Application of predicting risk of cardiovascular disease events equations on postoperative major adverse cardiac and cerebral events for patients undergoing thoracic surgery - Report - MDSpire
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Application of predicting risk of cardiovascular disease events equations on postoperative major adverse cardiac and cerebral events for patients undergoing thoracic surgery
Clinical Report: Utilization of PREVENT Equations for Assessing Cardiovascular Risk
Overview
This study evaluates the association between PREVENT equations and postoperative cardiovascular events in thoracic surgery patients. Findings indicate significant associations in female patients.
Background
Perioperative major adverse cardiac and cerebral events (MACCE) significantly contribute to postoperative mortality and disability, particularly in thoracic surgery. Current risk models often omit critical factors such as blood lipids and kidney function, which are associated with MACCE. The PREVENT equations, developed by the American Heart Association, aim to provide a more comprehensive risk assessment by integrating these factors.
Data Highlights
Variable
Odds Ratio (OR)
95% Confidence Interval (CI)
FDR Corrected P Value
ASCVD Score (Females)
1.95
1.19–3.21
0.0381
CHD Score (Females, Angina)
1.83
1.14–2.95
0.0354
CHD Score (Females, AMI)
1.46
1.05–2.03
0.0386
Key Findings
The study included 1,073 patients undergoing thoracic surgery.
In females, a 1 SD increase in ASCVD score was linked to higher odds of postoperative angina.
CHD score was associated with angina and AMI in female patients.
No significant associations were found for males regarding PREVENT risk scores and MACCE.
The PREVENT equations showed light to moderate discrimination with AUCs ranging from 0.65 to 0.75 in females.
Clinical Implications
The findings indicate associations between PREVENT equations and cardiovascular risk in female patients undergoing thoracic surgery.
Conclusion
The PREVENT equations demonstrate associations with postoperative MACCE in female thoracic surgery patients.