Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/173968
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dc.contributor.authorHernández González, Fernanda-
dc.contributor.authorPrieto González, Sergio-
dc.contributor.authorBrito Zerón, María del Pilar-
dc.contributor.authorCuerpo, Sandra-
dc.contributor.authorSánchez, Marcelo-
dc.contributor.authorRamírez Ruz, J. (José)-
dc.contributor.authorAgustí García-Navarro, Carles-
dc.contributor.authorLucena, Carmen M.-
dc.contributor.authorParadela, Marina-
dc.contributor.authorGrafia, Ignacio-
dc.contributor.authorEspinosa Garriga, Gerard-
dc.contributor.authorSellarés, Jacobo-
dc.date.accessioned2021-02-15T15:48:50Z-
dc.date.available2021-02-15T15:48:50Z-
dc.date.issued2020-01-01-
dc.identifier.issn0025-7974-
dc.identifier.urihttp://hdl.handle.net/2445/173968-
dc.description.abstractTo date, there is no clear agreement regarding which is the best method to detect a connective tissue disease (CTD) during the initial diagnosis of interstitial lung diseases (ILD). The aim of our study was to explore the impact of a systematic diagnostic strategy to detect CTD-associated ILD (CTD-ILD) in clinical practice, and to clarify the significance of interstitial pneumonia with autoimmune features (IPAF) diagnosis in ILD patients. Consecutive patients evaluated in an ILD Diagnostic Program were divided in 3 groups: IPAF, CTD-ILD, and other ILD forms. Clinical characteristics, exhaustive serologic testing, high resolution computed tomography (HRCT) images, lung biopsy specimens, and follow-up were prospectively collected and analyzed. Among 139 patients with ILD, CTD was present in 21 (15.1%), 24 (17.3%) fulfilled IPAF criteria, and 94 (67.6%) were classified as other ILD forms. Specific systemic autoimmune symptoms such as Raynaud phenomenon (19%), inflammatory arthropathy (66.7%), and skin manifestations (38.1%) were more frequent in CTD-ILD patients than in the other groups (all P< .001). Among autoantibodies, antinuclear antibody was the most frequently found in IPAF (42%), and CTD-ILD (40%) (P= .04). Nonspecific interstitial pneumonia, detected by HRCT scan, was the most frequently seen pattern in patients with IPAF (63.5%), or CTD-ILD (57.1%) (P< .001). In multivariate analysis, a suggestive radiological pattern by HRCT scan (odds ratio [OR] 15.1, 95% confidence interval [CI] 4.7-48.3, P< .001) was the strongest independent predictor of CTD-ILD or IPAF, followed by the presence of clinical features (OR 14.6, 95% CI 4.3-49.5, P< .001), and serological features (OR 12.4, 95% CI 3.5-44.0, P< .001). This systematic diagnostic strategy was useful in discriminating an underlying CTD in patients with ILD. The defined criteria for IPAF are fulfilled by a considerable proportion of patients referred for ILD.-
dc.format.extent9 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherLippincott, Williams & Wilkins. Wolters Kluwer Health-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1097/MD.0000000000018589-
dc.relation.ispartofMedicine, 2020, vol. 99, num. 4, p. e18589-
dc.relation.urihttps://doi.org/10.1097/MD.0000000000018589-
dc.rightscc-by (c) Hernández González, Fernanda et al., 2020-
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es-
dc.sourceArticles publicats en revistes (Fonaments Clínics)-
dc.subject.classificationMalalties del pulmó-
dc.subject.classificationDiagnòstic-
dc.subject.classificationMalalties autoimmunitàries-
dc.subject.otherPulmonary diseases-
dc.subject.otherDiagnosis-
dc.subject.otherAutoimmune diseases-
dc.titleImpact of a systematic evaluation of connective tissue disease on diagnosis approach in patients with interstitial lung diseases-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec707025-
dc.date.updated2021-02-15T15:48:50Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.pmid31977850-
Appears in Collections:Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)
Articles publicats en revistes (Fonaments Clínics)

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