How effective is the use of glycemic variability in the follow-up of type 1 diabetes under intensive care? (2020)
- Authors:
- Autor USP: BERNARDINO NETO, MORUN - EEL
- Unidade: EEL
- DOI: 10.15761/DU.1000141
- Subjects: DIABETES MELLITUS; GLICEMIA
- Keywords: Variabilidade Glicêmica; Diabete Melitus Tipo 1
- Agências de fomento:
- Language: Português
- Abstract: Background: Glycemic variability (GV) has been identified as an important tool in the monitoring of type 1 diabetes mellitus (T1D), due to its ability to identify patients at greater risk of severe hypoglycemia and to constitute an independent risk factor for chronic complications of this disease. This study aimed to evaluate the GV pattern between individuals with T1D under different types of intensive treatment and the correlations of this GV with different clinical and biochemical variables. Methods: Volunteers with T1D (n = 90) under different types of intensive treatment (NPH insulin, n=54; insulin glargine, n=19; and continuous subcutaneous insulin infusion (CSII) system, n=17) were analyzed in relation to glycemic control and GV. The glycated hemoglobin (HbA1c) and estimated average glucose (eAG) were used to estimate glycemic control. The daily average glucose (DAG) and its standard deviation (SDDAG) and coefficient of variability (CVDAG), as well the change in the levels of glycated hemoglobin (ΔHbA1c) were used to estimate GV. Results: Patients under CSII presented lower values of HbA1c, eAG, DAG, SDDAG and CVDAG than the other groups. DAG (median = 189 mg/dL and IQR = 157-232) and SDDAG (median = 89.8 mg/dL and IQR = 72-111) correlated positively with HbA1c, with correlations coefficients of 0.67 and 0.64, respectively. Conclusions: The glycemic variability in patients with type 1 diabetes, even under intensive treatment, has a great amplitude, and has direct correlations with the classic parameters of disease control. DAG and SDDAG can be used in the short term as predictors of the glycated hemoglobin levels in order to allow directions and earlier adaptations in clinical management.
- Imprenta:
- Source:
- Título: Diabetes Updates
- ISSN: 26315483
- Volume/Número/Paginação/Ano: v., n. , p.1-5, 2020
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
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ABNT
RODRIGUES, Ricardo et al. How effective is the use of glycemic variability in the follow-up of type 1 diabetes under intensive care?. Diabetes Updates, n. , p. 1-5, 2020Tradução . . Disponível em: https://doi.org/10.15761/DU.1000141. Acesso em: 08 out. 2024. -
APA
Rodrigues, R., MEDEIROS, L. U. C. I. A. N. A. A. L. V. E. S., Cunha, L. M., Garrote-Filho, M. da S., Bernardino Neto, M., Freita, M. A. R., et al. (2020). How effective is the use of glycemic variability in the follow-up of type 1 diabetes under intensive care? Diabetes Updates, ( ), 1-5. doi:10.15761/DU.1000141 -
NLM
Rodrigues R, MEDEIROS LUCIANAALVES, Cunha LM, Garrote-Filho M da S, Bernardino Neto M, Freita MAR, Jorge PT, Resende ES, Silva NP. How effective is the use of glycemic variability in the follow-up of type 1 diabetes under intensive care? [Internet]. Diabetes Updates. 2020 ;( ): 1-5.[citado 2024 out. 08 ] Available from: https://doi.org/10.15761/DU.1000141 -
Vancouver
Rodrigues R, MEDEIROS LUCIANAALVES, Cunha LM, Garrote-Filho M da S, Bernardino Neto M, Freita MAR, Jorge PT, Resende ES, Silva NP. How effective is the use of glycemic variability in the follow-up of type 1 diabetes under intensive care? [Internet]. Diabetes Updates. 2020 ;( ): 1-5.[citado 2024 out. 08 ] Available from: https://doi.org/10.15761/DU.1000141 - Saúde Mental, Uso de Álcool e Qualidade do Sono em Estudantes de uma Universidade Pública
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Informações sobre o DOI: 10.15761/DU.1000141 (Fonte: oaDOI API)
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