Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods
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...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/6070518 |
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| author | David Cuesta-Frau Daniel Novák Vacláv Burda Daniel Abasolo Tricia Adjei Manuel Varela Borja Vargas Milos Mraz Petra Kavalkova Marek Benes Martin Haluzik |
| author_facet | David Cuesta-Frau Daniel Novák Vacláv Burda Daniel Abasolo Tricia Adjei Manuel Varela Borja Vargas Milos Mraz Petra Kavalkova Marek Benes Martin Haluzik |
| author_sort | David Cuesta-Frau |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0d4e1b13c31d4eb697b075f1fedde8bf |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-0d4e1b13c31d4eb697b075f1fedde8bf2025-02-03T06:01:36ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/60705186070518Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear MethodsDavid Cuesta-Frau0Daniel Novák1Vacláv Burda2Daniel Abasolo3Tricia Adjei4Manuel Varela5Borja Vargas6Milos Mraz7Petra Kavalkova8Marek Benes9Martin Haluzik10Technological Institute of Informatics, Universitat Politecnica de Valencia, Alcoi Campus, Plaza Ferrandiz y Carbonell, 2, 03801 Alcoi, SpainDepartment of Cybernetics, Czech Technical University in Prague, Prague, Czech RepublicDepartment of Cybernetics, Czech Technical University in Prague, Prague, Czech RepublicCentre for Biomedical Engineering, Department of Mechanical Engineering Sciences, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UKDepartment of Electrical and Electronic Engineering, Imperial College, London, UKDepartment of Internal Medicine, Teaching Hospital of Mostoles, Madrid, SpainDepartment of Internal Medicine, Teaching Hospital of Mostoles, Madrid, SpainDepartment of Diabetes, Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech RepublicDepartment of Medical Biochemistry and Laboratory Diagnostics, General University Hospital, Charles University in Prague 1st Faculty of Medicine, Prague, Czech RepublicHepatogastroenterology Department, Transplant Centre, Institute for Clinical and Experimental Medicine, Prague, Czech RepublicDepartment of Diabetes, Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech RepublicDiabetes 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.http://dx.doi.org/10.1155/2019/6070518 |
| spellingShingle | David Cuesta-Frau Daniel Novák Vacláv Burda Daniel Abasolo Tricia Adjei Manuel Varela Borja Vargas Milos Mraz Petra Kavalkova Marek Benes Martin Haluzik Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods Complexity |
| title | Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods |
| title_full | Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods |
| title_fullStr | Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods |
| title_full_unstemmed | Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods |
| title_short | Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods |
| title_sort | influence of duodenal jejunal implantation on glucose dynamics a pilot study using different nonlinear methods |
| url | http://dx.doi.org/10.1155/2019/6070518 |
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