Literature DB >> 34225803

Underestimation of airway luminal eosinophilia by quantitative sputum cytometry.

Melanie Kjarsgaard1,2, Adil Adatia1,2, Anurag Bhalla1,2, Nicola LaVigne1, Katherine Radford1, Chynna Huang1, Manali Mukherjee1,2, Parameswaran Nair3,4.   

Abstract

RATIONALE: On Wright-stained sputum cytospins, eosinophil differential of ≥ 1.2% is considered abnormal, and ≥ 2.3% identifies an eosinophilic endotype. We hypothesized that failure to consider free eosinophil granules (FEG), and the re-emergence (unmasking) of eosinophilia due to various reasons underestimate the prevalence of the eosinophilic endotype.
METHODS: This is a retrospective analysis of our Institutional Review Board-approved clinical sputum database. Of the 24,176 examinations of sputa from patients with various airway diseases, 17,693 were viable cell counts from 9570 patients (6604 on a single occasion, 2967 from multiple occasions). The prevalence of intact eosinophil % at 1.2 and 2.3% thresholds was first examined. Then, additional evidence of eosinophilia was assessed by semi-quantitative enumeration of FEGs. In those patients whose sputa were examined on multiple occasions (at the time of an exacerbation or after corticosteroid dose was reduced), re-emergence (unmasking) of eosinophilia was assessed .
RESULTS: Using the threshold of eosinophilia ≥ 1.2%, 6289/17693 (35.6%) of sputa were classified as eosinophilic. This increased to 7850/17693 (44.4%) when the presence of FEGs was considered. Using the threshold of eosinophilia ≥ 2.3%, 4647/17693 (26.3%) of sputa were classified as eosinophilic. This increased to 5435/17693 (30.7%) when the presence of FEG were considered. Extrapolating from the prevalence of re-emergence observed in the 2967 patients who had sputa examined on multiple occasions to the whole sample, we estimated that eosinophilia at 1.2% threshold would be observed in at least 60% of the samples, and a clinically relevant eosinophilia at 2.3% threshold would be observed in at least 48.5% of the samples.
CONCLUSIONS: Using a large sputum cytometry clinical database (17,693 viable cell counts), we demonstrate that a single time point intact cell count underestimates the prevalence of eosinophilia in a variety of airway diseases. The prevalence of eosinophilia increases from 35.6 to 60% (40% underestimation) at the 1.2% threshold, and from 26.3 to 48.5% (45% underestimation) at the 2.3% clinically relevant threshold, when free granules and a second examination are considered. This has important implications to identify the eosinophilic and Th2 high endotype both for clinical trials of anti-eosinophil therapies, and to select patients who may respond well to glucocorticosteroids and anti-IL5 therapies.

Entities:  

Keywords:  Eosinophils; Sputum cell counts; Th2 endotype

Year:  2021        PMID: 34225803     DOI: 10.1186/s13223-021-00567-w

Source DB:  PubMed          Journal:  Allergy Asthma Clin Immunol        ISSN: 1710-1484            Impact factor:   3.406


  1 in total

1.  Eosinophil peroxidase in sputum represents a unique biomarker of airway eosinophilia.

Authors:  P Nair; S I Ochkur; C Protheroe; K Radford; A Efthimiadis; N A Lee; J J Lee
Journal:  Allergy       Date:  2013-08-09       Impact factor: 13.146

  1 in total
  3 in total

1.  How reliably can algorithms identify eosinophilic asthma phenotypes using non-invasive biomarkers?

Authors:  Diana Betancor; José María Olaguibel; José Manuel Rodrigo-Muñoz; Ebymar Arismendi; Pilar Barranco; Blanca Barroso; Irina Bobolea; Blanca Cárdaba; María Jesús Cruz; Elena Curto; Victoria Del Pozo; Francisco-Javier González-Barcala; Carlos Martínez-Rivera; Joaquim Mullol; Xavier Muñoz; Cesar Picado; Vicente Plaza; Santiago Quirce; Manuel Jorge Rial; Lorena Soto; Antonio Valero; Marcela Valverde-Monge; Joaquin Sastre
Journal:  Clin Transl Allergy       Date:  2022-08-20       Impact factor: 5.657

2.  Validation and further insight into the International Severe Asthma Registry (ISAR) eosinophil gradient algorithm in the Wessex AsThma CoHort of difficult asthma (WATCH) using historical blood eosinophil counts and induced sputum.

Authors:  Clair Barber; Adnan Azim; Colin Newell; Aref Kyyaly; Hitasha Rupani; Hans Michael Haitchi; Peter Howarth; Ramesh Kurukulaaratchy
Journal:  Clin Exp Allergy       Date:  2022-02-21       Impact factor: 5.401

Review 3.  Challenges in severe asthma: Do we need new drugs or new biomarkers?

Authors:  Adil Adatia; Harissios Vliagoftis
Journal:  Front Med (Lausanne)       Date:  2022-09-27
  3 in total

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