Flyer

Journal of Neurology and Neuroscience

  • ISSN: 2171-6625
  • Journal h-index: 15
  • Journal CiteScore: 2.13
  • Journal Impact Factor: 1.45
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
20+ Million Readerbase
Indexed In
  • Open J Gate
  • Genamics JournalSeek
  • The Global Impact Factor (GIF)
  • China National Knowledge Infrastructure (CNKI)
  • Directory of Research Journal Indexing (DRJI)
  • OCLC- WorldCat
  • Proquest Summons
  • Scientific Journal Impact Factor (SJIF)
  • Euro Pub
  • Google Scholar
  • Secret Search Engine Labs
Share This Page

Short Communication - (2022) Volume 13, Issue 4

Does the unified Parkinson's disease rating scale adequately estimate severity of dysarthria?

Kristie A Spencer1*, Katherine A Brown2 and Gillian Elder1
 
1Department of Speech & Hearing Sciences, University of Washington, Seattle, WA 98105, USA
2Department of Communication Sciences and Disorders, Augustana College, Rock Island, IL 61201, USA
 
*Correspondence: Kristie A Spencer, Department of Speech & Hearing Sciences, University of Washington, Seattle, WA 98105, USA, Email:

Received: 25-Mar-2022, Manuscript No. ipjnn-22-12688; Editor assigned: 27-Mar-2022, Pre QC No. P-12688; Reviewed: 19-Apr-2022, QC No. Q-12688; Revised: 23-Apr-2022, Manuscript No. R-12688; Published: 30-Apr-2022

Abstract

Background: Speech decline is a common and detrimental complication of Parkinson’s disease (PD). The Unified Parkinson’s Disease Rating Scale (UPDRS) is typically used by the medical community to gauge the presence and severity of PD symptoms, including dysarthria. Accurately tracking the presence and severity of dysarthria has important implications for differential diagnosis, disease course, and therapeutic response.

Objectives: To determine the relationship between Movement Disorder Society (MDS) UPDRS ratings and gold standard speech intelligibility transcription scores.

Methods: Twenty-seven speakers with PD provided monologue speech samples. MDS-UPDRS ratings of speech were compared to average speech intelligibility scores attained by three naïve judges.

Results: MDS-UPDRS ratings and speech intelligibility calculations were significantly correlated.

Conclusion: The significant relationship between these two severity indicators provides preliminary evidence of criterion validity and suggests that the single MDS-UPDRS question is reflective of overall speech severity as determined by the gold standard of mean intelligibility transcription scores.

Keywords

Parkinson; Dysarthria; Speech; Intelligibility; UPDRS

Keywords

Parkinson; Dysarthria; Speech; Intelligibility; UPDRS

Introduction

Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by a heterogeneous spectrum of motor and non-motor characteristics [1]. Accurate measurement of the symptoms of PD is important for tracking disease progression and therapeutic response and is most often conducted using the Unified Parkinson’s Disease Rating Scale (UPDRS). This scale, first published in 1987, was revised in 2008 by the International Parkinson and Movement Disorder Society (MDS) [2,3]. At present, the MDS-UPDRS is the most widely used scale across clinical and research settings [4,5].

In both versions of the UPDRS scale, speech decline is captured with a single question. Speech disruption, or dysarthria, is highly prevalent in PD [6]. It leads to reduced speech intelligibility and has negative consequences for overall well-being and involvement in daily life, including social isolation [7-9]. The speech changes experienced by individuals with PD are variable in their nature and severity, and can differentially impact a wide array of subsystems, including respiration, phonation, articulation, and prosody. As such, detrimental and complex changes can be manifested in rate of speech, precision of articulation, voice quality, fluency, pitch variability, loudness level, and so forth [10].

There are few and conflicting reports about the ability of the UPDRS to accurately reflect the presence and severity of dysarthria [11-13]. In the dysarthria literature, speech intelligibility, or how understandable a speaker is to a listener, is often used as a proxy for speech severity [14]. To determine intelligibility levels, speaking passages are transcribed and the percent of understood words is determined by a naïve listener(s). Particularly in research settings, intelligibility is often calculated across speaking tasks as elicitation method is known to influence understandability in speakers with PD [15,16]. In contrast, the MDS-UPDRS question captures speech severity using a 5-point scale, representing no speech change or slight, mild, moderate, severe difficulty understanding speech [3].

It is unknown whether the UPDRS speech scale will parallel the more established, gold standard metric of intelligibility in its ability to represent speech decline in PD [17]. Thus, this study investigated the relationship between MDS-UPDRS speech ratings and speech intelligibility calculations. Given the negative impact of dysarthria to quality of life, it is important to understand whether a global speech rating is sufficiently sensitive to speech decline [7-9].

Additionally, early presence of dysarthria is more suggestive of atypical parkinsonian disorders underscoring the importance of accurate identification of dysarthria to the differential diagnosis process [18,19]. Finally, the potential of dysarthria and other axial motor symptoms to inform disease course, such as more rapid progression to dementia, has been reported, elevating the need to accurately capture this secondary motor symptom of PD [20-22].

Methods

Participants

Participants were 27 speakers with PD with an average age of 71.11 years and average disease duration of 9.06 years (Tab. 1). Inclusion criteria were an established diagnosis of PD by a neurologist with no other neurological complications (e.g., stroke, traumatic brain injury), presence of dysarthria without dyskinesias that would affect speech performance, minimum age of 50 years, and the ability to pass a vision, hearing, and depression screening. Participants were excluded for atypical Parkinsonism and young onset PD. All participants were in the ON medication state during examinations. Detailed participant characteristics are reported elsewhere [23].

Participant Age Sex Years of
Education
Disease
Duration
(Yrs)
Speech
Intelligibility
(100)
MDSUPDRS
Rating
01 77 M 20 12 87.67 3
02 80 M 18 8 89.00 1
03 68 F 17 16 88.00 1
04 69 M 19 8 87.00 2
05 70 M 16 8 81.33 3
06 76 M 16 18 95.67 1
07 74 M 16 15 93.00 2
08 66 F 17 9 88.33 2
09 73 M 16 8 94.00 1
10 67 M 16 6.5 96.00 1
11 63 M 16 4 100 1
12 66 M 18 17 99.00 1
13 70 M 16 13 97.33 0
14 73 M 15 2 94.67 1
15 69 F 17 1 98.67 1
16 80 M 16 11 97.33 1
17 76 F 18 4 95.00 0
18 71 F 21 7 96.67 1
19 65 F 22 8 97.67 1
20 81 F 18 20 96.67 1
21 62 M 18 7 99.00 1
22 64 M 14 4 85.33 1
23 60 M 16 4 89.00 0
24 73 F 16 6 95.67 1
25 72 M 18 10 93.67 1
26 75 M 13 11 94.33 2
27 80 F 18 10 97.00 2
Mean
(SD)
71.11
(5.78)
M=18
F=9
17.07
(1.92)
9.06
(4.82)
93.82
(4.87)
1.25
(2.75)

Tab. 1. Demographic and speech severity ratings across participants.

Procedure

Intelligibility calculations: A monologue was elicited by asking participants to talk about their job, their family or a vacation for approximately 60 seconds. Use of a monologue is considered best practice for its ecological validity and is recommended for speakers with PD and mild-moderate speech decline [16]. Samples were segmented into speech runs, which are operationally defined as a stretch of speech bounded by a silent period or pause between words of at least 200 milliseconds [24]. Each monologue was transcribed to identify the first 100-word speech run that did not contain proper nouns, formulaic phrases or specialty vocabulary [25]. An independent judge reassessed 15% of the speech run coding; interjudge reliability was 97.8%. Speech was recorded using a high-quality, head-mounted microphone (AKG C520) with a constant mouth-tomicrophone distance of two inches [23]. The microphone was connected to a portable digital speech recorder (Zoom H6, GU- ZOOMH6). All speech samples were recorded in a quiet environment with low ambient noise.

The transcribed, 100-word samples were then used for intelligibility scores. Transcriptions of the dysarthric speech were conducted by three naïve listeners to provide a mean intelligibility rating for each speaker with PD. Listeners were native English speakers without hearing loss.

Intelligibility scores were determined by counting the number of correctly identified words and dividing by the total of 100 words, using established transcription procedures [26]. Misspellings and homonyms were considered correct; synonyms or morphological variations were considered incorrect [26].

MDS-UPDRS calculations: UPDRS ratings were completed independently using the monologue speech samples by a MDS-UPDRS trained speech expert (first author) who was blinded to intelligibility scores.

Statistical analysis: Pearson correlation (bivariate analysis) was used to determine the relationship between MDS-UPDRS ratings and Intelligibility scores.

Results

As can be seen in Tab. 1, the mean of the intelligibility scores from the monologues was 93.82 (SD= 4.87) with scores ranging from 81.33 – 100%. MDS-UPDRS ratings, based on the monologues, averaged 1.25 (SD=2.75) and ranged from 0-3. Collectively, these indices suggest that the speakers with PD had mild to moderate speech impairment.

MDS-UPDRS ratings and speech intelligibility calculations were found to have a significant moderate negative correlation (r(25) = - 0.48, p =0.012). As illustrated in the scatter plot (Fig. 1), higher intelligibility scores were associated with lower (better) MDS-UPDRS ratings.

neurology-neuroscience-scatterplot

Fig 1: Scatterplot showing relationship between MDS-UPDRS scores and intelligibility scores.

Discussion

Neurologists and other medical professionals frequently use the comprehensive MDS-UPDRS to characterize and track severity and areas of decline in PD. As the domain of speech is represented with a single question within this measurement tool, it was uncertain whether UPDRS ratings would correspond with the more established severity metric of speech intelligibility. The significant relationship between these two severity indicators provides preliminary evidence of criterion validity and suggests that the MDSUPDRS 5-point scale is reflective of overall speech severity as determined by the gold standard of mean intelligibility scores. These findings align with current research suggesting that speech pathologist ratings of speech severity (normal, mild, moderate, severe, profound) were strongly associated with severity-surrogate measures of speech intelligibility, speaking rate, and listener effort [13]. Thus, clinicians can have increased confidence that the presence and progression of speech decline is sufficiently captured by the MDS-UPDRS speech scale.

Limitations

The current study is limited by a relatively small sample as well as restricted speech and disease severity. Studying a larger population of more severely impaired speakers would provide insight into whether speech intelligibility scores are influenced by the severity of PD and dysarthria.

Additionally, it is currently unknown whether UPDRS speech ratings and speech intelligibility scores are equally sensitive to change with treatment. Finally, it is important to understand how the UPDRS speech scale compares to the validity and reliability of similar rating scales, such as the Communication Effectiveness Survey [27].

Acknowledgments

This work was supported by the Washington State Parkinson Disease Registry and the Pat Tillman Foundation (author KB). The authors would like to thank Clare Friedlander for her contributions to the original study.

Author Roles

1. Author 1 (Spencer): Research project conception, design; Review and critique of statistical analysis, writing draft of manuscript.

2. Author 2 (Brown): Conception, design and execution of research project; Design and execution of statistical analysis; Review and critique of draft.

3. Author 3 (Elder): Execution of research project; Review and critique of statistical analysis and manuscript.

Disclosures

Funding sources and conflicts of interest:

No specific funding was received for this work. The authors declare that there are no conflicts of interest relevant to this work.

Financial disclosures for the previous 12 months:

Spencer: Received salary from the University of Washington and royalties from Medical Speech Language Pathology Book Series through Plural Publishing.

Brown: Received stipend from the University of Washington and salary from Augustana College.

Elder: Graduate student; no additional disclosures to report.

Ethical Compliance Statement

The University of Washington Institutional Review Board approved this study. Written consent was secured for all participants.

References

  1. Thenganatt MA, Jankovic J. Parkinson Disease Subtypes. JAMA Neurol. 2014;71(4):499-504.
  2. Google Scholar, Crossref, Indexed at

  3. Fahn S, Elton R, MotUD C. Unified Parkinson’s disease rating scale. In Fahn S, Marsden C, Calne D, Goldstein M, eds. Recent Development in Parkinson’s Disease. Florhan Park NJ, Macmillan Health Care Information. 1987;pp:153-164.
  4. Goetz CG, Tilley BC, Shaftman SR, et al. Movement Disorder Society-sponsored revision of the unified Parkinson’s disease rating scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov Disord. 2008;23(15):2129-2170. 
  5. Google Scholar, Crossref

  6. Tosin MHS, Stebbins GT, Comella C, et al. Does MDS-UPDRS provide greater sensitivity to mild disease than UPDRS in De Novo Parkinson’s disease? Mov Disord Clin Pract. 2021;8(7):1092-1099.
  7. Google Scholar, Crossref, Indexed at

  8. Rajan R, Brennan L, Bloem BR, et al. Integrated care in Parkinson’s disease: a systematic review and meta-analysis. Mov Disord. 2020;35(9):1509-1531.
  9. Google Scholar, Crossref, Indexed at

  10. Sapir S. Multiple factors are involved in the dysarthria associated with Parkinson's disease: a review with implications for clinical practice and research. J Speech Lang Hear Res. 2014;57(4):1330-1343.
  11. Google Scholar, Crossref, Indexed at

  12. Spencer KA, Friedlander C, Brown KA. Predictors of health-related quality of life and communicative participation in individuals with dysarthria from parkinson's disease. Int J Neurodegener Dis. 2020;3(1).
  13. Google Scholar, Crossref, Indexed at

  14. Mach H, Baylor C, Pompon RH, et al. Third-party disability in family members of people with communication disorders associated with Parkinson's disease. Topics Lang Dis. 2019;39(1):71-88.
  15. Google Scholar

  16. Karlsen KH, Tandberg E, Arsland D, et al. Health related quality of life in Parkinson's disease: a prospective longitudinal study. J Neurol Neurosurg Psychiatry. 2000;69:584-589.
  17. Google Scholar, Crossref, Indexed at

  18. Tjaden K. Speech and swallowing in Parkinson's disease. Topics Ger Rehab. 2008;24(2):115-126.
  19. Google Scholar, Crossref, Indexed at

  20. Martinez-Martin P, Gil-Nagel A., Gracia LM et al. Unified Parkinson’s Disease Rating Scale characteristics and structure. Mov Disord. 1994;9(1):76-83.
  21. Google Scholar, Crossref, Indexed at

  22. Richards M, Marder K, Cote L, et al. Inter-rater reliability of the Unified Parkinson’s Disease Rating Scale motor examination. Mov Disord. 1994;9(1):89-91.
  23. Google Scholar, Crossref, Indexed at

  24. Zraick RI, Dennie TM, Tabbal SD, et al. Reliability of speech intelligibility ratings using the Unified Parkinson Disease Rating Scale. J Med Speech Lang Pathol. 2003;11(4):227-240.
  25. Google Scholar, Indexed at

  26. Stipancic KL, Palmer KN, Rowe HP, et al. “You say severe, I say mild”: Toward an empirical classification of dysarthria severity. J Speech Lang Hear Res. 2021;64: 4718-4735.
  27. Google Scholar, Crossref

  28.  Sidtis DVL, Cameron K, Sidtis JJ. Dramatic effects of speech task on motor and linguistic planning in severely dysfluent parkinsonian speech. Clin Ling Phon. 2012;26(8):695-711.
  29. Google Scholar, Crossref, Indexed at

  30. Weir-Mayta P, Spencer KA, Eadie TL, et al. Internally versus externally cued speech in Parkinson's disease and cerebellar disease. Am J Speech Lang Pathol. 2017;26(2S):583-595.
  31. Google Scholar, Crossref, Indexed at

  32. Sussman JE, Tjaden K. Perceptual measures of speech from individuals with Parkinson’s disease and multiple sclerosis: Intelligibility and beyond. J Speech Lang Hear Res. 2012;55(4):1208-1219.
  33. Google Scholar, Crossref, Indexed at

  34. Kowalska-Taczanowska R, Friedman A, Koziorowski D. Parkinson's disease or atypical parkinsonism? The importance of acoustic voice analysis in differential diagnosis of speech disorders. Brain Behav. 2020;10(8):e01700.
  35. Google Scholar, Crossref, Indexed at

  36. Müller J, Wenning GK, Verny M, et al. Progression of dysarthria and dysphagia in postmortem-confirmed parkinsonian disorders. Arch Neurol. 2001;58(2):259-264.
  37. Google Scholar, Crossref, Indexed at

  38. Bugalho P, Viana-Baptista M. Predictors of cognitive decline in the early stages of Parkinson’s disease: A brief cognitive assessment longitudinal study. Parkin Dis. 2013;2019: 912037.
  39. Google Scholar, Crossref, Indexed at

  40. Elgh E, Domellöf M, Linder J, et al. Cognitive function in early Parkinson’s disease: A population-based study: Cognition in Parkinson. Euro J Neurol. 2009;16(12):1278-1284.
  41. Google Scholar, Crossref, Indexed at

  42. Schneider JS, Sendek S, Yang C. Relationship between motor symptoms, cognition, and demographic characteristics in treated mild/moderate Parkinson’s disease. PLos One. 2015;10(4):e0123231.
  43. Google Scholar, Crossref, Indexed at

  44. Brown KA, Spencer KA. The relationship between speech characteristics and motor subtypes of Parkinson’s disease. Am J Speech Lang Pathol. 2020;29(4):2145-2154.
  45. Google Scholar, Crossref, Indexed at

  46. Tjaden K, Wilding G. Effects of Speaking Task on Intelligibility in Parkinson's Disease. Clin Linguist Phon. 2011;25(2):155-168.
  47. Google Scholar, Crossref, Indexed at

  48. Sidtis D, Cameron K, Bonura L, et al. Speech intelligibility by listening in Parkinson speech with and without deep brain stimulation: Task effects. J Neuroling. 2011;25(2):121-132.
  49. Google Scholar, Crossref, Indexed at

  50. Bunton K, Keintz CK. The use of a dual-task paradigm for assessing speech intelligibility in clients with parkinson disease. J Med Speech Lang Pathol. 2008;16(3):141-155.
  51. Google Scholar, Indexed at

  52. Donovan NJ, Velozo C, Rosenbek JC. The communicative effectiveness survey: Investigating its item-level psychometric properties. J Med Speech Lang Pathol. 2007;15(4):433-447.
  53. Google Scholar, Indexed at