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Major Cardiac Events in Patients Admitted to Intensive Care After Vascular Noncardiac Surgery: A Retrospective Cohort
Pedro Videira Reis1,2, Ana Isabel Lopes1, Diana Leite1
11 São João Hospital Centre, Porto, Portugal.
Insights
This study identified key predictors of major adverse cardiac events (MACE) in vascular noncardiac surgery patients. The South African Vascular Surgical (SAVS-CRI) and Vascular Quality Initiative (VQI-CRI) scores showed better prediction accuracy for MACE.
Area of Science:
- Cardiology
- Vascular Surgery
- Medical Informatics
Background:
- Patients undergoing vascular noncardiac surgery (VS) often have comorbidities that increase the risk of major adverse cardiac events (MACE).
- Accurate prediction of MACE is crucial for patient management and risk stratification in VS.
- Several cardiac risk indexes exist, but their comparative performance in VS is not fully established.
Purpose of the Study:
- To evaluate the incidence, independent predictors, and outcomes of MACE in patients undergoing VS.
- To compare the predictive accuracy of different cardiac risk scores for MACE after VS.
Main Methods:
- A retrospective analysis of 928 patients undergoing VS between 2006 and 2013.
- Perioperative MACE included cardiac arrhythmias, myocardial infarction (MI), cardiogenic pulmonary edema (CPE), acute heart failure (AHF), and cardiac arrest (CA).
- The Lee Revised Cardiac Risk Index (RCRI), Vascular Quality Initiative-Cardiac Risk Index (VQI-CRI), Vascular Study Group of New England-Cardiac Risk Index (VSG-CRI), and South African Vascular Surgical-Cardiac Risk Index (SAVS-CRI) were calculated and compared using area under the receiver operating characteristic curve (AUROC).
Main Results:
- The overall MACE incidence was 6.5% (81 events in 60 patients), with higher rates in high-risk surgery (9.8%) compared to intermediate-risk surgery (3.3%).
- Independent predictors of MACE included prior coronary artery disease, atrial fibrillation, insulin-treated diabetes mellitus, need for mechanical ventilation, and admission heart rate.
- The developed multivariate model achieved an AUROC of 0.79, outperforming RCRI (0.66), VSG-CRI (0.69), VQI-CRI (0.71), and SAVS-CRI (0.73).
Conclusions:
- Observed MACE rates were consistent with predicted ranges for intermediate and high-risk surgeries.
- The SAVS-CRI and VQI-CRI demonstrated slightly superior predictive capacity for MACE compared to VSG-CRI and RCRI.
- The study highlights the importance of identifying specific patient factors and utilizing validated risk scores for MACE prediction in vascular surgery.
Abstract:
Introduction. Patients proposed to vascular noncardiac surgery (VS) have several comorbidities associated with major adverse cardiac events (MACE). We evaluated incidence, predictors, and outcomes, and compared different scores to predict MACE after VS. Methods. We included all patients admitted from 2006 to 2013. Perioperative MACE included cardiac arrhythmias, myocardial infarction (MI), cardiogenic pulmonary edema (CPE), acute heart failure (AHF), and cardiac arrest (CA). Lee Revised Cardiac Risk Index (RCRI), Vascular Quality Initiative (VQI-CRI), Vascular Study Group of New England (VSG-CRI), and South African Vascular Surgical (SAVS-CRI) Cardiac Risk Indexes were calculated and analyzed. We performed multivariate logistic regression to assess independent predictors with calculation of odds ratio (OR) and 95% confidence interval (CI). To reduce overfitting, we used leave-one-out cross-validation approach. The Predictive ability of scores was tested using area under receiver operating characteristic curve (AUROC). Results. A total of 928 patients were included. We observed 81 MACE (28 MI, 22 arrhythmias, 10 CPE, 9 AHF, 12 CA) in 60 patients (6.5%): 3.3% in intermediate-risk surgery and 9.8% in high-risk surgery. Previous history of coronary artery disease (OR = 3.2, CI = 1.8-5.7), atrial fibrillation (OR = 5.1, CI = 2.4-11.0), insulin-treated diabetes mellitus (OR = 3.26, CI = 1.51-7.06), mechanical ventilation (OR = 2.75, CI = 1.41-4.63), and heart rate (OR = 1.02, CI = 1.01-1.03) at admission were considered independent risk factors in multivariate analysis. The AUROC of our model was 0.79, compared with RCRI (0.66), VSG-CRI (0.69), VQI-CRI (0.71), and SAVS-CRI (0.73). Conclusions. Observed MACE were within predicted range (1% to 5% after intermediate-risk surgery and >5% after high-risk surgery). SAVS-CRI and VQI-CRI had slightly better predictive capacity than VSG-CRI or RCRI.
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