A Novel Preoperative Risk Score Incorporating Non-Invasive Hemodynamics to Predict Prolonged Mechanical Ventilation...

Area of Science:

• Pediatric Cardiology
• Critical Care Medicine
• Biomedical Engineering

Background:

• Infants with ventricular septal defect (VSD) and respiratory compromise show varied recovery after surgery.
• Lack of objective tools for preoperative risk stratification in these infants.

Purpose of the Study:

• To determine if preoperative noninvasive hemodynamic data from Electrical Cardiometry (EC) can predict prolonged mechanical ventilation (PMV) in infants undergoing VSD repair.

Main Methods:

• Retrospective study of 51 infants undergoing VSD repair.
• Electrical Cardiometry (EC) monitoring (ICON) preoperatively.
• Development of a composite risk score using Principal Component Analysis (PCA) of clinical and EC data.

Main Results:

• N-terminal pro-B-type natriuretic peptide (NT-proBNP) and change in Index of Contractility (∆ICON) correlated with cardiac dysfunction.
• PCA-derived composite score predicted PMV with high accuracy (AUC=0.856), outperforming individual variables.

Conclusions:

• A composite risk score integrating clinical and EC hemodynamic data effectively identifies infants at high risk for PMV post-VSD repair.
• This tool can enhance perioperative management and resource allocation for VSD patients.