We aimed to assess the growth, diabetes control, dietary intake and compliance with a gluten-free diet in children with insulin dependent diabetes mellitus (IDDM) and coeliac disease in a major paediatric and adolescent diabetes clinic. Children with IDDM and biopsy-proven coeliac disease aged <18 years were included and compared with IDDM controls matched for age, sex and duration of diabetes. Twenty patients with coeliac disease and IDDM participated (15 female, age 7.4-17.3 yr), with two matched IDDM controls for each (age 6.9-17.4 yr). The prevalence of coeliac disease in this diabetes clinic population was 2.6%. All patients completed a 3 day food record (3DFR) and a 7 day food frequency questionnaire (FFQ) to assess dietary intake and gluten-free compliance. Diabetes control measured by HbA1c was not different between groups or compared to the overall clinic population (8.48 +/- 0.98% for coeliac patients vs 8.87 +/- 1.46 for IDDM controls vs 8.60 +/- 1.30 for overall clinic population aged 5.0-17.9 yr). Height, weight and BMI standard deviation scores were not different between coeliac patients and IDDM controls. No clinically significant differences were found in intake of energy, macronutrients or micronutrients. The proportion of energy intake from carbohydrate, protein and fat was within recommended ranges, except for a higher saturated fat intake. Only 30% of coeliac patients complied with a strict gluten-free diet, but growth parameters were unaffected by dietary compliance. Thus, we found that children and adolescents with coexisting IDDM and coeliac disease have normal growth, equivalent diabetes control and no differences in energy or nutrient intake compared to matched IDDM controls in our clinic population.

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A 5-year prospective cohort study was conducted with 121,584 Chinese primary care patients with type 2 DM who were recruited between August 2009 and June 2011. Missing data were dealt with multiple imputations. After excluding patients with prior diabetes mellitus (DM)-related complications and one-to-one propensity score matching on all patient characteristics, 26,718 RAMP-DM participants and 26,718 matched usual care patients were followed up for a median time of 4.5 years. The effect of RAMP-DM on nine DM-related complications and all-cause mortality were evaluated using Cox regressions. The first incidence for each event was used for all models. Health service use was analyzed using negative binomial regressions. Subgroup analyses on different patient characteristics were performed. RESULTSThe cumulative incidence of all events (DM-related complications and all-cause mortality) was 23.2% in the RAMP-DM group and 43.6% in the usual care group. RAMP-DM led to significantly greater reductions in cardiovascular disease (CVD) risk by 56.6% (95% CI 54.5, 58.6), microvascular complications by 11.9% (95% CI 7.0, 16.6), mortality by 66.1% (95% CI 64.3, 67.9), specialist attendance by 35.0% (95% CI 33.6, 36.4), emergency attendance by 41.2% (95% CI 39.8, 42.5), and hospitalizations by 58.5% (95% CI 57.2, 59.7). Patients with low baseline CVD risks benefitted the most from RAMP-DM, which decreased CVD and mortality risk by 60.4% (95% CI 51.8, 67.5) and 83.6% (95% CI 79.3, 87.0), respectively. CONCLUSIONSThis naturalistic study highlighted the importance of early optimal DM control and risk factor management by risk stratification and multidisciplinary, protocol-driven, chronic disease model care to delay disease progression and prevent complications.

BackgroundSince diabetes mellitus (DM) is the leading cause of end stage renal disease (ESRD), this study aimed to develop a 5-year ESRD risk prediction model among Chinese patients with Type 2 DM (T2DM) in primary care.MethodsA retrospective cohort study was conducted on 149,333 Chinese adult T2DM primary care patients without ESRD in 2010. Using the derivation cohort over a median of 5 years follow-up, the gender-specific models including the interaction effect between predictors and age were derived using Cox regression with a forward stepwise approach. Harrell’s C-statistic and calibration plot were applied to the validation cohort to assess discrimination and calibration of the models.ResultsPrediction models showed better discrimination with Harrell’s C-statistics of 0.866 (males) and 0.862 (females) and calibration power from the plots than other established models. The predictors included age, usages of anti-hypertensive drugs, anti-glucose drugs, and Hemogloblin A1c, blood pressure, urine albumin/creatinine ratio (ACR) and estimated glomerular filtration rate (eGFR). Specific predictors for male were smoking and presence of sight threatening diabetic retinopathy while additional predictors for female included longer duration of diabetes and quadratic effect of body mass index. Interaction factors with age showed a greater weighting of insulin and urine ACR in younger males, and eGFR in younger females.ConclusionsOur newly developed gender-specific models provide a more accurate 5-year ESRD risk predictions for Chinese diabetic primary care patients than other existing models. The models included several modifiable risk factors that clinicians can use to counsel patients, and to target at in the delivery of care to patients.Electronic supplementary materialThe online version of this article (doi:10.1186/s12882-017-0671-x) contains supplementary material, which is available to authorized users.

BackgroundThe relative effect of hemoglobin A1c, blood pressure, and low‐density lipoprotein‐cholesterol (LDL‐C) (“ABC” factors) on the prevention of cardiovascular diseases (CVD) among patients with type 2 diabetes mellitus is poorly understood. This study aimed to evaluate the association of key clinical parameters on CVD risk using a multifactorial optimal control approach in Chinese primary care patients with type 2 diabetes mellitus.Methods and ResultsA population‐based retrospective cohort study was conducted on 144 271 Chinese type 2 diabetes mellitus primary care patients, aged 18 to 79 and without prior clinical diagnosis of CVD in 2008–2011. Cox regressions were conducted to examine the association between the combinations of ABC targets (hemoglobin A1c <7%, blood pressure <130/90 mm Hg, and LDL‐C <2.6 mmol/L) and risks of CVD (overall), coronary heart disease, stroke, and heart failure. Achieving more ABC targets incrementally reduced the incidence of total CVD and individual disease including coronary heart disease, stroke, and heart failure, irrespective of other patient characteristics. Compared with suboptimal control in all ABC levels, achieving any 1, 2, and all 3 ABC targets reduced the relative risk of CVD by 13% to 42%, 31% to 52%, and 55%, respectively. Among those achieving only 1 ABC target, LDL‐C reduction was associated with the greatest CVD risk reduction (42%), followed by blood pressure reduction (18%), and hemoglobin A1c reduction (13%).ConclusionsTo achieve the greatest risk reduction for the incidence of CVD, the ultimate goal of treatment should be to achieve target control of hemoglobin A1c, blood pressure, and LDL‐C. If it is not possible to achieve all 3 targets, efforts should be prioritized on treating the LDL‐C to minimize CVD risk.