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dc.creatorRodríguez Herrera, Alfonsoes
dc.creatorReyes Andrade, Joaquínes
dc.creatorRubio Escudero, Cristinaes
dc.date.accessioned2022-06-22T09:52:40Z
dc.date.available2022-06-22T09:52:40Z
dc.date.issued2021
dc.identifier.citationRodríguez Herrera, A., Reyes Andrade, J. y Rubio Escudero, C. (2021). Rationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data Mining. Nutrients, 13 (2 (art.357))
dc.identifier.issn2072-6643es
dc.identifier.urihttps://hdl.handle.net/11441/134590
dc.description.abstractThe assessment of compliance of gluten-free diet (GFD) is a keystone in the supervision of celiac disease (CD) patients. Few data are available documenting evidence-based follow-up frequency for CD patients. In this work we aim at creating a criterion for timing of clinical follow-up for CD patients using data mining. We have applied data mining to a dataset with 188 CD patients on GFD (75% of them are children below 14 years old), evaluating the presence of gluten immunogenic peptides (GIP) in stools as an adherence to diet marker. The variables considered are gender, age, years following GFD and adherence to the GFD by fecal GIP. The results identify patients on GFD for more than two years (41.5% of the patients) as more prone to poor compliance and so needing more frequent follow-up than patients with less than 2 years on GFD. This is against the usual clinical practice of following less patients on long term GFD, as they are supposed to perform better. Our results support different timing follow-up frequency taking into consideration the number of years on GFD, age and gender. Patients on long term GFD should have a more frequent monitoring as they show a higher level of gluten exposure. A gender perspective should also be considered as non-compliance is partially linked to gender in our results: Males tend to get more gluten exposure, at least in the cultural context where our study was carried out. Children tend to perform better than teenagers or adultes
dc.description.sponsorshipMinisterio de Economía y Competitividad TIN2017-88209-C2-2-Res
dc.description.sponsorshipJunta de Andalucía US-1263341es
dc.formatapplication/pdfes
dc.format.extent8es
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofNutrients, 13 (2 (art.357))
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCeliac diseasees
dc.subjectData mining gluten free dietes
dc.subjectGluten proteinses
dc.subjectImmunogenicityes
dc.subjectEvidence-based practicees
dc.subjectCase managementes
dc.subjectTreatment adherence and compliancees
dc.titleRationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data Mininges
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDTIN2017-88209-C2-2-Res
dc.relation.projectIDUS-1263341es
dc.relation.publisherversionhttps://www.mdpi.com/2072-6643/13/2/357es
dc.identifier.doi10.3390/nu13020357es
dc.contributor.groupUniversidad de Sevilla. TIC-254: Data Science and Big Data Labes
dc.journaltitleNutrientses
dc.publication.volumen13es
dc.publication.issue2 (art.357)es
dc.contributor.funderMinisterio de Economía y Competitividad (MINECO). Españaes
dc.contributor.funderJunta de Andalucíaes

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