Early Acute Kidney Injury Following Major Burns
Bibliographic record
Abstract
Acute kidney injury (AKI) early after a major burn has not been widely studied. Our purpose was to evaluate the prevalence of and risk factors for early AKI and the effect of early AKI on outcome. Retrospective cohort study of adults with burns ≥20% TBSA admitted between November 24, 2015 and July 1, 2019. "Early AKI" occurring within 7 days of injury was identified using urine output and serum creatinine Kidney Disease International Global Outcome criteria. Multivariate regression models were developed for development of early AKI, development of AKI on day 0 or 1 postburn ("very early AKI"), and for in-hospital death. Among 85 patients, 62.4% developed early AKI, of which 26% had stage 3 AKI. Renal replacement therapy was required in 64% of stage 3 patients by day 7. Patients with early AKI were significantly older [50 (40.5-61) vs 37.5 (27.2-46.8) years, P < .001], and a significantly greater proportion was intubated in the first 24 hours postburn (90.6 vs 59.4%, P = .001). Resuscitation with high-dose vitamin C (HDVC) was independently associated with more frequent early AKI. Older age was significantly associated and HDVC was closely associated with increased very early AKI. In-hospital mortality was 37.7% for patients with early AKI. Older age, larger burn size, and development of early stage 3 AKI were independently associated with increased in-hospital death. Early AKI is common and carries a poor prognosis for survival. Resuscitation involving HDVC appears to be related to a higher likelihood of early and possibly very early AKI.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".