
Abstract
BACKGROUND: Data on childhood and adolescent multidrug/rifampicin-resistant tuberculosis (MDR/RR-TB) in Indonesia are lacking. We aimed to assess clinical features, adverse events (AEs) and treatment outcomes of childhood and adolescent MDR/RR-TB. METHODS: A retrospective cohort study was performed in children and adolescents <18 years old treated for MDR/RR-TB at Hasan Sadikin General Hospital in Bandung, Indonesia, between June 2016 and March 2024. Multivariable logistic regression analyses were used to calculate adjusted odds ratios (aOR) for predictors of all-cause mortality. RESULTS: Among 84 included patients, 69 (82%) were adolescents 10-17 years of age, 54 (64%) were female, 54 (64%) were malnourished and 55 (65%) had culture-confirmed disease. Among 69 (82%) patients with known outcomes, 48 (70%) were successfully treated, 14 (20%) died (including 5 pretreatment deaths) and 7 (10%) were lost to follow-up (LTFU) (including 5 pretreatment LTFU). Predictors of all-cause mortality included shortness of breath on admission [aOR: 6.4, 95% confidence interval (CI): 1.3-49.1], high bacillary burden on Xpert MTB/RIF assay (aOR: 17.0, 95% CI: 1.6-260.5) and the presence of lung cavities on chest radiograph (aOR: 4.8, 95% CI: 1.1-23.3). Among 74 patients who initiated treatment, 39 (53%) had at least one grade 1-2 AE, and 4 (5%) had one grade 3-4 AE each, including hepatotoxicity, QT prolongation, hearing loss and rash/hyperpigmentation. CONCLUSION: Younger children were underrepresented among those treated for MDR/RR-TB, indicating reduced access to care. Severe AEs were uncommon during MDR/RR-TB treatment. Baseline indicators of extensive disease were associated with all-cause mortality. The high proportion of pre-treatment mortality and LTFU may reflect complex patient pathways limiting access to care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".