Predictors of anesthesia ready time: Analysis and benchmark dataCentral MessagePerspective

Autor: Morgan L. Brown, MD, PhD, Steven J. Staffa, MS, Luis G. Quinonez, MD, James A. DiNardo, MD, Viviane G. Nasr, MD, MPH
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: JTCVS Open, Vol 15, Iss , Pp 446-453 (2023)
Druh dokumentu: article
ISSN: 2666-2736
DOI: 10.1016/j.xjon.2023.06.016
Popis: Objective: Patients undergoing congenital cardiac surgery require induction of anesthesia. Our objective was to identify the median anesthesia ready time and the predictors of this time. Methods: By using the Society of Thoracic Surgeons Congenital Heart Surgery Database, we identified patients who underwent cardiopulmonary bypass procedures from 2017 to 2021. Univariate and multivariable regression modeling to predict the anesthesia ready time was performed using mixed-effects linear regression. Results: After exclusion of outliers, 44,418 cases were analyzed. The median anesthesia ready time was 51 minutes (interquartile range, 38-66). On multivariable analysis, independent predictors of a longer anesthesia ready time included decreasing weight (0.3 min/10 kg, 95% CI, 0.1-0.6; P = .011), prematurity (1.5 minutes, 95% CI, 0.8-2.2; P
Databáze: Directory of Open Access Journals