tailieunhanh - Báo cáo y học: "Acoustic monitoring - super sonic"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Acoustic monitoring - super sonics? | Available online http content 13 4 162 Commentary Acoustic monitoring - super sonics John J Marini University of Minnesota Minneapolis St Paul Minnesota Regions Hospital Pulmonary and Critical Care Medicine MS11203B 640 Jackson St St Paul Minnesota 55101 USA Corresponding author John J Marini Published 3 July 2009 This article is online at http content 13 4 162 2009 BioMed Central Ltd Critical Care 2009 13 162 doi cc7908 See related research by Lev et al. http content 13 3 R66 Abstract Vesicular breath sounds wheezes rhonchi and crackles possess acoustic signatures amenable to detection quantification and moment-by-moment visual display. Despite technical hurdles new methods for sonic evaluation once perfected should offer innovative diagnostic and monitoring tools that add clinical value. These emerging options complement current static global monitoring of mechanics and gas exchange with dynamic regional information long missing from the optimal care of the ventilated patient with critical illness. Traditionally respiratory monitoring has concentrated on static and summary measures of mechanics and gas exchange. Resistance and compliance plateau pressure auto-positive end-expiratory pressure auto-PEEP tidal flows and volume ventilatory dead space and oxygenation indices provide useful diagnostic information and treatment targets but all characterize global performance provide few clues to the nature of any abnormality they report and do not inform us directly of regional distortions of lung topography for example caused by atelectasis pneumothorax pleural effusion and compressive intrathoracic lesions. A recently published study appearing in this journal by Lev and colleagues 1 again illustrates the potential added value of acoustic dynamic imaging for the acute care setting. Soundbased patient monitoring appears close at hand but a few questions remain before such methods can be .