Oscillatory pattern of glycemic control in patients with diabetes mellitus

Abstract Daily glucose variability is higher in diabetic mellitus (DM) patients which has been related to the severity of the disease. However, it is unclear whether glycemic variability displays a specific pattern oscillation or if it is completely random. Thus, to determine glycemic variability pa...

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Autores principales:	Manuel Vasquez-Muñoz, Alexis Arce-Alvarez, Magdalena von Igel, Carlos Veliz, Gonzalo Ruiz-Esquide, Rodrigo Ramirez-Campillo, Cristian Alvarez, Robinson Ramirez-Velez, Fernando A. Crespo, Mikel Izquierdo, Rodrigo Del Rio, David C. Andrade
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/99892fb1d8f64c18bb587c7ba9deeec3
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spelling	oai:doaj.org-article:99892fb1d8f64c18bb587c7ba9deeec32021-12-02T13:20:13ZOscillatory pattern of glycemic control in patients with diabetes mellitus10.1038/s41598-021-84822-52045-2322https://doaj.org/article/99892fb1d8f64c18bb587c7ba9deeec32021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84822-5https://doaj.org/toc/2045-2322Abstract Daily glucose variability is higher in diabetic mellitus (DM) patients which has been related to the severity of the disease. However, it is unclear whether glycemic variability displays a specific pattern oscillation or if it is completely random. Thus, to determine glycemic variability pattern, we measured and analyzed continuous glucose monitoring (CGM) data, in control subjects and patients with DM type-1 (T1D). CGM data was assessed for 6 days (day: 08:00–20:00-h; and night: 20:00–08:00-h). Participants (n = 172; age = 18–80 years) were assigned to T1D (n = 144, females = 65) and Control (i.e., healthy; n = 28, females = 22) groups. Anthropometry, pharmacologic treatments, glycosylated hemoglobin (HbA1c) and years of evolution were determined. T1D females displayed a higher glycemia at 10:00–14:00-h vs. T1D males and Control females. DM patients displays mainly stationary oscillations (deterministic), with circadian rhythm characteristics. The glycemia oscillated between 2 and 6 days. The predictive model of glycemia showed that it is possible to predict hyper and hypoglycemia (R2 = 0.94 and 0.98, respectively) in DM patients independent of their etiology. Our data showed that glycemic variability had a specific oscillation pattern with circadian characteristics, with episodes of hypoglycemia and hyperglycemia at day phases, which could help therapeutic action for this population.Manuel Vasquez-MuñozAlexis Arce-AlvarezMagdalena von IgelCarlos VelizGonzalo Ruiz-EsquideRodrigo Ramirez-CampilloCristian AlvarezRobinson Ramirez-VelezFernando A. CrespoMikel IzquierdoRodrigo Del RioDavid C. AndradeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Manuel Vasquez-Muñoz Alexis Arce-Alvarez Magdalena von Igel Carlos Veliz Gonzalo Ruiz-Esquide Rodrigo Ramirez-Campillo Cristian Alvarez Robinson Ramirez-Velez Fernando A. Crespo Mikel Izquierdo Rodrigo Del Rio David C. Andrade Oscillatory pattern of glycemic control in patients with diabetes mellitus
description	Abstract Daily glucose variability is higher in diabetic mellitus (DM) patients which has been related to the severity of the disease. However, it is unclear whether glycemic variability displays a specific pattern oscillation or if it is completely random. Thus, to determine glycemic variability pattern, we measured and analyzed continuous glucose monitoring (CGM) data, in control subjects and patients with DM type-1 (T1D). CGM data was assessed for 6 days (day: 08:00–20:00-h; and night: 20:00–08:00-h). Participants (n = 172; age = 18–80 years) were assigned to T1D (n = 144, females = 65) and Control (i.e., healthy; n = 28, females = 22) groups. Anthropometry, pharmacologic treatments, glycosylated hemoglobin (HbA1c) and years of evolution were determined. T1D females displayed a higher glycemia at 10:00–14:00-h vs. T1D males and Control females. DM patients displays mainly stationary oscillations (deterministic), with circadian rhythm characteristics. The glycemia oscillated between 2 and 6 days. The predictive model of glycemia showed that it is possible to predict hyper and hypoglycemia (R2 = 0.94 and 0.98, respectively) in DM patients independent of their etiology. Our data showed that glycemic variability had a specific oscillation pattern with circadian characteristics, with episodes of hypoglycemia and hyperglycemia at day phases, which could help therapeutic action for this population.
format	article
author	Manuel Vasquez-Muñoz Alexis Arce-Alvarez Magdalena von Igel Carlos Veliz Gonzalo Ruiz-Esquide Rodrigo Ramirez-Campillo Cristian Alvarez Robinson Ramirez-Velez Fernando A. Crespo Mikel Izquierdo Rodrigo Del Rio David C. Andrade
author_facet	Manuel Vasquez-Muñoz Alexis Arce-Alvarez Magdalena von Igel Carlos Veliz Gonzalo Ruiz-Esquide Rodrigo Ramirez-Campillo Cristian Alvarez Robinson Ramirez-Velez Fernando A. Crespo Mikel Izquierdo Rodrigo Del Rio David C. Andrade
author_sort	Manuel Vasquez-Muñoz
title	Oscillatory pattern of glycemic control in patients with diabetes mellitus
title_short	Oscillatory pattern of glycemic control in patients with diabetes mellitus
title_full	Oscillatory pattern of glycemic control in patients with diabetes mellitus
title_fullStr	Oscillatory pattern of glycemic control in patients with diabetes mellitus
title_full_unstemmed	Oscillatory pattern of glycemic control in patients with diabetes mellitus
title_sort	oscillatory pattern of glycemic control in patients with diabetes mellitus
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/99892fb1d8f64c18bb587c7ba9deeec3
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Oscillatory pattern of glycemic control in patients with diabetes mellitus

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