In recent years pulmonary function teste 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 pesponse to therapy.
To assess the pulmonary function in a patient and label as abnormal, it becomes important to define the range of expected values for a normal population. These normal'predicted values'vary according to sex and prowth, i.e., age, height, and
weight,
particularly in children. In addition, race and geography have been consistently shown to bc an important determinant of lung function. In order to obtain normal perdicted values of pulmonary function tests in Korean school-aged children, we
performed
spirometry-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.
@ES The results are as follows:
@EN 1) Predicted values of pulmonary function test items were generally higher in boys than those of girls.
2) A correlation coefficient to the parameters examined 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.
|