Utility of peripheral protein biomarkers for the prediction of incident interstitial features: a multicentre retrospective cohort study.

ABSTRACT:

Introduction/rationale

Protein biomarkers may help enable the prediction of incident interstitial features on chest CT.

Methods

We identified which protein biomarkers in a cohort of smokers (COPDGene) differed between those with and without objectively measured interstitial features at baseline using a univariate screen (t-test false discovery rate, FDR p<0.001), and which of those were associated with interstitial features longitudinally (multivariable mixed effects model FDR p<0.05). To predict incident interstitial features, we trained four random forest classifiers in a two-thirds random subset of COPDGene: (1) imaging and demographic information, (2) univariate screen biomarkers, (3) multivariable confirmation biomarkers and (4) multivariable confirmation biomarkers ava

SUBMITTER: Ash S 

PROVIDER: S-EPMC10941119 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature