Aminoglycosides in Immunocompromised Critically Ill Patients With Bacterial Pneumonia and Septic Shock: A Post-Hoc Analysis of a Prospective Multicenter Multinational Cohort
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Bibliographic record
Abstract
BACKGROUND: The routine use of empiric combination therapy with aminoglycosides during critical illness is associated with uncertain benefit and increased risk of acute kidney injury. This study aimed to assess the benefits of aminoglycosides in immunocompromised patients with suspected bacterial pneumonia and sepsis. METHODS: Secondary analysis of a prospective multicenter study. Adult immunocompromised patients with suspected bacterial pneumonia and sepsis or septic shock were included. Primary outcome was hospital mortality. Secondary outcomes were needed for renal replacement therapy (RRT). Mortality was also assessed in neutropenic patients and in those with confirmed bacterial pneumonia. Results were further analyzed in a cohort matched on risk of receiving aminoglycosides combination. RESULTS: Five hundred thirty-five patients were included in this analysis, of whom 187 (35%) received aminoglycosides in addition to another antibiotic effective against gram-negative bacteria. Overall hospital mortality was 59.6% (58.3% vs. 60.3% in patients receiving and not receiving combination therapy; P = 0.71). Lack of association between mortality and aminoglycosides was confirmed after adjustment for confounders and center effect (adjusted OR 1.14 [0.69-1.89]) and in a propensity matched cohort (adjusted OR = 0.89 [0.49-1.61]). No association was found between aminoglycosides and need for RRT (adjusted OR = 0.83 [0.49-1.39], P = 0.477), nor between aminoglycoside use and outcome in neutropenic patients or in patients with confirmed bacterial pneumonia (adjusted OR 0.66 [0.23-1.85] and 1.25 [0.61-2.57], respectively). CONCLUSION: Aminoglycoside combination therapy was not associated with hospital mortality or need for renal replacement therapy in immunocompromised patients with pulmonary sepsis.
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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 | 0.000 |
| 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 | 0.000 |
| 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 it