Utility of Established Risk Models to Predict Surgical Mortality in Acute Type-A Aortic Dissection.

Area of Science:

• Cardiovascular Surgery
• Thoracic Surgery
• Aortic Disease Research

Background:

• Acute type-A aortic dissection is a life-threatening condition requiring emergent surgical repair.
• Accurate prediction of surgical mortality is crucial for patient management and risk stratification.
• Established risk models aim to predict outcomes but require validation in contemporary patient cohorts.

Purpose of the Study:

• To assess the predictive accuracy of two established risk models for surgical mortality in patients undergoing repair of acute type-A aortic dissection.
• To compare the performance of these models against individual preoperative variables, particularly age.

Main Methods:

• Retrospective analysis of 79 consecutive patients who underwent emergent repair for acute type-A aortic dissection.
• Comparison of receiver operating characteristic (ROC) curves for two risk scoring systems (Rampoldi et al. and Centofanti et al.) and age.
• Evaluation of preoperative variables including age, hypotension, limb ischemia, and visceral ischemia.

Main Results:

• Overall operative mortality was 16.5%.
• Increasing age was the sole preoperative variable significantly associated with increased operative mortality.
• The area under the ROC curve for operative mortality was comparable for age (0.67) and the two risk models (0.62 and 0.66), with no statistically significant differences.

Conclusions:

• Current predictive risk models for acute type-A aortic dissection offer moderate discriminatory power for operative mortality.
• Age as a single predictive factor may achieve similar discriminatory power for operative mortality compared to established, multi-variable risk models.