What is the Relationship Between Time in Range, Time in Tight Range, and HbA1c in Youth and Young Adults With Type 1 Diabetes? Results From the German/Austrian/Luxembourgian/Swiss Diabetes Prospective Follow-Up Registry

被引：0

作者：

Burckhardt, Marie-Anne ^{[1
,2
]}

Auzanneau, Marie ^{[3
,4
]}

Rosenbauer, Joachim ^{[4
,5
]}

Binder, Elisabeth ^{[6
]}

Weiskorn, Jantje ^{[7
]}

Hess, Melanie ^{[1
,2
]}

Klinkert, Christof ^{[8
]}

Mirza, Joaquina ^{[9
]}

Zehnder, Lara-Sophie ^{[10
]}

Wenzel, Sandra ^{[11
]}

Placzek, Kerstin ^{[12
]}

Holl, Reinhard W. ^{[3
,4
]}

机构：

[1] Univ Childrens Hosp Basel UKBB, Pediat Endocrinol & Diabetol, Spitalstr 33, CH-4056 Basel, Switzerland

[2] Univ Basel, Dept Clin Res, Basel, Switzerland

[3] Univ Ulm, Inst Epidemiol & Med Biometry, CAQM, Ulm, Germany

[4] German Ctr Diabet Res, Neuherberg, Germany

[5] Heinrich Heine Univ Dusseldorf, Inst Biometr & Epidemiol, German Diabet Ctr, Leibniz Ctr Diabet Res, Dusseldorf, Germany

[6] Med Univ Innsbruck, Dept Pediat, Innsbruck, Austria

[7] Childrens Hosp Bult, Diabet Ctr Children & Adolescents, Hannover, Germany

[8] Diabet Specialized Practice Children & Adolesce, Herford, Germany

[9] Childrens Hosp, Hosp Child & Adolescent Med, Pediat Diabetol, Amsterdamer Str, Cologne, Germany

[10] Childrens Clin Princess Margaret, Darmstadt, Germany

[11] Catholic Childrens Hosp Wilhelmstift, Hamburg, Germany

[12] Martin Luther Univ Halle Wittenberg, Dept Pediat, Fac Med, Halle, Germany

来源：

JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY | 2024年

关键词：

type; 1; diabetes; continuous glucose monitoring; time in range; time in tight range; youth; young adults; GLUCOSE; METRICS;

D O I：

10.1177/19322968241288870

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Objectives: Time in range (TIR, 70-180 mg/dL) is an established marker of glycemic control. More recently, time in tight range (TTR, 70-140 mg/dL) has been proposed as well. The aim of this study was to examine the relationship between TIR, TTR, and HbA1c in youth and young adults with type 1 diabetes (T1D) in the German/Austrian/Luxembourgian/Swiss Diabetes Prospective Follow-up (DPV) registry. Methods: Data of youth and young adults aged <= 25 years with T1D for >3 months, documented in the DPV registry between 2019 and 2022 were analyzed. The most recent available HbA1c and corresponding continuous glucose monitoring (CGM) profiles in the 12 preceding weeks with at least 80% completeness were included. Associations were investigated using correlation and adjusted regression models. Results: 1901 individuals (median age 14.0 years [IQR 10.4-16.9]) were included in the analysis. TIR and TTR correlated strongly, r = 0.965 (95% CI [0.962, 0.968]), P < .001. TTR estimates predicted from TIR were significantly higher in the group with high coefficient of variation (CV group >= 36%), P < .001. Correlations between TIR or TTR and HbA1c were both strong, r = -0.764 (95% CI [-0.782, -0.745]) and r = -0.777 (95% CI [-0.795, -0.759]), both P < .001, with no significant difference (P = .312) However, adjusted regression models indicated a slightly better fit for the prediction of HbA1c from TIR compared with TTR. Conclusions: Based on large, real-world data from a multinational registry, TIR and TTR correlated strongly, and both showed a good prediction of HbA1c. TTR estimates predicted from TIR were significantly higher in people with high glucose variability (CV).

引用

页数：8

共 30 条

[11] Lind M., Svensson A.M., Kosiborod M., Et al., Glycemic control and excess mortality in type 1 diabetes, N Engl J Med, 371, 21, pp. 1972-1982, (2014)
[12] Hermann J.M., Miller K.M., Hofer S.E., Et al., The transatlantic HbA1c gap: differences in glycaemic control across the lifespan between people included in the US T1D Exchange Registry and those included in the German/Austrian DPV registry, Diabet Med, 37, 5, pp. 848-855, (2020)
[13] Bassi M., Franzone D., Dufour F., Et al., Automated Insulin Delivery (AID) systems: use and efficacy in children and adults with type 1 diabetes and other forms of diabetes in Europe in early 2023, Life (Basel), 13, 3, (2023)
[14] Shah V.N., DuBose S.N., Li Z., Et al., Continuous glucose monitoring profiles in healthy nondiabetic participants: a multicenter prospective study, J Clin Endocrinol Metab, 104, 10, pp. 4356-4364, (2019)
[15] Vigersky R.A., McMahon C., The relationship of hemoglobin A1C to time-in-range in patients with diabetes, Diabetes Technol Ther, 21, 2, pp. 81-85, (2019)
[16] Beck R.W., Bergenstal R.M., Cheng P., Et al., The relationships between time in range, hyperglycemia metrics, and HbA1c, J Diabetes Sci Technol, 13, 4, pp. 614-626, (2019)
[17] Petersson J., Akesson K., Sundberg F., Sarnblad S., Translating glycated hemoglobin A1c into time spent in glucose target range: a multicenter study, Pediatr Diabetes, 20, 3, pp. 339-344, (2019)
[18] Vandenbempt M., Matheussen H., Charleer S., Rochtus A., Casteels K., The relationship between glycated hemoglobin and time in range in a pediatric population, Diabetes Technol Ther, 26, 5, pp. 346-350, (2024)
[19] Beck R.W., Raghinaru D., Calhoun P., Bergenstal R.M., A comparison of continuous glucose monitoring-measured time-in-range 70-180 mg/dL versus time-in-tight-range 70-140 mg/dL, Diabetes Technol Ther, 26, 3, pp. 151-155, (2024)
[20] Passanisi S., Piona C., Salzano G., Et al., Aiming for the best glycemic control beyond time in range: time in tight range as a new CGM metric in children and adolescents with type 1 diabetes using different treatment modalities, Diabetes Technol Ther, 26, 3, pp. 161-166, (2024)

← 1 2 3 →