Objective To analyze the correlation between lipid metabolism indexes,serum gamma-glutamyl transpeptidyase(γ-GGT)and coronary heart disease(CHD)complicated with coronary artery calcification(CAC).Methods A total of 300 CHD patients admitted in this study were divided into the CAC group(n=193)and the non-CAC group(n=107).Clinical data of the two groups were compared,including high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C),total cholesterol(TC),triglyceride(TG),Apolipoprotein A1(Apo-A1),Apo-B(APO-B)and γ-GGT.The influencing factors of CAC were analyzed by multiple Logistic factors.And a nomogram prediction model was established.Results The basic data of the two groups were compared.Patients of the CAC group was older,had higher proportion of patients with hypertension and diabetes,had higher levels of LDL-C,TC,Apo-B and γ-GGT and lower level of Apo-A1 than those of the non-CAC group(P＜0.05).The results of Logistic multivariate regression analysis showed that advanced age,combined history of diabetes,elevated LDL-C,TC,Apo-B and γ-GGT were risk factors of CHD complicated with CAC,while elevated Apo-A1 was the protective factor of CHD complicated with CAC(P＜0.05).The AUC of the constructed nomogram model was 0.880(95%CI:0.840-0.919),which showed good distinguishing ability.Conclusion CHD complicated with CAC is related to lipid metabolism and γ-GGT level.The nomogram model constructed based on influencing factors can be used for clinical early warning of CAC risk.

Objective To analyze the correlation between lipid metabolism indexes,serum gamma-glutamyl transpeptidyase(γ-GGT)and coronary heart disease(CHD)complicated with coronary artery calcification(CAC).Methods A total of 300 CHD patients admitted in this study were divided into the CAC group(n=193)and the non-CAC group(n=107).Clinical data of the two groups were compared,including high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C),total cholesterol(TC),triglyceride(TG),Apolipoprotein A1(Apo-A1),Apo-B(APO-B)and γ-GGT.The influencing factors of CAC were analyzed by multiple Logistic factors.And a nomogram prediction model was established.Results The basic data of the two groups were compared.Patients of the CAC group was older,had higher proportion of patients with hypertension and diabetes,had higher levels of LDL-C,TC,Apo-B and γ-GGT and lower level of Apo-A1 than those of the non-CAC group(P＜0.05).The results of Logistic multivariate regression analysis showed that advanced age,combined history of diabetes,elevated LDL-C,TC,Apo-B and γ-GGT were risk factors of CHD complicated with CAC,while elevated Apo-A1 was the protective factor of CHD complicated with CAC(P＜0.05).The AUC of the constructed nomogram model was 0.880(95%CI:0.840-0.919),which showed good distinguishing ability.Conclusion CHD complicated with CAC is related to lipid metabolism and γ-GGT level.The nomogram model constructed based on influencing factors can be used for clinical early warning of CAC risk.