KMID : 0363320200410040583
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Journal of Korean Oriental Internal Medicine 2020 Volume.41 No. 4 p.583 ~ p.598
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A Cross-sectional Study of Deficiency-Excess Pattern Identification with Blood Cytokines and Characteristics of Patients with Asthma
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Yu Chang-Hwan
Kang Sung-Woo Hong Sung-Eun Kim Kwan-Il Lee Beom-Joon Jung Hee-Jae
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Abstract
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Objective: The aims of this study were to analyze deficiency-excess pattern identification and to compare the blood cytokines in patients with asthma.
Methods: A total of 112 patients with asthma who met the inclusion and exclusion criteria were divided into deficiency syndrome and excess syndrome groups. Blood was examined for eotaxin, interleukin (IL)-1¥â, IL-4, IL-5, IL-6, IL-13, and tumor necrosis factor (TNF)-¥á. The Quality of Life Questionnaire for Adult Korean Asthmatics (QLQAKA), a Visual Analogue Scale (VAS), and heart rate variability (HRV) tests were administered to both groups.
Results: Pattern identification divided the 112 patients into two categories: a deficiency syndrome group (N=52) and an excess syndrome group (N=60). Analysis of blood cytokines showed higher levels of IL-4, IL-5, and IL-13 in the deficient pattern than in the excess pattern group, but the difference was not statistically significant. Analysis of the HRV revealed a significantly higher mean value for the very-low-frequency (VLF) and high-frequency (HF) bands in the deficiency than in the excess syndrome group. The morbidity duration was longer in the deficiency than in the excess syndrome group, but the difference was not statistically significant. Analysis of the QLQAKA and VAS scores showed a negative correlation, whereas BMI and VAS showed a positive correlation.
Conclusions: Levels of blood cytokines, including eotaxin, IL-1¥â, IL-4, IL-5, IL-6, IL-13, and TNF-¥á, did not differ statistically between the deficiency and excess syndrome groups. The development of a more accurate asthma-specific pattern identification tool would be useful in asthma control.
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KEYWORD
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asthma, pattern identification, deficiency-excess pattern, blood cytokine, QLQAKA, visual analogue scale (VAS)
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