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Beyond HbA1c: Identifying Gaps in Glycemic Control Among Children and Young People with Type 1 Diabetes Using Continuous Glucose Monitoring

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Indian Journal of Pediatrics Aims and scope Submit manuscript

Abstract

Objectives

To describe continuous glucose monitoring (CGM) derived glycemic variables, and study their association with HbA1c and socio-economic factors in young people with Type 1 diabetes mellitus (T1DM).

Methods

Ninety-two participants [age 15.7 ± 5.0 y (mean ± SD), HbA1c 8.0 ± 1.5% (mean ± SD)] wore a professional CGM sensor for 14 d.

Results

Median (IQR) time in range (TIR) was 41 (18)%. Participants spent 41 ± 20% of their day in hyperglycemia (>180 mg/dl), and 14 (13)% in hypoglycemia (<70 mg/dl). High glycemic variability (percent CV >36%) was seen in 92% participants. Older age at diagnosis was associated with higher TIR (β = 0.267, p = 0.01), lower time above range (TAR) (β = -0.352, p <0.001), but higher time below range (TBR) (β = 0.274, p = 0.006). The use of NPH vs. glargine basal insulin was associated with higher TBR (β = -0.262, p = 0.009) but lower TAR (β = 0.202, p = 0.041). HbA1c showed negative correlation with TIR (= -0.449, p <0.001) and TBR (= -0.466, p <0.001) and positive correlation with TAR (r = 0.580, p <0.001) and mean glucose (r = 0.589, p <0.001).

Conclusions

These data demonstrate wide gaps between the recommended vs. real world glycemic variables in patients with T1DM in this region on multiple daily insulin injections. CGM identifies glycemic variability and complements HbA1c in improving glycemic control.

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References

  1. Diabetes Control and Complications Trial Research Group; Nathan DM, Genuth S, Lachin J, et al. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. New Engl J Med. 1993;329:977–86.

    Article  Google Scholar 

  2. Nevo-Shenker M, Shalitin S. The impact of hypo- and hyperglycemia on cognition and brain development in young children with type 1 diabetes. Horm Res Paediatr. 2021;94:115–23.

    Article  CAS  PubMed  Google Scholar 

  3. Battelino T, Danne T, Bergenstal RM, et al. Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range. Diabetes Care. 2019;42:1593–603.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Battelino T, Alexander CM, Amiel SA, et al. Continuous glucose monitoring and metrics for clinical trials: an international consensus statement. Lancet Diabetes Endocrinol. 2023;11:42–57.

    Article  CAS  PubMed  Google Scholar 

  5. Tandon A, Bhowmik E, Ali Z, et al. Basic carbohydrate counting and glycemia in young people with type 1 diabetes in India: a randomized controlled trial. Nutrition. 2024;119:112318.

    Article  CAS  PubMed  Google Scholar 

  6. Wani R. Socioeconomic status scales-modified Kuppuswamy and Udai Pareekh’s scale updated for 2019. J Family Med Prim Care. 2019;8:1846.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Biester T, Grimsmann JM, Heidtmann B, et al. Intermittently scanned glucose values for continuous monitoring: cross-sectional analysis of glycemic control and hypoglycemia in 1809 children and adolescents with type 1 diabetes. Diabetes Technol Ther. 2021;23:160–7.

    Article  CAS  PubMed  Google Scholar 

  8. Cherubini V, Bonfanti R, Casertano A, et al. Time in range in children with type 1 diabetes using treatment strategies based on nonautomated insulin delivery systems in the real world. Diabetes Technol Ther. 2020;22:509–15.

    Article  CAS  PubMed  Google Scholar 

  9. Campbell FM, Murphy NP, Stewart C, Biester T, Kordonouri O. Outcomes of using flash glucose monitoring technology by children and young people with type 1 diabetes in a single arm study. Pediatr Diabetes. 2018;19:1294–301.

    Article  CAS  PubMed  Google Scholar 

  10. Laffel LM, Kanapka LG, Beck RW, et al. Effect of continuous glucose monitoring on glycemic control in adolescents and young adults with type 1 diabetes. JAMA. 2020;323:2388.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Karges B, Schwandt A, Heidtmann B, et al. Association of insulin pump therapy vs insulin injection therapy with severe hypoglycemia, ketoacidosis, and glycemic control among children, adolescents, and young adults with type 1 diabetes. JAMA. 2017;318:1358.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Elhabashy SA, Sakr EM, Salah NY. The efficacy of insulin degludec and insulin glargine over NPH insulin among toddlers and preschoolers with type 1 diabetes using glycemic variability and time in range. Eur J Pediatr. 2023;182:1857–68.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Danne T, Philotheou A, Goldman D, et al. A randomized trial comparing the rate of hypoglycemia-assessed using continuous glucose monitoring-in 125 preschool children with type 1 diabetes treated with insulin glargine or NPH insulin (the PRESCHOOL study). Pediatr Diabetes. 2013;14:593–601.

    Article  CAS  PubMed  Google Scholar 

  14. Valenzano M, Cibrario Bertolotti I, Valenzano A, Grassi G. Time in range–A1c hemoglobin relationship in continuous glucose monitoring of type 1 diabetes: a real-world study. BMJ Open Diabetes Res Care. 2021;9:e001045.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Helleputte S, De Backer T, Calders P, Pauwels B, Shadid S, Lapauw B. The added and interpretative value of CGM-derived parameters in type 1 diabetes depends on the level of glycemic control. Endocr Pract. 2021;27:44–50.

    Article  PubMed  Google Scholar 

  16. Babaya N, Noso S, Hiromine Y, et al. Relationship of continuous glucose monitoring-related metrics with HbA1c and residual β-cell function in Japanese patients with type 1 diabetes. Sci Rep. 2021;11:4006.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Vigersky RA, McMahon C. The relationship of hemoglobin A1c to time-in-range in patients with diabetes. Diabetes Technol Ther. 2019;21:81–5.

    Article  CAS  PubMed  Google Scholar 

  18. Marsters BL, Boucher SE, Galland BC, et al. Cutaneous adverse events in a randomized controlled trial of flash glucose monitoring among youth with type 1 diabetes mellitus. Pediatr Diabetes. 2020;21:1516–24.

    Article  CAS  PubMed  Google Scholar 

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Funding

This work was supported by a grant from the Endocrine Society of India (ESI Trainee Grant 2020).

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Authors

Contributions

AT: Conceptualization, methodology, formal analysis, investigation, resources, data curation, writing- original draft, review & editing and funding acquisition; EB: Investigation, resources and data curation; ZA: Methodology, formal analysis, investigation and data curation; ST: Formal analysis, investigation and data curation; ABK: Formal analysis; PD, SS: Conceptualization, methodology, investigation and resources; VB: Conceptualization, methodology, formal analysis, investigation, resources, data curation, writing- original draft, review & editing, supervision, project administration and funding acquisition. VB will act as guarantor for this manuscript.

Corresponding author

Correspondence to Vijayalakshmi Bhatia.

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Informed written consent was taken from all adult patients or consent from the parents and assent from the child if below 18 y was taken.

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Tandon, A., Bhowmik, E., Ali, Z. et al. Beyond HbA1c: Identifying Gaps in Glycemic Control Among Children and Young People with Type 1 Diabetes Using Continuous Glucose Monitoring. Indian J Pediatr (2024). https://doi.org/10.1007/s12098-024-05112-2

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