RESUMO
To explore relationship between plasma level of dimethylglycine (DMG) and risk of death and its predictive value for risk of death in patients with acute myocardial infarction (AMI ).Methods : A total of 2406 AMI patients from 2010 to 2014 in our hospital were selected .According to survival condition of three‐year follow‐up , patients were divided into death group (n＝319) and survival group (n＝ 2087) , another 2000 healthy volun‐teers undergoing physical examination in our hospital simultaneously were enrolled as healthy control group .Predic‐tive value of plasma DMG level for risk of death in AMI patients were analyzed .Results : Plasma DMG level of AMI group was significantly higher than that of healthy control group [ (4.16 ± 1. 06) μmol／L vs.(2.93 ± 0. 47) μmol／L] , and that of death group was significantly higher than that of survival group [ (4.81 ± 1.05) μmol／L vs.(4.06 ± 1.08) μmol／L] , P＝ 0. 001 both .ROC curve analysis indicted that AUC of plasma DMG level predicting pa‐tients′death was 0. 756 , optimal cutoff point was 4.76μmol／L , and sensitivity and specificity was 76.7% and 69. 2% respectively .According to the cutoff point , AMI group was divided into low level group (DMG≤4.76μmol／L , n＝1103) and high level group (DMG＞4.76μmol／L , n＝1303).Compared with low level group , there were significant rise in BMI , percentages of smoking , hypertension , diabetes mellitus and triple‐vessel coronary disease , levels of TC , LDL‐C , Apo B and Apo A1 , and significant reductions in percentage of single vessel coronary disease and HDL‐C level in high level group , P＜0. 05 or ＜0.01. Kaplan‐Meier survival analysis indicated that three‐year total survival rate of DMG high level group was significantly lower than that of low level group (84. 19% vs. 89. 76%, P＝0.001).Multi‐factor analysis of COX proportional hazard regression indicated that coronary disease severity and plasma DMG level were independent risk factors of prognosis in AMI patients (HR＝1. 746 ,1.823 , P＝0.001 both).Conclusion : Plasma DMG level is one of independent risk factors predicting death of AMI patients .