Search

Your search keyword '"Koukouni, Vasiliki"' showing total 6 results
Start Over Author "Koukouni, Vasiliki"
6 results on '"Koukouni, Vasiliki"'

1. The natural history of multiple system atrophy: a prospective European cohort study

Author

Wenning, Gregor K, Geser, Felix, Krismer, Florian, Seppi, Klaus, Duerr, Susanne, Boesch, Sylvia, Köllensperger, Martin, Goebel, Georg, Pfeiffer, Karl P, Barone, Paolo, Pellecchia, Maria Teresa, Quinn, Niall P, Koukouni, Vasiliki, Fowler, Clare J, Schrag, Anette, Mathias, Christopher J, Giladi, Nir, Gurevich, Tanya, Dupont, Erik, Ostergaard, Karen, Nilsson, Christer F, Widner, Håkan, Oertel, Wolfgang, Eggert, Karla Maria, Albanese, Alberto, del Sorbo, Francesca, Tolosa, Eduardo, Cardozo, Adriana, Deuschl, Günther, Hellriegel, Helge, Klockgether, Thomas, Dodel, Richard, Sampaio, Cristina, Coelho, Miguel, Djaldetti, Ruth, Melamed, Eldad, Gasser, Thomas, Kamm, Christoph, Meco, Giuseppe, Colosimo, Carlo, Rascol, Olivier, Meissner, Wassilios G, Tison, François, and Poewe, Werner

Published
2013
Full Text
View/download PDF

3. Red flags for multiple system atrophy

Author

Köllensperger, Martin, Geser, Felix, Seppi, Klaus, Stampfer-Kountchev, Michaela, Sawires, Martin, Scherfler, Christoph, Boesch, Sylvia, Mueller, Joerg, Koukouni, Vasiliki, Quinn, Niall, Pellecchia, Maria Teresa, Barone, Paolo, Schimke, Nicole, Dodel, Richard, Oertel, Wolfgang, Dupont, Erik, stergaard, Karen, Daniels, Christine, Deuschl, Günther, Gurevich, Tanya, Giladi, Nir, Coelho, Miguel, Sampaio, Cristina, Nilsson, Christer, Widner, Håkan, Sorbo, Francesca Del, Albanese, Alberto, Cardozo, Adriana, Tolosa, Eduardo, Abele, Michael, Klockgether, Thomas, Kamm, Christoph, Gasser, Thomas, Djaldetti, Ruth, Colosimo, Carlo, Meco, Giuseppe, Schrag, Anette, Poewe, Werner, and Wenning, Gregor K.

Published
2008
Full Text
View/download PDF

5. Development and Validation of a Prognostic Model to Predict Overall Survival in Multiple System Atrophy.

Author

Eschlboeck S, Goebel G, Eckhardt C, Fanciulli A, Raccagni C, Boesch S, Djamshidian A, Heim B, Mahlknecht P, Mair K, Nachbauer W, Scherfler C, Stockner H, Poewe W, Seppi K, Kiechl S, Wenning G, Krismer F, Barone P, Pellecchia MT, Quinn NP, Fowler CJ, Schrag A, Giladi N, Gurevich T, Ostergaard K, Widner H, Oertel W, Albanese A, Tolosa E, Deuschl G, Klockgether T, Dodel R, Sampaio C, Melamed E, Gasser T, Colosimo C, Rascol O, Meissner W, Tison F, Geser F, Duerr S, Boesch S, Köllensperger M, Koukouni V, Mathias CJ, Dupont E, Nilsson CF, Eggert KM, Del Sorbo F, Cardozo A, Hellriegel H, Coelho M, Djaldetti R, Kamm C, and Meco G

Abstract

Background: Multiple system atrophy (MSA) is a devastating disease characterized by a variable combination of motor and autonomic symptoms. Previous studies identified numerous clinical factors to be associated with shorter survival., Objective: To enable personalized patient counseling, we aimed at developing a risk model of survival based on baseline clinical symptoms., Methods: MSA patients referred to the Movement Disorders Unit in Innsbruck, Austria, between 1999 and 2016 were retrospectively analyzed. Kaplan-Meier curves and multivariate Cox regression analysis with least absolute shrinkage and selection operator penalty for variable selection were performed to identify prognostic factors. A nomogram was developed to estimate the 7 years overall survival probability. The performance of the predictive model was validated and calibrated internally using bootstrap resampling and externally using data from the prospective European MSA Study Group Natural History Study., Results: A total of 210 MSA patients were included in this analysis, of which 124 patients died. The median survival was 7 years. The following clinical variables were found to significantly affect overall survival and were included in the nomogram: age at symptom onset, falls within 3 years of onset, early autonomic failure including orthostatic hypotension and urogenital failure, and lacking levodopa response. The time-dependent area under curve for internal and external validation was >0.7 within the first 7 years of the disease course. The model was well calibrated showing good overlap between predicted and actual survival probability at 7 years., Conclusion: The nomogram is a simple tool to predict survival on an individual basis and may help to improve counseling and treatment of MSA patients., (© 2023 The Authors. Movement Disorders Clinical Practice published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.)

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results