Drug-use patterns in an intensive care unit of a hospital in Iran: an observational prospective study
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: the aim of this study was to evaluate drug-use patterns, investigate the factors influencing patient outcome, and determine the cost of drugs utilized in the intensive care unit (ICU). METHODS: in an observational prospective study, drug prescriptions for 113 patients admitted to the ICU of a hospital in Iran were recorded. The cost of drugs in ICU and the entire hospital was also calculated. Descriptive analysis and logistic regression were used to present the results. KEY FINDINGS: the mean age of patients was 50.3 years (SD = 20.4). The average ICU stay was 6 days. The mean length of stay was significantly lower in surgical patients compared to medical patients (odds ratio (OR) = 0.91, 95% confidence interval (CI) 0.84-0.97). Mortality rate was significantly higher among medical patients (OR = 10.5, 95% CI 3.7-29.8). There was a significant positive association between the total number of prescribed drugs or antibiotics received by patients and mortality. Patients received an average of 8.2 drugs at admission, 10.1 drugs during the first 24h and an average of 14.6 drugs over their entire stay at the icu. among drug groups, antibiotics and sedatives were most ordered drugs in icu. CONCLUSIONS: antibiotics are responsible for the majority of ICU drug costs. Appropriate selection of antibiotics in terms of type, dose and duration of therapy could tremendously reduce the expenses in hospitals without negatively influencing the quality of healthcare.
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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 | 0.000 | 0.002 |
| 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 | 0.002 |
| 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 it