Serum Concentration at 24 h With Intensive Beta‐Lactam Therapy in Sepsis and Septic Shock: A Prospective Study
Bibliographic record
Abstract
Introduction: Early administration of appropriate antibiotics has been shown to be among the most effective interventions to reduce mortality in septic patients. We evaluated the attainment of efficacy and safety targets at 24 h associated with the use of intensive beta‐lactam therapy in patients admitted to the intensive care unit for sepsis. Methods: This was a prospective study with patients who received beta‐lactams for sepsis or septic shock between February 2023 and September 2023. The antibiotic dose was unadjusted for renal function and administered by a loading dose followed by extended infusions, according to local practices. Blood samples were taken at the trough 24 h after the start of the beta‐lactam to obtain serum levels. These levels were compared to efficacy and innocuity thresholds found in the literature. Results: Among 36 included patients, all of them achieved serum concentrations above the minimum inhibitory concentration (MIC) for 100% of the therapeutic interval and 75% of them achieved serum concentrations above four times the MIC for 100% of the therapeutic interval. The predefined toxicity thresholds were reached by 8.3% of patients. Renal impairment was the factor most associated with the achievement of higher serum levels. Conclusion: Nonrenally adjusted doses of beta‐lactams administered by extended infusion showed good attainment of effective concentrations and few toxic concentrations in critically ill patients with sepsis or septic shock. Further studies are needed to better define the association between toxic concentrations and toxicity manifestations.
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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 | 0.002 |
| 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 | 0.000 |
| 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".