Systemic sclerosis & Raynaud's

Neural network analysis as a novel skin outcome in a trial of belumosudil in patients with systemic sclerosis

Arthritis Res TherPublished Open-label trial

Authors' conclusion

The histologic features that significantly correlated with Fibrosis Score changes (e.g., hyalinized collagen, SC fat loss) were distinct from those associated with mRSS changes (e.g., telangiectasia and perivascular CD3 +).

Study context

Population
Adults with dcSSc ≤ 6 years5 with available biopsies
Participants
10 adults
Outcome
Associations of mRSS and AI Fibrosis Score with histologic parameters
Follow-up
0-52 W
Methodological detailssingle-arm, early study termination, Early study termination; biopsies unavailable for 5 due to fixation issues
  • Single-arm
  • Early study termination
  • Early study termination; biopsies unavailable for 5 due to fixation issues

Main finding

As reported in the abstract

0-52 W
Correlation between Fibrosis Score and modified Rodnan skin score (mRSS) (R; p = 0.674)
0.3
Per 1-unit mRSS change: telangiectasia, OR
2.01 (95% CI 1.31-3.07; p 0.001)
Per 1-unit mRSS change: perivascular CD3 +, OR
0.99 (95% CI 0.97-1.02; p 0.015)
Per 1-unit mRSS change: % of CD8 + among CD3 +, OR
0.95 (95% CI 0.89-1.01; p 0.031)
Per 1-unit Fibrosis Score change: hyalinized collagen, OR
1.1 (95% CI 1.04 - 1.16; p < 0.001)
Per 1-unit Fibrosis Score change: Subcutaneous (SC) fat loss, OR
1.47 (95% CI 1.19-1.81; p < 0.001)
Per 1-unit Fibrosis Score change: thickened intima, OR
1.21 (95% CI 1.06-1.38; p 0.005)
Per 1-unit Fibrosis Score change: eccrine entrapment, OR
1.14 (95% CI 1-1.31; p 0.046)

Further findings

OutcomeValues
mRSS change (0-52 W), all enrolledten participants Median −2 (IQR −9–7.5)
mRSS change (0-52 W), participants with biopsiesfive with biopsies Median −2.5 (IQR −11–7.5)

Original publication

Neural network analysis as a novel skin outcome in a trial of belumosudil in patients with systemic sclerosis. Arthritis Res Ther. Published 11 April 2025. doi:10.1186/s13075-025-03508-9

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.