Latent Class Analysis to Classify Patients with Transthyretin Amyloidosis by Signs and Symptoms.

ABSTRACT:

Introduction

The aim of this study was to develop an empirical approach to classifying patients with transthyretin amyloidosis (ATTR) based on clinical signs and symptoms.

Methods

Data from 971 symptomatic subjects enrolled in the Transthyretin Amyloidosis Outcomes Survey were analyzed using a latent class analysis approach. Differences in health status measures for the latent classes were examined.

Results

A four-class latent class solution was the best fit for the data. The latent classes were characterized by the predominant symptoms as severe neuropathy/severe autonomic, moderate to severe neuropathy/low to moderate autonomic involvement, severe cardiac, and moderate to severe neuropathy. Incorporating disease duration improved the model fit. It was found that mea

SUBMITTER: Alvir J 

PROVIDER: S-EPMC4470973 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature