Maximum Phonation Time Normative Values Among Malaysians and Its Relation to Body Mass Index

Al-Yahya, Syarifah Nafisah; Akram, Muhammad Haffiz Haslam Mohamed; Kumar, Kasturi Vijaya; Amin, Siti Nor Asyrah Mat; Malik, Noor Alifah Abdul; Zawawi, Nor Ain Mohd; Mahmood, Nik Ritza Kosai Nik; Mustafa, Norlaila; Azman, Mawaddah; Baki, Marina Mat

doi:10.1016/j.jvoice.2020.07.015

Cited by 10 publications

(5 citation statements)

References 26 publications

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“…Jitter is affected by the poor control of the vocal cord vibrations with depiction of the parameter of frequency variation from cycle-to-cycle, and shimmer is affected by the glottal resistance with relation to the amplitude variation of the sound wave, while NHR assesses the components that determine speech efficacy ( 11 ). MPT, on the other hand, measures the glottic efficiency ( 12 ).…”

Section: Methodsmentioning

confidence: 99%

Early Transthyrohyoid Injection Laryngoplasty Under Local Anaesthesia in a Single Tertiary Center of Southeast Asia: Multidimensional Voice Outcomes

Chow¹,

Johari²,

Rosla³

et al. 2021

TAO

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Objective: To study the effectiveness of early percutaneous transthyrohyoid injection laryngoplasty under local anesthesia in improving voice quality in unilateral vocal fold paralysis (UVFP) patients. Methods: Longitudinal data of 29 UVFP patients who underwent injection laryngoplasty within six months from the onset of the symptoms were studied. The injectate (0.5–1 mL) was hyaluronic acid-based material (Juvéderm ULTRA XC; Allergan Industrie, France) that was delivered under local anesthesia with transthyrohyoid approach using a double-bend 21G needle. Multidimensional voice outcomes employing: 1) Malay-Voice-Handicap Index-10 (mVHI-10); 2) maximum phonation time (MPT); and 3) acoustic analysis [jitter%, shimmer% and noise-harmonic ratio (NHR)] were used to assess the treatment progress. The voice parameters were measured at baseline (2 weeks pre-injection), and at the first and third months post-injection. Results: The mean age of the 29 patients was 44.69 years, with a female-to-male ratio of 3.14:1. The voice outcomes measured at different time points were evaluated with repeated measures ANOVA. Significant improvement was observed from baseline to three months post injection laryngoplasty for mVHI-10, jitter, and NHR (p<0.001), shimmer (p=0.005) and MPT (p=0.018). Following the procedure, none of the patients developed any major complications. Conclusion: Office setting early transthyrohyoid injection laryngoplasty using a double-bend needle is a safe and effective procedure in patients with UVFP with evidence of significant improvement in voice and life quality.

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Section: Methodsmentioning

confidence: 99%

Early Transthyrohyoid Injection Laryngoplasty Under Local Anaesthesia in a Single Tertiary Center of Southeast Asia: Multidimensional Voice Outcomes

Chow¹,

Johari²,

Rosla³

et al. 2021

TAO

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“…The tools used to assess dysphonia severity include the maximum phonation time (MPT) and dysphonia severity index (DSI). The MPT evaluates the function of the vocal folds by holding /a/ vocalizations for as long as possible and measuring the duration [ 11 ]. The MPT evaluation reflects the severity of dysphonia by measuring how completely the vocal folds can be kept closed while maintaining a consistent pitch and volume during vocalization [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Nutritional Biomarkers as Predictors of Dysphonia Severity in Patients with Ischemic Stroke

2023

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Dysphonia and malnutrition are major problems in patients who have suffered an ischemic stroke. Tools to assess dysphonia severity include the dysphonia severity index (DSI) and maximum phonation time (MPT). This study aimed to investigate whether the nutritional biomarkers transferrin, albumin, and prealbumin could be predictors of dysphonia severity. A retrospective analysis was conducted between January 2018 and October 2022. A total of 180 patients who had suffered an ischemic stroke were included. Serum transferrin, albumin, and prealbumin levels were significantly correlated with DSI and MPT levels. In a multiple regression analysis, prealbumin and transferrin were significant predictors of DSI, whereas only prealbumin was a significant predictor of MPT. Serum transferrin, albumin, and prealbumin levels in patients who have suffered an ischemic stroke may correlate with dysphonia severity as assessed using DSI and MPT. These results may provide objective evidence that nutritional biomarkers affect dysphonia severity.

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“…Objective assessments are aerodynamic and acoustic analyses [ 9 ]. Simple aerodynamic assessments can be done by assessing the maximum phonation time [ 10 ], whereas acoustic analysis measures voice quality by feeding the recorded voices into an installed software [ 11 ]. Clinicians analyze the results of acoustic analysis according to the normal range identified for a certain population.…”

Section: Introductionmentioning

confidence: 99%

The accuracy of an Online Sequential Extreme Learning Machine in detecting voice pathology using the Malaysian Voice Pathology Database

Za'im,

Al-Dhief,

Azman

et al. 2023

Journal of Otolaryngology - Head & Neck Surgery

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Background A multidimensional voice quality assessment is recommended for all patients with dysphonia, which requires a patient visit to the otolaryngology clinic. The aim of this study was to determine the accuracy of an online artificial intelligence classifier, the Online Sequential Extreme Learning Machine (OSELM), in detecting voice pathology. In this study, a Malaysian Voice Pathology Database (MVPD), which is the first Malaysian voice database, was created and tested. Methods The study included 382 participants (252 normal voices and 130 dysphonic voices) in the proposed database MVPD. Complete data were obtained for both groups, including voice samples, laryngostroboscopy videos, and acoustic analysis. The diagnoses of patients with dysphonia were obtained. Each voice sample was anonymized using a code that was specific to each individual and stored in the MVPD. These voice samples were used to train and test the proposed OSELM algorithm. The performance of OSELM was evaluated and compared with other classifiers in terms of the accuracy, sensitivity, and specificity of detecting and differentiating dysphonic voices. Results The accuracy, sensitivity, and specificity of OSELM in detecting normal and dysphonic voices were 90%, 98%, and 73%, respectively. The classifier differentiated between structural and non-structural vocal fold pathology with accuracy, sensitivity, and specificity of 84%, 89%, and 88%, respectively, while it differentiated between malignant and benign lesions with an accuracy, sensitivity, and specificity of 92%, 100%, and 58%, respectively. Compared to other classifiers, OSELM showed superior accuracy and sensitivity in detecting dysphonic voices, differentiating structural versus non-structural vocal fold pathology, and between malignant and benign voice pathology. Conclusion The OSELM algorithm exhibited the highest accuracy and sensitivity compared to other classifiers in detecting voice pathology, classifying between malignant and benign lesions, and differentiating between structural and non-structural vocal pathology. Hence, it is a promising artificial intelligence that supports an online application to be used as a screening tool to encourage people to seek medical consultation early for a definitive diagnosis of voice pathology.

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Maximum Phonation Time Normative Values Among Malaysians and Its Relation to Body Mass Index

Cited by 10 publications

References 26 publications

Early Transthyrohyoid Injection Laryngoplasty Under Local Anaesthesia in a Single Tertiary Center of Southeast Asia: Multidimensional Voice Outcomes

Early Transthyrohyoid Injection Laryngoplasty Under Local Anaesthesia in a Single Tertiary Center of Southeast Asia: Multidimensional Voice Outcomes

Nutritional Biomarkers as Predictors of Dysphonia Severity in Patients with Ischemic Stroke

The accuracy of an Online Sequential Extreme Learning Machine in detecting voice pathology using the Malaysian Voice Pathology Database

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