Value analysis of different risk factors in predicting the risk of atherosclerotic cardiovascular disease
Luo Dan
Zheng Yubo
Yang Wei
Meng Tianyu
Zheng Wenling
Ren Yanping
Abstract：Objective To investigate the value of different risk factors in health management for predicting the risk of atherosclerotic cardiovascular disease(ASCVD).Methods Data of 1 679 employees who underwent annual physical examination in a unit in Xi'an City,Shaanxi Province from February 1 to April 30,2023 were retrospectively analyzed.Relevant data were collected,and the included population was divided into low-risk,intermediate-risk,high-risk,very high-risk and ultra-high-risk groups according to the overall risk assessment process of ASCVD in Chinese adults.Low-risk and intermediate-risk were defined as non-high-risk,while high-risk,very high-risk and ultra-high-risk were defined as high-risk.General data were compared between high-risk and non-high-risk populations.Multivariate Logistic regression was used to analyze the relationship between emotional factors(anxiety/depression status),inflammatory indicators[systemic immune-inflammation index(SII),systemic inflammatory response index(SIRI)and systemic inflammation aggregation index(AISI)]and high ASCVD risk.Restricted cubic spline model was used to analyze the potential dose-response association between inflammatory indicators and high ASCVD risk.Receiver operating characteristic curve and De-long test were used to evaluate the diagnostic and predictive value of inflammatory indicators for high ASCVD risk.Results There were statistically significant differences between non-high-risk population(1 419 cases)and high-risk population(260 cases)in gender,age,SII,SIRI,AISI,anxiety score,depression score and other aspects(all P＜0.05).Multivariate Logistic regression analysis showed that after fully adjusting relevant variables,anxiety and depression scores were not associated with high ASCVD risk(all P＞0.05),while SII,SIRI and AISI were associated with high ASCVD risk(all P＜0.05).Restricted cubic spline model analysis showed a linear correlation between SII(Poverall＜0.001,Pnon-linear=0.074)and high risk,and nonlinear correlations between SIRI(Poverall＜0.001,Pnon-linear=0.024),AISI(Poverall＜0.001,Pnon-linear=0.006)and high risk.SII,SIRI and AISI all had predictive value for high ASCVD risk(all P＜0.05),with areas under the curve of 0.562,0.630 and 0.611,respectively.Conclusion The retrospective study of physical examination data suggests that emotional factors(to some extent)and complete blood cell-related inflammatory indexes have predictive value for high ASCVD risk.
Keywords：Atherosclerotic cardiovascular diseaseAnxiety and depressionComplete blood cell-related inflammatory index
Publication Date：2026-06-18
Online Publishing Date：2026-09-14(First online date of this platform, not the publication date of the document)
Pages：5( 801-805 )