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

被引:6
|
作者
Defazio, Giovanni [1 ]
Gigante, Angelo F. [2 ]
Hallett, Mark [3 ]
Berardelli, Alfredo [4 ,5 ]
Perlmutter, Joel S. [6 ]
Berman, Brian D. [7 ]
Jankovic, Joseph [8 ]
Baumer, Tobias [9 ]
Comella, Cynthia [10 ]
Ercoli, Tommaso [1 ]
Ferrazzano, Gina [4 ]
Fox, Susan H. [11 ]
Kim, Han-Joon [12 ,13 ]
Moukheiber, Emile Sami [14 ]
Richardson, Sarah Pirio [15 ]
Weissbach, Anne [8 ,9 ,16 ]
Jinnah, Hyder A. [17 ]
机构
[1] Univ Cagliari, Dept Med Sci & Publ Hlth, Cagliari, Italy
[2] San Paolo Hosp, Sect Neurol, Bari, Italy
[3] NINDS, Human Motor Control Sect, NIH, Bldg 36,Rm 4D04, Bethesda, MD 20892 USA
[4] Sapienza Univ Rome, Dept Human Neurosci, Rome, Italy
[5] IRCCS NEUROMED, Pozzilli, Italy
[6] Washington Univ, Occupat Therapy, Phys Therapy, Neurol,Radiol,Neurosci, St Louis, MO 63110 USA
[7] Virginia Commonwealth Univ, Richmond, VA USA
[8] Baylor Coll Med, Parkinsons Dis Ctr & Movement Disorders Clin, Dept Neurol, Houston, TX 77030 USA
[9] Univ Lubeck, Inst Syst Motor Sci, Lubeck, Germany
[10] Rush Univ, Med Ctr, New Philadelphia, OH USA
[11] Univ Toronto, Toronto Western Hosp, Krembil Brain Inst, Toronto, ON, Canada
[12] Seoul Natl Univ Hosp, Dept Neurol, Seoul, South Korea
[13] Seoul Natl Univ Hosp, Movement Disorder Ctr, Seoul, South Korea
[14] Johns Hopkins Univ, Dept Neurol, Baltimore, MD 21218 USA
[15] Univ New Mexico, Dept Neurol, Albuquerque, NM 87131 USA
[16] Univ Lubeck, Inst Neurogenet, Lubeck, Germany
[17] Emory Univ, Dept Neurol & Human Genet, Atlanta, GA 30322 USA
关键词
Blepharospasm; Depression; Anxiety; Cluster analysis; VALIDATION; DYSTONIA;
D O I
10.1016/j.parkreldis.2022.10.008
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Introduction: Idiopathic blepharospasm is a clinically heterogeneous dystonia also characterized by non motor symptoms.Methods: 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.Results: Blepharospasm patients reached higher scores on scales assessing depressive-and anxiety-related dis-orders 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.Conclusions: The present study suggests that blepharospasm patients may be classified in different subtypes ac-cording to the type of spasms, overall motor severity and presence/severity of depressive symptoms and anxiety.
引用
收藏
页码:94 / 98
页数:5
相关论文
共 50 条
  • [1] Factor analysis and clustering of motor and psychiatric dimensions in idiopathic blepharospasm
    Gigante, Angelo F.
    Hallett, Mark
    Jinnah, Hyder A.
    Berardelli, Alfredo
    Perlmutter, Joel S.
    Berman, Brian D.
    Jankovic, Joseph
    Baeumer, Tobias
    Comella, Cynthia
    Ercoli, Tommaso
    Belvisi, Daniele
    Fox, Susan H.
    Kim, Han-Joon
    Moukheiber, Emile Sami
    Richardson, Sarah Pirio
    Weissbach, Anne
    Muroni, Antonella
    Defazio, Giovanni
    PARKINSONISM & RELATED DISORDERS, 2025, 131
  • [2] Nocturnal sleep phenotypes in idiopathic hypersomnia - A data-driven cluster analysis
    Baier, Paul Christian
    Sahlstrom, Hildur
    Markstrom, Agneta
    Furmark, Tomas
    Bothelius, Kristoffer
    SLEEP MEDICINE, 2024, 124 : 127 - 133
  • [3] Clinical heterogeneity in patients with idiopathic blepharospasm: A cluster analysis
    Defazio, G.
    Conte, A.
    Gigante, A. F.
    Ferrazzano, G.
    Pellicciari, R.
    Dagostino, S.
    Fabbrini, G.
    Berardelli, A.
    PARKINSONISM & RELATED DISORDERS, 2017, 40 : 64 - 68
  • [4] Subgroups of children with Kawasaki disease: a data-driven cluster analysis
    Wang, Hao
    Shimizu, Chisato
    Bainto, Emelia
    Hamilton, Shea
    Jackson, Heather R.
    Estrada-Rivadeneyra, Diego
    Kaforou, Myrsini
    Levin, Michael
    Pancheri, Joan M.
    Dummer, Kirsten B.
    Tremoulet, Adriana H.
    Burns, Jane C.
    LANCET CHILD & ADOLESCENT HEALTH, 2023, 7 (10): : 697 - 707
  • [5] Data-Driven Approaches to Neuroimaging Analysis to Enhance Psychiatric Diagnosis and Therapy
    Zhang, Xiaolong
    Braun, Urs
    Tost, Heike
    Bassett, Danielle S.
    BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING, 2020, 5 (08) : 780 - 790
  • [6] Data-driven questionnaire based cluster analysis of asthma in Swedish adults
    Kisiel, Marta Alina
    Zhou, Xingwu
    Sundh, Josefin
    Stallberg, Bjorn
    Lisspers, Karin
    Malinovschi, Andrei
    Sandelowsky, Hanna
    Montgomery, Scott
    Nager, Anna
    Janson, Christer
    EUROPEAN RESPIRATORY JOURNAL, 2020, 56
  • [7] Anthropometric metabolic subtypes and health outcomes: A data-driven cluster analysis
    Ding, Li
    Fan, Yuxin
    Yang, Xiaoyun
    Chang, Lina
    Wang, Jiaxing
    Ma, Xiaohui
    He, Qing
    Hu, Gang
    Liu, Ming
    DIABETES OBESITY & METABOLISM, 2025,
  • [8] A data-driven typology of asthma medication adherence using cluster analysis
    Tibble, Holly
    Chan, Amy
    Mitchell, Edwin A.
    Horne, Elsie
    Doudesis, Dimitrios
    Horne, Rob
    Mizani, Mehrdad A.
    Sheikh, Aziz
    Tsanas, Athanasios
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [9] Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
    Salvatori, Benedetta
    Wegener, Silke
    Kotzaeridi, Grammata
    Herding, Annika
    Eppel, Florian
    Dressler-Steinbach, Iris
    Henrich, Wolfgang
    Piersanti, Agnese
    Morettini, Micaela
    Tura, Andrea
    Goebl, Christian S.
    DIABETOLOGIA, 2024, 67 (08) : 1552 - 1566
  • [10] Novel subgroups of obesity and their association with outcomes: a data-driven cluster analysis
    Takeshita, Saki
    Nishioka, Yuichi
    Tamaki, Yuko
    Kamitani, Fumika
    Mohri, Takako
    Nakajima, Hiroki
    Kurematsu, Yukako
    Okada, Sadanori
    Myojin, Tomoya
    Noda, Tatsuya
    Imamura, Tomoaki
    Takahashi, Yutaka
    BMC PUBLIC HEALTH, 2024, 24 (01)