IDEAS home Printed from https://ideas.repec.org/a/hin/complx/6070518.html
   My bibliography  Save this article

Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods

Author

Listed:
  • David Cuesta-Frau
  • Daniel Novák
  • Vacláv Burda
  • Daniel Abasolo
  • Tricia Adjei
  • Manuel Varela
  • Borja Vargas
  • Milos Mraz
  • Petra Kavalkova
  • Marek Benes
  • Martin Haluzik

Abstract

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.

Suggested Citation

  • David Cuesta-Frau & Daniel Novák & Vacláv Burda & Daniel Abasolo & Tricia Adjei & Manuel Varela & Borja Vargas & Milos Mraz & Petra Kavalkova & Marek Benes & Martin Haluzik, 2019. "Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods," Complexity, Hindawi, vol. 2019, pages 1-10, February.
    • Handle: RePEc:hin:complx:6070518
    DOI: 10.1155/2019/6070518
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2019/6070518.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2019/6070518.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2019/6070518?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Katya L Masconi & Tandi E Matsha & Rajiv T Erasmus & Andre P Kengne, 2015. "Effects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South Africa," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-12, September.
    2. Till Seuring & Olga Archangelidi & Marc Suhrcke, 2015. "The Economic Costs of Type 2 Diabetes: A Global Systematic Review," PharmacoEconomics, Springer, vol. 33(8), pages 811-831, August.
    3. Restrepo, Juan F. & Schlotthauer, Gastón & Torres, María E., 2014. "Maximum approximate entropy and r threshold: A new approach for regularity changes detection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 409(C), pages 97-109.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Frank Ranganai Matenda & Mabutho Sibanda, 2022. "Determinants of Default Probability for Audited and Unaudited SMEs under Stressed Conditions in Zimbabwe," Economies, MDPI, vol. 10(11), pages 1-28, November.
    2. Gourzoulidis, George & Kourlaba, Georgia & Stafylas, Panagiotis & Giamouzis, Gregory & Parissis, John & Maniadakis, Nikolaos, 2017. "Association between copayment, medication adherence and outcomes in the management of patients with diabetes and heart failure," Health Policy, Elsevier, vol. 121(4), pages 363-377.
    3. Seuring, Till & Serneels, Pieter & Suhrcke, Marc, 2019. "The impact of diabetes on labour market outcomes in Mexico: A panel data and biomarker analysis," Social Science & Medicine, Elsevier, vol. 233(C), pages 252-261.
    4. Ling Jie Cheng & Wenru Wang & Suan Tee Lim & Vivien Xi Wu, 2019. "Factors associated with glycaemic control in patients with diabetes mellitus: A systematic literature review," Journal of Clinical Nursing, John Wiley & Sons, vol. 28(9-10), pages 1433-1450, May.
    5. Gabriela Maria Reis Goncalves & Everton Nunes da Silva, 2018. "Cost of chronic kidney disease attributable to diabetes from the perspective of the Brazilian Unified Health System," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
    6. Dixon, Padraig & Harrison, Sean & Hollingworth, William & Davies, Neil M. & Davey Smith, George, 2022. "Estimating the causal effect of liability to disease on healthcare costs using Mendelian Randomization," Economics & Human Biology, Elsevier, vol. 46(C).
    7. Claudiu Morgovan & Smaranda Adina Cosma & Madalina Valeanu & Anca Maria Juncan & Luca Liviu Rus & Felicia Gabriela Gligor & Anca Butuca & Delia Mirela Tit & Simona Bungau & Steliana Ghibu, 2020. "An Exploratory Research of 18 Years on the Economic Burden of Diabetes for the Romanian National Health Insurance System," IJERPH, MDPI, vol. 17(12), pages 1-16, June.
    8. Grégoire Lagasnerie & Anne-Sophie Aguadé & Pierre Denis & Anne Fagot-Campagna & Christelle Gastaldi-Menager, 2018. "The economic burden of diabetes to French national health insurance: a new cost-of-illness method based on a combined medicalized and incremental approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(2), pages 189-201, March.
    9. Stuart Keel & Joshua Foreman & Jing Xie & Peter van Wijngaarden & Hugh R Taylor & Mohamed Dirani, 2017. "The Prevalence of Self-Reported Diabetes in the Australian National Eye Health Survey," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-10, January.
    10. Karen Jordan & Christopher G. Fawsitt & Paul G. Carty & Barbara Clyne & Conor Teljeur & Patricia Harrington & Mairin Ryan, 2023. "Cost-effectiveness of metabolic surgery for the treatment of type 2 diabetes and obesity: a systematic review of economic evaluations," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(4), pages 575-590, June.
    11. Sun, Fei & Zhang, Qi, 2023. "Robust transfer learning of high-dimensional generalized linear model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    12. Isabelle Chort & Olivier Dagnelie, 2022. "Worms or sugar? Mass deworming treatment doubles the probability to suffer from diabetes ten to fifteen years later," Working Papers hal-03887621, HAL.
    13. Seuring, Till & Serneels, Pieter & Suhrcke, Marc & Bachmann, Max, 2020. "Diabetes, employment and behavioural risk factors in China: Marginal structural models versus fixed effects models," Economics & Human Biology, Elsevier, vol. 39(C).
    14. Désirée Vandenberghe, 2022. "Simulating lifestyle and medical interventions to prevent type-2 diabetes: an economic evaluation for Belgium," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 237-248, March.
    15. Silvia Nanjala Walekhwa Hertzberg & Øystein K. Jørstad & Beáta Éva Petrovski & Ragnheidur Bragadottir & Leif Arthur Steffensen & Morten Carstens Moe & Emily A. Burger & Goran Petrovski, 2022. "Transition from Laser to Intravitreal Injections for Diabetic Retinopathy: Hospital Utilization and Costs from an Extended Healthcare Perspective," IJERPH, MDPI, vol. 19(19), pages 1-16, October.
    16. Yuji Sase & Daiki Kumagai & Teppei Suzuki & Hiroko Yamashina & Yuji Tani & Kensuke Fujiwara & Takumi Tanikawa & Hisashi Enomoto & Takeshi Aoyama & Wataru Nagai & Katsuhiko Ogasawara, 2020. "Characteristics of Type-2 Diabetics Who are Prone to High-Cost Medical Care Expenses by Bayesian Network," IJERPH, MDPI, vol. 17(15), pages 1-10, July.
    17. Clara Bermudez-Tamayo & Stéphane Besançon & Mira Johri & Sidibe Assa & Jonathan Betz Brown & Kaushik Ramaiya, 2017. "Direct and indirect costs of diabetes mellitus in Mali: A case-control study," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
    18. Haruhisa Fukuda & Shunya Ikeda & Takeru Shiroiwa & Takashi Fukuda, 2016. "The Effects of Diagnostic Definitions in Claims Data on Healthcare Cost Estimates: Evidence from a Large-Scale Panel Data Analysis of Diabetes Care in Japan," PharmacoEconomics, Springer, vol. 34(10), pages 1005-1014, October.
    19. Elina Jussila & Kaisa Kotakorpi & Jouko Verho, 2022. "Prescription Behavior of Physicians in the Public and Private Sector," CESifo Working Paper Series 10186, CESifo.
    20. Rättö, Hanna & Kurko, Terhi & Martikainen, Jaana E. & Aaltonen, Katri, 2021. "The impact of a co-payment increase on the consumption of type 2 antidiabetics – A nationwide interrupted time series analysis," Health Policy, Elsevier, vol. 125(9), pages 1166-1172.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:6070518. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.