Objective To apply simulator image workstation to making and verification of integrated blocks.Methods The outline of blocks drawn by doctors at simulator image workstation were transferred to the auto-cutting machine.The blocks were fabricated and were verified by the simulator.Then the qualified ones were verified by the linear accelerator.Results Of 1 371 blocks selected to verify by the simulator,1 107 (80.7%) blocks were qualified;Of 1 371 blocks qualified by the simulator,1 345(98.1%) blocks were qualified by the linear accelerator.Conclusion Simulator image workstation can improve efficiency and reduce the error in making blocks.

Objective The purpose of this study was to analyze the relation of blood glucose variability and 28-day mortality in patients with different degree sepsis. Methods From September 1, 2010 to September 30, 2012, all adult patients diagnosed with sepsis and treated at least 3 days in Emergency ICU (EICU) of the first affiliated hospital of Kunming Medical University were enrolled in the study. Then the blood glucose levels and the other requisite clinical data were obtained from historical electronic medical records of patients excluding the patients reached exclusive criteria. The maximum and mean of blood glucose, and the glucose variability (the standard deviation,SD of blood glucose) in each patient were calculated. The patients were assigned according to severity of sepsis, then the relationship between SD of blood glucose and 28-day mortality was statistically assessed. Results There was an important correlation between SD of blood glucose and 28-day mortality (OR=4.237, =0.021) . The glucose variability increased with the serious of sepsis ( = 0.016) . Conclusion Glucose variability is an independent predictor of 28-day mortality in septic patients. In addition, the severity of sepsis has a positive correlation with blood glucose variability.

Objective:To investigate the different outcomes of two types of acute kidney injury (AKI) according to standard of Kidney Disease: Improving Global Outcomes-AKI (KDIGO-AKI), and to analyze the risk factors that affect the prognosis of intensive care unit (ICU) patients in China.Methods:A secondary analysis was performed on the database of a previous study conducted by China Critical Care Clinical Trial Group (CCCCTG), which was a multicenter prospective study involving 3 063 patients in 22 tertiary ICUs in 19 provinces and autonomous regions of China. The demographic data, scores reflecting severity of illness, laboratory findings, intervention during ICU stay were extracted. All patients were divided into pure AKI (PAKI) and acute on chronic kidney disease (AoCKD). PAKI was defined as meeting the serum creatinine (SCr) standard of KDIGO-AKI (KDIGO-AKI SCr) and the estimated glomerular filtration rate (eGFR) at baseline was ≥ 60 mL·min -1·1.73 m -2, and AoCKD was defined as meeting the KDIGO-AKI SCr standard and baseline eGFR was 15-59 mL·min -1·1.73 m -2. All-cause mortality in ICU within 28 days was the primary outcome, while the length of ICU stay and renal replacement therapy (RRT) were the secondary outcome. The differences in baseline data and outcomes between the two groups were compared. The cumulative survival rate of ICU within 28 days was analyzed by Kaplan-Meier survival curve, and the risk factors of ICU death within 28 days were screened by Cox multivariate analysis. Results:Of the 3 063 patients, 1 042 were enrolled, 345 with AKI, 697 without AKI. The AKI incidence was 33.11%, while ICU mortality within 28 days of AKI patients was 13.91% (48/345). Compared with PAKI patients ( n = 322), AoCKD patients ( n = 23) were older [years old: 74 (59, 77) vs. 58 (41, 72)] and more critical when entering ICU [acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score: 23 (19, 27) vs. 15 (11, 22)], had worse basic renal function [eGFR (mL·min -1·1.73 m -2): 49 (38, 54) vs. 115 (94, 136)], more basic complications [Charlson comorbidity index (CCI): 3 (2, 4) vs. 0 (0, 1)] and higher SCr during ICU stay [peak SCr for diagnosis of AKI (μmol/L): 412 (280, 515) vs. 176 (124, 340), all P < 0.01]. The mortality and RRT incidence within 28 days in ICU of AoCKD patients were significantly higher than those of PAKI patients [39.13% (9/23) vs. 12.11% (39/322), 26.09% (6/23) vs. 4.04% (13/322), both P < 0.01], while no significant difference was found in the length of ICU stay. Kaplan-Meier survival curve analysis showed that the 28-day cumulative survival rate in ICU in AoCKD patients was significantly lower than PAKI patients (Log-Rank: χ2 = 5.939, P = 0.015). Multivariate Cox regression analysis showed that admission to ICU due to respiratory failure [hazard ratio ( HR) = 4.458, 95% confidence interval (95% CI) was 1.141-17.413, P = 0.032], vasoactive agents treatment in ICU ( HR = 5.181, 95% CI was 2.033-13.199, P = 0.001), and AoCKD ( HR = 5.377, 95% CI was 1.303-22.186, P = 0.020) were independent risk factors for ICU death within 28 days. Conclusion:Further detailed classification (PAKI, AoCKD) based on KDIGO-AKI SCr standard combined with eGFR is related to ICU mortality in critical patients within 28 days.

Background: Cardiopulmonary resuscitation (CPR) strategies in COVID-19 patients differ from those in patients suffering from cardiogenic cardiac arrest. During CPR, both healthcare and non-healthcare workers who provide resuscitation are at risk of infection. The Working Group for Expert Consensus on Prevention and Cardiopulmonary Resuscitation for Cardiac Arrest in COVID-19 has developed this Chinese Expert Consensus to guide clinical practice of CPR in COVID-19 patients. Main recommendations: 1) A medical team should be assigned to evaluate severe and critical COVID-19 for early monitoring of cardiac-arrest warning signs. 2) Psychological counseling and treatment are highly recommended, since sympathetic and vagal abnormalities induced by psychological stress from the COVID-19 pandemic can induce cardiac arrest. 3) Healthcare workers should wear personal protective equipment (PPE). 4) Mouth-to-mouth ventilation should be avoided on patients suspected of having or diagnosed with COVID-19. 5) Hands-only chest compression and mechanical chest compression are recommended. 6) Tracheal-intubation procedures should be optimized and tracheal-intubation strategies should be implemented early. 7) CPR should be provided for 20-30 min. 8) Various factors should be taken into consideration such as the interests of patients and family members, ethics, transmission risks, and laws and regulations governing infectious disease control. Changes in management: The following changes or modifications to CPR strategy in COVID-19 patients are proposed: 1) Healthcare workers should wear PPE. 2) Hands-only chest compression and mechanical chest compression can be implemented to reduce or avoid the spread of viruses by aerosols. 3) Both the benefits to patients and the risk of infection should be considered. 4) Hhealthcare workers should be fully aware of and trained in CPR strategies and procedures specifically for patients with COVID-19.