Objective:To analyze the risk factors of clinically significant bleeding in patients with severe acute pancreatitis (SAP).Methods:The clinical data of SAP patients who were managed at Changhai Hospital affiliated to Naval Medical University from January 1, 2014 to October 31, 2022 were retrospectively analyzed. Twenty-nine SAP patients with clinically significant bleeding were classified to form the bleeding group. There were 23 males and 6 females, aged (56.25±14.01) years old. Another 116 SAP patients with similar general data but with no clinically significant bleeding during the same hospitalization period were included to form the non-bleeding group based on a ratio of 1∶4. There were 94 males and 22 females, aged (56.14±13.96) years old in this non-bleeding group. The general data, modified CT severity index (MCTSI), bedside index for severity of acute pancreatitis (BISAP) and other clinical data of the two groups were collected to determine the risk factors of bleeding in SAP patients.Results:Of the 29 patients with bleeding, 6 had gastrointestinal bleeding, 14 had intra-abdominal bleeding, and 9 had mixed bleeding sites, 15 were cured and discharged, and 14 died. All the 29 SAP patients with bleeding received treatment using drugs. In addition, 8 patients underwent successful hemostasis using digital subtraction angiography, 3 underwent successful endoscopic hemostasis, 2 underwent successful surgical hemostasis, and 2 underwent successful conservative drug hemostasis. Multivariate logistic regression analysis showed that SAP patients with higher MCTSI ( OR=1.824, 95% CI: 1.187-2.802), longer prothrombin time (PT) ( OR=3.431, 95% CI: 1.470-8.007) and higher BISAP ( OR=2.286, 95% CI: 1.054-4.957) had an increased risk of bleeding (all P<0.05). Conclusion:The prognosis of SAP patients was compromised with bleeding. High MCTSI, prolonged PT, and high BISAP were independent risk factors for bleeding in SAP patients.

Medical homogenization in multi-campus hospital plays an essential role in leveraging the advantages of public hospitals, promoting the expansion of high-quality medical resources and balancing regional layout. The Second Affiliated Hospital Zhejiang University School of Medicine deeply used digital intelligence technology to build a new integrated mobile health service system consisting of internet hospital and 5G intelligent applications, which empowered medical efficiency in multi-campus hospital. This system broke the limitations of inconsistent medical resources, unbalanced discipline layout, and insufficient information connectivity in the construction of multi-campus hospitals, and achieved remarkable results in practice. It could provide reference for the multi-campus construction of other large public hospitals.

Objective To evaluate the muscle mass in maintenance hemodialysis (MHD) patients and analyze the influential factors.Methods Ninety-seven patients on MHD and 34 healthy people were recruited.Muscle mass was measured by bioelectrical impedance analysis and compared.Patients'age,sex,height,body weight,walking activity,modified quantitative subjective global assessment (MQSGA) score and laboratory tests were recorded.The relationship of appendicular skeletal muscle mass/height2 (ASM/H2) and other factors were analyzed using multivariate linear regression.Results Compared with normal cohort,the MHD patients showed lower body fat rate and lower ASM/H2 (both P ＜ 0.05).In 97 MHD patients,21.4％ of male patients suffered from sarcopenia,and 24.4％ of female patients suffered from sarcopenia.Patients were divided into two groups according to the level of ASM/H2 (male ＜ 7.0 kg/m2,female ＜ 5.8 kg/m2).The grip strength,serum creatinine,1,25(OH)2D and mid-arm muscle circumference in low ASM/H2 group were lower than those in normal ASM/H2 group,and the differences were significant (all P ＜ 0.05).In multivariable regression model,male (β=0.534,P=0.003),1,25(OH)2D (β=0.582,P=0.024),creatinine (β=0.421,P=0.037),grip strength (β=0.681,P=0.001),and lg[NT-proBNP] (β=-1.760,P=0.042) were independently associated with ASM/H2 in MHD patients.Conclusion The prevalence of sarcopenia is much higher in MHD patients than in healthy people.The levels of grip strength,NT-proBNP,creatinine and 1,25(OH)2D are the important influential factors for muscle mass in MHD patients.

Objective: To explore a new platform for pre-hospital and in-hospital emergency medical services based on a new generation of 5G communication technology, providing a basis for further improving the level of emergency medical services. Methods: This study was conducted at the Second Affiliated Hospital of Zhejiang University School of Medicine from October 2017 to April 2019. Based on the latest requirements of emergency medical services at home and abroad, the cross-enterprise and multi-disciplinary technical forces were organized to build platform. Firstly, to determine the process of pre-hospital and in-hospital emergency medical services, various modules and technical routes were constructed under 5G conditions and individual technologies were tested one by one. Then they were gradually integrated into two platforms of ambulance and hospital emergency. Finally, the simulation test is carried out under the support of the whole 5G network. Results: The pre-hospital and in-hospital emergency medical service platform based on 5G technology comprises of 5G ambulance, 5G panoramic VR real-time display system, 5G remote ultrasonic examination system, medical drone system, and 5G emergency command platform. 5G ambulance contains medical equipments such as multi-function monitor, ventilator, defibrillation monitor, portable B-ultrasound, high-definition remote video interactive system based on 5G network, VR immersive real-time panoramic experience system, and GPS positioning system. 5G panoramic VR real-time display system includes VR panoramic camera and VR glasses. The wearer with VR glasses can view the real-time situation on the ambulance, which makes a preliminary judgment on the patient's condition and provides rescue guidance. 5G remote ultrasonic examination system integrates robot technology, real-time remote control technology, and ultrasonic imaging technology. The specialist can control the movement of the ultrasonic probe set on the 5G ambulance by manipulating the mechanical arm. The patient's image and color super-picture can also be simultaneously returned to the specialist. The medical drone system enables the medical resources to be allocated in the shortest possible time through the 5G networked drones, so as to eliminate the delay caused by traffic congestion. 5G emergency command platform can integrate, transmit, and display data from multiple sources and forms through web pages in assistance of AI and internet of things. Conclusions The new platform for pre-hospital and in-hospital emergency medical services based on 5G technology can realize more fluent information exchange in pre-hospital and in-hospital, and realize the functions that are difficult to achieve under the previous network conditions.