Oscillatory pattern of glycemic control in patients with diabetes mellitus
| Autor: | Rodrigo Del Rio, Fernando Crespo, Robinson Ramírez-Vélez, Gonzalo Ruiz-Esquide, Manuel Vasquez-Muñoz, Alexis Arce-Alvarez, David C. Andrade, Mikel Izquierdo, Magdalena von Igel, Rodrigo Ramirez-Campillo, Cristian Álvarez, Carlos Veliz |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
Blood Glucose Male medicine.medical_specialty endocrine system diseases Science Population 030209 endocrinology & metabolism Disease Glycemic Control Hypoglycemia Models Biological Article 03 medical and health sciences 0302 clinical medicine Internal medicine Diabetes mellitus medicine Humans 030212 general & internal medicine Circadian rhythm education Glycemic Glycated Hemoglobin education.field_of_study Multidisciplinary business.industry nutritional and metabolic diseases Type 2 diabetes Anthropometry Middle Aged medicine.disease Circadian Rhythm Diabetes Mellitus Type 1 Type 1 diabetes Case-Control Studies Hyperglycemia Etiology Medicine Female business |
| Zdroj: | Scientific Reports Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) |
| ISSN: | 2045-2322 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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