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Preoperative estimated glomerular filtration rate to predict cardiac events in major noncardiac surgery: a secondary analysis of two large international studies

Title: Preoperative estimated glomerular filtration rate to predict cardiac events in major noncardiac surgery: a secondary analysis of two large international studies
Authors: Roshanov, PS; Walsh, MW; Garg, AX; Cuerden, M; Lam, NN; Hildebrand, AM; Lee, VW; Mrkobrada, M; Leslie, K; Chan, MTV; Borges, FK; Wang, CY; Xavier, D; Sessler, DI; Szczeklik, W; Meyhoff, CS; Srinathan, SK; Sigamani, A; Villar, JC; Chow, CK; Polanczyk, CA; Patel, A; Harrison, TG; Fielding-Singh, V; Cata, JP; Parlow, J; de Nadal, M; Devereaux, PJ
Publisher Information: Elsevier BV
Publication Year: 2025
Collection: The University of Melbourne: Digital Repository
Description: BACKGROUND: Optimised use of kidney function information might improve cardiac risk prediction in noncardiac surgery. METHODS: In 35,815 patients from the VISION cohort study and 9219 patients from the POISE-2 trial who were ≥45 yr old and underwent nonurgent inpatient noncardiac surgery, we examined (by age and sex) the association between continuous nonlinear preoperative estimated glomerular filtration rate (eGFR) and the composite of myocardial injury after noncardiac surgery, nonfatal cardiac arrest, or death owing to a cardiac cause within 30 days after surgery. We estimated contributions of predictive information, C-statistic, and net benefit from eGFR and other common patient and surgical characteristics to large multivariable models. RESULTS: The primary composite occurred in 4725 (13.2%) patients in VISION and 1903 (20.6%) in POISE-2; in both studies cardiac events had a strong, graded association with lower preoperative eGFR that was attenuated by older age (Pinteraction
Document Type: article in journal/newspaper
Language: English
ISSN: 0007-0912
Relation: https://hdl.handle.net/11343/359566
Availability: https://hdl.handle.net/11343/359566
Rights: https://creativecommons.org/licenses/by/4.0 ; CC BY
Accession Number: edsbas.A926D44E
Database: BASE