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논문 기본 정보

자료유형
학술저널
저자정보
Yeon-Hee Lee (Kyung Hee University Dental Hospital) Q-Schick Auh (Kyung Hee University Dental Hospital) Hee-Kyung Park (National University School of Dentistry)
저널정보
대한치의학회 Journal of Korean Dental Science Journal of korean dental science Vol.16 No.1
발행연도
2023.6
수록면
47 - 62 (16page)

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Purpose: We aimed to investigate the objective cutoff values of unstimulated flow rates (UFR) and stimulated salivary flow rates (SFR) in patients with xerostomia and to present an optimal machine learning model with a classification and regression tree (CART) for all ages.
Materials and Methods: A total of 829 patients with oral diseases were enrolled (591 females; mean age, 59.29±16.40 years; 8~95 years old), 199 patients with xerostomia and 630 patients without xerostomia. Salivary and clinical characteristics were collected and analyzed.
Result: Patients with xerostomia had significantly lower levels of UFR (0.29±0.22 vs. 0.41±0.24 ml/min) and SFR (1.12±0.55 vs. 1.39±0.94 ml/min) (P<0.001), respectively, compared to those with non-xerostomia. The presence of xerostomia had a significantly negative correlation with UFR (r=–0.603, P=0.002) and SFR (r=–0.301, P=0.017). In the diagnosis of xerostomia based on the CART algorithm, the presence of stomatitis, candidiasis, halitosis, psychiatric disorder, and hyperlipidemia were significant predictors for xerostomia, and the cutoff ranges for xerostomia for UFR and SFR were 0.03~0.18 ml/min and 0.85~1.6 ml/min, respectively.
Conclusion: Xerostomia was correlated with decreases in UFR and SFR, and their cutoff values varied depending on the patient’s underlying oral and systemic conditions.

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Introduction
Materials and Methods
Result
Discussion
Conclusion
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