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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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Nutrients |
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| Online Access: | https://www.mdpi.com/2072-6643/13/2/357 |
| _version_ | 1797407575265771520 |
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| author | Alfonso Rodríguez-Herrera Joaquín Reyes-Andrade Cristina Rubio-Escudero |
| author_facet | Alfonso Rodríguez-Herrera Joaquín Reyes-Andrade Cristina Rubio-Escudero |
| author_sort | Alfonso Rodríguez-Herrera |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T03:44:33Z |
| format | Article |
| id | doaj.art-81c783a9923b4bbc9b4ecbef98877d50 |
| institution | Directory Open Access Journal |
| issn | 2072-6643 |
| language | English |
| last_indexed | 2024-03-09T03:44:33Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nutrients |
| spelling | doaj.art-81c783a9923b4bbc9b4ecbef98877d502023-12-03T14:36:00ZengMDPI AGNutrients2072-66432021-01-0113235710.3390/nu13020357Rationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data MiningAlfonso Rodríguez-Herrera0Joaquín Reyes-Andrade1Cristina Rubio-Escudero2Pediatrics, Saint Luke’s Hospital, University College Dublin, Kilkenny R95 FY71, IrelandUnidad de Gastroenterología y Nutrición, Instituto Hispalense de Pediatría, 41013 Seville, SpainDepartment of Computer Languages and Systems, University of Seville, 41013 Seville, SpainThe 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.https://www.mdpi.com/2072-6643/13/2/357celiac diseasedata mining gluten free dietgluten proteinsimmunogenicityevidence-based practicecase management |
| spellingShingle | Alfonso Rodríguez-Herrera Joaquín Reyes-Andrade Cristina Rubio-Escudero Rationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data Mining Nutrients celiac disease data mining gluten free diet gluten proteins immunogenicity evidence-based practice case management |
| title | Rationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data Mining |
| title_full | Rationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data Mining |
| title_fullStr | Rationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data Mining |
| title_full_unstemmed | Rationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data Mining |
| title_short | Rationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data Mining |
| title_sort | rationale for timing of follow up visits to assess gluten free diet in celiac disease patients based on data mining |
| topic | celiac disease data mining gluten free diet gluten proteins immunogenicity evidence-based practice case management |
| url | https://www.mdpi.com/2072-6643/13/2/357 |
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