@article{yang_jiang_xie_wang_fang_luo_zhou_yao_yu_shen_et al._2022, 
  title={Nongated computed tomography predicts perioperative cardiovascular risk in lung cancer surgery}, 
  DOI={10.1016/j.athoracsur.2022.04.023}, 
  abstractNote={The coronary artery calcification score (CACS) is a strong predictor of cardiovascular events and mortality, which can be assessed by nongated chest computed tomography (CT). The study aimed to determine whether CACS based on nongated CT is predictive of perioperative cardiovascular events during intermediate-risk lung cancer surgery.
In this retrospective, single-center study, we used nongated CT images to evaluate CACS in 4,491 lung cancer patients who underwent intermediate-risk surgeries. Perioperative cardiovascular events were defined as in-hospital cardiac death, nonfatal myocardial infarction (MI), heart failure, atrial and ventricular arrhythmia with hemodynamic compromise, and complete heart block. Risk factors of perioperative cardiovascular were identified using multivariate logistic regression analysis.
In total, 110 inpatients (2.5%) experienced perioperative cardiac events. Coronary calcification was observed on nongated CT in 1,070 (23.8%) patients. CACS was significantly associated with the incidence of cardiovascular events and longer hospital stays. According to receiver operating characteristic curve analysis, the CACS cutoff value was set to 1. In the multivariate analysis, CACS ≥1 (odds ratio (OR) = 1.75, 95% confidence interval (CI): 1.14-2.68, p = 0.011) or the number of calcified vessels (OR = 1.23, 95%CI: 1.01-1.50, p = 0.043), age, forced expiratory volume in one second/predicted, operation time, and thoracotomy were predictive of cardiovascular complications.
CACS is an independent predictor of severe perioperative cardiovascular risk in patients undergoing intermediate-risk lung cancer surgery. CACS may represent a valuable tool for preoperative risk assessments among these patients.}, 
  author={Yang, Xiaoxiao and Jiang, Yifeng and Xie, Mengshi and Wang, Xiaolei and Fang, Wentao and Luo, Qingquan and Zhou, Qianjun and Yao, Feng and Yu, Hong and Shen, Lan and et al.}, 
  year={2022}, 
  month={Apr}
  }