INVESTIGADORES
PEREZ LLORET Santiago
congresos y reuniones científicas
Título:
84. Electrochemical skin conductance as a marker of autonomic failure inpatients with Multiple System Atrophy
Autor/es:
SANTIAGO PÉREZ LLORET; ANNE PAVY
Reunión:
Congreso; 24th International Congress of Parkinson?s Disease and Movement Disorders; 2020
Resumen:
Introduction Multiple System Atrophy (MSA) is a rare neurodegenerative disabling disease combining poorly levodopa-responsive parkinsonism, cerebellar ataxia and autonomic failure (AF). Severe cardiovascular AF is associated with poor prognosis. Since sweating dysfunction is less well known, we investigated the interest of a quick and non-invasive assessment of sweating as a marker of AF in MSA. Methods 129 patients of the French Reference center for MSA with an annual follow-up including the Unified MSA Rating Scale (UMSARS) and measurements of electrochemical skin conductance (ESC) of feet and hands participated to this study. Sixty-seven patients had annual follow-up data (mean±SD follow-up was 29.2±18.0 months). Statistical analysis included: (i)correlations between ESC and MSA type, age, disease duration, BP (supine and standing), autonomic symptoms (COMPASS), (ii) comparisons between groups with normal or abnormal ESC, and (iii) multivariate analysis by logistic regression. Relationship between MSA severity progression during follow-up with ESC and other variables were modeled by Generalized Estimating Equation (GEE). ResultsFeet or hand ESC were abnormal at the first visit in 72 (57%) and 103 (81%) patients. Abnormal ESC were related to greater systolic BP fall upon standing and UMSARS II scores. Significant and independent predictors of worsening were female gender, a probable diagnosis, longer disease duration and lower feet and hand ESC. Abnormal ESC baseline values were significant predictors of future worsening independently from other factors.ConclusionFeet and skin ESC were significantly related to MSA severity and orthostatic hypotension. Furthermore, baseline ESC results could predict more severe disease progression.