Systemic sclerosis (SSc) is a heterogeneous systemic autoimmune disease with distinct prognosis according to patients. In patients with systemic sclerosis, interstitial lung disease (ILD) concerns almost 50 % of patients and represents the main cause of mortality. Disease course in SSc-ILD is highly variable: patients can experience stable disease, slow or fast progression. Prevention of ILD progression now represents a key objective of SSc-ILD management. The understanding of the course and patterns of SSc-ILD progression is necessary, as reliable prediction tools that allow the stratification of the risk of progression. We aimed to identify the longitudinal trajectories of ILD in SSc patients using latent class mixed models and to examine their associations with SSc characteristics.
Study Type
OBSERVATIONAL
Enrollment
600
CHU Nancy
Vandœuvre-lès-Nancy, Grand Est, France
RECRUITINGFVC change over time
evaluation of %predicted FVC values over time using latent class mixed models (LCMM)
Time frame: at ILD diagnosis (Day 0) and within 5 years after ILD diagnosis
DLCO change over time
evaluation of %predicted DLCO values over time using latent class mixed models (LCMM)
Time frame: at ILD diagnosis (Day 0) and within 5 years after ILD diagnosis
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