Objective To develop a prefilled portable intelligent intravenous transfusion pump to facilitate fast and convenient fluid pumping during emergency treatment and casualty transport.Methods The prefilled portable intelligent venous transfusion pump was composed of a driver module,a pump module,a human-machine interface,a prefilled sterile infusion bag and a pump catheter.The driver module adopted integrated design and applied a high-voltage DC-AC converter to driving the piezoelectric pump used as the power source of the pump module;the human-machine interface consisted of several keys for on/off,rate adjustment,switching and confirmation;the prefilled sterile infusion bag was made of medical-grade polypropylene,and the pump catheter was made of medical silicone rubber.Results The transfusion pump developed could be worn on the casualty limb and did not require height difference for intravenous infusion,which enhanced intravenous drug delivery in portability,reliability and intelligence.Conclusion The transfusion pump developed gains advantages in low size,weight and easy operation,and thus is worthy promoting for venous transfusion in battlefield conditions and field emergency environments.[Chinese Medical Equipment Journal,2024,45(5):111-114]

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective: To evaluate the predictive value of the proportion of hibernating myocardium (HM) in total perfusion defect (TPD) on reverse left ventricle remodeling (RR) after coronary artery bypass graft (CABG) in patients with heart failure with reduced ejection fraction (HFrEF) by ^99mTc-methoxyisobutylisonitrile (MIBI) single photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) combined with ¹⁸F-flurodeoxyglucose (FDG) gated myocardial imaging positron emission computed tomography (PET). Methods: Inpatients diagnosed with HFrEF at the Cardiac Surgery Center, Anzhen Hospital of Capital Medical University from January 2016 to January 2022 were prospectively recruited. MPI combined with ¹⁸F-FDG gated PET was performed before surgery for viability assessment and the patients received follow-up MPI and ¹⁸F-FDG gated PET at different stages (3-12 months) after surgery. Δ indicated changes (post-pre). Left ventricular end-systolic volume (ESV) reduced at least 10% was defined as RR, patients were divided into reverse remodeling (RR+) group and the non-reverse group (RR-). Binary logistic regression analysis was used to identify predictors of RR. Receiver operating characteristic (ROC) curve analysis was performed and the area under the curve (AUC) was calculated to assess the cut-off value for predicting RR. Additionally, we retrospectively enrolled inpatients with HFrEF at the Cardiac Surgery Center, Anzhen Hospital of Capital Medical University from January 2021 to January 2022 as the validation group, who underwent MPI and ¹⁸F-FDG gated PET before surgery. Echocardiography was performed before CABG and after CABG (3-12 months). In the validation group, the reliability of obtaining the cut-off value for the ROC curve was verified. Results: A total of 28 patients with HFrEF (26 males; age (56.9±8.7) years) were included in the prospective cohort. HM/TPD was significantly higher in the RR+ group than in the RR- group ((51.8%±17.9%) vs. (35.7%±13.9%), P=0.016). Binary logistic regression analysis revealed that HM/TPD was an independent predictor of RR (Odds ratio=1.073, 95% Confidence interval: 1.005-1.145, P=0.035). ROC curve analysis revealed that HM/TPD=38.3% yielded the highest sensitivity, specificity, and accuracy (all 75%) for predicting RR and the AUC was 0.786 (P=0.011). Meanwhile, a total of 100 patients with HFrEF (90 males; age (59.7±9.6) years) were included in the validation group. In the validation group, HM/TPD=38.3% predicted RR in HFrEF patients after CABG with the highest sensitivity, specificity and accuracy (82%, 60% and 73% respectively). Compared with the HFrEF patients in the HM/TPD<38.3% group (n=36), RR and cardiac function improved more significantly in the HM/TPD≥38.3% group (n=64) (all P<0.05). Conclusions: Preoperative HM/TPD ratio is an independent factor for predicting RR in patients with HFrEF after CABG, and HM/TPD≥38.3% can accurately predict RR and the improvement of cardiac function after CABG.
Male ; Humans ; Middle Aged ; Aged ; Stroke Volume ; Heart Failure ; Fluorodeoxyglucose F18 ; Retrospective Studies ; Reproducibility of Results ; Prospective Studies ; Coronary Artery Bypass ; Ventricular Dysfunction, Left ; Tomography, Emission-Computed, Single-Photon ; Perfusion ; Myocardium

【Objective】 To improve the local Emergency Plan for blood collection and supply by analyzing the situation of voluntary blood donation and blood supply during the COVID-19 epidemic in Jingmen. 【Methods】 Under the prevention and control of COVID-19, first-level response of the Emergency Plan for Blood Collection and Supply (referred to as Emergency Plan) in our city was initiated, and a series of measures had been taken to promote voluntary blood donation and blood deployment in order to ensure the clinical blood demand in hospitals. The collection and supply of platelets and whole blood during the COVID-19 epidemic period in 2020 were compared with the same period in the previous three years and the differences were analyzed by SPSS statistical software. 【Results】 114 therapeutic doses of platelets were collected in February 2020, accounting for 73.55% of the clinical supply. The units of whole blood collected in February and March, only accounted for 43.13% of clinical blood consumption, decreased by 84.75% and 66.38% respectively compared with the same period in 2019. During February to March 2020, 2 894 U of red blood cells and 44 therapeutic doses of platelets were transferred. The measures mentioned above ensured the platelet supply and clinical blood use, and blood collection and supply were gradually back to normal in April. 【Conclusion】 The Emergency Plan was further improved by analyzing and summarizing the deficiencies during its initiation and operation, and was incorporated into the municipal public health emergency support system to comprehensively improve the capacity of blood emergency supply.

Objective To develop a new method for the simultaneous determination of seven polycyclic aromatic hydrocarbons(PAHs)in water by dispersive liquid-liquid microextraction based on solidification of floating organic droplet(DLLME-SFO)with gas chromatography-mass spectrometry(GC-MS). Methods The experimental conditions of DLLME-SFO were determined with dodecanol as extractant solvent, methanol as dispersive solvent, inonic strength increased by adding 8% NaCl. After vortexed for 1 min and centrifuged at 4 000 r/min for 5 min, the water sample was cooled down in an ice bath till dodecanol became solid and formed a small ball. Then the solidified dodecanol phase was transferred, and directly detected by GC-MS method after it melted. Results Good linearities were obtained for the seven polycyclic aromatic hydrocarbons within the range of 5 μg/L-200 μg/L. The correlation coefficients were above 0.996. The detection limits ranged from 1.6 ng/L to 3.2 ng/L. The average recoveries ranged from 86.2% to 105% and the RSDs from 3.8% to 9.4%. Conclusion The method is sensitive, fast and simple. It has the advantage of little organic solvent consumption, which is friendly to environment and suitable for the detection of seven PAHs in water.

This study was designed to predict the Q-markers of Citri Reticulatae Pericarpium volatile oil and conduct quantitative analysis by GC-MS. The common components of Citri Reticulatae Pericarpium volatile oil were detected by GC-MS. The network pharmacology approaches were utilized for constructing the component-target network and protein-protein interaction(PPI) network, followed by the GO and KEGG pathway enrichment analysis to clarify the pharmacological effects of common components. Molecular docking was conducted to observe the biological activities of common components, thus identifying the Q-markers of Citri Reticulatae Pericarpium volatile oil. The obtained Q-markers were subjected to quantitative analysis by GC-MS. The GC-MS analysis of 19 batches of Citri Reticulatae Pericarpium volatile oil revealed three common components, namely, D-limonene, γ-terpinene, and myrcene. The common components were analyzed based on network pharmacology, and the results showed that Citri Reticulatae Pericarpium volatile oil mainly acted on the core targets GABRA1, GABRA6, GABRA5, GABRA3, and GABRA2 through D-limonene and γ-terpinene, with five important pathways such as nicotine addiction and GABAergic synapse involved. The core targets were mainly distributed in olfactory region, cerebral cortex, cerebellum, basal ganglia, hippocampus, and amygdala to exert the pharmacological effects. As revealed by molecular docking, D-limonene and γ-terpinene exhibited good biological activities, so they were identified as the Q-markers of Citri Reticulatae Pericarpium volatile oil. The results of quantitative analysis showed that the volume fraction of D-limonene was within the range of 0.77-1.03 μL·mL~(-1), and that of γ-terpinene within the range of 0.04-0.13 μL·mL~(-1). The prediction of D-limonene and γ-terpinene as the Q-markers of Citri Reticulatae Pericarpium volatile oil has laid an experimental foundation for the establishment of the quality evaluation standard for Citri Reticulatae Pericarpium volatile oil.
Citrus ; Drugs, Chinese Herbal/pharmacology* ; Gas Chromatography-Mass Spectrometry ; Molecular Docking Simulation ; Network Pharmacology ; Oils, Volatile/pharmacology*

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

Objective: To evaluate the relationship between the brain glucose metabolism and left ventricular function parameters, and to explore the cerebral glucose metabolism reduction regions in patients with ischemic heart disease (IHD). Methods: A total of 110 consecutive IHD patients who underwent gated (99)Tc(m)-sestamibi (MIBI) SPECT/CT myocardial perfusion imaging, gated (18)F-fluorodeoxyglucose (FDG) PET/CT myocardial and brain glucose metabolic imaging within three days in Beijing Anzhen Hospital from April 2016 to October 2017, were enrolled in this study. Left ventricular functional parameters of SPECT/CT and PET/CT including end-diastolic volume (EDV), end-systolic volume (ESV) and left ventricular ejection fraction (LVEF) were analyzed by QGS software. Viable myocardium and myocardial infarction region were determined by 17-segment and 5 score system, and the ratio of viable myocardium and scar myocardium was calculated. According to the range of viable myocardium, the patients were divided into viable myocardium<10% group (n=44), viable myocardium 10%-<20% group (n=36) and viable myocardium≥20% group (n=30). Pearson correlation analysis was used to analyze the correlation between the range of viable myocardium and scar myocardium and the level of cerebral glucose metabolism. Brain glucose metabolism determined by the mean of standardized uptake value (SUV(mean)) was analyzed by SPM. The ratio of SUV(mean) in whole brain and SUV(mean) in cerebellum were calculated, namely taget/background ratio (TBR). Differences in cerebral glucose metabolism among various groups were analyzed by SPM. Results: There were 101 males, and age was (57±10) years in this cohort. The extent of viable myocardium and the extent of scar, LVEF evaluated by SPECT/CT and PET/CT were significantly correlated with TBR (r=0.280, r=-0.329, r=0.188, r=0.215 respectively,all P<0.05). TBR value was significantly lower in viable myocardium<10% group, compared with viable myocardium 10%-<20% group (1.25±0.97 vs. 1.32±0.17, P<0.05) and viable myocardium≥20% group (1.25±0.97 vs. 1.34±0.16, P<0.05). Furthermore, in comparison with viable myocardium≥20% group, the hypo-metabolic regions of viable myocardium<10% group were located in the precuneus, frontal lobe, postcentral gyrus, parietal lobe, temporal lobe, and so on. Conclusions: There is a correlation between impaired left ventricular function and brain glucose metabolism in IHD patients. In IHD patients with low myocardial viability, the level of glucose metabolism in the whole brain is decreased, especially in the brain functional areas related to cognitive function.
Aged ; Brain ; Fluorodeoxyglucose F18 ; Glucose ; Humans ; Male ; Middle Aged ; Positron Emission Tomography Computed Tomography ; Radiopharmaceuticals ; Stroke Volume ; Tomography, Emission-Computed, Single-Photon ; Ventricular Function, Left

Objective To investigate the current situation in Chinese rheumatologic physicians' clinical diagnosis and evaluation of Takayasu's arteritis (TA).Methods Nineteen rheumatology experts and three vascular surgery specialists in China were invited to make the nationwide investigation for the first time about the diagnosis and disease activity evaluation of TA in China,through the questionnaire survey on the internet.Weighted average was used to calculate the average scores of corresponding problems.Results Chinese experts mainly adopted 1990 American College of Rheumatology (ACR) classification criteria for clinical diagnosis of TA.In details,symptoms of age,limb claudication and amaurosis,signs including pulselessness or pulse weakening,vascular bruits,increasing bilateral pulse pressure and hypertension and acute phase reactants (APR) were critical to the clinical diagnosis of TA.Besides,noninvasive imaging examinations,such as computed tomography angiography (CTA),magnetic resonance angiography (MRA),vascular ultrasonography,and positron emission tomography (PET) were also of great importance.In the aspect of disease activity assessment,Chinese experts mainly used Kerr scoring tool.APR and noninvasive radiological examinations were considered with vital value.Some TA patients with carotid artery involvement were recommended using vascular ultrasonography,while others with pulmonary artery and thoracic/abdominal aorta trunk involvement were preferred CTA other than MRA.Conclusions APR and noninvasive imaging examinations were thought with great help to make clinical diagnosis and evaluation of TA for Chinese physicians.

A novel method was developed for the rapid determination of multi-indicators in corni fructus by means of near infrared (NIR) spectroscopy. Particle swarm optimization (PSO) based least squares support vector machine was investigated to increase the levels of quality control. The calibration models of moisture, extractum, morroniside and loganin were established using the PSO-LS-SVM algorithm. The performance of PSO-LS-SVM models was compared with partial least squares regression (PLSR) and back propagation artificial neural network (BP-ANN). The calibration and validation results of PSO-LS-SVM were superior to both PLS and BP-ANN. For PSO-LS-SVM models, the correlation coefficients (r) of calibrations were all above 0.942. The optimal prediction results were also achieved by PSO-LS-SVM models with the RMSEP (root mean square error of prediction) and RSEP (relative standard errors of prediction) less than 1.176 and 15.5% respectively. The results suggest that PSO-LS-SVM algorithm has a good model performance and high prediction accuracy. NIR has a potential value for rapid determination of multi-indicators in Corni Fructus.
Algorithms ; Calibration ; Cornus ; chemistry ; Drugs, Chinese Herbal ; chemistry ; Fruit ; chemistry ; Least-Squares Analysis ; Models, Theoretical ; Neural Networks (Computer) ; Quality Control ; Spectroscopy, Near-Infrared ; Support Vector Machine