Development and Validation of a Predictive Score for Prolonged Mechanical Ventilation After Cardiac Surgery

Area of Science:

• Cardiology
• Critical Care Medicine
• Thoracic Surgery

Background:

• Prolonged mechanical ventilation (PMV) is a significant complication following cardiac surgery.
• Identifying patients at risk for PMV is crucial for optimizing postoperative care and resource allocation.

Purpose of the Study:

• To identify risk factors for prolonged mechanical ventilation (PMV) after scheduled cardiac surgery.
• To develop and validate a predictive score for PMV in this patient population.

Main Methods:

• An observational study was conducted on adult patients undergoing scheduled cardiac surgery with cardiopulmonary bypass.
• Logistic regression analysis identified independent predictors of PMV.
• A predictive score was developed based on these factors and validated in a separate cohort.

Main Results:

• Of 568 patients, 12.0% experienced PMV.
• Independent predictors of PMV included prior cardiac surgery, preoperative congestive heart failure, low creatinine clearance, intraoperative ECMO, and elevated admission lactate.
• The validated predictive score demonstrated good sensitivity (80.9%) and specificity (80.5%) for PMV.

Conclusions:

• A simple, validated score can predict PMV in patients undergoing cardiac surgery.
• This score enables early identification of high-risk patients who may benefit from specialized intensive care unit management.