Objectives: . The prognostic value of the pretreatment albumin-to-alkaline phosphatase ratio (AAPR) in head and neck cancer (HNC) remains uncertain. This meta-analysis aimed to evaluate the predictive role of AAPR for survival outcomes in patients with HNC. Methods: . A comprehensive search of the Cochrane Library, PubMed, and Embase databases was conducted to identify relevant studies published up to July 30, 2024. We included studies on AAPR and survival outcomes in HNC patients. Results: . Eight studies comprising 1,737 HNC patients were analyzed using random-effects models. Lower AAPR values were significantly correlated with worse overall survival (hazard ratio [HR], 2.08), progression-free survival (HR, 2.00), and disease-free survival (HR, 2.18). Sensitivity analyses confirmed the robustness of these results, with no significant publication bias detected. Conclusion . Our findings suggest that pretreatment AAPR could serve as a valuable and cost-effective prognostic indicator in HNC, potentially aiding clinicians in risk stratification and treatment decision-making. However, additional validation studies are warranted to confirm its clinical applicability.

ObjectiveNon-invasive magnetic stimulation technology has been widely used in the treatment of Alzheimer’s disease (AD), but there is a lack of convenient and timely methods for evaluating and providing feedback on the effectiveness of the stimulation, which can be used to guide the adjustment of the stimulation protocol. This study aims to explore the possibility of heart rate variability (HRV) in diagnosing AD and guiding AD magnetic stimulation intervention techniques. MethodsIn this study, we used a 40 Hz, 10 mT pulsed magnetic field to expose AD mouse models to whole-body exposure for 18 d, and detected the behavioral and electroencephalographic signals before and after exposure, as well as the instant electrocardiographic signals after exposure every day. ResultsUsing one-way ANOVA and Pearson correlation coefficient analysis, we found that some HRV indicators could identify AD mouse models as accurately as behavioral and electroencephalogram(EEG) changes (P<0.05) and significantly distinguish the severity of the disease (P<0.05), including rMSSD, pNN6, LF/HF, SD1/SD2, and entropy arrangement. These HRV indicators showed good correlation and statistical significance with behavioral and EEG changes (r>0.3, P<0.05); HRV indicators were significantly modulated by the magnetic field exposure before and after the exposure, both of which were observed in the continuous changes of electrocardiogram (ECG) (P<0.05), and the trend of the stimulation effect was more accurately observed in the continuous changes of ECG. ConclusionHRV can accurately reflect the pathophysiological changes and disease degree, quickly evaluate the effect of magnetic stimulation, and has the potential to guide the pattern of magnetic exposure, providing a new idea for the study of personalized electromagnetic neuroregulation technology for brain diseases.

Wound healing is a dynamic physiological process involving haemostasis,inflammation,pro-liferation and tissue remodeling.Skin injuries,such as diabetic foot ulcers,venous ulcers,and pressure ulcers,are difficult to heal and impose a serious physical and psychological burden on patients,and tra-ditional treatments are difficult to address such problems.In recent years,Chinese herbal medicine-de-rived extracellular vesicles(CHMEVs)have shown promising potential in the field of wound repair and drug delivery due to their excellent biocompatibility,low immunogenicity and high safety.CHMEVs are nano-like particles enriched with herbal small molecule compounds,proteins and metabolites,and are a-ble to cross biological barriers and effectively regulate intercellular communication to promote tissue re-pair.In this review,the isolation and extraction methods of CHMEVs and their roles in wound repair are reviewed,and the prospects and challenges of their clinical applications are discussed.The combination of engineered modification and biomaterials of CHMEVs further expands their potential for application in precision medicine and provides a new idea for the treatment of hard-to-heal wounds in the future.

Establishing a one-stop diagnosis and treatment mode centered on patients and linked by diseases is of great significance for optimizing the medical process and improving the medical experience. In March 2024, a tertiary hospital integrated pediatric outpatient and emergency resources, established a pediatric diagnosis and treatment island through reasonable department settings, strengthened talent team construction, optimized diagnosis and treatment processes, and established supporting guarantee mechanisms. It was officially put into use in June of the same year, providing one-stop diagnosis and treatment services for children and achieving the goal of " not leaving the island for minor illnesses and not leaving the hospital for major illnesses". Before the operation of island (January May 2024), the complaint rate and waiting time for pediatric outpatient and emergency department were 39 cases per 100 000 patients and 15 to 30 minutes, respectively; After operation (June August 2024), the complaint rate and waiting time decreased to 17 cases per 100 000 people and 10 to 20 minutes respectively; The average monthly comprehensive income of outpatient and emergency departments increased by 33%. The pediatric diagnosis and treatment island mode could assist in the sustainable high-quality development of pediatrics in hospital, and provide references for optimizing outpatient and emergency department management in other tertiary public hospitals. In the future, we should further enrich the service content of the island and strengthen information technology construction.

Wound healing is a dynamic physiological process involving haemostasis,inflammation,pro-liferation and tissue remodeling.Skin injuries,such as diabetic foot ulcers,venous ulcers,and pressure ulcers,are difficult to heal and impose a serious physical and psychological burden on patients,and tra-ditional treatments are difficult to address such problems.In recent years,Chinese herbal medicine-de-rived extracellular vesicles(CHMEVs)have shown promising potential in the field of wound repair and drug delivery due to their excellent biocompatibility,low immunogenicity and high safety.CHMEVs are nano-like particles enriched with herbal small molecule compounds,proteins and metabolites,and are a-ble to cross biological barriers and effectively regulate intercellular communication to promote tissue re-pair.In this review,the isolation and extraction methods of CHMEVs and their roles in wound repair are reviewed,and the prospects and challenges of their clinical applications are discussed.The combination of engineered modification and biomaterials of CHMEVs further expands their potential for application in precision medicine and provides a new idea for the treatment of hard-to-heal wounds in the future.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

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Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.