Time in range–A1c hemoglobin relationship in continuous glucose monitoring of type 1 diabetes: a real-world study

التفاصيل البيبلوغرافية
العنوان: Time in range–A1c hemoglobin relationship in continuous glucose monitoring of type 1 diabetes: a real-world study
المؤلفون: Valenzano, Marina, Cibrario Bertolotti, Ivan, Valenzano, Adriano, Grassi, Giorgio
المصدر: BMJ Open Diabetes Research & Care, Vol 9, Iss 1 (2021)
BMJ open diabetes research and care 9 (2021): 1–8. doi:10.1136/bmjdrc-2019-001045
info:cnr-pdr/source/autori:M. Valenzano, I. Cibrario Bertolotti, A. Valenzano, G. Grassi/titolo:Time in range-A1c hemoglobin relationship in continuous glucose monitoring of type 1 diabetes: a real-world study/doi:10.1136%2Fbmjdrc-2019-001045/rivista:BMJ open diabetes research and care/anno:2021/pagina_da:1/pagina_a:8/intervallo_pagine:1–8/volume:9
BMJ Open Diabetes Research & Care
بيانات النشر: BMJ, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Adult, Blood Glucose, Research design, HbA1c, Endocrinology, Diabetes and Metabolism, media_common.quotation_subject, Diseases of the endocrine glands. Clinical endocrinology, Correlation, Homoscedasticity, Linear regression, Statistics, Humans, Hypoglycemic Agents, Medicine, hemoglobin A1c, Normality, Glycemic, media_common, Glycated Hemoglobin, Type 1 diabetes, business.industry, Blood Glucose Self-Monitoring, Emerging Technologies, Pharmacology and Therapeutics, RC648-665, medicine.disease, Regression, type 1, Diabetes Mellitus, Type 1, Time in range, Type 1 Diabetes, linear regression, continuous glucose monitoring, observational study, business
الوصف: IntroductionThe availability of easily accessible continuous glucose monitoring (CGM) metrics can improve glycemic control in diabetes, and they may even become a viable alternative to hemoglobin A1c (HbA1c) laboratory tests in the next years. The REALISM-T1D study (REAl-Life glucoSe Monitoring in Type 1 Diabetes) was aimed at contributing, with real-world data, to a deeper understanding of these metrics, including the time in range (TIR)–HbA1c relationship, to facilitate their adoption by diabetologists in everyday practice.Research design and methods70 adults affected by type 1 diabetes were monitored for 1 year by means of either flash (FGM) or real-time (rtCGM) glucose monitoring devices. Follow-up visits were performed after 90, 180 and 365 days from baseline and percentage TIR70–180 evaluated for the 90-day time period preceding each visit. HbA1c tests were also carried out in the same occasions and measured values paired with the corresponding TIR data.ResultsA monovariate linear regression analysis confirms a strong correlation between TIR and HbA1c as found in previous studies, but leveraging more homogeneous data (n=146) collected in real-life conditions. Differences were determined between FGM and rtCGM devices in Pearson’s correlation (rFGM=0.703, rrtCGM=0.739), slope (β1,FGM=−11.77, β1,rtCGM=−10.74) and intercept (β0,FGM=141.19, β0,rtCGM=140.77) coefficients. Normality of residuals and homoscedasticity were successfully verified in both cases.ConclusionsRegression lines for two patient groups monitored through FGM and rtCGM devices, respectively, while confirming a linear relationship between TIR and A1c hemoglobin (A1C) in good accordance with previous studies, also show a statistically significant difference in the regression intercept, thus suggesting the need for different models tailored to device characteristics. The predictive power of A1C as a TIR estimator also deserves further investigations.
تدمد: 2052-4897
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5fff7ce137bc260d94b5b7104a35622Test
https://doi.org/10.1136/bmjdrc-2019-001045Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....d5fff7ce137bc260d94b5b7104a35622
قاعدة البيانات: OpenAIRE