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Consideration of oral health in rare disease expertise centres: a retrospective study on 39 rare diseases using text mining extraction method

BACKGROUND: Around 8000 rare diseases are currently defined. In the context of individual vulnerability and more specifically the one induced by rare diseases, ensuring oral health is a particularly important issue. The objective of the study is to evaluate the pattern of oral health care course for...

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Autores principales: Friedlander, Lisa, Vincent, Marc, Berdal, Ariane, Cormier-Daire, Valérie, Lyonnet, Stanislas, Garcelon, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392290/
https://www.ncbi.nlm.nih.gov/pubmed/35987771
http://dx.doi.org/10.1186/s13023-022-02467-7
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author Friedlander, Lisa
Vincent, Marc
Berdal, Ariane
Cormier-Daire, Valérie
Lyonnet, Stanislas
Garcelon, Nicolas
author_facet Friedlander, Lisa
Vincent, Marc
Berdal, Ariane
Cormier-Daire, Valérie
Lyonnet, Stanislas
Garcelon, Nicolas
author_sort Friedlander, Lisa
collection PubMed
description BACKGROUND: Around 8000 rare diseases are currently defined. In the context of individual vulnerability and more specifically the one induced by rare diseases, ensuring oral health is a particularly important issue. The objective of the study is to evaluate the pattern of oral health care course for patients with any rare genetic disease. Description of oral phenotypic signs—which predict a theoretical dental health care course—and effective orientation into an oral healthcare were evaluated. MATERIALS AND METHODS: We set up a retrospective cohort study to describe the consideration of patient oral health and potential orientation to an oral health care course who have at least been seen once between 1 January 2017 and 1 January 2020 in Necker Enfants Malades Hospital. We recruited patients from this study using the data warehouse, Dr Warehouse® (DrWH), from Necker-Enfants Malades Hospital. RESULTS: The study sample included 39 rare diseases, 2712 patients, with 54.7% girls and 45.3% boys. In the sample studied, 27.9% of patients had an acquisition delay or a pervasive developmental disorder. Among the patient files studied, oral and dental phenotypic signs were described for 18.40% of the patients, and an orientation in an oral healthcare was made in 15.60% of patients. The overall "network" effect was significantly associated with description of phenotypic signs (corrected p = 1.44e−77) and orientation to an oral healthcare (corrected p = 23.58e−44). Taking the Defiscience network (rare diseases of cerebral development and intellectual disability) as a reference for the odd ratio analysis, OSCAR, TETECOU, FILNEMUS, FIMARAD, MHEMO networks stand out from the other networks for their significantly higher consideration of oral phenotypic signs and orientation in an oral healthcare. CONCLUSION: To our knowledge, no study has explored the management of oral health in so many rare diseases. The expected benefits of this study are, among others, a better understanding, and a better knowledge of the oral care, or at least of the consideration of oral care, in patients with rare diseases. Moreover, with the will to improve the knowledge on genetic diseases, oral heath must have a major place in the deep patient phenotyping. Therefore, interdisciplinary consultations with health professionals from different fields are crucial.
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spelling pubmed-93922902022-08-21 Consideration of oral health in rare disease expertise centres: a retrospective study on 39 rare diseases using text mining extraction method Friedlander, Lisa Vincent, Marc Berdal, Ariane Cormier-Daire, Valérie Lyonnet, Stanislas Garcelon, Nicolas Orphanet J Rare Dis Research BACKGROUND: Around 8000 rare diseases are currently defined. In the context of individual vulnerability and more specifically the one induced by rare diseases, ensuring oral health is a particularly important issue. The objective of the study is to evaluate the pattern of oral health care course for patients with any rare genetic disease. Description of oral phenotypic signs—which predict a theoretical dental health care course—and effective orientation into an oral healthcare were evaluated. MATERIALS AND METHODS: We set up a retrospective cohort study to describe the consideration of patient oral health and potential orientation to an oral health care course who have at least been seen once between 1 January 2017 and 1 January 2020 in Necker Enfants Malades Hospital. We recruited patients from this study using the data warehouse, Dr Warehouse® (DrWH), from Necker-Enfants Malades Hospital. RESULTS: The study sample included 39 rare diseases, 2712 patients, with 54.7% girls and 45.3% boys. In the sample studied, 27.9% of patients had an acquisition delay or a pervasive developmental disorder. Among the patient files studied, oral and dental phenotypic signs were described for 18.40% of the patients, and an orientation in an oral healthcare was made in 15.60% of patients. The overall "network" effect was significantly associated with description of phenotypic signs (corrected p = 1.44e−77) and orientation to an oral healthcare (corrected p = 23.58e−44). Taking the Defiscience network (rare diseases of cerebral development and intellectual disability) as a reference for the odd ratio analysis, OSCAR, TETECOU, FILNEMUS, FIMARAD, MHEMO networks stand out from the other networks for their significantly higher consideration of oral phenotypic signs and orientation in an oral healthcare. CONCLUSION: To our knowledge, no study has explored the management of oral health in so many rare diseases. The expected benefits of this study are, among others, a better understanding, and a better knowledge of the oral care, or at least of the consideration of oral care, in patients with rare diseases. Moreover, with the will to improve the knowledge on genetic diseases, oral heath must have a major place in the deep patient phenotyping. Therefore, interdisciplinary consultations with health professionals from different fields are crucial. BioMed Central 2022-08-20 /pmc/articles/PMC9392290/ /pubmed/35987771 http://dx.doi.org/10.1186/s13023-022-02467-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Friedlander, Lisa
Vincent, Marc
Berdal, Ariane
Cormier-Daire, Valérie
Lyonnet, Stanislas
Garcelon, Nicolas
Consideration of oral health in rare disease expertise centres: a retrospective study on 39 rare diseases using text mining extraction method
title Consideration of oral health in rare disease expertise centres: a retrospective study on 39 rare diseases using text mining extraction method
title_full Consideration of oral health in rare disease expertise centres: a retrospective study on 39 rare diseases using text mining extraction method
title_fullStr Consideration of oral health in rare disease expertise centres: a retrospective study on 39 rare diseases using text mining extraction method
title_full_unstemmed Consideration of oral health in rare disease expertise centres: a retrospective study on 39 rare diseases using text mining extraction method
title_short Consideration of oral health in rare disease expertise centres: a retrospective study on 39 rare diseases using text mining extraction method
title_sort consideration of oral health in rare disease expertise centres: a retrospective study on 39 rare diseases using text mining extraction method
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392290/
https://www.ncbi.nlm.nih.gov/pubmed/35987771
http://dx.doi.org/10.1186/s13023-022-02467-7
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