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. 2021 Dec;28(12):3999-4009.
doi: 10.1111/ene.15031. Epub 2021 Aug 4.

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

Affiliations

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

Meng Wang et al. Eur J Neurol. 2021 Dec.

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.

Keywords: isolated dystonia; neurological diseases; predictive models; spread; tremor.

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Conflict of interest statement

CONFLICT OF INTEREST

All authors report no disclosures related to the content of this research.

Figures

FIGURE 1
FIGURE 1
Calibration plots from the internal validation procedure (bootstrapping-corrected overfitting)
FIGURE 2
FIGURE 2
(a) Nomogram that allows calculation of the value of a cumulative predictive index (“Total Points”) of spread for each individual, based on the “dystonia-only” predictive model. The index score (“Total Points”) is calculated summing the points for each of the predictive variable, which can be measured graphically connecting through a perpendicular line the point on the metric scale for each variable to the metric scale for Points. A higher index score indicates higher predicted risk of spread. For example, a 70-year-old female with depression, cranial dystonia onset, no history of neck trauma, with family history, 10 years of disease duration, and no history of dystonia dominated by tremor will score as follows: 58 (on age) + 7 (on sex) + 33 (on depression) + 32 (on family history) + 0 (no on history of neck trauma) + 100 (on site of onset) + 8 (on disease duration) + 0 (on dystonia dominated by tremor) = 238, which will correspond to a 80% risk of spread. (b) Similar nomogram, but based on the “dystonia OR tremor” predictive model. Using this second nomogram, the same patient (without neck trauma) will score a cumulative predictive index of (71 + 0 + 28 + 57 + 11 + 0 + 0 + 0) =167, which will correspond to approximately 75% risk of spread

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