The predictive value of five glomerular filtration rate formulas for long-term mortality in patients undergoing coronary artery bypass grafting.

Coronary Artery Bypass Creatinine Glomerular Filtration Rate Humans Kidney Function Tests Renal Insufficiency, Chronic Retrospective Studies
coronary artery bypass grafting coronary artery disease creatinine clearance estimated glomerular filtration rate

Journal

Journal of cardiac surgery
ISSN: 1540-8191
Titre abrégé: J Card Surg
Pays: United States
ID NLM: 8908809

Informations de publication

Date de publication:
Sep 2022
Historique:
revised: 11 04 2022
received: 14 01 2022
accepted: 07 05 2022
entrez: 1 8 2022
pubmed: 2 8 2022
medline: 4 8 2022
Statut: ppublish

Résumé

Renal function plays an important role in the management of patients referred for coronary artery bypass grafting (CABG). Current data is insufficient for precise risk stratification using the estimated glomerular filtration rate (eGFR). This retrospective study includes 3744 consecutive patients who underwent CABG between 2004 and 2020. We assessed five different eGFR formulas: Cockcroft-Gault (CG), modification of diet in renal disease (MDRD), chronic kidney disease Epidemiology Collaboration (CKD-EPI), Mayo, and inulin clearance-based (IB). The Mayo formula yielded the highest mean eGFR (90 ± 24 ml/min per 1.73 m Our data suggest that the Mayo formula may be superior to the other formulas in prognosticating mortality after CABG. We have shown that the Mayo equation classified fewer individuals as having renal dysfunction and more accurately categorized the risk for mortality than did all other formulas.

Sections du résumé

BACKGROUND AND AIMS OBJECTIVE
Renal function plays an important role in the management of patients referred for coronary artery bypass grafting (CABG). Current data is insufficient for precise risk stratification using the estimated glomerular filtration rate (eGFR).
METHODS METHODS
This retrospective study includes 3744 consecutive patients who underwent CABG between 2004 and 2020. We assessed five different eGFR formulas: Cockcroft-Gault (CG), modification of diet in renal disease (MDRD), chronic kidney disease Epidemiology Collaboration (CKD-EPI), Mayo, and inulin clearance-based (IB).
RESULTS RESULTS
The Mayo formula yielded the highest mean eGFR (90 ± 24 ml/min per 1.73 m
CONCLUSIONS CONCLUSIONS
Our data suggest that the Mayo formula may be superior to the other formulas in prognosticating mortality after CABG. We have shown that the Mayo equation classified fewer individuals as having renal dysfunction and more accurately categorized the risk for mortality than did all other formulas.

Identifiants

DOI: 10.1111/jocs.16667 PMID: 35914027 PMC: PMC9544701
pubmed: 35914027
doi: 10.1111/jocs.16667
pmc: PMC9544701
doi:

Substances chimiques

Creatinine AYI8EX34EU

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2663-2670

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2022 The Authors. Journal of Cardiac Surgery published by Wiley Periodicals LLC.

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Auteurs

Eilon Ram (E)

Department of Cardiac Surgery, Leviev Cardiothoracic and Vascular Center, Sheba Medical Center, and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
The Sheba Talpiot Medical Leadership Program, Ramat Gan, Israel.
ORCID: 0000-0003-3292-821X

Yael Peled (Y)

Department of Cardiology, Leviev Cardiothoracic and Vascular Center, Sheba Medical Center, and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

Ehud Karni (E)

Department of Cardiac Surgery, Leviev Cardiothoracic and Vascular Center, Sheba Medical Center, and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

Efrat Mazor Dray (E)

Department of Cardiology, Leviev Cardiothoracic and Vascular Center, Sheba Medical Center, and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

Hillit Cohen (H)

Department of Cardiac Surgery, Leviev Cardiothoracic and Vascular Center, Sheba Medical Center, and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

Ehud Raanani (E)

Department of Cardiac Surgery, Leviev Cardiothoracic and Vascular Center, Sheba Medical Center, and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

Leonid Sternik (L)

Department of Cardiac Surgery, Leviev Cardiothoracic and Vascular Center, Sheba Medical Center, and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

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Classifications MeSH

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