Objective To investigated the predictive value of advanced lung cancer inflammation index(ALI)for all-cause mortality in elderly patients with acute coronary syndrome(ACS)after percutaneous coronary intervention(PCI).Methods Related clinical data were collected from the elderly ACS patients in the First People's Hospital of Hangzhou,and the patients were divided into a low ALI group(ALI<20.52)and a high ALI group(ALI≥20.52)according to the optimal cutoff value of ALI on admission.The receiver operating characteristic(ROC)curve,multifactorial COX regression analysis,and Kaplan-Meier curve were used to assess the predictive value of ALI for all-cause mortality.Results The ROC curves showed that the AUC for ALI was 0.737(95%CI:0.677～0.798,P<0.001)in predicting all-cause mortality in elderly ACS patients.The multivariate COX regression analysis demonstrated that age(HR=0.959,95%CI:0.922～0.998,P=0.038),ALI(HR=0.950,95%CI:0.903～0.998,P=0.042)and GRACE(HR=1.031,95%CI:1.023～1.039,P<0.001)were independent risk factors for the incidence of all-cause mortality.Kaplan-Meier curve showed that,compared with the high ALI group,median survival was shorter in elderly ACS patients in the low ALI group,and the difference was statistically significant(P<0.001).Conclusion ALI is associated with all-cause mortality in elderly ACS patients,and low ALI levels on admission are an independent risk factor for all-cause mortality in elderly ACS patients after PCI.Therefore,ALI may be useful in assessing the prognosis of elderly ACS patients.
Advanced lung cancer inflammation indexAcute coronary syndromePercutaneous coronary interventionElderly
万方数据
维普
