Background: The Dysphonia Severity Index (DSI) is an objective multiparametric acoustic calculation of vocal function; however, its changes after thyroidectomy have not yet been described.
Methods: Patient-reported symptoms, as well as auditory perceptual, acoustic, and videolaryngostroboscopic (VLS) data, were collected prospectively before and after thyroidectomy. Voice outcomes (normal versus negative voice outcome [NVO]) at 6 months after thyroidectomy were based on a combination of voice symptoms and objective findings. The DSI was assessed over the peri-operative course, and differences were determined with Wilcoxon signed rank tests. The DSI was compared between study groups (normal versus NVO) using t tests, analyses of variance (ANOVAs), or rank sum tests as appropriate. The predictive value of DSI for long-term voice dysfunction was assessed by an area under the receiver operating characteristics curve analysis. Correlations between DSI and Consensus Auditory Perceptual Ratings of Voice (CAPE-V) and the patient reported Voice Handicap Index (VHI) were determined with Pearson's correlation coefficients.
Results: In all, 62 patients were evaluated before, 1-4 weeks after, and 6 months after thyroidectomy. Eight (13%) patients were diagnosed with NVO at 6 months. The DSI was different postoperatively between NVO and normal voice (P=.005, repeated measures [RM]-ANOVA), with the NVO group demonstrating a lesser DSI value and greater change from pre-operative assessment at the first postoperative visit when compared with the normal group (P<.006 each). The DSI differed significantly for pre-operative and 6-month assessments according to sex, smoking status, and age. Short-term postoperative DSI (area under the curve [AUC]=0.795) and DSI change from baseline to 1-4 weeks (AUC=0.835) were highly predictive of 6-month NVO. DSI measurements over the post-thyroidectomy course were correlated poorly to moderately (maximum r = -0.62) with CAPE-V and VHI assessments for the same time points.
Conclusion: The DSI is decreased in the early post-thyroidectomy period, mostly in persons who were ultimately found to have a long-term NVO. Early postoperative DSI and change of DSI from baseline at 1--4 weeks postoperation predict long-term post-thyroidectomy voice dysfunction. The modest correlations between the DSI and other vocal assessments point to the utility of DSI as an independent predictor of voice dysfunction after thyroidectomy, which can select patients who may benefit from voice therapy.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.surg.2009.11.017 | DOI Listing |
Niger Med J
January 2025
Department of Clinical Services, National Ear Care Centre, Kaduna, Nigeria.
Background: Benign laryngeal lesions, characterized by non-cancerous growths in the larynx, significantly impact voice quality and respiratory function. These lesions, which include vocal cord polyps, nodules, papillomas, and cysts, often result from factors such as vocal abuse, viral infections, and chronic inflammation. While studies on benign laryngeal lesions are well-documented globally, data specific to Northern Nigeria remains sparse.
View Article and Find Full Text PDFPatient
January 2025
Pfizer, New York City, NY, USA.
Using patient preference information (PPI) to incorporate patient voices into the drug development lifecycle can help align therapies with the needs and values of patients. However, several barriers have limited the use of PPI, including a lack of clarity on its use by decision-makers, a need for greater decision-maker trust in PPI, and a lack of time, budgets, and access to specialist expertise. The value proposition for PPI could be enhanced by making it FAIR: Findable, Accessible, Interoperable, and Reusable.
View Article and Find Full Text PDFLancet Reg Health West Pac
January 2025
Department of Medicine, National University of Singapore, Yong Loo Lin School of Medicine, Singapore, Singapore.
Background: Little is known about the practices and resources employed by general practitioners (GPs) in Singapore to manage late-life depression. As the country is stepping up its efforts to promote collaborative care across community mental health and geriatric care, understanding GPs' current practices when managing late-life depression appears timely.
Methods: This qualitative descriptive study explored the perspectives on late-life depression of 28 private GPs practicing in Singapore through online semi-structured group and individual interviews.
Pak J Med Sci
January 2025
Dr. Ayesha Babar Kawish, MSPH Al-Shifa School of Public Health, Al-Shifa Trust, Rawalpindi, Pakistan.
Background & Objectives: Poor medication adherence is an essential contributor to Pakistan's high prevalence of uncontrolled hypertension. This study will be aimed to assess the efficacy of a one-of-a-kind developed intervention in improving medication adherence and treatment outcomes in hypertension patients.
Methods: Twleve months duration long randomized controlled trial from January to December 2021 will be carried out at Shaikh Zayed Medical Complex (SZMC), Lahore.
Digit Health
January 2025
Independent Researcher, Calgary, Alberta, Canada.
Digital health (DH) and artificial intelligence (AI) in healthcare are rapidly evolving but were addressed synonymously by many healthcare authorities and practitioners. A deep understanding and clarification of these concepts are fundamental and a prerequisite for developing robust frameworks and practical guidelines to ensure the safety, efficacy, and effectiveness of DH solutions and AI-embedded technologies. Categorizing DH into technologies (DHTs) and services (DHSs) enables regulatory, HTA, and reimbursement bodies to develop category-specific frameworks and guidelines for evaluating these solutions effectively.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!