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Screening cardiovascular risk factors of diabetes patients in the primary diabetes clinics.
An, L, Wang, Y, Cao, C, Chen, T, Zhang, Y, Chen, L, Ren, S, Tang, M, Ma, F, Li, X, et al
Medicine. 2021;(30):e26722
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Abstract
To evaluate the atherosclerotic cardiovascular diseases (ASCVD) risk factors in type 2 diabetes patients from the primary diabetes clinics for further comprehensive intervention in China.A cross-sectional study was conducted in 5 primary diabetes chain hospitals in Beijing, Lanzhou, Harbin, Chengdu, and Taiyuan in continuous patients with type 2 diabetes from March 2016 to December 2019. The data collected at the first visit were analyzed, and proportions of patients reached the targets (glycosylated hemoglobin [HbA1c] < 7%, blood pressure < 130/80 mm Hg, and low-density lipoprotein cholesterol [LDL-C] < 2.6mmol/l) were calculated. The clinical characteristics and the associated factors with achievement in HbA1c, blood pressure, and LDL-C targets were analyzed.A total of 20,412 participants, including 11,353 men (55.6%), with an average age of (59.4 ± 10.4) years were enrolled. Nearly 95% diabetes had one or more ASCVD risk factors other than hyperglycemia. The control rates of HbA1c, blood pressure, and LDL-C were 26.5%, 27.8%, and 42.6%, respectively. Only 4.1% patients achieved all 3 targets. Nearly 95% patients had one or more ASCVD risk factors other than hyperglyciemia. Diabetes duration, family history, and overweight/obesity were associated with the number of aggregated ASCVD risk factors. The patients with older age, no overweight/obesity, not smoking, less ASCVD risk factors, and having special diabetes care insurance (Chengdu) were associated with a higher control rates.To deal with poor control status, global management of ASCVD risk factors, weight loss, and smoking cessation must be emphasized in the primary diabetes care settings. Special diabetes care insurance should be advocated.Current ClinicalTrial.gov protocol ID NCT03707379. Date of Registration: October 16, 2018. https://clinicaltrials.gov.
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Greater macrovascular and microvascular morbidity from type 2 diabetes in northern compared with southern China: A cross-sectional study.
Wang, L, Xing, Y, Yu, X, Ming, J, Liu, X, Li, X, Fu, J, Zhou, J, Gao, B, Hu, D, et al
Journal of diabetes investigation. 2020;(5):1285-1294
Abstract
AIMS/INTRODUCTION There are substantial differences in genes, diet, culture and environment between the northern and southern Chinese populations, which might influence treatment strategy and screening policy. We studied the differences in type 2 diabetes and diabetic complications between northern and southern China. MATERIALS AND METHODS We carried out a cross-sectional survey using data from the China Cardiometabolic Registries on blood pressure, blood lipids and blood glucose in 25,398 Chinese type 2 diabetes patients. Macrovascular, microvascular and other complications were collected by self-report or medical records, and then divided into the northern and southern groups by the boundary of the Yangtze River. RESULTS Northern patients were younger, and had heavier weight, greater body mass index and waist circumference, higher blood pressure, higher total cholesterol, higher low-density lipoprotein cholesterol, and higher hemoglobin A1C. The prevalence of cardiovascular, cerebrovascular and macrovascular complications were 1.76-fold, 1.24-fold and 1.47-fold more in northern than that in southern Chinese patients. In addition, the prevalence of diabetic nephropathy, retinopathy, neuropathy and microvascular complications in northern Chinese patients also increased. When stratified by age, the difference in both cardiovascular disease and ischemic stroke morbidity became significant, even in the 35-44 years age group. CONCLUSIONS More macrovascular and microvascular complications were found in northern compared with southern patients, and the largest difference also appeared in the younger age groups <55 years, which might be meaningful to a screening and treatment strategy according to geographic differences.
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Study protocol for the road to hierarchical diabetes management at primary care (ROADMAP) study in China: a cluster randomised controlled trial.
Jia, W, Zhang, P, Duolikun, N, Zhu, D, Li, H, Bao, Y, Li, X, Liu, Y, ,
BMJ open. 2020;(1):e032734
Abstract
INTRODUCTION Diabetes management in primary care remains suboptimal in China, despite its inclusion in the essential public health service (EPHS). We aimed to evaluate the effectiveness of a mobile health (mHealth) based and three-tiered diabetes management system in diverse Chinese contexts. METHODS AND ANALYSIS This is a cluster randomised controlled trial, named road to hierarchical diabetes management at primary care (ROADMAP). 19 008 patients with type 2 diabetes (T2D) were recruited from primary care clinics in 864 communities across 144 counties/districts of 24 provinces. Eligible participants were adult patients diagnosed with T2D and registered for diabetes management in communities. Patients within the same communities (clusters) were randomly allocated into the intervention or control arm for 1 year in a 2:1 ratio. The control arm patients received usual care as EPHS packaged: at least four blood glucose (BG) and blood pressure (BP) tests, and lifestyle and medication instruction, yearly, from primary care providers. The intervention arm patients received at least two BG and one BP tests, monthly, and lifestyle and treatment instruction from a three-tiered contracted team. A mHealth platform, Graded ROADMAP, enabled test results uploading and sharing, and patient referral within the team. The intervention participants will be further divided into basic or intensive intervention group according to whether they were actively using the Your Doctor App. The primary outcome is the BG control rate with glycated haemoglobin (HbA1c)<7.0%. Secondary outcomes include control rates and changes of ABC (HbA1c, BP and low-density lipoprotein cholesterol) and fasting BG, hypoglycaemia episodes and health-related quality of life (EuroQol (EQ-5D)). ETHICS AND DISSEMINATION The trial has been approved by the Institutional Review Board at Shanghai Sixth People's Hospital. Findings on the intervention effectiveness will be disseminated through peer-reviewed journals, conference presentations and other relevant mechanisms. TRIAL REGISTRATION NUMBER ChiCTR-IOC-17011325.
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Serum Vitamin D Affected Type 2 Diabetes though Altering Lipid Profile and Modified the Effects of Testosterone on Diabetes Status.
Wang, L, Liu, X, Hou, J, Wei, D, Liu, P, Fan, K, Zhang, L, Nie, L, Li, X, Huo, W, et al
Nutrients. 2020;(1)
Abstract
Numerous studies have investigated the associations between serum vitamin D or testosterone and diabetes; however, inconsistencies are observed. Whether there is an interaction between vitamin D and testosterone and whether the lipid profile (total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C)) mediates the association between vitamin D and diabetes is unclear. To investigate the effect of vitamin D and testosterone on impaired fasting glucose (IFG) or type 2 diabetes mellitus (T2DM), 2659 participants from the Henan Rural Cohort were included in the case-control study. Generalized linear models were utilized to estimate associations of vitamin D with IFG or T2DM and interactive effects of vitamin D and testosterone on IFG or T2DM. Principal component analysis (PCA) and mediation analysis were used to estimate whether the lipid profile mediated the association of vitamin D with IFG or T2DM. Serum 25(OH)D3, 25(OH)D2, and total 25(OH)D levels were negatively correlated with IFG (odds ratios (ORs) (95% confidence intervals (CIs)): 0.99 (0.97, 1.00), 0.85 (0.82, 0.88), and 0.97 (0.96, 0.98), respectively). Similarity results for associations between serum 25(OH)D2 and total 25(OH)D with T2DM (ORs (95%CIs): 0.84 (0.81, 0.88) and 0.97 (0.96, 0.99)) were observed, whereas serum 25(OH)D3 was negatively correlated to T2DM only in the quartile 2 (Q2) and Q3 groups (both p < 0.05). The lipid profile, mainly TC and TG, partly mediated the relationship between 25(OH)D2 or total 25(OH)D and IFG or T2DM and the proportion explained was from 2.74 to 17.46%. Furthermore, interactive effects of serum 25(OH)D2, total 25(OH)D, and testosterone on T2DM were observed in females (both p for interactive <0.05), implying that the positive association between serum testosterone and T2DM was vanished when 25(OH)D2 was higher than 10.04 ng/mL or total 25(OH)D was higher than 40.04 ng/mL. Therefore, ensuring adequate vitamin D levels could reduce the prevalence of IFG and T2DM, especially in females with high levels of testosterone.
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Association between Normal Thyroid Hormones and Diabetic Retinopathy in Patients with Type 2 Diabetes.
Zou, J, Li, Z, Tian, F, Zhang, Y, Xu, C, Zhai, J, Shi, M, Wu, G, Zhang, Z, Yang, C, et al
BioMed research international. 2020;:8161797
Abstract
The relationship between normal thyroid function and type 2 diabetes mellitus (T2DM) has been a particular focus for concern. The present study determined the relationship between thyroid hormone levels and the prevalence of diabetic retinopathy (DR) in T2DM patients. A cross-sectional study (n = 633) was performed in Xi'an, Shaanxi Province, China. Subjects were evaluated for anthropometric measurements, thyroid function, and diabetic retinopathy. Logistic regression models were used to assess the relationships between thyroid hormones and DR. Of 633 patients, 243 (38.4%) patients suffered from DR. The prevalence of DR showed a significantly decreasing trend across the quartiles based on free triiodothyronine (FT3) (FT3 quartile 1 group [FT3-Q1] <4.35 pmol/L, FT3 quartile 2 group [FT3-Q2] 4.35-4.70 pmol/L, FT3 quartile 3 group [FT3-Q3] 4.70-5.08 pmol/L, and FT3 quartile 4 group [FT3-Q4] ≥5.08 pmol/L) (56.7%, 42.5%, 33.1%, 23.8%, P < 0.001). In comparison with all participants categorized in FT3-Q1, the multivariable adjusted odds ratios (95% confidence interval) of DR in FT3-Q2, FT3-Q3, and FT3-Q4 were 0.587 (0.340-1.012), 0.458 (0.258-0.813), and 0.368 (0.201-0.673), (P = 0.055, P = 0.008, P = 0.001), respectively. FT3 levels within the normal range are negatively associated with DR in euthyroid patients with type 2 diabetes. Further studies should be aimed at clarifying the relationship between thyroid hormones and T2DM.
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Effects of SGLT2 inhibitors on fractures and bone mineral density in type 2 diabetes: An updated meta-analysis.
Li, X, Li, T, Cheng, Y, Lu, Y, Xue, M, Xu, L, Liu, X, Yu, X, Sun, B, Chen, L
Diabetes/metabolism research and reviews. 2019;(7):e3170
Abstract
BACKGROUND The aim of the study is to update and determine the effects of sodium glucose cotransporter 2 (SGLT2) inhibitor therapy on fracture and bone mineral density (BMD) in patients with type 2 diabetes mellitus (T2DM). METHODS We identified 27 eligible randomized controlled trials (RCTs) that compared the efficacy and safety of SGLT2 inhibitors to a placebo in 20 895 T2DM participants, with an average duration of 64.22 weeks. The relative risk (RR) of bone fracture and weighted mean difference (WMD) of changes in the BMD from baseline were determined to evaluate the risk of fracture. The degree of heterogeneity was evaluated by the I2 statistic, and publication bias was estimated using a funnel plot and Egger test. RESULTS The pooled RR was 1.02 (95% CI [0.81, 1.28]) with low heterogeneity, indicating that SGLT2 inhibitor treatment was not correlated with a higher risk of fracture. Additionally, no increased risk was found for patients with different ages, sexes, and levels of HbA1c and some biochemical indicators. Three trials with 1303 patients reported a change in the BMD from baseline. SGLT2 inhibitor treatment did not decrease the BMD at four skeletal sites (lumbar spine, femoral neck, total hip, and distal forearm), and the overall WMD was 0.08 (95% CI [-0.09, 0.26]). No significant publication bias was detected. CONCLUSIONS No increased risk for bone fracture was detected in patients with T2DM treated with SGLT2 inhibitors in this meta-analysis. SGLT2 inhibitor therapy did not appear to affect bone health, but more long-term detailed data are needed to validate this conclusion.