Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods
Joint Authors
Mráz, Miloš
Benes, Marek
Vargas, Borja
Cuesta-Frau, D.
Novák, Daniel
Burda, Vacláv
Abasolo, Daniel
Adjei, Tricia
Varela, Manuel
Kavalkova, Petra
Haluzík, Martin
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-14
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Diabetes is a disease of great and rising prevalence, with the obesity epidemic being a significant contributing risk factor.
Duodenal–jejunal bypass liner (DJBL) is a reversible implant that mimics the effects of more aggressive surgical procedures, such as gastric bypass, to induce weight loss.
We hypothesized that DJBL also influences the glucose dynamics in type II diabetes, based on the induced changes already demonstrated in other physiological characteristics and parameters.
In order to assess the validity of this assumption, we conducted a quantitative analysis based on several nonlinear algorithms (Lempel–Ziv Complexity, Sample Entropy, Permutation Entropy, and modified Permutation Entropy), well suited to the characterization of biomedical time series.
We applied them to glucose records drawn from two extreme cases available of DJBL implantation: before and after 10 months.
The results confirmed the hypothesis and an accuracy of 86.4% was achieved with modified Permutation Entropy.
Other metrics also yielded significant classification accuracy results, all above 70%, provided a suitable parameter configuration was chosen.
With the Leave–One–Out method, the results were very similar, between 72% and 82% classification accuracy.
There was also a decrease in entropy of glycaemia records during the time interval studied.
These findings provide a solid foundation to assess how glucose metabolism may be influenced by DJBL implantation and opens a new line of research in this field.
American Psychological Association (APA)
Cuesta-Frau, D.& Novák, Daniel& Burda, Vacláv& Abasolo, Daniel& Adjei, Tricia& Varela, Manuel…[et al.]. 2019. Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods. Complexity،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1132323
Modern Language Association (MLA)
Cuesta-Frau, D.…[et al.]. Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods. Complexity No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1132323
American Medical Association (AMA)
Cuesta-Frau, D.& Novák, Daniel& Burda, Vacláv& Abasolo, Daniel& Adjei, Tricia& Varela, Manuel…[et al.]. Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods. Complexity. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1132323
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132323