| Autor: |
Sofia Kakaizada, Annette M. Molinaro, Edward F. Chang, Nyle Almeida, Garret Kurteff, Mitchel S. Berger, Shawn L. Hervey-Jumper, Simon G Ammanuel |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Neuro Oncol |
| Popis: |
PURPOSE Impairments of speech are common in glioma patients and negatively impact health-related quality of life. The benchmark for clinical assessments is task-based measures that miss essential components of quality of life status. In this study, we test the hypothesis that variations in natural language (NL) correlate with health-related quality of life status. MATERIALS AND METHODS Natural language use was assessed using audio samples from 18 patients with newly diagnosed low- and high-grade gliomas collected unobtrusively. NL measures were correlated with the Quality of Life in Neurological Disorders (Neuro-QoL) outcomes at baseline. Spearman’s rank-order correlation was used to determine relationships between Neuro-QoL scores and NL measures. RESULTS Speech rate negatively correlated with functional domains of the Neuro-QoL (satisfaction with social roles: rho=-0.62, p=0.007; participate in social roles: rho=-0.74, p< 0.001;) while positively correlated with impairment domains(fatigue: rho=0.58, p=0.009). CONCLUSIONS Assessments of baseline natural language may be a useful tool in the context of treatment planning and monitoring outcomes. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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