Glycemic control of patients with type 1 diabetes mellitus through the use of blood glucose meters and network parameters

Authors

  • Juan Encinas Muñoz Internal Student at the Faculty of Medicine. University of Valladolid, Spain. https://orcid.org/0009-0006-2432-7018
  • Jesús Poza Crespo Biomedical Engineering Group, University of Valladolid, Valladolid, Spain. Valladolid Institute for Biomedical Research (IBioVALL), Valladolid, Spain. Biomedical Research Network Center in Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), Spain. IMUVA, Institute for Research in Mathematics, University of Valladolid, Valladolid, Spain.
  • Carlos Gómez Peña Biomedical Engineering Group, University of Valladolid, Valladolid, Spain. Valladolid Institute for Biomedical Research (IBioVALL), Valladolid, Spain. Biomedical Research Network Center in Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), Spain.
  • Gonzalo Díaz Soto Physician. Endocrinology Department. Valladolid University Hospital, Spain

DOI:

https://doi.org/10.24197/cl.30.2025.4-15

Keywords:

glycemic control, C-peptide, partnership networks, glycemic variability

Abstract

Diabetes mellitus type 1 is a chronical disease that is characterized by an autoimmune destruction of pancreatic b cells. To avoid complications, diabetic patients need to have a good glycemic control. On this context, glycemic variability and pancreatic reserve are essential concepts. The former can be described with several parameters, but there is no gold standard. Thus, the variation coefficient is the one that is used in the clinic. The latter is characterized by C peptide, which is used as a biomarker. To correlate both concepts and envision the global control of a diabetic patient, a correlation analysis has been done using association networks. With this study, the main clusters of glycemic variability parameters have been established, as well as the strongest correlations between them and variables related to C peptide. Despite of the presence of several groups of parameters referred to the different aspects of glycemic variability, all variables share much information. Regarding the correlations with the C peptide, there are association values that are significant, but none of them has a high strength. In any case, association networks are presented as an essential tool to determine the glycemic control of a patient.

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Autora: Dra. Irene Martín de Prado

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Published

2025-10-23

Issue

No. 30 (2025): CLÍNICA

Section

Research and clinical practice

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Copyright (c) 2025 Juan Encinas Muñoz, Jesús Poza Crespo, Carlos Gómez Peña, Gonzalo Díaz Soto

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