Li S, Zhang Z, Wang L, Yan X, Jiang Y, Yu L. Diagnostic significance of peripheral blood indices for eosinophilic chronic rhinosinusitis in Chinese adults.
Eur Arch Otorhinolaryngol 2024;
281:1337-1345. [PMID:
37938374 DOI:
10.1007/s00405-023-08324-y]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 10/27/2023] [Indexed: 11/09/2023]
Abstract
OBJECTIVE
Eosinophilic chronic rhinosinusitis (eCRS) is a refractory subtype of CRS. This study aimed to compare the differences in clinical features and peripheral blood indices between eCRS and non-eCRS Chinese patients and identify the predictive factors for eCRS.
METHODS
In this study, a total of 1352 patients with CRS were enrolled and divided into eCRS and non-eCRS groups based on the degree of eosinophilic infiltration in histopathology, and their demographic and clinical characteristics, as well as peripheral blood indices, were compared. Logistic regression analysis was used to identify the factors associated with eCRS, and the optimal cut-off values of predictors were determined using subject working curves.
RESULTS
As compared to those in the non-eCRS group patients, the proportion of males, age, proportion of smokers, peripheral blood eosinophil count, and erythrocyte count were significantly higher, while the peripheral blood neutrophil count, platelet count, neutrophil/lymphocyte count ratio (NLR), platelet/lymphocyte count ratio (PLR), and neutrophil × platelet/lymphocyte count ratio (SII index) were significantly lower in the eCRS group patients. Logistic regression analysis showed that age, peripheral blood neutrophil count, eosinophil count, and platelet count were independent predictors of eCRS, and eosinophil count > 2.05 × 108/L could be used as a diagnostic marker for eCRS with a sensitivity and specificity of 87.1% and 78.3%, respectively.
CONCLUSIONS
There were significant differences in the clinical features of eCRS and non-eCRS patients. Peripheral blood eosinophil count could early and more accurately predict eCRS.
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