Diagnosing eosinophilic asthma using a multivariate prediction model based on blood granulocyte responsiveness

Hilvering B.; Vijverberg S. J. H.; Jansen J.; Houben L.; Schweizer R. C.; Go S.; Xue L.; Pavord I. D.; Lammers J. -W. J.; Koenderman L.

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Diagnosing eosinophilic asthma using a multivariate prediction model based on blood granulocyte responsiveness

机译：基于血粒细胞反应性的多变量预测模型诊断嗜酸性嗜嗜酸性哮喘

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Background: The identification of inflammatory asthma phenotypes, using sputum analysis, has proven its value in diagnosis and disease monitoring. However due to technical limitations of sputum analysis, there is a strong need for fast and noninvasive diagnostics. This study included the activation state of eosinophils and neutrophils in peripheral blood to phenotype and monitor asthma.

机译：背景：使用痰液分析的炎症性哮喘表型的鉴定证明了其在诊断和疾病监测中的价值。然而，由于痰液分析的技术限制，有很强的需要快速和非侵入性的诊断。该研究包括外周血中嗜酸性粒细胞和中性粒细胞的激活状态，与表型和监测哮喘。

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《Allergy》 |2017年第8期|共10页
作者
Hilvering B.; Vijverberg S. J. H.; Jansen J.; Houben L.; Schweizer R. C.; Go S.; Xue L.; Pavord I. D.; Lammers J. -W. J.; Koenderman L.;
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作者单位

Univ Med Ctr Utrecht Dept Resp Med Lab Translat Immunol Heidelberglaan 100 NL-3854 CX Utrecht;

Univ Med Ctr Utrecht Dept Resp Med Lab Translat Immunol Heidelberglaan 100 NL-3854 CX Utrecht;

Radboud Univ Nijmegen Inst Mol &

Mat Nijmegen Netherlands;

Univ Med Ctr Utrecht Dept Resp Med Lab Translat Immunol Heidelberglaan 100 NL-3854 CX Utrecht;

Univ Med Ctr Utrecht Dept Resp Med Lab Translat Immunol Heidelberglaan 100 NL-3854 CX Utrecht;

Univ Oxford Nuffield Dept Med Oxford England;

Univ Oxford Nuffield Dept Med Oxford England;

Univ Oxford Nuffield Dept Med Oxford England;

Univ Med Ctr Utrecht Dept Resp Med Lab Translat Immunol Heidelberglaan 100 NL-3854 CX Utrecht;

Univ Med Ctr Utrecht Dept Resp Med Lab Translat Immunol Heidelberglaan 100 NL-3854 CX Utrecht;

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正文语种 eng
中图分类医学免疫学;
关键词
eosinophil; FeNO; nasal polyps; sputum; aspirin sensitivity;

机译：嗜酸性粒细胞;FENO;鼻息肉;痰;阿司匹林敏感性;

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专利

1. Diagnosing eosinophilic asthma using a multivariate prediction model based on blood granulocyte responsiveness [J] . Hilvering B., Vijverberg S. J. H., Jansen J., Allergy . 2017,第8期

机译：基于血粒细胞反应性的多变量预测模型诊断嗜酸性嗜嗜酸性哮喘
2. Reactions of eosinophilic granulocytes in the sputum and peripheral blood of children suffering from bronchial asthma with signs of eosinophilic and non-eosinophilic inflammation of the bronchi [J] . O. K. Koloskova, T. M. Bilous, M. V. Dikal, Regulatory Mechanisms in Biosystems . 2017,第1期

机译：支气管哮喘患儿痰液和外周血中嗜酸性粒细胞与支气管嗜酸性和非嗜酸性炎症迹象的反应
3. Similar activation of sputum granulocytes in eosinophilic and non-eosinophilic asthma [J] . Bart Hilvering, Tamar Tak, Kiki Tesselaar, Clinical and Translational Allergy . 2015,第2期

机译：嗜酸性和非嗜酸性哮喘中痰粒细胞的激活类似
4. Support Vector Machines as Multivariate Calibration Model for Prediction of Blood Glucose Concentration Using a New Non-invasive Optical Method Named Pulse Glucometry [C] . Ogawa, M., Yamakoshi, Engineering in Medicine and Biology Society, 2007 Annual International Conference of the IEEE . 2007

机译：支持向量机作为多变量校准模型，使用一种名为脉冲血糖仪的新型非侵入性光学方法来预测血糖浓度
5. The level of organizational effectiveness of the (ICI) construction firm: A multivariate model-based prediction methodology. [D] . Adas, Adnan A. 1996

机译：（ICI）建筑公司的组织有效性水平：一种基于模型的多变量预测方法。
6. Phenotyping asthma using an unsupervised prediction model based on blood granulocyte responsiveness [O] . Bart Hilvering, Susanne Vijverberg, Jeroen Jansen, 2015

机译：使用基于血液粒细胞反应性的无监督预测模型进行哮喘表型分型
7. Phenotyping asthma using an unsupervised prediction model based on blood granulocyte responsiveness [O] . 2015

机译：使用基于血液粒细胞反应性的无监督预测模型进行哮喘表型分型

Diagnosing eosinophilic asthma using a multivariate prediction model based on blood granulocyte responsiveness

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