Cognitive and motor profiles as prodromal markers in predicting phenoconversion and phenotype in isolated REM sleep behavior disorder

被引:2
作者
Zhang, Xuan [1 ]
Liang, Danqi [2 ]
Ma, Li [2 ]
Huang, Yaqin [2 ]
Wan, Yahui [1 ]
Zhou, Kaili [1 ]
Xu, Lin [2 ]
Wu, Wei [2 ,3 ]
Xue, Rong [1 ,2 ,3 ,4 ]
Zhang, Nan [1 ,2 ,3 ,4 ]
机构
[1] Tianjin Med Univ Gen Hosp Airport Site, Dept Neurol, Tianjin, Peoples R China
[2] Tianjin Med Univ Gen Hosp, Dept Neurol, Tianjin, Peoples R China
[3] Tianjin Med Univ Gen Hosp, Tianjin Neurol Inst, Tianjin, Peoples R China
[4] Tianjin Med Univ Gen Hosp, Dept Neurol, Tianjin 300052, Peoples R China
关键词
Isolated REM sleep behavior disorder; Neurodegenerative disorders; Phenoconversion; Biomarkers; Cognitive function; Motor function; PARKINSONS-DISEASE; DIAGNOSIS; NEURODEGENERATION; IMPAIRMENT; MANAGEMENT;
D O I
10.1016/j.sleep.2023.10.027
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective: To determine the clinical markers based on cognitive and motor profiles in predicting phenoconverion and phenotype in isolated rapid eye movement sleep behavior disorder (iRBD). Methods: 45 iRBD patients and 25 healthy controls were included in the follow-up study. All participates received comprehensive evaluations of cognitive, motor and autonomic function at baseline. Positive phenoconversion were identified according to standard diagnostic criteria during follow-up. Results: 21 iRBD patients displayed phenoconversion in a mean follow-up of 2.9 +/- 1.6 years, with 14 presenting motor phenotype and 7 cognitive phenotype. In iRBD, visuospatial, memory, attention-executive function, information processing speed, and motor function predicted phenoconversion, with the combination of Trail Making Test (TMT) and Alternate-tap Test (ATT) performing best (sensitivity = 95.0 %, specificity = 75.0 %); attention-executive function, information processing speed, and motor function predicted motor phenotype conversion, with the combination of TMT and ATT performing best (sensitivity = 100 %, specificity = 66.7 %); visuospatial, memory, and attention-executive function predicted cognitive phenotype conversion, with TMT performing best (sensitivity = 83.3 %, specificity = 91.7 %). Furthermore, individuals with lower z-scores of TMT, Symbol Digit Modalities Test, and ATT than the established cutoff values in iRBD exhibited a significantly higher risk for phenoconversion at follow-up (HR = 2.98, 9.53, 11.68; respectively). Conclusions: In iRBD, the attention-executive and motor function served as optimum combined markers in predicting phenoconversion and motor phenotype, whereas the attention-executive function performed best in predicting cognitive phenotype. Poor attention-executive function, information processing speed and motor function in iRBD independently increased the risk of phenoconversion.
引用
收藏
页码:262 / 272
页数:11
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