Objective:To investigate the risk factors for postpartum glycometabolism in patients with gestational diabetes mellitus (GDM), providing a new idea for clinical prevention of type 2 diabetes mellitus.Methods:Pregnant women who underwent regular prenatal examination in Cixi People's Hospital, China between February 2019 and January 2020 were included in this prospective cohort study. The clinical data before and during pregnancy were collected. These pregnant women were followed up for 6 weeks and 6 months postpartum. Oral glucose tolerance test (OGTT) with 75 g of glucose was performed. The clinical end point was abnormal glucose metabolism. Kaplan-Meier (KM) univariate analysis and multivariate Cox regression analyses were used to analyze the risk factors for abnormal glucose metabolism postpartum in patients with GDM.Results:A total of 252 eligible patients were included in this study. Among them, 212 patients finished 6-week follow-up, and 149 patients finished 6-month follow-up. Among the 212 patients who finished 6-week follow-up postpartum, 87 (41.04%) patients had abnormal glucose metabolism, 3 (1.42%) patients had impaired fasting glucose, 66 (31.13%) had impaired glucose tolerance, and 18 (8.49%) patients had type 2 diabetes mellitus. Among the 149 patients who finished 6-month follow-up postpartum, there were 2 new patients with impaired fasting glucose, 11 new patients with impaired glucose tolerance, and 3 new patients with type 2 diabetes mellitus. Overweight before pregnancy [body mass index (BMI) ≥ 24 kg/m 2] and1-hour OGTT (≥ 10.1 mmol/L) were the independent risk factors for abnormal glucose metabolism postpartum in pregnant patients with GDM ( OR = 2.273, 2.462; P = 0.039, 0.023; 95% CI = 1.495-3.051, 1.684-3.240). The Matsuda indexes and 60-minute insulinogenic index in the normal glucose metabolism group were significantly higher than in the abnormal glucose metabolism group ( t = 7.184 and 2.011, both P < 0.05). Conclusion:The incidence of abnormal glucose metabolism in patients with GDM at 6 months postpartum remains high. Overweight before pregnancy [body mass index ≥ 24 kg/m 2] and 1-hour OGTT (≥ 10.1 mmol/L) are the independent risk factors for abnormal glucose metabolism postpartum in pregnant patients with GDM.

OBJECTIVE: To evaluate the capacity of laboratories participated in the proficiency testing (PT) of determination potassium in serum and improve the quality of testing, and put forward technical suggestions for unsatisfied laboratories. METHODS: According to the requirements of CNAS related documents, the homogeneity and stability of the real PT sample were evaluated by one-way ANOVA and t test, respectively. The values of real PT samples were assigned by reference method which was used in PT results assay. It is required that the deviation of value of real PT samples (code:2, 3, 5) between the measured value and the assigned value shall be within ±15.0%. The precision of values for all samples should not be greater than 3.0%. RESULTS: All the laboratories submitted valid data according to the requirements. Only one laboratory did not meet the requirements, and the satisfaction rate was 90.9%. CONCLUSIONS The ability of most of laboratories are accurate and reliable.
Drinking Water/analysis* ; Laboratories ; Laboratory Proficiency Testing ; Potassium

BACKGROUNDThe prevalence of metabolic syndrome (MetS) increased recently and there was still not a screening index to predict MetS. The aim of this study was to estimate whether brachial-ankle pulse wave velocity (baPWV), a novel marker for systemic arterial stiffness, could predict MetS in Chinese community population.

METHODSA total of 2 191 participants were recruited and underwent medical examination including 1 455 men and 756 women from June 2011 to January 2012. MetS was diagnosed according to the criteria of the International Diabetes Federation (IDF). Multiple Logistic regressions were conducted to explore the risk factors of MetS. Receiver operating characteristic (ROC) curve was performed to estimate the ideal diagnostic cutoff point of baPWV to predict MetS.

RESULTSThe mean age was (45.35±8.27) years old. In multiple Logistic regression analysis, the gender, baPWV and smoking status were risk factors to MetS after adjusting age, gender, baPWV, walk time and sleeping time. The prevalence of MetS was 17.48% in 30-year age population in Shanghai. There were significant differences (χ(2) = 96.46, P < 0.05) between male and female participants on MetS prevalence. According to the ROC analyses, the ideal cutoff point of baPWV was 1 358.50 cm/s (AUC = 60.20%) to predict MetS among male group and 1 350.00 cm/s (AUC = 70.90%) among female group.

CONCLUSIONBaPWV may be considered as a screening marker to predict MetS in community Chinese population and the diagnostic value of 1 350.00 cm/s was more significant for the female group.

Adult ; Ankle Brachial Index ; methods ; Female ; Humans ; Logistic Models ; Male ; Metabolic Syndrome ; diagnosis ; Middle Aged ; ROC Curve