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利用总血清IgE水平变化预测中重度哮喘患者对奥马珠单抗的临床反应

Prediction of clinical response to omalizumab in moderate-to-severe asthma patients using the change in total serum IgE level.

作者信息

Li Bohou, Huang Minyu, Huang Shuyu, Zeng Xiaoli, Yuan Yafei, Peng Xianru, Zhao Wenqu, Ye Yanmei, Yu Changhui, Liu Laiyu, Ou Chunquan, Cai Shaoxi, Zhao Haijin

机构信息

Chronic Airways Diseases Laboratory, Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Department of the Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.

出版信息

J Thorac Dis. 2020 Dec;12(12):7097-7105. doi: 10.21037/jtd-20-2073.

Abstract

BACKGROUND

Omalizumab (OMA) is an effective anti-immunoglobulin E (IgE) treatment for moderate-to-severe asthma. However, predicting an individual's response is difficult. Monitoring change of total serum IgE may be useful for predicting the response to OMA. The purpose of this study was to determine if measuring the change in total IgE level could predict the response to OMA in patients with moderate-to-severe asthma.

METHODS

This study included 25 patients (11 females and 14 males; mean age =46.1 years; mean pre-bronchodilator FEV1% =67.8%) with moderate-to-severe asthma. All patients were treated with OMA, and total IgE serum concentrations were measured at baseline before treatment (median baseline total serum IgE =210 IU/mL) and at 4 weeks after beginning treatment. Patients were divided into responders (i.e., excellent or good response) and non-responders (i.e., moderate or poor response) using the global treatment effectiveness (GETE) response method after 16 weeks of treatment. The characteristics of responders and non-responders were compared, and receiver operating characteristic (ROC) curve analysis was used to determine the ability of change in IgE level to predict treatment response.

RESULTS

There were 20 responders (80%) and 5 non-responders (20%), and responders demonstrated better improvements of asthma control test (ACT) and asthma control questionnaire (ACQ) scores, and reduction of oral corticosteroid use as compared with non-responders. Twenty-one patients had a total serum IgE 4-week-to-baseline ratio ≥2, and 20 of the patients responded to OMA. The area under the ROC curve (AUC) for baseline IgE level for predicting treatment response was 0.53 (95% CI: 0.18-0.88), and that of the week 4 IgE level was 0.69 (95% CI: 0.42-0.96). Using a cutoff value of 2, the 4-week: baseline IgE ratio achieved the highest AUC of 0.87 (95% CI: 0.64-1), with a sensitivity and specificity of 100% and 80%, respectively, for predicting treatment response.

CONCLUSIONS

A total week 4 serum IgE level:baseline level ratio ≥2 can predict the response to OMA in patients with moderate-to-severe asthma after 16 weeks of treatment with high likelihood. Monitoring changes of total IgE level in asthma patients treated OMA may be useful for predicting clinical response.

摘要

背景

奥马珠单抗(OMA)是一种用于治疗中重度哮喘的有效抗免疫球蛋白E(IgE)药物。然而,预测个体反应较为困难。监测血清总IgE的变化可能有助于预测对OMA的反应。本研究的目的是确定测量总IgE水平的变化是否能够预测中重度哮喘患者对OMA的反应。

方法

本研究纳入了25例中重度哮喘患者(11例女性和14例男性;平均年龄 = 46.1岁;支气管扩张剂前FEV1%平均值 = 67.8%)。所有患者均接受OMA治疗,并在治疗前基线时(基线血清总IgE中位数 = 210 IU/mL)和开始治疗后4周测量血清总IgE浓度。治疗16周后,采用整体治疗效果(GETE)反应方法将患者分为反应者(即良好或优秀反应)和无反应者(即中度或差反应)。比较反应者和无反应者的特征,并采用受试者工作特征(ROC)曲线分析来确定IgE水平变化预测治疗反应的能力。

结果

有20例反应者(80%)和5例无反应者(20%),与无反应者相比,反应者在哮喘控制测试(ACT)和哮喘控制问卷(ACQ)评分方面有更好的改善,口服糖皮质激素的使用也有所减少。21例患者血清总IgE 4周与基线水平之比≥2,其中20例患者对OMA有反应。预测治疗反应的基线IgE水平的ROC曲线下面积(AUC)为0.53(95%CI:0.18 - 0.88),第4周IgE水平的AUC为0.69(95%CI:0.42 - 0.96)。使用截断值2时,4周:基线IgE比值的AUC最高,为0.87(95%CI:0.64 - 1),预测治疗反应的敏感性和特异性分别为100%和80%。

结论

治疗16周后,第4周血清IgE水平与基线水平之比≥2能够高度预测中重度哮喘患者对OMA的反应。监测接受OMA治疗的哮喘患者血清总IgE水平的变化可能有助于预测临床反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb87/7797858/d38db2ccf916/jtd-12-12-7097-f1.jpg

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