Incidence, risk factors, and prognosis of a moderate increase in plasma creatinine early after cardiac surgery*
Bibliographic record
Abstract
OBJECTIVE: To evaluate the incidence and prognosis of a moderate increase in serum creatinine early after cardiac surgery. DESIGN: Retrospective clinical study. SETTING: Surgical intensive care unit in a university hospital. PATIENTS: Five hundred and ninety-one consecutive adult patients operated on for cardiac surgery during 1 year. INTERVENTIONS: Plasma creatinine was measured systematically before and during the first 3 days after surgery. Comorbid events were assessed as organ dysfunction (cardiac, pulmonary, hematologic, and neurologic), allowing us to calculate for each patient a dysfunction score (0-5). MEASUREMENTS AND MAIN RESULTS: Postoperative plasma creatinine increased by > or =20% in 15.6% of patients; eight of these required dialysis. A 20% increase in plasma creatinine was associated with other organ dysfunction in 79.3% of patients. Overall mortality rate was 2.7% and increased with the dysfunction score (17.7% for a dysfunction score > or =3). Mortality rate was 12.0% for patients who had 20% increased plasma creatinine with other organ dysfunction but was 0% for patients without other organ dysfunction. A logistic regression analysis revealed that the most important prognostic factors of death were cardiac dysfunction (odds ratio, 8.5; 95% confidence interval, 2.2-32.5) and the association of renal dysfunction and hematologic dysfunction (odds ratio = 12.0; 95% confidence interval, 3.9-37.2). Mean intensive care unit stay of patients with increased plasma creatinine was significantly longer (8.1 +/- 5.6 vs. 4.3 +/- 1.4 days, p <.01) and increased significantly with the dysfunction score (p <.01). Patients with isolated increased plasma creatinine had a significantly longer stay in the intensive care unit than patients without any organ dysfunction (4.6 +/- 1.4 vs. 3.9 +/- 0.9, p <.01). CONCLUSION: Our results suggest that a postoperative 20% increase in plasma creatinine after cardiac surgery is not rare and has a significant impact on postoperative outcome, mainly when multiple organ dysfunction occurs. Any preoperative reduced renal reserve or perioperative renal ischemia increases the renal risk.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".