Objective To assess the clinical effect of Novonorm on treating type 2 diabetic patients with atherosclerosis. Methods Sixty-five patients of type 2 diabetes with atherosclerosis were randomly divided into 2 groups :36 patients took Novonorm,and the other 29 individuals were treated with Glipizide. The blood glucose and CIMT were compared before and after treatment for 12 months. Results The postprandial blood glucose decreased by(1.99 ± 1.06)mmol/L after the treatment of Novonorm,which was significantly higher than that of(0. 99 ±0. 54)mmol/L after the treatment of Glipizide(P ＜ 0. 05). CIMT significantly decreased from (1.11 ± 0. 07)mm before treatment to(1.02 ± 0. 08)mm after treatment in the Novonorm group(P ＜ 0. 05),whereas CIMT were similar between after and before treatment in the Glipizide group(1.07 ± 0. 06)mm vs.(1.10 ± 0. 08)mm(P ＞ 0. 05).Conclusions Novonorm is a kind of effective and safe regent,which can be used to treat type 2 diabetic patients with atherosclerosis.

Hypokalemia is a common clinical symptom. It is quite important to clarify the cause of hypokalemia. Autoimmune thyroid disease and primary Sjogren syndrome ( pSS ) have a common genetic predisposition. The coexistence of both diseases is frequent. Renal tubular acidosis ( RTA) is one of the causes of hypokalemia, which can be primary and secondary to other diseases in etiology. Primary RTA is more common in children. As for adults, RTA is often secondary to pSS. In this paper, we reported a case of hypokalemia caused by Hashimoto’s thyroiditis associated with primary Sjogren’s syndrome and renal tubular acidosis in order to call attention to the special cause and treatment of hypokalemia.

To discuss the clinical feature and treatment strategies of a patient diagnosed with type Ⅰa glycogen storage disease(GSD) at 3 months of age, and later developed type 2 diabetes at 18 years old. GSD Ⅰa is a rare disease characterized by severe fasting hypoglycaemia. During the treatment, excessive focus on correcting hypoglycemia by the patient, family, and healthcare providers can lead to misdiagnosis and mistreatment of concurrent diabetes, which requires attention from clinicians.

Objective:To explore the relationship between heart rate variability (HRV) and urine albumin/creatinine ratio (ACR) in patients with type 2 diabetes.Methods:A total of 1 543 patients with type 2 diabetes were selected from the Department of Endocrinology of Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, and all the participants received 24-hour Holter monitoring and ACR measurement. HRV parameters include the standard deviation of all normal to normal intervals (SDNN), root mean square differences of successive RR intervals (rMSSD), the percent of adjacent RR intervals with a difference greater than 50 ms (PNN50), low frequency (LF), high frequency (HF), the ratio of LF to HF (LF/HF). Multivariate linear regression was used to analyze the relationship between HRV and ACR. Logistic regression was performed to further analyze the relationship between HRV and albuminuria while HRV parameter was divided into ≤25% (Q1) and ≥25% (Q2-Q4).Results:Multivariate linear regression results showed that the decrease of HRV parameters [ln(SDNN), ln(PNN50), ln(LF), ln(HF), ln(LF/HF)] was closely related to the increase of ln(ACR) (all P<0.05). Logistic regression analysis results showed that SDNN( OR=1.669, 95% CI 1.290-2.159), PNN50( OR=1.372, 95% CI 1.063-1.770), LF( OR=1.918, 95% CI 1.441-2.551), and LF/HF ( OR=1.623, 95% CI 1.220-2.183) were independent risk factors for albuminuria (all P<0.05); Furthermore, logistic regression analysis stratified by the median duration of diabetes (10 years) and cardiovascular disease found that in patients with diabetes≤10 years or without cardiovascular disease, the risk of albuminuria in the SDNN and LF Q1 group were higher than that in the Q2-Q4 group; while in patients with diabetes>10 years or with cardiovascular disease, the risk of albuminuria in the SDNN, PNN50, LF, and LF/HF Q1 group were higher than that in the Q2-Q4 group. Conclusion:The reduction of HRV parameters in patients with type 2 diabetes is closely related to the increase of ACR. With the progress of diabetes, more HRV parameters demonstrated predictive effect for risk of albuminuria.