Blood Eosinophil Count as a Predictor of Asthma Exacerbation

Introduction: Asthma is a heterogeneous disease characterized by chronic airway inflammation, where eosinophils play a crucial role. Eosinophil levels are often considered a biomarker for asthma severity and treatment response. However, their relationship with asthma exacerbation severity remains unclear. This study aimed to evaluate the relationship between blood eosinophil levels and the severity of asthma exacerbations in patients at Prof. Dr. Chairuddin P. Lubis USU Hospital. Method: This study employed an analytic observational design with a retrospective cohort approach. Data were collected from 25 asthma patients through medical records, including demographic characteristics, blood eosinophil levels, and asthma exacerbation severity. The relationship between eosinophil levels and exacerbation severity was analyzed using the Whitney test. Results: The majority of asthma patients were in the 26-50 age group (44%) and predominantly female (80%). Most patients had blood eosinophil levels <100 (84%), and severe exacerbations were the most common (72%). Statistical analysis showed no significant relationship between blood eosinophil levels and asthma exacerbation severity (p = 0.976). Conclusion: This study found no significant correlation between blood eosinophil levels and asthma exacerbation severity. Other factors, such as corticosteroid use, delayed immune response, and non-eosinophilic asthma, may influence exacerbation severity. These findings emphasize the importance of a multidimensional evaluation in asthma management, including the identification of different asthma phenotypes to guide more precise treatment strategies.

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Publication Details

Journal
Journal of Society Medicine
Published
2025-02-28
DOI
https://doi.org/10.71197/jsocmed.v4i2.197
Primary Topic
Asthma and respiratory diseases
Type
article
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article

Blood Eosinophil Count as a Predictor of Asthma Exacerbation

Pandiaman Pandia, Andika Pradana, Rizki amaliah Damanik
Journal of Society Medicine
Asthma and respiratory diseases
article

Blood Eosinophil Count as a Predictor of Asthma Exacerbation

Pandiaman Pandia, Andika Pradana, Rizki amaliah Damanik
article en

Abstract

Introduction: Asthma is a heterogeneous disease characterized by chronic airway inflammation, where eosinophils play a crucial role. Eosinophil levels are often considered a biomarker for asthma severity and treatment response. However, their relationship with asthma exacerbation severity remains unclear. This study aimed to evaluate the relationship between blood eosinophil levels and the severity of asthma exacerbations in patients at Prof. Dr. Chairuddin P. Lubis USU Hospital. Method: This study employed an analytic observational design with a retrospective cohort approach. Data were collected from 25 asthma patients through medical records, including demographic characteristics, blood eosinophil levels, and asthma exacerbation severity. The relationship between eosinophil levels and exacerbation severity was analyzed using the Whitney test. Results: The majority of asthma patients were in the 26-50 age group (44%) and predominantly female (80%). Most patients had blood eosinophil levels <100 (84%), and severe exacerbations were the most common (72%). Statistical analysis showed no significant relationship between blood eosinophil levels and asthma exacerbation severity (p = 0.976). Conclusion: This study found no significant correlation between blood eosinophil levels and asthma exacerbation severity. Other factors, such as corticosteroid use, delayed immune response, and non-eosinophilic asthma, may influence exacerbation severity. These findings emphasize the importance of a multidimensional evaluation in asthma management, including the identification of different asthma phenotypes to guide more precise treatment strategies.

Journal of Society MedicineVol. 4(2)
North Sumatra Islamic University (ID)
Openalex Percentile: Top 94%
Asthma and respiratory diseases
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Blood Eosinophil Count as a Predictor of Asthma Exacerbation — Pandiaman Pandia, Andika Pradana, et al. · Journal of Society Medicine (2025) | TGRS Research Map | TGRS