Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Gastric cancer with peritoneal metastasis (GCPM) is a common and lethal manifestation of advanced gastric cancer, with a median survival of only 5-11 months. This consensus was developed by 30 experts from Asia (China, Japan, Korea, and Singapore) using the Delphi method and the GRADE evidence grading system. A total of 29 statements were formulated, covering the diagnosis and assessment of GCPM, indications for laparoscopic exploration and NIPS (normothermic intraperitoneal and systemic treatment), treatment regimens, prevention and management of complications, criteria for conversion surgery, and postoperative intraperitoneal therapy. The consensus aims to standardize clinical practice and improve the prognosis of patients with GCPM.

OBJECTIVE: This study explored the job choice preferences of Center for Disease Prevention and Control (CDC) workers to provide CDC management information and recommendations for optimizing employee retention and motivation policies. METHODS: A discrete choice experiment was conducted in nine provinces across China. Seven key attributes were identified to analyze the job preferences of CDC workers. Mixed logit models, latent class models, and policy simulation tools were used. RESULTS: A valid sample of 5,944 cases was included in the analysis. All seven attributes significantly influenced the job choices of CDC workers. Heterogeneity analyses identified two main groups based on different levels of preference for attribute utility. Income-prioritizers were concerned with income and opportunities for career development, whereas bianzhi-prioritizers were concerned with bianzhi and welfare benefits. The policy simulation analysis revealed that income-prioritizers had a relatively higher sensitivity to multiple job preference incentives. CONCLUSION Income and bianzhi were the two key attributes influencing the job choices and retention preferences of CDC workers. Heterogeneity in job preferences was also identified. Based on the preference characteristics of different subgroups, policy content should be skewed to differentiate the importance of incentives.
China ; Humans ; Male ; Female ; Adult ; Centers for Disease Control and Prevention, U.S. ; Middle Aged ; Choice Behavior ; Career Choice ; Motivation

Type 2 diabetes mellitus(T2DM) is a prevalent metabolic and endocrine disorder. Long-term hyperglycemia can lead to severe chronic complications, imposing substantial economic burdens on both society and patients. Despite the availability of various hypoglycemic agents for clinical use, these agents often fail to meet the therapeutic needs of T2DM and its complications. Consequently, there is an urgent need for novel therapeutic strategies and drugs. Lithocarpus litseifolius(L. litseifolius), commonly referred to as "cordyceps on trees", has a long history of use in traditional medicine and can be applied in tea, sugar, and medicine. Research indicates that L. litseifolius extracts are rich in dihydrochalcones, including trilobatin, phloridzin, and phloretin, which exhibit a range of pharmacological activities, such as anti-inflammatory, antioxidant, hypoglycemic, hypolipidemic, hepatoprotective, and cardioprotective effects. These properties suggest potential applications in the treatment of T2DM and its complications. This review systematically compiled and organized the relevant literature from the past decade on dihydrochalcones(trilobatin, phloridzin, and phloretin) from L. litseifolius extracts. It highlighted recent research progress regarding their role in treating T2DM and its complications through mechanisms such as reducing insulin resistance, regulating glucose transport, improving glucose and lipid metabolism, modulating enzyme activity, regulating gut microbiota, and alleviating inflammation and oxidative damage. The purpose of this review is to provide a reference and basis for future research on the prevention and treatment of T2DM and its complications using dihydrochalcones(trilobatin, phloridzin, and phloretin) from L. litseifolius extracts.
Chalcones/chemistry* ; Diabetes Mellitus, Type 2/metabolism* ; Humans ; Animals ; Elaeocarpaceae/chemistry* ; Drugs, Chinese Herbal/therapeutic use* ; Hypoglycemic Agents/chemistry* ; Plant Extracts/chemistry*

Based on commonly used acupoints in the clinical acupuncture treatment of functional dyspepsia （FD）， this study systematically analyzes the therapeutic differences and synergistic effects between local and distal point selection. It also examines the suitability of primary acupoint selection for different FD subtypes， postprandial distress syndrome （PDS） and epigastric pain syndrome （EPS）. The findings suggest that a combination of local and distal acupoints may be more appropriate as primary points for PDS， whereas local acupoints alone may be more suitable for EPS. Additionally， the study explores the impact of various factors， such as stimulation techniques， needling order， intensity or stimulation parameters， and depth， on the efficacy of acupuncture. It concludes that the intrinsic properties of acupoints are the primary determinants of therapeutic direction. Other factors mainly influence the magnitude rather than the direction of the effect. Future research may further investigate how different acupoint combinations， local versus distal， affect the treatment outcomes of FD subtypes， providing new insights for clinical acupuncture prescriptions.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

Objective To observe the clinical efficacy of citicoline sodium tablets combined with huperzine A tablets in the treatment of patients with cognitive impairment after stroke,and to explore the influence on neurological function and serum levels of vascular endothelial growth factor(VEGF)and brain-derived neurotrophic factor(BDNF).Methods Patients with cognitive impairment after stroke were classified into control group and treatment group according to cohort method.The control group was given oral administration of huperzine A tablets 0.1-0.2 mg for twice a day,while the treatment group was given 0.2 g citicoline sodium tablets orally for three times a day on the basis of the control group.Both groups of patients were treated for 12 weeks.The clinical efficacy,cognitive function[Mini-Mental State Examination(MMSE),National Institute of Health stroke scale,Barthel index],neurological function and daily living ability and serum vascular endothelial growth factor(VEGF)and brain-derived neurotrophic factor(BDNF)levels were compared and safety was evaluated.Results One hundred patients were enrolled in the experimental group and the control group.After treatment,the total effective rates in treatment group and control group were 92.00％(92 cases/100 cases)and 75.00％(75 cases/100 cases)with significant difference(P＜0.05).The MMSE scores in treatment group and control group after treatment were(23.40±2.43)and(19.35±2.51)points;the scores of National Institutes of Health Stroke Scale were(12.25±1.24)and(15.84±1.61)points;the Barthel Index scores were(71.14±8.60)and(64.26±8.33)points;VEGF levels were(191.52±14.80)and(125.73±11.48)pg·mL-1;BDNF levels were(9.47±1.59)and(8.01±1.35)ng·mL-1.There were statistically significant differences in the above indexes between the treatment group and the control group(all P＜0.05).The adverse drug reactions in the treatment group were mainly dizziness and nausea,and the adverse drug reactions in the control group were mainly dizziness and nausea.The incidence rates of adverse drug reactions in treatment group and control group were 8.00％(8 cases/100 cases)and 5.00％(5 cases/100 cases)(P＞0.05).Conclusion Citicoline sodium tablets combined with huperzine A tablets have a definite efficacy in the treatment of patients with cognitive impairment after stroke,and it has a significant improvement effect on cognitive function and neurological function of patients,with good safety.

Objective To explore the clinical characteristics of patients with alcoholic liver disease(ALD)of various traditional Chinese medicine(TCM)syndrome types.Methods A retrospective analysis was conducted in 129 patients with alcoholic liver disease who met the inclusion and exclusion criteria in Foshan Hospital of Traditional Chinese Medicine from 2018 to 2022.The general data of the patients as well as their TCM syndrome types and clinical information of liver and kidney function,blood lipid,liver transient elastography during the hospital visit were collected.The distribution of TCM syndrome types in ALD patients was analyzed,and the clinical characteristics of the ALD patients with various TCM syndrome types were explored.Results(1)Of the 129 patients,128(99.22%)were male and only one(0.78%)was female,the average age was(48.71±11.50)years old,and the average body mass index(BMI)was(23.82±3.98)kg·m-2.(2)Damp-heat accumulation syndrome was most common syndrome type in ALD patients,with a total of 70 cases(54.26%),and then came liver depression and spleen deficiency syndrome(24 cases,18.60%),internal obstruction of phlegm-damp syndrome(22 cases,17.05%),liver-kidney sufficiency syndrome(7 cases,5.43%),phlegm interweaved with blood stasis syndrome(3 cases,2.33%),and internal accumulation of blood stasis syndrome(3 cases,2.33%).(3)The analysis of clinical characteristics by non-parametric rank sum test showed that there were no statistically significant differences in BMI,alcohol consumption,aspartate aminotransferase(AST),gamma-glutamyltransferase(GGT),total bilirubin(TBIL),alkaline phosphatase(ALP),triglyceride(TG),liver stiffness measurement(LSM),and controlled attenuation parameter(CAP)which reflects the fat content of liver in ALD patients with various TCM syndrome types(P＜0.05 or P＜0.01).The prominent features were as follows:patients with the 4 types of liver depression and spleen deficiency,internal obstruction of phlegm-damp,phlegm interweaved with blood stasis,and internal accumulation of blood stasis had a BMI exceeding the standard(＞24 kg·m-2),whereas patients with damp-heat accumulation syndrome and liver-kidney deficiency syndrome,which accounted for 54.26%of the sample size,had a BMI within the normal range(23.03 kg·m-2 and 21.42 kg·m-2,respectively),and the BMI of these two types differed from that(26.44 kg·m-2)of the internal obstruction of phlegm-damp syndrome(P＜0.01),suggesting that more than half of the ALD patients had the normal BMI;moreover,the patients with internal obstruction of phlegm-damp also had the highest values of serum TG(2.69 mmol/L)and CAP(292 db/m)except for the highest BMI,indicating that patients with internal obstruction of phlegm-damp syndrome had a more serious degree of obesity and hepatic fat infiltration than those with other syndrome types;the levels of AST and GGT,which separately reflect the chronic inflammatory injury of liver and bile duct cell injury,were significantly increased in the patients with damp-heat accumulation syndrome and liver-kidney deficiency syndrome,and the LSM value of these two types of patients was also the highest in all of the syndrome types,the differences being all statistically significant(P＜0.05 or P＜0.01).Conclusion Damp-heat accumulation syndrome is the main TCM syndrome type of ALD patients,the degree of fatty infiltration of the liver and overweight of ALD patients are not corresponded to the severity of illness,and there are some differences in the clinical indicators of ALD patients with various TCM syndrome types.However,with cross reference to the data of the four diagnostic examinations of TCM and the clinical indicators,the accuracy of the TCM diagnosis of ALD is expected to be increased.

Objective:To evaluate the quality of critical patient handover practice between emergency room and intensive care unit (ICU) nurses, and to provide a basis for structured handover process.Methods:From March to July 2023, a total of 223 pairs of nurses in emergency room and ICU (including EICU) of 5 Class 3 Grade A general hospitals in Suzhou were selected as the research objects by using cross-sectional survey method and convenience sampling method. Self-designed general information questionnaire and Patient Handover Practice Quality Scale were used to investigate the included 223 pairs of nurses in emergency room and ICU on the current situation of handover time and quality.Results:A total of 211 pairs of nurses were included, including 286 females (67.8%) and 136 males (32.2%). The average age of emergency department nurses was (27.31 ± 2.17) years old, and ICU nurses was (26.96 ± 3.04) years old. The total scores of the patient handover practice Quality Scale for nurses in the emergency room and ICU were (45.25 ± 6.26) and (43.55 ± 7.19) points respectively, and the scores of the information transmission dimension were (20.47 ± 5.43) and (17.66 ± 3.45) points. The scores of common understanding dimension were (7.59 ± 2.31) and (8.58 ± 2.46) points. The scores of work atmosphere dimension were (7.93 ± 2.11) and (8.39 ± 2.29) points. The scores of handover situation dimension were (5.33 ± 1.30) and (5.70 ± 1.53) points, and the differences were statistically significant ( t values were - 6.35-4.22, all P<0.05). There were statistically significant differences in the scores of handover practice quality between emergency room nurses and ICU nurses according to specialization, education background, working years and job category ( t values were - 4.91-2.56, all P<0.05). Conclusions:Emergency room nurses and ICU nurses have different requirements and expectations for handover procedures, so it is necessary to build a structured handover practice framework and carry out personalized handover practice training, in order to achieve the consistency of handover content and improve the quality of critical patients handover practice.