Risk prediction model in rheumatoid arthritis-associated interstitial lung disease.

ABSTRACT:

Background and objective

RA-ILD has a variable clinical course, and its prognosis is difficult to predict. Moreover, risk prediction models for prognosis remain undefined.

Methods

The prediction model was developed using retrospective data from 153 patients with RA-ILD and validated in an independent RA-ILD cohort (n = 149). Candidate variables for the prediction models were screened using a multivariate Cox proportional hazard model. C-statistics were calculated to assess and compare the predictive ability of each model.

Results

In the derivation cohort, the median follow-up period was 54 months, and 38.6% of the subjects exhibited a UIP pattern on HRCT imaging. In multivariate Cox analysis, old age (≥60 years, HR: 2.063), high fibrosis score (≥20% of the total lung

SUBMITTER: Kim HC 

PROVIDER: S-EPMC7615175 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature