表1_重度哮喘患者生物制剂治疗前T2生物标志物组合与生物制剂反应关联

重度哮喘患者生物制剂治疗前T2生物标志物(IgE、BEC、FeNO)及其组合与生物制剂疗效关联的表格数据。

NIAID Data Ecosystem
浏览 21
表格severe asthmabiomarkerseosinophil (EOS)FeNO (Fraction of exhaled Nitric Oxide)biologicsFEV1personalized medicine (PM)
Table_1_Association between pre-biologic T2-biomarker combinations and response to biologics in patients with severe asthma.docx

基本信息

模态
表格
大小
0.00001925 GB
许可
CC BY 4.0
创建/更新时间
2026-10-09
版本
v1

资源简介

表1_重度哮喘患者生物制剂治疗前T2生物标志物组合与生物制剂反应关联

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 19.25 KB,主题涵盖 severe asthma、biomarkers、eosinophil (EOS)、FeNO (Fraction of exhaled Nitric Oxide)、biologics,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Table_1_Association between pre-biologic T2-biomarker combinations and response to biologics in patients with severe asthma.docx》。配套论文《Baseline type 2 biomarker levels and response to tezepelumab in severe asthma》发表于 Allergy(2022),DOI:10.1111/all.15197。源站首次发布:2024-04-22。

【数据内容】

源站原始描述:BackgroundTo date, studies investigating the association between pre-biologic biomarker levels and post-biologic outcomes have been limited to single biomarkers and assessment of biologic efficacy from structured clinical trials. AimTo elucidate the associations of pre-biologic individual biomarker levels or their combinations with pre-to-post biologic changes in asthma outcomes in real-life. MethodsThis was a registry-based, cohort study using data from 23 countries, which shared data with the…

【数据结构与技术规格】

文件数 1 个,合计 19.25 KB。Table_1_Association between pre-biologic T2-biomarker combinations and response to biologics in patients with severe asthma.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,19.25 KB。数据集 DOI:10.3389/fimmu.2024.1361891.s002。

【主题与分类】

源站学科分类:Transplantation Immunology、Tumour Immunology、Immunology not elsewhere classified、Immunology、Veterinary Immunology、Animal Immunology。主题标签:severe asthma、biomarkers、eosinophil (EOS)、FeNO (Fraction of exhaled Nitric Oxide)、biologics、FEV1、personalized medicine (PM)。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://frontiersin.figshare.com/articles/dataset/Table_1_Association_between_pre-biologic_T2-biomarker_combinations_and_response_to_biologics_in_patients_with_severe_asthma_docx/25663473

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Porsbjerg, Celeste M.; Townend, John; Bergeron, Celine; Christoff, George C.; Katsoulotos, Gregory P.; Larenas-Linnemann, Désirée; et al. (2024). Table_1_Association between pre-biologic T2-biomarker combinations and response to biologics in patients with severe asthma.docx. Frontiers. Dataset

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下载信息

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使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table_1_Association between pre-biologic T2-biomarker combinations and response to biologics in patients with severe asthma.docx" "https://ndownloader.figshare.com/files/45782346"

文件清单

  • Table_1_Association between pre-biologic T2-biomarker combinations and response to biologics in patients with severe asthma.docx(19.25 KB)

文件总体积 19.25 KB(源站 API 实测)。

数据说明

BackgroundTo date, studies investigating the association between pre-biologic biomarker levels and post-biologic outcomes have been limited to single biomarkers and assessment of biologic efficacy from structured clinical trials.
AimTo elucidate the associations of pre-biologic individual biomarker levels or their combinations with pre-to-post biologic changes in asthma outcomes in real-life.
MethodsThis was a registry-based, cohort study using data from 23 countries, which shared data with the International Severe Asthma Registry (May 2017-February 2023). The investigated biomarkers (highest pre-biologic levels) were immunoglobulin E (IgE), blood eosinophil count (BEC) and fractional exhaled nitric oxide (FeNO). Pre- to approximately 12-month post-biologic change for each of three asthma outcome domains (i.e. exacerbation rate, symptom control and lung function), and the association of this change with pre-biologic biomarkers was investigated for individual and combined biomarkers.
ResultsOverall, 3751 patients initiated biologics and were included in the analysis. No association was found between pre-biologic BEC and pre-to-post biologic change in exacerbation rate for any biologic class. However, higher pre-biologic BEC and FeNO were both associated with greater post-biologic improvement in FEV1 for both anti-IgE and anti-IL5/5R, with a trend for anti-IL4Rα. Mean FEV1 improved by 27-178 mL post-anti-IgE as pre-biologic BEC increased (250 to 1000 cells/µL), and by 43-216 mL and 129-250 mL post-anti-IL5/5R and -anti-IL4Rα, respectively along the same BEC gradient. Corresponding improvements along a FeNO gradient (25-100 ppb) were 41-274 mL, 69-207 mL and 148-224 mL for anti-IgE, anti-IL5/5R, and anti-IL4Rα, respectively. Higher baseline BEC was also associated with lower probability of uncontrolled asthma (OR 0.392; p=0.001) post-biologic for anti-IL5/5R. Pre-biologic IgE was a poor predictor of subsequent pre-to-post-biologic change for all outcomes assessed for all biologics. The combination of BEC + FeNO marginally improved the prediction of post-biologic FEV1 increase (adjusted R2: 0.751), compared to BEC (adjusted R2: 0.747) or FeNO alone (adjusted R2: 0.7

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fimmu.2024.1361891.s002(source: https://frontiersin.figshare.com/articles/dataset/Table_1_Association_between_pre-biologic_T2-biomarker_combinations_and_response_to_biologics_in_patients_with_severe_asthma_docx/25663473)。

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