medwireNews: Researchers have developed the ILD-RISC score, which has the potential to predict the development of interstitial lung disease (ILD) in patients with systemic sclerosis (SSc).
Using this score could help to determine when a high-resolution computed tomography (HRCT) scan is necessary, and “may be useful in routine practice with limited resources in requesting HRCTs,” said Cosimo Bruni (University of Florence, Italy) in a poster presentation at ACR Convergence 2022 in Philadelphia, Pennsylvania, USA.
In the derivation cohort of 533 patients with SSc, 229 of whom had ILD, the ILD-RISC model, with a cutoff score of 0.3, correctly distinguished between people with and without ILD on 79.1% of occasions. The model was based on factors including forced vital capacity, diffusing capacity for carbon monoxide, ever presence of digital ulcers, and SSc antibody positivity.
In a validation cohort of 247 patients (119 with ILD), the score had an accuracy of 76.4% for predicting ILD.
The score also showed similar performance in a longitudinal cohort of 819 individuals with a negative HRCT for ILD at baseline, 170 of whom developed ILD during a median follow-up of 3.8 years. Bruni said that 914 of 1809 HRCTs during follow-up visits in this cohort could have been avoided on the basis of having an ILD-RISC score below 0.3, “thus limiting unnecessary HRCTs and reducing the burden for patients and institutions.”
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ACR Convergence 2022; Philadelphia, Pennsylvania, USA: November 10–14