Baseline motor findings and Parkinson disease prognostic subtypes
| Autor: | Ali H. Rajput, Alex Rajput, Leslie W. Ferguson, Michele L. Rajput |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Male
0301 basic medicine medicine.medical_specialty Disease Sensitivity and Specificity Article 03 medical and health sciences 0302 clinical medicine Predictive Value of Tests Internal medicine Tremor medicine Humans Baseline (configuration management) Aged Aged 80 and over Antiparkinsonian drugs business.industry Follow up studies Parkinson Disease Middle Aged Prognosis Predictive value Muscle Rigidity Clinical Practice 030104 developmental biology Predictive value of tests Cohort Disease Progression Female Neurology (clinical) business 030217 neurology & neurosurgery Follow-Up Studies |
| Zdroj: | Neurology |
| ISSN: | 1526-632X 0028-3878 |
| DOI: | 10.1212/wnl.0000000000004078 |
| Popis: | Objective:To identify the significance of baseline motor features to the lifelong prognostic motor subtypes in a Parkinson disease (PD) cohort.Methods:In a previous study of 166 PD cases, we observed different prognosis in tremor-dominant, akinetic-rigid, and mixed subtypes. This study includes the same cases, but we excluded 10 cases with symptoms of ≥15 years duration at baseline. Relative severity of tremor, bradykinesia/akinesia, and rigidity at baseline were evaluated as predictors of the motor subtypes, which are known to have different prognosis.Results:The most common motor subtype was mixed, followed by akinetic-rigid and then the tremor-dominant. Seventy cases were not receiving antiparkinsonian drugs at baseline. The prognostic subtypes could be predicted at baseline in 85% of all and in 91% of the treatment-naive cases. Sensitivity, specificity, and positive predictive values were strong for the mixed and the akinetic-rigid but weak for the tremor-dominant subtype.Conclusions:Our data show that motor profile at baseline can predict prognosis in most PD cases. These findings can be incorporated into clinical practice. |
| Databáze: | OpenAIRE |
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