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Predictive Accuracy of a Polygenic Risk Score for Postoperative Atrial Fibrillation After Cardiac Surgery

心房颤动 医学 心脏病学 心脏外科 内科学 多基因风险评分 生物 生物化学 基因 基因型 单核苷酸多态性
作者
Miklós D. Kertai,Jonathan D. Mosley,Jing He,Abinaya Ramakrishnan,M. Abdelmalak,Yurim Hong,M. Benjamin Shoemaker,Dan M. Roden,Lisa Bastarache
出处
期刊:Circulation [Wolters Kluwer]
卷期号:14 (2) 被引量:18
标识
DOI:10.1161/circgen.120.003269
摘要

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.

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