Relationship between Clinical Indicators and the Total Amount of Bacteria in the Tongue Coat Assessed by Real-time PCR in Oral Care Evaluation

  • KISHI Mitsuo
    Department of Preventive Dentistry, Iwate Medical University School of Dentistry
  • TAKAHASHI Masahiro
    Department of Preventive Dentistry, Iwate Medical University School of Dentistry
  • KISHI Kayo
    Department of Oral Microbiology, Iwate Medical University School of Dentistry
  • HAREYAMA Fumiko
    Association of Iwate Dental Hygienist
  • TAMURA Kohei
    Department of Preventive Dentistry, Iwate Medical University School of Dentistry
  • ABE Akiko
    Department of Preventive Dentistry, Iwate Medical University School of Dentistry
  • SUGIURA Go
    Department of Preventive Dentistry, Iwate Medical University School of Dentistry
  • AIZAWA Fumie
    Department of Preventive Dentistry, Iwate Medical University School of Dentistry
  • YONEMITSU Masami
    Department of Preventive Dentistry, Iwate Medical University School of Dentistry

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Other Title
  • 口腔ケアの評価指標とreal-time PCRによる舌苔中細菌数との関連
  • コウクウ ケア ノ ヒョウカ シヒョウ ト real time PCR ニ ヨル ゼッタイ チュウ サイキンスウ ト ノ カンレン

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We assessed the relationship between clinical and bacteriological indicators on the efficacy of oral care. The subjects comprised 27 patients of a rehabilitation hospital in Iwate prefecture. We evaluated the oral status of the subjects clinically via inspection of the tongue coat volume (tongue coat score), CPI, and measurement of oral malodor (VSC: H_2S and CH_3SH levels). Subsequently, tongue coat samples were collected from the subjects for biological assessment. These samples were weighed and applied to real-time PCR to quantify the total bacterial cells. Examinations were performed both on admission and two months after admission. At two months after admission, clinical indicators were improved, especially the tongue coat score, CPI, and CH_3SH level. For the bacteriological indicators, the tongue coat volume was reduced significantly and the mean number of bacterial cells in the whole tongue coat sample tended to decrease. However, the mean number of bacterial cells per 1mg of tongue coat was almost the same. A correlation was observed between the H_2S level and the number of bacterial cells per 1mg of tongue coat. In step-wise multiple regression models in which the dependent variable was the number of bacterial cells in the whole tongue coat, the tongue coat score and H_2S level were both significant variables. In conclusion, assessment of the tongue coat volume and oral malodor via the H_2S level were efficient clinical indicators to deduce bacteriological changes after oral care.

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