Key result
A polygenic risk score was significantly associated with higher risk for postoperative atrial fibrillation (OR 1.63 per SD increase; 95% CI 1.41-1.90) and improved model discrimination.
Why the study?
Postoperative atrial fibrillation increases morbidity and mortality after cardiac surgery, but clinical risk factors have limited predictive accuracy, and polygenic risk could potentially enhance risk prediction.
Does a polygenic risk score improve the prediction of postoperative atrial fibrillation in patients undergoing coronary artery bypass grafting or valve surgery?
Cohort (n=1,047)
No
Does a polygenic risk score improve the prediction of postoperative atrial fibrillation in patients undergoing coronary artery bypass grafting or valve surgery?
Odds Ratio: 1.63 (95% CI 1.41–1.9)
A polygenic risk score significantly improves the prediction of postoperative atrial fibrillation when added to conventional clinical predictors in patients undergoing cardiac surgery.
May enhance PoAF prediction models in cardiac surgery; hypothesis-generating and requires prospective validation.
Background: Postoperative atrial fibrillation (PoAF) remains a significant risk factor for increased morbidity and mortality after cardiac surgery. The ability to accurately identify patients at risk through clinical risk factors is limited. There is growing evidence that polygenic risk contributes significantly to PoAF and incorporating measures of genetic risk could enhance prediction. Methods: A retrospective cohort study of 1047 patients of White European ancestry who underwent either coronary artery bypass grafting or valve surgery at a tertiary academic center and were free from a history or persistent preoperative atrial fibrillation. The primary outcome was defined as PoAF based on postoperative ECG reports, medical record documentation, and changes in medication. The exposure was a polygenic risk score (PRS) comprising 2746 single-nucleotide polymorphisms previously associated with atrial fibrillation risk. The prediction of PoAF risk was assessed using measures of model discrimination, calibration, and net reclassification improvement. Results: A total of 259 patients (24.7%) developed PoAF. The PRS was significantly associated with a higher risk for PoAF (odds ratio, 1.63 per SD increase in PRS [95% CI, 1.41–1.90]). Addition of PRS to patient- and procedure-related predictors of PoAF significantly increased the C statistic from 0.742 to 0.782 (change in C statistic, 0.040 [95% CI, 0.021–0.060]) while maintaining good calibration. The addition of the PRS to patient- and procedure-related predictors of PoAF improved model fit (likelihood ratio test, P =2.8×10 −15 ) and significantly improved measures of reclassification (net reclassification improvement, 0.158 [95% CI, 0.066–0.274]). Conclusions: The PRS for PoAF was associated with improved discrimination, calibration, and risk reclassification compared with conventional clinical predictors suggesting that a PoAF PRS may enhance risk prediction of PoAF in patients undergoing coronary artery bypass grafting or valve surgery.
No takes yet. Share an insight, caveat, or question.
Kertai et al. (2021) conducted a cohort in Postoperative atrial fibrillation (n=1,047). Polygenic risk score (PRS) vs. Conventional clinical predictors was evaluated on Postoperative atrial fibrillation (PoAF) (OR 1.63, 95% CI 1.41-1.90). A polygenic risk score was significantly associated with higher risk for postoperative atrial fibrillation (OR 1.63 per SD increase; 95% CI 1.41-1.90) and improved model discrimination.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: