Kajian faktor-faktor yang berhubungan dengan skor nasalance pada pasien celah palatum

Objective To compare Eustachian tube ventilation function between cleft palate subjects and normal subjects using sonotubometry. Method A comparative cross-sectional study was conducted at the Department Otolaryngology-Head and Neck Surgery of Ciptomangunkusumo National Hospital, Universitas Indonesia, Jakarta, from June 2013 to January 2014.There were 31 subjects with cleft palate and 62 healthy subjects aged ≤18 years, and both groups were matched according to age. Each subject underwent ear, nose, and throat examination with Veau classification and sonotubometry, a new assembly test in Indonesia. The results of the sonotubogram (the number of Eustachian tube openings, amplitude enhancement in dB, and the duration of Eustachian tube opening in ms) were then analyzed with SPSS using chi-square and Mann–Whitney tests. Results Subjects with cleft palate had lower Eustachian tube function than healthy subjects using three sonotubometry parameters ( p < 0.001). The proportion of Eustachian tube dysfunction based on the Veau classification was significant ( p < 0.001). In multivariate analysis, several determinant factors of Eustachian tube dysfunction were found, such as adenoid hypertrophy (risk factor6.46), the number of Eustachian tube openings (risk factor 36.21), and higher Veau classification (risk factor 10.41). Conclusion Sonotubometry could be used to assess parameters of Eustachian tube function. Subjects with cleft palate have a higher risk of having Eustachian tube dysfunction, as do subjects with adenoid hypertrophy.

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“…Adenoid hypertrophy was significantly associated with nasalance scores in subjects with cleft palate. 8 , 12 …”

Section: Discussionmentioning

confidence: 99%

Comparison of Eustachian tube ventilation function between cleft palate and normal patients using sonotubometry

et al. 2021

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Speech improvement in a child with submucous cleft palate surgery: A case report

Widodo

Airlangga

Aryanti

2020

Otolaryngology Case Reports

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An Intelligent Diagnosis of Anemia Using Tensor Flow

Nithyashri,

Ramya,

Mathur

2024

Advances in Computational Intelligence and Robotics

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Typically, hemoglobin levels are measured in the patient's blood to make the diagnosis. But as research develops, techniques other than assessing the conjunctival pallor may be used to determine hemoglobin levels. A framework consisting of decision tree, logistic regression comparison techniques, as well as the Histogram of Oriented Gradient (HOG), attempts to diagnose diabetes from connected photos. A consensus was reached on issues like room size 8x8, block size 8x8, bin number 15, L2Hys block normalization and entropy process, the best discriminator, random state is 10, minimum pollution reduction is 0.15, and the system can produce 82.5% of the test images, which had an image size of 256x128 based on the results of HOG and decision tree. As for the logistic regression is concerned, the best is blocking normalization and random state with unit size 16x16, block size 8x8, number of bins 11, L2Hys 30, system capacity, utilizing the Stochastic Gradient Descent (SGD) optimizer method. 92.5% of the best outcomes were produced in 24.20 seconds of calculation time.

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Kajian faktor-faktor yang berhubungan dengan skor nasalance pada pasien celah palatum

Cited by 3 publications

References 22 publications

Comparison of Eustachian tube ventilation function between cleft palate and normal patients using sonotubometry

Comparison of Eustachian tube ventilation function between cleft palate and normal patients using sonotubometry

Speech improvement in a child with submucous cleft palate surgery: A case report

An Intelligent Diagnosis of Anemia Using Tensor Flow

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