Systemic sclerosis & Raynaud's

Systemic sclerosis associated interstitial lung disease: a conceptual framework for subclinical, clinical and progressive disease

Rheumatology (Oxford)Published Expert consensus survey study

Authors' conclusion

Using our proposed conceptual framework, international experts were able to achieve a consensus on classifying SSc-ILD patients along the dimensions of disease severity, risk of progression and progression over time.

Study context

Population
International experts classifying actual SSc-ILD patient profiles44 (53%) experts completed
Participants
83 participants
Outcome
Consensus (≥75% of experts agreeing) on classifying SSc-ILD profiles by severity, risk of progression and progressive ILD
Methodological detailsconceptual framework, consensus threshold ≥75% agreement, each patient profile classified by at least four experts, 1-year follow-up data for progression
  • Conceptual framework
  • Consensus threshold ≥75% agreement
  • Each patient profile classified by at least four experts
  • 1-year follow-up data for progression

Recommendations

As reported in the abstract

Consensus achieved

Severity: consensus, 60 of 80 profiles

75%

Risk of progression: consensus, 57 of 80 profiles

71%

Progressive ILD: consensus, 24 of 40 profiles

60%

Further findings

Classification of profiles achieving consensus

Clinical ILD
92%
Low risk
54%
Stable
71%

Items most influential in classification

Severity and progression: FVC, extent of lung involvement on high resolution chest CT (HRCT)
Risk of progression: primarily disease duration

Original publication

Systemic sclerosis associated interstitial lung disease: a conceptual framework for subclinical, clinical and progressive disease. Rheumatology (Oxford). Published 29 September 2022. doi:10.1093/rheumatology/keac557

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.