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.

Although global brain science research has progressed rapidly in recent decades, several fundamental questions in neuroscience remain unresolved. In particular, the physical mechanism underlying neural signal transmission remains controversial, and the carriers responsible for neural information storage and retrieval have not yet been fully clarified. These unresolved issues motivate us to re-examine the processes of neural information generation, transmission, integration, storage, and retrieval from multiple perspectives. A key observation is that neural electromagnetic activities are closely associated with time. Their duration, temporal structure, and dynamic evolution play crucial roles in neural information processing. In this work, we analyze neural electromagnetic activities from the perspective of temporal scales (referred to here as the “time course”). By reviewing and integrating findings from previous studies, we examine the characteristic time requirements and dynamic features of neural processes occurring at different stages of information processing. These stages include neural signal generation, signal transmission along axons, synaptic integration, synaptic plasticity, and memory formation and retrieval. Based on this temporal analysis, we outline a framework describing neural electromagnetic activities across a wide range of time scales, spanning from microseconds to minutes, hours, or even longer periods associated with long-term memory, which suggests that neural information processing involves multiple physical processes operating at different time levels. Rapid electromagnetic events may occur on microsecond scales, whereas electrophysiological phenomena such as action potentials typically last on the order of milliseconds. Longer time scales are associated with synaptic plasticity and memory-related processes. From this perspective, we propose that the physical carrier of neural information may be transient electromagnetic pulses with durations on the microsecond scale. In this framework, action potentials can be interpreted as the macroscopic electrophysiological manifestation of underlying electromagnetic processes triggered by ionic currents across neuronal membranes. Rather than being the fundamental neural signal itself, the action potential may represent a measurable membrane-level response associated with the successful activation of these electromagnetic events. Moreover, we discuss a possible mechanism for long-term memory storage. Considering the apparent temporal contradiction between the millisecond-scale excitation of neurons and the long-term persistence of memories, we believe that long-term memory information may be stored within neural network topologies formed by electrical synapse coupling. Such structures, referred to as electrically coupled memory networks (ECMNs), may enable neurons within the same network to respond rapidly and synchronously to stimuli, thereby facilitating efficient memory retrieval. Overall, this study emphasizes the importance of considering the temporal organization of neural electromagnetic activities when interpreting neural signaling mechanisms. It may provide new insights into the physical nature of neural information carriers and the mechanisms of memory storage and retrieval. Furthermore, highlighting the potential role of electromagnetic interactions in neural activity may contribute to the development of new theoretical frameworks and experimental approaches in neuroscience. Such perspectives may also offer valuable references for future research on neural coding, brain function mechanisms, and neuromodulation technologies.

AIM To explore the clinical effects of Supplemented Baihe Gujin Decoction on elderly patients with postoperative pulmonary infection following non-small cell lung cancer surgery.METHODS Ninety-two patients were randomly assigned into control group(46 cases)for 1-week intervention of conventional treatment,and observation group(46 cases)for 1-week intervention of both Supplemented Baihe Gujin Decoction and conventional treatment.The changes in clinical effects,TCM syndrome scores,immune function indices(CD3+,CD4+,CD8+,CD4+/CD8+),inflammatory indices(CRP,PCT,TNF-α),serum indices(sTREM-1,CD40L,NLR)and incidence of adverse reactions were detected.RESULTS The observation group demonstrated higher total effective rate than the control group(P＜0.05).After the treatment,the two groups displayed decreased TCM syndrome scores,CD8+,inflammatory indices,serum indices(P＜0.05),and increased CD3+,CD4+,CD4+/CD8+(P＜0.05),especially for the observation group(except for CD4+,CD8+)(P＜0.05).CONCLUSION For the elderly patients with postoperative pulmonary infection following non-small cell lung cancer surgery,Supplemented Baihe Gujin Decoction can safely and effectively relieve clinical symptoms,enhance immune functions,reduce serum sTREM-1,CD40L levels and NLR,and control inflammatory responses.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

The intestine and liver are closely connected both physiologically and pathologically, forming a so-called gut-liver axis, with the gut microbiota serving as a pivotal link in their bidirectional communication. Gut microbiota dysbiosis and gut-liver axis disruption play a key role in the development and progression of colorectal cancer liver metastasis (CRLM), though the underlying mechanisms have not been clearly elucidated. Certain gut microbiota, such as Escherichia coli and Enterococcus spp., can breach the intestinal barrier and translocate to the liver, promoting the formation of pre-metastatic niche. Fusobacterium nucleatum and Enterococcus faecalis enhance tumor cell invasion/migration, while Parabacteroides spp. suppress anti-tumor immunity in the liver TME. Interventions like fecal microbiota transplantation, dietary modifications, and traditional Chinese medicine have shown potential in clinical and preclinical studies to improve patient outcomes by targeting the gut microbiota, but their long-term efficacy and safety require further investigation. Future research should focus on elucidating the effects of specific bacterial species, metabolites, viruses, and fungi on tumorigenesis. Exploring the potential of gut microbiota-based precision medicine and personalized therapies will improve risk stratification and enable more targeted interventions for CRLM patients.

The prevention and control of emerging and reemerging infectious diseases are crucial for national biosecurity, and surveillance and reporting of pneumonia of unknown etiology are main ways for the early detection of these diseases and mitigation of their severity. This paper summaries the surveillance methods for pneumonia of unknown etiology and emerging and reemerging infectious diseases globally, indicating that such surveillance is mainly conducted based on hospital. Western countries primarily combine active and passive surveillance while utilizing artificial intelligence technology to rapidly identify cases. China mainly use passive surveillance based on the surveillance system for pneumonia of unknown etiology, with the function of early warning in the identification of emerging infectious diseases, such as avian influenza. However, with the improvement in the surveillance system operation, the overlap with other surveillance disease systems, such as influenza, has occurred, and the improvements in case definition and operational protocol are needed. It is recommended to improve the specificity of the case definition, strenthen training in hospital staff, inclduing clinical workers and office workers, and formulate incentive mechanisms. It is necessary to emphasize the responsibility of clinicians as the main force for the detection and reporting of pneumonia of unknown etiology and emerging infectious diseases, improve the appilication of artifical intelligent technique and conduct multi-source surveillance, such as third-party testing.

Objective:To investigate the drug resistance of newly diagnosed HIV-1 infected patients in Shanghai and to provide reference value for clinical antiretroviral therapy (ART).Methods:The peripheral venous blood plasma of 196 newly diagnosed HIV-1 infected patients screened according to the inclusion and exclusion criteria at the Shanghai Public Health Clinical Center from April to June 2023 was collected, HIV-1 RNA was extracted, the pol region was amplified by reverse transcription-polymerase chain reaction (RT-PCR) for sequencing, the mutation sites and ART drug resistance were analyzed.Results:The plasma of 196 newly diagnosed HIV-1 infected patients was amplified successfully in 162 cases (amplification success rate was 82.65%). The subtypes consisted of CRF07_BC(51.23%), CRF01_AE (27.78%), and others (6.79%), CRF55_01B (5.56%), B (3.70%), CRF01_AE/B (3.70%) and CRF08_BC (1.23%). The overall transmitted drug resistance rate was 7.41%, the protease inhibitors (PIs), non-nucleoside/nucleotide reverse transcriptase inhibitors (NNRTIs), nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs), integrase inhibitors (INSTIs) resistance rates were 3.09%, 3.70%, 0.00% and 0.62%, respectively. The proportion of NNRTIs-related mutation sites in B (66.67%) and CRF55_01B (88.89%) was higher than that in CRF07_BC (13.25%); the proportion of NNRTIs-related mutation sites in CRF55_01B (88.89%) was higher than that in CRF01_AE (22.22%) and other subtypes (18.18%), the difference was statistically significant (all P<0.05). Multivariate logistic regression analysis showed that the probability of PIs-related mutation sites in CRF01_AE/B was 21.71 times that of CRF07_BC[odds ratio ( OR)=21.71, 95% confidence interval ( CI): 3.36-140.27, P=0.001]. Conclusions:The transmitted drug resistance among newly diagnosed HIV-1 infected patients in Shanghai is at the moderate epidemic level, mainly NNRTIs and PIs-related drug resistance, and the INSTIs resistance rate is low, the use of INSTIs in ART regimens should be considered.

Non-functioning pituitary adenomas(NFPAs)are relatively common.Apart from hyperprolactinemia caused by pituitary compression,they typically lack overt hormonal hypersecretion and usually present with clinical symptoms due to mass effects.Previously considered a uniform entity,NFPAs are actually a highly heterogeneous group of tumors,including aggressive subtypes like silent corticotroph adenomas(SCA)and null cell adenomas.The 2022 WHO new classification of pituitary tumors employs transcription factors[e.g.,pituitary-specific transcription factor 1(PIT-1),T-box transcription factor 19(TBX19,also known as TPIT),steroidogenic factor 1(SF-1)]for detailed categorization,allowing precise subclassification of NFPAs into multiple subtypes derived from distinct cell lineages,including silent gonadotroph adenomas,SCA,and plurihormonal PIT-1-positive adenomas.This helps identify highly invasive subtypes with high recurrence risk,guiding clinical diagnosis and treatment,prognostic assessment,and individualized management.The new classification also provides a theoretical basis for targeted therapies of NFPAs(e.g.,somatostatin analogs and temozolomide).This review comprehensively discusses the latest pathological classification of NFPAs and its clinical implications,aiming to enhance understanding of this disease and offer valuable insights for precise diagnosis,treatment,and prognostic assessment.

Objective To evaluate the value of tripartite motif-containing protein 21(TRIM21)mRNA expression in alveolar macrophages for the serverity and prognosis of patients with severe pneumonia complicated by acute respiratory distress syndrome(SP-ARDS).Methods A retrospective analysis was conducted on 42 SP-ARDS patients(SP-ARDS group)and 15 outpatient healthy controls(control group)admitted to the Department of Respiratory and Critical Care Medicine,Jinling Hospital Affilicated to Medical School of Nanjing University,from November 2023 to June 2024.Bronchoalveolar lavage fluid was collected,and alveolar macrophages were isolated.The expression levels of TRIM21 mRNA were quantified using qPCR.Differences in TRIM21 mRNA expression levels,clinical characteristics,and relevant laboratory test results were compared between the two groups.Correlations between TRIM21 mRNA expression and SP-ARDS severity,28-day mortality,inflammatory indicators,acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)scores,duration of mechanical ventilation,and ICU stay were analyzed using Pearson or Spearman correlation analysis.Logistic regression analysis was used to identify risk factors for 28-day mortality,and the predictive value of each factor was evaluated using receiver operating characteristic(ROC)curves.Results Compared with control group,the expression levels of TRIM21 mRNA,white blood cell counts,neutrophil-to-lymphocyte ratio(NLR),and C-reactive protein(CRP),and procalcitonin(PCT)levels increased(P<0.05),and hemoglobin levels decreased(P<0.05)in SP-ARDS group.No significant differences were observed in gender,age,smoking history,alcohol consumption,underlying disease history,and platelet count between the two groups(P>0.05).TRIM21 mRNA expression level in SP-ARDS patients was positively correlated with ARDS severity(P<0.05).Additionally,non-survivors within 28 days had a significantly higher expression level of TRIM21 mRNA compared to survivors(P<0.001).Correlation analysis indicated that the relative expression level of TRIM21 mRNA in SP-ARDS patients was positively correlated with CRP(r=0.309,P<0.05),NLR(r=0.422,P<0.01),PCT(r=0.561,P<0.001),APACHE Ⅱ score(r=0.615,P<0.001),and duration of mechanical ventilation(r=0.665,P<0.001).Logistic regression analysis revealed that elevated expression levels of TRIM21 mRNA(OR=2.886,P=0.043)and higher APACHE Ⅱ scores(OR=1.546,P=0.037)were independent risk factors for 28-day mortality in SP-ARDS patients.The areas under the ROC curves(AUCs)for predicting 28-day mortality using TRIM21 mRNA expression level and APACHE Ⅱ score were 0.889 and 0.874,respectively,with optimal cut-off values of 5.21 and 20.5 points,respectively.The combined AUC for prediction was 0.962.Conclusion Increased TRIM21 mRNA expression in alveolar macrophages of SP-ARDS patients is positively correlated with disease severity and may serve as a potential predictive marker for 28-day survival in SP-ARDS patients.

Objective To discuss the clinical value of flat head CT of two-way digital flat angiography system(DSA)in predicting symptomatic intracranial hemorrhage in patients with acute anterior circulation-large vessel occlusion cerebral infarction occurring within 24 hours after operation.Methods A total of 264 patients with acute anterior circulation-large vessel occlusion cerebral infarction,who were admitted to the Shanghai Changhai hospital to receive treatment from January 2020 to January 2023,were selected for this study.Mechanical thrombectomy was carried out in all the patients,and DSA flat head CT examination was performed 24 hours after operation.According to whether the postoperative DSA plate head CT scan showed high-density shadow or not,the patients were divided into observation group(showing high-density shadow,n=176)and control group(showing no high-density shadow,n=88).The clinical data,therapeutic regimen,and intracranial hemorrhage within 24 hours after operation were compared between the two groups.Taking head CT results as the standard,the clinical value of DSA flat head CT scan performed immediately after operation in predicting symptomatic intracranial hemorrhage occurring within 24 hours after operation was evaluated.Results Among the 264 patients with acute anterior circulation-large vessel occlusion cerebral infarction,118 patients developed intracranial hemorrhage within 24 hours after operation,including 24 patients(20.34％)having symptomatic intracranial hemorrhage.No statistically significant differences in clinical data and therapeutic regimen existed between the two groups(P＞0.05).The sensitivity,specificity and accuracy of DSA flat head CT scan performed immediately after operation in predicting intracranial hemorrhage occurring within 24 hours after operation in the observation group were 97.46％,58.22％and 75.76％respectively.The detection rate of symptomatic intracranial hemorrhage occurring within 24 hours after operation in the observation group was higher than that in the control group,the difference between the two groups were statistically significant(P＜0.05).The sensitivity,specificity and accuracy of DSA flat head CT scan performed immediately after operation in predicting symptomatic intracranial hemorrhage occurring within 24 hours after operation were 87.50％,57.48％and 40.15％respectively.The sensitivity,specificity and accuracy of DSA flat head CT scan in predicting the transformation of cerebral hemorrhage were 95.67％,63.12％and 80.23％respectively.Conclusion In patients with acute anterior circulation-large vessel occlusion cerebral infarction,who develop intracranial hemorrhage within 24 hours after mechanical thrombectomy,DSA flat head CT scan performed immediately after operation often shows high-density shadow,which is very helpful in predicting the risk of postoperative intracranial hemorrhage,the clinicians should make an early diagnosis and response to a possible symptomatic intracranial hemorrhage.