Prevention and Monitoring of Hepatotoxicity among Patients Receiving Antituberculosis Medications
Bibliographic record
Abstract
Antituberculosis therapy frequently causes hepatotoxicity. The study is to evaluate the appropriateness of liver function monitoring during antituberculosis therapy. Two hundred forty five patients treated with antituberculosis agents were included. Abnormal baseline liver function (LFT) was the most significant risk factor for developing hepatotoxicity during the therapy (adjusted OR 23.48; 95% CI: 9.74-56.61). However, the baseline aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels were only checked in 76.2% and 75.4% subjects in the hepatotoxic group; and even lower to 58.5% and 57.8% for the non-hepatotoxic group. Although smoking, severe drinking, age, gender and concurrent diseases were significant risk factors, the logistic regression showed that only abnormal baseline LFT (adjusted OR 2.21; 95% CI: 1.22-4.02) and age (adjusted OR 1.02; 95% CI: 1.01-1.04) were determinants of patients receiving follow-up liver function tests (LFTs). Effective strategies to improve the monitoring of liver function should be established to ensure patient safety.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".