AIM To explore the predictive value of lipid accumulation product(LAP) in coronary artery disease(CAD).
METHODS A total of 550 cases undergoing selective coronary angiography (SCA) in Qinhuangdao Military Hospital from January 2018 to December 2019 were recruited. According to the results of SCA, 550 cases were divided into CAD group with angiography positive (n=291) and control group with angiography negative (n=259). The waist circumference (WC) and biochemical indexes of all the patients were recorded, including blood fat and blood glucose. Binary logistic regression was used for the association between LAP and CAD and the receiver operating characteristic curve (ROC) was used for the value and cut-off point of LAP in predicting CAD.
RESULTS LAP in CAD group was significantly higher than that in control group(P<0.05).The binary logistic regression analysis showed that for each one additional standard deviation of LAP. The risk of CAD increased 1.27 times after adjustment for gender,age, body mass index(BMI), smoking, drinking, LDL-C, HDL-C, TG and TC. The ROC showed that the area of the curve(AUC)was 0.70. The optimal cut-off point was 45.57.
CONCLUSION The LAP has a certain value in predicting CAD.
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