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EGPA Phenotyping: Not Only ANCA, but Also Eosinophils.
Matucci, Andrea; Vivarelli, Emanuele; Perlato, Margherita; Mecheri, Valentina; Accinno, Matteo; Cosmi, Lorenzo; Parronchi, Paola; Rossi, Oliviero; Vultaggio, Alessandra.
Afiliação
  • Matucci A; Immunoallergology Unit, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy.
  • Vivarelli E; Immunology and Cellular Therapy Unit, Department of Experimental and Clinical Medicine, Careggi University Hospital, 50134 Florence, Italy.
  • Perlato M; Immunology and Cellular Therapy Unit, Department of Experimental and Clinical Medicine, Careggi University Hospital, 50134 Florence, Italy.
  • Mecheri V; Immunology and Cellular Therapy Unit, Department of Experimental and Clinical Medicine, Careggi University Hospital, 50134 Florence, Italy.
  • Accinno M; Immunoallergology Unit, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy.
  • Cosmi L; Immunoallergology Unit, Department of Experimental and Clinical Medicine, Careggi University Hospital, 50134 Florence, Italy.
  • Parronchi P; Immunology and Cellular Therapy Unit, Department of Experimental and Clinical Medicine, Careggi University Hospital, 50134 Florence, Italy.
  • Rossi O; Immunoallergology Unit, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy.
  • Vultaggio A; Immunoallergology Unit, Department of Experimental and Clinical Medicine, Careggi University Hospital, 50134 Florence, Italy.
Biomedicines ; 11(3)2023 Mar 03.
Article em En | MEDLINE | ID: mdl-36979755
BACKGROUND: Eosinophilic Granulomatosis with Polyangiitis (EGPA) is a small-vessel necrotizing vasculitis. The anti-neutrophil cytoplasmic antibodies' (ANCA) role in defining clinical EGPA phenotypes is well established. Although the role of eosinophils in disease pathogenesis has been clearly demonstrated, the value of blood eosinophil count (BEC) as a biomarker of disease phenotypes is currently uncertain. METHODS: We retrospectively analyzed EGPA patients referred to our Immunology Clinic. Demographic, laboratory and clinical features were retrieved from clinical records, and a Logistic Regression was fitted to evaluate the predictive power of all baseline clinical and laboratory features to define EGPA phenotypes. RESULTS: 168 patients were recruited. BEC ≤ 1500 cells/mL was predictive of a clinical involvement characterized by asthma, chronic rhinosinusitis with nasal polyps (CRSwNP) and lung opacities (OR 0.18, 95% CI 0.07-0.43; respiratory-limited phenotype); BEC > 3500/mL was predictive of extrapulmonary organ involvement (OR 3.5, 95% CI 1.7-7.1; systemic phenotype). BEC was also predictive of peripheral nervous system (PNS) involvement, with a positive trend with increasing BEC (<1500/mL: OR 0.17, 95%CI, 0.06-0.47; >3500/mL: OR 2.8, 95% CI, 1.5-5.28). ANCA positivity was also predictive of extrapulmonary involvement (OR 4.7, 95% CI 1.9-11.99). CONCLUSIONS: according to BEC and irrespective of the ANCA status, two EGPA phenotypes could be identified, named systemic and respiratory-limited phenotypes, with different organ involvement and possibly different prognoses.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Biomedicines Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Biomedicines Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália