ObjectiveTo explore the characteristics of traditional Chinese medicine （TCM） syndromes in the patients with concurrent knee osteoarthritis （KOA） and postmenopausal osteoporosis （PMOP） and provide a scientific basis for precise TCM syndrome differentiation， diagnosis， and treatment of such concurrent diseases. MethodsA prospective， multicenter， cross-sectional clinical survey was conducted to analyze the characteristics of TCM syndromes in the patients with concurrent PMOP and KOA. Excel 2021 was used to statistically analyze the general characteristics of the included patients. Continuous variables were reported as x¯±s， and binary variables were reported as percentages. UCINET and Gephi were used to construct a complex "isease-syndrome-symptom" network for in-depth mining. Topological structure indicators， edge connection information between nodes， and weighted adjacency matrices were calculated by UCINET and Python. Gephi was used for complex network visualization. ResultsA total of 157 patients with concurrent PMOP and KOA from 12 TCM hospitals or community health service centers were selected for the collection of TCM syndrome and symptom information. A total of 4 main TCM syndromes were obtained， which were kidney-Yang deficiency （47.13%）， liver-kidney Yin deficiency （36.94%）， spleen-kidney Yang deficiency （8.92%）， and kidney Yin-Yang deficiency （7.01%）. In addition， 10 concurrent syndromes （mainly Qi stagnation and blood stasis， Qi and blood deficiency， spleen Yang deficiency， and cold-dampness） were identified. Based on the results of comprehensive frequency statistics and complex network analysis， as well as TCM theoretical knowledge and relevant guidelines， the general characteristics of concurrent PMOP and KOA and the main TCM syndromes in the dimensions of physical symptoms， pain， tongue and pulse manifestations， and defecation and urination were obtained. ConclusionThe main TCM syndromes in the patients with concurrent PMOP and KOA may be kidney Yang deficiency， liver-kidney Yin deficiency， spleen-kidney Yang deficiency， and kidney Yin-Yang deficiency， among which kidney Yang deficiency and liver-kidney Yin deficiency are the core TCM syndromes.

ObjectiveTo explore the characteristics of traditional Chinese medicine （TCM） syndromes in the patients with concurrent knee osteoarthritis （KOA） and postmenopausal osteoporosis （PMOP） and provide a scientific basis for precise TCM syndrome differentiation， diagnosis， and treatment of such concurrent diseases. MethodsA prospective， multicenter， cross-sectional clinical survey was conducted to analyze the characteristics of TCM syndromes in the patients with concurrent PMOP and KOA. Excel 2021 was used to statistically analyze the general characteristics of the included patients. Continuous variables were reported as x¯±s， and binary variables were reported as percentages. UCINET and Gephi were used to construct a complex "isease-syndrome-symptom" network for in-depth mining. Topological structure indicators， edge connection information between nodes， and weighted adjacency matrices were calculated by UCINET and Python. Gephi was used for complex network visualization. ResultsA total of 157 patients with concurrent PMOP and KOA from 12 TCM hospitals or community health service centers were selected for the collection of TCM syndrome and symptom information. A total of 4 main TCM syndromes were obtained， which were kidney-Yang deficiency （47.13%）， liver-kidney Yin deficiency （36.94%）， spleen-kidney Yang deficiency （8.92%）， and kidney Yin-Yang deficiency （7.01%）. In addition， 10 concurrent syndromes （mainly Qi stagnation and blood stasis， Qi and blood deficiency， spleen Yang deficiency， and cold-dampness） were identified. Based on the results of comprehensive frequency statistics and complex network analysis， as well as TCM theoretical knowledge and relevant guidelines， the general characteristics of concurrent PMOP and KOA and the main TCM syndromes in the dimensions of physical symptoms， pain， tongue and pulse manifestations， and defecation and urination were obtained. ConclusionThe main TCM syndromes in the patients with concurrent PMOP and KOA may be kidney Yang deficiency， liver-kidney Yin deficiency， spleen-kidney Yang deficiency， and kidney Yin-Yang deficiency， among which kidney Yang deficiency and liver-kidney Yin deficiency are the core TCM syndromes.

Objective To develop a prediction tool for post-endoscopic retrograde cholangiopancreatography(ER-CP)early biliary tract infection(PEEBI)in patients with choledocholithiasis,and assist clinical decision-making be-fore ERCP and early personalized intervention after ERCP.Methods An observational bidirectional cohort study was adopted to select inpatients with choledocholithiasis who underwent ERCP in a hospital.Directed acyclic graph(DAGs)and the least absolute shrinkage and selection operator(LASSO)were used to predict PEEBI based on lo-gistic regression,and the models were compared and validated internally and externally.Results From January 1,2020 to September 30,2023,a total of 2 121 patients with choledocholithiasis underwent ERCP were enrolled,of whom 77(3.6％)developed PEEBI,mostly in the first 2 days after surgery(66.2％).The major influencing fac-tors for PEEBI were non-iatrogenic patient-related factors,namely diabetes mellitus(OR=2.43,95％CI:1.14-4.85),bile duct malignancy(OR=3.95,95％CI:1.74-8.31)and duodenal papillary diverticulum(OR=4.39,95％CI:1.86-9.52).Compared with the LASSO model,the DAGs model showed higher ability(3.0％)in com-prehensive discrimination(P=0.007),as well as good differentiation performance(D=0.133,P=0.894)and cal-ibration performance(x2=5.499,P=0.703)in external validation.Conclusion The DAGs model constructed in this study has good predictive performance.With the help of this tool,targeted early preventive measures in clinical practice can be taken to reduce the occurrence of PEEBI.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective:To analyze the positive detection rate, main genotypes of β-thalassemia in western region of Guangxi Zhuang Autonomous Region (referred to as Guangxi).Methods:Retrospective analysis of 26 189 individuals who underwent gene testing for thalassemia at the Affiliated Hospital of Youjiang Medical University for Nationalities from January 2013 to December 2019. Using the crossing breakpoint PCR (Gap-PCR) and reverse dot blot (RDB) techniques to detect Chinese common type of 7 kinds of α-thalassemia and 17 kinds of β-thalassemia genotypes, high-throughput sequencing(Sanger) was performed for suspected rare β-thalassemia. Gap-PCR was used for suspected deletion β-thalassemia types.Results:β-thalassemia was diagnosed in 4 495 (17.16%) of 26 189 samples. A total of 6 177 alleles of 20 types of β-thalassemia were detected, mainly CD17 (2 712 cases, 43.90%) and CD41-42 (2 240 cases, 36.26%), including 7 rare alleles: Gγ +( Aγδβ) 0, SEA-HPFH, Hb New York, Hb G-Taipei, Hb Hezhou, Hb G-Coushatta and IVS-Ⅱ-81. There were 3 903 case (86.83%) heterozygous, 273 case (6.07%) double heterozygous, and 319 case (7.10%) homozygous among 4 495 β-thalassaemia subjects. A total of 48 genotypes were detected. The two most common genotypes were CD17/β N (1 890 cases, 42.05%) and CD41-42/β N (1 212 cases, 26.96%), accounted for 69.01% (3 102/4 495). Seven rare genotypes were detected: Gγ +( Aγδβ) 0/β N in 3 cases, Hb New York/β N in 3 cases, Hb G-Taipei/β N in 2 cases, SEA-HPFH/β N, Hb Hezhou/β N, Hb G-Coushatta/β N and IVS-Ⅱ-81/β N in 1 case each. A total of 1 041 cases (3.97%, 1 041/26 189) of 116 types of αβ-thalassemia were detected, mainly -- SEA/αα composite CD17/β N (144 cases, 13.83%), followed by -α 3.7/αα composite CD17/β N (112 cases, 10.76%). Conclusions:Western region of Guangxi is a high prevalence area of β-thalassemia, CD17/β N and CD41-42/β N are the main genotypes. The variation spectrum of β-thalassemia is complex and diverse, with rich genotype.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

This study aimed to investigate the potential mechanism and the compatibility significance of Tanyu Tongzhi Formula in treating atherosclerosis(AS) in mice based on the transforming growth factor-β(TGF-β)/Smad2/3 signaling pathway. Eight C57BL/6J mice were as assigned to a normal control group and fed a regular diet, while 35 ApoE~(-/-) mice of the same strain were fed a high-fat diet for 8 weeks to establish an AS model. The model mice were randomly divided into a model group, a Tanyu Tongzhi group(18.2 mg·kg~(-1)), a Huatan(phlegm-resolving) group(10.4 mg·kg~(-1)), and a Quyu(blood stasis-resolving) group(7.8 mg·kg~(-1)), with 8 mice in each group. Except for the normal group, all other groups continued to be fed a high-fat diet for 8 weeks to maintain the AS model, and then the mice were treated by gavage for 8 weeks. Plasma levels of total cholesterol(TC), triglycerides(TG), low-density lipoprotein cholesterol(LDL-C), high-density lipoprotein cholesterol(HDL-C), interleukin-1β(IL-1β), and interleukin-18(IL-18) were measured using enzyme-linked immunosorbent assay(ELISA). Hematoxylin and eosin(HE) staining, oil red O staining, and Russell-Movat pentachrome staining were performed to observe the pathological changes in the aortic tissue. The proportions of aortic plaque area, lipid-stained area, collagen fibers, and elastic fibers were calculated. Immunofluorescence was used to detect the protein expression levels of matrix metalloproteinase 2(MMP2) and tissue inhibitor of metalloproteinases 2(TIMP2). Western blot was used to detect the protein expression levels of TGF-β1, TGF-β2, Smad2/3, and Smad7 in aortic tissue. Real-time fluorescence quantitative PCR(RT-qPCR) was used to measure the mRNA expression levels of TGF-β receptor(TGF-βR), TGF-β1, Smad2/3, Smad7, intercellular adhesion molecule-1(ICAM-1), and vascular cell adhesion molecule-1(VCAM-1) in aortic tissue. The results showed that compared with the normal control group, the model group had increased plasma TC and LDL-C, significantly decreased HDL-C, and significantly elevated plasma IL-1β and IL-18 levels. The model group also exhibited an increased proportion of aortic plaque area, lipid-stained area, and collagen fiber area, along with significantly upregulated MMP2 and downregulated TIMP2 expression in the aortic arch. Additionally, the expression levels of TGF-βR, TGF-β1, and p-Smad2/3 proteins and mRNA in the aortic tissue were significantly elevated, while Smad7 expression was decreased. Compared with the model group, the Tanyu Tongzhi group showed significantly reduced plasma TC and LDL-C levels, significantly increased HDL-C levels, and significantly decreased plasma IL-1β and IL-18 levels. The Tanyu Tongzhi group also exhibited a significant reduction in aortic plaque size and severity, a significant downregulation of MMP2 expression in the aortic arch, and significantly decreased ICAM-1 and VCAM-1 mRNA expression levels. Moreover, the Tanyu Tongzhi group demonstrated significantly reduced expression levels of TGF-β1 and p-Smad2/3 proteins and mRNA in the aortic tissue, and an increased expression level of Smad7 protein to varying degrees. Compared with the Tanyu Tongzhi group, the Quyu group had significantly higher LDL-C levels and elevated plasma IL-1β and IL-18 levels. The Huatan group showed upregulated MMP2 expression and downregulated TIMP2 expression in the aortic arch. In conclusion, Tanyu Tongzhi Formula, which is composed based on the pathogenesis of phlegm and blood stasis, maintains vascular homeostasis by primarily regulating lipid metabolism and controlling inflammatory factors through the Huatan group, and maintaining vascular wall permeability, inhibiting plaque development, and stabilizing plaques through the Quyu group. The mechanism of action may involve inhibiting TGF-β1 expression in the aorta, reducing Smad2/3 phosphorylation, and simultaneously increasing Smad7 expression.
Animals ; Atherosclerosis/metabolism* ; Signal Transduction/drug effects* ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Mice, Inbred C57BL ; Male ; Transforming Growth Factor beta/genetics* ; Humans ; Homeostasis/drug effects* ; Aorta/metabolism* ; Smad2 Protein/genetics* ; Smad3 Protein/genetics*

Child ; Humans ; Toxoplasmosis, Cerebral ; Hematopoietic Stem Cell Transplantation ; Thalassemia

The optimal protocol for neuromodulation by transcranial direct current stimulation (tDCS) remains unclear. Using the rotarod paradigm, we found that mouse motor learning was enhanced by anodal tDCS (3.2 mA/cm²) during but not before or after the performance of a task. Dual-task experiments showed that motor learning enhancement was specific to the task accompanied by anodal tDCS. Studies using a mouse model of stroke induced by middle cerebral artery occlusion showed that concurrent anodal tDCS restored motor learning capability in a task-specific manner. Transcranial in vivo Ca²⁺ imaging further showed that anodal tDCS elevated and cathodal tDCS suppressed neuronal activity in the primary motor cortex (M1). Anodal tDCS specifically promoted the activity of task-related M1 neurons during task performance, suggesting that elevated Hebbian synaptic potentiation in task-activated circuits accounts for the motor learning enhancement. Thus, application of tDCS concurrent with the targeted behavioral dysfunction could be an effective approach to treating brain disorders.
Transcranial Direct Current Stimulation/methods* ; Motor Cortex/physiology* ; Neurons ; Transcranial Magnetic Stimulation