Analysis on risk factors for diabetes mellitus complicated with atherosclerosis and construction and validation of Nomogram prediction model
Yang Jifang
Yao Ruinan
Huang Benlin
Abstract：Objective To analyze the risk factors of diabetes mellitus combined with atherosclerosis(AS),and to construct and validate the Nomogram prediction model.Methods A total of 894 diabetic patients admitted to the First People's Hospital of Dali from January 2021 to August 2023 were selected as research subjects.According to whether there was AS,they were divided into non combined group(417 cases)and combined AS group(477 cases).The demographic data and clinical characteristics of two groups were compared.Multivariate Logistic regression analysis was used to explore the independent influencing factors of diabetes combined with AS.Nomogram prediction model was constructed,receiver operator characteristic curve(ROC curve)and correction curve were plotted,and area under ROC curve(AUC)was calculated to evaluate the predictive efficacy of the model.Results Age,glycated serum protein(GSP),high-density lipoprotein cholesterol(HDL-C),hypertension and hyperlipidemia were independent risk factors for diabetes mellitus combined with AS[odds ratios(OR)were 2.67(Q4),2.54(Q4),0.55(Q4),1.95 and 2.84,and P values were<0.001,<0.001,0.018,0.002 and<0.001,respectively].The Nomogram prediction model had an AUC of 0.712[95%incidence interval(95%CI)was 0.672-0.752]of training set,with specificity and sensitivity of 59.2%and 72.4%,respectively.The AUC in validation set was 0.695(95%CI was 0.632-0.757),and the specificity and sensitivity were 73.7%and 59.6%,respectively.The calibration curve showed that the average absolute errors of model prediction in training set and validation set were 0.017 and 0.012,respectively.Conclusions Age,GSP,HDL-C,hypertension and hyperlipidemia are independent influencing factors for diabetes mellitus combined with AS,and the Nomogram prediction model based on these risk factors has certain predictive value.
Keywords：DiabetesAtherosclerosisNomogram predictive modelReceiver operator characteristic curve
Publication Date：2025-12-30
Online Publishing Date：2026-02-02(First online date of this platform, not the publication date of the document)
Pages：5( 330-334 )