Background: This study aimed to explore the potential associations between voice metrics of patients with PD and their motor symptoms.
Methods: Motor and vocal data including the Unified Parkinson's Disease Rating Scale part III (UPDRS-III), Harmonic-Noise Ratio (HNR), jitter, shimmer, and smoothed cepstral peak prominence (CPPS) were analyzed through exploratory correlations followed by univariate linear regression analyses. We employed these four voice metrics as independent variables and the total and sub-scores of the UPDRS-III as dependent variables.
Results: Thirteen subjects were included, 76% males and 24% females, with a mean age of 62.9 ± 10.1 years, and a median Hoehn and Yahr stage of 2.3 ± 0.7. The regression analysis showed that CPPS is associated with posture (UPDRS-III posture scores: β = -0.196; F = 10.0; = 0.01; R = 0.50) and UPDRS-III postural stability scores (β = -0.130; F = 5.57; = 0.04; R = 0.35). Additionally, the associations between CPPS and rapid alternating movement (β = -0.297; = 0.07), rigidity (β= -0.36; = 0.11), and body bradykinesia (β = -0.16; = 0.13) showed a trend towards significance.
Conclusion: These findings highlight the potential role of CPPS as a predictor of postural impairments secondary to PD, emphasizing the need for further investigation.
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http://dx.doi.org/10.3390/life15010027 | DOI Listing |
Life (Basel)
December 2024
Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, 1575 Cambridge Street, Cambridge, MA 02115, USA.
Background: This study aimed to explore the potential associations between voice metrics of patients with PD and their motor symptoms.
Methods: Motor and vocal data including the Unified Parkinson's Disease Rating Scale part III (UPDRS-III), Harmonic-Noise Ratio (HNR), jitter, shimmer, and smoothed cepstral peak prominence (CPPS) were analyzed through exploratory correlations followed by univariate linear regression analyses. We employed these four voice metrics as independent variables and the total and sub-scores of the UPDRS-III as dependent variables.
J Am Acad Orthop Surg
January 2025
From the Department of Orthopaedic Surgery, Stanford University, Stanford, CA (Schultz), Department of Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA (Zhuang), Department of Orthopaedic Surgery, University of California-San Francisco, San Francisco, CA (Shapiro), Department of Orthopaedic Surgery, VOICES Health Policy Research Center, Stanford University, Stanford, CA (Kamal).
Background: Social drivers of health (SDOH) are area-level, nonmedical factors that affect health outcomes. By contrast, health-related social needs (HRSNs) are individual patient reported and are being deployed in some payment models. SDOH are often used to broadly represent health disparities of communities through metrics, such as the Social Vulnerability Index (SVI); however, the association of area-level SVI to individual HRSNs has not been well studied in hand surgery, which has implications for addressing social risks to improve health and in quality measurement.
View Article and Find Full Text PDFRes Dev Disabil
January 2025
Laboratory of Observation, Diagnosis, and Education, Department of Psychology and Cognitive Science - University of Trento, Via Matteo del Ben, 5B, Rovereto, TN 38068, Italy. Electronic address:
Background: Computational approaches hold significant promise for enhancing diagnosis and therapy in child and adolescent clinical practice. Clinical procedures heavily depend n vocal exchanges and interpersonal dynamics conveyed through speech. Research highlights the importance of investigating acoustic features and dyadic interactions during child development.
View Article and Find Full Text PDFNature
January 2025
Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, China.
The amount of methane released to the atmosphere from the Nord Stream subsea pipeline leaks remains uncertain, as reflected in a wide range of estimates. A lack of information regarding the temporal variation in atmospheric emissions has made it challenging to reconcile pipeline volumetric (bottom-up) estimates with measurement-based (top-down) estimates. Here we simulate pipeline rupture emission rates and integrate these with methane dissolution and sea-surface outgassing estimates to model the evolution of atmospheric emissions from the leaks.
View Article and Find Full Text PDFBackground: The Wound Care Collaborative Community (WCCC) assesses shortcomings and unmet needs in wound care by partnering with key stakeholders, such as the National Institutes of Health, the US Food and Drug Administration (FDA), industry leaders, and expert health care providers and researchers, to advance the study of wound healing. Through this work, the WCCC has identified a few key barriers to innovation in wound care. The WCCC aims to accelerate the development of science-based, patient-centered solutions and address public policy challenges related to ensuring patients receive early access to innovative treatment options.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!