Optimal cut-off point of waist-to-height ratio for predicting metabolic syndrome / 中华临床营养杂志

Objective To investigate the relationship between waist-to-height ratio and metabolic syndrome,in order to identify the optimal cut-off point of waist-to-height ratio for predicting metabolic syndrome.Methods In this cross-sectional study,we recruited 343 people who received physical examination in First Hospital of Quanzhou between January 2012 and June 2014,and collected the information of their waist circumference,height,weight,blood pressure,laboratory test results (including fasting blood glucose,2-hour glucose after oral glucose tolerance test,triglyceride,high-density lipoprotein cholesterol) and visceral fat area assessed by computed tomography.Then a receiver operating characteristic (ROC) curve analysis was used to estimate the optimal cut-off points of waist-to-height ratio for the prediction of metabolic syndrome.Results Among the 343 people,there were 195 metabolic syndrome patients,the prevalence rate was 56.8％,which was 70.2％ in men (127/181) and 42.0％ in women (68/162).In ROC curve analysis,the area under the curve of waist-to-height ratio for the prediction of metabolic syndrome was 0.664 for men,and 0.673 for women.The optimal cut-off point of waist-to-height ratio for predicting metabolic syndrome was 0.543 0 (sensitivity 88.2％,specificity 44.4％) for men,and 0.568 3 (sensitivity 86.8％,specificity 46.8％).Conclusion The optimal cut-off point of waist-to-height ratio for predicting metabolic syndrome in Quanzhou population is 0.543 0 for men and 0.568 3 for women.

Risk factors of hyperamylasemia in diabetic ketoacidosis / 中华全科医师杂志

Risk factors of hyperamylasemia in 152 diabetic ketoacidosis(DKA)patients who had no acute pancreatitis were examined.Serum levels of hemodiastase,natrium,kalium,chlorine,calcium,phosphonium,creatinine,carbon dioxide combining power,osmotic pressure,blood glucose,blood lipids and uric acid were measured.With hemodiastase and other 14 factors as independent variables,the multiple linear regression analysis was performed and the partial regression coefficient was estimated.Blood glucose,serum natrium,osmotic pressure and triglyceride entered the regression equation,and their partial coefficients were 10.26,10.35,2.21 and 8.00,respectively.The constant quantitv was -2162.06.Compared with amylase-normal group,hyperamylasemia group showed statistically significant difference in blood glucose,serum natrium,osmotic pressure and triglyceride levels.Higher blood glucose and triglyceride might be the primary causes of hyperamylasemia.