TY - JOUR
T1 - Cardiovascular Risk Factors and Perioperative Myocardial Infarction After Noncardiac Surgery
AU - Wilcox, Tanya
AU - Smilowitz, Nathaniel R.
AU - Xia, Yuhe
AU - Beckman, Joshua A.
AU - Berger, Jeffrey S.
N1 - Funding Information:
J.S.B. was supported, in part, by the National Heart, Lung, and Blood Institute of the National Institutes of Health (R01HL114978) and N.R.S. was supported by the National Heart, Lung, and Blood Institute of the National Institutes of Health award 5T32HL098129-09.Dr Beckman reports personal fees from Astra Zeneca, Bristol Myers Squibb, Boehringer Ingelheim, Merck, Antidote Therapeutics, Amgen, Sanofi, Bayer, and Novartis, outside the submitted work. The remaining authors have no conflicts of interest to disclose.
Funding Information:
J.S.B. was supported, in part, by the National Heart, Lung, and Blood Institute of the National Institutes of Health ( R01HL114978 ) and N.R.S. was supported by the National Heart, Lung, and Blood Institute of the National Institutes of Health award 5T32HL098129-09 .
Publisher Copyright:
© 2021 Canadian Cardiovascular Society
PY - 2021/2
Y1 - 2021/2
N2 - Background: Perioperative cardiovascular events are a leading cause of morbidity and mortality after noncardiac surgery. We propose a simplified method for perioperative risk stratification. Methods: In a retrospective cohort study we identified patients who underwent noncardiac surgery between 2009 and 2015 in the US National Surgical Quality Improvement Program. Multivariable logistic regression models adjusted for age, sex, race, and surgery type were generated to estimate the effect of traditional cardiovascular risk factors (hypertension, diabetes mellitus, current smoking) on odds of perioperative myocardial infarction (MI). Time to event analysis was conducted using competing risk analysis, with MI as the outcome event and death as the competing risk. Results: A total of 3,848,501 noncardiac surgeries were identified. Postoperative MI occurred in 0.37% of patients and 1.04% of patients died. The 30-day event rate of perioperative MI increased in a stepwise fashion with additional risk factors (0.42% for 1, 0.82% for 2, and 1.08% for 3; P for trend < 0.001) after accounting for the competing risk of death. Compared with those with no risk factors, patients with 1, 2, and 3 risk factors had increased odds of MI (adjusted odds ratio [aOR], 2.07 [95% confidence interval (CI), 1.96-2.19]; aOR, 3.63 [95% CI, 3.43-3.85]; and aOR, 5.54 [95% CI, 5.09-6.04], respectively). Perioperative MI was rare (0.10%) in patients without risk factors. Conclusions: Patients with cardiovascular risk factors are at increased risk of perioperative MI, those without risk factors are at low risk. Further evaluation is needed to determine the effect of a simplified risk score in the perioperative setting.
AB - Background: Perioperative cardiovascular events are a leading cause of morbidity and mortality after noncardiac surgery. We propose a simplified method for perioperative risk stratification. Methods: In a retrospective cohort study we identified patients who underwent noncardiac surgery between 2009 and 2015 in the US National Surgical Quality Improvement Program. Multivariable logistic regression models adjusted for age, sex, race, and surgery type were generated to estimate the effect of traditional cardiovascular risk factors (hypertension, diabetes mellitus, current smoking) on odds of perioperative myocardial infarction (MI). Time to event analysis was conducted using competing risk analysis, with MI as the outcome event and death as the competing risk. Results: A total of 3,848,501 noncardiac surgeries were identified. Postoperative MI occurred in 0.37% of patients and 1.04% of patients died. The 30-day event rate of perioperative MI increased in a stepwise fashion with additional risk factors (0.42% for 1, 0.82% for 2, and 1.08% for 3; P for trend < 0.001) after accounting for the competing risk of death. Compared with those with no risk factors, patients with 1, 2, and 3 risk factors had increased odds of MI (adjusted odds ratio [aOR], 2.07 [95% confidence interval (CI), 1.96-2.19]; aOR, 3.63 [95% CI, 3.43-3.85]; and aOR, 5.54 [95% CI, 5.09-6.04], respectively). Perioperative MI was rare (0.10%) in patients without risk factors. Conclusions: Patients with cardiovascular risk factors are at increased risk of perioperative MI, those without risk factors are at low risk. Further evaluation is needed to determine the effect of a simplified risk score in the perioperative setting.
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U2 - 10.1016/j.cjca.2020.04.034
DO - 10.1016/j.cjca.2020.04.034
M3 - Article
C2 - 32380229
AN - SCOPUS:85098212415
SN - 0828-282X
VL - 37
SP - 224
EP - 231
JO - Canadian Journal of Cardiology
JF - Canadian Journal of Cardiology
IS - 2
ER -