학술논문

Interstitial Lung Disease in Systemic Sclerosis: A Simple Staging System
Document Type
Academic Journal
Source
American Journal of Respiratory and Critical Care Medicine. Jun 01, 2008 177(11):1248-1254
Subject
Language
English
ISSN
1073-449X
Abstract
RATIONALE:: In interstitial lung disease complicating systemic sclerosis (SSc-ILD), the optimal prognostic use of baseline pulmonary function tests (PFTs) and high-resolution computed tomography (HRCT) is uncertain. OBJECTIVES:: To construct a readily applicable prognostic algorithm in SSc-ILD, integrating PFTs and HRCT. METHODS:: The prognostic value of baseline PFT and HRCT variables was quantified in patients with SSc-ILD (n = 215) against survival and serial PFT data. MEASUREMENTS AND MAIN RESULTS:: Increasingly extensive disease on HRCT was a powerful predictor of mortality (P < 0.0005), with an optimal extent threshold of 20%. In patients with HRCT extent of 10–30% (termed indeterminate disease), an FVC threshold of 70% was an adequate prognostic substitute. On the basis of these observations, SSc-ILD was staged as limited disease (minimal disease on HRCT or, in indeterminate cases, FVC ≥ 70%) or extensive disease (severe disease on HRCT or, in indeterminate cases, FVC < 70%). This system (hazards ratio [HR], 3.46; 95% confidence interval [CI], 2.19–5.46; P < 0.0005) was more discriminatory than an HRCT threshold of 20% (HR, 2.48; 95% CI, 1.57–3.92; P < 0.0005) or an FVC threshold of 70% (HR, 2.11; 95% CI, 1.34–3.32; P = 0.001). The system was evaluated by four trainees and four practitioners, with minimal and severe disease on HRCT defined as clearly < 20% or clearly > 20%, respectively, and the use of an FVC threshold of 70% in indeterminate cases. The staging system was predictive of mortality for all scorers, with prognostic separation higher for practitioners (HR, 3.39–3.82) than trainees (HR, 1.87–2.60). CONCLUSIONS:: An easily applicable limited/extensive staging system for SSc-ILD, based on combined evaluation with HRCT and PFTs, provides discriminatory prognostic information.