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Predictive modeling of spread in adult-onset isolated dystonia: Key properties and effect of tremor inclusion

Wang, M; Sajobi, T; Morgante, F; Adler, C; Agarwal, P; Bäumer, T; Berardelli, A; Berman, BD; Blumin, J; Borsche, M; et al. Wang, M; Sajobi, T; Morgante, F; Adler, C; Agarwal, P; Bäumer, T; Berardelli, A; Berman, BD; Blumin, J; Borsche, M; Brashear, A; Deik, A; Duque, K; Espay, AJ; Ferrazzano, G; Feuerstein, J; Fox, S; Frank, S; Hallett, M; Jankovic, J; LeDoux, MS; Leegwater-Kim, J; Mahajan, A; Malaty, IA; Ondo, W; Pantelyat, A; Pirio-Richardson, S; Roze, E; Saunders-Pullman, R; Suchowersky, O; Truong, D; Vidailhet, M; Wagle Shukla, A; Perlmutter, JS; Jinnah, HA; Martino, D (2021) Predictive modeling of spread in adult-onset isolated dystonia: Key properties and effect of tremor inclusion. EUROPEAN JOURNAL OF NEUROLOGY, 28 (12). pp. 3999-4009. ISSN 1351-5101 https://doi.org/10.1111/ene.15031
SGUL Authors: Morgante, Francesca

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Abstract

Background and purpose Several clinical and demographic factors relate to anatomic spread of adult-onset isolated dystonia, but a predictive model is still lacking. The aims of this study were: (i) to develop and validate a predictive model of anatomic spread of adult-onset isolated dystonia; and (ii) to evaluate whether presence of tremor associated with dystonia influences model predictions of spread. Methods Adult-onset isolated dystonia participants with focal onset from the Dystonia Coalition Natural History Project database were included. We developed two prediction models, one with dystonia as sole disease manifestation (“dystonia-only”) and one accepting dystonia OR tremor in any body part as disease manifestations (“dystonia OR tremor”). Demographic and clinical predictors were selected based on previous evidence, clinical plausibility of association with spread, or both. We used logistic regressions and evaluated model discrimination and calibration. Internal validation was carried out based on bootstrapping. Results Both predictive models showed an area under the curve of 0.65 (95% confidence intervals 0.62–0.70 and 0.62–0.69, respectively) and good calibration after internal validation. In both models, onset of dystonia in body regions other than the neck, older age, depression and history of neck trauma were predictors of spread. Conclusions This predictive modeling of spread in adult-onset isolated dystonia based on accessible predictors (demographic and clinical) can be easily implemented to inform individuals’ risk of spread. Because tremor did not influence prediction of spread, our results support the argument that tremor is a part of the dystonia syndrome, and not an independent or coincidental disorder.

Item Type: Article
Additional Information: This is the peer reviewed version of the following article: Wang, M, Sajobi, T, Morgante, F, et al. Predictive modeling of spread in adult-onset isolated dystonia: Key properties and effect of tremor inclusion. Eur J Neurol. 2021; 28: 3999– 4009, which has been published in final form at https://doi.org/10.1111/ene.15031. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Keywords: 1103 Clinical Sciences, 1109 Neurosciences, Neurology & Neurosurgery
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Journal or Publication Title: EUROPEAN JOURNAL OF NEUROLOGY
ISSN: 1351-5101
Dates:
DateEvent
12 November 2021Published
4 August 2021Published Online
27 June 2021Accepted
Publisher License: Publisher's own licence
Projects:
Project IDFunderFunder ID
U54 TR001456National Center for Advancing Translational Scienceshttp://dx.doi.org/10.13039/100006108
U54 NS065701National Institute of Neurological Disorders and Strokehttp://dx.doi.org/10.13039/100000065
U54 NS116025National Institute of Neurological Disorders and Strokehttp://dx.doi.org/10.13039/100000065
URI: https://openaccess.sgul.ac.uk/id/eprint/113503
Publisher's version: https://doi.org/10.1111/ene.15031

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