Quantitative assessment of interstitial lung disease in Sjögren’s syndrome

English version

Autoři: Pablo Guisado-Vasco ^aff001; Mario Silva ^aff002; Miguel Angel Duarte-Millán ^aff003; Gianluca Sambataro ^aff004; Chiara Bertolazzi ^aff005; Mauro Pavone ^aff004; Isabel Martín-Garrido ^aff001; Oriol Martín-Segarra ^aff001; José Manuel Luque-Pinilla ^aff001; Daniele Santilli ^aff006; Domenico Sambataro ^aff007; Sebastiano E. Torrisi ^aff004; Ada Vancheri ^aff004; Marwin Gutiérrez ^aff005; Mayra Mejia ^aff008; Stefano Palmucci ^aff009; Flavio Mozzani ^aff006; Jorge Rojas-Serrano ^aff008; Carlo Vanchieri ^aff004; Nicola Sverzellati ^aff002; Alarico Ariani ^aff006
Působiště autorů: Internal Medicine, Complejo hospitalario Ruber Juan Bravo, Universidad Europea (Madrid), Madrid, Spain ^aff001; Scienze Radiologiche, Dipartimento di Medicina e Chirurgia (DiMeC), University of Parma, Parma, Italy ^aff002; Internal Medicine, Hospital universitario Fuenlabrada, Fuenlabrada, Spain ^aff003; Regional Referral Center for Rare Lung Diseases, A. O. U. "Policlinico-Vittorio Emanuele" Dpt. of Clinical and Experimental Medicine, University of Catania, Catania, Italy ^aff004; Division of Musculoskeletal and Rheumatic Disorders, Instituto Nacional de Rehabilitación—“Luis Guillermo Ibarra Ibarra”, Mexico City, Mexico ^aff005; Internal Medicine and Rheumatoloy Unit, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy ^aff006; Department of Clinical and Experimental Medicine, Internal Medicine Unit, Cannizaro Hospital, University of Catania, Catania, Italy ^aff007; Interstitial Lung Disease and Rheumatology Unit, Instituto Nacional de Enfermedades Respiratorias, Ismael Cosio Villegas, Mexico City, Mexico ^aff008; Department of Medica Surgical Sciences and Advanced Technologies "GR Ingrassia", Radiology I unit, University of Catania, Catania, Italy ^aff009
Vyšlo v časopise: PLoS ONE 14(11)
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pone.0224772

Souhrn

Background

Interstitial lung disease (ILD) is a frequent manifestation of Sjögren’s syndrome (SS), an autoimmune disease of salivary and lacrimal glands, and affects approximately 20% of patients. No clinical or serological features appear to be useful to predict its presence, severity or progression, and chest high-resolution computed tomography (CT) remains the gold standard for diagnosis. Semiquantitative CT (SQCT) based on visual assessment (Goh and Taouli scoring) can estimate ILD extent, although it is burdened by relevant intra- and interobserver variability. Quantitative chest CT (QCT) is a promising alternative modality to assess ILD severity.

Aim

To determine whether QCT assessment can identify extensive or limited lung disease in patients with SS and ILD.

Methods

This multi-center, cross-sectional and retrospective study enrolled patients with SS and a chest CT scan. SQCT assessment was carried out in a blinded and centralized manner to calculate both Goh and Taouli scores. An operator-independent analysis of all CT scans with the open-source software platform Horos was used to evaluate the QCT indices. Patients were classified according to the extent of ILD and differences in QCT index distribution were investigated with non-parametric tests.

Results

From a total of 102 consecutive patients with SS, the prevalence of ILD was 35.3% (36/102). There was a statistically significant difference in QCT index distribution between the SS with ILD and SS without ILD groups (p<0.001). Moreover, SS-ILD patients with ILD >20% (by Goh score) had a QCT index statistically different from those with limited ILD extent (p<0.001). Finally, QCT indices showed a moderate-to-good correlation with the Goh and Taouli scores (from 0.44 to 0.65; p<0.001).

Conclusions

QCT indices can identify patients with SS and ILD and discriminate those with lesser or greater lung disease.

Klíčová slova:

Autoimmune diseases – Pulmonary function – Statistical data – Computed axial tomography – Pneumonia – Statistical distributions – Salivary glands – Interstitial lung diseases

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