Association of alcohol consumption with all-cause mortality, new-onset stroke, and coronary heart disease in patients with abnormal glucose metabolism-Findings from a 10-year follow-up of the REACTION study.

BACKGROUND: Type 2 diabetes mellitus (T2DM) and diabetic complications threaten human health seriously. Healthy lifestyles can lower the risk of cardiovascular disease (CVD) and long-term complications. However, the relationship between alcohol consumption and CVD mortality is still controversial, and there is a lack of evidence from large-scale longitudinal studies in the Chinese population. Based on the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study), this paper explores the association between alcohol consumption and all-cause mortality, stroke, and coronary heart disease (CHD) in patients with abnormal glucose metabolism during a 10-year follow-up period to provide evidence for lifestyle counselling for these patients. METHODS: First, baseline data were collected from the REACTION study cohort in Changchun, Jilin Province, China, in 2011-2012. A questionnaire survey was performed among patients with abnormal glucose metabolism aged over 40 years. The frequency of their alcohol intake, the type of alcohol, and the amount of alcohol consumed daily were surveyed. Physical and biochemical examinations were also performed. Then, through the Primary Public Health Service System of Jilin Province, we collected outcomes during the 10-year follow-up up to October 1, 2021, including all-cause mortality, stroke, and CHD. Next, we conducted logistic regression to analyze the relationship between baseline alcohol consumption and 10-year outcomes, and risk ratio (RR) and 95% CI were calculated by adjusting for different clinical indicators. A p value < 0.05 was considered statistically significant. RESULTS: A total of 4855 patients with T2DM and prediabetes (35.2% men and 64.8% women) were included in the baseline analysis. Outcomes of 3521 patients during the 10-year follow-up were obtained, including 227 deaths, 296 new-onset strokes and 445 new-onset CHD. Occasional drinking (less than once a week) was associated with a reduced 10-year all-cause mortality, with an RR of 0.511 (95% CI [0.266, 0.982]) after adjustment for age, gender, medical history, and lifestyles and an RR of 0.50 (95% CI [0.252, 0.993]) in a fully adjusted model including additional biochemical indicators. In addition, heavy alcohol consumption (≥30 g/day for men and ≥15 g/day for women) was significantly associated with an increased incidence of stroke, with an RR of 2.503 (95% CI [1.138, 5.506]) after the adjustment for age, gender, medical history, lifestyles, and biochemical indicators. No significant association was found between alcohol consumption and new-onset CHD. CONCLUSIONS: For patients with abnormal glucose metabolism, occasional drinking (less than once a week) reduces the risk of all-cause mortality, while heavy alcohol consumption (≥30 g/day for men and ≥15 g/day for women) significantly increases the risk of new-onset stroke. They should avoid heavy alcohol intake, but light alcohol consumption or occasional drinking is acceptable. Additionally, it is crucial to control blood glucose and blood pressure and keep performing physical activities.

Development and validation of a nomogram for assessing risk of isolated high 2-hour plasma glucose.

A tool was constructed to assess need of an oral glucose tolerance test (OGTT) in patients whose fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are normal. Data was collected from the longitudinal REACTION study conducted from June to November 2011 (14,686 subjects, aged ≥ 40 y). In people without a prior history of diabetes, isolated high 2-hour plasma glucose was defined as 2-hour plasma glucose ≥ 11.1 mmol/L, FPG < 7.0 mmol/L, and HbA1c < 6.5%. A predictive nomogram for high 2-hour plasma glucose was developed via stepwise logistic regression. Discrimination and calibration of the nomogram were evaluated by the area under the receiver operating characteristic curve (AUC) and Hosmer-Lemeshow test; performance was externally validated in Northeast China. Parameters in the model included gender, age, drinking status, marriage status, history of hypertension and hyperlipidemia, waist-to-hip ratio, FPG, and HbA1c. All variables were noninvasive, except FPG and HbA1c. The AUC of the nomogram for isolated high 2-hour plasma glucose was 0.759 (0.727-0.791) in the development dataset. The AUCs of the internal and externally validation datasets were 0.781 (0.712-0.833) and 0.803 (0.778-0.829), respectively. Application of the nomogram during the validation study showed good calibration, and the decision curve analysis indicated that the nomogram was clinically useful. This practical nomogram model may be a reliable screening tool to detect isolated high 2-hour plasma glucose for individualized assessment in patients with normal FPG and HbA1c. It should simplify clinical practice, and help clinicians in decision-making.

Effects of bariatric surgery in Chinese with obesity and type 2 diabetes mellitus: A 3-year follow-up.

The incidence of obesity and type 2 diabetes mellitus is growing, and bariatric surgery was applied as a new therapy in the past few decades. However, bariatric surgery started rather late in China, and the number of surgeries and the follow-up data is limited.We assessed body weight, glucose, lipid levels, and blood pressure at baseline and 6-month, 1-year, 3-year in patients who underwent bariatric surgery. Vitamins and trace elements were investigated at 3-year after surgery. The quality of life was assessed at 3-year and compared with the control group.In total 20 patients were recruited in the study, and all the 20 patients underwent surgery and completed all follow-ups. Results showed that the body weight, body mass index, glycated hemoglobin (HbA1C), glucose, and insulin level were decreased, and islet function improved significantly in 6-month and 1-year (P < .001), and the changes were more obvious in the first 6 months. However, all the indexes rebound significantly at the 3-year (P < .05), but still better than baseline (P < .05). Weight regain was 50% after 3 years, and the mean weight regain rate was 31.45%. Besides, blood pressure and lipid levels decreased significantly compared with baseline (P < .001). At the 3-year follow-up, we found that 100% of the patients showed vitamin D deficiency, 50% calcium deficiency, 20% vitamin B12 deficiency, 20% iron deficiency, and 15% suffered from anemia. Compared with the control group, the quality of life was better in patients who underwent surgery, especially in the physical health (P < .05).The current study showed that the body weight, glucose and islet function improved significantly after bariatric surgery, and the indexes changed mainly in the first 6 months, but there seemed to be a rebound after 3 years. Furthermore, the surgery may improve the blood pressure, lipid profile, and the quality of life. However, some patients may suffer anemia, calcium deficiency, iron deficiency, vitamin D, and vitamin B12 deficiency after 3 years.

Risk Assessment of Sarcopenia in Patients With Type 2 Diabetes Mellitus Using Data Mining Methods.

Purpose: Sarcopenia is a geriatric syndrome, and it is closely related to the prevalence of type 2 diabetes mellitus (T2DM). Until now, the diagnosis of sarcopenia requires Dual Energy X-ray Absorptiometry (DXA) scanning. This study aims to make risk assessment of sarcopenia with support vector machine (SVM) and random forest (RF) when DXA is not available. Methods: Firstly, we recruited 132 patients aged over 65 and diagnosed with T2DM in Changchun, China. Clinical data were collected for predicting sarcopenia. Secondly, we selected 3, 5, and 7 features out of over 40 features of patient's data with backward selection, respectively, to train SVM and RF classification models and regression models. Finally, to evaluate the performance of the models, we performed leave one out and 5-fold cross validation. Results: When training the model with 5 features, the sensitivity, specificity, negative predictive value (NPV) and positive predictive value (PPV) were favorable, and it was better than the models trained with 3 features and 7 features. Area under the receiver operating characteristic (ROC) curve (AUC) were over 0.7, and the mean AUC of SVM models was higher than that of RF. Conclusions: Using SVM and RF to make risk assessment of sarcopenia in the elderly is an option in clinical setting. Only 5 features are needed to input into the software to run the algorithm for a primary assessment. It cannot replace DXA to diagnose sarcopenia, but is a good tool to evaluate sarcopenia.

Cardiovascular effects of growth hormone (GH) treatment on GH-deficient adults: a meta-analysis update.

BACKGROUND: It is still unclear whether growth hormone (GH) replacement is able to improve cardiovascular parameters in adults with GH deficiency (AGHD) from the updated clinical trials reported to date. METHODS AND RESULTS: We systematically reviewed clinical trials of GH treatment on AGHD patients in recent decade, and evaluated the effects of GH on cardiovascular parameters assessed by echocardiography. 11 clinical trials were identified in 3 bibliographic databases. We conducted a combined analysis of effects on four aspects: General indicators: baseline heart rate (BHR), peak heart rate (PHR), systolic blood pressure (SBP), diastolic blood pressure (DBP); Cardiac structure: left ventricular end diastolic volume (LVEDV), left ventricular end systolic volume (LVESV), left ventricular interventricular septum (LVIS), left ventricular mass (LVM), left ventricular posterior wall (LVPW); Cardiovascular function: deceleration time of E wave (DT), E/A ratio (E/A), ejection fraction (EF), NT-BNP; Life quality: peak VO2, VE/VCO2 slope. Overall effect size was used to evaluate significance, and weighted mean difference after GH treatment was given to appreciate size of the effect. GH treatment was associated with a significant increase in BHR (3.03[2.00, 4.06]), LVIS (0.50[0.43, 0.57]), LVPW (0.50[0.43, 0.57]), and EF (2.12[1.34, 2.90]). Overall effect sizes were negative significant for DBP (- 1.19[- 2.33, - 0.05]), LVEDV (- 9.84[- 16.53, - 3.15]), NT-BNP (- 206.34[- 308.95, - 103.72]), and VE/VCO2 slope (- 2.31[- 2.92, - 1.71]). CONCLUSIONS: As assessed by echocardiography, GH administration may improve the general vital signs and life quality of AGHD patients, based on the positive effect on BHR and negative effects on DBP and VE/VCO2 slope. Also, GH treatment would influence the structure of heart with positive effects on LVIS, LVPW and negative effect on LVEDV, which together with the increase of EF and decrease of NT-BNP, then resulting in improving the systolic function of AGHD patients.

A cross-sectional study: Associations between sarcopenia and clinical characteristics of patients with type 2 diabetes.

Sarcopenia is a geriatric syndrome and it impairs physical function. Patients with type 2 diabetes mellitus (T2DM) are at a higher risk of sarcopenia. The purpose of this study is to explore characteristics of general information and metabolic factors of sarcopenia in patients with T2DM in the northeast of China, and provide information for the prevention and treatment of sarcopenia in clinical practice.Patients with T2DM aged ≥65 were recruited in Changchun from March 2017 to February 2018. Questionnaires of general information, physical examination, laboratory and imaging examination were conducted. The patients were assigned into sarcopenia group and non-sarcopenia group according to the diagnostic criteria proposed by Asian working group for sarcopenia (AWGS), and the differences between 2 groups were analyzed.A total of 132 participants were included in this study, of which, 38 (28.8%) were diagnosed with sarcopenia. 94 (71.2%) were with no sarcopenia. Logistic regression analysis showed that age (OR: 1.182, 95%CI: 1.038-1.346), trunk fat mass (TFM) (OR: 1.499, 95%CI: 1.146-1.960) and free thyroxine (FT4) (OR: 1.342, 95%CI: 1.102-1.635) were independent risk factors for sarcopenia. BMI (body mass index) (OR: 0.365, 95%CI: 0.236-0.661), exercise (OR: 0.016, 95%CI: 0.001-0.169), female (OR: 0.000, 95%CI: 0.00-0.012), metformin (OR: 0.159, 95%CI: 0.026-0.967) and TSM (trunk skeletal muscle mass) (OR: 0.395, 95%CI: 0.236-0.661) were protective factors for sarcopenia.Sarcopenia in patients with T2DM is associated with increased age, increased TFM and increased FT4 level. Regular exercise, female, metformin administrations, high BMI and increased TSM are associated with lower risk of sarcopenia.

Machine Learning For Tuning, Selection, And Ensemble Of Multiple Risk Scores For Predicting Type 2 Diabetes.

BACKGROUND: This study proposes the use of machine learning algorithms to improve the accuracy of type 2 diabetes predictions using non-invasive risk score systems. METHODS: We evaluated and compared the prediction accuracies of existing non-invasive risk score systems using the data from the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study). Two simple risk scores were established on the bases of logistic regression. Machine learning techniques (ensemble methods) were used to improve prediction accuracies by combining the individual score systems. RESULTS: Existing score systems from Western populations performed worse than the scores from Eastern populations in general. The two newly established score systems performed better than most existing scores systems but a little worse than the Chinese score system. Using ensemble methods with model selection algorithms yielded better prediction accuracy than all the simple score systems. CONCLUSION: Our proposed machine learning methods can be used to improve the accuracy of screening the undiagnosed type 2 diabetes and identifying the high-risk patients.

Association of diabetes mellitus with hepatitis B and hepatitis C virus infection: evidence from an epidemiological study.

OBJECTIVE: To study the association between glucose metabolism disorders and hepatotropic virus infection. METHODS: A cross-sectional analysis was performed using data from the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study). Outcomes of the analysis were test results of kidney function, liver function, lipid metabolism, and the prevalence of hepatitis B virus (HBV) infection and potential hepatitis C virus (HCV) infection (positive hepatitis C virus antibody) among individuals with and without diabetes mellitus (DM) or pre-diabetes mellitus (pre-DM). RESULTS: Of the 10,080 patients who participated in the study, 7665 eligible subjects were included in the analysis. There was no significant difference in the prevalence of HBV infection between DM and normal subjects, pre-DM and normal subjects, and DM or pre-DM and normal subjects (p-values of 0.9180, 0.8154, and 0.6448, respectively). There was also no significant difference in the prevalence of potential HCV infection between DM and normal subjects, pre-DM and normal subjects, and DM or pre-DM and normal subjects (p-values of 0.1190, 0.0591, and 0.5591, respectively). Lipid metabolism showed a significant difference between DM or pre-DM subjects and normal subjects (p-values were less than 0.0221 in all cases). Multiple logistic regression analysis revealed hypertension as the leading significant variable associated with DM, pre-DM, and both. Other significant factors included gender, body mass index, age, and alanine aminotransferase. CONCLUSION: No significant association was detected between DM or pre-DM and HBV or potential HCV infection. Significant association was detected between lipid metabolism disorders and DM, but this association was absent in pre-DM patients when adjusting for other factors.

Mobile Phone-Based Telemedicine Practice in Older Chinese Patients with Type 2 Diabetes Mellitus: Randomized Controlled Trial.

BACKGROUND: Previous studies on telemedicine interventions have shown that older diabetic patients experience difficulty in using computers, which is a barrier to remote communication between medical teams and older diabetic patients. However, older people in China tend to find it easy to use mobile phones and personal messaging apps that have a user-friendly interface. Therefore, we designed a mobile health (mHealth) system for older people with diabetes that is based on mobile phones, has a streamlined operation interface, and incorporates maximum automation. OBJECTIVE: The goal of the research was to investigate the use of mobile phone-based telemedicine apps for management of older Chinese patients with type 2 diabetes mellitus (T2DM). Variables of interest included efficacy and safety. METHODS: A total of 91 older (aged over 65 years) patients with T2DM who presented to our department were randomly assigned to one of two groups. Patients in the intervention group (n=44) were provided glucometers capable of data transmission and received advice pertaining to medication, diet, and exercise via the mHealth telemedicine system. Patients assigned to the control group (n=47) received routine outpatient care with no additional intervention. Patients in both groups were followed up at regular 3-month intervals. RESULTS: After 3 months, patients in the intervention group showed significant (P<.05) improvement in postprandial plasma glucose level. After 6 months, patients in the intervention group exhibited a decreasing trend in postprandial plasma glucose and glycated hemoglobin levels compared with the baseline and those in the control group (P<.05). CONCLUSIONS: Mobile phone-based telemedicine apps help improve glycemic control in older Chinese patients with T2DM. TRIAL REGISTRATION: China Clinical Trial Registration Center ChiCTR 1800015214; http://www.chictr.org.cn/showprojen.aspx?proj=25949 (Archived by WebCite at http://www.webcitation.org/73wKj1GMq).

A novel mutation in the hepatocyte nuclear factor-1ß gene in maturity onset diabetes of the young 5 with multiple renal cysts and pancreas hypogenesis: A case report.

A 17-year-old Chinese male was hospitalized exhibiting hyperglycemia and increased serum urea nitrogen and creatinine levels in addition to weight loss. The patient was treated with gliclazide. The patient was 150 cm tall, weighed 35 kg and had no family history of diabetes or kidney disease. Physical examination revealed cephalus quadratus, rachitic rosary and a visible toe-out gait. Laboratory examinations revealed that the patient's fasting plasma glucose and glycosylated hemoglobin levels were markedly increased, fasting plasma C-peptide level was slightly increased and no peak 2 h postprandial was observed. Diabetic autoimmune antibodies [islet cell cytoplasmic autoantibodies (ICA), glutamic acid decarboxylase autoantibodies (GADA), isulinoma-2-associated autoantibodies (IA2A) and insulin autoantibodies (IAA)] were negative. Levels of serum electrolytes decreased, uric acid and parathyroid hormone increased, mild albuminuria was detected and there was a low proportion of urine. The patient also presented with low bone mass and cataracts. Abdominal computed tomography (CT) revealed a bilateral atrophic kidney with multiple renal cysts, primarily located at the junction of renal cortex and medulla, with a diameter of 0.3-0.7 cm. CT also revealed hypogenesis of the body and tail of the pancreas. In an oral glucose tolerance test, the mother and paternal uncle of the patient were diagnosed with type II diabetes and the patient's sister, maternal uncle and paternal grandpa were diagnosed with glucose tolerance impairment. Genetic testing revealed an unreported amino acid mutation in exon 2 of hepatocyte nuclear factor 1ß (c.391C>T), a nonsense mutation of CAA to TAA at codon 131. This mutation was identified in the proband but not in any other family members.

Decreased Cardiovascular Risk after Roux-en-Y Gastric Bypass Surgery in Chinese Diabetic Patients with Obesity.

BACKGROUND: The influence of bariatric surgery on cardiovascular risks in Chinese diabetic patients remains unclear. Here, we aimed to explore the impact of Roux-en-Y gastric bypass surgery (RYGB) on cardiovascular risks in Chinese diabetic patients with obesity. METHODS: Twenty Chinese patients with T2DM and obesity undergoing RYGB surgery were included in this study. Cardiovascular risk factors were measured before and 18 months after surgery. A 10-year cardiovascular risk was calculated by the UKPDS risk engine. Linear regression analysis was performed on CHD risk, stroke risk, and baseline metabolic parameters. RESULTS: The complete remission rate of diabetes was 90% after RYGB surgery, with significant improvements in blood pressure, BMI, glucose, and lipid metabolism (P < 0.05). The 10-year cardiovascular risk of coronary heart disease reduced from 13.05% to 3.81% (P = 0.001) and the 10-year risk of stroke reduced from 19.66% to 14.22% (P = 0.002). In subgroup analysis, Chinese diabetic patients who were women, <45 years old, with BMI < 35 kg/m2, and DM duration > 5 years, using noninsulin therapy presented more obvious improvements in the 10-year cardiovascular risk after RYGB surgery. WHR, age, LDL-C, and HbA1c were the most important factors influencing CHD or stroke risk after RYGB surgery (P < 0.01). CONCLUSION: RYGB surgery is an effective treatment to reduce cardiovascular risk in Chinese diabetic patients with obesity.

Telemedicine in the Management of Type 2 Diabetes Mellitus.

OBJECTIVE: To explore a model of Internet-based integrated management of diabetes, we established a remote diabetes medical service platform (U-Healthcare) and evaluated its effectiveness and practicality. MATERIALS AND METHODS: In total, 212 patients with type 2 diabetes mellitus were randomly assigned to 2 groups. Data from the intervention group were automatically transmitted through a glucometer; furthermore, this group received information regarding medicines, diet, exercise and other management through U-Healthcare. The control group received conventional medical treatment without any additional intervention. All patients were regularly followed up every 3 months for half a year. RESULTS: At the 3-month follow-up, fasting plasma glucose levels of the intervention group were significantly lower than those at the baseline as well as those of the control group. Triglyceride levels of the intervention group were much lower than those at the baseline. At the 6-month follow-up, 2-hour postprandial plasma glucose levels of the intervention group significantly improved compared with those of the control group. HbA1c levels gradually decreased every 3 months in the intervention group, and the mean change in the levels was significantly greater in this group than in the control group (from 1.27-0.68%). At the end of the study, more than 80% of the patients in the intervention group adhered to blood glucose monitoring 2-3 days per week, and their compliance degree was 72%. CONCLUSIONS: The Internet-based U-Healthcare system of integrated management in diabetes not only achieved better glycemic control, effectively improved HbA1c levels and decreased triglyceride levels but also enhanced patients' adherence to the medical team's instructions.

Ideal glycated hemoglobin cut-off points for screening diabetes and prediabetes in a Chinese population.

AIMS/INTRODUCTION: The aims of the present study were to evaluate the diagnostic value of fasting plasma glucose, 2-h postload plasma glucose and glycosylated hemoglobin (HbA1c) measurements in the screening of diabetes and prediabetes, and to determine the cut-off point of HbA1c in the diagnosis of diabetes and prediabetes in a Chinese population. MATERIALS AND METHODS: A total of 7,611 individuals aged 40 years or older, who did not have a prior history of diabetes, were randomly selected in the Changchun area. For each participant, a questionnaire was completed, and a physical examination and an oral glucose tolerance test were carried out. The values of fasting plasma glucose, 2-h postload plasma glucose and HbA1c were compared by area under the receiver operating characteristic curves. The Youden index was used to identify the optimal cut-off point of HbA1c in the diagnosis of diabetes and prediabetes. RESULTS: The prevalence of newly diagnosed diabetes and prediabetes was 12.71% and 29.39%, respectively. In participants with newly diagnosed diabetes, the area under the receiver operating characteristic curve was 0.8368 for fasting plasma glucose, 0.9330 for 2-h postload plasma glucose and 0.8064 for HbA1c; whereas for prediabetes, these values were 0.8022, 0.9288 and 0.6895, respectively. In addition, an HbA1c threshold of 6.3% showed the highest Youden index (0.4799) for detecting diabetes; furthermore, an HbA1c threshold of 5.8% showed the highest Youden index (0.2866) for detecting prediabetes. CONCLUSIONS: HbA1c ≥6.3% (45 mmol/mol) and between 5.8% and 6.2% (40-44 mmol/mol) were the optimal cut-off values for the diagnosis of diabetes and prediabetes, respectively, in a Chinese population.

The Relationship between Alcohol Consumption and Incidence of Glycometabolic Abnormality in Middle-Aged and Elderly Chinese Men.

Aim. The relationship between alcohol consumption and glycometabolic abnormality is controversial, especially in different ethnic population. In this study, a cross-sectional survey was carried out to examine the relationship between alcohol consumption and glycometabolic abnormality in middle-aged and elderly Chinese men. Methods. Using cluster random sampling, Chinese men aged more than 40 years from Changchun, China, were given standardized questionnaires. In total, 1996 individuals, for whom complete data was available, were recruited into the study. We calculated the incidence of prediabetes and newly diagnosed diabetes by three levels of alcohol consumption: light, moderate, and heavy. Multivariate logistic regression models adjusted for socioeconomic variables and diabetes-related risk factors were used to analyze the association between alcohol consumption and the onset of prediabetes and diabetes. Results. The univariate analysis revealed higher incidence of prediabetes among drinkers (32.8%) compared with nondrinkers (28.6%), particularly in heavy alcohol consumers. The logistic regression analysis showed that alcohol consumption, especially heavy consumption, was an independent risk factor for prediabetes. Conclusions. Alcohol consumption, heavy consumption in particular, is an independent risk factor for the development of prediabetes, but not for diabetes.

Evaluation of different obesity indices as predictors of type 2 diabetes mellitus in a Chinese population.

BACKGROUND: The aim of the present study was to compare correlation coefficients between anthropometric indices and blood glucose level, and to determine optimal cutoff points of obesity indices in a Chinese population. METHODS: 2419 males and 5140 females participated in this study in Changchun city. Weight, height, WC (waist circumference) and hip circumference were measured; and BMI (body mass index), WHtR (waist height ratio), WHR (waist hip ratio) and BAI (body adiposity index) were calculated by formulas. FPG (fasting plasma glucose), PPG (post-load plasma glucose), HbA1c (glycosylated hemoglobin) and FSI (fasting serum insulin) were measured. RESULTS: WHtR had the highest partial correlation coefficients with blood glucose and HbA1c in both males and females; however, BAI had the lowest coefficients. AUC (area under receiver operating characteristic curves) for WHtR in screening type 2 diabetes mellitus were higher than other indices. We confirmed that the optimal cutoff points of obesity for WHtR, WHR, WC, BMI and BAI were 0.55, 0.92, 88.1, 25.9 and 28.1 in males, and 0.52, 0.85, 81.6, 24.6 and 31.0 in females, respectively. CONCLUSIONS: Central obesity correlates more closely to glucose metabolism in Chinese population than general obesity. WHtR is the best index to predict type 2 diabetes mellitus in Chinese adults.

A clinical and neuropathological study of Chinese patients with diabetic peripheral neuropathy.

OBJECTIVE: To examine whether the neuropathological and metabolic changes of peripheral nerves are correlated to clinical features in diabetes mellitus type 2 patients with peripheral neuropathy. METHODS: 147 type 2 diabetic patients with signs/symptoms of diabetic peripheralneuropathy (DPN) aged 53.4 ± 12.3 years and 134 healthy volunteers aged 55.5 ± 11.7 years were investigated for fasting plasma glucose (FPG), hemoglobin A1C (HbA1c), and red blood cell sorbitol (RBC sorbitol) in addition to nerve conduction velocity (NCV). Among the 147 diabetic patients, 10 patients underwent superficial peroneal nerve biopsy for light and electron microscopy. RESULTS: In the experimental group, the levels of HbA1c and RBC sorbitol showed significant increase compared with the controlled group, whereas motor nerve conduction velocity (MNCV) and sensory nerve conduction velocity (SNCV) both showed decline and SNCV decreased at a greater extent. Morphologically, there were various degrees of nerve fiber loss, associated with axon degeneration and capillary luminal narrowing in 10 patients undergone nerve biopsy. CONCLUSION: The metabolic change of sorbitol, the consequently observed changes in NCV and histopathology of peripheral nerves are positively correlated with the duration of diabetes and overall level of blood glucose.