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Oral Health in Breast Cancer Women with Vitamin D Deficiency: A Machine Learning Study

Breast cancer (BC) survivors treated with aromatase inhibitors (AIs) commonly show several pathological issues, including poor oral health, bone health impairment, and vitamin D deficiency. However, to date, oral health issues in BC survivors treated with AIs have been poorly investigated and their...

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Autores principales: Ferrillo, Martina, Migliario, Mario, Marotta, Nicola, Lippi, Lorenzo, Antonelli, Alessandro, Calafiore, Dario, Ammendolia, Valerio, Fortunato, Leonzio, Renò, Filippo, Giudice, Amerigo, Invernizzi, Marco, de Sire, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410090/
https://www.ncbi.nlm.nih.gov/pubmed/36012901
http://dx.doi.org/10.3390/jcm11164662
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author Ferrillo, Martina
Migliario, Mario
Marotta, Nicola
Lippi, Lorenzo
Antonelli, Alessandro
Calafiore, Dario
Ammendolia, Valerio
Fortunato, Leonzio
Renò, Filippo
Giudice, Amerigo
Invernizzi, Marco
de Sire, Alessandro
author_facet Ferrillo, Martina
Migliario, Mario
Marotta, Nicola
Lippi, Lorenzo
Antonelli, Alessandro
Calafiore, Dario
Ammendolia, Valerio
Fortunato, Leonzio
Renò, Filippo
Giudice, Amerigo
Invernizzi, Marco
de Sire, Alessandro
author_sort Ferrillo, Martina
collection PubMed
description Breast cancer (BC) survivors treated with aromatase inhibitors (AIs) commonly show several pathological issues, including poor oral health, bone health impairment, and vitamin D deficiency. However, to date, oral health issues in BC survivors treated with AIs have been poorly investigated and their relationship with vitamin D deficiency are far from being understood. This study aimed to evaluate the correlation between oral health and vitamin D status in BC survivors undergoing treatment with AIs through a machine learning approach. In this cross-sectional study, we included post-menopausal BC women with vitamin D deficiency undergoing AIs therapy. The outcome measures were the following: oral health indexes as the Decayed, Missing, and Filled Permanent Teeth Index (DMFT); serum levels of 25(OH)D(3); Bone Mineral Density (BMD); and the diagnosis of osteoporosis. We included 41 post-menopausal BC women, mean aged 66.10 ± 8.47 years, with mean serum levels of vitamin D of 14.63 ± 6.62 ng/mL. Furthermore, 56.10% of patients had a diagnosis of osteoporosis and 36.59% were osteopenic. DMFT was significantly related to smoking (p-value = 0.005) and dental floss use (p-value = 0.001). There was a significant correlation between DMFT and vitamin D levels (Pearson’s r: −0.73; p-value = 0.001). The regression machine learning model showed that vitamin D status and the use of dental floss were the most relevant variables in terms of correlation with DMFT. In conclusion, vitamin D deficiency, inadequate use of dental floss, and smoking had a negative impact on oral health in BC women. Thus, vitamin D deficiency screening and supplementation and a prompt oral rehabilitation plan should be suggested and implemented in the complex treatment framework of BC survivors undergoing treatment with AIs.
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spelling pubmed-94100902022-08-26 Oral Health in Breast Cancer Women with Vitamin D Deficiency: A Machine Learning Study Ferrillo, Martina Migliario, Mario Marotta, Nicola Lippi, Lorenzo Antonelli, Alessandro Calafiore, Dario Ammendolia, Valerio Fortunato, Leonzio Renò, Filippo Giudice, Amerigo Invernizzi, Marco de Sire, Alessandro J Clin Med Article Breast cancer (BC) survivors treated with aromatase inhibitors (AIs) commonly show several pathological issues, including poor oral health, bone health impairment, and vitamin D deficiency. However, to date, oral health issues in BC survivors treated with AIs have been poorly investigated and their relationship with vitamin D deficiency are far from being understood. This study aimed to evaluate the correlation between oral health and vitamin D status in BC survivors undergoing treatment with AIs through a machine learning approach. In this cross-sectional study, we included post-menopausal BC women with vitamin D deficiency undergoing AIs therapy. The outcome measures were the following: oral health indexes as the Decayed, Missing, and Filled Permanent Teeth Index (DMFT); serum levels of 25(OH)D(3); Bone Mineral Density (BMD); and the diagnosis of osteoporosis. We included 41 post-menopausal BC women, mean aged 66.10 ± 8.47 years, with mean serum levels of vitamin D of 14.63 ± 6.62 ng/mL. Furthermore, 56.10% of patients had a diagnosis of osteoporosis and 36.59% were osteopenic. DMFT was significantly related to smoking (p-value = 0.005) and dental floss use (p-value = 0.001). There was a significant correlation between DMFT and vitamin D levels (Pearson’s r: −0.73; p-value = 0.001). The regression machine learning model showed that vitamin D status and the use of dental floss were the most relevant variables in terms of correlation with DMFT. In conclusion, vitamin D deficiency, inadequate use of dental floss, and smoking had a negative impact on oral health in BC women. Thus, vitamin D deficiency screening and supplementation and a prompt oral rehabilitation plan should be suggested and implemented in the complex treatment framework of BC survivors undergoing treatment with AIs. MDPI 2022-08-09 /pmc/articles/PMC9410090/ /pubmed/36012901 http://dx.doi.org/10.3390/jcm11164662 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ferrillo, Martina
Migliario, Mario
Marotta, Nicola
Lippi, Lorenzo
Antonelli, Alessandro
Calafiore, Dario
Ammendolia, Valerio
Fortunato, Leonzio
Renò, Filippo
Giudice, Amerigo
Invernizzi, Marco
de Sire, Alessandro
Oral Health in Breast Cancer Women with Vitamin D Deficiency: A Machine Learning Study
title Oral Health in Breast Cancer Women with Vitamin D Deficiency: A Machine Learning Study
title_full Oral Health in Breast Cancer Women with Vitamin D Deficiency: A Machine Learning Study
title_fullStr Oral Health in Breast Cancer Women with Vitamin D Deficiency: A Machine Learning Study
title_full_unstemmed Oral Health in Breast Cancer Women with Vitamin D Deficiency: A Machine Learning Study
title_short Oral Health in Breast Cancer Women with Vitamin D Deficiency: A Machine Learning Study
title_sort oral health in breast cancer women with vitamin d deficiency: a machine learning study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410090/
https://www.ncbi.nlm.nih.gov/pubmed/36012901
http://dx.doi.org/10.3390/jcm11164662
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