Study Objective: To evaluate the 5-year prognosis of patients with stage I and stage II newly detected (< 3 months) pulmonary sarcoidosis treated immediately after diagnosis with prednisolone for 3 months followed by inhaled budesonide for 15 months.
Design: Randomized, double-blind, placebo-controlled, parallel-group study for 18 months. Thereafter, open follow-up without treatment.
Setting: Twenty pulmonary medicine departments in Finland.
Patients: One hundred eighty-nine adult patients, most of them with normal lung function, were randomized to treatment. One hundred forty-nine patients were followed up for 5 years: 79 patients with initial stage I disease and 70 patients with stage II disease.
Treatment: Oral prednisolone for 3 months followed by inhaled budesonide for 15 months (800 microg bid), or placebo tablets followed by placebo inhaler therapy. Thereafter, treatment only on an individual basis in the case of clinical deterioration.
Measurements: Yearly follow-up visits with chest radiographs, lung function tests (FEV(1), FVC), diffusion capacity of the lung for carbon monoxide (DLCO), serum angiotensin-converting enzyme (SACE), and serum and urinary calcium measurements.
Results: No initial differences were observed in chest radiographic findings between the active-treatment and placebo-treatment groups, either in patients with initial stage I or stage II(-III) disease. However, after the 5-year follow-up, 18 steroid-treated patients (26%) and 30 placebo-treated patients (38%) still had remaining chest radiographic changes. Placebo-treated patients more frequently required treatment with corticosteroids during the 5-year follow-up (p < 0.05). Steroid-treated patients with initial stage II(-III) disease improved more in FVC and DLCO (p < 0.05). No differences in reported adverse events or in SACE, serum calcium, or urinary calcium values were seen.
Conclusion: Immediate treatment of pulmonary stage II(-III) sarcoidosis-but not stage I disease-improved the 5-year prognosis with regard to lung function variables.
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http://dx.doi.org/10.1378/chest.121.1.24 | DOI Listing |
Int J Comput Assist Radiol Surg
January 2025
Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Purpose: Pulmonary perfusion imaging is a key lung health indicator with clinical utility as a diagnostic and treatment planning tool. However, current nuclear medicine modalities face challenges like low spatial resolution and long acquisition times which limit clinical utility to non-emergency settings and often placing extra financial burden on the patient. This study introduces a novel deep learning approach to predict perfusion imaging from non-contrast inhale and exhale computed tomography scans (IE-CT).
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Division of Neonatology, Montreal Children's Hospital, McGill University Health Center, Montreal, Quebec, Canada.
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Cochrane Database Syst Rev
January 2025
Lifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK.
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Department of Respiratory and Critical Care Medicine, Jiangxi Provincial Key Laboratory of Respiratory Diseases, Jiangxi Institute of Respiratory Diseases, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
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View Article and Find Full Text PDFJ Thorac Dis
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Department of Physical Therapy Science, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Background: Lung cancer represents a significant global health concern and constitutes the primary cause of cancer-related mortality. Complete surgical resection with curative intent remains the most efficacious treatment modality for improving the survival rate of patients with localized lung cancer. Average life expectancy has increased in many countries, and the number of older patients undergoing surgery has increased.
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