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Screening for Dysglycemia in Overweight Youth Presenting for Weight Management

OBJECTIVE: To examine the performance of current screening recommendations for detecting dysglycemia in children and adolescents with obesity. RESEARCH DESIGN AND METHODS: In a cross-sectional study, an oral glucose tolerance test and demographic (age, sex, family history of diabetes, and ethnicity)...

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Autores principales: Morrison, Katherine M., Xu, Liqin, Tarnopolsky, Mark, Yusuf, Zaheera, Atkinson, Stephanie A., Yusuf, Salim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308274/
https://www.ncbi.nlm.nih.gov/pubmed/22271926
http://dx.doi.org/10.2337/dc11-1659
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author Morrison, Katherine M.
Xu, Liqin
Tarnopolsky, Mark
Yusuf, Zaheera
Atkinson, Stephanie A.
Yusuf, Salim
author_facet Morrison, Katherine M.
Xu, Liqin
Tarnopolsky, Mark
Yusuf, Zaheera
Atkinson, Stephanie A.
Yusuf, Salim
author_sort Morrison, Katherine M.
collection PubMed
description OBJECTIVE: To examine the performance of current screening recommendations for detecting dysglycemia in children and adolescents with obesity. RESEARCH DESIGN AND METHODS: In a cross-sectional study, an oral glucose tolerance test and demographic (age, sex, family history of diabetes, and ethnicity), clinical (BMI z score, waist circumference, and pubertal stage), and laboratory variables used in current pediatric screening criteria for type 2 diabetes mellitus were measured in 259 overweight or obese youth aged 5–17 years. Glycemic status was based on American Diabetes Association (ADA) thresholds. The performance (sensitivity and specificity) of current screening criteria and newly developed models to identify isolated IGT were compared. RESULTS: Dysglycemia was present in 20.8% of the cohort. Of the 54 participants with dysglycemia, 68% had a normal fasting glucose and were identified with the 2-h glucose test. Current ADA criteria had low sensitivity (41.7% [95% CI 25.6–57.8]) and moderate specificity (69.5% [63.5–75.6]) to identify IGT. In receiver operating characteristic (ROC) analysis, the addition of hemoglobin A(1c) (HbA(1c)) or FPG did not improve the ROC area under the curve (AUC) (HbA(1c): 0.64 vs. 0.63; P = 0.54; HbA(1c) + FPG: 0.66; P = 0.42), but adding triglyceride level did (AUC 0.72 vs. 0.63; P = 0.03). A simple model with fasting triglyceride level >1.17 mmol/L improved AUC compared with ADA screening criteria (0.68 vs. 0.57; P = 0.04). CONCLUSIONS: The prevalence of IGT is high among obese children and youth. Current screening criteria have low sensitivity to detect isolated IGT. Although adding nonfasting laboratory values to history and physical measures does not improve diagnostic accuracy, adding fasting lipid profile improves predictive value.
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spelling pubmed-33082742013-04-01 Screening for Dysglycemia in Overweight Youth Presenting for Weight Management Morrison, Katherine M. Xu, Liqin Tarnopolsky, Mark Yusuf, Zaheera Atkinson, Stephanie A. Yusuf, Salim Diabetes Care Original Research OBJECTIVE: To examine the performance of current screening recommendations for detecting dysglycemia in children and adolescents with obesity. RESEARCH DESIGN AND METHODS: In a cross-sectional study, an oral glucose tolerance test and demographic (age, sex, family history of diabetes, and ethnicity), clinical (BMI z score, waist circumference, and pubertal stage), and laboratory variables used in current pediatric screening criteria for type 2 diabetes mellitus were measured in 259 overweight or obese youth aged 5–17 years. Glycemic status was based on American Diabetes Association (ADA) thresholds. The performance (sensitivity and specificity) of current screening criteria and newly developed models to identify isolated IGT were compared. RESULTS: Dysglycemia was present in 20.8% of the cohort. Of the 54 participants with dysglycemia, 68% had a normal fasting glucose and were identified with the 2-h glucose test. Current ADA criteria had low sensitivity (41.7% [95% CI 25.6–57.8]) and moderate specificity (69.5% [63.5–75.6]) to identify IGT. In receiver operating characteristic (ROC) analysis, the addition of hemoglobin A(1c) (HbA(1c)) or FPG did not improve the ROC area under the curve (AUC) (HbA(1c): 0.64 vs. 0.63; P = 0.54; HbA(1c) + FPG: 0.66; P = 0.42), but adding triglyceride level did (AUC 0.72 vs. 0.63; P = 0.03). A simple model with fasting triglyceride level >1.17 mmol/L improved AUC compared with ADA screening criteria (0.68 vs. 0.57; P = 0.04). CONCLUSIONS: The prevalence of IGT is high among obese children and youth. Current screening criteria have low sensitivity to detect isolated IGT. Although adding nonfasting laboratory values to history and physical measures does not improve diagnostic accuracy, adding fasting lipid profile improves predictive value. American Diabetes Association 2012-04 2012-03-13 /pmc/articles/PMC3308274/ /pubmed/22271926 http://dx.doi.org/10.2337/dc11-1659 Text en © 2012 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.
spellingShingle Original Research
Morrison, Katherine M.
Xu, Liqin
Tarnopolsky, Mark
Yusuf, Zaheera
Atkinson, Stephanie A.
Yusuf, Salim
Screening for Dysglycemia in Overweight Youth Presenting for Weight Management
title Screening for Dysglycemia in Overweight Youth Presenting for Weight Management
title_full Screening for Dysglycemia in Overweight Youth Presenting for Weight Management
title_fullStr Screening for Dysglycemia in Overweight Youth Presenting for Weight Management
title_full_unstemmed Screening for Dysglycemia in Overweight Youth Presenting for Weight Management
title_short Screening for Dysglycemia in Overweight Youth Presenting for Weight Management
title_sort screening for dysglycemia in overweight youth presenting for weight management
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308274/
https://www.ncbi.nlm.nih.gov/pubmed/22271926
http://dx.doi.org/10.2337/dc11-1659
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