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Evaluation of SERENE-CAG score for assessing suitability for coronary angiography preoperatively in patients
Kamal Sharma1, Roopesh Singhal1, Nikhil Jadhav1
1Department of Cardiology, U. N. Mehta Institute of Cardiology and Research Centre, Civil Hospital Campus, Ahmedabad- 380016, Gujarat, India.
Insights
A new SERENE-CAG score helps select rheumatic heart disease patients for coronary angiography, reducing unnecessary procedures and improving patient selection for invasive coronary angiograms.
Area of Science:
- Cardiology
- Cardiac Surgery
- Diagnostic Imaging
Background:
- Rheumatic heart disease (RHD) patients often require assessment for coronary artery disease (CAD) before valve surgery.
- Current selection criteria for preoperative coronary angiography (CAG) in RHD patients may not be optimal.
Purpose of the Study:
- To develop and validate an indigenous scoring system, SERENE-CAG (Selecting Patients Of Rheumatic Heart Disease Undergoing Valve Surgery For Presurgical Coronary Angiography), to improve selection for preoperative CAG in RHD patients.
- To identify better selection criteria for preoperative CAG in RHD patients.
Main Methods:
- A prospective study of 798 RHD patients undergoing preoperative CAG from January 2016 to December 2017.
- Multivariate logistic regression analysis was used to identify significant predictors of CAD.
- An additive score (SERENE-CAG score) was developed based on significant variables.
Main Results:
- The prevalence of significant CAD requiring revascularization in RHD patients was 6.26% (50 patients).
- Male gender was a significant predictor of CAD (odds ratio 2.6).
- A SERENE-CAG score threshold of >2.8 demonstrated 80% sensitivity and 36.9% specificity for predicting CAD, with a negative predictive value of 96.5%.
Conclusions:
- The prevalence of CAD in RHD patients undergoing valve surgery is low.
- The SERENE-CAG score can help optimize patient selection for CAG, potentially deferring 34.6% of normal angiograms.
- Exploring noninvasive CAD screening modalities and refining patient selection can minimize risks associated with invasive procedures.
Aims:
The aim of this study was to identify better selection criteria for subjecting patients of rheumatic heart disease (RHD) to preoperative coronary angiography (CAG) based on indigenous scoring system (SERENE-CAG [Selecting Patients Of Rheumatic Heart Disease Undergoing Valve Surgery For Presurgical Coronary Angiography]).
Methods:
This prospective study included all consecutive 798 patients of RHD patients undergoing preoperative CAG from January 2016 to December 2017 over a duration of 2 years. Multivariate logistic regression analysis was performed with the presence of significant CAD [coronary artery disease] as the dependent variable with traditional risk factors of CAD. An additive score was developed using coefficient derived logistic regression for those variables that were significant. Receiver-operator curve analysis was performed to assess the ability of this score to predict diseased vs normal CAG.
Results:
A total of 798 patients had a mean age of 51.7 ± 12.5 years. Significant CAD requiring revascularization along with valve surgery was identified in 50 (6.26%) patients. Male gender was found as significant predictors of CAD with odds ratio 2.6. A SERENE CAG SCORE of >2.8 resulted in sensitivity of 80% and specificity of 36.9% of predicting CAD in RHD patients with positive and negative predictive value of 7.8% and 96.5%, respectively.
Conclusion:
The prevalence of CAD in RHD patients is low. Patient risk can be minimized by exploring noninvasive modalities for screening of CAD and by more appropriate selection of patients for invasive coronary angiogram. Using threshold SERENE-CAG score of >2.8 would result in deferring 34.6% of normal angiograms.
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