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Incidence, risk factors, and prognosis of a moderate increase in plasma creatinine early after cardiac surgery*

2002· article· en· W1975594899 on OpenAlexaff
Frédérique Ryckwaert, G. Boccara, J. M. Frappier, P Colson

Bibliographic record

VenueCritical Care Medicine · 2002
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsCollège de Maisonneuve
Fundersnot available
KeywordsMedicineCreatinineIntensive care unitOdds ratioOrgan dysfunctionConfidence intervalInternal medicineDialysisIncidence (geometry)Renal functionCardiac surgeryCardiologySurgerySepsis

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.035
GPT teacher head0.321
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations155
Published2002
Admission routes1
Has abstractyes

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