Objective: To systematically analyze the current status and influencing factors of platelet supply in medical institutions across China, and to explore the problems and future development directions of the existing supply models. Methods: From February 25 to March 5, 2025, a web-based questionnaire survey was performed. A self-designed questionnaire was distributed to staff in the blood transfusion departments of medical institutions nationwide in China. Data on the current status and influencing factors of platelet supply were collected and analyzed. Results: A total of 2 268 responses were collected in this survey, with 1 366 valid questionnaires finally included, covering 33 provinces, autonomous regions, and municipalities directly under the central government across China. The survey revealed that platelet supply in Chinese medical institutions exhibited a pattern of "sufficient in the eastern region, stable in the central region, and scarce in the western region": adequate in East China; generally favorable in South China except Guangxi; centered on Beijing and Tianjin in North China; basically met but with insufficient reserves in Central China; subject to seasonal fluctuations in Northeast China; only meeting the baseline supply in Yunnan, Guizhou, and Sichuan in Southwest China; and notably short in Qinghai, Ningxia, and Xinjiang in Northwest China. Family donor mobilization was required in 81.2% (1 109/1 366) of institutions, whereas this proportion was only 12.7% (173/1 366) among institutions with sufficient supply. Tertiary hospitals constituted the main users, among which tertiary Class A hospitals had the highest sufficiency rate, and secondary Class B hospitals showed the most pronounced shortage. A total of 84% (1 147/1 366) of institutions lacked a professional management team; only 19% (266/1 366) had an inventory warning system, of which 88% (234/266) considered it effective. Platelet reservation required 3 days in 33% (458/1 366) of institutions. The mandatory transfusion rate was 30.55% (29/118) when the reservation lead time exceeded 3 days, representing an increase of 5.98% compared with 24.57% (55/180) in the same-day reservation group. For optimization, most institutions called for improved blood donation services, strengthened education and incentives, establishment of regional coordination and policy collaboration, and supplementary suggestions focused on technologies for extending platelet shelf life. Conclusion: Regional imbalance in platelet supply across China is prominent, with supply shortages in some provinces, reliance on family donor mobilization in most institutions, weak grassroots support capacity, imperfect management systems, and supply timeliness constraining clinical practice. Systematic improvements are needed in optimizing blood donation services, strengthening regional coordination, improving relevant policies, and developing platelet preservation technologies, so as to enhance the level of supply security and patient safety.

Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

ObjectiveTo observe the clinical efficacy and safety of Huatan Quyu formula in treating cerebral small vessel disease （CSVD） with phlegm and blood stasis blocking collateral pattern via randomized controlled trial， and explore its mechanism of improving CSVD by regulating glymphatic system （GS） circulation. MethodsSixty-eight CSVD patients with phlegm and blood stasis blocking collateral pattern in the Department of Encephalopathy， Affiliated Hospital of Shaanxi University of Chinese Medicine from April to December 2024 were selected and randomly divided into an experimental group （34 cases） and a control group， with 34 cases in each group. Both groups received basic Western medicine treatment， while the experimental group additionally received Huatan Quyu formula. After a course of 12 weeks， the following parameters were compared between the two groups before and after treatment. Clinical outcomes were assessed using the Tinetti performance-oriented mobility assessment （POMA）， Montreal Cognitive Assessment （MoCA）， Scales for Outcomes in Parkinson's Disease-Autonomic （SCOPA-AUT）， and traditional Chinese medicine （TCM） syndrome scores of phlegm and blood stasis blocking collateral pattern. Perivascular space （PVS） in the frontal lobe/basal ganglia and cerebrospinal fluid （CSF） flow parameters in the cerebral aqueduct were evaluated by 3.0T brain MRI， cerebrospinal fluid flow imaging， and phase-contrast magnetic resonance imaging （PC-MRI）. Then， safety indicators were monitored， and SPSS 25.0 was used for statistical analysis. ResultsSixty-four patients completed the study （32 in each group）. ①Baseline data： No statistically significant difference was found between the two group. ②Efficacy indicators： After treatment， the experimental group exhibited significantly improved total POMA， SCOPA-AUT， and TCM syndrome scores （P<0.01）， outperforming the control group （P<0.05）. No significant change was observed in MoCA scores between the two groups. ③Imaging indicators： The experimental group showed a reduced PVS area alongside significantly increased CSF flow parameters （including downward flow during the systolic period， and upward flow during the diastolic period） （P<0.01）， which were superior to the control group （P<0.01）. ④Safety： The laboratory indicators were normal in both groups， with no drug-related adverse reactions. ConclusionFor CSVD patients with phlegm and blood stasis blocking collateral pattern， Huatan Quyu formula can safely and effectively improve motor function， autonomic nerve function， and TCM syndromes， with potential mechanisms related to pulsatile CSF flow enhancement and GS circulation efficiency improvement.

The Ebola virus (EBOV), a member of the Filoviridae family, is a highly pathogenic agent responsible for severe hemorrhagic fever in humans. Understanding the molecular mechanisms governing its replication is critical for developing effective antiviral strategies. VP35-TurboID immunosuppression coupled with quantitative mass spectrometry identified Septin9, the host GTP-binding protein which played a role in cytoskeletal regulation, as a novel interactor of VP35. Western blotting and Far-Western blotting confirmed the direct interaction and demonstrated that the C-terminal region of VP35 was the critical binding domain. Functionally, EBOV replication as well as the formation of viral inclusion bodies (VIBs) was demonstrated to be significantly suppressed by Septin9 knockdown and depletion, as shown by the EBOV minigenome (EBOV MG) and the transcription- and replication-competent virus-like particles (trVLPs) system. This study reveals that VP35 engages in a specific interaction with the GTP-binding protein Septin9, thereby impeding EBOV replication through the disruption of inclusion bodies. The overarching objective of this study is to significantly enhance our understanding about the pathogenic mechanism of EBOV and offer a robust theoretical foundation and solid empirical support for the formulation of innovative therapeutic strategies against EBOV.
Virus Replication/physiology* ; Septins/physiology* ; Humans ; Ebolavirus/physiology* ; Inclusion Bodies, Viral/metabolism* ; Viral Regulatory and Accessory Proteins/metabolism* ; Hemorrhagic Fever, Ebola/virology*

Purpose To explore the forensic pathological features of deaths caused by craniocerebral injury in traf-fic accidents,in order to provide forensic practitioners with a more rigorous approach to identification.Methods A retrospective analysis was performed on 225 autopsy reports of traffic accident fatalities resulting from craniocerebral in-jury.The causes of death were classified,tabulated,and analyzed.Results Among the 225 autopsy reports,the main causes of death included primary brain injury,secondary brainstem injury,and complications.The main types of injuries craniocerebral injuries observed were skull fractures,cerebral hemorrhage,cerebral contusion,cerebral edema and so on.Conclusion The occurrence of craniocerebral injury is related to factors such as age,vehicle,collision speed,and road conditions,and there is an inherent regularity to these factors.Forensic practitioners should combine comprehesive and systematic pathological examinations,clinical data,and the inherent regularities of related factors to make objective,comprehensive,and accurate determinations of the cause of death in traffic accident-related craniocere-bral injuries.

Objective:To develop the Motivation for Bedtime Procrastination Questionnaire for College Students(CS-MBPQ)and evaluate its validity and reliability.Methods:Based on literature analysis,interviews with severe bedtime procrastinators,and open-ended surveys with college students,the initial questionnaire was formed.A total of 389 college students were recruited to conduct item analysis and exploratory factor analysis.Additionally,691 college students were selected for confirmatory factor analysis,criterion validity testing,and internal consistency reliability analysis,and 132 of them were retested two weeks later.The subscale of behav-ioral intention from the Theory of Planned Behavior Questionnaire(TPBQ),Bedtime Procrastination Scale(BPS),and a self-made question for the frequency of bedtime procrastination were used as criterion tools.Results:The CS-MBPQ consists of 10 items,encompassing three factors:emotional need,external influence,and behavioral attitude,explaining 63.31％of the variance.Confirmatory factor analysis indicated that the three-factor structure model of CS-MBPQ fitted well(x2/df=4.90,RMSEA=0.07,CFI=0.96,TLI=0.94).The CS-MBPQ total scores and scores for each factor were positively associated with the score of intentions to sleep on time,BPS scores,and bed-time procrastination frequency(ICC=0.14-0.53,Ps＜0.05).The internal consistency reliabilities for CS-MBPQ and the three factors were 0.87,0.89,0.74,and 0.66,respectively,and the test-retest reliabilities(ICC)were 0.74,0.66,0.69,and 0.58,respectively.Conclusion:The Motivation for Bedtime Procrastination Questionnaire for College Students(CS-MBPQ)demonstrates good validity and reliability,which could be used as a tool to evaluate motivations for bedtime procrastination among Chinese college students.

Objective:To explore the impact of adverse childhood experiences on psychosomatic symptoms and job burnout in the nursing population.Methods:Utilizing a multistage stratified cluster random sampling meth-od,1 661 nurses were selected.Through a 1∶2 propensity score matching approach,demographic and work-related characteristics were balanced between the positive and negative groups of adverse childhood experiences.Finally,880 cases were successfully matched(positive group:300 cases,negative group:580 cases).Linear regression was employed to explore the relationship between nurses'adverse childhood experiences and psychosomatic symptoms(anxiety,depression,physical symptoms),as well as job burnout.The average treatment effect among the treated(ATT)was calculated.Results:Linear regression results revealed a significant positive association between adverse childhood experiences and scores for anxiety symptoms,depression symptoms,physical symptoms,and job burnout(B=1.68,2.67,2.89,5.90;ATT=1.64,2.58,2.82,5.96,Ps＜0.001).However,there was no statistically signif-icant association with scores for a sense of inadequacy in individual achievements(P＞0.05).Conclusion:Nurses who have experienced childhood adverse experiences may exhibit more severe psychosomatic symptoms and job burnout compared to those who have not experienced such adversities during childhood.

OBJECTIVE: To assess the cardioprotective effect and impact of Qishen Granules (QSG) on different ischemic areas of the myocardium in heart failure (HF) rats by evaluating its metabolic pattern, substrate utilization, and mechanistic modulation. METHODS: In vivo, echocardiography and histology were used to assess rat cardiac function; positron emission tomography was performed to assess the abundance of glucose metabolism in the ischemic border and remote areas of the heart; fatty acid metabolism and ATP production levels were assessed by hematologic and biochemical analyses. The above experiments evaluated the cardioprotective effect of QSG on left anterior descending ligation-induced HF in rats and the mode of energy metabolism modulation. In vitro, a hypoxia-induced H9C2 model was established, mitochondrial damage was evaluated by flow cytometry, and nuclear translocation of hypoxia-inducible factor-1 α (HIF-1 α) was observed by immunofluorescence to assess the mechanism of energy metabolism regulation by QSG in hypoxic and normoxia conditions. RESULTS: QSG regulated the pattern of glucose and fatty acid metabolism in the border and remote areas of the heart via the HIF-1 α pathway, and improved cardiac function in HF rats. Specifically, QSG promoted HIF-1 α expression and entry into the nucleus at high levels of hypoxia (P<0.05), thereby promoting increased compensatory glucose metabolism; while reducing nuclear accumulation of HIF-1 α at relatively low levels of hypoxia (P<0.05), promoting the increased lipid metabolism. CONCLUSIONS QSG regulates the protein stability of HIF-1 α, thereby coordinating energy supply balance between the ischemic border and remote areas of the myocardium. This alleviates the energy metabolism disorder caused by ischemic injury.
Animals ; Myocardial Infarction/physiopathology* ; Male ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Rats, Sprague-Dawley ; Glucose/metabolism* ; Drugs, Chinese Herbal/therapeutic use* ; Energy Metabolism/drug effects* ; Rats ; Fatty Acids/metabolism* ; Myocardium/pathology*

General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals ; Machine Learning ; Electroencephalography/methods* ; Ketamine/administration & dosage* ; Rats ; Male ; Propofol/administration & dosage* ; Rats, Sprague-Dawley ; Anesthesia, General/methods* ; Brain/physiology* ; Intraoperative Neurophysiological Monitoring/methods*

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence