A pilot clinical evaluation of oral mucosal dryness in dehydrated patients using a moisture‐checking device

Fukushima, Yukio; Sano, Yoshie; Isozaki, Yuta; Endo, Masayuki; Tomoda, Taketo; Kitamura, Tomohisa; Sato, Tsuyoshi; Kamijo, Yoshito; Haga, Yoshiyuki; Yoda, Tetsuya

doi:10.1002/cre2.145

Cited by 21 publications

(23 citation statements)

References 17 publications

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“…The oral moisture‐checking device has already been reported to be useful in the evaluation of dry mouth . In the present study, we focused on the intra‐ and inter‐investigator reliabilities of the oral moisture‐checking device.…”

Section: Discussionmentioning

confidence: 99%

“…The oral moisture-checking device has already been reported to be useful in the evaluation of dry mouth. 4,9,10,12 In the present study, we focused on the intra-and inter-investigator reliabilities of the oral moisture-checking device. Overall, intra-and inter-investigator reliabilities of values measured using an oral moisture-checking device were confirmed in this study.…”

Section: Coefficient Of Variationmentioning

confidence: 99%

“…Mouth dryness is a diagnostic criterion of this condition. Mouth dryness is assessed by the evaluation of oral mucosal moisture; saliva volume using the gum chewing test, paraffin chewing test, Saxon test, spitting method or modified cotton roll method and the evaluation of the physical properties of saliva. To diagnose oral hypofunction, mucosal moisture in the central region of the tongue dorsum is assessed using an oral moisture‐checking device or by measuring the saliva volume using the Saxon test .…”

Section: Introductionmentioning

confidence: 99%

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Intra‐ and inter‐investigator reliabilities of oral moisture measured using an oral moisture‐checking device

Takano

Kugimiya

Morita

et al. 2019

J of Oral Rehabilitation

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Background Oral mucosal moisture determined using oral moisture‐checking devices is used as a mouth dryness evaluation method. Such devices are capable of evaluating the state of mouth dryness in a simple manner and have applicability in a wide range of subjects; however, their intra‐ and inter‐investigator reliabilities have not yet been clarified. Objective This study aims to investigate the intra‐ and inter‐investigator reliabilities of measuring oral moisture using an oral moisture‐checking device for a wide range of age groups. Methods Intra‐ and inter‐investigator reliabilities were investigated in 28 young subjects and 19 older subjects aged ≥65 years. Three trained investigators independently measured oral mucosal moisture values using an oral moisture‐checking device. Intra‐investigator reliability was assessed using the coefficient of variation (CV) and intraclass correlation coefficient (ICC) (1.1), and inter‐investigator reliability was assessed using ICC (2.1). Results Mean CV was 0.015 and 0.016, mean ICC (1.1) was 0.806 and 0.877, and ICC (2.1) was 0.873 and 0.829 in the young and older subjects, respectively. Conclusion In young subjects, the mean values of ICC (1.1) and ICC (2.1) of the oral moisture‐checking device were 0.806 and 0.873, respectively, whereas in older subjects, these values were 0.877 and 0.829, respectively. Thus, this confirms that the examination of oral mucosal moisture using the oral moisture‐checking device has sufficient intra‐ and inter‐investigator reliabilities for a wide range of age groups.

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Section: Discussionmentioning

confidence: 99%

Section: Coefficient Of Variationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Intra‐ and inter‐investigator reliabilities of oral moisture measured using an oral moisture‐checking device

Takano

Kugimiya

Morita

et al. 2019

J of Oral Rehabilitation

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“…U-WSV- and S-WSV-based measurement methods, such as the spitting, Saxon, and gum methods [ 21 , 22 , 23 ], are widely employed to determine the salivary flow rate. Other methods have also been proposed, including the use of a moisture-checking device to measure the impedance of the oral mucosa, filter paper to measure the oral mucosal wetness, or direct clinical inspection of the oral mucosa and saliva [ 29 ]. Furthermore, scintigraphy, ptyalography, and lip gland biopsies have also been presented as tests that directly evaluate salivary gland function and yield detailed information [ 23 ].…”

Section: Discussionmentioning

confidence: 99%

Reliability of Screening Methods to Diagnose Oral Dryness and Evaluate Saliva Secretion

et al. 2020

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In this study, we evaluated the reliability and reproducibility of widely implemented salivary flow rate and oral dryness tests. In experiment 1, twenty young and healthy Japanese participants volunteered to participate. For each participant, the oral moisture (OM) level, unstimulated whole saliva volume (U-WSV), and stimulated whole saliva volume (S-WSV) were measured at the same time on two separate days. In experiment 2, twenty-seven patients who were over 65 years of age volunteered to participate. The OM level and U-WSV were measured at the same time on two separate days. In Experiment 1, the intra-class correlation coefficients (ICCs) corresponding to the S-WSV, U-WSV, and OM level were 0.23, 0.28, and 0.16, respectively, for the young participants. In Experiment 2, the ICCs corresponding to the U-WSV/spitting and OM level were 0.83 and 0.12, respectively, for the older participants. The results of Bland–Altman analysis confirmed the absence of systematic error, with the exception of the OM level results in Experiment 2, which indicated systematic bias. In conclusion, we believe that there is currently no consistent and reliable screening test for assessing salivary flow rate and oral dryness, although the spitting test was determined to be highly reliable.

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“…365-372 dehidrasi terbagi menjadi tiga tingkatan, yaitu dehidrasi ringan, sedang dan berat. Dehidrasi ringan terjadi ketika tubuh kehilangan 3-5% cairan, dehidrasi sedang ketika tubuh kehilangan 5-10% cairan dan dehidrasi berat ketika tubuh kehilangan lebih dari 10% cairan (Fukushima et al, 2018). Karena sebagian besar kandungan tubuh manusia adalah air, maka ketika kandungan air berkurang akan menyebabkan ketidakseimbangan fungsi organ-organ di dalam tubuh.…”

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Klasifikasi Tingkat Dehidrasi Berdasarkan Kondisi Urine, Denyut Jantung dan Laju Pernapasan

Maulana

Caesardi

Setiawan

2021

JTIIK

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Dehidrasi merupakan suatu kondisi ketika tubuh kekurangan cairan. Secara umum terdapat tiga tingkatan dehidrasi, yaitu dehidrasi ringan, sedang dan berat. Tingkatan dehidrasi berat sangat berbahaya bagi penderitanya, bahkan dapat mengakibatkan kematian. Untuk mencegah terjadinya tingkatan dehidrasi yang berbahaya, maka diperlukan pendeteksian secara dini agar penderita dehidrasi segera mendapatkan penanganan yang cepat dan tepat. Terdapat beberapa parameter yang dapat digunakan untuk mendeteksi dehidrasi, diantaranya warna dan kadar ammonia pada urine, denyut jantung dan laju pernapasan. Pada penelitian ini, dirancang sebuah sistem klasifikasi tingkatan dehidrasi berdasarkan empat parameter tersebut dengan menggunakan metode klasifikasi k-nearest neighbor. Sistem yang dirancang mampu memberikan kemudahan untuk melakukan pemeriksaan secara mandiri dan mendapatkan hasil klasifikasi tingkat dehidrasi secara real-time. Dataset yang digunakan dalam penelitian ini berjumlah 75 data yang didapatkan dari pasien diare yang menjalani perawatan di Rumah Sakit. Data tersebut sudah memiliki tingkatan dehidrasi berdasarkan diagnosis dari dokter. Dari hasil pengujian yang telah dilakukan, metode k-nearest neighbor memiliki tingkat akurasi terbaik pada penggunaan nilai k=5 dan k=7 dengan nilai akurasi sebesar 96%. Abstract Dehydration is a condition when the body lacks of fluids, caused by the amount of fluid released by the body is greater than the fluids that enters the body. Dehydration is divided into three levels, mild, moderate and severe. Severe dehydration is very dangerous and can even lead to death in patients. To prevent dangerous levels of dehydration, early detection is needed to provide fast and precise treatment to patients. There are several parameters that can be used to detect dehydration, such as color and ammonia levels in urine, heart rate and respiratory rate. This paper designed a system to classify dehydration levels based on these four parameters using k-nearest neighbor classification method. The system is designed to be easy to use independently and provides real-time classification results. There are 75 datasets used in this paper, obtained from diarrhea patients in a hospital in Malang. Each data already has a label in the form of dehydration level based on the doctor’s diagnosis. From the test result, k-nearest neighbor has the best classification accuracy at k=5 and k=7 with the accuracy of 96%.

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A pilot clinical evaluation of oral mucosal dryness in dehydrated patients using a moisture‐checking device

Cited by 21 publications

References 17 publications

Intra‐ and inter‐investigator reliabilities of oral moisture measured using an oral moisture‐checking device

Intra‐ and inter‐investigator reliabilities of oral moisture measured using an oral moisture‐checking device

Reliability of Screening Methods to Diagnose Oral Dryness and Evaluate Saliva Secretion

Klasifikasi Tingkat Dehidrasi Berdasarkan Kondisi Urine, Denyut Jantung dan Laju Pernapasan

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