Microbiologic outcomes of ceftazidime‐avibactam dosing in patients with sepsis utilizing renal replacement therapies
Bibliographic record
Abstract
INTRODUCTION: The suggested dose of ceftazidime-avibactam (CEF/AVI) in patient with multidrug resistant organisms and utilizing renal replacement therapies (RRTs) is not validated in clinical studies. The objective of this study was to evaluate the microbiologic cure of bacteremia and pneumonia using the recommended CEF/AVI dosing in patients utilizing RRT. METHODS: A retrospective observational study conducted at our institution between September 15, 2018 and March 15, 2022. The primary end point was to determine the microbiologic cure. The secondary end points were the clinical cure, 30-day recurrence, 30-day all cause mortality. RESULTS: Fifty-six patients met the inclusion criteria, 36 (64.3%) were males, the median age was 69 (59.5-79.3) years, and the median weight was 69 (60-83.8) kg. Pneumonia represented 34 (60.7%) of infections. Microbiologic cure was achieved in 32 (57%) subjects. However, clinical cure was achieved in 23 (71.9%) patients in the microbiologic cure group versus 12 (50%) in the microbiologic failure group (p = 0.094). The 30-day recurrence occurred in 2 (6.3%) patients in the microbiologic cure group versus 3 (12.5%) in the microbiologic failure group (p = 0.673). Further, the 30-day all-cause mortality was 18 (56.3%) versus 10 (41.7%) in both groups respectively (p = 0.28). The most used dose in patients utilizing continuous veno-venous hemofiltration (CVVH) was 1.25 g q8h, while the dose was 1.25 g q24h in those who utilized intermittent hemodialysis (IHD). The multivariate logistic regression indicated that bacteremia (OR 41.5 [3.77-46]), Enterobacterales (OR 5.4 [1.04-27.9]), and the drug daily dose (OR 2.33 [1.15-4.72]) were independently associated with microbiologic cure. CONCLUSION: Microbiologic cure of ceftazidime-avibactam in patient utilizing CVVH and IHD is dependent on bacteremia diagnosis, the drug daily dose, and bacterial species. These findings need to be replicated in a larger prospective study, with no recommendations in those utilizing RRT.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".