Objective: To investigate the factors influencing intraoperative blood transfusion in patients with hip fractures and to develop a machine learning (ML) model for predicting this risk. Methods: A total of 424 patients with hip fractures who underwent surgical treatment between November 2022 and March 2025 in our hospital were selected. Key feature variables of intraoperative blood transfusion risk were identified using the Boruta algorithm. Four different ML algorithms—support vector machine (SVM), linear discriminant analysis (LDA), mixed discriminant analysis (MDA), and extreme gradient boosting (XGBoost)—were used to develop predictive models for intraoperative blood transfusion risk. The predictive performance of the four ML models were evaluated using accuracy, precision, receiver operating characteristic (ROC) curves, precision-recall curves (PRC), precision-recall gain curves (PRGC), and F1 scores. Shapley additive interpretation (SHAP) was used to interpret the final model. Results: Among the 424 patients, 77(18.2%) received intraoperative blood transfusion. The Boruta algorithm identified albumin (ALB), activated partial thromboplastin time (APTT), types of anesthesia, types of fracture, and hemoglobin (Hb) as key feature variables for predicting intraoperative blood transfusion risk. In model evaluation, the SVM model outperforms the other three models across multiple metrics, including the area under the receiver operating characteristic curve (AUC), recall, recall gain, accuracy, precision, F1 score, and the area under the precision-recall curve (PRC-AUC). The SVM model, interpreted and visualized based on SHAP values, effectively predicted intraoperative blood transfusion risk in patients with hip fracture. A visual online application was developed based on the SVM model (https://pbo-nomogram.shinyapps.io/blood/). Conclusion: Preoperative low ALB and Hb levels, prolonged APTT, general anesthesia, and intertrochanteric fractures are risk factors for intraoperative blood transfusion in hip fracture patients. The risk prediction model for intraoperative blood transfusion constructed based on the SVM algorithm has optimal performance, which provides new ideas and methods for the clinical early identification of hip fracture patients with high transfusion risk and the implementation of targeted interventions.

BACKGROUND: Approximately 40% of individuals with diabetes worldwide are at risk of developing diabetic kidney disease (DKD), which is not only the leading cause of kidney failure, but also significantly increases the risk of cardiovascular disease, causing significant societal health and financial burdens. This study aimed to describe the burden of DKD and explore its cross-country epidemiological status, predict development trends, and assess its risk factors and sociodemographic transitions. METHODS: Based on the Global Burden of Diseases (GBD) Study 2021, data on DKD due to type 1 diabetes (DKD-T1DM) and type 2 diabetes (DKD-T2DM) were analyzed by sex, age, year, and location. Numbers and age-standardized rates were used to compare the disease burden between DKD-T1DM and DKD-T2DM among locations. Decomposition analysis was used to assess the potential drivers. Locally weighted scatter plot smoothing and Frontier analysis were used to estimate sociodemographic transitions of DKD disability-adjusted life years (DALYs). RESULTS: The DALYs due to DKD increased markedly from 1990 to 2021, with a 74.0% (from 2,227,518 to 3,875,628) and 173.6% (from 4,122,919 to 11,278,935) increase for DKD-T1DM and DKD-T2DM, respectively. In 2030, the estimated DALYs for DKD-T1DM surpassed 4.4 million, with that of DKD-T2DM exceeding 14.6 million. Notably, middle-sociodemographic index (SDI) quintile was responsible for the most significant DALYs. Decomposition analysis revealed that population growth and aging were major drivers for the increased DKD DALYs in most regions. Interestingly, the most pronounced effect of positive DALYs change from 1990 to 2021 was presented in high-SDI quintile, while in low-SDI quintile, DALYs for DKD-T1DM and DKD-T2DM presented a decreasing trend over the past years. Frontiers analysis revealed that there was a negative association between SDI quintiles and age-standardized DALY rates (ASDRs) in DKD-T1DM and DKD-T2DM. Countries with middle-SDI shouldered disproportionately high DKD burden. Kidney dysfunction (nearly 100.0% for DKD-T1DM and DKD-T2DM), high fasting plasma glucose (70.8% for DKD-T1DM and 87.4% for DKD-T2DM), and non-optimal temperatures (low and high, 5.0% for DKD-T1DM and 5.1% for DKD-T2DM) were common risk factors for age-standardized DALYs in T1DM-DKD and T2DM-DKD. There were other specific risk factors for DKD-T2DM such as high body mass index (38.2%), high systolic blood pressure (10.2%), dietary risks (17.8%), low physical activity (6.2%), lead exposure (1.2%), and other environmental risks. CONCLUSIONS DKD markedly increased and varied significantly across regions, contributing to a substantial disease burden, especially in middle-SDI countries. The rise in DKD is primarily driven by population growth, aging, and key risk factors such as high fasting plasma glucose and kidney dysfunction, with projections suggesting continued escalation of the burden by 2030.
Humans ; Global Burden of Disease ; Risk Factors ; Male ; Female ; Disability-Adjusted Life Years ; Diabetic Nephropathies/epidemiology* ; Middle Aged ; Diabetes Mellitus, Type 2/epidemiology* ; Adult ; Diabetes Mellitus, Type 1/complications* ; Aged ; Adolescent ; Young Adult ; Quality-Adjusted Life Years

Metabolic dysfunction-associated steatotic liver disease (MASLD) comprises a spectrum of liver injuries, including steatosis to steatohepatitis (MASH), liver fibrosis, cirrhosis, and relevant complications. The liver mainly comprises hepatocytes, liver sinusoidal endothelial cells (LSECs), Kupffer cells (KCs), immune cells (T cells, B cells), and hepatic stellate cells (HSCs). Crosstalk among these different liver cells, endogenous aberrant glycolipid metabolism, and altered gut dysbiosis are involved in the pathophysiology of MASLD. This review systematically examines advances in understanding the molecular pathogenesis of MASLD, with a focus on emerging therapeutic targets and translational clinical trials. We first delineate the crucial regulatory mechanisms involving diverse liver cells and the gut-liver axis in MASLD development. These cell-specific pathogenic insights offer valuable perspectives for advancing precision medicine approaches in MASLD treatment. Furthermore, we evaluate potential therapeutic targets and summarize clinical trials currently underway. By comprehensively updating the MASLD pathophysiology and identifying promising strategies, this review aims to facilitate the development of novel pharmacotherapies for this increasingly prevalent condition.
Humans ; Fatty Liver/therapy* ; Animals ; Liver/pathology* ; Kupffer Cells/metabolism* ; Hepatocytes/metabolism* ; Hepatic Stellate Cells/metabolism*

Objective In this study,we investigated the correlation between the scores for different Liebowitz Social Anxiety Scale(LSAS)subscale models and the metabolic activity in specific regions of the brain using 18F-fluorodeoxyglucose(FDG)positron emission tomography/computed tomography(PET/CT)(18F-FDG PET),thereby improving the understanding of the neurobiological characteristics of social anxiety.Methods A total of 39 cognitively normal participants(29 men and 10 women,aged 30-63 years)were enrolled.All participants underwent LSAS assessment and brain 18F-FDG PET scanning.Correlations between metabolic activities in various brain regions and scores from the different LSAS subscales were analyzed accordingly.Results LSAS subscale scores were significantly correlated with metabolic activity in specific brain regions.In the Safren model,the score for the observation by others subscale was positively correlated with the left fusiform gyrus(P<0.001,false discovery rate[FDR]-corrected)and the left caudate tail(P<0.001,FDR-corrected),suggesting a close association between mood states related to observation by others and the metabolic activity in these regions.In the Baker model,the score for the eating and drinking subscale was negatively correlated with the right precuneus(P<0.001,FDR-corrected),while the score for the assertiveness subscale was positively correlated with the left caudate nucleus(P<0.001,FDR-corrected).These findings revealed the complex associative patterns between various mood and behavioral dimensions and metabolic activities in specific brain regions.Conclusion Social anxiety symptoms are closely associated with metabolic changes in specific brain regions,including the left insula,left caudate tail,and right precuneus.Moreover,different social situations activate distinct brain regions.Compared with individuals with social anxiety disorder,normal individuals exhibit involvement of fewer brain regions when experiencing social anxiety.These findings provide new experimental evidence for understanding the neural mechanisms underlying social anxiety.

【Objective】 To analyze the height growth of children aged 6 - 15 years in Nanning, Guangxi Zhuang Autonomous Region, so as to provide evidence for the assessment of local children′s height development. 【Methods】 A total of 25 225 children aged 6 - 15 years were selected to get their physical examination data from 41 primary schools in Nanning by stratified cluster sampling method in December 2021.Then the height data were compared with the current domestic standards. 【Results】 The average height of boys in Nanning was lower than the national standard before the age of 10 years and 7 months, and the gap with the national standard gradually narrowed after the age of 10 years and 7 months. The average height of boys in Nanning City exceeded the national standard between the age of 11 years and 1 month and 13 years and 6 months, and then lagged behind the national standard again after the age of 13 years and 7 months. The mean height of girls in Nanning City was lower than the national standard height in several age groups, and it was more obvious before the age of 9 years and 7 months. The proportion of height ≤-2s,≤-s,≥ +s and ≥+2s in boys aged 6 to 15 years in Nanning City fluctuated from 2.59% to 6.04%, 12.09% to 23.43%, 7.18% to 18.79% and 0.93% to 3.14%, respectively; the total proportions were 4.56%, 17.46%, 11.35% and 1.74%, respectively; the minimum/maximum proportion values of each height group were at 11 years old /8 years old, 14 years old/8 years old, 8 years old/12 years old, and 6 years old/11 years old, respectively. The proportions of girls aged 6 - 15 years in Nanning City with height ≤-2s, ≤-s, ≥+s, and ≥+2s fluctuated from 2.06% to 5.19%, 9.35% to 25.15%, 8.21% to 15.80% and 1.23% to 3.49%, respectively; the total proportions were 3.38%, 16.91%, 11.97% and 2.29%, respectively; and the minimum/maximum proportion values of each height group were at 13 years old/6 years old, 12 years old/6 years old, 7 years old/12 years old, and 6 years old/11 years old, respectively. 【Conclusions】 The overall height level of children in Nanning is still lower than the national level, with short prepubertal basal heights, an earlier age of onset of accelerated pubertal height, and a shorter duration of accelerated pubertal height in boys. Strengthening pre-pubertal height management and emphasizing the onset and duration of children′s pubertal development, especially the height development of boys during puberty, can help improve the adult lifelong height of children in this region.

Objective To study the influence of implant depth and scanning rod lengths on the accuracy of digital impression for single-tooth implant restoration of the mandibular posterior teeth.Methods Five standard dental cast models with missing right mandibular first molar(46)were prepared with the subgingival implant depths of 0,1,3,5 and 7 mm.ITI RC and ITI RC H11 scanning rods were connected to the replacement body and placed into the seating tract for scanning.The reference data were obtained using a 3D dental scanner,and the experimental data were obtained by 10 scans of each model using a digitized intraoral scanner.Geomagic Wrap 2021 was used to analyze the model data to test the trueness and precision of the models.Results The trueness did not differ significantly among the groups(P>0.05).The implant depth of 1 mm achieved the highest impression precision(66.81±2.45 μm),and the depth of 0 mm resulted in a significantly lower precision(95.60±3.04 μm)than the depth of 1 and 3 mm.Starting from the subgingival depth of 1 mm,the precision of the scan decreased progressively with the increase of the implant depth.At the subgingival implant depth of 5 or 7 mm,the use of an extended rod significantly improved the scan precision.Conclusion For single-tooth implant restoration of the mandibular posterior teeth,the implant depth can substantially affect the accuracy of digital impression,which decreases as the implant depth increases.For a deep implant,the use of a longer scanning rod can improve the scanning accuracy.

Ameloblastoma is a benign tumor characterized by locally invasive phenotypes,leading to facial bone destruction and a high recurrence rate.However,the mechanisms governing tumor initiation and recurrence are poorly understood.Here,we uncovered cellular landscapes and mechanisms that underlie tumor recurrence in ameloblastoma at single-cell resolution.Our results revealed that ameloblastoma exhibits five tumor subpopulations varying with respect to immune response(IR),bone remodeling(BR),tooth development(TD),epithelial development(ED),and cell cycle(CC)signatures.Of note,we found that CC ameloblastoma cells were endowed with stemness and contributed to tumor recurrence,which was dominated by the EZH2-mediated program.Targeting EZH2 effectively eliminated CC ameloblastoma cells and inhibited tumor growth in ameloblastoma patient-derived organoids.These data described the tumor subpopulation and clarified the identity,function,and regulatory mechanism of CC ameloblastoma cells,providing a potential therapeutic target for ameloblastoma.

Objective:To investigate the protective effects of Huoxue Rongluo Decoction on hypoxic-ischemic brain damage (HIBD) rats; To clarify the expression of AMPK signaling pathway during HIBD injury and repair.Methods:On the basis of the hypoxia ischemia reperfusion model, an improved hypoxia bottle was used to establish a full-term HIBD rat model. Totally 60 successfully modeled mice were divided into model group and TCM group using a random number table method, with 30 mice in each group and 30 mice in a control group. Two hours before surgery, TCM group was orally administered with Huoxue Rongluo Decoction 1.17 g/100 g (equivalent dose). The control group and model group were orally administered with equal volume of physiological saline. Two hours after surgery, it was orally administered again, twice a day, for consecutive 5 d. Behavioral tests (convulsion assessment, Longa score, suspension test, water maze test) were used to evaluate the motor nerve function and long-term learning ability of young rats in different groups. HE staining and electron microscopy were used to observe the pathological changes of brain tissue and mitochondrial damage. Evans blue (EB) staining and brain water content measurement were used to detect blood-brain barrier permeability and brain edema. The expression of AMPK signaling pathway related genes in brain tissues of different groups of young rats was detected by PCR array technique.Results:Compared with the model group, the convulsions of the rats in the TCM group were improved, the Longa score was significantly reduced, the grip strength test score and suspension time were significantly improved, the escape latency was significantly shortened, and the number of crossing platforms significantly increased ( P<0.05); the degree of neuronal and mitochondrial damage in the TCM group was reduced, and cerebral vascular permeability and brain water content were significantly reduced ( P<0.01). The results of PCR array showed that compared with the control group, 2 genes were significantly up-regulated and 12 genes were significantly down-regulated in the brain tissue of the model group; compared with TCM group, 15 genes were relatively down-regulated in the model group. Conclusion:Huoxue Rongluo Decoction can significantly reduce the degree of brain injury after HIBD, improve the motor nerve function and long-term learning and cognitive ability of model rats, and its damage repair mechanism is related to the expression regulation of AMPK signaling pathway related genes.

Objective To study the influence of implant depth and scanning rod lengths on the accuracy of digital impression for single-tooth implant restoration of the mandibular posterior teeth.Methods Five standard dental cast models with missing right mandibular first molar(46)were prepared with the subgingival implant depths of 0,1,3,5 and 7 mm.ITI RC and ITI RC H11 scanning rods were connected to the replacement body and placed into the seating tract for scanning.The reference data were obtained using a 3D dental scanner,and the experimental data were obtained by 10 scans of each model using a digitized intraoral scanner.Geomagic Wrap 2021 was used to analyze the model data to test the trueness and precision of the models.Results The trueness did not differ significantly among the groups(P>0.05).The implant depth of 1 mm achieved the highest impression precision(66.81±2.45 μm),and the depth of 0 mm resulted in a significantly lower precision(95.60±3.04 μm)than the depth of 1 and 3 mm.Starting from the subgingival depth of 1 mm,the precision of the scan decreased progressively with the increase of the implant depth.At the subgingival implant depth of 5 or 7 mm,the use of an extended rod significantly improved the scan precision.Conclusion For single-tooth implant restoration of the mandibular posterior teeth,the implant depth can substantially affect the accuracy of digital impression,which decreases as the implant depth increases.For a deep implant,the use of a longer scanning rod can improve the scanning accuracy.

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.