Normal Predicted Values of Pulmonary Function Test Korean School-Aged Children |
Kyung Ae Yoon1, Hyung Suk Lim1, Young Yull Koh1, Heon Kim2 |
1Department of Pathology, Seoul National University College of Medicine, Seoul, Korea 2Department of Preventive, Chungbuk National University College of Medicine, Chungbuk, Korea |
우리나라 학동기 아동의 폐기능 검사 추정 정상치 |
윤경애1, 임형석1, 고영률1, 김현2 |
1서울대학교 의과대학 소아과학교실 2충북대학교 의과대학 예방의학교실 |
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Abstract |
In recent years pulmonary function tests have had a wide application in clinical pulmonary diseases. By combining a number of different pulmonary function tests, abnormality present in a particular patient can be defined. This narrows the list of possible diagnosis and allows to determine accurately the degree of impairment and assess the response to therapy.
To assess the pulmonary function in a patient and label as abonrmal, it becomes important to define the range of expected values of a normal population. These normal predicted values?vary according to sex and growth, i.e., age, height, and weight, particularly in children. In addition, race and geography have been consistently shown to be an important determinant of lung function. In order to obtain normal perdicted values of pulmonary function tests in Korean school-aged children, we performed spirmetry-based pulmonary function tests on the normal healthy 2022 children, age from 6 through 15, and analyzed the data, with the parameters such as sex, age, height, weight, and body surface area. We calculated each of their simple and complex linear and logarithmic regression equations setting the predicted values. The results are as follows:
1) Predicted values of pulmonary function test items were generally higher in boys than those of girls.
2) A correlation coefficient to the parameters examind was the highest in FEV1, then those of FVC, FEF25, PEFR, FEF50, MMEF, and FEF75 follow in order.
3) Of the parameters examined, height had the highest correlation coefficient consistently in all pulmonary function test items.
4) As compared with the inland and overseas data, some differences were observed. |
Key Words:
Pulmonary function test |
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