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DOI 10.3390/diagnostics10040225

Медицинская библиотека · Diagnostics (Basel, Switzerland) · 2020

Quantification of Ground Glass Opacities Can Be Useful to Describe Disease Activity in Systemic Sclerosis.

Sambataro Domenico, Sambataro Gianluca, Pignataro Francesca, Maglione Wanda, Malatino Lorenzo, Vancheri Carlo, Colaci Michele, Del Papa Nicoletta

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Аннотация

Interstitial lung disease (ILD) is the main cause of death in systemic sclerosis (SSc) patients. Usually, patients have lung involvement characterized by ground glass opacities (GGOs), but honeycombing (HC) is also possible. The Wells score is a semi-quantitative index, which is able to assess ILD by distinguishing its main components. The aim of this work is to evaluate the Wells score in relation to the disease activity (DA) index. We enrolled 40 consecutive SSc-ILD patients (26 diffuse cutaneous form, dcSSc, and 14 limited form, lcSSc). All patients were evaluated by the European Scleroderma Study Group (ESSG) index, high-resolution computed tomography, transthoracic echocardiogram, pulmonary function tests (PTSs), and nailfold videocapillaroscopy for the number of microhemorrhages (NEMO) score. In our study, the total extent of ILD (TE-ILD), fibrosis and GGOs correlated with dyspnea (p = 0.03, 0.01 and 0.01 respectively), but not with the ESSG index. Considering only the dcSSc patients, TE-ILD and GGOs correlated with the ESSG index (r = 0.5 p = 0.009), while fibrosis grade correlated with disease duration and systolic pulmonary artery pressure. In conclusion, our data suggest that GGO correlates with DA, while fibrosis may be a sign of disease damage. The quantification of pulmonary involvement using the Wells score can be a useful tool for assessing the appropriate treatment in SSc patients.

Для цитирования: Sambataro Domenico, Sambataro Gianluca, Pignataro Francesca, Maglione Wanda, Malatino Lorenzo, Vancheri Carlo, Colaci Michele, Del Papa Nicoletta. Quantification of Ground Glass Opacities Can Be Useful to Describe Disease Activity in Systemic Sclerosis.. Diagnostics (Basel, Switzerland). 2020. DOI: 10.3390/diagnostics10040225.
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