Literature DB >> 27525364

Continuous glucose monitoring and HbA1c in the evaluation of glucose metabolism in children at high risk for type 1 diabetes mellitus.

Olli Helminen1, Tytti Pokka2, Päivi Tossavainen2, Jorma Ilonen3, Mikael Knip4, Riitta Veijola2.   

Abstract

AIMS: Continuous glucose monitoring (CGM) parameters, self-monitored blood glucose (SMBG), HbA1c and oral glucose tolerance test (OGTT) were studied during preclinical type 1 diabetes mellitus.
METHODS: Ten asymptomatic children with multiple (⩾2) islet autoantibodies (cases) and 10 age and sex-matched autoantibody-negative controls from the Type 1 Diabetes Prediction and Prevention (DIPP) Study were invited to 7-day CGM with Dexcom G4 Platinum Sensor. HbA1c and two daily SMBG values (morning and evening) were analyzed. Five-point OGTTs were performed and carbohydrate intake was assessed by food records. The matched pairs were compared with the paired sample t-test.
RESULTS: The cases showed higher mean values and higher variation in glucose levels during CGM compared to the controls. The time spent ⩾7.8mmol/l was 5.8% in the cases compared to 0.4% in the controls (p=0.040). Postprandial CGM values were similar except after the dinner (6.6mmol/l in cases vs. 6.1mmol/l in controls; p=0.023). When analyzing the SMBG values higher mean level, higher evening levels, as well as higher variation were observed in the cases when compared to the controls. HbA1c was significantly higher in the cases [5.7% (39mmol/mol) vs. 5.3% (34mmol/mol); p=0.045]. No differences were observed in glucose or C-peptide levels during OGTT. Daily carbohydrate intake was slightly higher in the cases (254.2g vs. 217.7g; p=0.034).
CONCLUSIONS: Glucose levels measured by CGM and SMBG are useful indicators of dysglycemia during preclinical type 1 diabetes mellitus. Increased evening glucose values seem to be common in children with preclinical type 1 diabetes mellitus.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Autoantibodies; Blood-glucose; Glucose intolerance; Prediabetes; Self-monitoring; Type 1 diabetes mellitus

Mesh:

Substances:

Year:  2016        PMID: 27525364     DOI: 10.1016/j.diabres.2016.07.027

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  10 in total

1.  Clinical Use of Continuous Glucose Monitoring in Pediatrics.

Authors:  Rayhan A Lal; David M Maahs
Journal:  Diabetes Technol Ther       Date:  2017-05       Impact factor: 6.118

2.  Continuous Glucose Monitoring Predicts Progression to Diabetes in Autoantibody Positive Children.

Authors:  Andrea K Steck; Fran Dong; Iman Taki; Michelle Hoffman; Kimber Simmons; Brigitte I Frohnert; Marian J Rewers
Journal:  J Clin Endocrinol Metab       Date:  2019-08-01       Impact factor: 5.958

Review 3.  Consortium-based approach to receiving an EMA qualification opinion on the use of islet autoantibodies as enrichment biomarkers in type 1 diabetes clinical studies.

Authors:  Stephen R Karpen; Jessica L Dunne; Brigitte I Frohnert; Marjana Marinac; Claudia Richard; Sarah E David; Inish M O'Doherty
Journal:  Diabetologia       Date:  2022-07-22       Impact factor: 10.460

4.  The Relationship Between Continuous Glucose Monitoring and OGTT in Youth and Young Adults With Cystic Fibrosis.

Authors:  Christine L Chan; Laura Pyle; Tim Vigers; Philip S Zeitler; Kristen J Nadeau
Journal:  J Clin Endocrinol Metab       Date:  2022-01-18       Impact factor: 6.134

5.  Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies.

Authors:  Mary Katherine Ray; Alana McMichael; Maria Rivera-Santana; Jacob Noel; Tamara Hershey
Journal:  JMIR Diabetes       Date:  2021-06-03

6.  First-emerging islet autoantibody and glucose metabolism: search for type 1 diabetes subtypes.

Authors:  Olli Helminen; Tytti Pokka; Susanna Aspholm; Jorma Ilonen; Olli G Simell; Mikael Knip; Riitta Veijola
Journal:  Endocr Connect       Date:  2022-08-17       Impact factor: 3.221

7.  Early glucose metabolism in children at risk for type 1 diabetes based on islet autoantibodies compared to low-risk control groups.

Authors:  Olli Helminen; Tytti Pokka; Susanna Aspholm; Jorma Ilonen; Olli Simell; Mikael Knip; Riitta Veijola
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-12       Impact factor: 6.055

8.  Type 2 Diabetes Management in Primary Care: The Role of Retrospective, Professional Continuous Glucose Monitoring.

Authors:  Maneesh Shrivastav; William Gibson; Rajendra Shrivastav; Katie Elzea; Cyrus Khambatta; Rohan Sonawane; Joseph A Sierra; Robert Vigersky
Journal:  Diabetes Spectr       Date:  2018-08

Review 9.  Perspectives of glycemic variability in diabetic neuropathy: a comprehensive review.

Authors:  Xiaochun Zhang; Xue Yang; Bao Sun; Chunsheng Zhu
Journal:  Commun Biol       Date:  2021-12-07

10.  Complete blood counts with red blood cell determinants associate with reduced beta-cell function in seroconverted Swedish TEDDY children.

Authors:  Falastin Salami; Roy N Tamura; Helena Elding Larsson; Åke Lernmark; Carina Törn
Journal:  Endocrinol Diabetes Metab       Date:  2021-05-03
  10 in total

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