Literature DB >> 30652407

Translating glycated hemoglobin A1c into time spent in glucose target range: A multicenter study.

Jonathan Petersson1, Karin Åkesson2,3, Frida Sundberg4,5, Stefan Särnblad1,6.   

Abstract

BACKGROUND: Approximately 90% of children and adolescents with type 1 diabetes in Sweden use continuous glucose monitoring (CGM), either as real-time CGM or intermittently scanned CGM to monitor their glucose levels. Time in target range (TIT) is an easily understandable metric for assessing glycemic control.
OBJECTIVE: The aim of this study was to examine the relation between TIT and hemoglobin A1c (HbA1c). SUBJECTS AND METHODS: Subjects were recruited from three diabetes care centers in Sweden. Glucose data were collected for 133 children and adolescents with type 1 diabetes through CGM using Diasend. Subjects with registration time over 80% were included in the analysis. HbA1c was collected from SWEDIABKIDS, the Swedish pediatric diabetes quality registry. TIT was defined as 3.9 to 7.8 mmol/L (70-140 mg/dL) and time in range (TIR) as 3.9 to 10 mmol/L (70-180 mg/dL).
RESULTS: During the period of 60 days, 105 subjects provided complete data for analysis. Mean age was 12.2 (±3.3) years, mean HbA1c was 53.9 (±8.2) mmol/mol or 7.1% (±0.7%). Mean sensor glucose value was 8.6 (±1.3) mmol/L, mean coefficient of variation was 42.2% (±7.2%), mean TIT was 40.9% (±SD 12.2%), and mean TIR was 60.8% (±13.1%). There was a significant nonlinear relation between TIT during 60 days and HbA1c, R2 = 0.69.
CONCLUSION: This study suggests a nonlinear relation between time spent in glucose target range and HbA1c. The finding implies that time spent in TIT could be a useful metric in addition to HbA1c to assess glycemic control.
© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  HbA1c; children; continuous glucose monitoring; time in target range; type 1 diabetes

Mesh:

Substances:

Year:  2019        PMID: 30652407     DOI: 10.1111/pedi.12817

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  12 in total

Review 1.  Positioning time in range in diabetes management.

Authors:  Andrew Advani
Journal:  Diabetologia       Date:  2019-11-07       Impact factor: 10.122

2.  Glycemic Metrics Derived From Intermittently Scanned Continuous Glucose Monitoring.

Authors:  Klavs Würgler Hansen; Bo Martin Bibby
Journal:  J Diabetes Sci Technol       Date:  2020-12-03

3.  Patient-Generated Health Data Integration and Advanced Analytics for Diabetes Management: The AID-GM Platform.

Authors:  Elisa Salvi; Pietro Bosoni; Valentina Tibollo; Lisanne Kruijver; Valeria Calcaterra; Lucia Sacchi; Riccardo Bellazzi; Cristiana Larizza
Journal:  Sensors (Basel)       Date:  2019-12-24       Impact factor: 3.576

4.  Associations between HbA1c and continuous glucose monitoring-derived glycaemic variables.

Authors:  I B Hirsch; J B Welsh; P Calhoun; S Puhr; T C Walker; D A Price
Journal:  Diabet Med       Date:  2019-07-17       Impact factor: 4.359

5.  Time in range-A1c hemoglobin relationship in continuous glucose monitoring of type 1 diabetes: a real-world study.

Authors:  Marina Valenzano; Ivan Cibrario Bertolotti; Adriano Valenzano; Giorgio Grassi
Journal:  BMJ Open Diabetes Res Care       Date:  2021-01

Review 6.  Individualizing Time-in-Range Goals in Management of Diabetes Mellitus and Role of Insulin: Clinical Insights From a Multinational Panel.

Authors:  Sanjay Kalra; Shehla Shaikh; Gagan Priya; Manas P Baruah; Abhyudaya Verma; Ashok K Das; Mona Shah; Sambit Das; Deepak Khandelwal; Debmalya Sanyal; Sujoy Ghosh; Banshi Saboo; Ganapathi Bantwal; Usha Ayyagari; Daphne Gardner; Cecilia Jimeno; Nancy E Barbary; Khadijah A Hafidh; Jyoti Bhattarai; Tania T Minulj; Hendra Zufry; Uditha Bulugahapitiya; Moosa Murad; Alexander Tan; Selim Shahjada; Mijinyawa B Bello; Prasad Katulanda; Gracjan Podgorski; Wajeeha I AbuHelaiqa; Rima Tan; Ali Latheef; Sedeshan Govender; Samir H Assaad-Khalil; Cecilia Kootin-Sanwu; Ansumali Joshi; Faruque Pathan; Diana A Nkansah
Journal:  Diabetes Ther       Date:  2020-12-26       Impact factor: 2.945

7.  Relationship of continuous glucose monitoring-related metrics with HbA1c and residual β-cell function in Japanese patients with type 1 diabetes.

Authors:  Naru Babaya; Shinsuke Noso; Yoshihisa Hiromine; Yasunori Taketomo; Fumimaru Niwano; Sawa Yoshida; Sara Yasutake; Yumiko Kawabata; Hiroshi Ikegami
Journal:  Sci Rep       Date:  2021-02-17       Impact factor: 4.379

8.  Beyond A1C: A Practical Approach to Interpreting and Optimizing Continuous Glucose Data in Youth.

Authors:  Iman Al-Gadi; Sruthi Menon; Sarah K Lyons; Daniel J DeSalvo
Journal:  Diabetes Spectr       Date:  2021-05-25

9.  Time spent outside of target glucose range for young children with type 1 diabetes: a continuous glucose monitor study.

Authors:  L A DiMeglio; L G Kanapka; D J DeSalvo; B J Anderson; K R Harrington; M E Hilliard; L M Laffel; W V Tamborlane; M A Van Name; R P Wadwa; S M Willi; S Woerner; J C Wong; K M Miller
Journal:  Diabet Med       Date:  2020-03-17       Impact factor: 4.213

Review 10.  Time in range: a new parameter to evaluate blood glucose control in patients with diabetes.

Authors:  Monica Andrade Lima Gabbay; Melanie Rodacki; Luis Eduardo Calliari; Andre Gustavo Daher Vianna; Marcio Krakauer; Mauro Scharf Pinto; Janice Sepúlveda Reis; Marcia Puñales; Leonardo Garcia Miranda; Ana Claudia Ramalho; Denise Reis Franco; Hermelinda Pedrosa Cordeiro Pedrosa
Journal:  Diabetol Metab Syndr       Date:  2020-03-16       Impact factor: 3.320

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