Objective: A systematic review and a meta-analysis were performed to identify the main characteristics of voice disturbances in bulbar amyotrophic lateral sclerosis. Materials and Methods: Literature searches with the keywords: “amyotrophic lateral sclerosis” and “dysarthria” and “intelligibility” were conducted in PubMed, EMBASE, Cochrane Library and Web of Science to perform the systematic review about the articulatory disorders and with the keyword “amyotrophic lateral sclerosis” and “voice” to conduct the meta-analysis about the phonetic changes in patients with bulbar ALS. Results: Seven publications met the inclusion criteria and were included in the meta-analysis, twenty-six publications were included in the systematic review. The data within the meta-analysis revealed that several voice parameters including Jitter, Shimmer, Noise to Harmonic Ratio discriminated best between bulbar amyotrophic lateral sclerosis and healthy controls. On the other hand, significant variations of fundamental frequency were not observed. Conclusion: Acoustic analysis of voice and articulatory analysis contributes to identification of the earliest signs of bulbar degeneration and allows the identification of changes in voice parameters for an early detection, for predicting bulbar involvement and the worsening of disease, for targeting specific intervention. Among the voice parameters, Jitter and Shimmer discriminated better bulbar involvement, they are significantly increased in the patients, on the contrary maximum phonation time is significantly worsened. The careful monitoring of speech symptoms improves diagnostic accuracy and the close cooperation of a multidisciplinary team (physicians as otolaryngologist and physiatrist, speech and language therapists, physiotherapist, dietitians, caregivers, the patients, and their relatives) could be essential.

Acoustic analysis of voice in bulbar amyotrophic lateral sclerosis: a systematic review and meta-analysis of studies

Chiaramonte R.
Primo
;
2020-01-01

Abstract

Objective: A systematic review and a meta-analysis were performed to identify the main characteristics of voice disturbances in bulbar amyotrophic lateral sclerosis. Materials and Methods: Literature searches with the keywords: “amyotrophic lateral sclerosis” and “dysarthria” and “intelligibility” were conducted in PubMed, EMBASE, Cochrane Library and Web of Science to perform the systematic review about the articulatory disorders and with the keyword “amyotrophic lateral sclerosis” and “voice” to conduct the meta-analysis about the phonetic changes in patients with bulbar ALS. Results: Seven publications met the inclusion criteria and were included in the meta-analysis, twenty-six publications were included in the systematic review. The data within the meta-analysis revealed that several voice parameters including Jitter, Shimmer, Noise to Harmonic Ratio discriminated best between bulbar amyotrophic lateral sclerosis and healthy controls. On the other hand, significant variations of fundamental frequency were not observed. Conclusion: Acoustic analysis of voice and articulatory analysis contributes to identification of the earliest signs of bulbar degeneration and allows the identification of changes in voice parameters for an early detection, for predicting bulbar involvement and the worsening of disease, for targeting specific intervention. Among the voice parameters, Jitter and Shimmer discriminated better bulbar involvement, they are significantly increased in the patients, on the contrary maximum phonation time is significantly worsened. The careful monitoring of speech symptoms improves diagnostic accuracy and the close cooperation of a multidisciplinary team (physicians as otolaryngologist and physiatrist, speech and language therapists, physiotherapist, dietitians, caregivers, the patients, and their relatives) could be essential.
2020
Acoustic analysis
diagnosis
speech-language-pathology
voice
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/584456
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