Objective:To develop a comprehensive training curriculum to enhance the effective implementation of the national initiative promoting dementia care and prevention.Methods:The Delphi method was utilized in an expert consultation that included 44 participants.The initial draft of the training curriculum was developed based on the current state of dementia care and prevention.This draft was subsequently evaluated for its importance, feasibility, and ease of dissemination.Experts offered targeted modifications and additional recommendations.Results:The recovery rate of the expert consultation questionnaire was 95.5%, with a recovery validity rate of 90.9%.The expert authority coefficient was 0.91, and the Kendall's coordination coefficient( W)for expert scoring was 0.316, with a significance level of P<0.001.Four course modules were ultimately identified: the foundation of memory clinic work, the complete management practice skills, group counseling techniques for caregivers, and practical skills for caregivers.The importance of these modules was rated with a mean of 4.92 to 4.95, and the coefficient of variation ranged from 0.044 to 0.063.Each module had a mean value of 4.92 to 4.95, with a coefficient of variation of 0.044 to 0.063; the mean value for practicality was between 4.78 and 4.92, with a coefficient of variation of 0.055 to 0.098; and the mean value for ease of generalization ranged from 4.28 to 4.65, with a coefficient of variation from 0.140 to 0.203.The four modules comprised a total of 55 specific course content items, with the mean value for each item ranging from 4.76 to 5.00 and a coefficient of variation from 0.000 to 0.121.The mean value of usefulness assigned to each entry ranged from 4.55 to 4.98, with a coefficient of variation from 0.031 to 0.150.Additionally, the mean value for ease of propagation assigned to each entry ranged from 4.00 to 4.83, with a coefficient of variation from 0.091 to 0.245. Conclusions:The developed training curriculum, which comprises four course modules and 55 items, demonstrated consistently high levels of importance, practicality, and ease of dissemination.These findings indicate that the curriculum is well-aligned with national initiatives aimed at enhancing dementia care and prevention.

Objective: To investigate the therapeutic effect of bone marrow mesenchymal stem cells ( BMSCs) mod- ified by bone morphogenetic protein ( BMP) -2 gene combined with nano-hydroxyapatite ( nHA) / polyamide 66 ( PA66) on femoral nonunion in rats． Methods : Rat BMSCs were isolated and divided into the stent + BMSCs group，stent + BMSCs + rhBMP-2 group，and stent + BMSCs + Ad-BMP-2 group; human recombinant BMP-2 ( rh- BMP-2) or adenovirus-infected BMP-2 ( Ad-BMP-2) vector was transfected into BMSCs and loaded onto nHA / PA66 stent materials．Flow cytometry was used to detect that BMSCs expressed specific surface markers．Cell pro- liferation was detected by MTT assay，related bioactive factors［platelet-derived growth factor ( PDGF) ，transfor- ming growth factor-β ( TGF-β) ，vascular endothelial growth factor ( VEGF) ，fibroblast growth factor ( FGF) ，os- teocalcin ( OCN) ，osteonectin ( ON) ］were detected by ELISA，alkaline phosphatase ( ALP) activity was detec- ted，and cell growth and adhesion were observed by scanning electron microscopy ( SEM) ．In the atrophic nonun- ion model of SD rats，the stent + BMSCs + rhBMP-2 or stent + BMSCs + Ad-BMP-2 complex was implanted into the defect area，which was divided into the rhBMP-2 group and the Ad-BMP-2 group，and the therapeutic effect was e- valuated by X-ray and MicroCT． Results: The surface of the nHA / PA66 stent was smooth and porous，and BMSCs adhered well．Flow cytometry showed high expression of CD29 and CD90 and low expression of CD45 and CD34 in BMSCs．MTT showed that the cells proliferated rapidly after 72 h．Compared with the stent + BMSCs group and the stent + BMSCs + rhBMP-2 group，the ALP activity，the expressions of PDGF，TGF-β , VEGF，FGF，OCN，and ON in the stent + BMSCs + Ad-BMP-2 group were significantly up-regulated ( P＜0. 05) ．12 weeks after surgery， the stent complex in the Ad-BMP-2 group of rats was completely wrapped by newly formed cortical bone，and the surface was smooth and intact．X-ray showed that the complex in the Ad-BMP-2 group was completely wrapped by newly formed cortical bone，and the recovery degree was better than that in the rhBMP-2 group．Micro-CT results showed that compared with the rhBMP-2 group，the bone volume fraction，trabecular thickness，trabecular num- ber，bone mineral density，and bone mineral content in the Ad-BMP-2 group all increased 12 weeks after surgery ( P＜0. 05) ，and the trabecular separation level decreased ( P＜0. 05) ． Conclusion Ad-BMP-2-transfected BM- SCs combined with nHA / PA66 stent material can express bioactivity more effectively，provide a continuous and good microenvironment for the proliferation and differentiation of BMSCs，which is beneficial to promoting local os- teogenic activity and bone defect repair．

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

Objective:To develop a comprehensive training curriculum to enhance the effective implementation of the national initiative promoting dementia care and prevention.Methods:The Delphi method was utilized in an expert consultation that included 44 participants.The initial draft of the training curriculum was developed based on the current state of dementia care and prevention.This draft was subsequently evaluated for its importance, feasibility, and ease of dissemination.Experts offered targeted modifications and additional recommendations.Results:The recovery rate of the expert consultation questionnaire was 95.5%, with a recovery validity rate of 90.9%.The expert authority coefficient was 0.91, and the Kendall's coordination coefficient( W)for expert scoring was 0.316, with a significance level of P<0.001.Four course modules were ultimately identified: the foundation of memory clinic work, the complete management practice skills, group counseling techniques for caregivers, and practical skills for caregivers.The importance of these modules was rated with a mean of 4.92 to 4.95, and the coefficient of variation ranged from 0.044 to 0.063.Each module had a mean value of 4.92 to 4.95, with a coefficient of variation of 0.044 to 0.063; the mean value for practicality was between 4.78 and 4.92, with a coefficient of variation of 0.055 to 0.098; and the mean value for ease of generalization ranged from 4.28 to 4.65, with a coefficient of variation from 0.140 to 0.203.The four modules comprised a total of 55 specific course content items, with the mean value for each item ranging from 4.76 to 5.00 and a coefficient of variation from 0.000 to 0.121.The mean value of usefulness assigned to each entry ranged from 4.55 to 4.98, with a coefficient of variation from 0.031 to 0.150.Additionally, the mean value for ease of propagation assigned to each entry ranged from 4.00 to 4.83, with a coefficient of variation from 0.091 to 0.245. Conclusions:The developed training curriculum, which comprises four course modules and 55 items, demonstrated consistently high levels of importance, practicality, and ease of dissemination.These findings indicate that the curriculum is well-aligned with national initiatives aimed at enhancing dementia care and prevention.

Objective:To summarize the characteristics of oral contrast ultrasound in patients with esophageal hiatal hernia (EHH), to screen the diagnostic criteria for EHH diagnosis by oral contrast ultrasound and to evaluate their diagnostic values.Methods:Sixty-one patients who visited the Hernia and Abdominal Wall Surgery Department of the Sixth Affiliated Hospital of Sun Yat-sen University from June 2023 to December 2023 for symptoms of acid reflux, heartburn, belching, recurrent epigastric pain, chest pain, and cough, and who were clinically suspected of EHH and underwent oral contrast ultrasound were retrospectively collected. The internal diameter of the esophageal hiatus, the length of the intraabdominal esophagus (IAEL), the angle of His, the supradiaphragmatic hernia sac, the sign of gastric wall sliding, and the sign of esophageal-gastric ring uplift were recorded by oral contrast ultrasound. All ultrasonographic data were retrospectively analyzed, and the diagnosis of EHH by surgery or with the simultaneous diagnosis of EHH by barium meal examination and gastroscopy were used as the gold standard. The diagnostic criteria of oral contrast ultrasound for EHH were obtained and their diagnostic values were evaluated by ROC curve analysis.Results:The indicators of EHH diagnosed by oral contrast ultrasound were analyzed according to ROC curves as follows: internal diameter of esophageal hiatus >15 mm (AUC=0.913), IAEL≤33 mm (AUC=0.776), angle of His > 90° (AUC=0.735), supradiaphragmatic hernia sac (AUC=0.913), gastric wall sliding sign (AUC=0.827), upward displacement of the esophagogastric ring (AUC=0.721). The diagnostic sensitivity, specificity, accuracy, positive predictive value, negative predictive value, AUC, and 95% CI of the diagnosis of EHH using the internal diameter of the esophageal hiatus >15 mm or the presence of a supradiaphragmatic hernia sac as the diagnostic criterion for the diagnosis of EHH by oral contrast ultrasound were 86.5%, 100%, 88.5%, 100%, 56.3%, 0.933, and 0.838-0.981, respectively. Conclusions:The optimal diagnostic criterion for EHH diagnosis by oral contrast ultrasound is esophageal hiatal internal diameter >15 mm or the presence of supradiaphragmatic hernia sac, which has 100% specificity and positive predictive value. It is recommended to be widely used as a screening test for EHH in the clinic.

Objective:To investigate the value of quantitative parameters of amide proton transfer-weighted (APTw) imaging and dynamic contrast-enhanced (DCE)-MRI for preoperative assessment of human epidermal growth factor receptor 2 (Her-2) gene expression in endometrial cancer (EC).Methods:This research conducted a diagnostic pilot study involving 68 patients with pathologically confirmed EC at the First Hospital of Dalian Medical University from August 2019 to August 2023. Patients were categorized into Her-2-positive group (33 cases) and Her-2-negative group (35 cases) based on postoperative Her-2 gene expression results. Utilizing the APTw and DCE-MRI sequences, quantitative parameters including the asymmetric magnetization transfer ratio (MTR asym) for APTw and the volumetric transfer constant (K trans), plasma volume fraction (V p), extracellular mesenchymal space (V e), and rate constant (K ep) for DCE-MRI were acquired for the lesion site. Statistical differences in the values of each quantitative parameter between the two groups were evaluated using two independent sample t test or Mann-Whitney U test. The study incorporated quantitative parameters and clinicopathological data of patients to identify independent predictors of EC Her-2 gene expression through logistic regression analysis. A diagnostic model was developed using binary logistic regression analysis. The effectiveness of the parameters and diagnostic model was evaluated using receiver operating characteristic curves. DeLong test was used to compare the differences between the areas under the curves (AUC). Results:The study found statistically significant differences in MTR asym, K trans, and V e between the Her-2-positive group and the Her-2-negative group ( Z=2.55, P=0.011; t=-2.03, P=0.047; t=-2.13, P=0.037). However, the differences in V p and K ep were not statistically significant ( Z=0.58, P=0.560; Z=0.19, P=0.849). MTR asym emerged as a significant independent predictor of Her-2 gene expression in EC ( OR=1.016, 95% CI 1.003-1.030, P=0.014). Incorporating MTR asym, K trans, and V e, the diagnostic model yielded an AUC (95% CI) of 0.745 (0.625-0.864). The AUC (95% CI) for MTR asym, K trans, and V e alone were 0.680 (0.551-0.808), 0.623 (0.485-0.760), and 0.656 (0.523-0.789) respectively. The differences in AUC between the diagnostic model and individual predictors MTR asym, K trans, and V e were not found to be statistically significant ( Z=1.40, 1.92, 1.37, P=0.163, 0.055, 0.171). Conclusion:The quantitative parameters of APTw and DCE-MRI sequences can preoperatively assess EC Her-2 gene expression from a different perspective, with MTR asym potentially serving as a valuable independent predictor.

Polycystic ovary syndrome （PCOS） is a reproductive endocrine disorder characterized by coexisting reproductive dysfunction and glucolipid metabolic disturbance， affecting 8%-13% of women of reproductive age and 3%-11% of adolescent females. Due to the highly heterogeneous clinical features， symptom-oriented individualized strategies are commonly adopted for the treatment of PCOS. Chronic low-grade inflammation is one of the core mechanisms for the occurrence of PCOS. Macrophages， as foundational cells of innate immunity， play an indispensable role in modulating systemic inflammatory responses. The imbalance of macrophage M1/M2 polarization is involved in chronic low-grade inflammation in PCOS via pathways such as activating pro-inflammatory responses， disrupting ovarian tissue repair， stimulating excessive synthesis of androgens， and promoting the occurrence of insulin resistance. Reshaping the phenotype of macrophages might serve as a potential therapeutic strategy for PCOS. Traditional Chinese medicine （TCM） holds that spleen deficiency and phlegm dampness is a crucial pathogenesis of PCOS. The spleen， being in charge of defensive function， plays a key role in ensuring normal physiological functions such as transportation and defense against external pathogen during the occurrence and development of PCOS. The imbalance of macrophage polarization resembles the transition from spleen being in charge of defensive function to spleen losing its defensive role in TCM. Therefore， this paper， for the first time， explores the deep connection between macrophage polarization and the pathogenesis of chronic low-grade inflammation in PCOS from the TCM theory of spleen being in charge of defensive function， providing theoretical support and new research directions for the treatment and drug research of PCOS.

Background: and Purpose Collateral circulation is considered an important factor affecting the risk of stroke, but the factors that affect collateral circulation remain unclear. This study was performed to identify the factors associated with collateral circulation, especially blood lipids. Methods: The study involved patients who had undergone digital subtraction angiography and were confirmed as having severe unilateral stenosis or occlusion of the internal carotid artery (ICA). We classified the collateral circulation status of each patient as good (Grade 3 or 4) or poor (Grade 0, 1, or 2) according to the grading system of the American Society of Interventional and Therapeutic Neuroradiology/American Society of Interventional Radiology. We collected data on patients’ characteristics and identified the factors that affect collateral circulation. Results: This study included 212 patients. The multivariate logistic regression analysis showed that the high-density lipoprotein cholesterol (HDL-C) concentration and a complete anterior half of the circle of Willis were independent protective factors for good collateral circulation, whereas elevated lipoprotein(a) [Lp(a)] and serum creatinine concentrations were independent risk factors for good collateral circulation. The area under the receiver operating characteristics curve (AUC) was 0.68 (95% confidence interval [CI], 0.61–0.76) for HDL-C and 0.69 (95% CI, 0.62–0.76) for Lp(a). A binary logistic regression model analysis of the joint factor of HDL-C and Lp(a) yielded an AUC of 0.77 (95% CI, 0.71–0.84). Conclusions In patients with severe unilateral ICA stenosis or occlusion, the combination of HDL-C and Lp(a) is a useful predictor of collateral circulation.

COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread across the globe, posing an enormous threat to public health and safety. Traditional Chinese medicine (TCM), in combination with Western medicine (WM), has made important and lasting contributions in the battle against COVID-19. In this review, updated clinical effects and potential mechanisms of TCM, presented in newly recognized three distinct phases of the disease, are summarized and discussed. By integrating the available clinical and preclinical evidence, the efficacies and underlying mechanisms of TCM on COVID-19, including the highly recommended three Chinese patent medicines and three Chinese medicine formulas, are described in a panorama. We hope that this comprehensive review not only provides a reference for health care professionals and the public to recognize the significant contributions of TCM for COVID-19, but also serves as an evidence-based in-depth summary and analysis to facilitate understanding the true scientific value of TCM.