Key result
Aortic cross-clamp time independently predicted prolonged ICU stay following cardiac surgery (OR 1.046; 95% CI 1.014-1.080; p=0.005), with a 110-minute cut-off identifying higher risk.
Why the study?
Reliable intraoperative predictors of adverse postoperative outcomes in cardiac surgery remain elusive despite advances in surgical techniques and perioperative management.
What are the perioperative predictors of prolonged ICU stay and in-hospital mortality in adult cardiac surgery patients?
Observational (n=130)
What are the perioperative predictors of prolonged ICU stay and in-hospital mortality in adult cardiac surgery patients?
Odds Ratio: 1.046 (95% CI 1.014–1.08)
p-value: p=0.005
Aortic cross-clamp time and cardiopulmonary bypass time are significant independent predictors of prolonged ICU stay and in-hospital mortality following cardiac surgery, with specific actionable thresholds identified.
May flag high-risk cardiac surgery patients via AXCT thresholds; leaves open prospective trials to confirm outcome impact.
Background: Despite advances in surgical techniques and perioperative management, reliable intraoperative predictors of adverse postoperative outcomes in cardiac surgery remain elusive. This study aimed to identify perioperative factors associated with prolonged intensive care unit (ICU) stay and in-hospital mortality while defining actionable thresholds. Methods: A retrospective analysis was conducted on 130 adult cardiac surgery patients (with a median age of 61 years, 66.2% men) from October 2022 to November 2024. Data on preoperative risk factors, intraoperative variables (cardiopulmonary bypass time-CPBT, aortic cross-clamp time-AXCT), and postoperative outcomes (ICU length of stay, in-hospital mortality) were extracted from electronic medical records. Results: Prolonged ICU stay (≥7 days) occurred in 38.5% of patients, and in-hospital mortality was 10%. AXCT was the sole independent predictor of prolonged ICU stay (OR = 1.046, 95% CI = 1.014–1.080, p = 0.005), with a 110-min cut-off (sensitivity 71%, specificity 61%, AUC = 0.729). A Kaplan–Meier analysis showed significantly longer ICU stays above this threshold (p = 0.006). For in-hospital mortality, prolonged CPBT (OR = 1.030, 95% CI = 1.003–1.057, p = 0.030), emergency surgery (OR = 0.043, 95% CI = 0.002–0.863, p = 0.040), and higher AXCT (OR = 0.965, 95% CI = 0.934–0.997, p = 0.034) were the independent predictors. A receiver operating characteristic analysis identified 140 min for AXCT (sensitivity 67%, specificity 70%, AUC = 0.707) and 227 min for CPBT (sensitivity 83%, specificity 69%, AUC = 0.824) as the optimal cut-offs. A combined model (emergency surgery yes/no, AXCT > 140 min, CPBT > 227 min) yielded excellent discrimination (AUC = 0.846). Conclusions: These findings suggest perioperative benchmarks that may guide surgical teams in refining operative strategies, reducing ICU resource utilization, and improving survival following cardiac surgery.
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Hădăreanu et al. (2025) conducted an observational in Cardiac surgery (n=130). Aortic cross-clamp time (AXCT) and cardiopulmonary bypass time (CPBT) was evaluated on Prolonged ICU stay (≥7 days) (OR 1.046, 95% CI 1.014-1.080, p=0.005). Aortic cross-clamp time independently predicted prolonged ICU stay following cardiac surgery (OR 1.046; 95% CI 1.014-1.080; p=0.005), with a 110-minute cut-off identifying higher risk.
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