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Disease progression in Parkinson subtypes: the PPMI dataset

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Abstract

Introduction

Discrete patterns of progression have been suggested for patients with Parkinson disease and presenting tremor dominant (TD) or postural instability gait disorders (PIGD). However, longitudinal prospective assessments need to take into consideration the variability in clinical manifestations and the evidence that only 40% of initially classified PIGD remain in this subtype at subsequent visits.

Methods

We analyzed clinical progression of PIGD compared to TD using longitudinal clinical data from the PPMI. Given the reported instability of such clinical classification, we only included patients who were reported as PIGD/TD at each visit during the 4-year observation. We used linear mixed-effects models to test differences in progression in these subgroups in 51 dependent variables.

Results

There were 254 patients with yearly assessment. The number of PIGD was 36/254 vs 144/254 TD. PIGD had more severe motor disease at baseline but progressed faster than TD only in three non-motor items of the MDS-UPDRS: cognitive impairment, hallucinations, and psychosis plus features of DDS. Our analysis also showed in PIGD faster increase in the average time with dyskinesia.

Conclusions

PIGD are characterized by more severe disease manifestations at diagnosis and greater cognitive progression, more frequent hallucinations, psychosis as well as features of DDS than TD patients. We interpret these findings as expression of greater cortical and subcortical involvement in PIGD already at onset. Since PIGD/TD classification is very unstable at onset, our analysis based on stricter definition criteria provides important insight for clinical trial stratification and definition of related outcome measures.

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Notes

  1. Based on PPMI data of 28 Feb 2017.

  2. This means that the model is flexible and allows every patient from the TD (or PIGD) group to have its regression (progression) line slightly lower or higher than the overall TD (or PIGD) regression line.

  3. This procedure belongs to a family of false discovery rate methods, which are typically less stringent than a Bonferroni correction.

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Correspondence to Angelo Antonini.

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Conflict of interest

This study was funded by EU Framework Programme for Research and Innovation Horizon 2020, under grant number 643706. Data used in the preparation of this article were obtained from the Parkinson’s Progression Markers Initiative (PPMI) database (www.ppmi-info.org/data).

Angelo Antonini has received consultancy fees from AbbVie, Lundbeck and speaker honoraria from AbbVie, Boehringer Ingelheim, Sunovion, Lundbeck, Mundipharma, GE, UCB, Zambon, Ever Neuro Pharma, Movement Disorders Society. Daniele Bravi is an employee of Lundbeck. Darko Aleksovski and Dragana Miljkovic have no conflict of interest.

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Aleksovski, D., Miljkovic, D., Bravi, D. et al. Disease progression in Parkinson subtypes: the PPMI dataset. Neurol Sci 39, 1971–1976 (2018). https://doi.org/10.1007/s10072-018-3522-z

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