Development of a New Risk Score for Incident Type 2 Diabetes Using Updated Diagnostic Criteria in Middle-Aged and Older Chinese

Type 2 diabetes mellitus (T2DM) reaches an epidemic proportion among adults in China. However, no simple score has been created for the prediction of T2DM incidence diagnosed by updated criteria with hemoglobin A1c (HbA1c) ≥6.5% included in Chinese. In a 6-year follow-up cohort in Beijing and Shanghai, China, we recruited a total of 2529 adults aged 50–70 years in 2005 and followed them up in 2011. Fasting plasma glucose (FPG), HbA1c, and C-reactive protein (CRP) were measured and incident diabetes was identified by the recently updated criteria. Of the 1912 participants without T2DM at baseline, 924 were identified as having T2DM at follow-up, and most of them (72.4%) were diagnosed using the HbA1c criterion. Baseline body mass index, FPG, HbA1c, CRP, hypertension, and female gender were all significantly associated with incident T2DM. Based upon these risk factors, a simple score was developed with an estimated area under the receiver operating characteristic curve of 0.714 (95% confidence interval: 0.691, 0.737), which performed better than most of existing risk score models developed for eastern Asian populations. This simple, newly constructed score of six parameters may be useful in predicting T2DM in middle-aged and older Chinese.     

A Risk Assessment Model for Type 2 Diabetes in Chinese

Aims

To develop a risk assessment model for persons at risk from type 2 diabetes in Chinese.

Materials and Methods

The model was generated from the cross-sectional data of 16246 persons aged from 20 years old and over. C4.5 algorithm and multivariate logistic regression were used for variable selection. Relative risk value combined with expert decision constructed a comprehensive risk assessment for evaluating the individual risk category. The validity of the model was tested by cross validation and a survey performed six years later with some participants.

Results

Nine variables were selected as risk variables. A mathematical model was established to calculate the average probability of diabetes in each cluster''s group divided by sex and age. A series of criteria combined with relative RR value (2.2) and level of risk variables stratified individuals into four risk groups (non, low, medium and high risk). The overall accuracy reached 90.99% evaluated by cross-validation inside the model population. The incidence of diabetes for each risk group increased from 1.5 (non-risk group) to 28.2(high-risk group) per one thousand persons per year with six years follow-up.

Discussion

The model could determine the individual risk for type 2 diabetes by four risk degrees. This model could be used as a technique tool not only to support screening persons at different risk, but also to evaluate the result of the intervention.     

Selection of Treatment Strategies among Patients with Type 2 Diabetes Mellitus in Malaysia: A Grounded Theory Approach

Background

Diabetes Mellitus is a multifaceted chronic illness and its life-long treatment process requires patients to continuously engage with the healthcare system. The understanding of how patients manoeuvre through the healthcare system for treatment is crucial in assisting them to optimise their disease management. This study aims to explore issues determining patients’ treatment strategies and the process of patients manoeuvring through the current healthcare system in selecting their choice of treatment for T2DM.

Methods

The Grounded Theory methodology was used. Twelve patients with Type 2 Diabetes Mellitus, nine family members and five healthcare providers from the primary care clinics were interviewed using a semi-structured interview guide. Three focus group discussions were conducted among thirteen healthcare providers from public primary care clinics. Both purposive and theoretical samplings were used for data collection. The interviews were audio-taped and transcribed verbatim, followed by line-by-line coding and constant comparison to identify the categories and core category.

Results

The concept of “experimentation” was observed in patients’ help-seeking behaviour. The “experimentation” process required triggers, followed by information seeking related to treatment characteristics from trusted family members, friends and healthcare providers to enable decisions to be made on the choice of treatment modalities. The whole process was dynamic and iterative through interaction with the healthcare system. The decision-making process in choosing the types of treatment was complex with an element of trial-and-error. The anchor of this process was the desire to fulfil the patient’s expected outcome.

Conclusion

Patients with Type 2 Diabetes Mellitus continuously used “experimentation” in their treatment strategies and help-seeking process. The “experimentation” process was experiential, with continuous evaluation, information seeking and decision-making tinged with the element of trial-and-error. The theoretical model generated from this study is abstract, is believed to have a broad applicability to other diseases, may be applied at varying stages of disease development and is non-context specific.     

老年2型糖尿病患者合并抑郁特点分析

目的:了解老年2型糖尿病患者合并抑郁的临床特点。方法:对121例老年2型糖尿病患者和102例老年非2型糖尿病患者(对照组)进行汉密尔顿抑郁量表(HAMD)的测定。结果:2型糖尿病组抑郁发生率为38.84%,对照组抑郁发生率为12.75%,2型糖尿病组的HAMD总分及焦虑/躯体化、体重、认知障碍、日夜变化、阻滞、睡眠障碍、绝望感得分均较对照组明显增高,差异有显著统计学意义。结论:老年2型糖尿病患者易合并抑郁症状,应及早发现,干预治疗。     

Interpersonal Abuse and Depression Among Mexican Immigrant Women with Type 2 Diabetes

Evidence for a bi-directional relationship of depression and type 2 diabetes suggests that social distress plays a role in depression among people with diabetes. In this study, we examine the relationship between subjective distress and depression in 121 first- and second-generation Mexican immigrant women seeking diabetes care at a safety-net hospital in Chicago. We used a mixed-methods approach including narrative interview, survey, and finger-stick blood HbA1c data. Using grounded theory analysis, we identified seven life stressors from narrative interviews: interpersonal abuse, stress related to health, family, neighborhood violence, immigration status, and work, and feeling socially detached. Women reported unusually high rates of interpersonal abuse (65%) and disaggregated physical abuse (54%) and sexual abuse (23%). We evaluated depression using CES-D cut-off points of 16 and 24 and assessed rates to be 49 and 34%, respectively. We found that interpersonal abuse was a significant predictor of depression (CESD ≥ 24) in bivariate (OR 3.97; 95% CI 1.58–10.0) and multivariate (OR 5.51; 95% CI 1.85, 16.4) logistic regression analyses. These findings suggest that interpersonal abuse functions as an important contributor to depression among low-income Mexican immigrant women and should be recognized and addressed in diabetes care.     

Clinical Impact of the Temporal Relationship between Depression and Type 2 Diabetes: The Fremantle Diabetes Study Phase II

Background

The clinical features of type 2 diabetes may differ depending on whether first depression episode precedes or follows the diagnosis of diabetes.

Methods

Type 2 patients from the observational community-based Fremantle Diabetes Study Phase II underwent assessment of lifetime depression using the Brief Lifetime Depression Scale (developed and validated for this study) supplemented by information on current depression symptoms (Patient Health Questionnaire, 9-item version) and use of antidepressants. Patients were categorized as never depressed (Group 1), having had depression before diabetes diagnosis (Group 2), diagnosed with depression and diabetes within 2 years of each other (Group 3) and having depression after diabetes diagnosis (Group 4).

Results

Of 1391 patients, 20.8% were assigned to Group 2, 6.0% to Group 3 and 14.5% to Group 4. In Group 2, depression occurred a median 15.6 years before diabetes onset at age 37.2±14.7 years. These patients had similar clinical characteristics to never depressed patients except for reduced self-care behaviours and having more symptomatic peripheral arterial disease. In Group 4, depression occurred a median 9.9 years after diabetes onset at age 59.8±13.0 years. These patients had long duration diabetes, poor glycaemic control, more intensive management and more diabetic complications. Group 4 patients had more current depression than Group 2 but were less likely to be receiving antidepressants.

Conclusions/Interpretation

The clinical features of depression and type 2 diabetes are heterogeneous depending on their temporal relationship. There may be corresponding differences in the pathogenesis of depression in diabetes that have implications for diagnosis and management.     

Binge-Eating Disorder and Type 2 Diabetes: A Review

ObjectiveTo familiarize health care providers with diagnosis and treatment of binge-eating disorder (BED), a common comorbidity of type 2 diabetes (T2DM).MethodsLiterature review of binge eating and T2DM. Key words used in search include BED, T2DM, obesity, and treatment.ResultsThe prevalence of BED in patients with T2DM appears to be much higher than the 2% to 3.5% prevalence seen in the general population. Studies suggest that up to 20% of patients with T2DM have an underlying eating disorder, the most common of which is binge eating. BED is probably underdiagnosed, even though there are multiple simple tools that providers can use to improve screening for the disorder. Though the relationship between BED and hemoglobin A1c control can vary, it appears that binge-eating behaviors can worsen metabolic markers, including glycemic control. Various medications used by patients with diabetes have been associated with new-onset BED, and treatment may be as simple as removing or replacing such agents. Several medications have been found to significantly reduce binge-eating frequency, and potentially, weight. Patients with BED generally benefit from psychotherapy, including cognitive behavioral therapy.ConclusionBED, only recently added to the International Classification of Disease-10 diagnostic list, is very common in patients with obesity and T2DM. The diagnosis is important to establish, as treatment or referral for treatment, could potentially improve many of the comorbidities and metrics of T2DM.     

Implications of Magnesium Deficiency in Type 2 Diabetes: A Review

Magnesium is the fourth most abundant cation in the body and plays an important physiological role in many of its functions. It plays a fundamental role as a cofactor in various enzymatic reactions involving energy metabolism. Magnesium is a cofactor of various enzymes in carbohydrate oxidation and plays an important role in glucose transporting mechanism of the cell membrane. It is also involved in insulin secretion, binding, and activity. Magnesium deficiency and hypomagnesemia can result from a wide variety of causes, including deficient magnesium intake, gastrointestinal, and renal losses. Chronic magnesium deficiency has been associated with the development of insulin resistance. The present review discusses the implications of magnesium deficiency in type 2 diabetes.     

糖尿病的形成机理(病因)及其临床诊断标准

本文系统地分析了糖尿病与胰岛素的关系以及胰岛素与血糖的关系,阐明了糖尿病的形成机理,介绍了美国、中国以及WHO的糖尿病临床诊断标准,以期提高和加深公众对糖尿病的认识和了解,有助于全球社会有效地控制和预防糖尿病.     

新诊断标准下妊娠期糖尿病高危因素研究

目的:调查新诊断标准下国内妊娠期糖尿病(Gestational diabetes mellitus GDM)的发病情况,分析影响GDM发生的高危因素,为新标准下国内GDM孕妇临床早期管理、诊断和干预提供理论依据。方法:对2011年1月至2011年9月我院接受产前建卡检查的所有孕妇1152例进行临床资料的收集及回顾性研究,排除孕前糖尿病患者16例,采用GDM诊断新标准进行一步法诊断,收集包括年龄、孕产次、体质指数(body mass index BMI)、糖尿病家族史、多囊卵巢综合征等13种影响GDM发生的危险因素,并综合分析。结果:新标准下GDM检出率为10.39%(118/1136)2)单因素分析结果发现年龄≥35岁(X2=10.2814,P=0.0013)、肥胖(孕前BMI≥28kg/m2()X2=36.2384,P<0.0001)、多囊卵巢综合征(X2=20.6725,P<0.0001)、糖尿病家族史(X2=7.8783,P=0.0050)在GDM组与非GDM组有统计学差异,多因素逐步Logistic回归分析肥胖(OR=7.546 95%CI=2.356~20.129 P=0.0002)、多囊卵巢综合征(OR=6.342 95%CI=1.783~16.329,P=0.0019)、年龄(OR=3.021 95%CI=0.983~6.459 P=0.0108)、糖尿病家族史(OR=2.43895%CI=0.612~5.231 P=0.0256)为GDM的高危因素。结论:新标准下报告GDM检出率为10.39%。肥胖、多囊卵巢综合征、年龄、糖尿病家族史为影响GDM发生的高危因素。加强GDM筛查并对具有高危因素的妊娠期妇女早期诊断,早期干预、早期管理可改善妊娠结局,提高人口素质。     

Duodenal Mucosa: A New Target for the Treatment of Type 2 Diabetes

ObjectiveAfter a high-fat and high-sugar diet, the duodenal mucosa of rodents proliferate and trigger the signal of insulin resistance, which may be the cause of type 2 diabetes (T2D). In response to this phenomenon, researchers have designed the duodenal mucosal resurfacing (DMR) procedure, mainly through the hydrothermal ablation procedure, to restore the normal mucosal surface, thereby correcting this abnormal metabolic signal. This article aims to understand the changes in duodenum before and after the onset or treatment of T2D, and the potential mechanisms of DMR procedure.MethodsA literature search of PubMed and Web of Science was conducted using appropriate keywords.ResultsBoth animal and clinical studies have shown that the villus thickness, intestinal cells, glucose transporters, enteric nerves, and gut microbiota and their metabolites in the duodenum undergo corresponding changes before and after the onset or treatment of T2D. These changes may be related to the pathogenesis of T2D. DMR procedure may produce beneficial glycemic and hepatic metabolic effects by regulating these changes.ConclusionThe duodenum is an important metabolic signaling center, and limiting nutrient exposure to this critical region will have powerful metabolic benefits. The DMR procedure may regulate glycemic and hepatic parameters through various mechanisms, which needs to be further confirmed by a large number of animal and clinical studies.     

Diabetes-Related Distress,Depression and Distress-Depression among Adults with Type 2 Diabetes Mellitus in Malaysia

Type 2 diabetes mellitus (T2DM) brings about an increasing psychosocial problem in adult patients. Prevalence data on and associated factors of diabetes related distress (DRD) and depression have been lacking in Asia. This study aimed to examine the prevalence of DRD and depression, and their associated factors in Asian adult T2DM patients. This study was conducted in three public health clinics measuring DRD (Diabetes Distress Scale, DDS), and depression (Patient Health Questionnaire, PHQ). Patients who were at least 30 years of age, had T2DM for more than one year, with regular follow-up and recent laboratory results (< 3 months) were consecutively recruited. Associations between DRD, depression and the combination DRD-depression with demographic and clinical characteristics were analysed using generalized linear models. From 752 invited people, 700 participated (mean age 56.9 years, 52.8% female, 52.9% Malay, 79.1% married). Prevalence of DRD and depression were 49.2% and 41.7%, respectively. Distress and depression were correlated, spearman’s r = 0.50. Patients with higher DRD were younger (OR 0.995, 95% CI 0.996 to 0.991), Chinese (OR 1.2, 95% CI 1.04 to 1.29), attending Dengkil health clinic (OR 1.1, 95% CI 1.00 to 1.22) and had higher scores on the PHQ (OR 1.1, 95% CI 1.04 to 1.06). Depression was less likely in the unmarried compared to divorced/separately living and those attending Dengkil health clinic, but more likely in patients with microvascular complications (OR 1.4, 95% CI 1.06 to 1.73) and higher DDS (OR 1.03, 95% CI 1.02 to 1.03). For the combination of DRD and depression, unemployment (OR 4.7, 95% CI 1.02 to 21.20) had positive association, whereas those under medical care at the Salak health clinics (OR 0.28, 95% CI 0.12 to 0.63), and those with a blood pressure > 130/80 mmHg (OR 0.53, 95% CI 0.32 to 0.89) were less likely to experience both DRD and depression. DRD and depression were common and correlated in Asian adults with T2DM at primary care level. Socio-demographic more than clinical characteristics were related to DRD and depression.     

Comparison of Different Diagnostic Criteria for Gestational Diabetes Mellitus Based on the 75-G Oral Glucose Tolerance Test: A Cohort Study

ObjectiveTo compare the different diagnostic criteria for gestational diabetes mellitus (GDM) proposed by the American Diabetes Association (ADA), World Health Organization (WHO), and Australian Diabetes in Pregnancy Society (ADIPS) in a 75-g, 2-hour oral glucose tolerance test (OGTT) and to investigate their effects on neonatal birth weight.MethodsHealthy pregnant women were enrolled in a cohort study to undergo a 75-g OGTT during 24 to 28 weeks of pregnancy and then followed up to delivery. ADA criteria and recommendations were used for the management of patients.ResultsAmong 670 pregnant women, GDM was diagnosed in 41 (6.1%), 81 (12.1%), and 126 (18.8%) on the basis of ADA, WHO, and ADIPS criteria, respectively. The kappa value was 0.38 (P < .0001) for the agreement between ADA and WHO criteria, 0.41 (P < .0001) for agreement between ADA and ADIPS criteria, and 0.64 (P < .0001) for agreement between WHO and ADIPS criteria. WHO-only “positive” women had significantly lower fasting plasma glucose (87.9 versus 102.2 mg/dL; P < .0001) and 1-hour plasma glucose levels (146.4 versus 200.5 mg/dL; P < .0001) but higher 2-hour plasma glucose levels (150.1 versus 109.1 mg/dL; P < .0001) than women diagnosed with GDM by only ADA criteria. The correlation coefficient between 1-hour glucose level and neonatal birth weight was 0.09 (P < .02). The adjusted odds ratio of macrosomia associated with GDM according to ADA criteria was 1.34 (95% confidence interval, 0.15 to 12).ConclusionThe frequency of occurrence of GDM was 6.1% in a 75-g OGTT based on ADA criteria, and there was fair agreement between ADA and WHO criteria, moderate agreement between ADA and ADIPS criteria, and strong agreement between WHO and ADIPS criteria. A modest correlation was found between the 1-hour serum glucose value and neonatal birth weight. (Endocr Pract. 2008;14:312-317)     

Serum Amyloid A Truncations in Type 2 Diabetes Mellitus

Serum Amyloid A (SAA) is an acute phase protein complex consisting of several abundant isoforms. The N- terminus of SAA is critical to its function in amyloid formation. SAA is frequently truncated, either missing an arginine or an arginine-serine dipeptide, resulting in isoforms that may influence the capacity to form amyloid. However, the relative abundance of truncated SAA in diabetes and chronic kidney disease is not known.

Methods

Using mass spectrometric immunoassay, the abundance of SAA truncations relative to the native variants was examined in plasma of 91 participants with type 2 diabetes and chronic kidney disease and 69 participants without diabetes.

Results

The ratio of SAA 1.1 (missing N-terminal arginine) to native SAA 1.1 was lower in diabetics compared to non-diabetics (p = 0.004), and in males compared to females (p<0.001). This ratio was negatively correlated with glycated hemoglobin (r = −0.32, p<0.001) and triglyceride concentrations (r = −0.37, p<0.001), and positively correlated with HDL cholesterol concentrations (r = 0.32, p<0.001).

Conclusion

The relative abundance of the N-terminal arginine truncation of SAA1.1 is significantly decreased in diabetes and negatively correlates with measures of glycemic and lipid control.     

The Predictive Ability of C-Peptide in Distinguishing Type 1 Diabetes From Type 2 Diabetes: A Systematic Review and Meta-Analysis

ObjectiveThis systematic review and meta-analysis aimed to investigate the predictive ability of plasma connecting peptide (C-peptide) levels in discriminating type 1 diabetes (T1D) from type 2 diabetes (T2D) and to inform evidence-based guidelines in diabetes classification.MethodsWe conducted a holistic review and meta-analysis using PubMed, MEDLINE, EMBASE, and Scopus. The citations were screened from 1942 to 2021. The quality criteria and the preferred reporting items for systematic reviews and meta-analysis checklist were applied. The protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO) (CRD42022355088).ResultsA total of 23,658 abstracts were screened and 46 full texts reviewed. Of the 46 articles screened, 12 articles were included for the meta-analysis. Included studies varied by race, age, time, and proportion of individuals. The main outcome measure in all studies was C-peptide levels. A significant association was reported between C-peptide levels and the classification and diagnosis of diabetes. Furthermore, lower concentrations and the cutoff of <0.20 nmol/L for fasting or random plasma C-peptide was indicative of T1D. In addition, this meta-analysis revealed the predictive ability of C-peptide levels in discriminating T1D from T2D. Results were consistent using both fixed- and random-effect models. The I² value (98.8%) affirmed the variability in effect estimates was due to heterogeneity rather than sampling error among all selected studies.ConclusionPlasma C-peptide levels are highly associated and predictive of the accurate classification and diagnosis of diabetes types. A plasma C-peptide cutoff of ≤0.20 mmol/L is indicative of T1D and of ≥0.30 mmol/L in the fasting or random state is indicative of T2D.