Use of a Polygenic Risk Score Improves Prediction of Myocardial Injury After Non-Cardiac Surgery. (August 2020)

• Record Type: Journal Article
• Authors: Douville, Nicholas J.; Surakka, Ida; Leis, Aleda; Douville, Christopher B.; Hornsby, Whitney E.; Brummett, Chad M.; Kheterpal, Sachin; Willer, Cristen J.; Engoren, Milo; Mathis, Michael R.
• Is Part Of: Circulation. Volume 13:Number 4(2020)
• Publication Date: 2020-08
• Subjects: coronary artery disease -- genomics -- myocardial infarction -- precision medicine -- troponin; Cardiovascular system -- Diseases -- Periodicals; Cardiovascular system -- Genetics -- Periodicals; Cardiovascular Diseases -- genetics; Precision Medicine; Periodical; Fulltext; Internet Resources; Periodicals; Electronic journals; Periodicals; 616.1042
• DOI: 10.1161/CIRCGEN.119.002817
• Languages: English
• ISSNs: 2574-8300

Abstract

Abstract : Background: While postoperative myocardial injury remains a major driver of morbidity and mortality, the ability to accurately identify patients at risk remains limited despite decades of clinical research. The role of genetic information in predicting myocardial injury after noncardiac surgery (MINS) remains unknown and requires large scale electronic health record and genomic data sets. Methods: In this retrospective observational study of adult patients undergoing noncardiac surgery, we defined MINS as new troponin elevation within 30 days following surgery. To determine the incremental value of polygenic risk score (PRS) for coronary artery disease, we added the score to 3 models of MINS risk: revised cardiac risk index, a model comprised entirely of preoperative variables, and a model with combined preoperative plus intraoperative variables. We assessed performance without and with PRSs via area under the receiver operating characteristic curve and net reclassification index. Results: Among 90 053 procedures across 40 498 genotyped individuals, we observed 429 cases with MINS (0.5%). PRS for coronary artery disease was independently associated with MINS for each multivariable model created (odds ratio=1.12 [95% CI, 1.02–1.24], P =0.023 in the revised cardiac risk index-based model; odds ratio, 1.19 [95% CI, 1.07–1.31], P =0.001 in the preoperative model; and odds ratio, 1.17 [95% CI, 1.06–1.30], P =0.003 in the preoperative plus intraoperative model). The addition of clinical risk factors improved model discrimination. When PRS was included with preoperative and preoperative plus intraoperative models, up to 3.6% of procedures were shifted into a new outcome classification. Conclusions: The addition of a PRS does not significantly improve discrimination but remains independently associated with MINS and improves goodness of fit. As genetic analysis becomes more common, clinicians will have an opportunity to use polygenic risk to predict perioperative complications. Further studies are necessary to determine if PRSs can inform MINS surveillance. Abstract : Supplemental Digital Content is available in the text.