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Accuracy of Continuous Glucose Monitoring before, during, and after Aerobic and Anaerobic Exercise in Patients with Type 1 Diabetes Mellitus

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Accuracy of Continuous Glucose Monitoring before, during, and after Aerobic and Anaerobic Exercise in Patients with Type 1 Diabetes Mellitus

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dc.contributor.author Biagi, L. es_ES
dc.contributor.author Bertachi, A. es_ES
dc.contributor.author Quirós, C. es_ES
dc.contributor.author Giménez, M. es_ES
dc.contributor.author Conget, I. es_ES
dc.contributor.author Bondía Company, Jorge es_ES
dc.contributor.author Vehí, Josep es_ES
dc.date.accessioned 2020-07-04T03:32:18Z
dc.date.available 2020-07-04T03:32:18Z
dc.date.issued 2018-03-09 es_ES
dc.identifier.issn 2079-6374 es_ES
dc.identifier.uri http://hdl.handle.net/10251/147435
dc.description.abstract [EN] Continuous glucose monitoring (CGM) plays an important role in treatment decisions for patients with type 1 diabetes under conventional or closed-loop therapy. Physical activity represents a great challenge for diabetes management as well as for CGM systems. In this work, the accuracy of CGM in the context of exercise is addressed. Six adults performed aerobic and anaerobic exercise sessions and used two Medtronic Paradigm Enlite-2 sensors under closed-loop therapy. CGM readings were compared with plasma glucose during different periods: one hour before exercise, during exercise, and four hours after the end of exercise. In aerobic sessions, the median absolute relative difference (MARD) increased from 9.5% before the beginning of exercise to 16.5% during exercise (p < 0.001), and then decreased to 9.3% in the first hour after the end of exercise (p < 0.001). For the anaerobic sessions, the MARD before exercise was 15.5% and increased without statistical significance to 16.8% during exercise realisation (p = 0.993), and then decreased to 12.7% in the first hour after the cessation of anaerobic activities (p = 0.095). Results indicate that CGM might present lower accuracy during aerobic exercise, but return to regular operation a few hours after exercise cessation. No significant impact for anaerobic exercise was found. es_ES
dc.description.sponsorship This project was partially supported by the Spanish Government through grants DPI2013-46982-C2-1-R, DPI2013-46982-C2-2-R, DPI2016-78831-C2-1-R, and DPI2016-78831-C2-2-R, and by the National Council of Technological and Scientific Development, CNPq Brazil through grants 202050/2015-7 and 207688/2014-1. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation info:eu-repo/grantAgreement/MINECO//DPI2013-46982-C2-2-R/ES/NUEVOS METODOS PARA LA EFICIENCIA Y SEGURIDAD DEL PANCREAS ARTIFICIAL DOMICILIARIO EN DIABETES TIPO 1/ es_ES
dc.relation CNPq/202050/2015-7 es_ES
dc.relation MINECO/DPI2016-78831-C2-2-R es_ES
dc.relation CNPq/207688/2014-1 es_ES
dc.relation info:eu-repo/grantAgreement/MINECO//DPI2013-46982-C2-1-R/ES/NUEVOS METODOS PARA LA EFICIENCIA Y SEGURIDAD DEL PANCREAS ARTIFICIAL DOMICILIARIO EN DIABETES TIPO 1/ es_ES
dc.relation AEI/DPI2016-78831-C2-1-R es_ES
dc.relation.ispartof Biosensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Continuous glucose monitoring es_ES
dc.subject Accuracy es_ES
dc.subject Exercise es_ES
dc.subject Physical activity es_ES
dc.subject Type 1 diabetes es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title Accuracy of Continuous Glucose Monitoring before, during, and after Aerobic and Anaerobic Exercise in Patients with Type 1 Diabetes Mellitus es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/bios8010022 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation Biagi, L.; Bertachi, A.; Quirós, C.; Giménez, M.; Conget, I.; Bondía Company, J.; Vehí, J. (2018). Accuracy of Continuous Glucose Monitoring before, during, and after Aerobic and Anaerobic Exercise in Patients with Type 1 Diabetes Mellitus. Biosensors. 8(1):1-8. https://doi.org/10.3390/bios8010022 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/bios8010022 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 8 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.description.issue 1 es_ES
dc.identifier.pmid 29522429 es_ES
dc.identifier.pmcid PMC5872070 es_ES
dc.relation.pasarela S\386367 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Ministerio de Economía y Empresa es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES
dc.contributor.funder Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil es_ES


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