A Principal Component Analysis Approach to Estimate the Disability Status for Patients with Multiple Sclerosis Using Japanese Claims Data.

ABSTRACT:

Introduction

Claims databases are preferred for research on multiple sclerosis (MS) as this condition is characterized by low prevalence and long disease course. However, Japanese claims databases contain no information on disease severity or disability status of MS. Here, we aimed to explore the possibility of utilizing a principal component analysis (PCA) to estimate MS severity using a Japanese claims database.

Methods

An MS severity score was developed using a PCA. Factors related to functional systems for Expanded Disability Status Scale (EDSS) and higher disease severity (74 diagnoses, 68 drug prescriptions, and 77 procedures) were extracted from the claims database (April 2008-August 2018). The score (PC1 score) was developed for each patient-year-each year from the f

SUBMITTER: Kawachi I 

PROVIDER: S-EPMC8857383 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature