TY - JOUR
T1 - A comprehensive analysis of the stability of blood eosinophil levels
AU - Chipps, Bradley E.
AU - Jarjour, Nizar
AU - Calhoun, William J.
AU - Iqbal, Ahmar
AU - Haselkorn, Tmirah
AU - Yang, Ming
AU - Brumm, Jochen
AU - Corren, Jonathan
AU - Holweg, Cecile T.J.
AU - Bafadhel, Mona
N1 - Funding Information:
Acknowledgment: The authors thank Nicole Tom, Ph.D., of Envision Pharma Inc., for providing third-party writing assistance, which was funded by Genentech, Inc., a member of the Roche Group, and Novartis Pharmaceuticals Corporation.
Funding Information:
Supported by Genentech, Inc. The included studies (LUTE and VERSE) and this analysis were funded by Genentech, Inc., a member of the Roche Group, and Novartis Pharma AG.
Publisher Copyright:
© 2021 by the American Thoracic Society.
PY - 2021/12
Y1 - 2021/12
N2 - Rationale: Blood eosinophil counts are used to inform diagnosis/management of eosinophilic asthma. Objectives: Examine blood eosinophil variability and identify factors affecting eosinophil levels to inform clinical interpretation. Methods: Post hoc analysis to understand eosinophil variability using data from four randomized controlled asthma trials. We examined 1) influence of intrinsic/extrinsic factors (comorbidities, medication, and patient history) using baseline data (n = 2,612); 2) monthly variation using placebo-treated patient data (n = 713); 3) stability of eosinophil classification (,150, 150-299, and >300 cells/ml) in placebo-treated patients with monthly measurements over a 1-year period (n = 751); and 4) impact of technical factors (laboratory-to-laboratory differences and time from collection to analysis). Results: Of intrinsic/extrinsic factors examined, nasal polyps increased eosinophil levels by 38%, whereas current smoking decreased levels by 23%. Substantial seasonal differences in eosinophil counts were observed, with differences of ∼20% between July and January. Eosinophil levels between 150 and 299 cells/ml were least stable, with 44% of patients remaining in the same classification for seven of 10 measurements versus 59% and 66% of patients in the ,150 and ≥300 cells/ml subgroups, respectively. Measurements at different laboratories showed high association (Spearman's correlation coefficient, R = 0.89); however, eosinophil counts were reduced, with longer time from collection to analysis, and variability increased with increasing eosinophil counts. Conclusions: Several intrinsic, extrinsic, and technical factors may influence, and should be considered in, clinical interpretation of eosinophil counts. Additionally, a single measurement may not be sufficient when using eosinophil counts for diagnosis/management of eosinophilic asthma.
AB - Rationale: Blood eosinophil counts are used to inform diagnosis/management of eosinophilic asthma. Objectives: Examine blood eosinophil variability and identify factors affecting eosinophil levels to inform clinical interpretation. Methods: Post hoc analysis to understand eosinophil variability using data from four randomized controlled asthma trials. We examined 1) influence of intrinsic/extrinsic factors (comorbidities, medication, and patient history) using baseline data (n = 2,612); 2) monthly variation using placebo-treated patient data (n = 713); 3) stability of eosinophil classification (,150, 150-299, and >300 cells/ml) in placebo-treated patients with monthly measurements over a 1-year period (n = 751); and 4) impact of technical factors (laboratory-to-laboratory differences and time from collection to analysis). Results: Of intrinsic/extrinsic factors examined, nasal polyps increased eosinophil levels by 38%, whereas current smoking decreased levels by 23%. Substantial seasonal differences in eosinophil counts were observed, with differences of ∼20% between July and January. Eosinophil levels between 150 and 299 cells/ml were least stable, with 44% of patients remaining in the same classification for seven of 10 measurements versus 59% and 66% of patients in the ,150 and ≥300 cells/ml subgroups, respectively. Measurements at different laboratories showed high association (Spearman's correlation coefficient, R = 0.89); however, eosinophil counts were reduced, with longer time from collection to analysis, and variability increased with increasing eosinophil counts. Conclusions: Several intrinsic, extrinsic, and technical factors may influence, and should be considered in, clinical interpretation of eosinophil counts. Additionally, a single measurement may not be sufficient when using eosinophil counts for diagnosis/management of eosinophilic asthma.
KW - Asthma
KW - Diagnosis
KW - Eosinophil count
KW - Patient management
UR - http://www.scopus.com/inward/record.url?scp=85117045304&partnerID=8YFLogxK
U2 - 10.1513/AnnalsATS.202010-1249OC
DO - 10.1513/AnnalsATS.202010-1249OC
M3 - Article
C2 - 33891831
AN - SCOPUS:85117045304
SN - 2329-6933
VL - 18
SP - 1978
EP - 1987
JO - Annals of the American Thoracic Society
JF - Annals of the American Thoracic Society
IS - 12
ER -