Respirology : official journal of the Asian Pacific Society of Respirology
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To evaluate the impact of a chronic lung disease management training programme, Breathe Easy Walk Easy (BEWE), for rural and remote health-care practitioners. ⋯ The BEWE programme increased rural and remote health-care practitioner knowledge and confidence in delivering management for people living with chronic lung disease and facilitated the establishment of effective pulmonary rehabilitation programmes in regional and remote Australian settings where access to such programmes is limited.
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Complications during advanced diagnostic bronchoscopy are rare and include: pneumothorax, bleeding, mediastinitis and lymphadenitis. Increased complications have been demonstrated in patients undergoing routine bronchoscopy procedures performed by trainees. This study aimed to determine the impact of trainees during advanced diagnostic bronchoscopy on procedure time, sedation use and complications. ⋯ In an academic interventional pulmonology practice utilizing the apprenticeship model, trainee participation in advanced diagnostic bronchoscopy increased procedure time, increased the amount of sedation used and resulted in a trend to increased complications. Attempts to modify trainee procedural training to reduce the burden of procedural learning for patients are warranted.
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Weaning from invasive mechanical ventilation (IMV) in specialized weaning units has been demonstrated to be safe and cost-effective. Success rates and outcomes vary widely, probably relating to patient factors and unit expertise. ⋯ High rates of weaning success with infrequent complications and low mortality were achieved in this specialized non-intensive care unit-based weaning unit. The VWU may provide a useful template for the development of similar units elsewhere.
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Respiratory inductive plethysmography is a non-invasive technique for measuring respiratory function. However, there are challenges associated with using linear methods for calibration of respiratory inductive plethysmography. In this study, we developed two nonlinear models, artificial neural network and adaptive neuro-fuzzy inference system, to estimate respiratory volume based on thoracoabdominal movements, and compared these models with routine linear approaches, including qualitative diagnostic calibration and multiple linear regression. ⋯ These results indicate that the nonlinear methods can be adapted to closely simulate variable conditions and used to study the patterns of volume changes during normal and asynchronous breathing.