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Analyzing complexity and fractality of glucose dynamics in a pregnant woman with type 2 diabetes under treatment
Chen X.1; Wang D.2; Lin J.1; Zhang T.2; Deng S.1; Huang L.1; Jin Y.2; Chen C.2; Zhang Z.3; Zheng J.2; Sun B.4; Bogdan P.5; Zhang X.D.2
2019
Source PublicationInternational Journal of Biological Sciences
ISSN1449-2288
Volume15Issue:11Pages:2373-2380
Abstract

Currently, the rapid development of continuous glucose monitoring (CGM) device brings new insights into the treatment of diabetic patients including those during pregnancy. Complexity and fractality have recently under fast development for extracting information embodied in glucose dynamics measured using CGM. Although scientists have investigated the difference of complexity in glucose dynamics between diabetes and non-diabetes in order to discover better approaches for diabetes care, no one has analyzed the complexity and fractality of glucose dynamics during the process of adopting CGM to successfully treat pregnant women with type 2 diabetes. Thus, we analyzed the complexity and fractality using power spectral density (PSD), multi-scale sample entropy (MSE) and multifractal detrended fluctuation analysis (MF-DFA) in a clinical case. Our results show that (i) there exists multifractal behavior in blood glucose dynamics; (ii) the alpha stable distribution fits to the glucose increment data better than the Gaussian distribution; and (iii) the “global” complexity indicated by multiscale entropy, spectrum exponent and Hurst exponent increase and the “local” complexity indicated by multifractal spectrum decrease after the successful therapy. Our results offer findings that may bring value to health care providers for managing glucose levels of pregnant women with type 2 diabetes as well as provide scientists a reference on applying complexity and fractality in the clinical practice of treating diabetes.

KeywordComplexity Analysis Continuous Glucose Monitoring Fractal Analysis Multiscale Sample Entropy Type 2 Diabetes With Pregnancy
DOI10.7150/ijbs.33825
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaBiochemistry & Molecular Biology ; Life Sciences & Biomedicine - Other Topics
WOS SubjectBiochemistry & Molecular Biology ; Biology
WOS IDWOS:000485655300009
The Source to ArticleScopus
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Document TypeJournal article
CollectionFaculty of Health Sciences
Faculty of Arts and Humanities
Corresponding AuthorZhang X.D.
Affiliation1.Department of Endocrinology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, China;
2.Faculty of Health Sciences, University of Macau, Taipa, 999078, Macau;
3.Department of Statistical Science, Duke University, Durham, NC 27708, United States;
4.Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Diseases, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, China;
5.Department of Electrical Engineering – Systems, University of Southern CaliforniaCA 90089, United States
Corresponding Author AffilicationFaculty of Health Sciences
Recommended Citation
GB/T 7714
Chen X.,Wang D.,Lin J.,et al. Analyzing complexity and fractality of glucose dynamics in a pregnant woman with type 2 diabetes under treatment[J]. International Journal of Biological Sciences,2019,15(11):2373-2380.
APA Chen X.,Wang D.,Lin J.,Zhang T.,Deng S.,Huang L.,Jin Y.,Chen C.,Zhang Z.,Zheng J.,Sun B.,Bogdan P.,&Zhang X.D..(2019).Analyzing complexity and fractality of glucose dynamics in a pregnant woman with type 2 diabetes under treatment.International Journal of Biological Sciences,15(11),2373-2380.
MLA Chen X.,et al."Analyzing complexity and fractality of glucose dynamics in a pregnant woman with type 2 diabetes under treatment".International Journal of Biological Sciences 15.11(2019):2373-2380.
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