Objective: To explore the associations of glycated hemoglobin (HbA1c) with FPG and oral glucose tolerance test 2-hour (OGTT-2 h) in areas at different altitude in China. Methods: Subjects who participated in 2018-2019 China Chronic Disease and Risk Factor Surveillance and had no prior type 2 diabetes diagnosis were included. Subsequently, they were categorized into three groups based on altitude of living area (<2 000, 2 000- and ≥3 000 m). With adjustment for intracluster correlation, multivariable linear regression analysis was performed to evaluate the associations of HbA1c with FPG and OGTT-2 h in the context of HbA1c was normal (<5.7%) or abnormal (≥5.7%). Furthermore, the shape of relationships between HbA1c and glucose indicators was examined using restricted cubic spline. Finally, receiver operating characteristic curve was used to evaluate the diagnostic performance of HbA1c for diabetes. Results: A total of 157 277 subjects were included in the analysis. While FPG and OGTT-2 h levels gradually decreased with increase of altitude, HbA1c level was similar among the three groups. When HbA1c was <5.7%, its association with FPG and OGTT-2 h was weak and no obvious difference was observed among the three groups. When HbA1c was ≥5.7%, the FPG and OGTT-2 h increased by 15.45% (95%CI:14.71%- 16.18%) and 24.54% (95%CI:23.18%-25.91%) respectively per one standard deviation increase in HbA1c in group in area at altitude <2 000 m. However, the FPG and OGTT-2 h increased by 13.08% (95%CI:10.46%-15.76%) and 21.72% (95%CI:16.39%-27.31%), respectively, in group in area at altitude 2 000- m, and increased by 11.41% (95%CI:9.32%-13.53%) and 20.03% (95%CI:15.38%- 24.86%), respectively, in group of altitude ≥3 000 m. The restricted cubic spline indicated that the curve showing the association of HbA1c with FPG and OGTT-2 h was flat when HbA1c was <5.7%, but showed a positive linear relationship when HbA1c was ≥5.7%. The area under curve for detecting diabetes was 0.808 (95%CI:0.803-0.812) in group of altitude <2 000 m and 0.728 (95%CI:0.660-0.796, P=0.022) in group of altitude ≥3 000 m. The relevant optimal cutoff value of HbA1c was 5.7%, with a sensitivity of 65.4% and a specificity of 83.0%, and 6.0%, with a sensitivity of 48.3% and a specificity of 93.7%, respectively. Conclusions: When HbA1c was ≥5.7%, the association between HbA1c and glucose indicators became weaker as the increase of altitude. In the area at altitude ≥3 000 m, it may not be appropriate to use HbA1c in the diagnosis of diabetes.
Adult ; Humans ; Glycated Hemoglobin ; Diabetes Mellitus, Type 2/diagnosis* ; Blood Glucose/analysis* ; Glucose ; Altitude ; Fasting ; China/epidemiology* ; Diabetes Mellitus/epidemiology*

INTRODUCTION: Identifying peripheral arterial disease (PAD) during diabetic foot screening (DFS) is crucial in reducing the risk of diabetic foot ulcerations and lower limb amputations. Screening assessments commonly used include absolute systolic toe pressure (ASTP) and toe-brachial index (TBI). There is a lack of research defining the threshold values of both assessment methods. We aimed to compare the accuracy of ASTP and TBI and establish optimal threshold values of ASTP and TBI with reference to the internationally accepted ankle-brachial pressure index (ABPI) screening test, for a multiethnic diabetic population in Singapore. METHODS: A retrospective, observational study of DFS results from January 2017 to December 2017 was conducted. Receiver operating characteristic analysis was conducted for ASTP and TBI using the internationally accepted ABPI cut-off value of ≤0.9 to indicate PAD. RESULTS: A total of 1,454 patients with mean (standard deviation) age of 63.1 (12.4) years old were included. There were 50.8% men and 49.2% women, comprising 69.7% Chinese, 13.5% Indian, 10.1% Malay and 6.7% other ethnicities. Areas under the curve for ASTP and TBI were 0.89 (95% confidence interval [Cl] 0.85-0.94) and 0.94 (95% Cl 0.90-0.98), respectively, and the difference was statistically significant (P<0.001). Derived optimal threshold values to indicate ABPI≤0.9 for ASTP and TBI were <95.5mmHg (specificity 0.86, sensitivity 0.84) and <0.7 (specificity 0.89, sensitivity 0.95), respectively. CONCLUSION ASTP or TBI may be used to detect ABPI-determined PAD in DFS. The optimal threshold values derived from a multiethnic Asian diabetic population were <95.5mmHg for ASTP and <0.7 for TBI.
Ankle Brachial Index/methods* ; Diabetes Mellitus/epidemiology* ; Diabetic Foot/diagnosis* ; Female ; Humans ; Male ; Middle Aged ; Peripheral Arterial Disease/diagnosis* ; Retrospective Studies ; Toes

BACKGROUND: Hyperglycemic crisis is a metabolic emergency associated with diabetes mellitus. However, accurate epidemiologic information on cases of hyperglycemic crisis in Korea remains scarce. We evaluated trends in hyperglycemic crisis hospitalizations and in- and out-of-hospital mortality in Korea. We also predicted future trends. METHODS: We extracted claims data with hyperglycemic crisis as the principal diagnosis from the National Health Insurance Service database in Korea from January 2004 to December 2013. We investigated the numbers of claims with hyperglycemic crisis and identified trends in hyperglycemic crisis based on those claims data. We predicted future trends by statistical estimation. RESULTS: The total annual number of claims of hyperglycemic crisis increased from 2,674 in 2004 to 5,540 in 2013. Statistical analysis revealed an increasing trend in hyperglycemic crisis hospitalizations (P for trend <0.01). In contrast, the hospitalization rate per 1,000 diabetes cases showed a decreasing trend (P for trend <0.01) during this period. The mortality rate per 1,000 diabetes cases also showed a decreasing trend (P for trend <0.0001). However, no distinct linear trend in the case-related fatality rate at <60 days over the last decade was observed. The predicted number of annual claims of hyperglycemic crisis will increase by 2030. CONCLUSION: The number of hyperglycemic crisis hospitalizations in Korea increased in the last decade, although the hospitalization rate per 1,000 diabetes cases and mortality rate decreased. Also, the predicted number of annual claims will increase in the future. Thus, it is necessary to establish long-term healthcare policies to prevent hyperglycemic crisis.
Delivery of Health Care ; Diabetes Mellitus ; Diabetic Ketoacidosis ; Diagnosis ; Emergencies ; Epidemiology ; Hospitalization ; Hyperglycemic Hyperosmolar Nonketotic Coma ; Korea ; Mortality ; National Health Programs

BACKGROUND/AIMS: The aim of this study was to assess the association between the number of existing permanent teeth and chronic kidney disease (CKD) in a representative sample of the elderly Korean population. METHODS: A total of 2,519 subjects who participated in the Korean National Health and Nutrition Examination Survey were cross-sectionally examined. The number of existing permanent teeth was evaluated by clinical oral examination. CKD was defined based on definition and classification by Kidney Disease: Improving Global Outcomes (KDIGO) 2012 guidelines. Multivariable logistic regression analyses were performed controlling for age, gender, income, education, tooth-brushing frequency, periodontitis, state of dentition, smoking, alcohol consumption, hypertension, obesity, diabetes mellitus, and hypercholesterolemia. Subgroup analyses by age and gender were also performed. RESULTS: The number of teeth was significantly associated with CKD after controlling for all potential confounders (adjusted odds ratio [AOR], 1.67; 95% confidence interval [CI], 1.04 to 2.70 for lower number of teeth; AOR, 1.59; 95% CI, 1.14 to 2.23 for moderate number of teeth). In the subgroup analyses, the association was highlighted in females aged 75 years over (AOR, 2.55; 95% CI, 1.05 to 6.20 for lower number of teeth; AOR, 1.95; 95% CI, 1.01 to 3.80 for moderate number of teeth). CONCLUSIONS: Our findings suggest that the number of existing permanent teeth may be associated with CKD among Korean elderly.
Aged* ; Alcohol Drinking ; Classification ; Dentition ; Diabetes Mellitus ; Diagnosis, Oral ; Education ; Epidemiology ; Female ; Humans ; Hypercholesterolemia ; Hypertension ; Kidney Diseases ; Logistic Models ; Nutrition Surveys ; Obesity ; Odds Ratio ; Periodontitis ; Renal Insufficiency, Chronic* ; Risk Factors ; Smoke ; Smoking ; Tooth*

BACKGROUND: Little is known about the natural course of normal fasting glucose (NFG) in Asians and the risk factors for future diabetes. METHODS: A total of 370 Japanese Americans (163 men, 207 women) with NFG levels and no history of diabetes, aged 34 to 75 years, were enrolled. Oral glucose tolerance tests were performed at baseline, 2.5, 5, and 10 years after enrollment. RESULTS: During 10 years of follow-up, 16.1% of participants met criteria for diabetes diagnosis, and 39.6% of subjects still had NFG levels at the time of diabetes diagnosis. During 5 years of follow-up, age (odds ratio [OR], 1.05; 95% confidence interval [CI], 1.01 to 1.10; P=0.026) and family history of diabetes (OR, 3.24; 95% CI, 1.42 to 7.40; P=0.005) were independently associated with future diabetes diagnosis; however, fasting glucose level was not an independent predictor. During 10 years of follow-up, family history of diabetes (OR, 2.76; 95% CI, 1.37 to 5.54; P=0.004), fasting insulin level (OR, 1.01; 95% CI, 1.00 to 1.02; P=0.037), and fasting glucose level (OR, 3.69; 95% CI, 1.13 to 12.01; P=0.030) were associated with diabetes diagnosis independent of conventional risk factors for diabetes. CONCLUSION: A substantial number of subjects with NFG at baseline still remained in the NFG range at the time of diabetes diagnosis. A family history of diabetes and fasting insulin and glucose levels were associated with diabetes diagnosis during 10 years of follow-up; however, fasting glucose level was not associated with diabetes risk within the relatively short-term follow-up period of 5 years in subjects with NFG.
Asian Americans* ; Asian Continental Ancestry Group* ; Blood Glucose ; Diabetes Mellitus, Type 2* ; Diagnosis ; Epidemiology ; Fasting* ; Follow-Up Studies ; Glucose Tolerance Test ; Glucose* ; Humans ; Insulin ; Male ; Risk Factors

OBJECTIVES: To identify the most important demographic risk factors for a diagnosis of type 2 diabetes mellitus (T2DM) using a neural network model.METHODS: This study was conducted on a sample of 234 individuals, in whom T2DM was diagnosed using hemoglobin A1c levels. A multilayer perceptron artificial neural network was used to identify demographic risk factors for T2DM and their importance. The DeLong method was used to compare the models by fitting in sequential steps.RESULTS: Variables found to be significant at a level of p < 0.2 in a univariate logistic regression analysis (age, hypertension, waist circumference, body mass index [BMI], sedentary lifestyle, smoking, vegetable consumption, family history of T2DM, stress, walking, fruit consumption, and sex) were entered into the model. After 7 stages of neural network modeling, only waist circumference (100.0%), age (78.5%), BMI (78.2%), hypertension (69.4%), stress (54.2%), smoking (49.3%), and a family history of T2DM (37.2%) were identified as predictors of the diagnosis of T2DM.CONCLUSIONS: In this study, waist circumference and age were the most important predictors of T2DM. Due to the sensitivity, specificity, and accuracy of the final model, it is suggested that these variables should be used for T2DM risk assessment in screening tests.
Body Mass Index ; Diabetes Mellitus, Type 2 ; Diagnosis ; Epidemiology ; Fruit ; Humans ; Hypertension ; Iran ; Logistic Models ; Mass Screening ; Methods ; Models, Statistical ; Neural Networks (Computer) ; Risk Assessment ; Risk Factors ; Sedentary Lifestyle ; Sensitivity and Specificity ; Smoke ; Smoking ; Vegetables ; Waist Circumference ; Walking

OBJECTIVES: To identify the most important demographic risk factors for a diagnosis of type 2 diabetes mellitus (T2DM) using a neural network model. METHODS: This study was conducted on a sample of 234 individuals, in whom T2DM was diagnosed using hemoglobin A1c levels. A multilayer perceptron artificial neural network was used to identify demographic risk factors for T2DM and their importance. The DeLong method was used to compare the models by fitting in sequential steps. RESULTS: Variables found to be significant at a level of p < 0.2 in a univariate logistic regression analysis (age, hypertension, waist circumference, body mass index [BMI], sedentary lifestyle, smoking, vegetable consumption, family history of T2DM, stress, walking, fruit consumption, and sex) were entered into the model. After 7 stages of neural network modeling, only waist circumference (100.0%), age (78.5%), BMI (78.2%), hypertension (69.4%), stress (54.2%), smoking (49.3%), and a family history of T2DM (37.2%) were identified as predictors of the diagnosis of T2DM. CONCLUSIONS: In this study, waist circumference and age were the most important predictors of T2DM. Due to the sensitivity, specificity, and accuracy of the final model, it is suggested that these variables should be used for T2DM risk assessment in screening tests.
Body Mass Index ; Diabetes Mellitus, Type 2* ; Diagnosis ; Epidemiology ; Fruit ; Humans ; Hypertension ; Iran ; Logistic Models ; Mass Screening ; Methods ; Models, Statistical ; Neural Networks (Computer)* ; Risk Assessment ; Risk Factors* ; Sedentary Lifestyle ; Sensitivity and Specificity ; Smoke ; Smoking ; Vegetables ; Waist Circumference ; Walking

INTRODUCTION: This study aimed to determine the 5-year incidence of albuminuria among Asian persons with newly diagnosed type 2 diabetes mellitus (DM), and to identify the risk factors at diagnosis for progression to albuminuria. MATERIALS AND METHODS: A retrospective 5-year closed cohort study was conducted among 1016 persons aged ≥18 years old who were diagnosed with type 2 DM between 1 January 2007 and 31 December 2009 at primary care facilities in Singapore. The cumulative incidence of progression from normoalbuminuria to albuminuria-termed "progression"-was determined. The risk factors associated with progression were evaluated using multiple logistic regression analysis. RESULTS: A total of 541 (53.2%) participants were men. The mean (SD) onset age of type 2 DM was 54 (11) years. From diagnosis of type 2 DM, the 5-year cumulative incidence of progression was 17.3% and mean (SD) duration to progression was 2.88 (1.23) years. Higher onset age (OR 1.02; 95% CI, 1.00-1.04), history of hypertension (OR, 1.88; 95% CI, 1.32-2.70) and higher glycated haemoglobin (HbA1c) (OR, 1.17; 95% CI, 1.09-1.26) at diagnosis were associated with progression. In addition, being on angiotensin converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) treatment at baseline modified the effect of hypertension on progression. CONCLUSION This study highlighted the importance of early screening and treatment of diabetes as well as prevention of hypertension, which could potentially delay the onset of microalbuminuria in persons with type 2 DM. Persons on ACEI or ARB treatment should continue to be monitored regularly for progression to albuminuria.
Adult ; Age of Onset ; Aged ; Albuminuria ; epidemiology ; Angiotensin Receptor Antagonists ; therapeutic use ; Angiotensin-Converting Enzyme Inhibitors ; therapeutic use ; Cohort Studies ; Diabetes Mellitus, Type 2 ; diagnosis ; epidemiology ; metabolism ; Disease Progression ; Female ; Glycated Hemoglobin A ; metabolism ; Humans ; Hypertension ; drug therapy ; epidemiology ; Logistic Models ; Male ; Middle Aged ; Retrospective Studies ; Risk Factors ; Singapore ; epidemiology

BACKGROUND: To date, numerous studies have investigated the epidemiology and clinical characteristics of male pattern hair loss (MPHL). OBJECTIVE: The purpose of this study was to evaluate a large number of long-term MPHL patients and to compare them to shorter term ones from other studies. METHODS: We retrospectively reviewed charts of patients diagnosed with MPHL during a 10-year period at the alopecia clinic at the Department of Dermatology of Myongji Hospital. RESULTS: Among 3,549 alopecia patients who had visited the hospital's alopecia clinic, 1,360 were patients demonstrating MPHL (38.3%). The most frequent age group was patients in their 20's (30.1%) followed by those in their 30's (28.2%), 40's (17.2%), 50's (9.9%), and teenagers (8.9%). There were 599 MPHL patients (44.0%) with a paternal familial predisposition, 182 (13.4%) with a maternal familial predisposition, and 118 (8.7%) with familial predisposition on maternal and paternal sides. MPHL was classified based on the Norwood-Hamilton classification: type 2 (20.0%), type 3v (19.4%), and type 3a (16.3%) were the most frequent. Abnormalities in total serum cholesterol were found in 15.1% patients and triglycerides in 36.1% of patients. The most common comorbidity was seborrheic dermatitis, followed by hypertension, hyperlipidemia, diabetes mellitus, and gastrointestinal diseases. CONCLUSION: This study demonstrated that the period of MPHL diagnosis and treatment becomes earlier in age and milder regarding MPHL type, which may be due to early puberty in teenagers.
Adolescent ; Alopecia ; Cholesterol ; Classification ; Comorbidity ; Dermatitis, Seborrheic ; Dermatology ; Diabetes Mellitus ; Diagnosis ; Epidemiology ; Gastrointestinal Diseases ; Hair* ; Humans ; Hyperlipidemias ; Hypertension ; Male* ; Puberty ; Retrospective Studies ; Triglycerides

Sarcopenia is defined as the loss of muscle mass and strength that occurs with aging. Although the etiology, pathogenesis, and diagnosis of sarcopenia are obscure, sarcopenia has been suggested to play a pivotal role in the pathogenesis of frailty and functional impairment in diabetes. The aim of this article was to provide an overview of the pathogenesis, diagnosis, epidemiology, and clinical implications of sarcopenia and the relationship between diabetes and sarcopenia.
Aging ; Diabetes Mellitus ; Diagnosis ; Epidemiology ; Sarcopenia*