Objective:To describe the incidence, diagnosis rate, treatment rate and treatment pattern of hyperkalemia, and serum potassium retesting rate among hyperkalemia patients in the emergency department.Methods:Data were derived from Military Data Center for Rational Use of Drugs. Patients who accessed emergency medical services (≥18 years old) with record(s) of serum potassium between 2015 and 2017 were included. The data of laboratory test, diagnosis, and treatment were analyzed. The main outcomes included the incidence of hyperkalemia, the diagnosis rate, the treatment rate, treatment pattern and the 7-day retesting rate.Results:A total of 1 039 245 patients who met the above criteria were included, of whom, 36 615 (3.52%) had at least one hyperkalemia event. Among the emergency patients with chronic kidney disease, heart failure, diabetes mellitus and hypertension, the proportions of patients who experienced hyperkalemia were 47.69%, 29.13%, 21.69% and 10.16%, respectively. The diagnosis rate of emergency hyperkalemia patients was 9.23%. The overall hyperkalemia treatment rate was 42.1%. Insulin + glucose injection was the most commonly used therapy for emergency hyperkalemia patients. The overall serum potassium retesting rate within 7 days was 28.8%.Conclusions:Hyperkaliemia is more common and more severe in patients with chronic kidney disease, heart failure, diabetes and hypertension. The diagnosis rate and retesting rate of hyperkalemia are low, suggesting that the identification and management of hyperkaliemia in emergency patients should be strengthened.

Objective:To establish the HPLC fingerprint of dry ginger to provide experimental evidence for the quality control. Methods:An Agilent TC-C18 column (250 mm × 4. 6 mm,5 μm) was used, the flow phase was acetonitrile-water with gradient elu-tion, the flow rate was 1. 0 ml·min-1 , the column temperature was 30℃, and the detection wavelength was 240 nm. The data were e-valuated by the similarity evaluation software for TCM fingerprint. Results:There were 10 common peaks in HPLC chromatogram of 10 batches of dry ginger at 240 nm, and the chemical similar coefficient was 99%. Conclusion: The fingerprint of ginger at 240 nm is highly specific and typical with a rich fund of information, which can provide useful references for the quality control and evaluation of dry ginger.

Objective:To study the risk model of medical equipment maintenance and repair based on system dynamics,and to solve the problems of frequent risk of corruption,high transaction prices and low procurement timeliness in the process of medical equipment maintenance and repair.Methods:The risk matrix was formed by analyzing the procurement risk of medical equipment maintenance and warranty,and the risk matrix was drawn.The system dynamics model was constructed around the price risk,schedule risk and corruption risk of medical equipment maintenance procurement,and the causal relationship and feedback effect between the risk influencing factors of medical equipment maintenance procurement were revealed through the construction of causality diagram and stock flow diagram.The risk change effects of the PLA General Hospital's application of the system dynamics-based medical equipment maintenance and procurement risk model in practice in 2022 was compared.Results:After the application of risk management control based on system dynamics model,the increase of procurement price risk decreased from 0.54 before control to 0.27,the increase of corruption risk decreased from 0.27 before control to 0.05,and the increase of schedule risk decreased slowly.After lowering the risk threshold,the increase of price risk and price risk decrease significantly.When the risk threshold was reduced from 60 to 40,the project success rate was increased by 6.52%and the rate of doubts and complaints decreased by 6.61%.Conclusion:The medical equipment maintenance risk model based on system dynamics strictly manages the procurement demand side,implements price limit and price review management,and can effectively eliminate the corruption risk and schedule risk derived from price risk by optimizing the procurement method,building the negotiation price limit model and improving the price review and pricing mechanism.

Objective To compare the dose distribution between volumetric-modulated arc therapy ( VMAT ) and intensity-modulated radiotherapy ( IMRT ) in patients with brain metastases receiving hippocampus-sparing whole brain radiotherapy. Methods Forty-six patients with brain metastases admitted to our hospital from 2013 to 2016 were recruited in this study. After fusing the CT and MRI images, the hippocampus was delineated on the fusion images. The three-grade hippocampal avoidance regions were created by using a volumetric expansion of 3,5 and 10 mm surrounding the hippocampus. The planning target volume ( PTV) was calculated by subtracting the 5-mm expansion surrounding the hippocampus from the whole brain. The prescription dose was 30 Gy/10 fractions. The 7-field IMRT and single arc VMAT were designed for each case. The dose distribution of PTV,hippocampus and other organs at risk ( OARs) were evaluated in both plans. Results The PTV was statistically compared between VMAT and IMRT:V95:95. 90％ and 94. 97％( P=0. 000 );V90:98. 17％ and 97. 48％( P=0. 000 );CI:0. 825 and 0. 813 ( P=0. 013);HI:0. 277 and 0. 289(P=0. 025).The hippocampal dose was also compared between VMAT and IMRT:the Dmax of hippocampus was 1698. 9 cGy for VMAT and 1784. 9 cGy for IMRT (P=0. 002).TheDmean of hippocampus was 1183. 8 cGy for VMAT and 1112. 7 cGy for IMRT (P=0. 000).No statistical significance was observed between IMRT and VMAT in protecting the OARs except the chiasma opticum ( 3262. 6 cGy and 3529. 3 cGy,P=0. 000).The MU and treatment time of VMAT and IMRT were 651 and 2768( P=0. 000) ,and 188 s and 504 s ( P=0. 000) . Conclusions The dose distribution of PTV in VMAT is significantly better than that in IMRT. VMAT is advantageous in protecting the hippocampus than IMRT. VMAT can significantly shorten treatment time and MU and enhance the equipment utilization. Besides, VMAT can achieve the goal of protecting the hippocampus and meet the prescription dose requirement of PTV.

Objective:To analyze the drug resistance characteristics of Klebsiella pneumoniae in the nasopharynx of hospitalized patients in North China from 2022 to 2023. Methods:From November 2022 to July 2023, nasopharyngeal swabs were collected from 100 inpatients in Affiliated Hospital of North China University of Science and Technology, and Klebsiella pneumoniae was isolated and cultured. At the same time, the clinical data of the patients were collected, including gender, age, department, clinical diagnosis of disease type, etc. The minimum inhibitory concentration of strains was detected by an automatic bacterial drug sensitivity system. The drug resistance genes, ST types, capsule serotypes and population structure of the strains were analyzed by whole genome sequencing and data analysis. Results:Klebsiella pneumoniae was isolated from 55 nasopharyngeal swabs of 100 inpatients(55.00%). Among the 55 inpatients with Klebsiella pneumoniae in the nasopharynx, 70.91% (39/55) were male, with an age distribution concentrated between 61 and 80 years old (58.18%, 32/55), and 50.91% (28/55) were in intensive care units (ICU). The main underlying disease type was nervous system disease (49.09%, 27/55). The results of drug sensitivity showed that the non-susceptibility rates of 55 strains of Klebsiella pneumoniae to cephalosporins, quinolones, aztreonam and nitrofurantoin were all more than 80.00%. Twenty-eight carbapenem-resistant Klebsiella pneumoniae strains (50.91%), 47 extended-spectrum β-lactamase producing strains (85.45%), and 48 multi-drug-resistant strains (87.27%) were detected. A total of 11 antibiotic resistance genes were detected, including carbapenems (carrying rate 76.36%) and extended-spectrum β-lactamase (carrying rate 96.36%). The 55 strains could be divided into 17 ST types, and the most common type was ST11 (25.45%). The 55 strains were divided into 18 capsular serotypes, among which K102 was the most prevalent (23.64%). OXA-1_ST307_K102 (21.82%) and KPC-2_ST5492_K125 (18.18%) were the dominant clones, distributed in the Department of Neurosurgery and ICU. The result of whole genome sequence analysis showed that there were four clusters with high homology among the 55 strains. The strains from the ICU formed two independent clusters, and strains from the Neurology ICU and Neurosurgery department formed one cluster respectively. Conclusion:The carrying rate of Klebsiella pneumoniae in the nasopharynx of inpatients is high, and the drug resistance of the strains is serious. There are many types of drug-resistant genes.

Objective:To analyze the drug resistance characteristics of Klebsiella pneumoniae in the nasopharynx of hospitalized patients in North China from 2022 to 2023. Methods:From November 2022 to July 2023, nasopharyngeal swabs were collected from 100 inpatients in Affiliated Hospital of North China University of Science and Technology, and Klebsiella pneumoniae was isolated and cultured. At the same time, the clinical data of the patients were collected, including gender, age, department, clinical diagnosis of disease type, etc. The minimum inhibitory concentration of strains was detected by an automatic bacterial drug sensitivity system. The drug resistance genes, ST types, capsule serotypes and population structure of the strains were analyzed by whole genome sequencing and data analysis. Results:Klebsiella pneumoniae was isolated from 55 nasopharyngeal swabs of 100 inpatients(55.00%). Among the 55 inpatients with Klebsiella pneumoniae in the nasopharynx, 70.91% (39/55) were male, with an age distribution concentrated between 61 and 80 years old (58.18%, 32/55), and 50.91% (28/55) were in intensive care units (ICU). The main underlying disease type was nervous system disease (49.09%, 27/55). The results of drug sensitivity showed that the non-susceptibility rates of 55 strains of Klebsiella pneumoniae to cephalosporins, quinolones, aztreonam and nitrofurantoin were all more than 80.00%. Twenty-eight carbapenem-resistant Klebsiella pneumoniae strains (50.91%), 47 extended-spectrum β-lactamase producing strains (85.45%), and 48 multi-drug-resistant strains (87.27%) were detected. A total of 11 antibiotic resistance genes were detected, including carbapenems (carrying rate 76.36%) and extended-spectrum β-lactamase (carrying rate 96.36%). The 55 strains could be divided into 17 ST types, and the most common type was ST11 (25.45%). The 55 strains were divided into 18 capsular serotypes, among which K102 was the most prevalent (23.64%). OXA-1_ST307_K102 (21.82%) and KPC-2_ST5492_K125 (18.18%) were the dominant clones, distributed in the Department of Neurosurgery and ICU. The result of whole genome sequence analysis showed that there were four clusters with high homology among the 55 strains. The strains from the ICU formed two independent clusters, and strains from the Neurology ICU and Neurosurgery department formed one cluster respectively. Conclusion:The carrying rate of Klebsiella pneumoniae in the nasopharynx of inpatients is high, and the drug resistance of the strains is serious. There are many types of drug-resistant genes.