Literature DB >> 35191233

Association Between Clinical Burden and Blood Eosinophil Counts in Asthma: Findings From a Korean Adult Asthma Cohort.

Mi-Yeong Kim1, Eun-Jung Jo2, Sujeong Kim3, Min-Hye Kim4, Jae-Woo Jung5, Joo-Hee Kim6, Ji-Yong Moon7, Jae-Woo Kwon8, Jae-Hyun Lee9, Chan Sun Park10, Hyun Jung Jin11, Yoo Seob Shin12, Sae-Hoon Kim13, Young-Joo Cho4, Jung-Won Park9, Sang-Heon Cho14, Tae-Bum Kim15, Hye-Kyung Park16.   

Abstract

BACKGROUND: Some reports have suggested that the clinical and economic burdens of asthma are associated with blood eosinophil levels. The association between clinical burden and blood eosinophil counts were evaluated in a Korean adult asthma cohort.
METHODS: Clinical information including blood eosinophil counts that were not affected by systemic corticosteroids were extracted from the Cohort for Reality and Evolution of Adult Asthma in Korea database. Clinical burden was defined as 1) asthma control status, 2) medication demand and 3) acute exacerbation (AE) events during 1 consecutive year after enrollment. All patients were divided into atopic and non-atopic asthmatics. The associations between asthma outcomes and the blood eosinophil count were evaluated.
RESULTS: In total, 302 patients (124 atopic and 178 non-atopic asthmatics) were enrolled. In all asthmatics, the risk of severe AE was higher in patients with blood eosinophil levels < 100 cells/µL than in patients with levels ≥ 100 cells/µL (odds ratio [OR], 5.406; 95% confidence interval [CI], 1.266-23.078; adjusted P = 0.023). Among atopic asthmatics, the risk of moderate AE was higher in patients with blood eosinophil levels ≥ 300 cells/µL than in patients with levels < 300 cells/µL (OR, 3.558; 95% CI, 1.083-11.686; adjusted P = 0.036). Among non-atopic asthmatics, the risk of medication of Global Initiative for Asthma (GINA) steps 4 or 5 was higher in patients with high blood eosinophil levels than in patients with low blood eosinophil levels at cutoffs of 100, 200, 300, 400, and 500 cells/µL.
CONCLUSION: The baseline blood eosinophil count may predict the future clinical burden of asthma.
© 2022 The Korean Academy of Medical Sciences.

Entities:  

Keywords:  Asthma; Blood Eosinophils; Clinical Burden

Mesh:

Year:  2022        PMID: 35191233      PMCID: PMC8860771          DOI: 10.3346/jkms.2022.37.e57

Source DB:  PubMed          Journal:  J Korean Med Sci        ISSN: 1011-8934            Impact factor:   2.153


INTRODUCTION

Asthma is defined as chronic airway inflammation and reversible airway limitation.1 The traditional concept of asthma inflammation involves an acute hypersensitivity reaction to specific IgE and a type 2 (TH2) cell response.2 However, with the increasing understanding of the relevant inflammatory mechanisms, there has been recognition that eosinophils, neutrophils, and microgranulocytes are all involved in asthma-mediated airway inflammation and other clinical manifestations. Recently, the terms “T2 high” and “T2 low” have been used to describe asthma inflammation.2 Type 2 inflammatory biomarkers comprise the fraction of exhaled nitric oxide, the serum IgE level, blood and/or sputum eosinophil levels, and serum periostin levels.2 Given the increasing interest in the roles played by these biomarkers, some authors have investigated whether they might predict future asthma exacerbations. Blood eosinophil count is the most widely used indicator for eosinophilic asthmatics to initiate biologics such as IL-5 monoclonal antibody.34 The blood eosinophil count is associated with the extent of asthma control and acute exacerbations (AEs).5678 A high eosinophil count has been associated with a future risk of AEs in patients with both general and severe asthma.67 A 2014 study from the USA reported an association between the baseline blood eosinophil count and asthma exacerbation within the next year, according to findings from the National Health and Nutrition Examination Survey database. The risk of asthma exacerbation increased in adults with eosinophil counts ≥ 300 cells/µL, compared to < 300 cells/µL. A 2016 study from the UK used cohort data to calculate the relative risks of exacerbation in the years before and after blood eosinophil measurements. Patients with blood eosinophil counts ≥ 400 cells/µL experienced more severe exacerbations.7 These studies employed surveys or medical records with diagnostic codes and key signs of AE such as the use of a systemic corticosteroid or antibiotics. Furthermore, systemic steroid exposure was not considered, and atopic and non-atopic statuses (one of the “T2 high” axes) were neither distinguished nor adjusted. Therefore, we examined the association between the clinical burden of asthma and blood eosinophil count in a Korean adult asthma cohort with consideration of the factors mentioned above.

METHODS

Study population

Clinical information was extracted retrospectively from the database of the Cohort for Reality and Evolution of Adult Asthma in Korea (COREA).9 Asthmatics in this cohort were recruited by allergists and pulmonologists beginning in 2005.1011 In 2018, 21 centers were participating in the cohort study.1011 The data extraction period was July 2005 to February 2018. At enrollment in the COREA cohort, laboratory results within 3 months and medication history within 1 month were collected. The inclusion criteria were as follows: 1) blood eosinophil count collected within 1 month and no exposure to systemic corticosteroids within 1 month or blood eosinophil count collected within 3 months and no treatment; 2) age ≥ 18 years; 3) 1 consecutive year of follow-up; 4) positive result in inhalant allergen skin prick test; and 5) ≥ 50% drug compliance. Patients with chronic obstructive lung disease were excluded. We divided all patients into atopic and non-atopic asthmatics, then assessed the impact of the blood eosinophil count on the outcomes of either group.

Data collection

Data were collected using the Clinical Record Form (CRF) completed at enrollment, as well as four consecutive 3-month follow-up CRFs recorded in the COREA cohort database. Asthma was diagnosed if airway reversibility or hypersensitivity was demonstrated in a patient with asthma-related symptoms (cough, dyspnea or wheezing). Airway reversibility was defined as an increase of ≥ 12% and ≥ 200 mL in the forced expiratory volume in 1 second (FEV1) after the inhalation of a bronchodilator or after treatment. Airway hypersensitivity was defined by the bronchoprovocation test using methacholine or mannitol; the diagnostic values were PC20 ≤ 25 mg/mL and PD15 ≤ 635 mg. “PC20” refers to the provocative concentration of methacholine causing a 20% reduction in the FEV1; PD15 refers to the provocative dose of mannitol causing a 15% reduction in the FEV1. Asthma control state, asthma medication, drug compliance, and history of AEs were checked at 3-month intervals. Age, sex, body mass index (BMI), serum total IgE level, sputum eosinophil percentage, presence of rhinosinusitis, smoking status, and the results of the inhalant allergen skin prick test, pulmonary function test, bronchial provocation test and asthma control test (ACT) were reviewed. The baseline blood eosinophil counts were collected from the enrollment data, as were the percentages of eosinophils in the total white blood cell count/µL. Atopy was defined as a positive result for more than one allergen in the inhalant allergen skin prick test.12 A skin prick test result was considered positive if the mean wheal size for any allergen was greater than or equal to the mean wheal size for histamine (allergen/histamine ratio ≥ 1).13 Drug compliance was scored from 0 to 100 points depending on the amount of drug remaining at each visit. Asthma AEs were directly assessed by the cohort researchers: the type of visit (total visits, outpatient department [OPD], emergency department [ED], admission to a ward and admission to the intensive care unit [ICU]), and number of visits were collected.9 An OPD visit because of an asthma AE was defined as a moderate exacerbation; and an ED visit or hospitalization because of an asthma AE was defined as a severe exacerbation.

Definition of the clinical burden

Clinical burden was defined as 1) asthma control status, 2) medication demand and 3) exacerbation events during 1 consecutive year after enrollment. Asthma control status included the control state assigned by the clinician at the end of the year (well vs. partially/uncontrolled); a change in asthma control state (from well-controlled to partially/uncontrolled vs. from partially/uncontrolled to well-controlled); and the mean ACT score during the year (mean value ≥ 20 vs. < 19).14 Medication demand included the Global Initiative for Asthma (GINA) step (2019 GINA report) (steps 1–3 vs. steps 4, 5); a change in GINA medication (from steps 4, 5 to steps 1–3 vs. from steps 1–3 to steps 4, 5) and the inhaled corticosteroid (ICS) dose (low dose vs. medium-to-high dose) at the end of the year.15

Statistical analysis

Statistical analysis was performed using SPSS version 25 (IBM Co., Armonk, NY, USA). Means and percentages were compared by independent samples t-test, Pearson’s χ2 test, or Fisher’s exact test. Binominal logistic regression were conducted to adjust for age, sex, BMI, smoking status, baseline FEV1, baseline GINA medication step, and mean drug compliance when comparing clinical asthma burden. Two-sided P values < 0.05 were considered indicative of statistical significance. Missing data were excluded from the analysis.

Ethics statement

This study was approved by the Institutional Review Board (IRB) of Inje University Busan Paik Hospital (IRB No. 18-0008). Informed consent was waived because of the retrospective nature of the study.

RESULTS

Baseline clinical characteristics and clinical burden of asthma

A flow diagram of the eligible patients is shown in Fig. 1. In total, 302 asthmatics were enrolled, including 124 with atopic and 178 with non-atopic asthma. Their clinical characteristics are shown in Table 1. Atopic asthmatics, compared with non-atopic asthmatics, were younger (42.7 ± 13.6 vs. 54.8 ± 13.1 years, P < 0.001), had a greater proportion of men (56.5% vs. 36.5%, P = 0.001), had a higher mean serum total IgE level (555.9 ± 692.3 vs. 272.5 ± 417.8 IU/mL, P < 0.001), and had a greater proportion of current smokers. The mean BMI values, blood eosinophil counts, FEV1 predicted values, asthma control statuses, and GINA medication statuses were similar between atopic and non-atopic asthmatics. Although the data were limited, the mean PC20 and PD15 values were also similar between atopic and non-atopic asthmatics. The mean ACT score was slightly higher in non-atopic asthmatics, but the scores were > 20 in both groups (22.2 ± 3.0 vs. 21.4 ± 3.5, P = 0.046). No asthmatic patients visited the hospital with an asthma AE during the year before enrollment. The clinical burden during the year is shown in Table 2; this burden did not differ between atopic and non-atopic asthmatics.
Fig. 1

A flow diagram of eligible subjects from the COREA database.

COREA = Cohort for Reality and Evolution of Adult Asthma in Korea.

Table 1

Baseline clinical characteristics of study population

Clinical factorsAll asthmatics (302 subjects)Atopic asthmatics (124 subjects)Non-atopic asthmatics (178 subjects)Atopic vs. non-atopic P value
Age, yr49.5 ± 14.542.7 ± 13.654.8 ± 13.1< 0.001
Male135 (44.7)70 (56.5)65 (35.5)0.001
BMI, kg/m224.2 ± 3.423.8 ± 3.724.5 ± 3.20.081
Serum total IgE, IU/mL381.0 ± 555.2555.9 ± 692.3 (n = 67)272.5 ± 417.8 (n = 108)< 0.001
Blood eosinophil, cells/µL388.1 ± 397.2424.4 ± 364.7362.8 ± 417.60.185
Sputum eosinophil ≥ 3%32/4210/1622/261.000
FEV1 of predicted value, %81.3 ± 18.079.9 ± 24.10.567
PC20, mg/mL5.3 ± 5.84.8 ± 5.5 (n = 60)5.7 ± 5.9 (n = 92) 0.382
PD15, mg185.5 ± 114.6154.3 ± 130.1 (n = 5)201.0 ± 110.1 (n = 10)0.478
Rhinosinusitis history17/535/2312/300.158
Smoking history< 0.001
Never smoker153 (50.7)54 (43.6)99 (55.6)
Ex-smoker112 (37.1)44 (35.4)68 (38.2)
Current smoker36 (12.0)26 (21.0)10 (5.6)
Asthma control state0.803
Well-controlled1406080
Partly/Uncontrolled361521
ACT score21.9 ± 3.221.4 ± 3.522.2 ± 3.00.046
GINA medication step0.950
Steps 1–3126 (41.7)52 (42.0)74 (41.6)
Steps 4, 5176 (58.3)72 (58.1)104 (58.4)
ICS dose0.415
Low dose59 (19.5)21 (16.9)38 (21.4)
Medium-to-high dose151 (50.0)63 (50.8)88 (49.4)

Data are presented as mean ± SD (total number collected), number (%) or number/total number collected. The total number collected is described when the number of collections is insufficient. There were limited data about asthma control status at first regular visit during one consecutive year (49 patients in atopic asthmatics and 71 patients in non-atopic asthmatics were not evaluated).

BMI = body mass index, FEV1 = forced expiratory volume in 1 second, PC20 = provocative concentration causing a 20% fall in forced expiratory volume in 1 second, PD15 = provocative dose causing a 15% fall in forced expiratory volume in 1 second, ACT = asthma control test, GINA = Global Initiative for Asthma, ICS= inhaled corticosteroid.

Table 2

Clinical burden of study population

Clinical factorsAll asthmatics (302 subjects)Atopic asthmatics (124 subjects)Non-atopic asthmatics (178 subjects)Atopic vs. non-atopic P value
Asthma control status
Asthma control state0.323
Well-controlled146 (48.3)60 (48.4)86 (48.3)
Partially/Uncontrolled38 (12.6)19 (15.3)19 (10.7)
Change of asthma control state0.148
Partially/Uncontrolled to well24 (8.0)7 (5.7)17 (9.6)
Well to partially/Uncontrolled22 (7.3)11 (8.9)11 (6.2)
ACT score, mean0.539
≥ 20256 (84.8)107 (86.3)149 (83.7)
< 1946 (15.2)17 (13.7)29 (16.3)
Medication demand
Medication step, GINA0.591
Steps 1–3128 (42.4)55 (44.4)73 (41.0)
Steps 4, 5173 (57.3)69 (55.6)104 (58.4)
Change of GINA step0.510
Steps 4, 5 to 1–334 (11.3)11 (8.9)23 (12.9)
Steps 1–3 to 4, 532 (10.6)8 (6.5)24 (13.5)
ICS dose0.587
Low dose101 (33.4)39 (31.5)62 (34.8)
Medium-to-high dose145 (48.0)61 (49.2)84 (47.2)
Asthma AE
Asthma AEs0.275
No252 (83.4)100 (80.6)152 (85.4)
Yes50 (16.6)24 (19.4)26 (14.6)
Severity of AE0.630
Moderate41 (13.6)19 (15.3)22 (12.4)
Severe11 (3.6)6 (4.8)5 (2.8)

Data are presented as number (%).

ACT = asthma control test, GINA = Global Initiative for Asthma, ICS = inhaled corticosteroid, AE = acute exacerbation.

A flow diagram of eligible subjects from the COREA database.

COREA = Cohort for Reality and Evolution of Adult Asthma in Korea. Data are presented as mean ± SD (total number collected), number (%) or number/total number collected. The total number collected is described when the number of collections is insufficient. There were limited data about asthma control status at first regular visit during one consecutive year (49 patients in atopic asthmatics and 71 patients in non-atopic asthmatics were not evaluated). BMI = body mass index, FEV1 = forced expiratory volume in 1 second, PC20 = provocative concentration causing a 20% fall in forced expiratory volume in 1 second, PD15 = provocative dose causing a 15% fall in forced expiratory volume in 1 second, ACT = asthma control test, GINA = Global Initiative for Asthma, ICS= inhaled corticosteroid. Data are presented as number (%). ACT = asthma control test, GINA = Global Initiative for Asthma, ICS = inhaled corticosteroid, AE = acute exacerbation.

Clinical burden according to the blood eosinophil count in all asthmatics

The associations between clinical burden of asthma and blood eosinophil levels in all asthmatics (adjusted for age, sex, BMI, smoking status, the baseline FEV1, the baseline GINA medication step, and mean drug compliance) are shown in Table 3. The asthma control state, any change in that state, and the mean ACT score were similar in the low and high eosinophil groups at all eosinophil cut-off values. Furthermore, asthma medication demand (in terms of the GINA step), any change in the GINA step, and the ICS dose were also similar. Of all patients, 16.6% experienced AEs (OPD visit, 13.6%; ED visit, 2.0%; admission to a ward, 1.7%). No patient was admitted to an ICU. The percentages of patients who experienced AEs were similar between the high and low eosinophil groups at all blood eosinophil cut-off values. The percentage of patients who experienced moderate AEs were also similar. Comparisons of groups divided according to blood eosinophil counts of 100 cells/µL indicated that the percentage of patients who experienced severe asthma AEs was higher in the low eosinophil group (5/51, 9.8%) than in the high eosinophil group (6/212, 2.8%) (odds ratio [OR], 5.406; 95% confidence interval [CI], 1.266–23.078; adjusted P = 0.023).
Table 3

Comparison of clinical burden according to the blood eosinophil count in all asthmatics (n = 302)

Clinical burdenBlood eosinophil count, cells/µLOR (95% CI)aP valuea
Asthma control status
Asthma control state (Well-controlled vs. Partially/Uncontrolled)< 100 vs. ≥ 1001.903 (0.557–6.507)0.305
< 200 vs. ≥ 2000.883 (0.384–2.028)0.769
< 300 vs. ≥ 3000.698 (0.322–1.514)0.363
< 400 vs. ≥ 4000.707 (0.305–1.641)0.420
< 500 vs. ≥ 5000.549 (0.212–1.420)0.216
Change of asthma control state (Partially/Uncontrolled to well vs. Well to partially/Uncontrolled)< 100 vs. ≥ 1000.275 (0.607–10.767)0.490
< 200 vs. ≥ 2000.467 (0.068–3.223)0.440
< 300 vs. ≥ 3000.359 (0.060–2.147)0.261
< 400 vs. ≥ 4000.158 (0.016–1.529)0.111
< 500 vs. ≥ 5000.040 (0.001–1.292)0.069
ACT score, mean (≥ 20 vs. < 19)< 100 vs. ≥ 1001.055 (0.438–2.540)0.904
< 200 vs. ≥ 2000.947 (0.46–1.932)0.881
< 300 vs. ≥ 3001.561 (0.786–3.101)0.203
< 400 vs. ≥ 4001.386 (0.678–2.831)0.371
< 500 vs. ≥ 5000.867 (0.396–1.899)0.722
Medication demand
Medication step, GINA (Steps 1–3 vs. Steps 4, 5)< 100 vs. ≥ 1001.697 (0.823–3.500)0.152
< 200 vs. ≥ 2001.676 (0.918–3.030)0.092
< 300 vs. ≥ 3001.425 (0.798–2.545)0.232
< 400 vs. ≥ 4001.637 (0.859–3.118)0.134
< 500 vs. ≥ 5001.728 (0.846–3.528)0.133
Change of GINA step (Steps 4, 5 to 1–3 vs. Steps 1–3 to 4, 5)< 100 vs. ≥ 1002.579 (0.538–12.369)0.236
< 200 vs. ≥ 2002.599 (0.776–8.701)0.121
< 300 vs. ≥ 3001.520 (0.531–4.352)0.436
< 400 vs. ≥ 4002.515 (0.779–8.118)0.123
< 500 vs. ≥ 5002.431 (0.699–8.450)0.162
ICS dose (Low dose vs. Medium-to-high dose)< 100 vs. ≥ 1001.026 (0.442–2.381)0.953
< 200 vs. ≥ 2001.317 (0.673–2.579)0.421
< 300 vs. ≥ 3000.848 (0.449–1.602)0.611
< 400 vs. ≥ 4000.851 (0.425–1.705)0.649
< 500 vs. ≥ 5000.740 (0.340–1.608)0.447
Asthma AE
Asthma AEs (No vs. Yes)< 100 vs. ≥ 1000.849 (0.396–1.819)0.674
< 200 vs. ≥ 2001.090 (0.565–2.103)0.797
< 300 vs. ≥ 3001.189 (0.630–2.244)0.594
< 400 vs. ≥ 4000.849 (0.421–1.712)0.647
< 500 vs. ≥ 5000.718 (0.326–1.583)0.412
Severity of AE (No vs. Moderate)< 100 vs. ≥ 1001.237 (0.503–3.039)0.643
< 200 vs. ≥ 2001.362 (0.653–2.844)0.410
< 300 vs. ≥ 3001.582 (0.790–3.167)0.196
< 400 vs. ≥ 4001.033 (0.485–2.201)0.933
< 500 vs. ≥ 5000.806 (0.341–1.908)0.624
Severity of AE (No vs. Severe)< 100 vs. ≥ 1000.185 (0.043–0.790)0.023
< 200 vs. ≥ 2000.417 (0.106–1.639)0.210
< 300 vs. ≥ 3000.335 (0.073–1.545)0.161
< 400 vs. ≥ 4000.543 (0.116–2.534)0.437
< 500 vs. ≥ 5000.729 (0.153–3.472)0.692

OR = odd ratio, CI = confidential interval, ACT = asthma control test, GINA = Global Initiative for Asthma, ICS = inhaled corticosteroid, AE = acute exacerbation.

aAdjusted factors were age, sex, body mass index, currently smoking, baseline forced expiratory volume in 1 second, baseline GINA medication step and mean drug compliance during 1 year. All patients had no history of acute asthma exacerbation during one year before enrollment. Baseline GINA medication step was excluded in adjusting in analyses of the change of GINA step, because there were not enough subjects to adjust.

OR = odd ratio, CI = confidential interval, ACT = asthma control test, GINA = Global Initiative for Asthma, ICS = inhaled corticosteroid, AE = acute exacerbation. aAdjusted factors were age, sex, body mass index, currently smoking, baseline forced expiratory volume in 1 second, baseline GINA medication step and mean drug compliance during 1 year. All patients had no history of acute asthma exacerbation during one year before enrollment. Baseline GINA medication step was excluded in adjusting in analyses of the change of GINA step, because there were not enough subjects to adjust.

Clinical burden according to the blood eosinophil count in atopic asthmatics

Associations between clinical burden of asthma and blood eosinophil levels in all atopic asthmatics (adjusted for age, sex, BMI, smoking status, baseline FEV1, baseline GINA medication step, and mean drug compliance) are shown in Table 4. The risk of partially/uncontrolled asthma was higher in the low eosinophil group than in the high eosinophil group (< 300 vs. ≥ 300, OR, 3.478; 95% CI, 1.009–11.986; adjusted P = 0.048; < 400 vs. ≥ 400, OR, 4.120; 95% CI, 1.077–15.759; adjusted P = 0.039; < 500 vs. ≥ 500, OR, 7.560; 95% CI, 1.398–40.881; adjusted P = 0.019). Changes in asthma control state and the mean ACT score during the year were similar in the low and high eosinophil groups at all blood eosinophil cut-off values. Furthermore, asthma medication demand (in terms of the GINA step), any change in the GINA step, and the ICS dose were also similar. Of all patients, 19.4% experienced AEs (OPD visit, 15.3%; ED visit, 3.2%; and admission to a ward, 1.6%). No patient was admitted to an ICU. The percentages of patients who experienced AEs were similar between the high and low eosinophil groups at all blood eosinophil cut-off values. Comparisons of groups divided according to a blood eosinophil count of 300 cells/µL showed that the percentage of patients who experienced moderate asthmatic AEs was higher in the high eosinophil group (14/63, 22.2%) than in the low eosinophil group (5/56, 8.9%) (OR, 3.558; 95% CI, 1.083–11.686; adjusted P = 0.036). However, no differences were evident at blood eosinophil cutoffs of 100, 200, 400 and 500 cells/µL. The percentages of patients who experienced severe asthmatic AEs were similar in all comparisons of groups divided according to the blood eosinophil counts.
Table 4

Comparison of clinical burden according to the blood eosinophil count in atopic asthmatics (N = 124)

Clinical burdenBlood eosinophil count, cells/µLOR (95% CI)aP valuea
Asthma control status
Asthma control state (Well controlled vs. Partially/Uncontrolled)< 100 vs. ≥ 1002.508 (0.190–33.166)0.485
< 200 vs. ≥ 2000.375 (0.102–1.377)0.140
< 300 vs. ≥ 3000.288 (0.083–0.991)0.048
< 400 vs. ≥ 4000.243 (0.063–0.928)0.039
< 500 vs. ≥ 5000.132 (0.024–0.715)0.019
Change of asthma control state (Partially/Uncontrolled to well vs. Well to partially/Uncontrolled)< 100 vs. ≥ 100NA0.999
< 200 vs. ≥ 200NA1.000
< 300 vs. ≥ 300NA1.000
< 400 vs. ≥ 400NA1.000
< 500 vs. ≥ 500NA0.999
ACT score, mean (≥ 20 vs. < 19)< 100 vs. ≥ 1001.186 (0.262–5.363)0.824
< 200 vs. ≥ 2001.554 (0.403–5.969)0.522
< 300 vs. ≥ 3001.561 (0.456–5.342)0.478
< 400 vs. ≥ 4002.074 (0.611–6.861)0.246
< 500 vs. ≥ 5000.463 (0.116–1.850)0.276
Medication demand
Medication step, GINA (Steps 1–3 vs. Steps 4, 5)< 100 vs. ≥ 1000.650 (0.142–2.981)0.579
< 200 vs. ≥ 2000.635 (0.198–2.034)0.444
< 300 vs. ≥ 3000.678 (0.231–1.990)0.480
< 400 vs. ≥ 4000.561 (0.184–1.708)0.309
< 500 vs. ≥ 5000.651 (0.189–2.246)0.497
Change of GINA step (Steps 4, 5 to 1–3 vs. Steps 1–3 to 4, 5)< 100 vs. ≥ 1001.013 (0.952–1.077)0.692
< 200 vs. ≥ 2000.121 (0.001–13.579)0.381
< 300 vs. ≥ 3000.687 (0.054–8.806)0.773
< 400 vs. ≥ 4000.176 (0.008–4.005)0.276
< 500 vs. ≥ 5000.560 (0.056–5.561)0.620
ICS dose (Low dose vs. Medium-to-high dose)< 100 vs. ≥ 1000.635 (0.131–3.074)0.572
< 200 vs. ≥ 2001.021 (0.328–3.175)0.972
< 300 vs. ≥ 3000.861 (0.302–2.457)0.780
< 400 vs. ≥ 4000.620 (0.211–1.822)0.384
< 500 vs. ≥ 5000.731 (0.231–2.321)0.596
Asthma AE
Asthma AEs (No vs. Yes)< 100 vs. ≥ 1000.753 (0.226–2.510)0.644
< 200 vs. ≥ 2001.058 (0.380–2.948)0.914
< 300 vs. ≥ 3001.791 (0.682–4.703)0.237
< 400 vs. ≥ 4001.380 (0.532–3.578)0.508
< 500 vs. ≥ 5000.937 (0.326–2.691)0.904
Severity of AE (No vs. Moderate)< 100 vs. ≥ 1001.825 (0.343–9.702)0.480
< 200 vs. ≥ 2002.448 (0.623–9.619)0.200
< 300 vs. ≥ 3003.558 (1.083–11.686)0.036
< 400 vs. ≥ 4002.260 (0.741–6.889)0.152
< 500 vs. ≥ 5001.245 (0.386–4.018)0.714
Severity of AE (No vs. Severe)< 100 vs. ≥ 1000.173 (0.023–1.303)0.089
< 200 vs. ≥ 2000.122 (0.013–1.164)0.068
< 300 vs. ≥ 3000.324 (0.043–2.466)0.277
< 400 vs. ≥ 4000.424 (0.051–3.489)0.425
< 500 vs. ≥ 5000.750 (0.087–6.460)0.793

OR = odd ratio, CI = confidential interval, ACT = asthma control test, GINA = Global Initiative for Asthma, ICS = inhaled corticosteroid, AE = acute exacerbation, NA = not assessed.

aAdjusted factors were age, sex, body mass index, currently smoking, baseline forced expiratory volume in 1 second, baseline GINA medication step and mean drug compliance during 1 year. All patients had no history of acute asthma exacerbation during one year before enrollment. Baseline GINA medication step was excluded in adjusting in analyses of the change of GINA step, because there were not enough subjects to adjust.

OR = odd ratio, CI = confidential interval, ACT = asthma control test, GINA = Global Initiative for Asthma, ICS = inhaled corticosteroid, AE = acute exacerbation, NA = not assessed. aAdjusted factors were age, sex, body mass index, currently smoking, baseline forced expiratory volume in 1 second, baseline GINA medication step and mean drug compliance during 1 year. All patients had no history of acute asthma exacerbation during one year before enrollment. Baseline GINA medication step was excluded in adjusting in analyses of the change of GINA step, because there were not enough subjects to adjust.

Clinical burden according to blood eosinophil count in non-atopic asthmatics

Associations between clinical burden of asthma and blood eosinophil levels in non-atopic asthmatics (adjusted for age, sex, BMI, smoking status, the baseline FEV1, the baseline GINA medication step, and mean drug compliance) are shown in Table 5. Asthma control state, any change in such state, and the mean ACT score were similar between the low and high eosinophil groups at all blood eosinophil cut-off values. The percentage of patients on GINA medications of steps 4 or 5 was higher in the high eosinophil group than in the low eosinophil group at all blood eosinophil cut-off values (100 [87/139, 62.6% vs. 17/38, 44.7%], 200 [69/106, 65.1% vs. 35/71, 49.3%], 300 [54/80, 67.5% vs. 50/97, 51.5%], 400 [35/50, 70.0% vs. 69/127, 54.3%], and 500 cells/µL [29/39, 74.4% vs. 75/138, 54.3%]). Comparisons of groups divided according to blood eosinophil counts of 400 cells/µL and 500 cells/µL showed that the risk of GINA step-up (compared to step-down) was higher in the high eosinophil group. However, the ICS doses were similar in the high and low eosinophil groups at all eosinophil cut-off values. The percentage of patients who experienced AEs was 14.6% (OPD visit, 12.4%; ED visit, 2.1%; and admission to a ward, 1.7%). No patient was admitted to an ICU. The percentages of patients who experienced AEs were similar between the high and low eosinophil groups at all blood eosinophil cut-off values. The percentages of patients who experienced moderate or severe asthmatic AEs were also similar.
Table 5

Comparison of clinical burden (asthma control status, medication demand and asthma AEs) according to the blood eosinophil count in non-atopic asthmatics (N = 178)

Clinical burdenBlood eosinophil count, cells/µLOR (95% CI)aP valuea
Asthma control status
Asthma control state (Well controlled vs. Partially/Uncontrolled)< 100 vs. ≥ 1001.314 (0.294–5.870)0.721
< 200 vs. ≥ 2001.428 (0.407–5.015)0.578
< 300 vs. ≥ 3001.236 (0.398–3.836)0.714
< 400 vs. ≥ 4001.505 (0.415–5.461)0.534
< 500 vs. ≥ 5001.247 (0.296–5.252)0.764
Change of asthma control state (Partially/Uncontrolled to well vs. Well to partially/Uncontrolled)< 100 vs. ≥ 100NA0.999
< 200 vs. ≥ 200NA0.991
< 300 vs. ≥ 300NA0.993
< 400 vs. ≥ 4000.000 (0.000–303.515)0.254
< 500 vs. ≥ 5000.000 (0.000–158.449)0.223
ACT score, mean (≥ 20 vs. < 19)< 100 vs. ≥ 1001.191 (0.388–3.656)0.760
< 200 vs. ≥ 2000.824 (0.327–2.075)0.681
< 300 vs. ≥ 3001.609 (0.650–3.982)0.303
< 400 vs. ≥ 4001.087 (0.391–3.020)0.873
< 500 vs. ≥ 5001.258 (0.417–3.796)0.683
Medication demand
Medication step, GINA (Steps 1–3 vs. Steps 4, 5)< 100 vs. ≥ 1002.534 (1.056–6.081)0.037
< 200 vs. ≥ 2002.500 (1.154–5.418)0.020
< 300 vs. ≥ 3002.154 (1.011–4.591)0.047
< 400 vs. ≥ 4003.165 (1.262–7.936)0.014
< 500 vs. ≥ 5003.462 (1.238–9.680)0.018
Change of GINA step (Steps 4, 5 to 1–3 vs. Steps 1–3 to 4, 5)< 100 vs. ≥ 1002.294 (0.445–11.828)0.321
< 200 vs. ≥ 2003.104 (0.764–12.617)0.113
< 300 vs. ≥ 3002.674 (0.652–10.968)0.172
< 400 vs. ≥ 40024.617 (1.985–305.227)0.013
< 500 vs. ≥ 50012.825 (1.265–130.075)0.031
ICS dose (Low dose vs. Medium-to-high dose)< 100 vs. ≥ 1001.365 (0.490–3.803)0.552
< 200 vs. ≥ 2001.392 (0.579–3.345)0.459
< 300 vs. ≥ 3000.783 (0.338–1.815)0.569
< 400 vs. ≥ 4000.9599 (0.360–2.557)0.933
< 500 vs. ≥ 5000.684 (0.217–2.156)0.516
Asthma AE
Asthma AEs (No vs. Yes)< 100 vs. ≥ 1000.976 (0.331–2.874)0.964
< 200 vs. ≥ 2001.092 (0.423–2.820)0.856
< 300 vs. ≥ 3000.770 (0.297–1.994)0.590
< 400 vs. ≥ 4000.386 (0.110–1.347)0.135
< 500 vs. ≥ 5000.566 (0.150–2.137)0.402
Severity of AE (No vs. Moderate)< 100 vs. ≥ 1001.043 (0.334–3.262)0.942
< 200 vs. ≥ 2000.961 (0.358–2.579)0.937
< 300 vs. ≥ 3000.850 (0.318–2.268)0.745
< 400 vs. ≥ 4000.336 (0.085–1.329)0.120
< 500 vs. ≥ 5000.489 (0.115–2.077)0.332
Severity of AE (No vs. Severe)< 100 vs. ≥ 1000.021 (0.000–0.757)0.121
< 200 vs. ≥ 2000.710 (0.057–8.813)0.790
< 300 vs. ≥ 3001.151 (0.058–23.028)0.927
< 400 vs. ≥ 4006.732 (0.173–262.056)0.307
< 500 vs. ≥ 50017.783 (0.244–1296.987)0.188

OR = odd ratio, CI = confidential interval, ACT = asthma control test, GINA = Global Initiative for Asthma, ICS = inhaled corticosteroid, AE = acute exacerbation, NA = not assessed.

Adjusted factors were age, sex, body mass index, currently smoking, baseline forced expiratory volume in 1 second, baseline GINA medication step and mean drug compliance during 1 year. All patients had no history of acute asthma exacerbation during one year before enrollment. Baseline GINA medication step was excluded in adjusting in analyses of the change of GINA step, because there were not enough subjects to adjust.

OR = odd ratio, CI = confidential interval, ACT = asthma control test, GINA = Global Initiative for Asthma, ICS = inhaled corticosteroid, AE = acute exacerbation, NA = not assessed. Adjusted factors were age, sex, body mass index, currently smoking, baseline forced expiratory volume in 1 second, baseline GINA medication step and mean drug compliance during 1 year. All patients had no history of acute asthma exacerbation during one year before enrollment. Baseline GINA medication step was excluded in adjusting in analyses of the change of GINA step, because there were not enough subjects to adjust.

Quantitative relationships between blood eosinophil levels and the clinical burden of asthma

Changes in the clinical burden of asthma when the blood eosinophil counts increased in steps of 100 cells/µL, compared to the clinical burden of asthma in the group with blood eosinophils < 100 cells/µL, are shown in Table 6. Asthma control state, GINA medication step, and the occurrences of AEs were all analyzed after adjustments for age, sex, BMI, smoking status, baseline FEV1, baseline GINA medication step, and mean drug compliance. The risk of GINA steps 4 or 5 was (roughly) quantitatively dependent on the increase in blood eosinophil counts in non-atopic asthmatics. In terms of the asthma control state of all and non-atopic asthmatics, as well as moderate exacerbation in atopic asthmatics, some (insignificant) tendencies toward positive or negative relationships with blood eosinophil levels were presented. However, we found no quantitatively dependent relationship.
Table 6

Odd ratio of clinical burden (asthma control state, GINA medication step and asthma AE) by blood eosinophil counts comparing with blood eosinophil counts < 100 cells/µL

Clinical burden (blood eosinophil counts, cells/µL)All asthmaticsAtopic asthmaticsNon-atopic asthmatics
Asthma control state (Partially/Uncontrolled)
100–2003.417 (0.764–15.284), 0.10817.366 (0.641–470.172), 0.0900.933 (0.107–8.121), 0.950
200–3002.684 (0.607–11.869), 0.1935.692 (0.268–121.50), 0.2651.418 (0.199–10.100), 0.727
300–4001.639 (0.340–7.908), 0.5382.098 (0.081–4.641), 0.6561.083 (0.169–6.632), 0.933
400–5002.771 (0.485–15.832), 0.2525.295 (0.191–146.730), 0.3252.124 (0.207–21.803), 0.526
≥ 5001.163 (0.281–4.821), 0.8350.763 (0.034–17.129), 0.8651.488 (0.236–9.392), 0.672
GINA medication step (Steps 4 or 5)
100–2001.244 (0.484–3.199), 0.6510.929 (0.127–6.793), 0.9421.573 (0.506–4.894), 0.434
200–3001.820 (0.709–4.671), 0.2130.705 (0.110–4.499), 0.7122.496 (0.737–8.449), 0.142
300–4001.371 (0.495–3.798), 0.5431.309 (0.107–16.056), 0.8331.809 (0.544–6.011), 0.333
400–5001.730 (0.526–5.686), 0.3670.464 (0.060–3.560), 0.4603.280 (0.604–17.806), 0.169
≥ 5002.348 (0.948–5.817), 0.0650.517 (0.086–3.130), 0.4735.792 (1.692–19.829), 0.005
History of asthma AE (One or More)
100–2000.653 (0.226–1.888), 0.4310.429 (0.063–2.930), 0.3880.883 (0.224–3.492), 0.860
200–3000.771 (0.267–2.225), 0.6300.288 (0.045–1.845), 0.1891.739 (0.406–7.448), 0.456
300–4001.528 (0.539–4.327), 0.4251.640 (0.251–10.693), 0.6051.649 (0.406–6.071), 0.485
400–5001.109 (0.324–3.794), 0.8691.438 (0.291–7.096), 0.656NA
≥ 5000.670 (0.253–1.774), 0.4200.715 (0.180–2.848), 0.6350.653 (0.135–3.153), 0.596
Moderate asthma AE (One or More)
100–2000.949 (0.288–3.126), 0.9320.604 (0.043–8.524), 0.7091.134 (0.277–4.644), 0.862
200–3000.891 (0.255–3.114), 0.8570.699 (0.077–6.376), 0.7511.375 (0.264–7.166), 0.705
300–4002.346 (0.745–7.389), 0.1454.940 (0.461–52.988), 0.1872.023 (0.480–8.532), 0.337
400–5001.766 (0.472–6.606), 0.3984.177 (0.535–32.638), 0.173NA
≥ 5000.983 (0.321–3.009), 0.9751.865 (0.297–11.701), 0.5060.601 (0.111–3.251), 0.555

Data are presented as adjusted odd ratio (95% confidence interval), P value. Asthma control status, GINA medication step, experience of AE and moderate AE was used to analyze. Age, sex, body mass index, smoking status, baseline forced expiratory volume in 1 second, baseline GINA medication step and mean drug compliance were adjusted.

GINA = Global Initiative for Asthma, AE = acute exacerbation, NA = not assessed.

Data are presented as adjusted odd ratio (95% confidence interval), P value. Asthma control status, GINA medication step, experience of AE and moderate AE was used to analyze. Age, sex, body mass index, smoking status, baseline forced expiratory volume in 1 second, baseline GINA medication step and mean drug compliance were adjusted. GINA = Global Initiative for Asthma, AE = acute exacerbation, NA = not assessed.

DISCUSSION

The main purpose of this study was to evaluate the association between the clinical burden of asthma and blood eosinophil counts in Korean adult asthmatics. TH2 inflammation is usually defined by reference to atopy and eosinophilic inflammation.16 Our atopic and non-atopic asthmatics partially differed in terms of age, sex, and smoking history. We sought associations between the clinical burden of asthma and blood eosinophil counts by dividing all patients into atopic and non-atopic asthmatics. We enrolled only asthmatics with good compliance; poor compliance is a major risk factor for future asthma AEs.1718 Age, sex, BMI, smoking status, baseline FEV1, baseline GINA medication step and mean drug compliance were adjusted. All enrolled patients did not have an history of asthma AE during the year before the enrollment. No patient had an asthma AE during the year before enrollment, probably because most patients who experienced AEs immediately before enrollment were excluded on the basis of systemic corticosteroid use. Among all asthmatics, the risk of severe AEs was higher in patients with blood eosinophil levels < 100 cells/µL than in patients with blood eosinophil levels ≥ 100 cells/µL. Among atopic asthmatics, the risk of moderate AEs was higher in patients with blood eosinophil levels ≥ 300 cells/µL than in patients with blood eosinophil levels < 300 cells/µL. The risk of partially/uncontrolled asthma state was higher in patients with low eosinophil levels. Among non-atopic asthmatics, the risk of a future need for a higher-step medication (GINA 4 or 5) was higher in patients with high blood eosinophil levels than in patients with low blood eosinophil levels. The risk of medication step-up (compared to step-down) was higher in patients with high eosinophil levels. Asthma AEs were not affected by the baseline eosinophil counts in non-atopic asthmatics. Not all asthmatics with atopy exhibit high blood eosinophil counts and/or eosinophilic inflammation. A 2016 study by Tran et al.19 suggested that the atopic, eosinophilic, and TH2-high asthma phenotypes overlapped. In that study, TH2-high asthma was defined as a total serum IgE ≥ 100 IU/mL and a blood eosinophil count ≥ 140 cells/µL. Although the extent of overlap in the real world remains unclear, this overlap may explain why the mean blood eosinophil counts were similar between atopic and non-atopic asthmatics in our study. Various factors that are difficult to quantify (e.g., air pollution, allergen exposure, and inhaler technique) may affect the clinical burden of asthma in a complicated manner. It may be difficult to accurately predict the future clinical burden on the basis of blood eosinophil count alone. However, many studies have found that blood eosinophil levels reflect the risk of asthma AEs.6782021 Our work is meaningful in that we analyzed the association between the clinical burden of asthma and blood eosinophil counts (which are not affected by systemic corticosteroids) in a Korean adult asthma cohort; we studied atopic and non-atopic asthmatics separately. We excluded systemic corticosteroid-dependent patients with severe asthma, as well as patients with poor compliance. Therefore, we facilitated a good understanding of the association between clinical burden and blood eosinophil counts in most asthmatics. We found no difference in ICS dose between groups divided according to the baseline blood eosinophil levels (both atopic and non-topic asthmatics). A 2015 study by Price et al.7 showed that the ICS dose per day was similar between groups in a UK cohort that was divided according to a blood eosinophil count of 400 cells/µL. In our study, although the ICS dose steps were similar, the risk of a need for high-step medication (GINA step 4 and 5) was higher in the high eosinophil group of non-atopic asthmatics. This is presumably because these patients also used other agents such as a leukotriene modifier or a long-acting muscarinic antagonist. In nonatopic asthmatics, clinicians may tend to prescribe a bronchodilator (rather than increasing the ICS dose) to control the symptoms of patients with high eosinophil counts. Airway remodeling was inhibited in IL-5-deficient mice, compared with wild-type mice.22 Patients with non-atopic asthma who experience weaker allergen-related effects might choose medications that dilate a remodeled airway, rather than control inflammation. It is unknown whether the blood eosinophil count exhibits a relationship with the extent of airway remodeling. Further studies are needed to explore such an association and define its details. In most previous studies, baseline blood eosinophil counts were not affected by systemic corticosteroid use.567 Our finding was similar in the present study. In atopic asthmatics, the blood eosinophil level was associated with the risk of moderate AEs. In all asthmatics, the risk of severe AEs was higher in the low eosinophil group (< 100 cells/µL) than in the high eosinophil group (≥ 100 cells/µL), perhaps because patients with non-eosinophilic asthma tend to not respond to conventional treatment and often develop severe AEs.2324 The risk of moderate AEs was higher in the group with high eosinophil levels (≥ 300 cells/µL) than in the group with low eosinophil levels (< 300 cells/µL), consistent with previous findings.567 However, any effect of the eosinophil level disappeared when cutoffs of 400 and 500 cells/µL were used. We found no quantitatively dependent relationship between any asthma burden and the blood eosinophil level. A blood eosinophil cutoff of 300 cells/µL may predict the risk of moderate AEs. However, at higher cutoffs, other risk factors for AE may offset the predictive power of the baseline blood eosinophil count. A 2014 study from the USA reported a difference in the risk of asthma AEs at an eosinophil cutoff of 300 cells/µL; however, the risks of AEs were similar at a cutoff of 400 cells/µL (OR, 1.49; 95% CI, 0.82–2.71).6 It remains unclear why the baseline blood eosinophil count does not strongly predict the future clinical burden of asthma. Price et al.7 found that the level of severe AEs was 2.32-fold (95% CI, 1.99–2.71) higher in a group with blood eosinophil levels ≥ 1,000 cells/µL than in a group with blood eosinophil levels < 1,000 cells/µL. Zeiger et al.5 reported a 1.31-fold (95% CI, 1.07–1.60) increase in a group with blood eosinophil levels ≥ 400 cells/µL, compared to a group with blood eosinophil levels < 400 cells/µL. Direct comparisons are difficult; the group features and the adjustment factors varied. However, the results do not suggest a very strong association between the clinical burden of asthma and blood eosinophil counts. Furthermore, eosinophil stability was not considered. Blood eosinophil counts from the same person vary over time. Jung et al.25 reported that a single eosinophil count may not suffice when managing eosinophilic asthma; several factors (including technical considerations) may influence the count. Toledo-Pons et al.26 reported that, compared with the absolute count, eosinophil variability was a better indicator of hospital episode risk. Because eosinophil stability may be problematic, other biomarkers that accurately reflect eosinophilic inflammatory status are needed. A high blood eosinophil count does not suggest that eosinophilic inflammation is severe. Depending on the patient, relatively low levels of eosinophils may affect the clinical course; some patients may be asymptomatic despite high blood eosinophil numbers.2728 A recent Korean study compared patients with severe and non-severe asthma; the serum eosinophil-derived neurotoxin level reflected severity better than did the blood eosinophil count.29 Biomarkers that directly reflect the eosinophilic inflammatory state are needed to predict future clinical burden. This study had several limitations. First, the influence of ICS on the blood eosinophil count was not considered. Inhaled high-dose budesonide (1,600 μg/day for 14 days) decreased the blood eosinophil count by approximately 200/µL in 10 asthmatics.30 The effects of other doses and types of ICS on eosinophils are unknown. Second, the 1-year period differed among patients. Seasonal effects would have been equally reflected. However, environmental factors such as air pollution and fine dust, which differ from year to year, were not considered. The numbers of patients followed up during the same year were too small to analyze. Third, more patients than expected were excluded because of poor compliance or the use of systemic corticosteroids. The impacts of these excluded patients on the outcomes were not analyzed. Furthermore, the association between the clinical burden and blood eosinophil count in asthmatics who often used systemic corticosteroids was not evaluated. In conclusion, among atopic asthmatics who were not exposed to systemic corticosteroids at enrollment in the COREA cohort, a high blood eosinophil count (≥ 300 cells/µL) could help to predict the risk of moderate AEs. Among non-atopic asthmatics, a high blood eosinophil count (≥ 100, 200, 300, 400 and 500 cells/µL) could help to predict the risk of a future need for higher-step medication. The baseline blood eosinophil count may help to predict the future clinical burden of asthma.
  29 in total

1.  Inhibition of airway remodeling in IL-5-deficient mice.

Authors:  Jae Youn Cho; Marina Miller; Kwang Je Baek; Ji Won Han; Jyothi Nayar; Sook Young Lee; Kirsti McElwain; Shauna McElwain; Stephanie Friedman; David H Broide
Journal:  J Clin Invest       Date:  2004-02       Impact factor: 14.808

2.  High blood eosinophil count is associated with more frequent asthma attacks in asthma patients.

Authors:  Trung N Tran; Deepak B Khatry; Xiongkan Ke; Christine K Ward; David Gossage
Journal:  Ann Allergy Asthma Immunol       Date:  2014-05-18       Impact factor: 6.347

3.  Medication compliance and disease exacerbation in patients with asthma: a retrospective study of managed care data.

Authors:  Lee Stern; Jeff Berman; William Lumry; Laura Katz; Lujing Wang; Lisa Rosenblatt; John J Doyle
Journal:  Ann Allergy Asthma Immunol       Date:  2006-09       Impact factor: 6.347

4.  Phase 3 Study of Reslizumab in Patients With Poorly Controlled Asthma: Effects Across a Broad Range of Eosinophil Counts.

Authors:  Jonathan Corren; Steven Weinstein; Lindsay Janka; James Zangrilli; Margaret Garin
Journal:  Chest       Date:  2016-03-25       Impact factor: 9.410

5.  Longitudinal analysis to better characterize Asthma-COPD overlap syndrome: Findings from an adult asthma cohort in Korea (COREA).

Authors:  So-Young Park; Heewon Jung; Jung-Hyun Kim; Bomi Seo; Oh Young Kwon; Sungkyoung Choi; Bermseok Oh; Hyouk-Soo Kwon; You Sook Cho; Hee-Bom Moon; Sungho Won; Taesung Park; Tae-Bum Kim
Journal:  Clin Exp Allergy       Date:  2019-02-14       Impact factor: 5.018

6.  GINA updated 2019: Landmark changes recommended for asthma management.

Authors:  Angela Duff Hogan; Jonathan A Bernstein
Journal:  Ann Allergy Asthma Immunol       Date:  2019-11-14       Impact factor: 6.347

7.  Serum Eosinophil-Derived Neurotoxin Better Reflect Asthma Control Status Than Blood Eosinophil Counts.

Authors:  Jin An; Ji-Hyang Lee; Ju Hee Sim; Woo-Jung Song; Hyouk-Soo Kwon; You Sook Cho; Hee-Bom Moon; Chang-Keun Kim; Tae-Bum Kim
Journal:  J Allergy Clin Immunol Pract       Date:  2020-04-15

8.  Effect of inhaled corticosteroids on peripheral blood eosinophil counts and density profiles in asthma.

Authors:  P M Evans; B J O'Connor; R W Fuller; P J Barnes; K F Chung
Journal:  J Allergy Clin Immunol       Date:  1993-02       Impact factor: 10.793

9.  Clinical characteristics and long-term outcomes related to sputum eosinophilia in Korean asthmatics.

Authors:  Jae-Woo Jung; Sae-Hoon Kim; Jae-Woo Kwon; Tae-Wan Kim; Hye-Ryun Kang; Heung-Woo Park; Sun-Sin Kim; Yoon-Seok Chang; Sang-Heon Cho; Kyung-Up Min
Journal:  Asia Pac Allergy       Date:  2011-03-30

10.  Impact of atopy on asthma and allergic rhinitis in the cohort for reality and evolution of adult asthma in Korea.

Authors:  An-Soo Jang; Sang-Heon Kim; Tae-Bum Kim; Heung-Woo Park; Sae-Hoon Kim; Yoon-Seok Chang; Jae Hyun Lee; You Sook Cho; Jung Won Park; Dong-Ho Nahm; Young-Joo Cho; Sang-Heon Cho; Ho Joo Yoon; Byoung-Whui Choi; Hee-Bom Moon; Choon-Sik Park
Journal:  Allergy Asthma Immunol Res       Date:  2012-12-31       Impact factor: 5.764

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