Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

[Evaluation of blood eosinophil in the diagnosis of eosinophilic chronic rhinosinusitis].

Authors: Z, Li; L, Han; Q J, You; X W, Rao; M H, Jia; J L, Liu; Y, Zhang;

[Evaluation of blood eosinophil in the diagnosis of eosinophilic chronic rhinosinusitis].

Abstract

To evaluate the practice of peripheral blood eosinophil in the diagnosis of eosinophilic chronic rhinosinusitis(ECRS).The correlation between eosinophil count and percentage in peripheral blood and that in topic tissue in 787 patients (the first affiliated hospital of Wenzhou medical university, from Jan. 2013 to Jun. 2016) with chronic rhinosinusitis (CRS) were retrospectively analysed. The optimal cutoff value of blood eosinophil count and percentage as predictors for ECRS was determined by receiver operating characteristic curves (ROC) and their diagnostic ability was compared.The positive correlation between eosinophil count and percentage in blood and that in tissue was found respectively in 787 patients with CRS (r=0.450, 0.499, 0.463, 0.465, P<0.01). Although the significant correlation between blood eosinophil count and its count and percentage in tissue was not found after blood leukocyte and tissue eosinophilic inflammation was controlled respectively (r=0.041, P=0.380; r=0.046, P=0.329 and r=0.023, P=0.618; r=0.032, P=0.499), blood eosinophil percentage still showed significant correlation with tissue eosinophil count and percentage, but reduced unequally after that(r=0.383, 0.436 and r=0.153, 0.169, P<0.01). With ROC analysis, the diagnostic ability of optimal cut off values of eosinophil count and percentage varied as the histological criteria for ECRS differed.Eosinophil in peripheral blood showed significant positive correlation with its tissue infiltration, which may be not strong and easily effected by individual factors.Theoretically, blood eosinophil may have a diagnostic significance as a predictor for ECRS but not practically.

Related Organizations
Keywords

Eosinophils, Leukocyte Count, ROC Curve, Chronic Disease, Humans, Sinusitis, Retrospective Studies, Rhinitis

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!