Objective sampling method was used to conduct a questionnaire survey on outpatients in two hospitals in Guangdong province in order to evaluate patients’ satisfaction with the quality of medical service. This paper explored the factors that affect patients’ evaluation of medical service quality, and found that patients’ age was negatively correlated with the evaluation of medical service quality. It is suggested that the establishment of friendly medical institutions should be carried out according to the national policy. At the same time, the management mechanism of hospital should be improved, the number of medical service centers for "efficient" should be increased, and the medical service personnel should be regularly trained; carry out medical knowledge education in community, improve the popularization of personal medical knowledge and close the cognitive gap between doctors and patients.

Objective To research the procedure for creating an animal model of mitral regurgitation by implanting a device through the apical artificial chordae tendineae, and to assess the stability and dependability of the device. Methods Twelve large white swines were employed in the experiments. Through a tiny hole in the apex of the heart, the artificial chordae tendineae of the mitral valve was inserted under the guidance of transcardiac ultrasonography. Before, immediately after, and one and three months after surgery, cardiac ultrasonography signs were noted. Results All models were successfully established. During the operation and the follow-up, no swines died. Immediately after surgery, the mitral valve experienced moderate regurgitation. Compared with preoperation, there was a variable increase in the amount of regurgitation and the values of heart diameters at a 3-month follow-up (P<0.05). Conclusion In off-pump, the technique of pulling the mitral valve leaflets with chordae tendineae implanted transapically under ultrasound guidance can stably and consistently create an animal model of mitral regurgitation.

Objective:To explore the risk factors of sepsis in patients with multiple trauma and construct a nomogram prediction model.Methods:The data of patients with multiple injuries admitted to the emergency intensive care unit (EICU) of the General Hospital of Ningxia Medical University from January 2021 to April 2022 were respectively collected. Inclusion criteria: (1) meet the diagnostic criteria for multiple injuries; (2) the time from injury to admission ≤ 24 hours; (3) age>18 years old; (4) all examination or rescue measures were approved by the patient or the patient's family; (5) the patient's clinical data were complete. The patients were divided into sepsis group and non-sepsis group according to the definition of Sepsis 3.0 at the 28-day of EICU hospitalization. The receiver operating characteristic curve was drawn. Logistic regression analysis was applied to determine the independent predictors for sepsis, and the nomogram was constructed.Results:A total of 291 patients were included, including 102 in the sepsis group and 189 in the non-sepsis group. Multivariate logistic analysis revealed that age, acute physiology and chronic health status score (APACHE) Ⅱ, Glasgow Coma Scale (GCS), injury severity score (ISS), sequential organ failure assessment (SOFA) within 24 hours after admission, blood transfusion frequency, the application of norepinephrine, mechanical ventilation, pathogenic culture results, and history of diabetes were independent factors influencing the occurrence of sepsis. A nomogram model was constructed by combining these variables (AUC=0.913, 95% CI: 0.847-0.942), and the model had a good fitting calibration curve. Conclusions:The nomogram constructed by age, APACHE-Ⅱ, GCS score, SOFA score, ISS score, number of blood transfusions, mechanical ventilation, norepinephrine drug use, pathogenic culture and diabetes has a good predictive value for sepsis in patients with multiple trauma in the later stage, which is worth promoting.

Objective:To establish and validate a prediction model for the risk of major upper gastrointestinal bleeding in patients with varices of liver cirrhosis.Method:This study retrospectively collected the clinical data of patients with esophageal and gastric variceal bleeding who were admitted to the emergency department of Ningxia Medical University General Hospital from October 2019 to October 2022. The patients were divided into modeling group and validation group according to the ratio of 7:3 by random number table method. The observation index was whether the upper gastrointestinal bleeding occurred within 24 hours after admission. The predictors in the logistic regression model were used to construct a prediction model for the risk of major upper gastrointestinal bleeding in patients with varices with liver cirrhosis, and the area under the receiver operating characteristic curve (AUC), the correction curve and the decision curve were analyzed to evaluate the discriminatory ability, accuracy and clinical utility of the prediction model.Results:A total of 305 patients were included, including 215 and 90 in the modeling and validation groups, respectively, and the clinical data of the two groups were comparable. Multivariate logistic regression showed that systolic blood pressure ( OR=0.918, 95% CI: 0.860-0.980, P=0.010), MAP(ASH) score ( OR=1.993, 95% CI: 1.017-3.907, P=0.045), Child-Pugh score ( OR=1.999, 95% CI: 1.139-3.510, P=0.016) and model for end-stage liver disease (MELD) ( OR=1.398, 95% CI: 1.037-1.886, P=0.028) were independent influencing factors for the occurrence of upper gastrointestinal bleeding in patients with liver cirrhosis varices. The AUC of the prediction model in the modeling group was 0.936 (95% CI: 0.895-0.976), and that of the prediction model in the validation group was 0.891 (95% CI: 0.807-0.975), the prediction model had good identification, calibration, and clinical application value. Conclusions:Systolic blood pressure, MAP (ASH) score, Child-Pugh score, and prediction models constructed by end-stage liver disease models are helpful for early prediction of the risk of upper gastrointestinal bleeding in patients with cirrhosis varices in the emergency department.

Objective:To explore the prognostic factors of elderly patients with community-acquired pneumonia-related sepsis and to construct a prediction model.Methods:The clinical data of elderly patients with community-acquired pneumonia-associated sepsis from October 2020 to October 2022 in the General Hospital of Ningxia Medical University from October 2020 to October 2022 were retrospectively included, and the clinical data of the two groups were divided into the modeling population and the validation population in the ratio of 7:3 by random number table method, and the clinical data of the two groups were compared. According to the 30-day outcomes of admission, the patients were divided into survival group and death group, and the independent risk factors for the prognosis of elderly patients with community-acquired pneumonia-related sepsis were screened out by LASSO regression and multivariate logistic regression analysis, and the nomogram prediction model was constructed by R software. The area under the curve (AUC), calibration curve and decision curve of the receiver operating characteristic curve were used to validate the nomogram prediction model in the modeling population and the validation population to judge its discrimination, calibration and clinical practicability.Results:A total of 472 patients were included, with 331 and 141 models and validations, respectively, indicating that the clinical data were comparable between the modeled and validated populations. LASSO regression and multivariate logistic regression analysis showed that pneumonia severity index (PSI) score and sequential organ failure assessment (SOFA) score were independent risk factors for the prognosis of elderly patients with community-acquired pneumonia-associated sepsis. The AUC of the modeled population prediction model was 0.984 (95% CI: 0.975-0.994), and the AUC of the validated population prediction model was 0.961 (95% CI: 0.926-0.996). The nomogram prediction model has good discrimination, calibration and clinical practicability in both the modeled and validated populations. Conclusions:The nomogram prediction model established in the study has high accuracy for early identification and risk of sepsis in elderly patients with CAP and can guide for clinicians to formulate personalized interventions.

Objective:To explore the prognostic risk factors of patients with multiple injuries and establish a nomogram prediction model.Methods:The clinical data of 291 patients with multiple injuries admitted to the Emergency Intensive Care Unit (EICU) of General Hospital of Ningxia Medical University were collected, including sex, age, open injury, norepinephrine use, mechanical ventilation, time to hospital after injury, distance to hospital, relative lymphocyte value, platelet count, lactic acid, injury severity score (ISS), acute physiology and chronic health evaluationⅡ (APACHE Ⅱ), Glasgow coma scale (GCS), number of blood transfusions, number of operations, and previous history of diabetes, hypertension and smoking within 24 h after admission. According to whether the condition worsened during the hospitalization of EICU, the patients were divided into the deterioration group and improvement group. SPSS26.0 software was used for statistical analysis of the data, univariate and multivariate analysis were used to screen the factors affecting the prognosis of patients with multiple injuries, receiver operating characteristic (ROC) curve and forest chart were drawn, and the influencing factors in binary Logistic regression model were used to make the nomogram.Results:Mechanical ventilation, norepinephrine use, age, relative lymphocyte value, lactic acid, APACHE-II score, GCS score, and number of operations were significant for predicting the prognosis of patients with multiple injuries ( P<0.05). The independent influencing factors obtained by binary Logistic regression model were age, lactic acid, APACHE-Ⅱ score and number of operations. ROC curve analysis showed that the area under the curve was the largest in multi-factor combined prediction, followed by APACHE-Ⅱ score. The diagnostic cut-off value of each index was as follows: age >58 years old, relative lymphocyte value≤ 8.62%, lactic acid >1.72, APACHE-Ⅱ score >16, GCS score≤ 6, and number of operations≤ 0. The R software was used to establish a nomogram of the influencing factors in the binary Logistic regression model, which had good predictive value. Conclusions:The nomogram constructed by age, relative lymphocyte value, lactic acid, APACHE-Ⅱ score, GCS score, number of operations, mechanical ventilation, and norepinephrine use has a good predictive value for the prognosis of patients with multiple injuries, and is worthy of promotion..

OBJECTIVE: To study the chemical constituents of the roots of Angelica dahurica, a well-known Chinese herbal medicine named Baizhi in Chinese. METHODS: Compounds were separated by various chromatographies, and the structures of new compounds were elucidated based on the analysis of their spectroscopic and spectrometric data (1D, 2D NMR, HRESI MS, IR, and UV). The absolute configurations of new compounds were determined by the calculated electronic circular dichroism and chemical derivatization. The inhibitory activities of all isolates against nitric oxide (NO) production were evaluated using lipopolysaccharide-activated RAW 264.7 macrophage cells. RESULTS: Seven new 3,4-dihydro-furanocoumarin derivatives ( 1a/ 1b, 2a/ 2b, 3a/ 3b, 4) together with a known furanocoumarin ( 5) were isolated from the roots of A. dahurica. The new compounds included three pairs of enantiomers, (4S, 2''R)-angelicadin A ( 1a)/(4R, 2''S)-angelicadin A ( 1b), (4S, 2''S)-angelicadin A ( 2a)/(4R, 2''R)-angelicadin A ( 2b), and (4S, 2''S)-secoangelicadin A ( 3a)/(4R, 2''R)-secoangelicadin A ( 3b), together with (4R, 2''R)-secoangelicadin A methyl ester ( 4). The known xanthotoxol ( 5) inhibited the NO production with the half-maximal inhibitory concentration (IC₅₀) value of (32.8 ± 0.8) µmol/L, but all the new compounds showed no inhibitory activities at the concentration of 100 µmol/L. CONCLUSION This is the first report of the discovery of 3,4-dihydro-furanocoumarins from A. dahurica. The results are not only meaningful for the understanding of the chemical constituents of A. dahurica, but also enrich the reservoir of natural products.

Objective    To summarize the early outcomes of totally thoracoscopic minimally invasive aortic valve replacement (AVR) and double valve replacement (DVR). Methods    The clinical data of patients who underwent totally thoracoscopic minimally invasive AVR or DVR in Guangdong Provincial People’s Hospital from April 2020 to January 2021 were retrospectively analyzed. The patients were divided into an AVR group and a DVR group according to the surgical method, and the clinical data of the two groups were compared. Results    Finally 22 patients were enrolled, including 14 males and 8 females with an average age of 50.0±11.2 years at operation. Eight patients were degenerative disease, 8 were rheumatic heart disease combined with valvular disease, and 6 were bicuspid aortic valve. Out of the 22 patients, 16 underwent AVR alone, and 6 underwent DVR. All patients completed the operation successfully, and there was no death. Perivalvular leakage during surgery occurred in 2 patients. The average cardiopulmonary bypass time was 187.0±39.9 minutes, and aortic cross-clamping time was 117.0 (99.0, 158.0) minutes. Duration of mechanical ventilation and intensive care unit stay was 9.5 (4.8, 18.3) hours and 41.0 (34.0, 64.0) hours, respectively. The volume of chest drainage at the first 24 hours after surgery was 214.0±124.6 mL, and the postoperative hospital stay was 5.5 (4.0, 8.3) days. The cardiopulmonary bypass time and aortic cross-clamping time in the DVR group were longer than those in the AVR group, and the volume of chest drainage at 24 hours after surgery was more than that in the AVR group, with a statistical difference (P<0.05). Echocardiography before hospital discharge showed paravalvular leakage in 1 patient. There was no death during follow-up of 5.9±3.0 months. Conclusion    The early outcome of totally thoracoscopic minimally invasive AVR and DVR is satisfactory, and the approach of surgery is worth exploring.