RESUMEN
A 57-year-old male steel plant worker presented with fatigue and altered liver function tests. Over the next two years, he developed cognitive decline, parkinsonism and seizures. This paper reports the clinicopathological conference at the 37th Edinburgh Advanced Neurology Course 2015 and outlines what we can learn from this case.
Asunto(s)
Trastornos del Conocimiento/complicaciones , Trastornos Neurológicos de la Marcha/complicaciones , Infecciones por VIH/complicaciones , Enfermedad de Parkinson , Trastornos del Conocimiento/diagnóstico por imagen , Trastornos del Conocimiento/virología , Progresión de la Enfermedad , Trastornos Neurológicos de la Marcha/diagnóstico por imagen , Trastornos Neurológicos de la Marcha/virología , Infecciones por VIH/tratamiento farmacológico , Humanos , Masculino , Persona de Mediana Edad , Neuroimagen , Enfermedad de Parkinson/complicaciones , Enfermedad de Parkinson/etiología , Enfermedad de Parkinson/virología , Convulsiones/complicaciones , Convulsiones/diagnóstico por imagen , Acero , Esteroides/uso terapéuticoRESUMEN
We aimed to study the voice profiles of patients with Parkinson's disease (PD) and correlate the profiles with disease severity. A total of 133 patients with PD were recruited. Patients were divided into two groups: Group 1 with a Unified Parkinson's Disease Rating Scale (UPDRS) score of ≤45; and Group 2 with a UPDRS >45. Speech was analyzed using the Indian Speech and Hearing Association (ISHA) articulation assessment and Vaghmi software. A total of 87 patients (65.41%) reported a history of speech problems. Examination revealed slow reading speed (64.7% of patients), hoarseness of voice (60.2%), articulatory defect (39.8%) and jerky speech (32.3%) as common abnormalities. Misarticulation was most often observed among the labial (42.1%), followed by lingual and palatal syllables. The ISHA articulation test demonstrated significant differences in mean numbers of words distorted (p<0.001) and intelligible speech (p=0.004) between patients with early and advanced PD. Vaghmi software analysis (Speech and Voice Systems, Bangalore, India) also revealed significant difference between the two groups in maximum phonation duration (p=0.034), inability to phonate (noiseless speech, Z; p=0.002) and the mean noise-to-noiseless speech (S/Z) ratio (p=0.006).