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The Potential of a Saliva Test for Screening of Alveolar Bone Resorption
Oral health screening is important for maintaining and improving quality of life. The present study aimed to determine whether patients with a certain level of alveolar bone resorption could be screened by salivary bacterial test along with their background information. Saliva samples were collected...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340156/ https://www.ncbi.nlm.nih.gov/pubmed/37444656 http://dx.doi.org/10.3390/healthcare11131822 |
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author | Ikeda, Yuichi Chigasaki, Otofumi Mizutani, Koji Sasaki, Yoshiyuki Aoyama, Norio Mikami, Risako Gokyu, Misa Umeda, Makoto Izumi, Yuichi Aoki, Akira Takeuchi, Yasuo |
author_facet | Ikeda, Yuichi Chigasaki, Otofumi Mizutani, Koji Sasaki, Yoshiyuki Aoyama, Norio Mikami, Risako Gokyu, Misa Umeda, Makoto Izumi, Yuichi Aoki, Akira Takeuchi, Yasuo |
author_sort | Ikeda, Yuichi |
collection | PubMed |
description | Oral health screening is important for maintaining and improving quality of life. The present study aimed to determine whether patients with a certain level of alveolar bone resorption could be screened by salivary bacterial test along with their background information. Saliva samples were collected from 977 Japanese patients, and the counts of each red-complex, that is, Porphyromonas gingivalis, Treponema denticola, and Tannerella forsythia, were measured using quantitative polymerase chain reaction analysis. Mean bone crest levels (BCLs) were measured using a full-mouth periapical radiograph. Multiple logistic regression analysis was used to determine associations between BCLs (1.5–4.0 mm in 0.5 mm increments) and explanatory variables, such as the number of each red-complex bacteria and the patients’ age, sex, number of teeth, stimulated saliva volume, and smoking habits. When the cutoff BCL value was set at 3.0 mm, the area under the curve, sensitivity, and specificity values were optimal at 0.86, 0.82, and 0.76, respectively. In addition, all tested explanatory variables, except sex and T. denticola count, were significantly associated with BCLs according to a likelihood ratio test (p < 0.05). Additionally, the odds ratio (OR) was substantially increased when a patient was >40 years old and the bacterial count of P. gingivalis was >10(7) cells/µL (OR: >6). Thus, P. gingivalis count and patients’ background information were significantly associated with the presence of a certain amount of bone resorption, suggesting that it may be possible to screen bone resorption without the need for radiography or oral examination. |
format | Online Article Text |
id | pubmed-10340156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103401562023-07-14 The Potential of a Saliva Test for Screening of Alveolar Bone Resorption Ikeda, Yuichi Chigasaki, Otofumi Mizutani, Koji Sasaki, Yoshiyuki Aoyama, Norio Mikami, Risako Gokyu, Misa Umeda, Makoto Izumi, Yuichi Aoki, Akira Takeuchi, Yasuo Healthcare (Basel) Article Oral health screening is important for maintaining and improving quality of life. The present study aimed to determine whether patients with a certain level of alveolar bone resorption could be screened by salivary bacterial test along with their background information. Saliva samples were collected from 977 Japanese patients, and the counts of each red-complex, that is, Porphyromonas gingivalis, Treponema denticola, and Tannerella forsythia, were measured using quantitative polymerase chain reaction analysis. Mean bone crest levels (BCLs) were measured using a full-mouth periapical radiograph. Multiple logistic regression analysis was used to determine associations between BCLs (1.5–4.0 mm in 0.5 mm increments) and explanatory variables, such as the number of each red-complex bacteria and the patients’ age, sex, number of teeth, stimulated saliva volume, and smoking habits. When the cutoff BCL value was set at 3.0 mm, the area under the curve, sensitivity, and specificity values were optimal at 0.86, 0.82, and 0.76, respectively. In addition, all tested explanatory variables, except sex and T. denticola count, were significantly associated with BCLs according to a likelihood ratio test (p < 0.05). Additionally, the odds ratio (OR) was substantially increased when a patient was >40 years old and the bacterial count of P. gingivalis was >10(7) cells/µL (OR: >6). Thus, P. gingivalis count and patients’ background information were significantly associated with the presence of a certain amount of bone resorption, suggesting that it may be possible to screen bone resorption without the need for radiography or oral examination. MDPI 2023-06-21 /pmc/articles/PMC10340156/ /pubmed/37444656 http://dx.doi.org/10.3390/healthcare11131822 Text en © 2023 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 Ikeda, Yuichi Chigasaki, Otofumi Mizutani, Koji Sasaki, Yoshiyuki Aoyama, Norio Mikami, Risako Gokyu, Misa Umeda, Makoto Izumi, Yuichi Aoki, Akira Takeuchi, Yasuo The Potential of a Saliva Test for Screening of Alveolar Bone Resorption |
title | The Potential of a Saliva Test for Screening of Alveolar Bone Resorption |
title_full | The Potential of a Saliva Test for Screening of Alveolar Bone Resorption |
title_fullStr | The Potential of a Saliva Test for Screening of Alveolar Bone Resorption |
title_full_unstemmed | The Potential of a Saliva Test for Screening of Alveolar Bone Resorption |
title_short | The Potential of a Saliva Test for Screening of Alveolar Bone Resorption |
title_sort | potential of a saliva test for screening of alveolar bone resorption |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340156/ https://www.ncbi.nlm.nih.gov/pubmed/37444656 http://dx.doi.org/10.3390/healthcare11131822 |
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