Objective To investigate the impact of uric acid on peripheral blood glucose measured by the portable blood glu‐cose meter .Methods A total of 60 inpatients with 2 diabetic mellitus(T2DM ) complicating hyperuricemia were chosen as the re‐search group and contemporaneous 60 cases of T2DM without complicating hyperuricemia as the control group .Blood glucose in both groups was measured by the portable blood glucose meter ,meanwhile plasma glucose and serum uric acid were assessed by the biochemical analyzer in order to explore the impact of uric acid on peripheral blood glucose .Results (1)The difference between pe‐ripheral blood glucose and venous blood glucose was correlated with serum uric acid .(2)There was statistically significant differ‐ence in the blood glucose between the two groups .(3 ) The bias of blood glucose value were within the acceptable range . Conclusion Serum uric acid has certain influence on the peripheral blood glucose ,but which is within the acceptable range .The de‐tected blood glucose value of the portable blood glucose meter can be trusted .

Objective To investigate and analyze the dwarf reasons for children in the area of Huai'an city,Jiangsu province.Methods A retrospective analysis of 92 cases of children with short stature in our hospital in recent 5 years had been made.Results The dwarf reasons for the 92 cases of undersized children were:lack of growth hormone (53.3％),physical sexual puberty delay (16.3％),hypothyroidism (9.8％),turner syndrome (7.6％),nanosoma essentialis (5.4％),familial short stature (4.3％),intrauterine growth retardation (2.2％)and glycogen storage disease type Ⅰ (1.1％).Conclusion The main dwarf reasons for children were growth hormone deficiency and physical sexual puberty delay,and medical treatment should be used as soon as possible.

To determine the associations between expressions of insulin-like growth factor-Ⅰ( IGF-Ⅰ), tumor necrosis factor-α (TNF-α), and vascular endothelial growth factor (VEGF) 165 in serum, and the occurrence and development of diabetic retinopathy ( DR). A total of 129 patients diagnosed as DM in our hospital between September 2015 and September 2017 were randomly selected in the study, including 58 cases single DM, diabetes with non-proliferative retinopathy group ( 45 cases) and diabetic proliferative retinopathy group ( 26 cases). Meanwhile, 110 healthy examinees during the same period were collected as a normal control group. The severity of retinopathy was judged by fundus photography and fundus fluorescein angiography. Blood glucose, BMI, HbA1C , TC, TG, HDL-C, LDL-C, and VLDL-C were detected in all subjects. Enzyme-linked immunosorbent assay (ELISA) was adopted to detect the serum concentrations of IGF-Ⅰ, TNF-α, and VEGF165. The expressions of serum IGF-Ⅰ, TNF-α, and VEGF in DM patients were significantly higher than those in the control group (all P<0.05). As diabetic retinopathy worsened, the expressions of serum IGF-Ⅰ, TNF-α, and VEGF increased. Pearson correlation analysis showed that serum IGF-Ⅰ was positively correlated with TNF-α, TNF-α, and VEGF165, IGF-Ⅰ, and VEGF165(P<0.05). Logistic regression analysis showed that IGF-Ⅰ and VEGF165 were risk factors for DR (OR = 1.059, 1.165, all P<0.05). The sensitivity, specificity and diagnostic accuracy of IGF-Ⅰ, TNF-α, and VEGF165 were higher than IGF-Ⅰ, TNF-α, and VEGF165 alone(AUC = 0.968, 0.928, 0.792, 0.893, all P<0.05). The expression level of IGF-Ⅰ, TNF-α, and VEGF165 in serum was related to the severity of diabetic retinopathy. The diagnosis of diabetic retinopathy with combined IGF-Ⅰ, TNF-α, and VEGF165 measurements was better than the single index of IGF-Ⅰ, TNF-α, and VEGF165.

Objectives To determine the association between serum levels of high-mobility group box-1 (HMGB1),insulin-like growth factor-1 (IGF-1),vascular endothelial growth factor 165 (VEGF165) and occurrence and development of diabetic nephropathy (DN).Methods A total of 136 patients diagnosed as diabetic nephropathy (DN group) in Huai'an First People's Hospital between January 2016 to January 2018 were randomly selected in the study,including microalbuminuria group (n=62),macroalbuminuria group (n=50) and renal insufficiency group (n=24).Meanwhile,115 healthy examiners during the same period were collected as normal control group.Serum glucose,serum total cholesterol (TC),serum triglyceride (TG),high density lipoprotein cholesterol (HDL-C),low density lipoprotein cholesterol (LDL-C) and urinary albumin/urine creatinine ratio (UAlb/Cr) were detected inall subjects.Enzyme-linked immunosorbent assay (ELISA) was adopted to detect the serum concentrations of HMGB1,IGF-1 and VEGF165.Pearson correlation test was used to analyze the correlation between serum HMGB1,IGF-1 and VEGF165.Logistic ordered multi-classification regression was used to analyze the risk factors of DN progression,and the receiver operating characteristic curve (ROC) was drawn to evaluate the clinical predictive value of HMGB1,IGF-1 and VEGF165 in the progression of DN.Results The concentrations of serum HMGB1,IGF-1 and VEGF165 in DN patients were significantly higher than those in the control group (all P ＜ 0.05).There was a positive association between HMGB1 and IGF-1,HMGB1 and VEGF165,IGF-1 and VEGF165 (all P ＜ 0.01).Logistic regression analysis showed that elevated levels of HMGB1,IGF-1 and VEGF165 were independent risk factors for DN progression (OR=5.50,1.05,1.24,all P ＜ 0.05).The sensitivity,specificity and area under ROC curve of combined detection of HMGB1,IGF-1 and VEGF165 were higher than HMGB1,IGF-1 and VEGF165 alone (AUC=0.989,0.984,0.942,0.878,P ＜ 0.05).Conclusions The serum levels of HMGB1,IGF-1 and VEGF165 are related to the severity of DN.The clinical predictive value of combined detection of HMGB1,IGF-1 and VEGF165 for DN progression is superior to that of single index detection of HMGB1,IGF-1 and VEGF165.

Objective:To explore the correlation between glycated hemoglobin variability index (HGI) and carotid artery plaque in patients with type 2 diabetic kidney disease (DKD).Methods:This cross-sectional study included 620 DKD patients admitted to the Department of Endocrinology in the First Affiliated Hospital of Nanjing Medical University from June 2019 to June 2022. Basic demographic and laboratory data, including age, disease duration, body mass index (BMI), blood pressure, fasting blood glucose (FBG), glycated hemoglobin (HbA 1c), lipid profile, and urinary albumin excretion rate (UAER), were collected for all participants. A linear regression equation was developed based on FPG and HbA 1c to calculate the HGI level of each patient. The patients were divided into low HGI group, medium HGI group, and high HGI group based on the tertiles of HGI. The detection rate of carotid artery plaque in the three HGI groups was analyzed. The patients were further divided into the non-plaque group (254 cases) and plaque group (366 cases) based on the presence or absence of carotid artery plaque. Binary logistic regression analysis was used to identify the risk factors for carotid artery plaque in DKD patients. Results:Among the DKD patients, the detection rate of carotid artery plaque was 59%. Compared with the non-plaque group, the patients in the plaque group had older age (60.52 years, t=-7.71), longer disease duration (10 years, Z=-4.17), higher systolic blood pressure (141.9 mmHg, t=-3.29), higher HbA 1c (9.2%, Z=-2.17), higher HGI (-0.20%, Z=-3.43), higher urea nitrogen (6.87 μmol/L, Z=-3.96), higher creatinine (77 mmol/L, Z=-4.05), and higher UAER (234.25 mg/24 h, Z=-5.59) (all P<0.05). The detection rate of carotid artery plaque in the low HGI group, medium HGI group and high HGI group was 50.5%, 57.9% and 68.5%, respectively, with a statistically significant difference among the three groups (χ 2=14.15, P=0.001). Age, UAER, and HGI were identified as risk factors for carotid artery plaque ( OR=1.051, 2.775 and 1.474, all P<0.05). The risk of carotid artery plaque in the high HGI group was 2.142 times of that in the low HGI group. After adjusting for confounding factors such as age, gender, disease duration, BMI, blood pressure, lipid profile and UAER, the risk of carotid artery plaque in the high HGI group was 2.558 times of that in the low HGI group. Conclusion:HGI is significantly elevated in DKD patients with carotid artery plaque, and the detection rate of carotid artery plaque increases with HGI level. Elevated HGI is an independent risk factor for carotid artery plaque in DKD patients.