Scans per day as predictors of optimal glycemic control in people with type 1 diabetes mellitus using flash glucose monitoring: what number of scans per day should raise a red flag?

Author:

Sebastian-Valles FernandoORCID,Martínez-Alfonso Julia,Arranz Martin Jose Alfonso,Jiménez-Díaz Jessica,Hernando Alday Iñigo,Navas-Moreno Victor,Armenta Joya Teresa,Fandiño García Maria del Mar,Román Gómez Gisela Liz,Lander Lobariñas Luis Eduardo,Martinez de Icaya Purificación,Sampedro-Nuñez Miguel Antonio,Martínez-Vizacaíno Vicente,Marazuela Mónica

Abstract

Abstract Aims This study aimed to determine the minimum frequency of flash glucose monitoring (FGM) scans necessary for optimal glycemic control in patients with type 1 diabetes (T1D). Methods Data were collected from 692 patients (47.5% female, with a median age of 47.4 years) who used FGM systems daily and recorded their clinical variables and device data. Results Logistic regression models showed that performing more than 12 scans per day was associated with improved T1D control (OR = 4.22, p < 0.001) and a reduction in HbA1c (7.6 vs 7.0%, 60–53 mmol/mol p < 0.001). However, those performing less than 6 scans showed no improvement in HbA1c (7.9 vs 7.8%, 63–61 mmol/mol p = 0.514). Thirteen daily scans were determined as the optimal cutoff point for predicting optimal glycemic control using a maximally selected rank algorithm. Significant reductions were observed in mean glucose (< 0.001), coefficient of variation (< 0.001), HbA1c (< 0.001), and an increase in TIR (< 0.001) in patients who performed more than 12 daily scans. Conclusions The results suggest that a higher frequency of daily scans by T1D patients using FGM systems leads to improved chronic glycemic control. The minimum recommended frequency for optimal control is 13 scans per day, and more than 6 daily scans are needed to improve HbA1c.

Funder

Universidad Autónoma de Madrid

Publisher

Springer Science and Business Media LLC

Subject

Endocrinology,General Medicine,Endocrinology, Diabetes and Metabolism,Internal Medicine

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