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Dataset Information

Development of a multivariable prediction model for progression of systemic sclerosis-associated interstitial lung disease.


ABSTRACT:

Objective

To develop a multivariable model for predicting the progression of systemic sclerosis-associated interstitial lung disease (SSc-ILD) over 52 weeks.

Methods

We used logistic regression models to analyse associations between candidate predictors assessed at baseline and progression of SSc-ILD (absolute decline in forced vital capacity (FVC) % predicted >5% or death) over 52 weeks in the placebo group of the SENSCIS trial. Analyses were performed in the overall placebo group and in a subgroup with early and/or inflammatory SSc and/or severe skin fibrosis (<18 months since first non-Raynaud symptom, elevated inflammatory markers, and/or modified Rodnan skin score (mRSS) >18) at baseline. Model performance was assessed using the area under the receiver operating charact

SUBMITTER: Kuwana M 

PROVIDER: S-EPMC11381690 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature