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Semin. Arthritis Rheum. · Oct 2017
Clinical algorithms for the diagnosis and prognosis of interstitial lung disease in systemic sclerosis.
- Vanessa Hax, Markus Bredemeier, Ana Laura Didonet Moro, Thaís Rohde Pavan, Marcelo Vasconcellos Vieira, Eduardo Hennemann Pitrez, Rafael Mendonça da Silva Chakr, and Ricardo Machado Xavier.
- Department of Internal Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil; Division of Rheumatology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil. Electronic address: vanessahax@gmail.com.
- Semin. Arthritis Rheum. 2017 Oct 1; 47 (2): 228-234.
IntroductionInterstitial lung disease (ILD) is currently the primary cause of death in systemic sclerosis (SSc). Thoracic high-resolution computed tomography (HRCT) is considered the gold standard for diagnosis. Recent studies have proposed several clinical algorithms to predict the diagnosis and prognosis of SSc-ILD.ObjectiveTo test the clinical algorithms to predict the presence and prognosis of SSc-ILD and to evaluate the association of extent of ILD with mortality in a cohort of SSc patients.MethodsRetrospective cohort study, including 177 SSc patients assessed by clinical evaluation, laboratory tests, pulmonary function tests, and HRCT. Three clinical algorithms, combining lung auscultation, chest radiography, and percentage predicted forced vital capacity (FVC), were applied for the diagnosis of different extents of ILD on HRCT. Univariate and multivariate Cox proportional models were used to analyze the association of algorithms and the extent of ILD on HRCT with the risk of death using hazard ratios (HR).ResultsThe prevalence of ILD on HRCT was 57.1% and 79 patients died (44.6%) in a median follow-up of 11.1 years. For identification of ILD with extent ≥10% and ≥20% on HRCT, all algorithms presented a high sensitivity (>89%) and a very low negative likelihood ratio (<0.16). For prognosis, survival was decreased for all algorithms, especially the algorithm C (HR = 3.47, 95% CI: 1.62-7.42), which identified the presence of ILD based on crackles on lung auscultation, findings on chest X-ray, or FVC <80%. Extensive disease as proposed by Goh et al. (extent of ILD > 20% on HRCT or, in indeterminate cases, FVC < 70%) had a significantly higher risk of death (HR = 3.42, 95% CI: 2.12-5.52). Survival was not different between patients with extent of 10% or 20% of ILD on HRCT, and analysis of 10-year mortality suggested that a threshold of 10% may also have a good predictive value for mortality. However, there is no clear cutoff above which mortality is sharply increased.ConclusionClinical algorithms had a good diagnostic performance for extents of SSc-ILD on HRCT with clinical and prognostic relevance (≥10% and ≥20%), and were also strongly related to mortality. Non-HRCT-based algorithms could be useful when HRCT is not available. This is the first study to replicate the prognostic algorithm proposed by Goh et al. in a developing country.Copyright © 2017 Elsevier Inc. All rights reserved.
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