Pentastarch 10% (250 kDa/0.45) is an independent risk factor of acute kidney injury following cardiac surgery*
Bibliographic record
Abstract
UNLABELLED: OBJECTIVE, DESIGN AND PATIENTS: The risk of acute kidney injury (AKI) associated with hydroxyethyl starch may be limited to higher molecular weight agents. We retrospectively evaluated the risk of AKI using pentastarch 10% (250 kDa, 0.45) in a random cohort of 563 patients operated for a cardiac surgery at a university hospital. MEASURES: We assessed previously identified preoperative, perioperative, and postoperative risk factors, and the volume of pentastarch given until the end of the first postoperative day. We defined AKI by a 50% rise in serum creatinine within 4 days after surgery. Different propensity adjustment methods were used to further assess the selection bias. RESULTS: Fifty-four (10%) patients developed AKI. Risk factors of AKI were age, female gender, preoperative creatinine clearance, hypertension, diuretic use, left ventricular ejection fraction, valvular surgery, duration of extracorporeal circulation, duration and dose of postoperative vasopressor support, and the number of red blood cells and fresh frozen plasma transfusions. Patients with AKI received 16 +/- 9 mL/kg of pentastarch as opposed to 10 +/- 7 mL/kg in controls (p < 0.001). Pentastarch remained independently predictive of AKI, with an adjusted odds ratio per mL/kg of 1.08 (95% confidence interval 1.04-1.12, p = 0.001). This risk was dose-dependent, and the optimal cutoff volume predicting AKI was 14 mL/kg. Different propensity adjustment methods were tested, and pentastarch as a risk factor of AKI was identified. CONCLUSIONS: This study identified a dose-dependent risk of AKI with pentastarch following cardiac surgery, given until the end of the first postoperative day.
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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 | 0.000 | 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) | 0.001 | 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".