The clinical characteristics of Chinese elderly patients with different durations of type 2 diabetes mellitus

AimsTo explore the clinical characteristics among elderly (aged ≥60 years) patients with type 2 diabetes (T2DM) of different durations.MethodsClinical characteristics were investigated in 3840 elderly T2DM patients according to their different durations of diabetes (< 1 year, 1~5 years, 5~10 years, and ≥ 10 years). Kruskal-Wallis and Dunn tests were used to assess the differences among groups for continuous variables. The chi-square and post hoc tests were carried out for dichotomous variables. The logistic regression was adopted to investigate the relationships between various durations of diabetes and the control rates of achieving the control targets for T2DM as well as diabetic vascular complications.ResultsThere were 972, 896, 875 and 1097 patients with a duration of diabetes of <1, 1~5, 5~10 and ≥10 years, respectively. In logistic regression models adjusted for age, sex, education, BMI, smoking and family history of diabetes, elderly T2DM patients with a duration of diabetes of ≥10 years were more likely to reach the comprehensive control targets for TC (ORTC = 1.36, 95% CI =1.14-1.63), LDL-C (ORLDL-C = 1.39, 95% CI =1.17-1.66), TG (ORTG = 1.76, 95% CI =1.46-2.12) and BMI (ORBMI = 1.82, 95% CI =1.52-2.18). Elderly T2DM patients with a duration of diabetes of 1~5 years were more likely to achieve the HbA1c control target (ORHbA1c = 1.92, 95% CI = 1.59-2.31) than elderly T2DM patients with a duration of diabetes of <1 year. Furthermore, in elderly T2DM patients with a duration of diabetes of 5~10 years or ≥ 10 years, the duration of diabetes was positively associated with diabetic macrovascular complications (coronary heart disease and peripheral artery disease). In elderly T2DM patients with a duration of diabetes of over 10 years, the duration of diabetes was associated with diabetes kidney disease (all P < 0.05).ConclusionsIt is worth noting that the clinical characteristics of elderly patients with type 2 diabetes in different durations of diabetes are different

Cardiovascular risk and events in 17 low-, middle-, and high-income countries

BACKGROUND: More than 80% of deaths from cardiovascular disease are estimated to occur in low-income and middle-income countries, but the reasons are unknown. METHODS: We enrolled 156,424 persons from 628 urban and rural communities in 17 countries (3 high-income, 10 middle-income, and 4 low-income countries) and assessed their cardiovascular risk using the INTERHEART Risk Score, a validated score for quantifying risk-factor burden without the use of laboratory testing (with higher scores indicating greater risk-factor burden). Participants were followed for incident cardiovascular disease and death for a mean of 4.1 years. RESULTS: The mean INTERHEART Risk Score was highest in high-income countries, intermediate in middle-income countries, and lowest in low-income countries (P<0.001). However, the rates of major cardiovascular events (death from cardiovascular causes, myocardial infarction, stroke, or heart failure) were lower in high-income countries than in middle- and low-income countries (3.99 events per 1000 personyears vs. 5.38 and 6.43 events per 1000 person-years, respectively; P<0.001). Case fatality rates were also lowest in high-income countries (6.5%, 15.9%, and 17.3% in high-, middle-, and low-income countries, respectively; P = 0.01). Urban communities had a higher risk-factor burden than rural communities but lower rates of cardiovascular events (4.83 vs. 6.25 events per 1000 person-years, P<0.001) and case fatality rates (13.52% vs. 17.25%, P<0.001). The use of preventive medications and revascularization procedures was significantly more common in high-income countries than in middle- or low-income countries (P<0.001). CONCLUSIONS: Although the risk-factor burden was lowest in low-income countries, the rates of major cardiovascular disease and death were substantially higher in low-income countries than in high-income countries. The high burden of risk factors in highincome countries may have been mitigated by better control of risk factors and more frequent use of proven pharmacologic therapies and revascularization. (Funded by the Population Health Research Institute and others.)IS

Effectiveness of a clinic-based randomized controlled intervention for type 2 diabetes management: an innovative model of intensified diabetes management in Mainland China (C-IDM study)

ObjectivesHighly efficient diabetes management programs are needed for tackling diabetes in China. This study aimed to assess the effectiveness of a clinic-based intensified diabetes management model (C-IDM) in Mainland China.Research design and methodsA 2-year clinic-based randomized controlled trial was conducted among patients with type 2 diabetes in Nanjing, China. The C-IDM intervention components comprised four domains (disease targeting management, express referral channel, expert visit, patients’ self-management) and an integrated running system (disease control centers, general hospitals and local clinics). Control group participants received their usual care, while intervention participants received both the C-IDM package and the usual services. The primary outcome variable was change of hemoglobin A1c (HbA1c). Mixed-effects models were used to compute effect estimates and 95% CI with consideration of both individual and cluster-level confounders.ResultsOverall, 1095 of 1143 participants were assessed at study completion. The mean change in HbA1c was significantly greater in the intervention group than in the control group (mean difference (MD)=−0.57, 95% CI −0.79 to –0.36). Similar results were observed for change in body mass index (MD=−0.29, 95% CI −0.49 to –0.10). Participants in the intervention group were more likely to achieve normal HbA1c and body weight compared with their counterparts in control group after adjusting for potentially confounding variables (adjusted OR=1.94, 95% CI 1.35 to 2.81 and 1.79, 95% CI 1.13 to 2.85, respectively).ConclusionsThe C-IDM model is feasible and effective in large-scale management of patients with type 2 diabetes in China. It has public health implications for tackling the burden of diabetes in China.Trial registration numberChiCTR-IOR-15006019

The association between alcohol drinking and glycemic management among people with type 2 diabetes in China

Abstract Introduction To investigate the association between alcohol drinking and glycemic management among adult patients with type 2 diabetes in regional China. Materials and Methods In this cross‐sectional survey conducted in Nanjing Municipality of China in 2018, adult type 2 diabetes patients were randomly selected from urban and rural communities. The outcome variable was the glycemic management status. The explanatory measure was alcohol drinking. Mixed‐effects regression models were employed to estimate odds ratios (ORs) and 95% confidence interval (95% CI) for examining the associations of alcohol drinking with glycemic management among type 2 diabetes patients. Results Among the overall 5,663 participants, the glycemic management rate was 39.8% (95% CI = 38.5, 41.1), with 41.2% (95% CI = 39.7, 42.7), 43.9% (95% CI = 38.9, 48.8), and 34.1% (95% CI = 31.5, 36.7) for non‐drinkers, mild/moderate drinkers, and heavy drinkers, respectively. After adjustment for potential confounders and community‐level clustering effect, heavy and mild/moderate alcohol drinkers were at 0.76 (95% CI = 0.66, 0.89) and 1.04 (95% CI = 0.87, 1.28) times odds to have glycemia under control than non‐drinkers among the overall participants. Furthermore, when stratified separately by gender and use of anti‐diabetes agents, the scenario within men, either regular or irregular users of anti‐diabetes agents was the same as that for overall participants, while the association between alcohol drinking and glycemic management became non‐significant among women. Conclusions Heavy alcohol drinking might have a negative effect on glycemic management among patients with type 2 diabetes irrespective of the use of anti‐diabetes agents in regional China. This study has important public health implications regarding precision intervention on patients' glycemia control for type 2 diabetes management