Phenotyping of asthma population based on inflammatory blood biomarkers and characterisation of phenotypes depending on asthma control, frequency of exacerbations, and associated comorbidities.

IF 1.2 Q4 RESPIRATORY SYSTEM
Lung India Pub Date : 2025-09-01 Epub Date: 2025-09-02 DOI:10.4103/lungindia.lungindia_594_24
Bony Francis, Deepak Phalgune, Sanjay Mehendale, Jai Mullerpattan
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Abstract

Background and objective: There are very few studies in the Indian population on the prevalence of phenotypes in asthma patients. To phenotype patients with bronchial asthma and characterise the phenotypes based on asthma control, exacerbation frequency, and associated comorbidities.

Methods: The current cross-observational study was conducted between January 2022 and June 2022 in the department of pulmonary medicine in a tertiary care hospital. One hundred and seventeen patients aged 13 or above of both genders diagnosed with asthma as per Global Initiative for Asthma guidelines were enrolled. The blood eosinophil count and serum immunoglobulin E were measured. The Asthma Control Test (ACT) Questionnaire was used to calculate the ACT score. The patients were categorised into various asthma phenotypes such as atopic asthma, eosinophilic asthma, overlap phenotype, and biomarker-negative.

Results: Phenotypes such as atopic, eosinophilic, overlap, and both negative were observed in 33.3%, 20.5%, 42.7%, and 3.4% patients, respectively. The mean BMI was significantly lower in both negative patients. There was no statistically significant association observed between allergic rhinitis, chronic rhinosinusitis, and eczema with various phenotypes, whereas nasal polyposis had a significant association with eosinophilic phenotype and overlap. The median asthma exacerbations per year were significantly higher in patients of bronchial asthma, atopic and overlap phenotypes. The percentage of patients who required baseline corticosteroid support was significantly less in both negative phenotypes.

Conclusion: There is a substantial overlap of inflammatory blood biomarkers, suggesting that a more comprehensive approach is needed to identify the optimal therapy for individual patients.

基于炎症性血液生物标志物的哮喘人群表型,以及哮喘控制、发作频率和相关合并症的表型特征。
背景和目的:在印度人群中很少有关于哮喘患者表型患病率的研究。对支气管哮喘患者进行表型分析,并根据哮喘控制、发作频率和相关合并症对表型进行表征。方法:本交叉观察研究于2022年1月至2022年6月在某三级医院肺内科进行。117名13岁或以上的男女患者根据全球哮喘倡议指南被诊断为哮喘。测定血嗜酸性粒细胞计数和血清免疫球蛋白E。采用哮喘控制测试(ACT)问卷计算ACT得分。患者被分为不同的哮喘表型,如特应性哮喘、嗜酸性哮喘、重叠表型和生物标志物阴性。结果:特应性、嗜酸性、重叠、双阴性分别占33.3%、20.5%、42.7%、3.4%。两组阴性患者的平均BMI均显著降低。变应性鼻炎、慢性鼻窦炎和湿疹在不同表型上无统计学意义的相关性,而鼻息肉病与嗜酸性粒细胞表型和重叠有显著相关性。支气管哮喘、特应性和重叠表型患者每年哮喘发作的中位数明显更高。在两种阴性表型中,需要基线皮质类固醇支持的患者百分比显着减少。结论:炎症性血液生物标志物存在大量重叠,表明需要更全面的方法来确定个体患者的最佳治疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Lung India
Lung India RESPIRATORY SYSTEM-
CiteScore
2.30
自引率
12.50%
发文量
114
审稿时长
37 weeks
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