Patient and Organizational Factors Associated With Delays in Antimicrobial Therapy for Septic Shock*
Bibliographic record
Abstract
OBJECTIVES: To identify clinical and organizational factors associated with delays in antimicrobial therapy for septic shock. DESIGN: In a retrospective cohort of critically ill patients with septic shock. SETTING: Twenty-four ICUs. PATIENTS: A total of 6,720 patients with septic shock. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Higher Acute Physiology Score (+24 min per 5 Acute Physiology Score points; p < 0.0001); older age (+16 min per 10 yr; p < 0.0001); presence of comorbidities (+35 min; p < 0.0001); hospital length of stay before hypotension: less than 3 days (+50 min; p < 0.0001), between 3 and 7 days (+121 min; p < 0.0001), and longer than 7 days (+130 min; p < 0.0001); and a diagnosis of pneumonia (+45 min; p < 0.01) were associated with longer times to antimicrobial therapy. Two variables were associated with shorter times to antimicrobial therapy: community-acquired infections (-53 min; p < 0.001) and higher temperature (-15 min per 1°C; p < 0.0001). After adjusting for confounders, admissions to academic hospitals (+52 min; p< 0.05), and transfers from medical wards (medical vs surgical ward admission; +39 min; p < 0.05) had longer times to antimicrobial therapy. Admissions from the emergency department (emergency department vs surgical ward admission, -47 min; p< 0.001) had shorter times to antimicrobial therapy. CONCLUSIONS: We identified clinical and organizational factors that can serve as evidence-based targets for future quality-improvement initiatives on antimicrobial timing. The observation that academic hospitals are more likely to delay antimicrobials should be further explored in future trials.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".