Variation of Mean Absolute Relative Differences of Continuous Glucose Monitoring Systems Throughout the Day.
J Diabetes Sci Technol
; 16(3): 649-658, 2022 05.
Article
em En
| MEDLINE
| ID: mdl-33615834
ABSTRACT
BACKGROUND:
There is an increasing use of continuous glucose monitoring (CGM) by people with diabetes. Measurement performance is often characterized by the mean absolute relative difference (MARD). However, MARD is influenced by a number of factors and little is known about whether MARD is stable throughout the day. MATERIAL ANDMETHODS:
A total of 24 participants with type 1 diabetes were enrolled in the study. The study was performed for seven in-patient days. Participants wore two CGM systems in parallel and performed additional frequent blood glucose (BG) measurements. On two days, glucose excursions were induced.MARD was calculated between pairs of CGM and BG values, with BG values serving as reference values. ARD values calculated from CGM-BG pairs were grouped by hour of the day. Results were analyzed separately for glucose excursion days and for regular days.RESULTS:
Total MARDs for the complete study duration were 12.5% ± 3.6% and 13.2% ± 2.4% (n = 24). Throughout the day marked variability of MARD was observed (8.0% ± 1.3%-16.3% ± 2.9% (G5); 9.1% ± 1.4%-16.3% ± 5.3% (FL), up to n = 157 each). Low(est) MARD values were observed before breakfast and dinner, when subjects were in or near a fasting state. Especially after breakfast and lunch, MARD values were higher than average.CONCLUSIONS:
Analytical performance of the two CGM systems, assessed by MARD, was found to vary markedly throughout the day. Activities of daily life likely triggered these variations. An increasing number of CGM users base therapeutic decisions on CGM values, and they should be aware of these variations of performance throughout the day.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Automonitorização da Glicemia
/
Diabetes Mellitus Tipo 1
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
J Diabetes Sci Technol
Ano de publicação:
2022
Tipo de documento:
Article