Rationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data Mining

The 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...

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Veröffentlicht in:Nutrients 2021-01, Vol.13 (2), p.357
Hauptverfasser: Rodríguez-Herrera, Alfonso, Reyes-Andrade, Joaquín, Rubio-Escudero, Cristina
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creator Rodríguez-Herrera, Alfonso
Reyes-Andrade, Joaquín
Rubio-Escudero, Cristina
description The 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 adults.
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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. 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source MDPI - Multidisciplinary Digital Publishing Institute; MEDLINE; PMC (PubMed Central); Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access
subjects Adolescent
Age
Age Factors
Algorithms
Antibodies
Ash, Rene Lee
Autoimmune diseases
Celiac disease
Celiac Disease - diet therapy
Celiac Disease - metabolism
Child
Children
Chronic illnesses
Classification
Data mining
Data Mining - methods
Datasets
Decision making
Decision trees
Diet
Diet, Gluten-Free - methods
Evidence-based medicine
Exposure
Feces
Female
Follow-Up Studies
Gender
Gluten
Humans
Immune response
Immunogenicity
Male
Patient compliance
Patient Compliance - statistics & numerical data
Patients
Peptides
Retrospective Studies
Serology
Sex Factors
Time Factors
Variables
title Rationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data Mining
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