Disparities in Glycemic Outcomes Persist in Youth with Type 1 Diabetes and High-Technology Use

Background. Racial disparities are well described in glycemic outcomes in youth with Type 1 diabetes mellites (T1D). Hemoglobin A1c (HbA1c) has some limitations in comparing glycemia across patient groups as there are individual variations in mean glucose and HbA1c. Objective. This study aimed to co...

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Published inPediatric diabetes Vol. 2023; no. 1; pp. 1 - 6
Main Authors Nath, Meryl C., Frey, Blake, Atchison, Joycelyn, Schmitt, Jessica A.
Format Journal Article
LanguageEnglish
Published United States Hindawi 2023
John Wiley & Sons, Inc
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Online AccessGet full text
ISSN1399-543X
1399-5448
1399-5448
DOI10.1155/2023/6646582

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Abstract Background. Racial disparities are well described in glycemic outcomes in youth with Type 1 diabetes mellites (T1D). Hemoglobin A1c (HbA1c) has some limitations in comparing glycemia across patient groups as there are individual variations in mean glucose and HbA1c. Objective. This study aimed to compare glycemic metrics obtained from (Dexcom G6) continuous glucose monitor (CGM) device with HbA1c levels controlling for race, age, duration of diabetes, race, insurance status, and insulin pump use with glycemic control. Subjects and Methods. Data analyzed included 188 patients, majority non-Hispanic White (NHW) (n = 147, 78.2%) and majority privately insured (n = 147, 78.2%). Half of the patients were using insulin pumps, (n = 94, 50.0%) and approximately half were female. Median age was 16.6 (interquartile range: 14.2–18.2) years old with a median age of diabetes diagnosis at 9.3-years old. Results. Significant differences were observed between NHW and non-Hispanic Black (NHB) patients in terms of HbA1c, 90-day mean glucose, and 90-day time >250 mg/dL (>13.9 mmol/L) (7.6% vs. 9.2%, 181 mg/dL vs. 220 mg/dL, and 16.3% vs. 34.7%, respectively, p<0.001 for all comparisons). Multiple linear regression analysis was performed to predict the influence of age, duration of diabetes, race, insurance status, and insulin administration on glycemic outcomes. Regression analysis revealed significant equations for all glycemic outcomes, demonstrating a strong correlation (p<0.0001, p=0.0001, and p<0.0001, respectively). However, after controlling for these variables, only race and duration of diabetes remained independently associated with glycemic outcomes, suggesting that these factors strongly influence glycemic control independent of age, sex, insurance, and pump use. Conclusion. Even in a subset of youth with T1D using CGM with high rates of insulin pump use, disparities in glycemic outcomes persist. When evaluating glycemic outcomes, race remained a significant cofactor despite controlling for age, duration of diabetes, sex, insurance status, and insulin administration type. These results add to the existing literature, and demonstrate race remains strong predictor of glycemic outcomes.
AbstractList Background. Racial disparities are well described in glycemic outcomes in youth with Type 1 diabetes mellites (T1D). Hemoglobin A1c (HbA1c) has some limitations in comparing glycemia across patient groups as there are individual variations in mean glucose and HbA1c. Objective. This study aimed to compare glycemic metrics obtained from (Dexcom G6) continuous glucose monitor (CGM) device with HbA1c levels controlling for race, age, duration of diabetes, race, insurance status, and insulin pump use with glycemic control. Subjects and Methods. Data analyzed included 188 patients, majority non-Hispanic White (NHW) (n = 147, 78.2%) and majority privately insured (n = 147, 78.2%). Half of the patients were using insulin pumps, (n = 94, 50.0%) and approximately half were female. Median age was 16.6 (interquartile range: 14.2–18.2) years old with a median age of diabetes diagnosis at 9.3-years old. Results. Significant differences were observed between NHW and non-Hispanic Black (NHB) patients in terms of HbA1c, 90-day mean glucose, and 90-day time >250 mg/dL (>13.9 mmol/L) (7.6% vs. 9.2%, 181 mg/dL vs. 220 mg/dL, and 16.3% vs. 34.7%, respectively, p<0.001 for all comparisons). Multiple linear regression analysis was performed to predict the influence of age, duration of diabetes, race, insurance status, and insulin administration on glycemic outcomes. Regression analysis revealed significant equations for all glycemic outcomes, demonstrating a strong correlation (p<0.0001, p=0.0001, and p<0.0001, respectively). However, after controlling for these variables, only race and duration of diabetes remained independently associated with glycemic outcomes, suggesting that these factors strongly influence glycemic control independent of age, sex, insurance, and pump use. Conclusion. Even in a subset of youth with T1D using CGM with high rates of insulin pump use, disparities in glycemic outcomes persist. When evaluating glycemic outcomes, race remained a significant cofactor despite controlling for age, duration of diabetes, sex, insurance status, and insulin administration type. These results add to the existing literature, and demonstrate race remains strong predictor of glycemic outcomes.
Background. Racial disparities are well described in glycemic outcomes in youth with Type 1 diabetes mellites (T1D). Hemoglobin A1c (HbA1c) has some limitations in comparing glycemia across patient groups as there are individual variations in mean glucose and HbA1c. Objective. This study aimed to compare glycemic metrics obtained from (Dexcom G6) continuous glucose monitor (CGM) device with HbA1c levels controlling for race, age, duration of diabetes, race, insurance status, and insulin pump use with glycemic control. Subjects and Methods. Data analyzed included 188 patients, majority non-Hispanic White (NHW) (n = 147, 78.2%) and majority privately insured (n = 147, 78.2%). Half of the patients were using insulin pumps, (n = 94, 50.0%) and approximately half were female. Median age was 16.6 (interquartile range: 14.2–18.2) years old with a median age of diabetes diagnosis at 9.3-years old. Results. Significant differences were observed between NHW and non-Hispanic Black (NHB) patients in terms of HbA1c, 90-day mean glucose, and 90-day time >250 mg/dL (>13.9 mmol/L) (7.6% vs. 9.2%, 181 mg/dL vs. 220 mg/dL, and 16.3% vs. 34.7%, respectively, p < 0.001 for all comparisons). Multiple linear regression analysis was performed to predict the influence of age, duration of diabetes, race, insurance status, and insulin administration on glycemic outcomes. Regression analysis revealed significant equations for all glycemic outcomes, demonstrating a strong correlation ( p < 0.0001 , p = 0.0001 , and p < 0.0001 , respectively). However, after controlling for these variables, only race and duration of diabetes remained independently associated with glycemic outcomes, suggesting that these factors strongly influence glycemic control independent of age, sex, insurance, and pump use. Conclusion. Even in a subset of youth with T1D using CGM with high rates of insulin pump use, disparities in glycemic outcomes persist. When evaluating glycemic outcomes, race remained a significant cofactor despite controlling for age, duration of diabetes, sex, insurance status, and insulin administration type. These results add to the existing literature, and demonstrate race remains strong predictor of glycemic outcomes.
Racial disparities are well described in glycemic outcomes in youth with Type 1 diabetes mellites (T1D). Hemoglobin A1c (HbA1c) has some limitations in comparing glycemia across patient groups as there are individual variations in mean glucose and HbA1c.BackgroundRacial disparities are well described in glycemic outcomes in youth with Type 1 diabetes mellites (T1D). Hemoglobin A1c (HbA1c) has some limitations in comparing glycemia across patient groups as there are individual variations in mean glucose and HbA1c.This study aimed to compare glycemic metrics obtained from (Dexcom G6) continuous glucose monitor (CGM) device with HbA1c levels controlling for race, age, duration of diabetes, race, insurance status, and insulin pump use with glycemic control. Subjects and Methods. Data analyzed included 188 patients, majority non-Hispanic White (NHW) (n = 147, 78.2%) and majority privately insured (n = 147, 78.2%). Half of the patients were using insulin pumps, (n = 94, 50.0%) and approximately half were female. Median age was 16.6 (interquartile range: 14.2-18.2) years old with a median age of diabetes diagnosis at 9.3-years old.ObjectiveThis study aimed to compare glycemic metrics obtained from (Dexcom G6) continuous glucose monitor (CGM) device with HbA1c levels controlling for race, age, duration of diabetes, race, insurance status, and insulin pump use with glycemic control. Subjects and Methods. Data analyzed included 188 patients, majority non-Hispanic White (NHW) (n = 147, 78.2%) and majority privately insured (n = 147, 78.2%). Half of the patients were using insulin pumps, (n = 94, 50.0%) and approximately half were female. Median age was 16.6 (interquartile range: 14.2-18.2) years old with a median age of diabetes diagnosis at 9.3-years old.Significant differences were observed between NHW and non-Hispanic Black (NHB) patients in terms of HbA1c, 90-day mean glucose, and 90-day time >250 mg/dL (>13.9 mmol/L) (7.6% vs. 9.2%, 181 mg/dL vs. 220 mg/dL, and 16.3% vs. 34.7%, respectively, p < 0.001 for all comparisons). Multiple linear regression analysis was performed to predict the influence of age, duration of diabetes, race, insurance status, and insulin administration on glycemic outcomes. Regression analysis revealed significant equations for all glycemic outcomes, demonstrating a strong correlation (p < 0.0001, p=0.0001, and p < 0.0001, respectively). However, after controlling for these variables, only race and duration of diabetes remained independently associated with glycemic outcomes, suggesting that these factors strongly influence glycemic control independent of age, sex, insurance, and pump use.ResultsSignificant differences were observed between NHW and non-Hispanic Black (NHB) patients in terms of HbA1c, 90-day mean glucose, and 90-day time >250 mg/dL (>13.9 mmol/L) (7.6% vs. 9.2%, 181 mg/dL vs. 220 mg/dL, and 16.3% vs. 34.7%, respectively, p < 0.001 for all comparisons). Multiple linear regression analysis was performed to predict the influence of age, duration of diabetes, race, insurance status, and insulin administration on glycemic outcomes. Regression analysis revealed significant equations for all glycemic outcomes, demonstrating a strong correlation (p < 0.0001, p=0.0001, and p < 0.0001, respectively). However, after controlling for these variables, only race and duration of diabetes remained independently associated with glycemic outcomes, suggesting that these factors strongly influence glycemic control independent of age, sex, insurance, and pump use.Even in a subset of youth with T1D using CGM with high rates of insulin pump use, disparities in glycemic outcomes persist. When evaluating glycemic outcomes, race remained a significant cofactor despite controlling for age, duration of diabetes, sex, insurance status, and insulin administration type. These results add to the existing literature, and demonstrate race remains strong predictor of glycemic outcomes.ConclusionEven in a subset of youth with T1D using CGM with high rates of insulin pump use, disparities in glycemic outcomes persist. When evaluating glycemic outcomes, race remained a significant cofactor despite controlling for age, duration of diabetes, sex, insurance status, and insulin administration type. These results add to the existing literature, and demonstrate race remains strong predictor of glycemic outcomes.
Racial disparities are well described in glycemic outcomes in youth with Type 1 diabetes mellites (T1D). Hemoglobin A1c (HbA1c) has some limitations in comparing glycemia across patient groups as there are individual variations in mean glucose and HbA1c. This study aimed to compare glycemic metrics obtained from (Dexcom G6) continuous glucose monitor (CGM) device with HbA1c levels controlling for race, age, duration of diabetes, race, insurance status, and insulin pump use with glycemic control. . Data analyzed included 188 patients, majority non-Hispanic White (NHW) (  = 147, 78.2%) and majority privately insured (  = 147, 78.2%). Half of the patients were using insulin pumps, (  = 94, 50.0%) and approximately half were female. Median age was 16.6 (interquartile range: 14.2-18.2) years old with a median age of diabetes diagnosis at 9.3-years old. Significant differences were observed between NHW and non-Hispanic Black (NHB) patients in terms of HbA1c, 90-day mean glucose, and 90-day time >250 mg/dL (>13.9 mmol/L) (7.6% vs. 9.2%, 181 mg/dL vs. 220 mg/dL, and 16.3% vs. 34.7%, respectively, < 0.001 for all comparisons). Multiple linear regression analysis was performed to predict the influence of age, duration of diabetes, race, insurance status, and insulin administration on glycemic outcomes. Regression analysis revealed significant equations for all glycemic outcomes, demonstrating a strong correlation ( < 0.0001, =0.0001, and < 0.0001, respectively). However, after controlling for these variables, only race and duration of diabetes remained independently associated with glycemic outcomes, suggesting that these factors strongly influence glycemic control independent of age, sex, insurance, and pump use. Even in a subset of youth with T1D using CGM with high rates of insulin pump use, disparities in glycemic outcomes persist. When evaluating glycemic outcomes, race remained a significant cofactor despite controlling for age, duration of diabetes, sex, insurance status, and insulin administration type. These results add to the existing literature, and demonstrate race remains strong predictor of glycemic outcomes.
Author Frey, Blake
Nath, Meryl C.
Atchison, Joycelyn
Schmitt, Jessica A.
AuthorAffiliation 2 Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL 35233, USA
1 UAB Heersink School of Medicine, Birmingham, AL 35233, USA
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Cites_doi 10.2337/dc20-0257
10.2337/dc13-2112
10.1089/dia.2021.0511
10.1542/peds.2014-1774
10.2337/dc09-1440
10.1089/dia.2018.0384
10.7326/M16-2596
10.1001/jamanetworkopen.2021.31278
10.1016/s0022-3476(94)70190-3
10.2337/dc20-1531
10.1111/pedi.12711
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References 1
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  doi: 10.1542/peds.2014-1774
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  doi: 10.2337/dc09-1440
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  article-title: Correlation of hemoglobin A1c and continuous glucose monitor metrics in diverse populations of youth with diabetes
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  doi: 10.1089/dia.2018.0384
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  doi: 10.7326/M16-2596
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  doi: 10.1001/jamanetworkopen.2021.31278
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  doi: 10.1016/s0022-3476(94)70190-3
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Snippet Background. Racial disparities are well described in glycemic outcomes in youth with Type 1 diabetes mellites (T1D). Hemoglobin A1c (HbA1c) has some...
Racial disparities are well described in glycemic outcomes in youth with Type 1 diabetes mellites (T1D). Hemoglobin A1c (HbA1c) has some limitations in...
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StartPage 1
SubjectTerms Adolescent
Age
Blood glucose
Blood Glucose - analysis
Blood Glucose Self-Monitoring
Child
Diabetes
Diabetes mellitus (insulin dependent)
Diabetes Mellitus, Type 1 - blood
Diabetes Mellitus, Type 1 - drug therapy
Diabetes Mellitus, Type 1 - ethnology
Female
Glucose
Glycated Hemoglobin - analysis
Glycemic Control
Healthcare Disparities - statistics & numerical data
Hemoglobin
Humans
Hypoglycemic Agents - administration & dosage
Hypoglycemic Agents - therapeutic use
Infusion pumps
Insulin
Insulin - administration & dosage
Insulin Infusion Systems - statistics & numerical data
Male
Regression analysis
White
Title Disparities in Glycemic Outcomes Persist in Youth with Type 1 Diabetes and High-Technology Use
URI https://dx.doi.org/10.1155/2023/6646582
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Volume 2023
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