Racial/ethnic variation in prevalence estimates for United States prediabetes under alternative 2010 American Diabetes Association criteria: 1988-2008
Office of Public Health Studies, University of Hawaii at Manoa, USA. Ethnicity & disease
(Impact Factor: 1).
To compare the racial/ethnic variation in United States prediabetes prevalence estimates for alternative prediabetes definitions currently approved by the American Diabetes Association (ADA) across 20 years and in detailed multivariate comparisons.
Using nationally representative National Health and Nutrition Examination Survey (NHANES) data from 1988-2008, we compared trends in the prevalence of impaired fasting glucose (IFG) and impaired glycated hemoglobin (IGH) for non-Hispanic Black, non-Hispanic White, and Mexican American/other Hispanic adults. Using NHANES 2005-2008, we compared prevalence by race/ethnicity in more detail for the three current ADA prediabetes definitions--IFG, IGH, and impaired glucose tolerance (IGT)--controlling for associated factors (education, income, weight, age, sex).
Prediabetes prevalence during the last 20 years was consistently significantly lower among non-Hispanic Blacks compared to non-Hispanic Whites when measured by IFG, but was significantly higher among non-Hispanic Blacks when measured by IGH. In adjusted models, non-Hispanic Blacks were significantly more likely than non-Hispanic Whites to have IGH (OR: 2.22; 95% CI: 1.33-3.70) and less likely to have IFG (OR: 0.46; 0.30-0.73) or IGT (OR: 0.35; 0.24-0.50), but Mexican American/other Hispanic rates did not differ significantly from non-Hispanic White rates. However, rates of prediabetes, when defined by any of three individual diagnostic criteria, were not statistically significantly different across groups (36.8% for non-Hispanic Whites, 36.0% AA, 37.3% Mexican American/other Hispanics).
National prediabetes prevalence estimates vary dramatically across racial/ethnic groups according to diagnostic method, though over 35% in all three racial/ethnic groups met at least one ADA diagnostic criteria for prediabetes.
Available from: Deok Won Kim
- "Prediabetes was first recognized as an intermediate diagnosis and indication of a relatively high risk for the future development of diabetes by the Expert Committee on Diagnosis and Classification of Diabetes Mellitus in 1997 , and it has been reported that approximately 5–10% of patients with untreated prediabetes subsequently develop diabetes  . This is significant considering that prediabetes based on impaired fasting glucose (IFG) was estimated to affect 4.9 million people, accounting for 17.4% of Korean adults in 2005 , with a further 35% of adults in the US with prediabetes in 2008 . The definition of prediabetes includes a fasting plasma glucose (FPG) level in the range of 100–125 mg/dL (5.6–6.9 mmol/L), impaired glucose tolerance (IGT) (oral glucose tolerance test (OGTT) 2 h measurement in the range of 140–199 mg/dL (7. "
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ABSTRACT: The global prevalence of diabetes is rapidly increasing. Studies support the necessity of screening and interventions for prediabetes, which could result in serious complications and diabetes. This study aimed at developing an intelligence-based screening model for prediabetes. Data from the Korean National Health and Nutrition Examination Survey (KNHANES) were used, excluding subjects with diabetes. The KNHANES 2010 data (n = 4685) were used for training and internal validation, while data from KNHANES 2011 (n = 4566) were used for external validation. We developed two models to screen for prediabetes using an artificial neural network (ANN) and support vector machine (SVM) and performed a systematic evaluation of the models using internal and external validation. We compared the performance of our models with that of a screening score model based on logistic regression analysis for prediabetes that had been developed previously. The SVM model showed the areas under the curve of 0.731 in the external datasets, which is higher than those of the ANN model (0.729) and the screening score model (0.712), respectively. The prescreening methods developed in this study performed better than the screening score model that had been developed previously and may be more effective method for prediabetes screening.
Computational and Mathematical Methods in Medicine 07/2014; 2014(3):618976. DOI:10.1155/2014/618976 · 0.77 Impact Factor
Available from: Didier A Mandelbrot
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ABSTRACT: The annual number of living kidney donors in the United States peaked at 6647 in 2004. The preceding decade saw a 120% increase in living kidney donation. However, since 2004, living kidney donation has declined in all but 1 year, resulting in a 13% decline in the annual number of living kidney donors from 2004 to 2011. The proportional decline in living kidney donation has been more pronounced among men, blacks, younger adults, siblings, and parents. In this article, we explore several possible explanations for the decline in living kidney donation, including an increase in medical unsuitability, an aging transplant patient population, financial disincentives, public policies, and shifting practice patterns, among others. We conclude that the decline in living donation is not merely reflective of random variation but one that warrants action by the transplant centers, the broader transplant community, and the state and national governments.
Transplantation 06/2013; 96(9). DOI:10.1097/TP.0b013e318298fa61 · 3.83 Impact Factor
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A prediabetic state is defined as the time period before the development of symptomatic diabetes. Limited evidence is available for evaluating the correlation between prediabetes and short-term outcomes in nondiabetic patients with ST-elevation of myocardial infarction (STEMI).
4,787 nondiabetic patients with a diagnosis of STEMI based on typical onset of chest pain within 12 h were enrolled. Patients were followed up for 7 and 30 days after hospital admission. According to the 2013 Standards of Medical Care in Diabetes, the study population was stratified into three groups: normal, prediabetic and newly diagnosed diabetic patients. The primary outcomes of our study were all-cause mortality and major adverse cardiac events (MACE) on days 7 day and 30.
The proportions of patients with prediabetes and newly diagnosed diabetes were 31.1 and 19.2%, respectively. Rates of 7- and 30-day mortality and MACE were similar among the different HbA1c groups. Multivariable Cox regression analysis showed that compared with normal glucose metabolism, prediabetes (hazard ratio, HR, 1.003; 95% CI, 0.865-1.165) and newly diagnosed diabetes (HR, 0.887; 95% CI, 0.739-1.064) were not correlated with 30-day MACE. However, admission glucose was an independent predictor of short-term MACE (HR, 1.031; 95% CI, 1.017-1.046).
In nondiabetic patients after STEMI, the incidence of latent diabetes mellitus was increased. Newly diagnosed diabetes and prediabetes were not correlated with short-term outcome in nondiabetic patients with STEMI, yet admission glucose level was an independent predictor of short-term MACE. To reduce the incidence of short-term MACE after STEMI, more attention should be paid to the control of increased glucose levels and intrinsic stress states.
Cardiology 11/2013; 127(1):55-61. DOI:10.1159/000354998 · 2.18 Impact Factor
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