Predictors of Prolonged Intensive Care Unit Stay and In-Hospital Mortality Following Cardiac Surgery: An Integrated Analysis from the PROCARD-ATI Study

<b>Background:</b> 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. <b>Methods</b>: 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. <b>Results</b>: 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, <i>p</i> = 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 (<i>p</i> = 0.006). For in-hospital mortality, prolonged CPBT (OR = 1.030, 95% CI = 1.003-1.057, <i>p</i> = 0.030), emergency surgery (OR = 0.043, 95% CI = 0.002-0.863, <i>p</i> = 0.040), and higher AXCT (OR = 0.965, 95% CI = 0.934-0.997, <i>p</i> = 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). <b>Conclusions</b>: 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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Journal
Journal of Clinical Medicine
Published
2025-04-16
DOI
https://doi.org/10.3390/jcm14082747
Citations
2
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
2.78

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article

Predictors of Prolonged Intensive Care Unit Stay and In-Hospital Mortality Following Cardiac Surgery: An Integrated Analysis from the PROCARD-ATI Study

Ionuţ Donoiu, Diana-Ruxandra Hădăreanu, Mihaela Berceanu, Cristina Florescu et al.
2 citations
Journal of Clinical Medicine
Cardiac, Anesthesia and Surgical Outcomes
2.78
article

Predictors of Prolonged Intensive Care Unit Stay and In-Hospital Mortality Following Cardiac Surgery: An Integrated Analysis from the PROCARD-ATI Study

Ionuţ Donoiu, Diana-Ruxandra Hădăreanu, Mihaela Berceanu, Cristina Florescu, Călin-Dinu Hădăreanu, Flavia-Mihaela Stoiculescu, Octavian Istrătoaie, Marius-Bogdan Novac, Victor-Cornel Raicea
article en
2 citations

Abstract

<b>Background:</b> 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. <b>Methods</b>: 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. <b>Results</b>: 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, <i>p</i> = 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 (<i>p</i> = 0.006). For in-hospital mortality, prolonged CPBT (OR = 1.030, 95% CI = 1.003-1.057, <i>p</i> = 0.030), emergency surgery (OR = 0.043, 95% CI = 0.002-0.863, <i>p</i> = 0.040), and higher AXCT (OR = 0.965, 95% CI = 0.934-0.997, <i>p</i> = 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). <b>Conclusions</b>: These findings suggest perioperative benchmarks that may guide surgical teams in refining operative strategies, reducing ICU resource utilization, and improving survival following cardiac surgery.

Journal of Clinical MedicineVol. 14(8)
University of Medicine and Pharmacy of Craiova (RO), University of Craiova (RO)
Universitatea de Medicină şi Farmacie din Craiova
Good health and well-being
Openalex Percentile: Top 10%
Cardiac, Anesthesia and Surgical Outcomes
2.78
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