The Impact of Diabetes Education on Continuous Glucose Monitoring in SUS-Dependent Patients in a Northeastern Brazilian City

Author:

Borges Lysandro Pinto12,de Jesus Pamela Chaves2,de Souza Jessiane Bispo2,Silva Deise Maria Rego Rodrigues2ORCID,Moura Pedro Henrique Macedo2,Santos Ronaldy Santana2ORCID,Barreto Marina dos Santos2ORCID,Guimarães Adriana Gibara2,da Mota Santana Lucas Alves3,da Fonseca Dennyson Leandro Mathias4,Barreto Ikaro Daniel de Carvalho5,de Mello Silva Breno6,Oliveira Carla Raquel Pereira7,Rezende Karla Freire7,Melo Naira Horta7,Santos Elenalda Ferreira dos8,Queiroz Carmem Lúcia Matias de9,Xavier Lucia Helena Modesto10,Cabral-Marques Otávio1411121314,Silva Eloia Emanuelly Dias15

Affiliation:

1. Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-220, Brazil

2. Department of Pharmacy, Health and Biological Sciences Center, Federal University of Sergipe, São Cristóvão 49100-000, Brazil

3. Graduate Program in Dentistry, Health and Biological Sciences Center, Federal University of Sergipe, Aracaju 49060-102, Brazil

4. Interunits of Graduate Studies in Bioinformatics, Institute of Mathematics and Statistics (IME), University of São Paulo, São Paulo 05508-220, Brazil

5. Department of Statistics, Federal University of Pernambuco, Recife 50670-901, Brazil

6. Department of Biological Science, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil

7. Department of Medicine, Health and Biological Sciences Center, Federal University of Sergipe, Aracaju 49060-102, Brazil

8. Department of Nursing, Health and Biological Sciences Center, Federal University of Sergipe, Aracaju 49060-102, Brazil

9. Department of Nursing, University of Pernambuco, Recife 50100-010, Brazil

10. Association of Juvenile Diabetes Brazil (AJD), Água Branca 05003-010, Brazil

11. Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo (USP), São Paulo 05508-220, Brazil

12. Department of Medicine, Division of Molecular Medicine, Laboratory of Medical Investigation 29, University of São Paulo (USP) School of Medicine, São Paulo 05403-010, Brazil

13. Network of Immunity in Infection, Malignancy, and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), São Paulo 05508-000, Brazil

14. Instituto D’Or de Ensino e Pesquisa, São Paulo 01401-002, Brazil

15. Department of Biology, Federal University of Sergipe, São Cristóvão 49100-000, Brazil

Abstract

Background: Diabetes Mellitus (DM) is an important chronic disease that occurs worldwide. Aims: This study aims to investigate how the use of the FreeStyle® Libre system in Unified Health System (SUS) patients impacts diabetes parameters in patients who receive education on proper insulin administration and the use of the continuous monitoring device, as well as how this affects patients without any concomitant multidisciplinary support in Sergipe, Brazil. Methods: We conducted a prospective randomized study in a diabetes clinic in Sergipe, Brazil, using the flash method FreeStyle® Libre (Abbott). The participants were divided into two groups: one receiving diabetes education on CGM (continuous glucose monitoring), while the other did not. Before the intervention, the patient’s treatment motivation and quality of life were assessed using a questionnaire, and baseline levels of glycated hemoglobin were measured using high-performance liquid chromatography (HPLC) and the point of care AlereTM Afinion with boronate fixation. We compared first- and second-phase data with respect to glycated hemoglobin, mean interstitial blood glucose, time on and above target for hypoglycemic and hyperglycemic events, and mean hypoglycemic duration. Results: In group A, which received the diabetes education intervention, there was a significant reduction in average HbA1c levels from 8.6% to 7.9% after 3 months (p = 0.001). However, there was no significant difference in average glycemic values. Time above target decreased significantly from 50.62% to 29.43% (p = 0.0001), while time below target decreased from 22.90% to 20.21% (p = 0.002). There was no significant change in the number of hypoglycemic events, but the duration of hypoglycemia decreased significantly from 130.35 min to 121.18 min after 3 months (p = 0.0001). In Group B, there was no significant difference in mean HbA1c levels before (7.07%) and after (7.28%) sensor installation. This group maintained lower HbA1c levels compared to the other group. Average blood glucose levels also remained similar before (148.37 mg/dL) and after (154.65 mg/dL) the intervention. Although the time above the target glucose level increased significantly from 35.94% to 48.17%, the time at target decreased from 50.40% to 37.97%. No significant changes were observed in the time below target, the number of hypoglycemic events, or the duration of hypoglycemia. Conclusions: Our findings indicate that utilizing continuous glucose monitoring technology can enhance glycemic control, particularly in motivated, educated, low-income patients dependent on the SUS. To achieve positive results with FreeStyle Libre, it is imperative to allocate resources for multidisciplinary support.

Publisher

MDPI AG

Reference56 articles.

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2. (2023, June 01). Virtual Health Library, Available online: https://bvsms.saude.gov.br/26-6-dia-nacional-do-diabetes-4/.

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5. Prevalência de diabetes mellitus determinada pela hemoglobina glicada na população adulta brasileira;Malta;Rev. Bras. Epidemiol.,2019

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