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Additional file 1: Table S1. of Multiple biomarkers predict disease severity, progression and mortality in COPD

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Association Between Biomarkers and COPD Outcomes. Table S2. Statistical Models. Table S3. Demographics of Subjects at Baseline: COPDGene Cohort*. Table S4. Demographics of Subjects at Baseline: ECLIPSE Cohort*. Table S5. Analysis of COPDGene cohort. Grey shading indicates each model with lines for each biomarker in that model. Columns are beta coefficient in model (B), odds ratio, standard error (SE), correlation coefficient (R2) or pseudo R2 Cragg and Uhlerâ s (CU) or R2m (the marginal portion of the R2), Akaike Information Criteria (AIC), and number of subjects analyzed (N). The type of model is listed on top right of table. The best model highlighted in yellow. Table S6. Analysis of ECLIPSE cohort. Best model in ECLIPSE cohort highlighted in yellow. Grey shading indicates each model with lines for each biomarker in that model. Columns are beta coefficient in model (B), odds ratio, standard error (SE), correlation coefficient (R2) or pseudo R2 Cragg and Uhlerâ s (CU) or R2m (the marginal portion of the R2), Akaike Information Criteria (AIC), and number of subjects analyzed (N). The type of model is listed on top right of table. Best model in COPDGene cohort in red font. Table S7. Biomarkers Associated with FEV1/FVC. Table S8. Biomarkers Associated with (A) Total (Moderate and Severe) Exacerbations and (B) Severe Exacerbations in the Previous 12 Months. Table S9. Biomarkers Associated with (A) Prospective Total (Moderate and Severe) Exacerbations or (B) Prospective Severe Exacerbations. Table S10. Enrollment Centers. Table S11. Baseline Characteristics of Subjects with Biomarker Data Compared with Entire COPDGene Cohort. Table S12. Correlation Between Biomarkers. Table S13. Biomarkers Associated with Mortality. Analysis of COPDGene and ECLIPSE cohorts by C-statistic. Covariates were BODE, age, age2, gender, and severe exacerbations. (ZIP 485 kb)

生物标志物与慢性阻塞性肺疾病(Chronic Obstructive Pulmonary Disease, COPD)转归的关联。补充表S2:统计模型。补充表S3:基线受试者人口学特征:COPDGene队列*。补充表S4:基线受试者人口学特征:ECLIPSE队列*。补充表S5:COPDGene队列分析。灰色底纹代表各模型,每行对应模型中的一种生物标志物。列依次为模型中的β系数(B)、比值比、标准误(SE)、相关系数(R²)或Cragg-Uhler伪决定系数(CU)、R2m(即R²的边际部分)、赤池信息准则(AIC)以及纳入分析的受试者例数(N)。模型类型标注于表格右上角,最优模型以黄色高亮显示。补充表S6:ECLIPSE队列分析。ECLIPSE队列中的最优模型以黄色高亮显示,灰色底纹代表各模型,每行对应模型中的一种生物标志物。列依次为模型中的β系数(B)、比值比、标准误(SE)、相关系数(R²)或Cragg-Uhler伪决定系数(CU)、R2m(即R²的边际部分)、赤池信息准则(AIC)以及纳入分析的受试者例数(N)。模型类型标注于表格右上角,COPDGene队列的最优模型以红色字体标注。补充表S7:与第一秒用力呼气容积/用力肺活量(FEV1/FVC)相关的生物标志物。补充表S8:与(A)过去12个月内总急性加重(中度与重度)及(B)重度急性加重相关的生物标志物。补充表S9:与(A)前瞻性总急性加重(中度与重度)或(B)前瞻性重度急性加重相关的生物标志物。补充表S10:入组中心。补充表S11:具备生物标志物数据的受试者基线特征与完整COPDGene队列的对比。补充表S12:生物标志物间的相关性。补充表S13:与死亡率相关的生物标志物。基于C统计量的COPDGene与ECLIPSE队列分析。协变量包括BODE指数、年龄、年龄平方、性别以及重度急性加重。(ZIP格式,大小485 KB)
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2017-12-18
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