Pre‐emptive vs. classic criteria for initiation of dialysis in critically ill patients with acute kidney injury (AKI) — A retrospective real‐world study
Bibliographic record
Abstract
INTRODUCTION: Guidelines recommend starting renal replacement therapy (RRT) in critically ill acute kidney injury (AKI) patients according to classic criteria for the initiation of dialysis (CCID). However, comparative data on the presence or absence of CCID in patients receiving continuous veno-venous hemodialysis (CVVHD) or intermittent hemodialysis (IHD) as the initial modality are scarce. METHODS: Altogether 733 critically ill AKI patients receiving CVVHD or IHD at the research hospital between 2010 and 2019 were screened for this real-world study. All patients on maintenance dialysis were excluded. Patient survival was studied in 662 patients and adverse renal outcomes in 375 surviving patients at 90 days follow-up. The adverse renal outcome was defined as RRT requirement and the secondary outcome was estimated glomerular filtration rate (eGFR) at 90 days follow-up. FINDINGS: Altogether 472 (71.3%) patients received CVVHD and 190 (28.7%) IHD, and CCID was present at the time of RRT initiation in 250 (37.8%). The CCID was independently associated with mortality in a multivariable logistic regression analysis (odds ratio [OR] 2.226, 95% confidence interval [CI] 1.455-3.407, p < 0.001) adjusted for age, sex, baseline eGFR, disease severity, RRT modality, hypertension, and diabetes. The presence of CCID at the start of RRT was not associated with adverse renal outcome (OR 0.548, 95% CI 0.230-1.305, p = 1.74) nor eGFR (β = 0.155, p = 0.066) at 90 days follow-up. However, starting RRT in the presence of CCID was independently associated with eGFR at 90 days follow-up in a multivariable ordinal regression analysis (β = 0.930, p = 0.018) after adjusting for age, sex, baseline eGFR, disease severity markers, hypertension, and diabetes in patients receiving CVVHD but not IHD as the initial modality. DISCUSSION: The presence of CCID at the initiation of RRT was associated with mortality but not adverse renal outcomes in this large real-world study on critically ill AKI patients requiring RRT. Initiating RRT in the presence of CCID was associated with improved eGFR at 90 days follow-up in patients receiving CVVHD as the initial modality.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".