{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T20:20:33Z","timestamp":1770582033472,"version":"3.49.0"},"reference-count":34,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2017,4,4]],"date-time":"2017-04-04T00:00:00Z","timestamp":1491264000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100008593","name":"European Respiratory Society","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008593","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100004410","name":"European Molecular Biology Organization","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004410","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Allergy"],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>The identification of inflammatory asthma phenotypes, using sputum analysis, has proven its value in diagnosis and disease monitoring. However due to technical limitations of sputum analysis, there is a strong need for fast and noninvasive diagnostics. This study included the activation state of eosinophils and neutrophils in peripheral blood to phenotype and monitor asthma.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>To (i) construct a multivariable model using the activation state of blood granulocytes, (ii) compare its diagnostic value with sputum eosinophilia as gold standard and (iii) validate the model in an independent patient cohort.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Clinical parameters, activation of blood granulocytes and sputum characteristics were assessed in 115 adult patients with asthma (training cohort\/Utrecht) and 34 patients (validation cohort\/Oxford).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The combination of blood eosinophil count, fractional exhaled nitric oxide, Asthma Control Questionnaire, medication use, nasal polyposis, aspirin sensitivity and neutrophil\/eosinophil responsiveness upon stimulation with formyl\u2010methionyl\u2010leucyl phenylalanine was found to identify sputum eosinophilia with 90.5% sensitivity and 91.5% specificity in the training cohort and with 77% sensitivity and 71% specificity in the validation cohort (relatively high percentage on oral corticosteroids [<jats:styled-content style=\"fixed-case\">OCS<\/jats:styled-content>]).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The proposed prediction model identifies eosinophilic asthma without the need for sputum induction. The model forms a noninvasive and externally validated test to assess eosinophilic asthma in patients not on <jats:styled-content style=\"fixed-case\">OCS<\/jats:styled-content>.<\/jats:p><\/jats:sec>","DOI":"10.1111\/all.13117","type":"journal-article","created":{"date-parts":[[2016,12,28]],"date-time":"2016-12-28T12:56:53Z","timestamp":1482929813000},"page":"1202-1211","source":"Crossref","is-referenced-by-count":17,"title":["Diagnosing eosinophilic asthma using a multivariate prediction model based on blood granulocyte responsiveness"],"prefix":"10.1111","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7223-0281","authenticated-orcid":false,"given":"B.","family":"Hilvering","sequence":"first","affiliation":[{"name":"Department of Respiratory Medicine Laboratory of Translational Immunology University Medical Centre Utrecht Utrecht The Netherlands"},{"name":"Nuffield Department of Medicine Oxford University Oxford UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S. 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