Objective To explore the related risk factors for diabetic nephropathy(DN) and discuss the value of diabetic dermopathy (DD) screening for DN.Methods A total of 188 patients with type 2 diabetes mellitus (T2DM) were studied,which included 78 patients with DN (DN group) and 110 cases without DN (non-DN group).The sex,age,duration of diabetes mellitus,smoking,DD,body mass index (BMI),systolic blood pressure (SBP),diastolic blood pressure (DBP),fasting blood glucose (FBG),2hours postpradial glucose(2 h PG),triglyceride (TG),total cholesterol (TC),glycosylated hemoglobin A1c (HbA1c),fasting C-peptide(FC-P) were recorded.Multiple factor Logistic regression was applied in patients with DN and non-DN.Results The incidence of DD and DN in T2DM patients was 47.34％(89/188) and 41.49％ (78/188) respectively.The ratio of DD in DN group was 79.49％(62/78),in non-DN group was 24.55％ (27/110),and the difference was significant (P ＜ 0.05).The age,duration of diabetes mellitus,SBP,FBG,2 h PG,HbA1c in DN group was higher than that in non-DN group [(52.83 ± 6.43) years old vs.(50.35 ±6.48) years old,(10.51 ±4.36) years vs.(6.48 ±3.25) years,(137.42 ± 14.17) mmHg(1mmHg =0.133 kPa) vs.(132.57 ± 15.38) mmHg,(11.95 ±2.83) mmol/L vs.(10.28 ± 1.98) mmol/L,(15.07 ± 3.16) mmol/L vs.(13.51 ± 2.75) mmol/L,(9.62±2.17)％ vs.(8.63 ± 2.08) ％],FC-P was lower than that in non-DN group [(1.76 ± 0.89) μ g/L vs.(2.01 ± 0.72) μ g/L],and the difference was significant (P ＜ 0.05).Multiple factor Logistic regression analysis showed that duration of diabetes mellitus,DD and FPG were still related to DN in T2DM (OR =4.841,3.209,3.368,P ＜0.01).Conclusions DD is correlated with DN in T2DM.DN should be screened in T2DM patients with DD.

[Summary] A total of 165 type 2 diabetic patients were divided into two groups with pigmented pretibial pathes(PPP group) and no PPP( NPPP group). 50 subjects with normal glucose regulation were used as a control group(NGR group). The records of sex, age, diabetes duration, body mass index( BMI), systolic blood pressure (SBP), diastolic blood pressure, high density lipoprotein-cholesterol, low density lipoprotein-cholesterol, fasting blood glucose(FBG), 2 h postpradial plasma glucose(2hPG), triglyceride(TG), total cholesterol, HbA1C , retinol binding protein 4(RBP4), cystatin C(Cys C)were analyzed. The results showed that BMI,FBG, 2hPG, TG, and Cys C levels in NPPP group were higher than those in NGR group(all P<0. 01). The levels of BMI, SBP, FBG, 2hPG, TG, Cys C, and RBP4 in PPP group were higher than those in NGR group(P<0. 01 or P<0. 05), while diabetes duration, FBG, 2hPG, HbA1C , Cys C, and RBP4 in PPP group were higher than those in NPPP group ( P <0. 01). Pearson correlation analysis revealed that serum RBP4 and Cys C were in linear positive correlation(r=0. 77, P< 0. 01). The areas under receiver operating characteristic curve of RBP4 and Cys C were 0. 81 and 0. 78, respectively(P<0. 01). The results of binary logistic regression analysis showed that diabetes duration, HbA1C , RBP4 were related to PPP(r=0. 37, 0. 26, 0. 22, P<0. 05 or P<0. 01).

Objective To explore the application of body mass index(BMI)and the increased value of postpradial 2h C peptide [2hCP minus fasting C-peptide(FCP), ΔCP]as indexes to adjust the antidiabetic plan after intensive blood glucose control in poorly controlled patients with type 2 diabetes mellitus(T2DM).Methods The insulin intensive therapy with injections of insulin four times a day was applied to 156 type 2 diabetic in-patients with poorly glycemic control.Islet function was evaluated after glucostasis in all patients.According to FCP≥1 ng/ml, addition of basal insulin to oral antidiabetic drugs was applied(as plan A, A group).The insulin intensive therapy was continued if FCP<1ng/ml(as plan B,B group).The treatment plan was adjusted from plan A to B when plasma glucose was poorly controlled after a week(as B group).The baseline data of sex, age, diabetes duration, BMI, fasting plasma glucose(FPG), 2 hours postpradial plasma glucose(2hPG), HbA1C, triglyceride(TG), total cholesterol, high density lipoprotein-cholesterol, low density lipoprotein-cholesterol, FCP, 2hCP, 2hCP/FCP, and ΔCP were analyzed.Insulin dose, the incidence of hypoglycemia, and the targeted rate of glucose control were compared between two groups before grouping and one month after treatment.Results The results showed that BMI, TG, FCP, 2hCP, 2hCP/FCP, and ΔCP in A group were higher than those in B group(P<0.01), while FPG, 2hPG and HbA1C were lower(P<0.01).There were no differences in insulin dose, the incidence of hypoglycemia, the targeted rate of FPG and 2hPG between two groups when grouping.After one-month treatment, insulin dose and the incidence of hypoglycemia in group A were lower than those in group B, while the targeted rates of FPG and 2hPG in group A were better than group B(P<0.05 or P<0.01).The results of binary logistic regression analysis showed that BMI and ΔCP were independent factors for choosing antidiabetic plan A(β=0.26, 0.90,P<0.01).The areas under receiver operator characteristic curve of BMI and ΔCP were 0.72 and 0.84, respectively(P<0.01), and their cut-off points to choose antidiabetic plan A were 23.14 kg/m2 and 1.32 ng/ml.Conclusions BMI and ΔCP can be used as the predictive indexes for choosing an antidiabetic plan for poorly controlled type 2 diabetic patients.

Objective To explore the correlation between serum complement C1q and microalbuminuria (MAU) in patients with type 2 diabetes mellitus (T2DM). Methods Two hundred and thirty patients with T2DM from January 2017 to July 2018 were selected. The patients were divided into 3 groups according to the MAU: group A (100 patients with MAU≤30 mg/L), group B (80 patients with 30 mg/L ＜ MAU ≤ 300 mg/L) and group C (50 patients with MAU ＞300 mg/L). The clinical data were recorded and serum complement C1q was measured by immunoturbidimetry. The homeostatic model assessment C-peptide resistance index (HOMA-CR) was calculated. The correlation was analyzed by Spearman correlation analysis, and multivariate Logistic regression analysis was performed with MAU ＞300 mg/L as dependent variable. Results The complement C1q in group C was significantly higher than that in group A and group B: (198.72 ± 43.25) mg/L vs. (173.42 ± 29.36) and (181.57 ± 35.79) mg/L, and there was statistical difference (P＜0.05). Spearman correlation analysis result showed that serum complement C1q had positive correlation with body mass index (BMI), fasting C-peptide (FCP), HOMA-CR and MAU in patients with T2DM (r = 0.22, 0.26, 0.31 and 0.38; P＜0.05). Multivariate Logistic regression analysis result showed that course of disease, glycosylated hemoglobin A1c (HbA1c) and complement C1q were the independent risk factor of MAU＞300 mg/L in patients with T2DM (P＜0.01). Conclusions In patients with T2DM, serum complement C1q has positive correlation with MAU, and it is the independent risk factor of MAU＞300 mg/L. The serum complement C1q may be one of the indicators of large amount of MAU.