#1163 Baseline estimated GFR and the prognostic impact of rapid increases in serum creatinine after major elective surgery: a multicohort study
Bibliographic record
Abstract
Abstract Background and Aims Acute kidney injury (AKI) is common after major surgery and is associated with increased mortality. Currently, the Kidney Disease: Improving Global Outcomes (KDIGO) criteria define AKI as an absolute creatinine increase ≥0.3 mg/dl within 48 hours, a relative creatinine increase ≥50% known or presumed to have occurred within 7 days, or a urine output <0.5 ml/kg/h for at least 6 hours. However, it remains contested whether small absolute creatinine increases should be viewed as equivalent to relative creatinine increases—especially for low baseline estimated glomerular filtration rate (eGFR) where such creatinine changes relate to smaller eGFR changes. Here, we used a multinational collaboration to investigate this uncertainty. Method We conducted a multinational population-based cohort study including adult patients from Denmark, Alberta (Canada), Grampian, and Tayside & Fife (United Kingdom) undergoing major elective surgery. The inclusion of patients undergoing major elective surgery allowed for accurate assessment of baseline eGFR and postoperative changes in creatinine. This is because it is standard practice in all the included cohorts to have a recent outpatient creatinine measurement before surgery and to monitor creatinine levels in the days following surgery. We ascertained the most recent outpatient eGFR before surgery using the 2009 creatinine-based Chronic Kidney Disease Epidemiology Collaboration equation. We determined both the highest relative increase in creatinine within 7 days and the highest absolute increase in creatinine within 2 days during the first 7 days after the day of surgery. The outcome of interest was death within 90 days after surgery. Logistic regressions were performed to construct heatmaps depicting age-, sex-, year-, and surgery type-standardized 90-day mortality according to absolute and relative creatinine increases across pre-operative baseline eGFR levels. Results We identified 314,136 surgical procedures (172,544 procedures from Denmark, 124,119 from Alberta, 9891 from Grampian, and 7582 from Tayside & Fife) performed in 276,988 patients with 13,906 deaths within 90 days. Across the populations, the median age ranged from 66 to 70 years, and 40 to 44% were female. Absolute creatinine increases: Compared to no change in creatinine, an absolute increase of 0.3 mg/dl (26.5 µmol/l) within 2 days was associated with a consistent 2.5–3.5 percentage point (%p) absolute increase in mortality for eGFR between 15 and 90 ml/min/1.73 m2 (Figs 1 and 2). The increase in mortality was >3.5%p at eGFR >90 mL/min/1.73 m² and <2.5%p at eGFR <15 mL/min/1.73 m², although the precision of these estimates was low. These absolute increases in mortality corresponded to a relative increase in mortality of 25% for a baseline eGFR of 15 ml/min/1.73 m2, 160% for a baseline eGFR of 90 ml/min/1.73 m2, and 244% for an eGFR of 120 ml/min/1.73 m2. Relative creatinine increases: The absolute increases in mortality between a 50% relative creatinine increase and no change within 7 days decreased with eGFR from 9.6%p for a baseline eGFR of 15 ml/min/1.73 m2 to 3.5%p for a baseline eGFR of 90 ml/min/1.73 m2 (Figs 1 and 2). After this point, it increased to 5.3%p for a baseline eGFR of 120 ml/min/1.73 m2. The corresponding relative increases in mortality rose from 134% for a baseline eGFR of 15 ml/min/1.73 m2 to 255% for a baseline eGFR of 60 ml/min/1.73 m2, after which it remained at the same level. Conclusion Across baseline eGFR levels >15 ml/min/1.73 m2, both an absolute creatinine increase of 0.3 mg/dl and a relative increase of 50% were associated with a considerably higher mortality than no change. Yet, the magnitude of the increase in risk was substantially higher for a 50% increase compared with a 0.3 mg/dl increase at low baseline eGFR. This distinction should be emphasized in future guidelines to improve the consistency of clinical interpretations.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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".