Diagnostic accuracy of blood eosinophils in comparison to other common biomarkers for identifying sputum eosinophilia in patients with chronic cough.
Diagnostic accuracy of blood eosinophils in comparison to other common biomarkers for identifying sputum eosinophilia in patients with chronic cough.
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DOI:
10.1016/j.waojou.2023.100819
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发表时间:
2023-09
影响因子:
5.1
通讯作者:
Lai, Kefang
中科院分区:
文献类型:
--
作者:
Yi, Fang;Fang, Zhangfu;Liang, Hanwen;Huang, Lianrong;Jiang, Mei;Feng, Zien;Xiang, Keheng;Chen, Zhe;Luo, Wei;Lai, Kefang
Sputum eosinophilia is a treatable trait for chronic cough. It is currently not clear whether the blood eosinophil counts could be used to identify sputum eosinophilia in patients with chronic cough. This study aimed to evaluate the diagnostic accuracy of blood eosinophils in comparison to other common type 2 biomarkers for identifying sputum eosinophilia in patients with chronic cough. In this prospective study, a total of 658 patients with chronic cough were enrolled. Induced-sputum test, routine blood test, total immunoglobulin E (TIgE), and fractional exhaled nitric oxide (FeNO) level were measured. The percentage of sputum eosinophils (Eos%) ≥ 2.5% was defined as sputum eosinophilia. The area under the curve (AUC) of blood eosinophil counts, TIgE, and FeNO alone or in combination for predicting sputum eosinophilia were analyzed. The AUC of blood eosinophil counts for predicting sputum eosinophilia in chronic cough patients was moderate [0.826 (0.767–0.885)], as compared to that of FeNO [0.784 (0.720–0.849), P = 0.280] and TIgE [0.686 (0.613–0.760), P = 0.001]. When combining blood eosinophil counts and FeNO for detecting sputum eosinophilia, a significantly larger AUC [0.868 (0.814–0.923), with a sensitivity of 84.2% and a specificity of 82.8%] was yielded, as compared to each single marker alone (all P < 0.05). Blood eosinophil counts have a moderate diagnostic value for identifying sputum eosinophilia in patients with chronic cough, while a combination of blood eosinophil counts and FeNO measurement can provide additional predictive value.
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影响因子:
5
作者:
Sadeghi MH;Wright CE;Hart S;Crooks M;Morice AH
通讯作者:
Morice AH
DOI:
10.1164/rccm.200406-710st
发表时间:
2005-04-15
影响因子:
24.7
作者:
American Thoracic Society;European Respiratory Society
通讯作者:
European Respiratory Society
DOI:
10.1016/j.jaip.2019.12.019
发表时间:
2020-05-01
影响因子:
9.4
作者:
Caspard, Herve;Ambrose, Christopher S.;Zeiger, Robert S.
通讯作者:
Zeiger, Robert S.
DOI:
10.1136/bmj.h5527
发表时间:
2015-10-28
期刊:
BMJ (Clinical research ed.)
影响因子:
--
作者:
Bossuyt PM;Reitsma JB;Bruns DE;Gatsonis CA;Glasziou PP;Irwig L;Lijmer JG;Moher D;Rennie D;de Vet HC;Kressel HY;Rifai N;Golub RM;Altman DG;Hooft L;Korevaar DA;Cohen JF;STARD Group
通讯作者:
STARD Group
影响因子:
8.3
作者:
Chipps BE;Jarjour N;Calhoun WJ;Iqbal A;Haselkorn T;Yang M;Brumm J;Corren J;Holweg CTJ;Bafadhel M
通讯作者:
Bafadhel M