Pulmonary function test is used as a guideline for safe pulmonary resection without complications. Usually FEVl lower than 1 liter is considered as a contraindication of lobectomy. Therefore, the curative operation of resectable lung cancer can not be performed in the case of poor pulmonary functions. Nowadays, there are some arguing points about the value of preoperative PFTs before the pulmonary resection. We performed a right pneumonectomy for stage H lung cancer in a patient with poor lung function test; FVC 2.17L, FEVl 0.97L, FEVl/FVC 44%, FEF 25-75% 0.42L/sec, MVV 28L/min, TLC 5.18L, RV 2.99. During 4 months follow up, the patient had been tolerable. The follow up PFTs at postoperative 3 months 18 days showed up as follows; FVC 1.20L, FEVI 0.63L, FEVl/FVC 53%, FEF 25-75% 0.31L/sec, MVV 25L/min, TLC 3.80L, RV 2.33L.
Kim, Jee-Won;Ahn, Hyeong-Sook;Kim, Kyung-Ah;Lim, Young;Yun, Im-Goung
Tuberculosis and Respiratory Diseases
/
v.42
no.6
/
pp.923-933
/
1995
Background: Pleural abnormality is the the most common respiratory change caused by asbestos dust inhalation and also develop other asbestos related disease after cessation of asbestos exposure. So we conducted epidemiologic study to investigate if the pleural abnormality is associated with pulmonary function change and what factors are influenced on pulmonary function impairment. Methods: Two hundred and twenty two asbestos workers from 9 industries using asbestos in Korea were selected to measure the concentration of sectional asbestos fiber. Ouestionnaire, chest X-ray, PFT were also performed. All the data were analyzed by student t-test and chi-square test using SAS. Regressional analysis was performed to evaluate important factors, for example smoking, exposure concentration, period and the existence of pleural thickening, affecting to the change of pulmonary function. Results: 1) All nine industries except two, airborn asbestos fiber concentration was less than an average permissible concentration. PFT was performed on 222 workers and the percentage of male was 88.3%, their mean age was $41{\pm}9$ years old, and the duration of asbestos exposure was $10.6{\pm}7.8$ yrs. 2) The chest X-ray showed normal(89.19%), pulmonary Tb(inactive)(2.7%), pleral thickening (7.66%), suspected reticulonodular shadow(0.9%). 3) The mean values of height, smoking status, concentration of asbestos fiberwere not different between the subjects with pleural thickening and others, but age, cumulative pack-years, the duration of asbestos exposure were higher in subjects with pleural thickening. 4) All the PFT indices were lower in the subjects with pleural thickening than in the subjects without pleural thickening. 5) Simple regression analysis showed there was a significant correlation between $FEF_{75}$ which is sensitive in small airway obstruction and cumulative smoking pack-years, the duration of asbestos exposure and the concentration of asbestos fiber. 6) Multiple regression analysis showed all the pulmonary function indices were decreased as the increase of cumulative smoking pack-years and especially in the indices those are sensitive in small airway obstruction. Pleural thickening was associated with reduction in FVC, $FEV_1$, PEFR and $FEF_{25}$. Conclusion: The more concentration of asbestos fiber and the more duration of asbestos exposure, the greater reduction in $FEF_{50}$, $FEF_{75}$. Therefore PFT was important in the evaluation of early detection for small airway obstruction. Furthermore pleural thickening without asbesto-related parenchymal lung disease is associated with reduction in pulmonary function.
Background: We tried to examine the small airway diseases which can be found early, in workers exposed to inorganic dusts. This is measured in normal breath by using the impulse oscillometry (IOS). Methods: The Pulmonary function test (forced vital capacit [FVC], forced expiratory volume in one second [$FEV_1$], forced expiratory flow between 25% and 75% of vital capacity [$FEF_{25-75}$]), IOS resistance (Rrs at 5, 10, 15, 20, 25, 35 Hz) and reactance (Xrs at 5, 10, 15, 20, 25, 35 Hz) were measured for 454 workers. The subjects were classified into 173 workers of normal (38.1%) and 281 patients with pneumoconiosis (61.9%). Results: There were significant differences between normal and patients with FVC ($3.82{\pm}0.61$ vs. $3.53{\pm}0.56L$), $FEV_1$ ($2.67{\pm}0.63$ vs. $2.35{\pm}0.48L$), and $FEF_{25-75}$ ($1.88{\pm}0.95$ vs. $1.47{\pm}0.80L/sec$) between groups (p<0.05). And as for IOS, there was no significant difference in resistance (Rrs) (p>0.05), and there were significant differences between normal and patients with reactance (Xrs) 15 Hz ($0.003{\pm}0.05$ vs. $-0.006{\pm}0.04kPa/L/s$), 20 Hz ($0.043{\pm}0.05$ vs. $0.031{\pm}0.04kPa/L/s$), and 35 Hz ($0.141{\pm}0.05$ vs. $0.131{\pm}0.05kPa/L/s$) between groups (p<0.05). Conclusion: We could find out that 15 Hz, 20 Hz, and 35 Hz values of reactance were significantly influenced by pneumoconiosis. When usefulness and reproducibility to carry out the IOS are considered, it is thought that in future work will be required to draw the reference values for normal Korean persons.
Kim, Youn-Seup;Kweon, Suk-Hoe;Song, Mi-Young;Yoo, Sun-Mi;Park, Jae-Seuk;Jee, Young-Koo;Lee, Kye-Young;Kim, Keun-Youl
Tuberculosis and Respiratory Diseases
/
v.44
no.5
/
pp.1030-1039
/
1997
Background : Impulse Oscillometry is a noninvasive and effort-independent test used to characterize the mechanical impedance of the respiratory system. The clinical potential of the IOS is rapid and demands only passive cooperation which makes it especially appealing for children, for epidemiologic surveys and for conditions in which quiet breathig instead of forced expiratory maneuvers are preferred. However, several studies have shown conflicting results that the role of IOS about detection of smoking induced small airway diseases or early airway obstruction Methods : Study was to evaluate the clinical ability of the IOS to detect about smoking induced early airway obstruction in persons with normal spirometry test. Respiratory asymptomatic study groups were formed that one is non-smoking group, another is smoking group. Results : The parameters of spirometry were not significantly differences between non-smoking group and smoking group. Among the parameters of IOS, total resistance(non-smoking group : smoking group=$2.22{\pm}1.20$ : $2.58{\pm}1.71$), peripheral resistance($1.25{\pm}0.62$ : $1.47{\pm}0.10$), bronchial compliance($0.44{\pm}0.12$ : $0.47{\pm}0.16$) were not statistically significant different (p<0.05), but central resistance and lung compliance were not statistically significant different (unit ; resistance=hPa/l/s, compliance=l/hPa). Resistance(Rrs) was not statistically significant different with changes of frequences(5, 10, 15, 20, 25, 30, 35Hz), but Reactance(Xrs) was statistically significant different with low frequences that X5(non-smoking group : smoking group=$-0.62{\pm}0.28$ : $-0.76{\pm}0.48$, p<0.001) and X10($-0.06{\pm}0.19$ : $-0.15{\pm}0.33$, p<0.013) (unit; hPall/s, $hPa{\cong}cmH_2O$). Conclusion : Impulse oocillometer(IOS) is clinically available method to detect about smoking induced early airway obstruction. And clinically potential parameters of IOS were considers that total resistance, peripheral resistance, bronchial resistance, and reactance of low frequency at 5Hz, 10Hz.
Background : In diagnosis or monitor of the airway obstruction in bronchial asthma, the measurement of $FEV_1$ in the standard method because of its reproducibility and accuracy. But the measurement of peak expiratory flow(PEF) by peak flow meter is much simpler and easier than that of $FEV_1$ especially in children. Yet there have been still no data of the predicted normal values of PEF measured by peak flow meter in Korean children. This study was conducted to provide equations to predict the normal value of PEF and correlation between PEF and $FEV_1$ in healthy children. Method : PEF was measured by MiniWright peak flow meter, and the forced expiratory volume and the maximum expiratory flow volume curves were measured by Microspiro HI 501(Chest Co.) in 346 healthy children(age:5-16 years, 194 boys and 152 girls) without any respiratory symptoms during 2 weeks before the study. The regression equations for various ventilatory parameters according to age and/or height, and the regression equations of $FEV_1$ by PEF were derived. Results : 1. The regression equation for PEF(L/min) was: $12.6{\times}$age(year)+$3.4{\times}$height(cm)-263($R^2=0.85$) in boys, and $6{\times}$age(year)+$3.9{\times}$height(cm)-293($R^2=0.82$) in girls. 2. The value of FEFmax(L/sec) derived from the maximum expiratory flow volume curves was multiplied by 60 to compare with PEF(L/min), and PEF was faster by 125 L/min in boys and 118 L/min in girls, respectively. 3. The regression equation for $FEV_1$(ml) by PEF(L/min) was:$7{\times}$PEF-550($R^2=0.82$) in boys, and $5.8{\times}$PEF-146 ($R^2=0.81$) in girls, respectively. Conclusion : This study provides regression equations predicting the normal values of PEF by age and/or height in children. And the equations for $FEV_1$, a gold standard of ventilatory function, was predicted by PEF. So, in taking care of children with airway obstruction, PEF measured by the peak flow meter can provide useful information.
Background : The past studies on prediction formulas of pulmonary function parameters in healthy nonsmoking Korean adults have been performed in relatively small number of subjects and the reported results were restricted on a few parameters. Also there was no systematic investigation into the effect of smoking on pulmonary function parameters in smokers who have no respiratory symptoms. Therefore we attempted to establish prediction formulas of pulmonary function parameters and examined the effect of smoking on pulmonary function parameters. Methods We analyzed the result of parameters derived from the forced expiratory spirogram in 1,067 nonsmoking subjects from June in 1990 to December in 1991. They consisted of 306 males and 761 females and had neither respitatory symptoms nor history of respiratory disease. We derived prediction formulas by multiple linear regression method from their age, heights, and weights in each sex. To examine the effect of smoking on pulmonary function parameters, we classified 383 smoking men into three groups according to the past amount of smoking as follows : i.e. group of smokers who have smoked below 10 pack-years, 10-20 pack-years and above 20 pack-years. Regarding each group of past smoking as an independent dummy variable, we analyzed pulmonary function parameters including nonsmoking men as a baseline by multiple linear regression. We evaluated the smoking effect on pulmonary function parameters according to estimated p-value. Result : 1) Prediction formulas for pulmonary function parameters in each sex were derived. 2) The past smoking less than 10 pack-years does not give any effect on pulmonary function parameters. The past smoking of 10~20 pack-years showed significant negative correlation with $FEV_1$/FVC and FEF 25~75%, and the smoking above 20 pack years showed negative correlation with $FEV_1$ and $FEV_1$/FVC. Conclusion : We have got prediction formulas of pulmonary function parameters which is driven from forced expiratory spirogram in nonsmoking Korean adults by multiple linear regression from age, heights and weights of subjects. The past smoking more than 10 pack-years showed negative correlation with some pulmonary function parameters of airflow obstruction.
Preoperative evaluation of pulmonary function with spirometry can identify those at increased risk of morbidity and mortality owing to pulmonary complications following pulmonary resections. To assess the correlation between FVC, FEV1.0/FVC, EFE25-57% and MVV, measured preoperatively, and the incidence of pulmonary complications following pulmonary resections, a hundred patients who had pulmonary resections were selected. Patients were divided into two groups postoperatively. In group A, there was no postoperative pulmonary complication, and in group b, there were one or more complications. We compared the results of the preoperative pulmonary function tests of the two groups. The difference of FVC between the two groups was statically significant [p<0.01] and FEV1.0/ FVC [p<0.O01]. The differences of the FEF25-75% and MVV were not significant.
Background: Airway obstruction and the extent of emphysema are reported to be responsible for reduced bone mineral density (BMD). Corresponding to different phenotypes of a pulmonary disease, different severity in extra pulmonary features may exist. We compared BMDs of subjects with or without airway obstruction and/or emphysema and investigated the relationships among BMD, the severity of airway obstruction, and the extent of emphysema. Methods: Using a university hospital database, we reviewed patients over 40 years old who performed spirometry, computed tomography of chest, and measurement of BMD of the lumbar (L) spine. According to the presence or absence of airway obstruction and/or emphysema, four groups were classified. Results: Among a total of 59 subjects, 33 (56%) had osteoporosis. The prevalence of osteoporosis in subjects with no airway obstruction and no emphysema, those with only emphysema, those with only airway obstruction, and those with both airway obstruction and emphysema were 42%, 57%, 64%, and 73%, respectively (p=0.047 by linear-by-linear association). The mean T-scores of BMD of L1 (p=0.032) and L1-4 spines were different among the four groups (p=0.034). Although the T-score of L1 BMD negatively correlated with the extent of emphysema (r=-0.275, p=0.035) and positively with each of body mass index (BMI) (r=0.520, p<0.001), forced expiratory volume in one second ($FEV_1$) (r=0.330, p=0.011), $FEV_1$/forced vital capacity (r=0.409, p=0.001), and forced expiratory flow at 25~75% of FVC ($FEF_{25-75%}$) (r=0.438, p=0.0001), respectively, multiple linear regression analysis indicated that BMI (p<0.001) and $FEF_{25-75%}$ were predictive of BMD (p=0.012). Conclusion: Low BMI and airway obstruction were strongly associated with reduced bone density rather than the extent of emphysema.
Background: Smoking reduces pulmonary function and induces various lung diseases. Recently, the rate of emphysema detection has increased due to lung cancer screening with low-dose chest computed tomography (CT). The purpose of this study was to evaluate changes in lung function associated with emphysema in healthy smokers. Methods: One hundred and ninety one healthy smokers, who had undergone a low-dose chest CT (LDCT) scan as part of lung cancer screening and had revisited the health center after a median 23.9 months' time, were recruited into this study. The severity of emphysema was calculated by the direct observation of a radiologist and a pulmonologist indipendently. Longitudinal changes in lung function according to emphysema based on LDCT and type of smoker was analyzed. Results: Of the participants in this study, 25% of healthy smokers had emphysema, which was mild in severity, in older patients (p=0.003) and in heavy smokers (p<0.001). $FEV_1/FVC$ and FEF25-75% were decreased in current smokers with emphysema (p=0.001 and p=0.009, respectively) and without emphysema (p=0.001 and p=0.042). Although lung function was not decreased in ex-smokers without emphysema, $FEV_1/FVC$ and FEF25-75% were decreased in ex-smoker with emphysema (p=0.020 and p=0.010). Conclusion: Upon examination with LDCT, the prevalence of emphysema was higher in healthy smokers was than in non-smokers. Lung function was diminished in smokers with emphysema, in spite of former smoker.
Determination of preoperatibe pulmonary function is crucial in avoiding complications from pulmonary resection, especially pneumonectomy. Postoperative morbidity and mortality were correlated with the preoperative results of five widely used tests of pulmonary function in 40 patients who underwent pneumonectomy for bronchiectasis, pulmonary tuberculosis, and carcinoma of the lung. Factors analyzed following operation included 30-day mortality, the incidence of arrhythmia, the frepuency of respiratory complications, and the number of individuals requiring prolonged mechanical ventilation. There were statistically significant differences[p<0.001]in mean values among FVC, FEV1, FEV1/FVC and MVV. But the difference of the FEF25-75% was not statistically significant.
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