Risk factors in V-shaped risk associations with all-cause mortality in type 2 diabetes-The Hong Kong Diabetes Registry

Higher incidence of cardiovascular-kidney complications in Chinese with youth-onset type 2 diabetes versus youth-onset type 1 diabetes attenuated by control of cardio-metabolic risk factors: a population-based prospective cohort study in Hong Kong

AIMS

To determine and compare the incidence of diabetes complications in Chinese with youth-onset type 2 and type 1 diabetes.

METHODS

We conducted a population-based prospective cohort study, including 1,260 people with type 2 diabetes and 1,227 with type 1 diabetes diagnosed at age <20 years who underwent metabolic and complication assessment in Hong Kong Hospital Authority between 2000 and 2018. They were followed for incident cardiovascular disease (CVD), end-stage kidney disease (ESKD) and all-cause death until 2019. Multivariable Cox regression analysis was applied to compare the risks of these complications in type 2 versus type 1 diabetes.

RESULTS

People with type 1 diabetes (median age: 20 years, median diabetes duration: 9 years) and type 2 diabetes (median age: 21 years, median diabetes duration: 6 years) were followed for a mean period of 9.2 and 8.8 years respectively. The risks of CVD (HR [95% CI] 1.66 [1.01-2.72]) and ESKD (HR 1.96 [1.27-3.04]) but not death (HR 1.10 [0.72-1.67]) were higher in type 2 versus type 1 diabetes, adjusted for age at diagnosis, diabetes duration and sex. The association became nonsignificant with further adjustment for glycaemic and metabolic control. Youth-onset type 2 diabetes conferred mortality excess (standardized mortality ratio 4.15 [3.28-5.17]) to age- and sex-matched general population.

CONCLUSIONS

People with youth-onset type 2 diabetes had higher incidence rates of CVD and ESKD than type 1 diabetes. The excess risks in type 2 diabetes were removed after adjusted for cardio-metabolic risk factors.

Impact of elevated body mass index on burn injury-associated mortality in a representative US sample

BACKGROUND

The impact of obesity on burn-related mortality is inconsistent and incongruent; despite being a risk factor for numerous comorbidities that would be expected to increase complications and worsen outcomes, there is evidence of a survival advantage for patients with high body mass index-the so-called obesity paradox. We used a national data set to explore further the relationship between body mass index and burn-related mortality.

METHODS

Deidentified data from patients with second and third-degree burns between 2014 and 2018 were obtained from the Cerner Health Facts Database. Univariate and multivariate regression models were created to identify potential factors related to burn-related mortality. A restricted cubic spline model was built to assess the nonlinear association between body mass index and burn-related mortality. All statistical analyses were conducted using R (R Foundation for Statistical Computing).

RESULTS

The study included 9,405 adult burn patients. Univariate and multivariate analyses revealed that age (odds ratio = 2.189 [1.771, 2.706], P < .001), total burn surface area (odds ratio = 1.824 [1.605, 2.074], P < .001), full-thickness burns (odds ratio = 1.992 [1.322, 3.001], P < .001), and comorbidities (odds ratio = 2.03 [1.367, 3.014], P < .001) were associated with increased mortality. Sensitivity analysis showed similar results. However, a restricted cubic spline indicated a U-shaped relation between body mass index and burn-related mortality. The nadir of body mass index was 28.92 kg/m², with the lowest mortality. This association persisted even after controlling for age, total burn surface area, full-thickness burns, and comorbidities, which all remained significant.

CONCLUSION

This study confirms a U-shaped association between body mass index and burn-related mortality along with age, total burn surface area, full-thickness burns, and comorbidities as risk factors.

Detection of increased serum miR-122-5p and miR-455-3p levels before the clinical diagnosis of liver cancer in people with type 2 diabetes

People with type 2 diabetes (T2D) have increased cancer risk. Liver cancer (LC) has a high prevalence in East Asia and is one of the leading causes of cancer death globally. Diagnosis of LC at early stage carries good prognosis. We used stored serum from patients of Hong Kong Diabetes Register before cancer diagnosis to extract RNA to screen for microRNA markers for early detection of LC in T2D. After screening with Affymetrix GeneChip microarray with serum RNA from 19 incident T2D LC (T2D-LC), 20 T2D cancer free (T2D-CF) and 20 non-T2D non-cancer patients, top signals were validated in a 3-group comparison including 1888 T2D-CF, 127 T2D-LC, and 487 T2D patients with non-liver cancer patients using qPCR. We detected 2.55-fold increase in miR-122-5p and 9.21-fold increase in miR-455-3p in the T2D-LC group. Using ROC analysis, miR-122-5p and miR-455-3p jointly predicted LC with an area under the curve of 0.770. After adjustment for confounders, each unit increase of miR-455-3p increased the odds ratio for liver cancer by 1.022. Increased serum levels of miR-122-5p and miR-455-3p were independently associated with increased risk of incident LC in T2D and may serve as potential biomarkers for early detection of LC in T2D.

Dual effects of insulin resistance on mortality and function in non-diabetic older adults: findings from the Toledo Study of Healthy Aging

Insulin signalling declines with increasing age and impacts skeletal muscle function and longevity in animal models. Our aim was to assess the relationships between insulin resistance (IR) and frailty and mortality in a unique community-dwelling cohort of older people. 991 non-diabetic subjects from the Toledo Study of Healthy Ageing (TSHA) cohort were included. IR was estimated by the homeostasis model assessment index (HOMA-IR) at baseline while frailty was determined by frailty phenotype (FP) and Frailty Trait Scale (FTS) at baseline and after 5-year follow-up. Deaths were also determined. Multivariate regression models were used to analyze the effects of HOMA-IR on outcomes. Age, gender, BMI, education level, cardio- and cerebro-vascular disease, glomerular filtration rate, and disability were included as potential confounding variables in progressive adjustment models. IR determined as increasing log HOMA-IR was inversely associated with risk of mortality. The association remained significant for all adjustment models (HR: 0.64-0.69). When we analyzed survival curves, the higher the HOMA-IR tertile, the lower the mortality rate (highest vs lowest tertile, p = 0.0082). In contrast, IR increased the risk of incident frailty determined by FP (OR 1.81 [1.14-2.87]) as well as deterioration of frailty status determined by worsening in FTS score (OR 1.28 [1.01-1.63]) at 5-year follow-up. In non-diabetic older subjects, IR significantly increases the risk for frailty and functional decline but decreased the risk of death at 5-year follow-up. This finding raises the need of assessing the effect of biomarkers on different outcomes before establishing their role as biomarkers of aging.

Projected impact of diabetes on the Costa Rican healthcare system

INTRODUCTION

Costa Rica, similar to many other Latin American countries is undergoing population aging at a fast pace. As a result of the epidemiological transition, the prevalence of diabetes has increased. This condition impacts not only individual lives, but also the healthcare system. The goal of this study is to examine the expected impact of diabetes, in terms of economic costs on the healthcare system and lives lost. We will also project how long it will take for the number of elderly individuals who are diabetic to double in Costa Rica.

METHODS

CRELES (Costa Rican Longevity and Healthy Aging Study), a three-wave nationally representative longitudinal study, is the main source of data for this research (n = 2827). The projected impact of diabetes was estimated in three ways: length of time for the number of elderly individuals with diabetes to double; projected economic costs of diabetes-related hospitalizations and outpatient care; and years of life lost to diabetes at age 60. Data analyses and estimations used multiple regression models, longitudinal regression models, and Lee-Carter stochastic population projections.

RESULTS

Doubling time of the diabetic elderly population is projected to occur in 13 calendar years. This will cause increases in hospitalization and outpatient consultation costs. The impact of diabetes on life expectancy at age 60 around the year 2035 is estimated to lead to a loss of about 7 months of life. The rapid pace at which the absolute number of elderly people with diabetes will double is projected to result in a negative economic impact on the healthcare system. Lives will also be lost due to diabetes.

CONCLUSION

Population aging will inevitably lead to an increasing number of elderly individuals, who are at greater risk for diabetes due to their lifelong exposure to risk factors. Actions to increase the quality of life of diabetic elderly are warranted. Decreasing the burden of diabetes on elderly populations and the Costa Rican healthcare system are necessary to impact the quantity and quality of life of incoming cohorts. Health promotion and prevention strategies that reduce diabetes risk factors are needed to improve the health of elderly populations.

Secular trends in all-cause and cause-specific mortality rates in people with diabetes in Hong Kong, 2001-2016: a retrospective cohort study

AIMS/HYPOTHESIS

The aim of the study was to describe trends in all-cause and cause-specific mortality rates in Hong Kong Chinese people with diabetes from 2001 to 2016.

METHODS

The Hong Kong Diabetes Surveillance Database (HKDSD) is a territory-wide diabetes cohort identified from the Hong Kong Hospital Authority electronic medical record system. Deaths between 2001 and 2016 were identified from linkage to the Hong Kong Death Registry. We used Joinpoint regression analysis to describe mortality patterns among people with diabetes by age and sex, and standardised mortality ratios (SMRs) to compare all-cause mortality rates in people with and without diabetes.

RESULTS

Between 2001 and 2016, a total of 390,071 men and 380,007 women aged 20 years or older with diabetes were included in the HKDSD. There were 96,645 deaths among men and 88,437 deaths among women. Mortality rates for all-cause, cardiovascular disease and cancer among people with diabetes declined by 52.3%, 72.2% and 65.1% in men, respectively, and by 53.5%, 78.5% and 59.6% in women, respectively. Pneumonia mortality rates remained stable. The leading cause of death in people with diabetes has shifted from cardiovascular disease to pneumonia in the oldest age group, with cancer remaining the most common cause of death in people aged 45-74 years. The all-cause SMRs for men declined from 2.82 (95% CI 2.72, 2.94) to 1.50 (95% CI 1.46, 1.54), and for women, they declined from 3.28 (95% CI 3.15, 3.41) to 1.67 (95% CI 1.62, 1.72). However, among people aged 20-44 years, the declines in all-cause mortality rates over the study period were not statistically significant for both men (average annual per cent change [AAPC]: -3.2% [95% CI -7.3%, 1.0%]) and women (AAPC: -1.2% [95% CI -6.5%, 4.4%]). The SMRs in people aged 20-44 years fluctuated over time, between 7.86 (95% CI 5.74, 10.5) in men and 6.10 (95% CI 3.68, 9.45) in women in 2001, and 4.95 (95% CI 3.72, 6.45) in men and 4.92 (95% CI 3.25, 7.12) in women in 2016.

CONCLUSIONS/INTERPRETATION

Absolute and relative mortality has declined overall in people with diabetes in Hong Kong, with less marked improvements in people under 45 years of age, calling for urgent action to improve care in young people with diabetes.

Association between Body Mass Index and Stroke Risk Among Patients with Type 2 Diabetes

CONTEXT

Very few studies focused on the association between body mass index (BMI) and stroke risk among patients with diabetes.

OBJECTIVE

We aimed to investigate the association between BMI and stroke risk in patients with type 2 diabetes.

DESIGN

Demographic, anthropometric, laboratory, and medication information were extracted from the National Patient-Centered Clinical Research Network common data model.

PARTICIPANTS

We performed a retrospective cohort study of 67 086 patients with type 2 diabetes.

MAIN OUTCOME MEASURES

Incident stroke including both ischemic and hemorrhagic stroke were defined.

RESULTS

During a mean follow up of 3.74 years. 8918 incident stroke events occurred. Multivariable-adjusted hazard ratios across different categories of BMI at baseline (18.5-24.9 [reference group], 25.0-29.9, 30.0-34.9, 35.0-39.9, and ≥40 kg/m2) were 1.00, 0.92, 0.85, 0.74, and 0.63 (Ptrend <0.001) for total stroke; 1.00, 0.93, 0.88, 0.77, and 0.65 (Ptrend <0.001) for ischemic stroke; and 1.00, 0.79, 0.50, 0.50, and 0.41 (Ptrend <0.001) for hemorrhagic stroke, respectively. When we used an updated mean value of BMI, the graded inverse association of body mass index with stroke risk did not change. This linear association was consistent among patients of different subgroups. Further sensitivity analysis excluding patients who were diagnosed stroke within 6 months after first diagnosis of type 2 diabetes or including non-smokers only also confirmed our findings.

CONCLUSION

The present study found an inverse association between BMI and the risk of total, ischemic, and hemorrhagic stroke among patients with type 2 diabetes. More clinical and molecular insights are still needed in explaining these findings.

Relationship of Obesity to Adverse Events Among Patients With Mean 10-Year History of Type 2 Diabetes Mellitus: Results of the ACCORD Study

Background

Recent evidence from cohort studies and meta‐analyses suggests that the obesity paradox phenomenon may exist in patients with diabetes mellitus. The goal of this study was to assess the association between adverse events and obesity by using 2 different measures of obesity, body mass index (BMI; kg/m²) and waist circumference, in patients with a mean 10‐year history of type 2 diabetes mellitus.

Methods and Results

We used data from the ACCORD (the Action to Control Cardiovascular Risk in Diabetes) study to evaluate the relationship between obesity and adverse events in patients with a mean 10‐year history of type 2 diabetes mellitus. The primary outcome of this study was all‐cause mortality. Secondary outcomes were cardiac death, nonfatal myocardial infarction, and stroke. Patients who were class III obese with BMI ≥40 had the highest risk of all‐cause mortality, followed by patients with class II obesity, whereas overweight patients had the lowest risk. We found significant correlations between BMI and waist circumference (r=0.802). We observed that the relationships between waist circumference and primary and second end points were much like the relationships between BMI and primary and second end points (J‐shaped relationship for all‐cause mortality, V‐shaped relationship for cardiac death, U‐shaped relationship for nonfatal myocardial infarction, and reverse linear relationship for noncardiac death).

Conclusions

No evidence of the obesity paradox was observed in patients with a 10‐year history of diabetes mellitus. Class III obese patients showed the highest risk of adverse events (all‐cause mortality, cardiac death, nonfatal myocardial infarction, and noncardiac death). BMI and waist circumference showed similar relationships with adverse events.

Clinical Trial Registration

URL: http://www.clinicaltrials.gov. Unique identifier: NCT00000620.

Body mass index and the risk of mortality among Chinese adults with Type 2 diabetes

AIMS

To examine the associations between BMI and the risks of all-cause, cardiovascular disease (CVD)-specific and cancer-specific mortality among people with Type 2 diabetes, and thus provide recommendations for weight management in the population.

METHODS

This retrospective cohort study was conducted among 52 763 people with newly diagnosed Type 2 diabetes between 1 January 2004 and 31 December 2014 in Shanghai, China. All cases of death were identified by linking to the Shanghai Vital Statistics. Some 52 488 people were included in the analysis. Survival curves for people with different BMI categories were plotted using the Kaplan-Meier method. Cox proportional hazard models within or without restricted cubic spline functions were applied to examine the potential non-linear or linear relationship between BMI and the risk of mortalities respectively.

RESULTS

A total of 4777 deaths were identified during an average of 6-year follow-up. An L-shaped association was observed between BMI and all-cause mortality in men (P for overall association < 0.001 and P for non-linearity < 0.001) while a U-shaped association was found in women (P for overall association < 0.001 and P for non-linearity< 0.001). In men, no significant association was observed for BMI with cancer-specific and CVD-specific mortality. In women, an increased risk of cancer-specific mortality was observed with increasing BMI, whereas decreasing BMI was associated with the increased CVD-specific mortality rate.

CONCLUSION

The increased all-cause mortality in men with low BMI and in women with either low or high BMI indicate the importance of keeping BMI in a normal range for Chinese adults with Type 2 diabetes.

Bile acid metabolites in early pregnancy and risk of gestational diabetes in Chinese women: A nested case-control study

Background

Bile acid metabolism plays an important role in metabolism but it is uncertain whether bile acid metabolites in early pregnancy are associated with risk of gestational diabetes mellitus (GDM).

Methods

We organized a 1:1 case-control study nested in a prospective cohort of 22,302 pregnant women recruited from 2010 to 2012 in China: 243 women with GDM were matched with 243 non-GDM controls on age (±1 year). Conditional logistic regression and restricted cubic spline were used to examine full-range associations of bile acid metabolites with GDM.

Findings

All the 9 detectable bile acids were inversely associated with the risk of GDM, among them, 8 in nonlinear and one in largely linear manners in multivariable analysis. Glycoursodeoxycholic acid (GUDCA) at ≤0.07 nmol/mL and deoxycholic acid (DCA) at ≤0.28 nmol/mL had threshold effects and their decreasing levels below the cutoff points were associated with rapid rises in the risk of GDM. In traditional risk factor model, the stepwise procedure identified that GUDCA ≤ 0.07 nmol/mL and DCA ≤ 0.280 nmol/mL were still significant (OR: 6.84, 95%CI: 1.10–42.48 & 2.06, 1.26–3.37), while other bile acids were not. Inclusion of the two bile acids in the model increased the area under operating characteristic's curve from 0.69 to 0.76 (95% CI: 0.71–0.80) (P < .05).

Interpretation

Serum GUDCA ≤ 0.07 nmol/mL and DCA ≤ 0.28 nmol/mL in early pregnancy were independently associated with increased risk of GDM in Chinese pregnant women.

Funding

Talent Recruitment Scheme grant of Tianjin Medical University and National Key Research and Development Program, etc.

Body mass index and risk of all-cause mortality with normoglycemia, impaired fasting glucose and prevalent diabetes: results from the Rural Chinese Cohort Study

BACKGROUND

Previous evidence of an association between body mass index (BMI) and mortality in patients with diabetes was inconsistent. The BMI-mortality association with normal fasting glucose (NFG), impaired fasting glucose (IFG) and prevalent diabetes is still unclear in the Chinese population.

METHODS

We analysed data for 17 252 adults from the Rural Chinese Cohort Study during 2007-2008 and followed for mortality during 2013-2014. Participants were classified with NFG, IFG and diabetes according to baseline measurement values of fasting glucose and self-reported diabetes. Multivariable Cox proportional hazard models were used to calculate HRs and 95% CIs across BMI categories by glycemic status.

RESULTS

During the 6-year follow-up, 1109 participants died (563/10 181 with NFG, 349/5572 with IFG and 197/1499 with diabetes). The BMI-mortality association was curvilinear, with low BMI (even in normal range) associated with increased mortality regardless of glycemic status. In adjusted Cox models, risk of mortality showed a decreasing trend with BMI≤18 kg/m², 18<BMI≤20 kg/m² and 20<BMI≤22 kg/m² vs 22<BMI≤24 kg/m²: HR 2.83 (95% CI 1.78 to 4.51), 2.05 (1.46 to 2.87) and 1.45 (1.10 to 1.90), respectively, for NFG; 2.53 (1.25 to 5.14), 1.36 (0.86 to 2.14) and 1.09 (0.76 to 1.57), respectively, for IFG; and 4.03 (1.42 to 11.50), 2.00 (1.05 to 3.80) and 1.52 (0.88 to 2.60), respectively, for diabetes. The risk of mortality was lower for patients with diabetes who were overweight or obese versus normal weight.

CONCLUSIONS

Low BMI was associated with increased mortality regardless of glycemic status. Future studies are needed to explain the 'obesity paradox' in patients with diabetes.

Epidemiology of diabetes and diabetic complications in China

The People's Republic of China (herein referred to as China) has witnessed one of the most dramatic rises in diabetes prevalence anywhere in the world. The latest epidemiological study suggests that approximately 11% of the population has diabetes, with a significant proportion remaining undiagnosed. Risk factors for diabetes in the Chinese population are similar to those in other populations, though gestational diabetes and young-onset diabetes is becoming increasingly common. Data on the prevalence of diabetic complications remain limited, though cardio-renal complications account for significant morbidity and mortality. Other diabetes-related comorbidities are becoming increasingly common, with cancer emerging as a major cause of mortality among individuals with diabetes. There are many challenges and obstacles that impede effective diabetes prevention and the delivery of care, though much progress has occurred over recent years. Lessons learnt from how China has responded to the challenges posed by the diabetes epidemic will be invaluable for other countries facing the many threats of diabetes and its complications.

Body mass index and mortality in patients with and without diabetes mellitus

OBJECTIVE

Investigate the association between body mass index (BMI), length of stay (LOS), and mortality in hospitalized patients with and without diabetes mellitus (DM).

METHODS

Historical prospectively collected data of adult patients hospitalized between 2011 and 2013. Body mass index was calculated according to measurement or self-report on admission and classified as follows: underweight (<18.5), normal weight (18.5-24.9), overweight (25-29.9), obese (30-34.9), and severely obese (≥35). The main outcomes were LOS, in-hospital, and end-of-follow-up mortality.

RESULTS

Cohort included 24 233 patients (53% male; mean age ± SD, 65 ± 18), including 7397 patients with DM (31%). Among patients with normal BMI, LOS was shorter compared with underweight patients, but it was longer compared with overweight and obese patients. Following multivariate adjustment, this difference remained significant only for patients with DM. There was a significant interaction between DM status and BMI group, in the models for in-hospital and end-of-follow-up mortality. Compared with normal BMI, in-hospital mortality risk was increased by 80% and 100% for the underweight with and without DM, respectively. For patients with and without DM, in-hospital mortality risk was 30% to 40% lower among overweight and obese patients, and there was no difference between severely obese and normal weight patients. At the end-of-follow-up, mortality risk was 1.6-fold and 1.7-fold higher among underweight patients with and without DM, respectively. For overweight, obese, and severely obese patients, mortality risk was decreased by 30% to 40% in those with DM and by 20% to 30% in those without DM.

CONCLUSIONS

In hospitalized patients with and without DM, there was an inverse association between BMI and mortality.

Evolution of Diabetes Care in Hong Kong: From the Hong Kong Diabetes Register to JADE-PEARL Program to RAMP and PEP Program

The rapid increase in diabetes prevalence globally has contributed to large increases in health care expenditure on diabetic complications, posing a major health burden to countries worldwide. Asians are commonly observed to have poorer β-cell function and greater insulin resistance compared to the Caucasian population, which is attributed by their lower lean body mass and central obesity. This "double phenotype" as well as the rising prevalence of young onset diabetes in Asia has placed Asians with diabetes at high risk of cardiovascular and renal complications, with cancer emerging as an important cause of morbidity and mortality. The experience from Hong Kong had demonstrated that a multifaceted approach, involving team-based integrated care, information technological advances, and patient empowerment programs were able to reduce the incidence of diabetic complications, hospitalizations, and mortality. System change and public policies to enhance implementation of such programs may provide solutions to combat the burgeoning health problem of diabetes at a societal level.

Nonlinear association of BMI with all-cause and cardiovascular mortality in type 2 diabetes mellitus: a systematic review and meta-analysis of 414,587 participants in prospective studies

AIMS/HYPOTHESIS

The relationship between BMI and mortality has been extensively investigated in the general population; however, it is less clear in people with type 2 diabetes. We aimed to assess the association of BMI with all-cause and cardiovascular mortality in individuals with type 2 diabetes mellitus.

METHODS

We searched electronic databases up to 1 March 2016 for prospective studies reporting associations for three or more BMI groups with all-cause and cardiovascular mortality in individuals with type 2 diabetes mellitus. Study-specific associations between BMI and the most-adjusted RR were estimated using restricted cubic splines and a generalised least squares method before pooling study estimates with a multivariate random-effects meta-analysis.

RESULTS

We included 21 studies including 24 cohorts, 414,587 participants, 61,889 all-cause and 4470 cardiovascular incident deaths; follow-up ranged from 2.7 to 15.9 years. There was a strong nonlinear relationship between BMI and all-cause mortality in both men and women, with the lowest estimated risk from 31-35 kg/m² and 28-31 kg/m² (p value for nonlinearity <0.001) respectively. The risk of mortality at higher BMI values increased significantly only in women, whilst lower values were associated with higher mortality in both sexes. Limited data for cardiovascular mortality were available, with a possible inverse linear association with BMI (higher risk for BMI <27 kg/m²).

CONCLUSIONS/INTERPRETATION

In type 2 diabetes, BMI is nonlinearly associated with all-cause mortality with lowest risk in the overweight group in both men and women. Further research is needed to clarify the relationship with cardiovascular mortality and assess causality and sex differences.

The Obesity Paradox in Type 2 Diabetes and Mortality

The obesity paradox for survival among individuals with type 2 diabetes has been observed in some but not all studies. Conflicting evidence for the role of overweight and obesity in all-cause mortality may largely be a result of differences in study populations, epidemiological methods, and statistical analysis. For example, analyses among populations with long-term prevalent diabetes and the accrual of other chronic health conditions are more likely to observe that the sickest participants have lower body weights, and therefore, relative to normal weight, overweight and even obesity appear advantageous. Other mortality risk factors, such as smoking, also confound the relationship between body weight and survival, but this behavior varies widely in intensity and duration, making it difficult to assess and effectively adjust for in statistical models. Disentangling the potential sources of bias is imperative in understanding the relevance of excess body weight to mortality in diabetes. In this review, we summarize methodological considerations underlying the observed obesity paradox. Based on the available evidence, we conclude that the obesity paradox is likely an artifact of biases, and once these are accounted for, it is evident that compared with normal body weight, excess body weight is associated with a greater mortality risk.

The Association Between Body Mass Index and All-Cause Mortality in Patients With Type 2 Diabetes Mellitus: A 5.5-Year Prospective Analysis

Abundances of study in different population have noted that obese cardiovascular disease (CVD) patients have a better prognosis than leaner patients, which refer to the phenomenon of obesity paradox. However, data on the association between body mass index (BMI) and mortality among Asian patients are limited, especially in patients with type 2 diabetes mellitus (T2DM). We investigate the association between BMI and all-cause mortality in Taiwanese patients with T2DM to define the optimal body weight for health.We conducted a longitudinal cohort study of 2161 T2DM patients with a mean follow-up period of 66.7 ± 7.5 months. Using Cox regression models, BMI was related to the risk of all-cause mortality after adjusting all confounding factors.A U-shaped association between BMI and all-cause mortality was observed among all participants. Those with BMIs <22.5 kg/m had a significantly elevated all-cause mortality as compared with those with BMIs 22.5 to 25.0 kg/m, (BMIs 17.5-20.0 kg/m: hazard ratio 1.989, P < 0.001; BMIs 20.0-22.5 kg/m: hazard ratio 1.286, P = 0.02), as did those with BMIs >30.0 kg/m (BMIs 30.0-32.5 kg/m: hazard ratio 1.670, P < 0.001; BMIs 32.5-35.0 kg/m: hazard ratio, 2.632, P < 0.001). This U-shaped association remained when we examined the data by sex, age, smoking, and kidney function.Our study found a U-shaped relationship between all-cause mortality and BMI in Asian patients with T2DM, irrespective of age, sex, smoking, and kidney function. BMI <30 kg/m should be regarded as a potentially important target in the weight management of T2DM.

Body mass index and heart failure among patients with type 2 diabetes mellitus

BACKGROUND

Epidemiological data on the association between body mass index (BMI) and heart failure (HF) risk among diabetic patients are rare.

METHODS AND RESULTS

We performed a prospective cohort study of risk for HF among 31 155 patients with type 2 diabetes mellitus (11 468 men and 19 687 women). Cox proportional hazards regression models were used to estimate the association of different levels of BMI with HF risk. During a mean follow-up of 7.8 years, 5834 subjects developed HF (2379 men and 3455 women). The multivariable-adjusted (age, race, smoking, income, and type of insurance) hazard ratios of HF associated with BMI levels (18.5-22.9, 23-24.9, 25-29.9 [reference group], 30-34.9, 35-39.9, and ≥40 kg/m(2)) at baseline were 0.95, 1.00, 1.00, 1.16, 1.64, and 2.02 (Ptrend<0.001) for men and 1.16, 1.16, 1.00, 1.23, 1.55, and 2.01 (Pnonlinear<0.001) for women, respectively. When we used an updated mean value of BMI, the association of HF risk with BMI did not change. When stratified by age, race, smoking status, and use of antidiabetic drugs, the positive associations among men and the J-shaped associations among women were still present.

CONCLUSIONS

Our study suggests a positive association between BMI and HF risk among men and a J-shaped association between BMI and HF risk among women with type 2 diabetes mellitus.

Body mass index and stroke risk among patients with type 2 diabetes mellitus

BACKGROUND AND PURPOSE

Previous studies have evaluated the association of body mass index (BMI) with the risk of all-cause and cardiovascular disease mortality among diabetic patients, and results were controversial. No studies have focused on the association between BMI and stroke risk among diabetic patients. We aimed to examine the association of BMI with stroke risk among diabetic patients.

METHODS

We performed a prospective cohort study with 29,554 patients with type 2 diabetes mellitus. Cox proportional hazards regression models were used to estimate the association of different levels of BMI with stroke risk.

RESULTS

During a mean follow-up period of 8.3 years, 2883 participants developed stroke (2821 ischemic and 109 hemorrhagic). The multivariable-adjusted (age, sex, race, smoking, income, and type of insurance) hazard ratios associated with different levels of BMI at baseline (18.5-24.9 [reference group], 25-29.9, 30-34.9, 35-39.9, and ≥40 kg/m(2)) were 1.00, 0.86, 0.83, 0.76, and 0.70 (Ptrend<0.001) for total stroke, 1.00, 0.87, 0.85, 0.78, and 0.72 (Ptrend <0.001) for ischemic stroke, and 1.00, 0.76, 0.72, 0.54, and 0.53 (Ptrend=0.034) for hemorrhagic stroke, respectively. When we used an updated mean or the last visit value of BMI, the inverse association of BMI with stroke risk did not change. This inverse association was consistent among patients of different races, sex, ages, HbA1c levels, never and current smoking, and patients with and without using glucose-lowering, cholesterol-lowering, or antihypertensive agents.

CONCLUSIONS

The present study demonstrates an inverse association between BMI and stroke risk among patients with type 2 diabetes mellitus.

BMI and coronary heart disease risk among low-income and underinsured diabetic patients

OBJECTIVE

The association between obesity and coronary heart disease (CHD) risk remains debatable, and no studies have assessed this association among diabetic patients. The aim of our study was to investigate the association between BMI and CHD risk among patients with type 2 diabetes.

RESEARCH DESIGN AND METHODS

The sample included 30,434 diabetic patients (10,955 men and 19,479 women) 30-95 years of age without a history of CHD or stroke in the Louisiana State University Hospital-Based Longitudinal Study.

RESULTS

During a mean follow-up period of 7.3 years, 7,414 subjects developed CHD. The multivariable-adjusted hazard ratios for CHD across levels of BMI at baseline (18.5-24.9, 25-29.9, 30-34.9, 35-39.9, and ≥40 kg/m(2)) were 1.00, 1.14 (95% CI 1.00-1.29), 1.27 (1.12-1.45), 1.54 (1.34-1.78), and 1.42 (1.23-1.64) (Ptrend < 0.001) in men and 1.00, 0.95 (0.85-1.07), 0.95 (0.84-1.06), 1.06 (0.94-1.20), and 1.09 (1.00-1.22) (Ptrend < 0.001) in women, respectively. When we used an updated mean or last visit value of BMI, the positive association between BMI and CHD risk did not change in men. However, the positive association of BMI with CHD changed to a U-shaped association in women when we used the last visit value of BMI.

CONCLUSIONS

Our study suggests that there is a positive association between BMI at baseline and during follow-up with the risk of CHD among patients with type 2 diabetes. We indicate a U-shaped association between BMI at the last visit and the risk of CHD among women with type 2 diabetes.

Diabetes in China: a societal solution for a personal challenge

China has a large burden of diabetes: in 2013, one in four people with diabetes worldwide were in China, where 11·6% of adults had diabetes and 50·1% had prediabetes. Many were undiagnosed, untreated, or uncontrolled. This epidemic is the result of rapid societal transition that has led to an obesogenic environment against a backdrop of traditional lifestyle and periods of famine, which together puts Chinese people at high risk of diabetes and multiple morbidities. Societal determinants including social disparity and psychosocial stress interact with factors such as low-grade infection, environmental pollution, care fragmentation, health illiteracy, suboptimal self-care, and insufficient community support to give rise to diverse subphenotypes and consequences, notably renal dysfunction and cancer. In the China National Plan for Non-Communicable Disease Prevention and Treatment (2012-15), the Chinese Government proposed use of public measures, multisectoral collaborations, and social mobilisation to create a health-enabling environment and to reform the health-care system. While awaiting results from these long-term strategies, we advocate the use of a targeted and proactive approach to identify people at high risk of diabetes for prevention, and of private-public-community partnerships that make integrated care more accessible and sustainable, focusing on registry, empowerment, and community support. The multifaceted nature of the societal and personal challenge of diabetes requires a multidimensional solution for prevention in order to reduce the growing disease burden.

Body mass index and the risk of all-cause mortality among patients with type 2 diabetes mellitus

BACKGROUND

Several prospective studies have evaluated the association between body mass index (BMI) and death risk among patients with diabetes mellitus; however, the results have been inconsistent.

METHODS AND RESULTS

We performed a prospective cohort study of 19 478 black and 15 354 white patients with type 2 diabetes mellitus. Cox proportional hazards regression models were used to estimate the association of different levels of BMI stratification with all-cause mortality. During a mean follow-up of 8.7 years, 4042 deaths were identified. The multivariable-adjusted (age, sex, smoking, income, and type of insurance) hazard ratios for all-cause mortality associated with BMI levels (18.5-22.9, 23-24.9, 25-29.9, 30-34.9 [reference group], 35-39.9, and ≥40 kg/m(2)) at baseline were 2.12 (95% confidence interval [CI], 1.80-2.49), 1.74 (95% CI, 1.46-2.07), 1.23 (95% CI, 1.08-1.41), 1.00, 1.19 (95% CI, 1.03-1.39), and 1.23 (95% CI, 1.05-1.43) for blacks and 1.70 (95% CI, 1.42-2.04), 1.51 (95% CI, 1.27-1.80), 1.07 (95% CI, 0.94-1.21), 1.00, 1.07 (95% CI, 0.93-1.23), and 1.20 (95% CI, 1.05-1.38) for whites, respectively. When stratified by age, smoking status, patient type, or the use of antidiabetic drugs, a U-shaped association was still present. When BMI was included in the Cox model as a time-dependent variable, the U-shaped association of BMI with all-cause mortality risk did not change.

CONCLUSIONS

The present study indicated a U-shaped association of BMI with all-cause mortality risk among black and white patients with type 2 diabetes mellitus. A significantly increased risk of all-cause mortality was observed among blacks with BMI <30 kg/m(2) and ≥35 kg/m(2) and among whites with BMI <25 kg/m(2) and ≥40 kg/m(2) compared with patients with BMI of 30 to 34.9 kg/m(2).

Severe hypoglycemia identifies vulnerable patients with type 2 diabetes at risk for premature death and all-site cancer: the Hong Kong diabetes registry

OBJECTIVE We examined the associations of clinical profiles in type 2 diabetic patients who developed severe hypoglycemia and their clinical outcomes, including death and all-site cancer. RESEARCH DESIGN AND METHODS A consecutive cohort of 8,767 type 2 diabetic patients with and without severe hypoglycemia in the 12 months before enrollment were recruited between 1995 and 2007, with follow-up until 2009. Severe hypoglycemia was defined by ICD-9 codes as hospitalizations resulting from hypoglycemia. Cox proportional hazards regression was used to calculate the hazard ratio (HR) and 95% CIs of clinical factors collected at enrollment for severe hypoglycemia. RESULTS In this cohort, mean age was 57.4 (SD 13.2) years and median disease duration of diabetes was 5 (interquartile range [IQR] 1-11) years. During a median follow-up of 6.71 (IQR 3.47-10.38) years, 235 patients had severe hypoglycemia (incidence 3.96 [95% CI 3.45-4.46] per 1,000 patient-years). At enrollment, patients with and without severe hypoglycemia had similar cancer rates. During follow-up, patients with severe hypoglycemia had a higher incidence of all-site cancer (13.4 vs. 6.4%, P < 0.0001) and mortality (32.8 vs. 11.2%, P < 0.0001) than those without severe hypoglycemia. After adjusting for confounders, old age, low BMI, high glycated hemoglobin, low triglyceride (TG), low LDL cholesterol (LDL-C), albuminuria, and chronic kidney disease were independent predictors for severe hypoglycemia. CONCLUSIONS In type 2 diabetes, severe hypoglycemia is associated with advanced age, renal dysfunction, poor glycemic control, and cancer subphenotypes (low BMI, low LDL-C, and low TG).

Diabetes in the Western Pacific Region--past, present and future

In the 2013 issue of the International Diabetes Federation (IDF) Diabetes Atlas, the prevalence of diabetes in the Western Pacific (WP) Region was reported to be 8.6% in 2013, or 138 million adults, and estimated to rise to 11.1%, or 201 million adults, in 2035. The prevalence estimates of impaired glucose tolerance in 2013 and 2035 were 6.8% and 9.0%, respectively. Over 50% of people with diabetes were undiagnosed. In 2013, 187 million deaths were attributable to diabetes, 44% of which occurred in the under the age of 60. The WP Region is home to one quarter of the world's population, and includes China with the largest number of people with diabetes as well as Pacific Islands countries with the highest prevalence rates. There is a rapid increase in diabetes prevalence in the young-to-middle aged adults, possibly driven by high rates of childhood obesity and gestational diabetes as well as rapid demographic and sociocultural transitions. Differences in genetics, ethnicity, cultures and socioeconomic development have led to complex host-environment-lifestyle interactions with marked disease heterogeneity, further influenced by access to care and treatment. Despite these challenges, the WP Region has provided notable examples to prevent and control diabetes.

The importance of waist circumference and BMI for mortality risk in diabetic adults

OBJECTIVE

We aimed to determine the associations of waist circumference (WC) and BMI with all-cause mortality among patients with diabetes.

RESEARCH DESIGN AND METHODS

The sample included 847 white and 553 African American patients (18-69 years of age) with diabetes. Height, weight, and WC were measured, and the BMI (kg/m2) was calculated. Cox regression was used to analyze the associations of BMI and WC with mortality, adjusting for age, sex, race, examination year, smoking status, alcohol consumption, and physical activity. Hazard ratios (HRs) are expressed per standard deviation of each independent variable.

RESULTS

A total of 86 deaths occurred during 6.7 years of follow-up. After adjustment for covariates, WC (HR 1.40 [95% CI 1.14-1.72]) and BMI (1.29 [1.04-1.61]) demonstrated significant relationships with mortality.

CONCLUSIONS

The results indicate that maintaining a healthy WC and BMI are both important for individuals living with diabetes.

Diabetes and its comorbidities--where East meets West

Fetal programming associated with in utero exposure to maternal stress is thought to alter gene expression, resulting in phenotypes that promote survival in a pathogen-rich and nutrient-poor environment but substantially increase the risk of cardiovascular, metabolic and renal disorders (such as diabetes mellitus) in adults with obesity. These (epi)genetic phenomena are modified by environmental and socioeconomic factors, resulting in multiple subphenotypes and clinical consequences. In individuals from areas undergoing rapid economic development, which is associated with a transition from communicable to noncommunicable diseases, an efficient innate immune response can exaggerate obesity-associated inflammation. By contrast, in individuals with a genetic predisposition to autoimmune or monogenic diabetes mellitus, obesity can lead to atypical presentation of diabetes mellitus, termed 'double diabetes mellitus'. The increasingly young age at diagnosis of diabetes mellitus in developing countries results in prolonged exposure to glucolipotoxicity, low-grade inflammation and increased oxidative stress, which put enormous strain on pancreatic β cells and renal function. These conditions create a metabolic milieu conducive to cancer growth. This Review discusses how rapid changes in technology and human behaviour have brought on the global epidemic of metabolic diseases, and suggests that solutions will be based on using system change, technology and behavioural strategies to combat this societal-turned-medical problem.

Interaction of body mass index and diabetes as modifiers of cardiovascular mortality in a cohort study

OBJECTIVES

Diabetes and obesity each increases mortality, but recent papers have shown that lean Asian persons were at greater risk for mortality than were obese persons. The objective of this study is to determine whether an interaction exists between body mass index (BMI) and diabetes, which can modify the risk of death by cardiovascular disease (CVD).

METHODS

Subjects who were over 20 years of age, and who had information regarding BMI, past history of diabetes, and fasting blood glucose levels (n=16 048), were selected from the Korea Multi-center Cancer Cohort study participants. By 2008, a total of 1290 participants had died; 251 and 155 had died of CVD and stroke, respectively. The hazard for deaths was calculated with hazard ratio (HR) and 95% confidence interval (95% CI) by Cox proportional hazard model.

RESULTS

Compared with the normal population, patients with diabetes were at higher risk for CVD and stroke deaths (HR, 1.84; 95% CI, 1.33 to 2.56; HR, 1.82; 95% CI, 1.20 to 2.76; respectively). Relative to subjects with no diabetes and normal BMI (21 to 22.9 kg/m(2)), lean subjects with diabetes (BMI <21 kg/m(2)) had a greater risk for CVD and stroke deaths (HR, 2.83; 95% CI, 1.57 to 5.09; HR, 3.27; 95% CI, 1.58 to 6.76; respectively), while obese subjects with diabetes (BMI ≥25 kg/m(2)) had no increased death risk (p-interaction <0.05). This pattern was consistent in sub-populations with no incidence of hypertension.

CONCLUSIONS

This study suggests that diabetes in lean people is more critical to CVD deaths than it is in obese people.

BMI-mortality paradox and fitness in African American and Caucasian men with type 2 diabetes

OBJECTIVE

To assess the association between BMI, fitness, and mortality in African American and Caucasian men with type 2 diabetes and to explore racial differences in this association.

RESEARCH DESIGN AND METHODS

We used prospective observational data from Veterans Affairs Medical Centers in Washington, DC, and Palo Alto, California. Our cohort (N = 4,156; mean age 60 ± 10.3 years) consisted of 2,013 African Americans (mean age, 59.5 ± 9.9 years), 2,000 Caucasians (mean age, 60.8 ± 10.5 years), and 143 of unknown race/ethnicity. BMI, cardiac risk factors, medications, and peak exercise capacity in metabolic equivalents (METs) were assessed during 1986 and 2010. All-cause mortality was assessed across BMI and fitness categories.

RESULTS

There were 1,074 deaths during a median follow-up period of 7.5 years. A paradoxic BMI-mortality association was observed, with significantly higher risk among those with a BMI between 18.5 and 24.9 kg/m(2) (hazard ratio [HR] 1.70 [95% CI 1.36-2.1]) compared with the obese category (BMI ≥ 35 kg/m(2)). This association was accentuated in African Americans (HR 1.95 [95% CI 1.44-2.63]) versus Caucasians (HR 1.53 [1.0-2.1]). The fitness-mortality risk association for the entire cohort and within BMI categories was inverse, independent, and graded. Mortality risks were 12% lower for each 1-MET increase in exercise capacity, and ~35-55% lower for those with an exercise capacity >5 METs compared with the least fit (≤ 5 METs). CONCLUSIONS A paradoxic BMI-mortality risk association was observed in African American and Caucasian patients with diabetes. The exercise capacity-mortality risk association was inverse, independent, and graded in all BMI categories but was more potent in those with a BMI ≥ 25 kg/m(2).

Management of Elevated Cholesterol in the primary prevention Group of Adult Japanese (MEGA) Study assists the view that a fasting plasma glucose level ≥100 mg/dL increases cardiovascular risk

Aims/Introduction:  To evaluate the relationship between fasting plasma glucose (FPG) level and cardiovascular disease in patients with hypercholesterolemia, and to evaluate the effect of pravastatin on risk reduction in a post-hoc analysis of the large-scale Management of Elevated Cholesterol in the primary prevention Group of Adult Japanese (MEGA) Study.

MATERIALS AND METHODS

  A total of 7832 patients were randomized to diet alone or diet plus low-dose pravastatin (10-20 mg/day, average 8.3 mg during follow-up periods) and followed for >5 years. In this analysis, the relationship between FPG and risk of cardiovascular disease events over 5 years were studied in 6673 patients with recorded baseline FPG levels by using the multivariable Cox proportional hazards model with the restricted quadratic spline based on three knots for FPG quartiles.

RESULTS

  The spline curve showed an obvious sharp increased risk from a FPG of ≥100 mg/dL. The spline curve in the diet plus pravastatin group was consistently lower than in the diet group, regardless of the FPG level.

CONCLUSIONS

  The risk of cardiovascular disease appears to increase when FPG is ≥100 mg/dL, with a sharp increased risk found above this level in patients with hypercholesterolemia. Statin treatment seems to be beneficial to reduce cardiovascular disease risk in this population. This trial was registered with ClinicalTrials.gov (no. NCT00211705). (J Diabetes Invest, doi: 10.1111/j.2040-1124.2011.00121.x, 2011).

A new tool to detect kidney disease in Chinese type 2 diabetes patients: comparison of EZSCAN with standard screening methods

BACKGROUND

EZSCAN(®) (Impeto Medical, Paris, France), a noninvasive device that assesses sweat gland dysfunction using reverse iontophoresis, also detects early dysglycemia. Given the interrelationships among dysglycemia, vasculopathy, and neuropathy, EZSCAN may detect kidney disease in diabetes (DKD).

METHODS

An EZSCAN score (0-100) was calculated using a proprietary algorithm based on the chronoamperometry analysis. We measured the score in 50 Chinese type 2 diabetes patients without DKD (urinary albumin-creatinine ratio [ACR] <2.5 mg/mmol in men or ACR <3.5 mg/mmol in women and estimated glomerular filtration rate [eGFR] >90 mL/min/1.73 m(2)) and 50 with DKD (ACR ≥25 mg/mmol and eGFR <60 mL/min/1.73 m(2)). We used spline analysis to determine the threshold value of the score in detecting DKD and its sensitivity and specificity.

RESULTS

EZSCAN scores were highly correlated with log values of eGFR (r=0.67, P<0.0001) and ACR (r=-0.66, P<0.0001). Using a cutoff value of 55, the score had 94% sensitivity, 78% specificity, and a likelihood ratio of 4.2 to detect DKD with a positive predictive value of 81% and a negative predictive value of 93%. On multivariable analysis, DKD was independently associated with EZSCAN score (β=-0.72, P=0.02), smoking status (1=never, 0=current/former) (β=-2.37, P=0.02), retinopathy (1=yes, 0=no) (β=3.019, P=0.01), triglycerides (β=2.56, P=0.013), and blood hemoglobin (β=-0.613, P=0.04). Patients without DKD but low EZSCAN score (n=10) had longer duration of disease (median [interquartile range], 13 [9-17] vs. 8 [4-16] years; P=0.017) and were more likely to have retinopathy (36.7% vs. 5.1%, P=0.02), lower eGFR (98 [95.00-103] vs. 106 [98.5-115], P=0.036), and treatment with renin-angiotensin system blockers (81.8% vs. 25.6%, P=0.002) than those with a normal score.

CONCLUSION

EZSCAN may detect high-risk subjects for DKD in Chinese populations.

The Complexity of Vascular and Non-Vascular Complications of Diabetes: The Hong Kong Diabetes Registry

Diabetes is a complex disease characterized by chronic hyperglycemia and multiple phenotypes. In 1995, we used a doctor-nurse-clerk team and structured protocol to establish the Hong Kong Diabetes Registry in a quality improvement program. By 2009, we had accrued 2616 clinical events in 9588 Chinese type 2 diabetic patients with a follow-up duration of 6 years. The detailed phenotypes at enrollment and follow-up medications have allowed us to develop a series of risk equations to predict multiple endpoints with high sensitivity and specificity. In this prospective database, we were able to validate findings from clinical trials in real practice, confirm close links between cardiovascular and renal disease, and demonstrate the emerging importance of cancer as a leading cause of death. In addition to serving as a tool for risk stratification and quality assurance, ongoing data analysis of the registry also reveals secular changes in disease patterns and identifies unmet needs.

Association of statin use and development of renal dysfunction in type 2 diabetes--the Hong Kong Diabetes Registry

AIM

Dyslipidaemia may be a risk factor for diabetic kidney disease. We examined prospectively association between the use of statins and development of renal dysfunction in type 2 diabetes.

METHODS

A consecutive cohort of 5264 diabetic patient recruited between 1996 and 2005 underwent detailed assessments. Renal dysfunction was defined as first estimated glomerular filtration rate <60 ml/min/1.73 m(2), or, the first hospitalisation with a diagnosis of renal disease as coded by the International Classification of Disease, Ninth Revision. Drug use was quantified using the proportion of exposure time from baseline to event/death/censored time, as appropriate.

RESULTS

In this cohort (male: 47.3%, median age: 55 years, median duration of diabetes: 6.0 years), none had renal dysfunction at baseline. During a median follow-up period of 4.9 (quartiles: 2.77, 7.04) years, 703 patients (13.4%) developed renal dysfunction, 1275 patients (22.2%) were exposed to statins. After controlling for baseline risk factors, multivariable adjusted hazard ratio of statin use for development of renal dysfunction was 0.32 (95% CI 0.21-0.50, p<0.0001).

CONCLUSION

Use of statins was associated with reduced risk of developing renal dysfunction in type 2 diabetes and this association was independent of baseline risk factors.

From design to implementation--the Joint Asia Diabetes Evaluation (JADE) program: a descriptive report of an electronic web-based diabetes management program

BACKGROUND

The Joint Asia Diabetes Evaluation (JADE) Program is a web-based program incorporating a comprehensive risk engine, care protocols, and clinical decision support to improve ambulatory diabetes care.

METHODS

The JADE Program uses information technology to facilitate healthcare professionals to create a diabetes registry and to deliver an evidence-based care and education protocol tailored to patients' risk profiles. With written informed consent from participating patients and care providers, all data are anonymized and stored in a databank to establish an Asian Diabetes Database for research and publication purpose.

RESULTS

The JADE electronic portal (e-portal: http://www.jade-adf.org) is implemented as a Java application using the Apache web server, the mySQL database and the Cocoon framework. The JADE e-portal comprises a risk engine which predicts 5-year probability of major clinical events based on parameters collected during an annual comprehensive assessment. Based on this risk stratification, the JADE e-portal recommends a care protocol tailored to these risk levels with decision support triggered by various risk factors. Apart from establishing a registry for quality assurance and data tracking, the JADE e-portal also displays trends of risk factor control at each visit to promote doctor-patient dialogues and to empower both parties to make informed decisions.

CONCLUSIONS

The JADE Program is a prototype using information technology to facilitate implementation of a comprehensive care model, as recommended by the International Diabetes Federation. It also enables health care teams to record, manage, track and analyze the clinical course and outcomes of people with diabetes.

Associations of hyperglycemia and insulin usage with the risk of cancer in type 2 diabetes: the Hong Kong diabetes registry

OBJECTIVE Insulin has mitogenic effects, although hyperglycemia may be a risk factor for cancer in type 2 diabetes. It remains uncertain whether use of insulin increases cancer risk because of its effect on cell growth and proliferation or decreases cancer risk because of its glucose-lowering effect. RESEARCH DESIGN AND METHODS A 1:2-matched new insulin user cohort on age (+/-3 years), smoking status, and likelihood of initiating insulin therapy (+/-0.05) was selected from a cohort of 4,623 Chinese patients with type 2 diabetes, free of cancer, and naive to insulin at enrollment. Stratified Cox regression analysis on the matched pairs was used to obtain hazard ratios (HRs) of insulin therapy and A1C for cancer risk. A structured adjustment scheme was used to adjust for covariates. RESULTS Of 973 new insulin users, 971 had matched nonusers (n = 1935). The cancer incidence in insulin nonusers was much higher than that in insulin users (49.2 vs. 10.2, per 1,000 person-years, P < 0.0001). After further adjustment for all other covariates with a P value less than 0.3 and nonlinear associations with cancer, A1C was associated with an increased cancer risk (HR per percentage 1.26, 95% CI 1.03-1.55), whereas use of insulin was associated with a decreased cancer risk (HR of insulin users vs. nonusers: 0.17, 0.09-0.32). Consistent results were found in analyses including all 973 insulin users and 3,650 nonusers. CONCLUSIONS In Chinese patients with type 2 diabetes, hyperglycemia predicts cancer, whereas insulin usage was associated with a reduced cancer risk.

Effects of systolic and diastolic blood pressures on incident coronary heart disease and all-cause death in Chinese women with Type 2 diabetes: the Hong Kong Diabetes Registry

BACKGROUND

Elevated blood pressure (BP) is an important risk factor for the development of coronary heart disease (CHD), although the threshold above which the risk increases has not been clearly defined. The aim of the present study was to examine the full-range association between BP and CHD.

METHODS

A prospective cohort of 3861 Chinese women with Type 2 diabetes mellitus (T2DM) was followed for a median of 5.61 years. Restricted cubic spline analysis was used to examine the relationship between BP and CHD.

RESULTS

Subjects who developed CHD were older, more likely to be smokers, had a significantly longer duration of diabetes, higher systolic BP (SBP), glycated hemoglobin, albuminuria, low-density lipoprotein-cholesterol, and triglycerides, and lower estimated glomerular filtration rate and high-density lipoprotein-cholesterol. Mortality was higher in those who developed CHD compared with those who did not, with all-cause death in 30.2% and 7.8% of patients, respectively. Over 21,641 and 22 049 person-years follow up, 4.4% of patients (n = 169) developed CHD and 8.8% (n = 340) died, respectively. The relative risk of SBP for CHD was constant up to 120 mmHg, after which it started to rise: from 130 mmHg, each 10-mmHg increase in SBP was associated with a 1.13-fold increased risk of CHD.

CONCLUSIONS

We identified 130 mmHg as the threshold of SBP for increased risk of CHD in Chinese female patients with T2DM. It appears that 67-77 mmHg is the optimal range for diastolic BP, within which the risk of CHD is lowest.

Additive interaction of hyperglycemia and albuminuria on risk of ischemic stroke in type 2 diabetes: Hong Kong Diabetes Registry

OBJECTIVE

The study aims to test whether biological interaction between hyperglycemia and albuminuria can explain the inconsistent findings from epidemiological studies and clinical trials about effects of hyperglycemia on stroke in type 2 diabetes.

RESEARCH DESIGN AND METHODS

A total of 6,445 Hong Kong Chinese patients with type 2 diabetes and free of stroke at enrollment were followed up for a median of 5.37 years. Spline Cox proportional hazard regression was used to obtain hazard ratio curves, which were used to identify cutoff points of A1C and spot urinary albumin-to-creatinine ratio for increased ischemic stroke risk. The identified cutoff point of A1C was used to check biological interaction between A1C and albuminuria (micro- and macroalbuminuria). The biological interaction was estimated using relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index.

RESULTS

During the follow-up period, 4.45% (n = 287) of patients developed ischemic stroke. A1C was associated with increased hazard ratios of ischemic stroke in a near-linear manner except for two points-6.2 and 8.0%-where the slope between these two points accelerated. For A1C values <6.2%, the presence of micro/macroalbuminuria did not confer additional risk, while significant biological interaction between A1C and micro/macroalbuminuria for values >or=6.2% was observed (RERI 0.92, 95% CI 0.16-1.68, and AP 0.40, 0.01-0.78).

CONCLUSIONS

A1C >or=6.2% and micro/macroalbuminuria interact to markedly increase the ischemic stroke risk, which explains a large proportion of risk in patients with type 2 diabetes harboring both risk factors.

Diabetic nephropathy--what are the unmet needs?

In this pandemic of diabetes and obesity, Asia will have the highest number of affected people with the greatest increase in the young-to-middle aged group. Asian patients have increased risk for diabetic kidney disease which may be compounded by low grade infection, obesity and genetic factors. In these subjects, the onset of albuminuria and diabetic kidney disease causes further perturbation of metabolic milieu with increased oxidative stress, anaemia and vascular calcification which interact to markedly increase the risk of cardiovascular disease. Despite receiving optimal care to control blood pressure and metabolic risk factors as well as inhibition of the renin-angiotensin system in a clinical trial setting, there is a considerable residual risk for cardio-renal complications in patients with diabetic kidney disease. Control of obesity and low grade inflammation as well as correction of anaemia may represent areas where novel strategies can be developed and tested to curb this rising global burden of cardio-renal complications.

Independent associations between low-density lipoprotein cholesterol and cancer among patients with type 2 diabetes mellitus

BACKGROUND

The risk association between low-density lipoprotein (LDL) cholesterol and cancer remains controversial and largely unexplored for people not receiving statin therapy.

METHODS

We examined the risk association between LDL cholesterol and cancer among patients with type 2 diabetes mellitus who were free of cancer at enrolment and whose statin use was known. We considered a variety of nonlinear relationships in our analysis.

RESULTS

During a median follow-up period of 4.90 years, cancer developed in 270 (4.4%) of 6107 patients. Among the 3800 patients who did not receive statin therapy, the risk association between LDL cholesterol and cancer was represented by a V-shaped curve. Compared with patients whose LDL cholesterol was at least 2.80 mmol/L but less than 3.80 mmol/L, the risk of cancer, death from any cause or the composite outcome of cancer or death was greater among those with an LDL cholesterol level of less than 2.80 mmol/L (hazard ratio for cancer 1.74, 95% confidence interval [CI] 1.20-2.52) and those with an LDL cholesterol level of 3.80 mmol/L or greater (hazard ratio for cancer 1.87, 95% CI 1.29-2.71). Using 3.8 mmol/L as a reference point, we found that the hazard ratio for cancer for every millimole per litre absolute change in LDL cholesterol was 1.54 (95% CI 1.19-1.99) among patients not using statins; the hazard ratio was reduced to 1.24 (1.01-1.53) for the entire sample (statin users and those not using statins). These associations persisted after adjustment for covariates and exclusion of patients with less than 2.5 years of follow-up.

INTERPRETATION

Among patients with type 2 diabetes, the association between LDL cholesterol and cancer was V-shaped, whereby both low and high levels of LDL cholesterol were associated with elevated risk of cancer.

Thresholds of risk factors for ischemic stroke in type 2 diabetic patients with and without albuminuria: a non-linear approach

OBJECTIVES

Multiple risk factors in type 2 diabetes may explain their high risk for ischemic stroke (IS). However, it remains unknown whether these risk factors exhibit threshold characteristics and whether these relationships are influenced by albuminuria. The study aims to investigate whether risk factors exhibit any albuminuria specific threshold for IS.

PATIENTS AND METHODS

This is a prospective cohort study with 6969 Chinese type 2 diabetic patients without history of stroke after a median follow-up of 5.36 years. We identified thresholds of risk factors for IS using hazard ratio plots followed by confirmation using traditional Cox regression analysis.

RESULTS

In the non-albuminuric group (n=4008), IS risk started to increase rapidly at a body mass index threshold of 24 kg/m(2). The risk of IS declined with increasing blood hemoglobin reaching a threshold value of 14 g/dl. Using these threshold values as cutoff point, body mass index > or =24 kg/m(2) and hemoglobin <14 g/dl were associated with 2-fold increased risk of IS in these subjects. In the albuminuric group (n=2961). IS risk started to increase rapidly from a systolic blood pressure threshold of 135 mmHg and declined with increasing estimated glomerular filtration rate (eGFR) reaching a trough of 115 ml/min per 1.73 m(2). Using these values as cutoff points, patients with systolic blood pressure > or =135 mmHg and eGFR <115 ml/min per 1.73 m(2) had 2-fold increased risk of IS.

CONCLUSION

In type 2 diabetic patients, body mass index, hemoglobin, systolic blood pressure and eGFR exhibit different risk relationships and thresholds for IS contingent upon presence or absence of albuminuria.

Effects of albuminuria and renal dysfunction on development of dyslipidaemia in type 2 diabetes--the Hong Kong Diabetes Registry

BACKGROUND

It is uncertain whether albuminuria precedes the future development of high total cholesterol (TC > 6.2 mmol/l) and high LDL-C (>4.1 mmol/l) while renal dysfunction precedes the future development of low HDL-C (<0.9 mmol/l) in type 2 diabetes.

METHODS

A prospective cohort of 2761 type 2 diabetic patients without significant dyslipidaemia and having at least one measurement of TC, LDL-C and HDL-C during 2.8 years of follow-up was analysed. The spline Cox regression model was used to derive hazard ratio (HR) curves of the spot urinary albumin:creatinine ratio (ACR) and the estimated glomerular filtration rate (eGFR) for dyslipidaemia, followed by standard Cox models to confirm the findings from the HR curves.

RESULTS

Seven percent of the cohort developed high TC, 4.6% developed high LDL-C and 5.7% developed low HDL-C during follow-up. In multivariate analysis, the HR of ACR for high TC and high LDL-C increased rapidly and linearly from zero with no apparent threshold. Patients with macroalbuminuria (ACR >/=25 mg/mmol) were, respectively, 1.6- and 2.4 folds more likely to develop high TC and high LDL-C than those with normoalbuminuria at baseline. The HR of eGFR for low HDL-C increased rapidly with declining eGFR at <110 ml/min/ 1.73 m(2). Subjects with eGFR <60 ml/min/1.73 m(2) and >/=60-<110 ml/min/1.73 m(2), respectively, had 3.0-fold and 1.8-fold risks of low HDL-C compared to those with eGFR >/=110-<140 ml/min/1.73 m(2).

CONCLUSIONS

In type 2 diabetes, macroalbumninuria predicts high TC and high LDL-C, while reduced renal function, even within normal range, predicts low HDL-C.

Impacts of chronic kidney disease and albuminuria on associations between coronary heart disease and its traditional risk factors in type 2 diabetic patients - the Hong Kong diabetes registry

Background

Glycated haemoglobin (HbA_1c), blood pressure and body mass index (BMI) are risk factors for albuminuria, the latter in turn can lead to hyperlipidaemia. We used novel statistical analyses to examine how albuminuria and chronic kidney disease (CKD) may influence the effects of other risk factors on coronary heart disease (CHD).

Methods

A prospective cohort of 7067 Chinese type 2 diabetic patients without history of CHD enrolled since 1995 were censored on July 30^th, 2005. Cox proportional hazard regression with restricted cubic spline was used to auto-select predictors. Hazard ratio plots were used to examine the risk of CHD. Based on these plots, non-linear risk factors were categorised and the categorised variables were refitted into various Cox models in a stepwise manner to confirm the findings.

Results

Age, male gender, duration of diabetes, spot urinary albumin: creatinine ratio, estimated glomerular filtration rate, total cholesterol (TC), high density lipoprotein cholesterol (HDL-C) and current smoking status were risk factors of CHD. Linear association between TC and CHD was observed only in patients with albuminuria. Although in general, increased HDL-C was associated with decreased risk of CHD, full-range HDL-C was associated with CHD in an A-shaped manner with a zenith at 1.1 mmol/L. Albuminuria and CKD were the main contributors for the paradoxically positive association between HDL-C and CHD for HDL-C values less than 1.1 mmol/L.

Conclusion

In type 2 diabetes, albuminuria plays a linking role between conventional risk factors and CHD. The onset of CKD changes risk associations between lipids and CHD.