Treatment outcomes of standardized injectable shorter regimen for multi-drugs resistant tuberculosis in Ethiopia: a retrospective cohort study
Bibliographic record
Abstract
BACKGROUND: The injectable shorter multi-drug resistant tuberculosis (MDR-TB) regimen, has been reported to be less costly and more effective in the treatment of MDR-TB compared to the longer regimen. Ethiopia introduced the injectable shorter regimen (SR) in April 2018 following official recommendation by the World Health Organization (WHO) in 2016. While the WHO recommendation was based on evidence coming from extensive programmatic studies in some Asian and African countries, there is paucity of information on patient outcomes in the Ethiopian context. Thus, we aimed to assess the treatment outcomes and identify factors associated with the outcomes of MDR-TB patients on injectable SR. METHODS: A multi-center facility-based retrospective cohort study was conducted in Ethiopia on 245 MDR-TB patients who were treated between April 2018 and March 2020. Data were collected from patients' medical records and analyzed using SPSS version 25. Descriptive statistics was used to summarize the results while inferential analysis was employed to investigate predictors of treatment outcomes and survival status. RESULTS: A total of 245 patients were included in the study, with 129 (52.7%) of them being female. Median age of the patients was 27 (IQR: 21-33). The overall treatment success rate was 87.8%, with 156 (63.7%) cured and 59 (24.1%) patients who completed treatment. The unfavorable outcomes accounted for 12.2%, with 16 (6.5%) treatment failure, 8 (3.3%) death and 6 (2.4%) lost to follow up. Majority of the unfavorable outcomes occurred during the early phase of therapy, with median time to event of 1.8 months (95% CI: 0.99-2.69). The use of khat (a green leafy shrub abused for its stimulant like effect) and being diagnosed with MDR-TB than rifampicin resistant only, were identified as independent factors associated with unfavorable outcomes. CONCLUSION: The injectable SR for MDR-TB was found to have positive treatment outcomes in the context of programmatic management in Ethiopia.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".