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Motor and psychiatric features in idiopathic blepharospasm: A data-driven cluster analysis

Authors :
Giovanni Defazio
Angelo F. Gigante
Mark Hallett
Alfredo Berardelli
Joel S. Perlmutter
Brian D. Berman
Joseph Jankovic
Tobias Bäumer
Cynthia Comella
Tommaso Ercoli
Gina Ferrazzano
Susan H. Fox
Han-Joon Kim
Emile Sami Moukheiber
Sarah Pirio Richardson
Anne Weissbach
Hyder A. Jinnah
Source :
Parkinsonism & Related Disorders. 104:94-98
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

Idiopathic blepharospasm is a clinically heterogeneous dystonia also characterized by non motor symptoms.We used a k-means cluster analysis to assess 188 patients with idiopathic blepharospasm in order to identify relatively homogeneous subpopulations of patients, using a set of motor and psychiatric variables to generate the cluster solution.Blepharospasm patients reached higher scores on scales assessing depressive- and anxiety-related disorders than healthy/disease controls. Cluster analysis suggested the existence of three groups of patients that differed by type of spasms, overall motor severity, and presence/severity of psychiatric problems. The greater severity of motor symptoms was observed in Group 1, the least severity in Group 3, while the severity of blepharospasm in Group 2 was between that observed in Groups 1 and 3. The three motor subtypes also differed by psychiatric features: the lowest severity of psychiatric symptoms was observed in the group with least severe motor symptoms (group 3), while the highest psychiatric severity scores were observed in group 2 that carried intermediate motor severity rather than in the group with more severe motor symptoms (group 1). The three groups did not differ by disease duration, age of onset, sex or other clinical features.The present study suggests that blepharospasm patients may be classified in different subtypes according to the type of spasms, overall motor severity and presence/severity of depressive symptoms and anxiety.

Details

ISSN :
13538020
Volume :
104
Database :
OpenAIRE
Journal :
Parkinsonism & Related Disorders
Accession number :
edsair.doi.dedup.....0dadabada10cfeedaf6d2a17d1ef0a93