Obesity's effect on asthma extends to diagnostic criteria
Obesity's effect on asthma extends to diagnostic criteria
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DOI：
10.1016/j.jaci.2017.04.047
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发表时间：
2018-03-01
影响因子：
14.2
通讯作者：
Kraft, Monica
中科院分区：
文献类型：
--
作者：
Lugogo, Njira;Green, Cynthia L.;Kraft, Monica
背景：使用炎症生物标志物来描述哮喘患者肺部炎症的类型越来越普遍。然而，肥胖对这些指标的影响尚不清楚。目的：我们旨在确定肥胖对哮喘受试者常规炎症标志物的影响。方法：我们对先前参加2项哮喘临床研究网络试验的652名受试者的数据进行了二次分析。我们在生物标志物和逻辑回归分析之间进行了线性相关性分析，以确定IgE水平、血嗜酸性粒细胞计数和呼出一氧化氮值的分数与痰嗜酸性粒细胞计数的关系的预测价值（>.2 %），并确定是否存在切点，以最大限度地提高预测3个体重组痰嗜酸性粒细胞的敏感性和特异性。结果：总体而言，4种炎症指标之间的相关性均有统计学意义，但相关性较弱。在肥胖受试者中，发现的唯一显著相关性是IgE水平与血液嗜酸性粒细胞计数(r = 0.33， P
Background: The use of inflammatory biomarkers to delineate the type of lung inflammation present in asthmatic subjects is increasingly common. However, the effect of obesity on these markers is unknown.Objectives: We aimed to determine the effect of obesity on conventional markers of inflammation in asthmatic subjects.Methods: We performed secondary analysis of data from 652 subjects previously enrolled in 2 Asthma Clinical Research Network trials. We performed linear correlations between biomarkers and logistic regression analysis to determine the predictive value of IgE levels, blood eosinophil counts, and fraction of exhaled nitric oxide values in relationship to sputum eosinophil counts (> 2%), as well as to determine whether cut points existed that would maximize the sensitivity and specificity for predicting sputum eosinophilia in the 3 weight groups.Results: Overall, statistically significant but relatively weak correlations were observed among all 4 markers of inflammation. Within obese subjects, the only significant correlation found was between IgE levels and blood eosinophil counts (r = 0.33, P