Kellee M Miller1, Roy W Beck1, Nicole C Foster1, David M Maahs2. 1. Jaeb Center for Health Research, Tampa, Florida. 2. Department of Pediatrics - Endocrinology and Diabetes, Stanford University, Stanford California.
Abstract
Objective: The T1D Exchange Clinic Registry figure of HbA1c levels according to age has become a classic picture of how average HbA1c varies from childhood to elderly. To further assess the course of HbA1c across the life span in T1D, we created similar figures stratified by device use and socioeconomic status (SES). Methods: Mean HbA1c was plotted versus age for 21,253 T1D Exchange Clinic Registry participants with an HbA1c measurement between January 1, 2016 and March 31, 2018 according to device use, race/ethnicity, and measures of SES. Results: Across the age range from childhood to elderly, continuous glucose monitoring (CGM) use without an insulin pump had better average HbA1c than pump without CGM; and among CGM users, pump and injection users had similar HbA1c levels. Any device use (pump or CGM) was associated with better HbA1c levels than no device use across the age range. Lower SES and African American race were associated with higher HbA1c across the age range. Across all device use, SES, and race/ethnicity factors, average HbA1c levels were highest in adolescents and young adults. Conclusion: Although the plot of average HbA1c from early childhood to elderly shifts according to device use and SES factors, the shape of the plots remains reasonably constant with highest HbA1c levels in adolescents and young adults. These findings emphasize the importance of targeting adolescence and early adulthood as the ages with the greatest need for improving diabetes management irrespective of device use and SES.
Objective: The T1D Exchange Clinic Registry figure of HbA1c levels according to age has become a classic picture of how average HbA1c varies from childhood to elderly. To further assess the course of HbA1c across the life span in T1D, we created similar figures stratified by device use and socioeconomic status (SES). Methods: Mean HbA1c was plotted versus age for 21,253 T1D Exchange Clinic Registry participants with an HbA1c measurement between January 1, 2016 and March 31, 2018 according to device use, race/ethnicity, and measures of SES. Results: Across the age range from childhood to elderly, continuous glucose monitoring (CGM) use without an insulin pump had better average HbA1c than pump without CGM; and among CGM users, pump and injection users had similar HbA1c levels. Any device use (pump or CGM) was associated with better HbA1c levels than no device use across the age range. Lower SES and African American race were associated with higher HbA1c across the age range. Across all device use, SES, and race/ethnicity factors, average HbA1c levels were highest in adolescents and young adults. Conclusion: Although the plot of average HbA1c from early childhood to elderly shifts according to device use and SES factors, the shape of the plots remains reasonably constant with highest HbA1c levels in adolescents and young adults. These findings emphasize the importance of targeting adolescence and early adulthood as the ages with the greatest need for improving diabetes management irrespective of device use and SES.
Authors: Kellee M Miller; Nicole C Foster; Roy W Beck; Richard M Bergenstal; Stephanie N DuBose; Linda A DiMeglio; David M Maahs; William V Tamborlane Journal: Diabetes Care Date: 2015-06 Impact factor: 19.112
Authors: Steven M Willi; Kellee M Miller; Linda A DiMeglio; Georgeanna J Klingensmith; Jill H Simmons; William V Tamborlane; Kristen J Nadeau; Julie M Kittelsrud; Peter Huckfeldt; Roy W Beck; Terri H Lipman Journal: Pediatrics Date: 2015-03 Impact factor: 7.124
Authors: Roy W Beck; William V Tamborlane; Richard M Bergenstal; Kellee M Miller; Stephanie N DuBose; Callyn A Hall Journal: J Clin Endocrinol Metab Date: 2012-09-20 Impact factor: 5.958
Authors: Nicole C Foster; Roy W Beck; Kellee M Miller; Mark A Clements; Michael R Rickels; Linda A DiMeglio; David M Maahs; William V Tamborlane; Richard Bergenstal; Elizabeth Smith; Beth A Olson; Satish K Garg Journal: Diabetes Technol Ther Date: 2019-01-18 Impact factor: 6.118
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