• Clinical and Experimental Pediatrics
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• v.49 no.3
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• pp.298-304
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• 2006

Purpose : We compared the asthma predictive index(API) and the modified asthma predictive index (mAPI) of the Tuscon Children's Respiratory Study Group in Korean children with recurrent wheezing. We investigated the atopic profiles and presence of allergen sensitization of each risk group, and ascertained the significant clinical risk factors. Methods : Two hundred and sixty two children, who visited for recurrent wheezing from 1998 to 2005, were enrolled and divided into groups by API and mAPI. We investigated the history of the patients and their families, atopic profiles, and sensitization to aeroallergen and food allergens. Twenty nine children were followed up to 6 years of age and we evaluated the sensitivity, specificity and positive and negative predictive value of both indices. Results : The high risk group of API were of older age, were more likely to be sensitized to aeroallergen(P=0.001) and food allergen(P=0.034) and had higher levels of total eosinophil count, eosinophil percent, serum ECP, total IgE, and D.p-, D.f-specific IgE. High risk group of mAPI showed higher levels of atopic markers such as egg-, milk-, D.p- and D.f-specific IgE. Even though API did not include allergen sensitization, the high risk group was more significantly sensitized to common allergens than the low risk group. Twenty nine children were followed up until 6 years of age; therefore 15 children were diagnosed as asthma, clinically. The sensitivity, specificity, positive and negative predictive values of mAPI were higher than API. Conclusion : Both high risk groups of API and mAPI had higher levels of atopic markers and were more sensitized to common allergens. These findings suggest that sensitization to aeroallergens and food allergens are more objective markers as asthma predictive indices. In addition, mAPI is a more reliable index in predicting asthma in Korean children with recurrent wheezing than is API. But only 29 patients were followed until the age of 6, so we need to include more children with long term follow up for future study.

• Clinical and Experimental Pediatrics
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• v.63 no.3
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• pp.104-109
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• 2020

Background: It is challenging to diagnose asthma in preschool children. The asthma predictive index (API) has been used to predict asthma and decide whether to initiate treatment in preschool children. Purpose: This study aimed to investigate the association between questionnaire-based current asthma with API, pulmonary function, airway hyperreactivity (AHR), fractional expiratory nitric oxide (FeNO), and atopic sensitization in preschool children. Methods: We performed a population-based cross-sectional study in 916 preschool children aged 4-6 years. We defined current asthma as the presence of both physician-diagnosed asthma and at least one wheezing episode within the previous 12 months using a modified International Study of Asthma and Allergies in Childhood questionnaire. Clinical and laboratory parameters were compared between groups according to the presence of current asthma. Results: The prevalence of current asthma was 3.9% in the study population. Children with current asthma showed a higher rate of positive bronchodilator response and loose and stringent API scores than children without current asthma. The stringent API was associated with current asthma with 72.2% sensitivity and 82.0% specificity. The diagnostic accuracy of the stringent API for current asthma was 0.771. However, no intergroup differences in spirometry results, methacholine provocation test results, FeNO level, or atopic sensitization rate were observed. Conclusion: The questionnaire-based diagnosis of current asthma is associated with API, but not with spirometry, AHR, FeNO, or atopic sensitization in preschool children.

• Tuberculosis and Respiratory Diseases
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• v.50 no.2
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• pp.196-204
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• 2001

Background : Bronchial asthma is characterized by a reversible airway obstruction, airway hyperresponsiveness, and eosinophilic airway inflammation. The bronchodilator response(BDR) after short acting beta agonist inhalation and PC20 with methacholine inhalation are frequently used for diagnosing bronchial asthma. However, the relationship between the presence of a bronchodilator response and the degree of airway hyperresponsiveness is uncertain. Therefore, the availability of a eosinophil cationic protein (ECP) and a correlation ECP with a bronchodilator response and airway hyperresponsiveness was investigated. Method : A total 71 patients with a moderate to severe degree of bronchial asthma were enrolled and divided into two groups. 31 patients with a positive bronchodilator response and 38 patients with a negative bronchodilator response were evaluated. In both groups, the serum ECP, peripheral blood eosinophil counts, and total IgE level were measured and the methacholine bronchial provocation test was examined. Results : There were no differences observed in age, sex, atopy, and baseline spirometry in both groups. The peripheral eosinophil counts showed no difference in both groups, but the ECP level in group 1 (bronchodilator responder group) was higher than in group 2(non-bronchodilator responder group) ($22.4{\pm}20.7$ vs $14.2{\pm}10.4$, mean$\pm$SD). The PC20 in group 1 was significantly lower than in group 2 ($1.14{\pm}1.68$ vs $66{\pm}2.98$). There was a significant positive correlation between the BDR and ECP, and a negative correlation between the bronchial hyperresponsiveness and ECP. Conclusion : The bronchodilator response significantly correlated with the bronchial hyperresponsiveness and serum ECP in the moderate to severe asthma patients. Hence, the positive bronchodilator response is probably related with active bronchial inflammation and may be used as a valuable index in treatment, course and prognosis of bronchial asthma.

• Sleep Medicine and Psychophysiology
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• v.24 no.1
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• pp.38-45
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• 2017

Objectives: Sleep disturbance is a very rapidly growing disease with aging. The purpose of this study was to investigate the prevalence of sleep disturbances and its predictive factors in a three-year cohort study of people aged 60 years and over in Korea. Methods: In 2012 and 2014, we obtained data from a survey of the Korean Social Life, Health, and Aging Project. We asked participants if they had been diagnosed with stroke, myocardial infarction, angina pectoris, arthritis, pulmonary tuberculosis, asthma, cataract, glaucoma, hepatitis B, urinary incontinence, prostate hypertrophy, cancer, osteoporosis, hypertension, diabetes, hyperlipidemia, or metabolic syndrome. Cognitive function was assessed using the Mini-Mental State Examination for dementia screening in 2012, and depression was assessed using the Center for Epidemiologic Studies Depression Scale in 2012 and 2014. In 2015, a structured clinical interview for Axis I psychiatric disorders was administered to 235 people, and sleep disturbance was assessed using the Pittsburgh Sleep Quality Index. The perceived stress scale and the State-trait Anger Expression Inventory were also administered. Logistic regression analysis was used to predict sleep disturbance by gender, age, education, depression score, number of coexisting diseases in 2012 and 2014, current anger score, and perceived stress score. Results: Twenty-seven percent of the participants had sleep disturbances. Logistic regression analysis showed that the number of medical diseases three years ago, the depression score one year ago, and the current perceived stress significantly predicted sleep disturbances. Conclusion: Comorbid medical disease three years previous and depressive symptoms evaluated one year previous were predictive of current sleep disturbances. Further studies are needed to determine whether treatment of medical disease and depressive symptoms can improve sleep disturbances.