Voice-Based Classification of Amyotrophic Lateral Sclerosis: Where Are We and Where Are We Going? A Systematic Review.

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal progressive motor neuron disease. People with ALS demonstrate various speech problems. SUMMARY: We aim to provide an overview of studies concerning the diagnosis of ALS based on the analysis of voice samples. The main focus is on the feasibility of the use of voice and speech assessment as an effective method to diagnose the disease, either in clinical or pre-clinical conditions, and to monitor the disease progression. Specifically, we aim to examine current knowledge on: (a) voice parameters and the data models that can, most effectively, provide robust results; (b) the feasibility of a semi-automatic or automatic diagnosis and outcomes; and (c) the factors that can improve or restrict the use of such systems in a real-world context. Key Messages: The studies already carried out on the possibility of diagnosis of ALS using the voice signal are still sparse but all point to the importance, feasibility and simplicity of this approach. Most cohorts are small which limits the statistical relevance and makes it difficult to infer broader conclusions. The set of features used, although diverse, is quite circumscribed. ALS is difficult to diagnose early because it may mimic several other neurological diseases. Promising results were found for the automatic detection of ALS from speech samples and this can be a feasible process even in pre-symptomatic stages. Improved guidelines must be set in order to establish a robust decision model.

Demographic and Symptomatic Features of Voice Disorders and Their Potential Application in Classification Using Machine Learning Algorithms.

BACKGROUND: Studies have used questionnaires of dysphonic symptoms to screen voice disorders. This study investigated whether the differential presentation of demographic and symptomatic features can be applied to computerized classification. METHODS: We recruited 100 patients with glottic neoplasm, 508 with phonotraumatic lesions, and 153 with unilateral vocal palsy. Statistical analyses revealed significantly different distributions of demographic and symptomatic variables. Machine learning algorithms, including decision tree, linear discriminant analysis, K-nearest neighbors, support vector machine, and artificial neural network, were applied to classify voice disorders. RESULTS: The results showed that demographic features were more effective for detecting neoplastic and phonotraumatic lesions, whereas symptoms were useful for detecting vocal palsy. When combining demographic and symptomatic variables, the artificial neural network achieved the highest accuracy of 83 ± 1.58%, whereas the accuracy achieved by other algorithms ranged from 74 to 82.6%. Decision tree analyses revealed that sex, age, smoking status, sudden onset of dysphonia, and 10-item voice handicap index scores were significant characteristics for classification. CONCLUSION: This study demonstrated a significant difference in demographic and symptomatic features between glottic neoplasm, phonotraumatic lesions, and vocal palsy. These features may facilitate automatic classification of voice disorders through machine learning algorithms.

Speech outcome in unilateral complete cleft lip and palate patients: a descriptive study.

AIM: In this study, resonance and articulation disorders were examined in a group of patients surgically treated for cleft lip and palate, considering family social background, and children's ability of self monitoring their speech output while speaking. MATERIALS AND METHODS: Fifty children (32 males and 18 females) mean age 6.5 ± 1.6 years, affected by non-syndromic complete unilateral cleft of the lip and palate underwent the same surgical protocol. The speech level was evaluated using the Accordi's speech assessment protocol that focuses on intelligibility, nasality, nasal air escape, pharyngeal friction, and glottal stop. Pearson product-moment correlation analysis was used to detect significant associations between analysed parameters. RESULTS: A total of 16% (8 children) of the sample had severe to moderate degree of nasality and nasal air escape, presence of pharyngeal friction and glottal stop, which obviously compromise speech intelligibility. Ten children (10%) showed a barely acceptable phonological outcome: nasality and nasal air escape were mild to moderate, but the intelligibility remained poor. Thirty-two children (64%) had normal speech. Statistical analysis revealed a significant correlation between the severity of nasal resonance and nasal air escape (p ≤ 0.05). No statistical significant correlation was found between the final intelligibility and the patient social background, neither between the final intelligibility nor the age of the patients. CONCLUSION: The differences in speech outcome could be explained with a specific, subjective, and inborn ability, different for each child, in self-monitoring their speech output.

Classification of laryngeal diseases including laryngeal cancer, benign mucosal disease, and vocal cord paralysis by artificial intelligence using voice analysis.

Voice change is often the first sign of laryngeal cancer, leading to diagnosis through hospital laryngoscopy. Screening for laryngeal cancer solely based on voice could enhance early detection. However, identifying voice indicators specific to laryngeal cancer is challenging, especially when differentiating it from other laryngeal ailments. This study presents an artificial intelligence model designed to distinguish between healthy voices, laryngeal cancer voices, and those of the other laryngeal conditions. We gathered voice samples of individuals with laryngeal cancer, vocal cord paralysis, benign mucosal diseases, and healthy participants. Comprehensive testing was conducted to determine the best mel-frequency cepstral coefficient conversion and machine learning techniques, with results analyzed in-depth. In our tests, laryngeal diseases distinguishing from healthy voices achieved an accuracy of 0.85-0.97. However, when multiclass classification, accuracy ranged from 0.75 to 0.83. These findings highlight the challenges of artificial intelligence-driven voice-based diagnosis due to overlaps with benign conditions but also underscore its potential.

[Validation of the German version of the Singing Voice Handicap Index]. / Validierung des Singing Voice Handicap Index in der deutschen Fassung.

The Singing Voice Handicap Index (SVHI) was developed in the United States for the self-assessment of patients with singing problems. It has been translated into German and its reliability and validity have been assessed. In total, 54 (35 female, 19 male) dysphonic singers and 130 (74 female, 56 male) non-dysphonic professional singers were included in the study. Reliability rested on high test-retest reliability (r = 0.960, p ≤ 0.001, Pearson correlation) and a Cronbach's α of 0.975. A principal component analysis using the Varimax method and the results of the screeplot suggest the SVHI scored as a single scale. Validity rested on a highly significant correlation between the severity of the self-rated voice impairment by the patient and the total SVHI score. Dysphonic singers have significantly higher SVHI scores than healthy singers. The SVHI is thus suited to implementation as a diagnostic tool in German-speaking countries.

Applicability of the vocal tract discomfort (VTD) scale in evaluating the effects of voice therapy of occupational voice disorders.

BACKGROUND: Occupational voice disorders are characterized by rich symptomatology, which is dominated by symptoms by the vocal tract discomfort. Therefore, in the management it is important to consider these subjective complaints. The aim of the study was to assess the usefulness of using the vocal tract discomfort scale (VTD) in evaluating the effects of rehabilitation concerning occupational dysphonia. MATERIAL AND METHODS: The study included 55 teachers (mean age: 47.2) with occupational dysphonia diagnosed by means of videostroboscopy. The test battery covered also: voice self-assessment according to voice handicap index (VHI), perceptual GRBAS scale and the new VTD scale. Each subject underwent intensive rehabilitation, including voice training and voice hygiene education. The post-therapy examination was conducted using the above-mentioned methods. RESULTS: Comparing the results obtained in the preliminary and the control test a significant post-therapy improvement (p = 0.000) was discovered in relation to the general outcome of the symptoms in the VTD scale-- assessed both as for the frequency subscale (24.7 points vs. 10 points) and the severity subscale (25.5 points vs. 10 points). A positive significant effect of the treatment was also observed in the voice VHI disability index (p < 0.05) and in perceptual voice evaluation, using the GRBAS scale (p < 0.05). In addition, the study revealed a high coefficient of correlation (r) between the subscales of the VTD, both in the preliminary examination (r = 0.934) and the control one (r = 0.935). CONCLUSIONS: The vocal tract discomfort scale (VTD) seems to be a valuable tool, useful in monitoring the progress in the treatment of occupational voice disorders.

Two-dimensional Scheme for Arranging Voice Disorders.

Importance: Prevalent schemes that have been used for arranging voice pathologies have shaped theoretical and clinical views and the conceptualization of the pathologies and of the field as a whole. However, these available schemes contain inconsistencies and categorical overlaps. Objective: To develop and evaluate a new approach for arranging voice pathologies, using 2 continuous scales, organicity and tonicity, which were used to construct a 2-dimensional plane. Design, Setting, and Participants: This survey study was conducted among experts in the fields of laryngology and/or voice disorders from 10 countries. The survey was conducted using an online platform from March to May 2021. The data were analyzed in June 2021. Of the 45 experts who were initially approached, 39 (86.7%) completed the survey. Main Outcomes and Measures: The primary outcome measures were group ratings on 2 rating scales: organicity and tonicity. On the organicity scale, 0 represented nonorganic and 10 organic. On the tonicity scale, 0 represented hypotonic and 10 hypertonic. Results: Participants included 16 laryngologists and 23 speech-language pathologists, of whom 27 (69.2%) were women and 12 (30.8%) men with a mean age of 55 years. The Cronbach α was high for organicity and tonicity (0.98 and 0.97, respectively). Interrater agreement (rwg) was moderate to very strong (rwg≥0.50) for most pathologies. The correlation between the 2 scales was moderate and negative (r = -0.38; P = .03). The pathologies were scattered across the full range of both scales and the 4 quadrants of the 2-dimensional plane, suggesting the continuity and bidimensionality of the new arrangement scheme. In addition, a latent profile analysis suggested that the 4-cluster solution is valid and roughly corresponded to the 4 quadrants of the constructed plane. Conclusions and Relevance: The findings of this survey study suggest the potential use of a 2-dimensional plane that was based on 2 continuous scales as a new arrangement scheme for voice disorders. The results suggest that this approach provides a valid representation of the field based on 2 basic measures beyond the specific etiology of each laryngeal pathology or condition. This simple and comprehensive organization scheme has the potential to facilitate new insights on the nature of voice pathologies, considering the interpathology similarities and differences.

Classification of voice disorder in children with cochlear implantation and hearing aid using multiple classifier fusion.

BACKGROUND: Speech production and speech phonetic features gradually improve in children by obtaining audio feedback after cochlear implantation or using hearing aids. The aim of this study was to develop and evaluate automated classification of voice disorder in children with cochlear implantation and hearing aids. METHODS: We considered 4 disorder categories in children's voice using the following definitions: Level_1: Children who produce spontaneous phonation and use words spontaneously and imitatively. Level_2: Children, who produce spontaneous phonation, use words spontaneously and make short sentences imitatively. Level_3: Children, who produce spontaneous phonations, use words and arbitrary sentences spontaneously. Level_4: Normal children without any hearing loss background. Thirty Persian children participated in the study, including six children in each level from one to three and 12 children in level four. Voice samples of five isolated Persian words "mashin", "mar", "moosh", "gav" and "mouz" were analyzed. Four levels of the voice quality were considered, the higher the level the less significant the speech disorder. "Frame-based" and "word-based" features were extracted from voice signals. The frame-based features include intensity, fundamental frequency, formants, nasality and approximate entropy and word-based features include phase space features and wavelet coefficients. For frame-based features, hidden Markov models were used as classifiers and for word-based features, neural network was used. RESULTS: After Classifiers fusion with three methods: Majority Voting Rule, Linear Combination and Stacked fusion, the best classification rates were obtained using frame-based and word-based features with MVR rule (level 1:100%, level 2: 93.75%, level 3: 100%, level 4: 94%). CONCLUSIONS: Result of this study may help speech pathologists follow up voice disorder recovery in children with cochlear implantation or hearing aid who are in the same age range.

Voice Reactivity as a Response to Acute Hypobaric Hypoxia at High Altitude.

BACKGROUND: Although the understanding of hypobaric hypoxia is increasing, it remains a hazard in aviation medicine. This study examined the feasibility of detecting voice markers sensitive to acute hypobaric hypoxia in an early presymptomatic (PRE-SYMP) stage.METHOD: Eight subjects qualified with hypobaric training completed a series of standardized speech tests in a hypobaric chamber at 20,000 ft and 25,000 ft (6096 and 7620 m) of altitude. Voice response patterns were analyzed in terms of fundamental frequency (F0), F0 range, and voice onset time (VOT). We hypothesized a PRE-SYMP compensatory stage in voice reactivity.RESULTS: There was a different dose-response reactivity course at 20,000 ft vs. 25,000 ft, nonlinear to altitude. At 20,000 ft, our hypothesis was confirmed. In comparison to sea level, a PRE-SYMP compensatory stage could be distinguished, characterized by a decreased F0 range, decreased VOT, and increased F0. During a transitional (TRANS) stage, in comparison with sea level, the F0-range reset, VOT decreased, and F0 increased. During a symptomatic (SYMP) stage, F0 increased, F0 range increased, and VOT decreased. At 25,000 ft, in comparison to sea level, voice reactivity showed increased F0 and F0 range and decreased VOT in a PRE-SYMP stage and increased F0 and F0 range in the SYMP stage.DISCUSSION: The compensatory PRE-SYMP stage is suggested to be the expression of ongoing bottom-up and top-down regulatory mechanisms, whereas the 25,000-ft results are interpreted as a combination of tonic and phasic voice reactivity. This tonic component needs to be foreseen in sea level baseline measures.Van Puyvelde M, Neyt X, Vanderlinden W, Van den Bossche M, Bucovaz T, De Winne T, Pattyn N. Voice reactivity as a response to acute hypobaric hypoxia at high altitude. Aerosp Med Hum Perform. 2020; 91(6):471-478.

Self-referred personal behavior profile of university professors: association with communicative and vocal self-evaluation. / Perfil de comportamento pessoal autorreferido por professores universitários: associação com a autoavaliação comunicativa e vocal.

PURPOSE: Describe the self-referred personal behavior profiles of university professors and verify the association of these profiles with the self-assessment of communicative aspects and vocal symptoms. METHODS: Study conducted with 334 professors at a public university who responded to an online questionnaire regarding voice use in teaching practice. Personal behavior profile classification was the response variable, which was divided into four types: pragmatic, analytical, expressive and affable. Explanatory variables were vocal self-perception, vocal resources, and communicative aspects. Descriptive data analysis was performed with application of the Pearson's Chi-squared and Fisher's Exact tests. RESULTS: University professors identified themselves more with the affable and expressive personal behavior profiles. Overall, professors presented good self-perception about vocal and communicative aspects, in addition to having reported few vocal symptoms. Profiles differed for some of the assessed variables, namely, pragmatic professors reported high speech velocity and sporadic eye contact; expressive professors demonstrated self-perception about their voice and strong voice intensity; those in the analytical profile self-reported negative perception about vocal quality, weak voice intensity, poor articulation and rapid speaking rate; the other professors mostly reported voice tiredness symptoms and difficulty projecting the voice. CONCLUSION: University professors identify themselves mostly with the affable and expressive profiles. Self-perception analysis of the personal behavior profile in university professors showed the influence of self-reported personality characteristics on communicative skills in the classroom.

OBJETIVO: Descrever o perfil de comportamento pessoal autorreferido por professores universitários, e verificar a associação destes perfis com a autoavaliação dos aspectos comunicativos e sintomas vocais. MÉTODO: Estudo realizado com 334 professores de uma universidade pública que responderam um questionário online referente ao uso da voz na docência. A variável resposta foi a classificação do perfil de comportamento pessoal, identificado em quatro tipos: pragmático, analítico, expressivo e afável, e as variáveis explicativas foram: autopercepção vocal, recursos vocais e aspectos comunicativos. Foi realizada a análise descritiva dos dados, além dos testes Quiquadrado de Pearson e Exato de Fisher. RESULTADOS: Os professores universitários se identificaram mais com os perfis de comportamento pessoal afável e expressivo. De forma geral, os docentes demonstraram boa autopercepção dos aspectos vocais e comunicativos, além de terem relatado poucos sintomas vocais. Os perfis se diferenciaram em algumas variáveis estudadas: o pragmático relatou velocidade de fala rápida e, às vezes, realizar contato de olhos; o expressivo demonstrou autopercepção positiva de sua voz e intensidade forte. Professores com perfil analítico autorreferiram percepção negativa da qualidade vocal, intensidade fraca, articulação ruim e velocidade de fala rápida e, entre os demais perfis, foi o que mais relatou sintomas de cansaço na voz e dificuldade para projetar a voz. CONCLUSÃO: Professores universitários se identificam predominantemente com os perfis afável e expressivo. A análise da autopercepção do perfil de comportamento pessoal em professores universitários mostra a influência das características da personalidade autorreferidas sobre as habilidades comunicativas em sala de aula.

Isolated Voice Tremor: A Clinical Variant of Essential Tremor or a Distinct Clinical Phenotype?

Background: The consensus statement by the Task Force on Tremor of the International Parkinson and Movement Disorder Society excludes individuals with "isolated voice tremor" as a clinical variant of essential tremor (ET). This clinical viewpoint presents a rationale for reconsideration of "isolated voice tremor" as a clinical variant of ET. Methods: Evidence from the literature was extracted to characterize the clinical phenotype of "isolated voice tremor," or essential vocal tremor (EVT). Clinical features were extracted from relevant literature available at pubmed.gov using the terms "EVT," "essential voice tremor," "primary voice tremor," and "organic voice tremor." Results: The average age of onset in those with EVT was older than 60 years (range 19-84 years), with 75-93% being female. The typical duration of vocal tremor ranged from 1 to 13 years (average 6 years). The distribution of structures exhibiting tremor included the larynx, soft palate, pharynx, and base of tongue in the majority of patients, with some exhibiting tremor of the head and respiratory musculature. The condition of tremor occurred during speech and quiet respiration in 74% of individuals. Rate of tremor ranged from 4 to 10 Hz. Nearly 70% reported onset of vocal tremor prior to upper limb involvement. Family history of tremor was reported in 38-42% of individuals. Discussion: Those previously classified with EVT demonstrate a similar familial history, rate, tremor classification, and body distribution of ET. EVT is proposed as a clinical variant of ET in the pattern of onset and progression of body distribution from the midline cranial to spinal neural pathways.

[Expiratory vocal cord dysfunction? Case report and review of the literature]. / Exspiratorische Vocal Cord Dysfunction? Falldarstellung und Literaturübersicht.

Wood and Milgrom defined vocal cord dysfunction (VCD) as paradoxical adduction of the vocal folds during inspiration or during inspiration and expiration. We describe the case of a patient with attacks of dyspnea with an isolated expiratory paradoxical adduction of the vocal folds. A review of the literature reveals many factors associated with VCD. Because of the similar risk factors and order of events concerning VCD, we believe that even expiratory laryngeal dysfunctions could be denoted as subtypes of VCD.

Quantification of Voice Type Components Present in Human Phonation Using a Modified Diffusive Chaos Technique.

PURPOSE: Signal typing has been used to categorize healthy and disordered voices; however, human voices are likely comprised of differing proportions of periodic type 1 elements, type 2 elements that are periodic with modulations, aperiodic type 3 elements, and stochastic type 4 elements. A novel diffusive chaos method is presented to detect the distribution of voice types within a signal with the goal of providing an objective and clinically useful tool for evaluating the voice. It was predicted that continuous calculation of the diffusive chaos parameter throughout the voice sample would allow for construction of comprehensive voice type component profiles (VTCP). METHODS: One hundred thirty-five voice samples of sustained /a/ vowels were randomly selected from the Disordered Voice Database Model 4337. All samples were classified according to the voice type paradigm using spectrogram analysis, yielding 34 type 1, 35 type 2, 42 type 3, and 24 type 4 voice samples. All samples were then analyzed using the diffusive chaos method, and VTCPs were generated to show the distribution of the 4 voice type components (VTC). RESULTS: The proportions of VTC1 varied significantly between the majority of the traditional voice types (P < .001). Three of the 4 VTCs of type 3 voices were significantly different from the VTCs of type 4 voices (P < .001). These results were compared to calculations of spectrum convergence ratio, which did not vary significantly between voice types 1 and 2 or 2 and 3. CONCLUSION: The diffusive chaos method demonstrates proficiency in generating comprehensive VTCPs for disordered voices with varying severity. In contrast to acoustic parameters that provide a single measure of disorder, VTCPs can be used to detect subtler changes by observing variations in each VTC over time. This method also provides the advantage of quantifying stochastic noise components that are due to breathiness in the voice.

[Assessment of voice in patients with Reinke's oedemas treated with laser microsurgery]. / Ocena glosu u chorych z obrzekami Reinkego leczonych operacyjnie z uzyciem lasera CO2.

This investigation was undertaken for perceptual and acoustic analysis of voice in patients with Reinke's oedemas treated with laser microsurgery. Material of the study included 45 patients in the age of 23 to 65 presenting to Foniatric Clinic with dysphonia in Reinke's oedemas. Patients were divided into 3 groups according to Yonakawa's classification of Reinke's oedemas. All patients were treated with CO2 laser microsurgery. Voice assessment was made subiectively with GRBAS scale and objectively using multidimensional voice parameters analysis (MDVP). The examination was undertaken preoperatively and 4 weeks after operation. The results of our study show relationship between quality of voice after surgery and the stage of evolution of Reinke's oedemas according to the applied classification.

Applied Chaos Level Test for Validation of Signal Conditions Underlying Optimal Performance of Voice Classification Methods.

Purpose: The purpose of this study is to introduce a chaos level test to evaluate linear and nonlinear voice type classification method performances under varying signal chaos conditions without subjective impression. Study Design: Voice signals were constructed with differing degrees of noise to model signal chaos. Within each noise power, 100 Monte Carlo experiments were applied to analyze the output of jitter, shimmer, correlation dimension, and spectrum convergence ratio. The computational output of the 4 classifiers was then plotted against signal chaos level to investigate the performance of these acoustic analysis methods under varying degrees of signal chaos. Method: A diffusive behavior detection-based chaos level test was used to investigate the performances of different voice classification methods. Voice signals were constructed by varying the signal-to-noise ratio to establish differing signal chaos conditions. Results: Chaos level increased sigmoidally with increasing noise power. Jitter and shimmer performed optimally when the chaos level was less than or equal to 0.01, whereas correlation dimension was capable of analyzing signals with chaos levels of less than or equal to 0.0179. Spectrum convergence ratio demonstrated proficiency in analyzing voice signals with all chaos levels investigated in this study. Conclusion: The results of this study corroborate the performance relationships observed in previous studies and, therefore, demonstrate the validity of the validation test method. The presented chaos level validation test could be broadly utilized to evaluate acoustic analysis methods and establish the most appropriate methodology for objective voice analysis in clinical practice.

Consensus-Based Attributes for Identifying Patients With Spasmodic Dysphonia and Other Voice Disorders.

Importance: A roadblock for research on adductor spasmodic dysphonia (ADSD), abductor SD (ABSD), voice tremor (VT), and muscular tension dysphonia (MTD) is the lack of criteria for selecting patients with these disorders. Objective: To determine the agreement among experts not using standard guidelines to classify patients with ABSD, ADSD, VT, and MTD, and develop expert consensus attributes for classifying patients for research. Design, Setting and Participants: From 2011 to 2016, a multicenter observational study examined agreement among blinded experts when classifying patients with ADSD, ABSD, VT or MTD (first study). Subsequently, a 4-stage Delphi method study used reiterative stages of review by an expert panel and 46 community experts to develop consensus on attributes to be used for classifying patients with the 4 disorders (second study). The study used a convenience sample of 178 patients clinically diagnosed with ADSD, ABSD, VT MTD, vocal fold paresis/paralysis, psychogenic voice disorders, or hypophonia secondary to Parkinson disease. Participants were aged 18 years or older, without laryngeal structural disease or surgery for ADSD and underwent speech and nasolaryngoscopy video recordings following a standard protocol. Exposures: Speech and nasolaryngoscopy video recordings following a standard protocol. Main Outcomes and Measures: Specialists at 4 sites classified 178 patients into 11 categories. Four international experts independently classified 75 patients using the same categories without guidelines after viewing speech and nasolaryngoscopy video recordings. Each member from the 4 sites also classified 50 patients from other sites after viewing video clips of voice/laryngeal tasks. Interrater κ less than 0.40 indicated poor classification agreement among rater pairs and across recruiting sites. Consequently, a Delphi panel of 13 experts identified and ranked speech and laryngeal movement attributes for classifying ADSD, ABSD, VT, and MTD, which were reviewed by 46 community specialists. Based on the median attribute rankings, a final attribute list was created for each disorder. Results: When classifying patients without guidelines, raters differed in their classification distributions (likelihood ratio, χ2 = 107.66), had poor interrater agreement, and poor agreement with site categories. For 11 categories, the highest agreement was 34%, with no κ values greater than 0.26. In external rater pairs, the highest κ was 0.23 and the highest agreement was 38.5%. Using 6 categories, the highest percent agreement was 73.3% and the highest κ was 0.40. The Delphi method yielded 18 attributes for classifying disorders from speech and nasolaryngoscopic examinations. Conclusions and Relevance: Specialists without guidelines had poor agreement when classifying patients for research, leading to a Delphi-based development of the Spasmodic Dysphonia Attributes Inventory for classifying patients with ADSD, ABSD, VT, and MTD for research.

Association Between Voice Handicap Index and Reflux Symptom Index: A cross-sectional study of undiagnosed general and teacher cohorts in Saudi Arabia.

OBJECTIVES: This study aimed to assess potential associations between self-reported symptoms of laryngopharyngeal reflux (LPR) and voice disorders among two undiagnosed cohorts in Saudi Arabia. METHODS: This cross-sectional study was conducted from February to April 2017 in Khobar, Saudi Arabia. Validated Arabic versions of the Reflux Symptom Index (RSI) and 10-item Voice Handicap Index (VHI-10) were distributed to 400 teachers at 13 schools and 300 members of the general population attending an ear, nose and throat clinic in Khobar. Scores of >13 and >11 on the RSI and VHI-10 indicated a potential subjective diagnosis of LPR and voice disorders, respectively. RESULTS: A total of 446 individuals took part in the study, including 260 members of the general population (response rate: 86.7%) and 186 teachers (response rate: 46.5%). The mean age was 32.5 years. In total, 62.2% complained of voice and/or reflux problems, with the remaining 37.8% not reporting/unaware of any problems in this regard. Among the teachers, 30.6% and 18.3% had positive RSI and VHI-10 scores, respectively, while 43.1% and 14.6% of the individuals from the general population had positive RSI and VHI-10 scores, respectively. Overall, VHI-10 scores were significantly associated with RSI scores (P <0.001). CONCLUSION: A significant association between RSI and VHI-10 scores suggests that there may be an association between LPR and voice disorders. These tools would therefore be a valuable method of monitoring patients; however, they cannot be used to confirm a diagnosis. Thus, more detailed studies are needed to confirm this association using a larger sample size.

Voice handicap evaluation of patients with pathologic sulcus vocalis.

OBJECTIVES: The purpose of this study was to characterize the psychosocial impact of dysphonia on patients with pathologic sulcus vocalis by use of the Voice Handicap Index (VHI). METHODS: The VHI was administered to 15 patients (11 women and 4 men) with pathologic sulcus vocalis. The VHI subscale and total scores were compared with previously published data from individuals with no history of dysphonia and from patients with vocal fold scar. Additional comparisons were performed for patients with unilateral sulcus versus bilateral sulci, type II sulcus versus type III sulcus, and sulcus with concomitant vocal fold scar versus sulcus without concomitant scar. RESULTS: The VHI scores for patients with pathologic sulcus vocalis were significantly greater than those for individuals with no history of dysphonia and for patients with vocal fold scar. In addition, significantly greater VHI scores were observed for patients with sulcus vocalis with concomitant scar versus those with sulcus alone. CONCLUSIONS: These data suggest that pathologic sulcus vocalis can be a severely handicapping condition, particularly in the presence of concomitant scar.

Quality of life and voice: study of a Brazilian population using the voice-related quality of life measure.

OBJECTIVE: The goal of the present study was to characterize a large population of Brazilian individuals using the Brazilian Portuguese version of the Voice-Related Quality of Life (V-RQOL) Measure. PATIENTS AND METHODS: We studied a population of 2,214 Brazilian subjects who completed the V-RQOL questionnaire consisting of 10 questions from two domains: physical functioning and social-emotional functioning. The subjects were divided into two groups according to the presence of vocal complaints: group 1, with vocal complaints (1,304 individuals); group 2, without vocal complaints (910 individuals). Subject age ranged from 14 to 90 years in both groups. All subjects self-rated their voice quality upon a five-point categorical scale ranging from poor to excellent. Moreover, the respondents' professions were classified into four categories according to their level of voice usage. RESULTS: Results indicate that the worse the self-assessment of the voice, the lower the V-RQOL scores, with higher significance in the group with vocal complaints. The total V-RQOL score was 97 for excellent voices, 92 for very good, 84 for good, 65 for fair, and 45 for poor voices. Main correlations for both groups were: total and physical scores (0.96), total and social-emotional scores (0.82); physical and social-emotional scores (0.69); self-assessment of the voice and total score (0.61); self-assessment of the voice and physical score (0.58), and self-assessment of the voice and social-emotional score (0.52). Two interesting negative correlations were found between age and self-assessment of the voice (-0.271), and age and social-emotional score (-0.184). Group 1, with vocal complaints, presented lower scores than group 2. CONCLUSIONS: The relationship between self-assessment of voice quality and V-RQOL scores was very clear and statistically significant, especially when considering the group with a known voice disorder.

Development of a modified diagnostic classification system for voice disorders with inter-rater reliability study.

Diversity in nomenclature and on-going dilemmas over the conceptual bases for the classification of voice disorders make it virtually impossible for the collation and accurate comparison of evidence-based data across different clinical settings. This has significant implications for treatment outcome studies. The first aim of this study was to develop a modified diagnostic classification system for voice disorders with clearly defined operational guidelines by which we might reliably distinguish voice disorders from one another. The second aim was to establish the face validity and reliability of the system as an effective diagnostic tool for the allocation of patients to different diagnostic groups for clinical and research purposes. After the Diagnostic Classification System for Voice Disorders (DCSVD) had been developed, it was used in an inter-rater reliability study for the independent assessment of 53 new consecutive patients referred to the Voice Analysis Clinics of three tertiary hospitals. There were three raters present for the assessment and diagnostic allocation of each patient. The high levels of inter-rater reliability suggest this may be a robust classification system that has good face validity and even at this early stage, strong construct validity.