The authors conducted a clinical observation of 13 cases of pulmonary aspergilloma at Yeungnam University Hospital from March 1983 to March 1992, and the following results were observed: 1) The male to female ratio was 1 : 1.2, and the age distribution was ranged 30 to 67 years old. 2) All cases were symptomatic : hemoptysis, cough, sputum and dyspnea. Especially, hemoptysis was the presenting compliant in 10 patients (77%) 3) The underlying lung disease were pulmonary tuberculosis in 9, COPD in 5 and bronchiectasis in 2. 3 cases were without underlying disease. 4) According to radiographic appearance, 8 cases had the typical crescent sign and 5 cases were seen nodular lesion. And the lesions of 11 cases were located in both upper lung. 5) 10 cases were treated with surgical resection. Among these cases, 8 cases were alieved and 2 cases, died. And other 3 cases were treated with conservative treatment. We suggest that these findings would be helpful for the diagnosis and treatment of pulmonary aspergilloma and further study might be needed to evaluate the prognosis of pulmonary aspergilloma.
Age Distribution ; Bronchiectasis ; Cough ; Diagnosis ; Dyspnea ; Female ; Hemoptysis ; Humans ; Lung ; Lung Diseases ; Male ; Prognosis ; Pulmonary Disease, Chronic Obstructive ; Sputum ; Tuberculosis, Pulmonary

No abstract available.
Arteries*

No abstract available.
Carcinoma, Squamous Cell* ; Lung Neoplasms* ; Lung* ; Small Cell Lung Carcinoma*

BACKGROUNDS: Obstructive sleep apnea syndrome(OSA) can divided into two groups, positional (PP) and non-positional(NPP) obstructive sleep apnea syndrome, according to the body position while sleeping. In this study, we evaluated the differences of anthropometirc data and polysomnographic recordings between the two types of sleep apnea syndrome. MATERIALS: Fifty patients with OSA were divided two groups by Cartwright's criteria. The supine respiratory disturbance index (RDI) was at least two times higher than the lateral RDI in the PP group, and the supine RDI was less than twice the lateral RDI in the NPP group. This patients underwent standardized polysomnographic recordings. The anthropometirc data and polysomnographic data were analyzed, statistically. RESULTS: Of all 50 patients, 30% were found to be positional OSA. BMI was significantly higher in the PP group(p<0.05). Total sleep time was significantly longer in the PP group (350.6±46.0min, p<0.05). Sleep efficiency was high in the PP group(89.6± 6.4%, 85.6±9.9%, p<0.05). Deep sleep was significantly higher and light sleep was lower in the PP group than in the NPP group but no difference was observed in REM sleep between the two groups. Apnea index(AI) and RDI were significantly lower(17.0±10.6, 28.5±13.3, p<0.05) and mean arterial oxygen saturation was higher in the PP group(92.7 ±1.8%, p<0.05) than in the NPP group. CONCLUSION: Body position during sleep has a profound effect on the frequency and severity of breathing abnormalities in OSA patients. A polysomnographic evaluation for suspected OSA patients must include monitoring of the body position. Breathing function in OSA patients can be improved by controlling their obesity and through postural therapy.
Apnea ; Humans ; Obesity ; Oxygen ; Polysomnography ; Respiration ; Sleep Apnea Syndromes ; Sleep Apnea, Obstructive* ; Sleep, REM

No abstract available.
Pregnancy*

From January, 1972 to August 1983, 12 cases of ovarian pregnancy out of 1202 total ectopic pregnancy were studied and the incidence constituted 0.9%. The gross and microscopic findings were reviewed according to gross description and gross photographs, and microscopic description and reviewing all microscopic slides. All cases were shown to meet Spiegelberg's criteria for primary ovarian pregnancy.
Pregnancy ; Female ; Humans ; Incidence

Background: Continuous positive airway pressure(CPAP) is doubtlessly using as a medical treatment of choice for patients with obstructive sleep apnea (OSA) syndrome. CPAP is effective in OSA patients as a physical "pneumatic pressure splint" mechanism. We have done this study for two purposes, first to seek for the factors to determine the optimal CPAP titer, second to predict the minimal CPAP titer using the determined factors. Methods: We studied a 72 OSA patients who were treated with CPAP. All of them were studied by using a two nights polysomnographic tests in hospital. We compared the patients requiring CPAP over 10cmH2O with those who required CPAP under 5cm H2O to determine the factors affecting the minimal CPAP titer. Results: The high CPAP group is characterized by a significantly higher body mass index(BMI), apnea index(AI) and apnea and hyponea index(AHI) and significantly lower lowest SaO2. Regression analysis using the optimal four variables resulted in the following prediction equation for CPAPtiter. CPAPtiter=8.382 + 0.064 x BMI + 0.077 x AI - 0.004 x AHI - 0.077 x lowest SaO2 When this regression equation was applied to the 72 patients, the mean CPAP titer as predicted by the above equation was 7.80+/-2.96 mmHg. Compared this value with actually determined CPAP titer, 7.93+/-4.00mmHg, there was no significant difference between the two values. Conclusion: Obesity, apnea severity and lowest SaO2 were strongly correlated with CPAP titer. Linear regression equation for CPAP titer using these indices predicted very closely the actually measured values in the sleep laboratory.
Apnea ; Continuous Positive Airway Pressure* ; Humans ; Linear Models ; Obesity ; Sleep Apnea, Obstructive*

Background: Continuous positive airway pressure(CPAP) is doubtlessly using as a medical treatment of choice for patients with obstructive sleep apnea (OSA) syndrome. CPAP is effective in OSA patients as a physical "pneumatic pressure splint" mechanism. We have done this study for two purposes, first to seek for the factors to determine the optimal CPAP titer, second to predict the minimal CPAP titer using the determined factors. Methods: We studied a 72 OSA patients who were treated with CPAP. All of them were studied by using a two nights polysomnographic tests in hospital. We compared the patients requiring CPAP over 10cmH2O with those who required CPAP under 5cm H2O to determine the factors affecting the minimal CPAP titer. Results: The high CPAP group is characterized by a significantly higher body mass index(BMI), apnea index(AI) and apnea and hyponea index(AHI) and significantly lower lowest SaO2. Regression analysis using the optimal four variables resulted in the following prediction equation for CPAPtiter. CPAPtiter=8.382 + 0.064 x BMI + 0.077 x AI - 0.004 x AHI - 0.077 x lowest SaO2 When this regression equation was applied to the 72 patients, the mean CPAP titer as predicted by the above equation was 7.80+/-2.96 mmHg. Compared this value with actually determined CPAP titer, 7.93+/-4.00mmHg, there was no significant difference between the two values. Conclusion: Obesity, apnea severity and lowest SaO2 were strongly correlated with CPAP titer. Linear regression equation for CPAP titer using these indices predicted very closely the actually measured values in the sleep laboratory.
Apnea ; Continuous Positive Airway Pressure* ; Humans ; Linear Models ; Obesity ; Sleep Apnea, Obstructive*

No abstract available.
Bone Marrow Transplantation* ; Bone Marrow*

No abstract available.
Alveolitis, Extrinsic Allergic* ; Hypersensitivity*