Research progress on identification of acute respiratory distress syndrome based on noninvasive parameters / 医疗卫生装备

The concept and pathogenesis of acute respiratory distress syndrome (ARDS)were introduced,and the methods for identifying ARDS based on noninvasive parameters in recent years were retrospectively reviewed including regression method, nonlinear fitting method and multi parameter method.The above methods had their advantages and disadvantages summarized. It's suggested that multi noninvasive parameters and machine learning algorithms such as neural network, support vector machine and decision tree be involved in model construction to promote PaO2/FiO2assessment based on noninvasive parameters,so that the rapid diagnosis and real-time monitoring of ARDS can be realized based on noninvasive parameters while there were no need for blood gas analysis.

Evaluation of multiple oxygenation indexes in acute respiratory distress syndrome / 军事医学

Acute respiratory distress syndrome(ARDS)and acute lung injury are grave syndromes associated with high morbidity of the mortality.Currently,the criteria for the classification of the severity of ARDS are the PaO 2/FiO2values, while OI,S/F and OSI values are also used as ancillary diagnostic and grading criteria for ARDS.In this review,we sum-marize the effects of four indicators on the diagnosis and severity of ARDS patients,their respective strengths and weaknes-ses,and predit the future development of the classification of severity of ARDS.