The Potential of a Saliva Test for Screening of Alveolar Bone Resorption

Author:

Ikeda Yuichi1ORCID,Chigasaki Otofumi12,Mizutani Koji1ORCID,Sasaki Yoshiyuki3ORCID,Aoyama Norio4ORCID,Mikami Risako1ORCID,Gokyu Misa1ORCID,Umeda Makoto5ORCID,Izumi Yuichi16ORCID,Aoki Akira1ORCID,Takeuchi Yasuo7ORCID

Affiliation:

1. Department of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), Tokyo 113-8549, Japan

2. Tsukuba Health-Care Dental Clinic, Tsukuba 305-0834, Japan

3. Clinical Dental Research Promotion Unit, Faculty of Dentistry, Tokyo Medical and Dental University (TMDU), Tokyo 113-8549, Japan

4. Department of Periodontology, Kanagawa Dental University, Yokosuka 238-8580, Japan

5. Department of Periodontology, Osaka Dental University, Osaka 540-0008, Japan

6. Oral Care Periodontics Center, Southern Tohoku General Hospital, Southern Tohoku Research Institute for Neuroscience, Koriyama 963-8052, Japan

7. Department of Lifetime Oral Health Care Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), Tokyo 113-8510, Japan

Abstract

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 >107 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.

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

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