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Flash glucose monitoring system in patients with type 1 diabetes in healthcare center in Brazil: real world data from a short-term prospective study
Matheus, Alessandra S. M.; Pascoal, Juliana Brazil Fontes; Cabizuca, Carolina Alves; Tannus, Lucianne Righeti Monteiro; Guimarães, Rafael Seno; Mattos, Diogo Menezes Ferrazani; Cobas, Roberta Arnoldi.
  • Matheus, Alessandra S. M.; Hospital Universitário do Estado do Rio de Janeiro. Unidade de Diabetes. Departamento de Clínica Médica. Rio de Janeiro. BR
  • Pascoal, Juliana Brazil Fontes; Hospital Universitário do Estado do Rio de Janeiro. Unidade de Diabetes. Departamento de Clínica Médica. Rio de Janeiro. BR
  • Cabizuca, Carolina Alves; Hospital Universitário do Estado do Rio de Janeiro. Unidade de Diabetes. Departamento de Clínica Médica. Rio de Janeiro. BR
  • Tannus, Lucianne Righeti Monteiro; Hospital Universitário do Estado do Rio de Janeiro. Unidade de Diabetes. Departamento de Clínica Médica. Rio de Janeiro. BR
  • Guimarães, Rafael Seno; Universidade do Estado do Rio de Janeiro. Ciências Médicas. Rio de Janeiro. BR
  • Mattos, Diogo Menezes Ferrazani; Universidade Federal Fluminense. Departamento de Engenharia de Telecomunicações. Programa de Pós-graduação em Engenharia Elétrica e de Telecomunicações. Niterói. BR
  • Cobas, Roberta Arnoldi; Hospital Universitário do Estado do Rio de Janeiro. Unidade de Diabetes. Departamento de Clínica Médica. Rio de Janeiro. BR
Arch. endocrinol. metab. (Online) ; 67(3): 289-297, June 2023. tab, graf
Article in English | LILACS-Express | LILACS | ID: biblio-1429747
ABSTRACT
ABSTRACT

Objectives:

To evaluate the alternate use of flash glucose monitoring (FGM) with self-monitoring blood glucose (SMBG), in patients with type 1 diabetes (T1D). Materials and

methods:

Two weeks of open FGM (P2), both preceded (P1) and followed by 2 weeks (P3) of SMBG with a blinded FGM system. Mean absolute relative difference (MARD) was calculated by (-FGMi − SMBGi-) / SMBGi, where it was a paired data sample.

Results:

In total, 34 patients were evaluated. Time in range (TIR) did not change between P1 and P2. In 12 patients (35.3%), TIR increased from 40% at P1 to 52% at P2 (p = 0.002) and in 22 (64.7%), TIR decreased or did not change. FGM use resulted in decreased % time spent in hypoglycemia (<70 mg/dL) (6.5% vs. 5.0%; p = 0.005), increased % time spent in hyperglycemia (>180 mg/dL) (44.5% to 51%; p = 0.046) with no significant change in % TIR. The proportion of patients who reached sensor-estimated glycated hemoglobin (eA1c) < 7% decreased from 23.5% at P1 to 12.9% at P2, p = 0.028. For the whole sample, the MARD between the two methods was 15.5% (95% CI 14.5-16.6%). For normal glucose range, hyperglycemic levels and hypoglycemic levels MARD were 16.0% (95% CI 15.0-17.0%), 13.3% (95% CI 11.5-15.2%) and 23.4% [95% CI 20.5-26.3%)], respectively.

Conclusion:

FGM after usual SMBG decreased the % time spent in hypoglycemia concomitant with an undesired increase in % time spent in hyperglycemia. Lower accuracy of FGM regarding hypoglycemia levels could result in overcorrection of hypoglycemia.


Full text: Available Index: LILACS (Americas) Type of study: Observational study Country/Region as subject: South America / Brazil Language: English Journal: Arch. endocrinol. metab. (Online) Journal subject: Endocrinology / Metabolism Year: 2023 Type: Article Affiliation country: Brazil Institution/Affiliation country: Hospital Universitário do Estado do Rio de Janeiro/BR / Universidade Federal Fluminense/BR / Universidade do Estado do Rio de Janeiro/BR

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Full text: Available Index: LILACS (Americas) Type of study: Observational study Country/Region as subject: South America / Brazil Language: English Journal: Arch. endocrinol. metab. (Online) Journal subject: Endocrinology / Metabolism Year: 2023 Type: Article Affiliation country: Brazil Institution/Affiliation country: Hospital Universitário do Estado do Rio de Janeiro/BR / Universidade Federal Fluminense/BR / Universidade do Estado do Rio de Janeiro/BR