Predicting the Prognosis of Multiple System Atrophy Using Cluster and Principal Component Analysis.

ABSTRACT:

Background

Multiple system atrophy (MSA) is an intractable neurodegenerative disorder with poorly understanding of prognostic factors.

Objective

The purpose of this retrospective longitudinal study was to explore the main predictors of survival of MSA patients with new clinical subtypes based on cluster analysis.

Methods

A total of 153 Chinese MSA patients were recruited in our study. The basic demographic data and motor and nonmotor symptoms were assessed. Cluster and principal component analysis (PCA) were used to eliminate collinearity and search for new clinical subtypes. The multivariable Cox regression was used to find factors associated with survival in MSA patients.

Results

The median survival time from symptom onset to death (estimated using data from

SUBMITTER: Du J 

PROVIDER: S-EPMC10578219 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature