Improving predictability of IgE-high type 2 chronic sinusitis with nasal polyps in the biologic era

Abstract Background Chronic rhinosinusitis (CRS) is an inflammatory disease that may require biological therapy. Omalizumab is an anti-IgE biologic that was recently approved by the FDA and Health Canada for use in severe CRS with nasal polyps (CRSwNP) recalcitrant to intranasal corticosteroids. Dos...

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Main Authors: Austin Heffernan, Jobanjit Phulka, Andrew Thamboo
Format: Article
Language:English
Published: SAGE Publishing 2022-05-01
Series:Journal of Otolaryngology - Head and Neck Surgery
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Online Access:https://doi.org/10.1186/s40463-022-00580-y
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author Austin Heffernan
Jobanjit Phulka
Andrew Thamboo
author_facet Austin Heffernan
Jobanjit Phulka
Andrew Thamboo
author_sort Austin Heffernan
collection DOAJ
description Abstract Background Chronic rhinosinusitis (CRS) is an inflammatory disease that may require biological therapy. Omalizumab is an anti-IgE biologic that was recently approved by the FDA and Health Canada for use in severe CRS with nasal polyps (CRSwNP) recalcitrant to intranasal corticosteroids. Dosing is based on weight and pre-treatment serum IgE, with elevated levels of the latter being an indication for biologic treatment according to EPOS and EUFOREA guidelines. The goal of this study was to identify variables that predict IgE-high type 2 inflammation and serve as indicators for biologic treatment in CRS. Methods Patients ≥ 19 yo diagnosed with CRS undergoing functional endoscopic sinus surgery were included retrospectively. Demographics, past medical history, preoperative blood work, Lund-Mackay (LM), Lund Kennedy (LK), and SNOT-22 scores were extracted. Descriptive statistics and binary logistic regression analyses were conducted. Model superiority was based on Nagelkerke R2 scores and receiver operating characteristic curves. Results Sixty-five patients, average age 49.96 ± 13.59 years, were included. Sixty-one binary logistic regression models for elevated serum IgE were created. Among the top 3 models, the best model had sensitivity, specificity, positive predictive value and negative predictive values of 82.1, 69.2, 80.0, and 72.0. All performance measures except sensitivity exceeded the Canadian Biologics Guideline model. Serum eosinophils ≥ 300 cell/uL, CRSwNP and LM ≥ 17 increased the odds of elevated IgE. Conclusions IgE-high type-2 inflammation can be predicted by a model that includes eosinophil ≥ 300 cell/uL, CRSwNP, LM ≥ 17, asthma diagnosis and SNOT-22 ≥ 40. Patients meeting these parameters have a high pretest probability for elevated IgE and would benefit from IgE serology to determine qualification for omalizumab. This could reduce unwarranted IgE serology in patients with CRSwNP but also target a patient population for further workup that will lead to optimization of resource allocation and improve healthcare equity in rural and remote areas within Canada.
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spelling doaj-art-66c1317a282f4a0187beccae0ee8e7b12025-02-03T10:54:11ZengSAGE PublishingJournal of Otolaryngology - Head and Neck Surgery1916-02162022-05-015111910.1186/s40463-022-00580-yImproving predictability of IgE-high type 2 chronic sinusitis with nasal polyps in the biologic eraAustin Heffernan0Jobanjit Phulka1Andrew Thamboo2Division of Otolaryngology – Head and Neck Surgery, Department of Surgery, University of British ColumbiaDivision of Otolaryngology – Head and Neck Surgery, Department of Surgery, University of British ColumbiaDivision of Otolaryngology – Head and Neck Surgery, Department of Surgery, University of British ColumbiaAbstract Background Chronic rhinosinusitis (CRS) is an inflammatory disease that may require biological therapy. Omalizumab is an anti-IgE biologic that was recently approved by the FDA and Health Canada for use in severe CRS with nasal polyps (CRSwNP) recalcitrant to intranasal corticosteroids. Dosing is based on weight and pre-treatment serum IgE, with elevated levels of the latter being an indication for biologic treatment according to EPOS and EUFOREA guidelines. The goal of this study was to identify variables that predict IgE-high type 2 inflammation and serve as indicators for biologic treatment in CRS. Methods Patients ≥ 19 yo diagnosed with CRS undergoing functional endoscopic sinus surgery were included retrospectively. Demographics, past medical history, preoperative blood work, Lund-Mackay (LM), Lund Kennedy (LK), and SNOT-22 scores were extracted. Descriptive statistics and binary logistic regression analyses were conducted. Model superiority was based on Nagelkerke R2 scores and receiver operating characteristic curves. Results Sixty-five patients, average age 49.96 ± 13.59 years, were included. Sixty-one binary logistic regression models for elevated serum IgE were created. Among the top 3 models, the best model had sensitivity, specificity, positive predictive value and negative predictive values of 82.1, 69.2, 80.0, and 72.0. All performance measures except sensitivity exceeded the Canadian Biologics Guideline model. Serum eosinophils ≥ 300 cell/uL, CRSwNP and LM ≥ 17 increased the odds of elevated IgE. Conclusions IgE-high type-2 inflammation can be predicted by a model that includes eosinophil ≥ 300 cell/uL, CRSwNP, LM ≥ 17, asthma diagnosis and SNOT-22 ≥ 40. Patients meeting these parameters have a high pretest probability for elevated IgE and would benefit from IgE serology to determine qualification for omalizumab. This could reduce unwarranted IgE serology in patients with CRSwNP but also target a patient population for further workup that will lead to optimization of resource allocation and improve healthcare equity in rural and remote areas within Canada.https://doi.org/10.1186/s40463-022-00580-yChronic RhinosinusitisImmunoglobulin-EBiomarkersEndotypeMonoclonal antibodiesBiologics
spellingShingle Austin Heffernan
Jobanjit Phulka
Andrew Thamboo
Improving predictability of IgE-high type 2 chronic sinusitis with nasal polyps in the biologic era
Journal of Otolaryngology - Head and Neck Surgery
Chronic Rhinosinusitis
Immunoglobulin-E
Biomarkers
Endotype
Monoclonal antibodies
Biologics
title Improving predictability of IgE-high type 2 chronic sinusitis with nasal polyps in the biologic era
title_full Improving predictability of IgE-high type 2 chronic sinusitis with nasal polyps in the biologic era
title_fullStr Improving predictability of IgE-high type 2 chronic sinusitis with nasal polyps in the biologic era
title_full_unstemmed Improving predictability of IgE-high type 2 chronic sinusitis with nasal polyps in the biologic era
title_short Improving predictability of IgE-high type 2 chronic sinusitis with nasal polyps in the biologic era
title_sort improving predictability of ige high type 2 chronic sinusitis with nasal polyps in the biologic era
topic Chronic Rhinosinusitis
Immunoglobulin-E
Biomarkers
Endotype
Monoclonal antibodies
Biologics
url https://doi.org/10.1186/s40463-022-00580-y
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