Functional dystonia: A case-control study and risk prediction algorithm.

ABSTRACT:

Objective

Functional dystonia (FD) is a disabling and diagnostically challenging functional movement disorder (FMD). We sought to identify historical predictors of FD vs. other primary dystonias (ODs) and develop a practical prediction algorithm to guide neurologists.

Methods

1475 consecutive new patient medical records were reviewed at an adult/pediatric tertiary-referral dystonia clinic from 2005 to 2017. Ninety-nine met criteria for clinically established FD (85 adults and 14 pediatric), paired with 99 age/dystonia distribution-matched OD. Univariate and multivariate regression analyses were performed to identify predictors of FD and disability. We formed a prediction algorithm, assessed using the area under the receiver operating curve (AUC).

Results

Multivariate

SUBMITTER: Stephen CD 

PROVIDER: S-EPMC8045924 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature