Standardization of critical care management of non-critically ill patients with COVID-19

The large global outbreak of coronavirus disease 2019(COVID-19)has seriously endangered the health care system in China and globally.The sudden surge of patients with severe acute respiratory syndrome coronavirus 2 infection has revealed the shortage of critical care medicine resources and intensivists.Currently,the management of non-critically ill patients with COVID-19 is performed mostly by non-intensive care unit(ICU)physicians,who lack the required professional knowledge,training,and practice in critical care medicine,especially in terms of continuous monitoring of the respiratory function,intervention,and feedback on treatment effects.This clinical problem needs an urgent solution.Therefore,here,we propose a series of clinical strategies for non-ICU physicians aimed at the standardization of the management of non-critically ill patients with COVID-19 from the perspective of critical care medicine.Isolation management is performed to facilitate the implementation of hierarchical monitoring and intervention to ensure the reasonable distribution of scarce critical care medical resources and intensivists,highlight the key patients,timely detection of disease progression,and early and appropriate intervention and organ function support,and thus improve the prognosis.Different management objectives are also set based on the high-risk factors and the severity of patients with COVID-19.The approaches suggested herein will facilitate the timely detection of disease progression,and thus ensure the provision of early and appropriate intervention and organ function support,which will eventually improve the prognosis.

Experimental investigation of ghost imaging of reflective objects with different surface roughness

We present an experimental demonstration of ghost imaging of reflective objects with different surface roughness.The influence of the surface roughness, the transverse size of the test detector, and the reflective angle on the signal-to-noise ratio(SNR) is analyzed by measuring the second-order correlation of the light field based on classical statistical optics. It is shown that the SNR decreases with an increment of the surface roughness and the detector's transverse size or a decrease of the reflective angle. Additionally, the comparative studies between the rough object and the smooth one under the same conditions are also discussed.