The Cost-Effectiveness of Cefepime plus Metronidazole versus Imipenem/Cilastatin in the Treatment of Complicated Intra-Abdominal Infection
Bibliographic record
Abstract
BACKGROUND: Our objective was to compare the economic benefits of cefepime plus metronidazole with those of imipenem/cilastatin in the treatment of complicated intra-abdominal infections. METHODS: We used a retrospective analysis of clinical outcomes and health resource utilization data collected during a randomized, double-blind, multi-center clinical trial. Seventeen university-affiliated hospitals in the United States and Canada participated, as did 323 patients with complicated intra-abdominal infections. Decision analysis was conducted using a decision node of cefepime vs. imipenem, and chance nodes that included an Acute Physiology and Chronic Health Evaluation (APACHE) II score of #15 versus .15; a need for posttreatment surgical procedures; and clinical outcomes. Effectiveness of treatment was measured by differences in the length and cost of hospital stays, the number and cost of surgical procedures after treatment, cure rates, and the cost of antibiotics. Also evalulated were the incremental costs of cure (i.e., the costs of additional cures). RESULTS: Comparing cefepime plus metronidazole with imipenem/cilastatin, the expected cost of patient care was $8,218 versus $10,414, respectively, and the cost-effectiveness ratio per cure was $10,058 versus $13,685. For severely ill patients (APACHE II score .15), the expected cost was $12,962 versus $23,153, and the cost-effectiveness ratio per cure was $15,321 versus $64,313. CONCLUSIONS: Cefepime plus metronidazole was more cost-effective than imipenem/cilastatin in the treatment of complicated intra-abdominal infections, primarily because of fewer post-treatment surgical procedures and shorter hospital stays. The primary advantage accrued to severely ill patients who had an APACHE II score .15.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".