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Tremor stability index: a new tool for differential diagnosis in tremor syndromes

Misdiagnosis among tremor syndromes is common, and can impact on both clinical care and research. To date no validated neurophysiological technique is available that has proven to have good classification performance, and the diagnostic gold standard is the clinical evaluation made by a movement dis...

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Autores principales: di Biase, Lazzaro, Brittain, John-Stuart, Shah, Syed Ahmar, Pedrosa, David J., Cagnan, Hayriye, Mathy, Alexandre, Chen, Chiung Chu, Martín-Rodríguez, Juan Francisco, Mir, Pablo, Timmerman, Lars, Schwingenschuh, Petra, Bhatia, Kailash, Di Lazzaro, Vincenzo, Brown, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493195/
https://www.ncbi.nlm.nih.gov/pubmed/28459950
http://dx.doi.org/10.1093/brain/awx104
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author di Biase, Lazzaro
Brittain, John-Stuart
Shah, Syed Ahmar
Pedrosa, David J.
Cagnan, Hayriye
Mathy, Alexandre
Chen, Chiung Chu
Martín-Rodríguez, Juan Francisco
Mir, Pablo
Timmerman, Lars
Schwingenschuh, Petra
Bhatia, Kailash
Di Lazzaro, Vincenzo
Brown, Peter
author_facet di Biase, Lazzaro
Brittain, John-Stuart
Shah, Syed Ahmar
Pedrosa, David J.
Cagnan, Hayriye
Mathy, Alexandre
Chen, Chiung Chu
Martín-Rodríguez, Juan Francisco
Mir, Pablo
Timmerman, Lars
Schwingenschuh, Petra
Bhatia, Kailash
Di Lazzaro, Vincenzo
Brown, Peter
author_sort di Biase, Lazzaro
collection PubMed
description Misdiagnosis among tremor syndromes is common, and can impact on both clinical care and research. To date no validated neurophysiological technique is available that has proven to have good classification performance, and the diagnostic gold standard is the clinical evaluation made by a movement disorders expert. We present a robust new neurophysiological measure, the tremor stability index, which can discriminate Parkinson’s disease tremor and essential tremor with high diagnostic accuracy. The tremor stability index is derived from kinematic measurements of tremulous activity. It was assessed in a test cohort comprising 16 rest tremor recordings in tremor-dominant Parkinson’s disease and 20 postural tremor recordings in essential tremor, and validated on a second, independent cohort comprising a further 50 tremulous Parkinson’s disease and essential tremor recordings. Clinical diagnosis was used as gold standard. One hundred seconds of tremor recording were selected for analysis in each patient. The classification accuracy of the new index was assessed by binary logistic regression and by receiver operating characteristic analysis. The diagnostic performance was examined by calculating the sensitivity, specificity, accuracy, likelihood ratio positive, likelihood ratio negative, area under the receiver operating characteristic curve, and by cross-validation. Tremor stability index with a cut-off of 1.05 gave good classification performance for Parkinson’s disease tremor and essential tremor, in both test and validation datasets. Tremor stability index maximum sensitivity, specificity and accuracy were 95%, 95% and 92%, respectively. Receiver operating characteristic analysis showed an area under the curve of 0.916 (95% confidence interval 0.797–1.000) for the test dataset and a value of 0.855 (95% confidence interval 0.754–0.957) for the validation dataset. Classification accuracy proved independent of recording device and posture. The tremor stability index can aid in the differential diagnosis of the two most common tremor types. It has a high diagnostic accuracy, can be derived from short, cheap, widely available and non-invasive tremor recordings, and is independent of operator or postural context in its interpretation.
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spelling pubmed-54931952017-07-01 Tremor stability index: a new tool for differential diagnosis in tremor syndromes di Biase, Lazzaro Brittain, John-Stuart Shah, Syed Ahmar Pedrosa, David J. Cagnan, Hayriye Mathy, Alexandre Chen, Chiung Chu Martín-Rodríguez, Juan Francisco Mir, Pablo Timmerman, Lars Schwingenschuh, Petra Bhatia, Kailash Di Lazzaro, Vincenzo Brown, Peter Brain Article Misdiagnosis among tremor syndromes is common, and can impact on both clinical care and research. To date no validated neurophysiological technique is available that has proven to have good classification performance, and the diagnostic gold standard is the clinical evaluation made by a movement disorders expert. We present a robust new neurophysiological measure, the tremor stability index, which can discriminate Parkinson’s disease tremor and essential tremor with high diagnostic accuracy. The tremor stability index is derived from kinematic measurements of tremulous activity. It was assessed in a test cohort comprising 16 rest tremor recordings in tremor-dominant Parkinson’s disease and 20 postural tremor recordings in essential tremor, and validated on a second, independent cohort comprising a further 50 tremulous Parkinson’s disease and essential tremor recordings. Clinical diagnosis was used as gold standard. One hundred seconds of tremor recording were selected for analysis in each patient. The classification accuracy of the new index was assessed by binary logistic regression and by receiver operating characteristic analysis. The diagnostic performance was examined by calculating the sensitivity, specificity, accuracy, likelihood ratio positive, likelihood ratio negative, area under the receiver operating characteristic curve, and by cross-validation. Tremor stability index with a cut-off of 1.05 gave good classification performance for Parkinson’s disease tremor and essential tremor, in both test and validation datasets. Tremor stability index maximum sensitivity, specificity and accuracy were 95%, 95% and 92%, respectively. Receiver operating characteristic analysis showed an area under the curve of 0.916 (95% confidence interval 0.797–1.000) for the test dataset and a value of 0.855 (95% confidence interval 0.754–0.957) for the validation dataset. Classification accuracy proved independent of recording device and posture. The tremor stability index can aid in the differential diagnosis of the two most common tremor types. It has a high diagnostic accuracy, can be derived from short, cheap, widely available and non-invasive tremor recordings, and is independent of operator or postural context in its interpretation. 2017-07-01 /pmc/articles/PMC5493195/ /pubmed/28459950 http://dx.doi.org/10.1093/brain/awx104 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
di Biase, Lazzaro
Brittain, John-Stuart
Shah, Syed Ahmar
Pedrosa, David J.
Cagnan, Hayriye
Mathy, Alexandre
Chen, Chiung Chu
Martín-Rodríguez, Juan Francisco
Mir, Pablo
Timmerman, Lars
Schwingenschuh, Petra
Bhatia, Kailash
Di Lazzaro, Vincenzo
Brown, Peter
Tremor stability index: a new tool for differential diagnosis in tremor syndromes
title Tremor stability index: a new tool for differential diagnosis in tremor syndromes
title_full Tremor stability index: a new tool for differential diagnosis in tremor syndromes
title_fullStr Tremor stability index: a new tool for differential diagnosis in tremor syndromes
title_full_unstemmed Tremor stability index: a new tool for differential diagnosis in tremor syndromes
title_short Tremor stability index: a new tool for differential diagnosis in tremor syndromes
title_sort tremor stability index: a new tool for differential diagnosis in tremor syndromes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493195/
https://www.ncbi.nlm.nih.gov/pubmed/28459950
http://dx.doi.org/10.1093/brain/awx104
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