Objective To analyze the diagnosis and prognosis value of abdominal CT scans in patients with acute pancreatitis complications.Methods 151 cases with acute pancreatitis were selected.The relationship between abdominal CT performances and the common complications and death in patients was analyzed.The prognosis of patients with different Balthazar CT severity index (CTSI) grade was compared.Results The complication rate of patients with CT signs of fatty liver, pleural effusion, liver gap effusion, adrenal gland involvement (AGI), penirenal space involvement (PSI) and gastric bare area involvement (GBAI) was significantly higher than that of patients with negative CT findings above (P<0.05).With CTSI grading increasing, the patient''s fasting time, heating time, hospital stay, recovery time of blood amylase were extended, and the incidence of pseudo cyst, transit surgery, organ failure and death was gradually increasing (P<0.05).Conclusion Severe fatty liver, AGI, GBAI, PSI and liver gap effusion are risk factors for acute complications and death in patients with pancreatitis.

Objective:The study aimed to analyze the risk variables influencing the prognosis of patients with sepsis-associated delirium (SAD) in the Intensive Care Unit (ICU) and build a prediction nomogram.Methods:This was a retrospective cohort study that includes patients with SAD in the Medical Information Mart for Intensive CareⅢ database (MIMIC-Ⅲ) database as training cohort, and patients who were hospitalized in the First Hospital of Jiaxing from January 2021 to September 2022 as validation cohort. Inclusion criteria: (1) age≥18 years old; (2) being admitted to the ICU for the first time; (3) the length of ICU stay≥24 h; (4) consistent with the diagnosis of sepsis; (5) the diagnosis of delirium was identified by CAM-ICU questionnaire. The general information, vital signs, past medical history and laboratory examination results of the patients were collected, and the outcome was 28-day mortality. Multiple logistic regression was used to identify independent influencing factors and the nomogram was constructed. The validity of the prediction model was determined using multiple indicators, including calibration curve, the area under the receiver operating characteristic curve (AUC), decision curve analysis (DCA), and Hosmer-Lemeshow test.Results:A total of 250 patients were included in the training cohort and 154 patients were in the validation cohort. The multiple logistic regression demonstrated that age ( OR=1.057, 95% CI: 1.030-1.084, P<0.001), respiratory frequency ( OR=1.117, 95% CI: 1.037-1.202, P=0.003), lactic acid ( OR=1.137, 95% CI:1.011-1.279, P=0,032), hemoglobin ( OR=0.983, 95% CI: 0.970-0.997, P=0.020), SOFA score ( OR=1.184, 95% CI: 1.070-1.309, P=0.001) were independent risk factors associated with the 28-day mortality of patients with SAD. The AUC of the nomogram created by the five factors above was 0.773 (95% CI: 0.705-0.841), and the Hosmer-Lemeshow test showed that the model was a good fit ( P=0.875). The DCA curve indicates that the model has potential net benefit. The AUC was 0.864 (95% CI: 0.799-0.928) in the validation cohort, and the Hosmer-Lemeshow test showed that the model was a good fit ( P=0.488). The DCA curve indicates that the model of the validation cohort had potential net benefit. Conclusion:The prediction model based on age, respiratory frequency, lactate, hemoglobin, and SOFA scores shows valuable capability of predicting the prognosis of patients with SAD, which could help clinicians identify risk factors at first time and make earlier intervention.

We studied the effect of calcium ion on particle size and pore structure of cross-linked enzyme aggregates (CLEAs) of glucose oxidase, with activity and stability of the enzyme as evaluation criteria. With calcium ion to prepare CLEA significantly decreased particle sizes of CLEAs whilst the pore structures of CLEAs gradually disappeared with the increase of calcium concentration. When glucose oxidase was precipitated at 0.1 mmol/L Ca²⁺, glucose oxidase in CLEA showed the definitive pore structure. Moreover, glucose oxidase activity in CLEA with Ca²⁺ was 1.69 times higher than that without Ca²⁺. Even at Ca²⁺ as high as 1.0 mmol/L, glucose oxidase activity in CLEA was 42% higher than that of CLEA without Ca²⁺. Furthermore, CLEA prepared with 0.1 mmol/L Ca²⁺ not only exhibited higher substrate conversion and operational stability, but also increased the maximum reaction speed. Therefore, calcium ion improved the performance of glucose oxidase in CLEAs.
Calcium ; chemistry ; Cross-Linking Reagents ; Enzyme Stability ; Enzymes, Immobilized ; Glucose Oxidase ; chemistry ; Oxidation-Reduction ; Particle Size

Objective: To propose the concept of a novel regional control and prevention (RCP) system for the outbreak of COVID-19 infectious disease, design an emergency epidemic prevention information system based on the existing network architecture and information system in the region, and a remote intelligent medical consultation and remote office platform, research and develop the technology of risk assessment and early warning for people in the region, and improve the regions’prevention and control ability facing emergency of major infectious diseases. Methods: Taking colleges, affiliated (teaching) hospitals, and cloud applications as typical RCP regional units, the existing local area network interaction methods between the cloud and universities and affiliated (teaching) hospitals are established to realize remote work in the network environment, remote medical imaging, psychological and ethical consultation and interaction; applying multi-agent propagation model based on complex network, combining Global Positioning System (GPS), Radio Frequency Identification (RFID), and electronic fence technology, to realize the risk classification and early warning of units and personnel in the area. Results: In the RCP, a system architecture combining campus network, affiliated (teaching) hospital intranet, and the Internet is used. Dynamic connection is made using distributed technology and cloud storage. The data buffer mechanism of the intermediary database in the network realized telemedicine consultation and telecommuting. Relying on the platform, multi-agent propagation model based on complex network and cellular automaton model are used to realize the score and early warning of population exposure risk in the region by using GPS, RFID and electronic fence technology. Conclusions In the epidemic phase of major infectious diseases, the construction of RCP can improve the response speed of wartime epidemic prevention, provide reasonable data-based warnings and risk ratings, and reduce the exposure risk of susceptible people. The design and development of RCP is a systematic project that needs to combine regional structural and functional characteristics, and the foundation of the early informatization work in the region and the level of the emergency development team determine the development progress, maintenance, and actual application effects. It is recommended to establish a peacetime and wartime combined RCP mode and incorporate it into the government's disease control system to improve the national and regional level of prevention and control of major infectious diseases.