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

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 determi...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797858/
https://www.ncbi.nlm.nih.gov/pubmed/33447398
http://dx.doi.org/10.21037/jtd-20-2073
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author 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
author_facet 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
author_sort Li, Bohou
collection PubMed
description 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.
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spelling pubmed-77978582021-01-13 Prediction of clinical response to omalizumab in moderate-to-severe asthma patients using the change in total serum IgE level 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 J Thorac Dis Original Article 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. AME Publishing Company 2020-12 /pmc/articles/PMC7797858/ /pubmed/33447398 http://dx.doi.org/10.21037/jtd-20-2073 Text en 2020 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
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
Prediction of clinical response to omalizumab in moderate-to-severe asthma patients using the change in total serum IgE level
title Prediction of clinical response to omalizumab in moderate-to-severe asthma patients using the change in total serum IgE level
title_full Prediction of clinical response to omalizumab in moderate-to-severe asthma patients using the change in total serum IgE level
title_fullStr Prediction of clinical response to omalizumab in moderate-to-severe asthma patients using the change in total serum IgE level
title_full_unstemmed Prediction of clinical response to omalizumab in moderate-to-severe asthma patients using the change in total serum IgE level
title_short Prediction of clinical response to omalizumab in moderate-to-severe asthma patients using the change in total serum IgE level
title_sort prediction of clinical response to omalizumab in moderate-to-severe asthma patients using the change in total serum ige level
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797858/
https://www.ncbi.nlm.nih.gov/pubmed/33447398
http://dx.doi.org/10.21037/jtd-20-2073
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