Dynamic effects of prognostic factors and individual survival prediction for amyotrophic lateral sclerosis disease.

ABSTRACT:

Objective

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease affecting motor neurons, with broad heterogeneity in disease progression and survival in different patients. Therefore, an accurate prediction model will be crucial to implement timely interventions and prolong patient survival time.

Methods

A total of 1260 ALS patients from the PRO-ACT database were included in the analysis. Their demographics, clinical variables, and death reports were included. We constructed an ALS dynamic Cox model through the landmarking approach. The predictive performance of the model at different landmark time points was evaluated by calculating the area under the curve (AUC) and Brier score.

Results

Three baseline covariates and seven time-dependent covariates were

SUBMITTER: Huang B 

PROVIDER: S-EPMC10270250 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature