Key result
CAD polygenic risk score linked to ~19% greater risk of MINS.
Why the study?
Postoperative myocardial injury is a major driver of morbidity and mortality, yet accurately identifying patients at risk remains limited, and the role of genetic information in predicting MINS remains unknown.
Does the addition of a polygenic risk score for coronary artery disease improve the prediction of myocardial injury after noncardiac surgery in adult patients?
Observational (n=40,498)
Does the addition of a polygenic risk score for coronary artery disease improve the prediction of myocardial injury after noncardiac surgery in adult patients?
Effect estimate: OR 1.19 (95% CI 1.07-1.31)
p-value: p=0.001
The addition of a polygenic risk score for coronary artery disease is independently associated with myocardial injury after noncardiac surgery and improves risk reclassification, though it does not significantly improve overall model discrimination.
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.
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Douville et al. (2020) conducted an observational in Myocardial injury after noncardiac surgery (MINS) (n=40,498). Polygenic risk score (PRS) for coronary artery disease vs. Clinical risk models alone was evaluated on Myocardial injury after noncardiac surgery (MINS) defined as new troponin elevation within 30 days following surgery (OR 1.19, 95% CI 1.07-1.31, p=0.001). A polygenic risk score for coronary artery disease was independently associated with myocardial injury after noncardiac surgery when added to preoperative models (OR 1.19; 95% CI 1.07-1.31; P=0.001).
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