A proposed prognostic prediction score for pleuroparenchymal fibroelastosis.

ABSTRACT:

Background

Clinical course of pleuroparenchymal fibroelastosis (PPFE) shows considerable variation among patients, but there is no established prognostic prediction model for PPFE.

Methods

The prediction model was developed using retrospective data from two cohorts: our single-center cohort and a nationwide multicenter cohort involving 21 institutions. Cox regression analyses were used to identify prognostic factors. The total score was defined as the weighted sum of values for the selected variables. The performance of the prediction models was evaluated by Harrell's concordance index (C-index). We also examined the usefulness of the gender-age-physiology (GAP) model for predicting the prognosis of PPFE patients.

Results

We examined 104 patients with PPFE (52 cases f

SUBMITTER: Kinoshita Y 

PROVIDER: S-EPMC8400711 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature