{"id":591301,"date":"2026-09-05T20:48:34","date_gmt":"2026-09-05T20:48:34","guid":{"rendered":"https:\/\/www.newsbeep.com\/nz\/591301\/"},"modified":"2026-09-05T20:48:34","modified_gmt":"2026-09-05T20:48:34","slug":"prospective-seasonal-allergic-rhinitis-classification","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/nz\/591301\/","title":{"rendered":"Prospective Seasonal Allergic Rhinitis Classification"},"content":{"rendered":"<p>PROSPECTIVE symptom recording\u00a0identified\u00a0substantial recall bias in\u00a0<a href=\"https:\/\/www.emjreviews.com\/allergy-immunology\/news\/artificial-intelligence-improves-seasonal-allergic-rhinitis-diagnosis\/\" rel=\"nofollow noopener\" target=\"_blank\">seasonal allergic rhinitis<\/a>\u00a0(SAR) classification and enabled distinct severity groups to be\u00a0identified\u00a0using electronic symptom diary (e-Diary) data. The findings suggest that prospective patient-reported symptoms could support more precise assessment and management of SAR.\u00a0<\/p>\n<p>The multicentre observational study included 815 children and adults with SAR across nine study centres in Mediterranean countries. Participants recorded daily organ-specific symptoms using the\u00a0Rhinoconjunctivitis\u00a0Total Symptom Score (RTSS), alongside overall symptoms using a visual analogue scale (VAS) and quality-of-life measures through an e-Diary app.\u00a0<\/p>\n<p>Retrospective clinical questionnaires were completed at the beginning and end of the pollen season. Researchers then compared prospective symptom recordings with retrospective classification based on the Allergic Rhinitis and its Impact on Asthma (ARIA) framework.\u00a0<\/p>\n<p>Recall Bias Affected Symptom Assessment\u00a0<\/p>\n<p>The comparison\u00a0demonstrated\u00a0substantial differences between retrospectively reported and prospectively recorded symptoms. Among patients with available data, 56\/164 (34.1%) retrospectively overestimated symptom frequency, while 173\/366 (47.3%) underestimated it.\u00a0<\/p>\n<p>A moderate correlation was\u00a0observed\u00a0between SAR severity reported at the end of the pollen season and severity recorded prospectively. These findings\u00a0indicated\u00a0that retrospective assessment did not consistently reflect the frequency or severity of symptoms experienced during the season.\u00a0<\/p>\n<p>The researchers\u00a0subsequently\u00a0used unsupervised clustering around medoids to classify patients according to their prospective patient-reported data.\u00a0<\/p>\n<p>Prospective Classification Identified Severity Groups\u00a0<\/p>\n<p>The clustering analysis\u00a0identified\u00a0distinct mild, moderate, and severe SAR groups. Classification incorporated the prospective severity of organ-specific symptoms measured by RTSS, overall symptoms assessed using VAS, and quality-of-life measures.\u00a0<\/p>\n<p>The findings suggest that prospective e-Diary recording may provide a more consistent representation of symptom burden than retrospective recall alone. A prospective SAR classification inspired by the existing ARIA approach could therefore enable more precise evaluation of individual patients.\u00a0<\/p>\n<p>For clinical practice, the approach may support improved characterisation of disease severity and inform more tailored SAR management. Further application of prospective\u00a0patient-reported data could help address the recall bias\u00a0identified\u00a0in conventional retrospective classification.\u00a0<\/p>\n<p>Reference\u00a0<\/p>\n<p>Dramburg\u00a0S et al.\u00a0Classification of\u00a0seasonal allergic rhinitis patients by prospective patient-recorded symptoms: The @IT.2020 Project. Allergy.2026;DOI:10.1111\/all.70447.\u00a0<\/p>\n<p>Featured image:\u00a0jiriviehmann\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"PROSPECTIVE symptom recording\u00a0identified\u00a0substantial recall bias in\u00a0seasonal allergic rhinitis\u00a0(SAR) classification and enabled distinct severity groups to be\u00a0identified\u00a0using electronic symptom&hellip;\n","protected":false},"author":2,"featured_media":591302,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[134,111,139,69],"class_list":["post-591301","post","type-post","status-publish","format-standard","has-post-thumbnail","category-health","tag-health","tag-new-zealand","tag-newzealand","tag-nz"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/591301","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/comments?post=591301"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/591301\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media\/591302"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media?parent=591301"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/categories?post=591301"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/tags?post=591301"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}