Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.

OBJECTIVE: To explore the accuracy of human-computer interaction software in identifying and locating type C1 distal radius fractures. METHODS: Based on relevant inclusion and exclusion criteria, 14 cases of type C1 distal radius fractures between September 2023 and March 2024 were retrospectively analyzed, comprising 3 males and 11 females(aged from 27 to 82 years). The data were assigned randomized identifiers. A senior orthopedic physician reviewed the films and measured the ulnar deviation angle, radial height, palmar inclination angle, intra-articular step, and intra-articular gap for each case on the hospital's imaging system. Based on the reduction standard for distal radius fractures, cases were divided into reduction group and non-reduction group. Then, the data were sequentially imported into a human-computer interaction intelligent software, where a junior orthopedic physician analyzed the same radiological parameters, categorized cases, and measured fracture details. The categorization results from the software were consistent with manual classifications (6 reduction cases and 8 non-reduction cases). For non-reduction cases, the software performed further analyses, including bone segmentation and fracture recognition, generating 8 diagnostic reports containing fracture recognition information. For the 6 reduction cases, the senior and junior orthopedic physicians independently analyzed the data on the hospital's imaging system and the AI software, respectively. Bone segments requiring reduction were identified, verified by two senior physicians, and measured for displacement and rotation along the X (inward and outward), Z (front and back), and Y (up and down) axes. The AI software generated comprehensive diagnostic reports for these cases, which included all measurements and fracture recognition details. RESULTS: Both the manual and AI software methods consistently categorized the 14 cases into 6 reduction and 8 non-reduction groups, with identical data distributions. A paired sample t-test revealed no statistically significant differences (P>0.05) between the manual and software-based measurements for ulnar deviation angle, radial ulnar bone height, palmar inclination angle, intra-articular step, and joint space. In fracture recognition, the AI software correctly identified 10 C-type fractures and 4 B-type fractures. For the 6 reduction cases, a total of 24 bone fragments were analyzed across both methods. After verification, it was found that the bone fragments identified by the two methods were consistent. A paired sample t-tests revealed that the identified bone fragments and measured displacement and rotation angles along the X, Y, and Z axes were consistent between the two methods. No statistically significant differences(P>0.05) were found between manual and software measurements for these parameters. CONCLUSION Human-computer interaction software employing AI technology demonstrated comparable accuracy to manual measurement in identifying and locating type C1 distal radius fractures on CT imaging.
Humans ; Male ; Female ; Radius Fractures/surgery* ; Middle Aged ; Adult ; Aged ; Aged, 80 and over ; Tomography, X-Ray Computed/methods* ; Retrospective Studies ; Software ; Wrist Fractures

Human NAD(P)H: quinone oxidoreductase 1 (NQO1) is a flavoenzyme expressed at high levels in multiple solid tumors, making it an attractive target for anticancer drugs. Bioactivatable drugs targeting NQO1, such as β-lapachone (β-lap), are currently in clinical trials for the treatment of cancer. β-Lap selectively kills NQO1-positive (NQO1⁺) cancer cells by inducing reactive oxygen species (ROS) via catalytic activation of NQO1. In this study, we demonstrated that cryptotanshinone (CTS), a naturally occurring compound, induces NQO1-dependent necrosis without affecting NQO1 activity. CTS selectively kills NQO1⁺ cancer cells by inducing NQO1-dependent necrosis. Interestingly, CTS directly binds to NQO1 but does not activate its catalytic activity. In addition, CTS enables activation of JNK1/2 and PARP, accumulation of iron and Ca²⁺, and depletion of ATP and NAD⁺. Furthermore, CTS selectively suppressed tumor growth in the NQO1⁺ xenograft models, which was reversed by NQO1 inhibitor and NQO1 shRNA. In conclusion, CTS induces NQO1-dependent necrosis via the JNK1/2/iron/PARP/NAD⁺/Ca²⁺ signaling pathway. This study demonstrates the non-enzymatic function of NQO1 in inducing cell death and provides new avenues for the design and development of NQO1-targeted anticancer drugs.

Objective To provide references for the registration and implementation of related clinical trials by analyzing the current status of clinical trial registration of TCM for the treatment of cervical spondylosis.Methods Relevant clinical trials of TCM for the treatment of cervical spondylosis were retrieved from China Clinical Trial Registry,International Clinical Trial Registry Platform and US Clinical Trials Registry database from the establishment to 1 July 2024.The relevant data were extracted and entered into Excel 2019,and GraphPad Prism 9.0 was used to statistically analyse the registration characteristics of clinical trials of TCM for the treatment of cervical spondylosis.Results A total of 126 clinical trials of TCM for the treatment of cervical spondylosis were included in this study,of which 112 were interventional studies.Domestic registrations covered a total of 19 provincial administrative regions,with the top two being Shanghai and Guangdong Province.The research on disease types included all subtypes of cervical spondylosis,with the largest number of registered items(37 items,29.37%)related to cervical spondylostic radiculopathy,followed by projects with unspecified cervical spondylosis subtypes(44 projects,34.92%).Research projects from universities and affiliated hospitals accounted for 89.7%(113 projects),with Guangdong Provincial Hospital of Traditional Chinese Medicine(12 projects)registering the most projects.Totally 110 research projects were funded,with local financial support accounting for 39.09%(43 projects)and national financial support accounting for 16.36%(18 projects).The study designs were mainly randomized parallel controlled studies(112 projects,88.9%),mostly single-centre research projects(92 projects,73.0%),with sample sizes concentrated between 50-200(86 projects,68.3%).The interventions were mostly external TCM treatments,such as acupuncture(41 items,32.5%)and tuina(23 items,18.3%).Conclusion The number of registered clinical trials of TCM for the treatment of cervical spondylosis has shown a fluctuating upward trend,but there are problems such as a small number,uneven geographical development,low methodological quality,mostly single-centre trials,and a lack of projects with Chinese materia medica intervention projects.

In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/administration & dosage* ; Machine Learning ; Algorithms ; Humans ; Quality Control

Objective: To investigate the value of metagene next⁃generation sequencing ( mNGS) in the detection of pathogens in patients with pulmonary infection. Methods: A retrospective analysis was performed on clinical data from 434 patients with pulmonary infections admitted over the past four years. Based on the presence of underlying comorbidities , patients were divided into underlying disease group (n = 262) and non⁃underlying disease group (n = 172) . Pathogen detection was conducted using both mNGS and conventional tests. Clinical and laboratory parameters , radiographic findings , and pathogen detection results were systematically analyzed. The diagnostic performance of the two methods in identifying causative pathogens of pulmonary infections was compared. Results: The positive rate of mNGS in 434 patients was higher than that of conventional tests , and the difference was statisti⁃cally significant (P < 0. 05) . The efficacy of mNGS in detecting bacteria and viruses was significantly higher than that of conventional tests , and the difference was statistically significant (P < 0. 05) . Although the fungal detection rate of mNGS was higher than that of conventional tests , the difference was not statistically significant. Among them , the detection rates of Mycobacterium tuberculosis , Mycoplasma pneumoniae , Haemophilus influenzae , Strepto⁃ coccus pneumoniae , Streptococcus constellation , Staphylococcus aureus and Aspergillus fumigatus were significantly higher than those of conventional tests , and the difference was statistically significant (P < 0. 05) . Subgroup analy- sis showed that the proportion of males , hospital stay , smoking prevalence and average age in the underlying dis- ease group were higher than those in the non-underlying disease group , and the difference was statistically signifi- cant (P < 0. 05) , while there were no significant differences in antibiotic use and endotracheal intubation rate be- tween the two groups. The most common pathogens detected by mNGS in the underlying disease group were Myco⁃ bacterium tuberculosis , Haemophilus influenzae , Streptococcus pneumoniae , Pseudomonas aeruginosa , human herpes⁃ virus type 4 and Aspergillus fumigatus , while the most common pathogens in the non-underlying disease group were Mycobacterium tuberculosis , Haemophilus influenzae , Streptococcus pneumoniae , Mycoplasma pneumoniae and Kleb⁃ siella pneumoniae. The positive rate of mNGS in the two groups was significantly higher than that of conventional tests , and the difference was statistically significant (P < 0. 05) , while the difference in the positive rate of mNGS between the two groups was not statistically significant. Conclusion mNGS has significant advantages over con- ventional tests of pathogen in lung infection , and is less affected by underlying diseases , which can provide an etio- logical basis for lung infection.

A matrix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS)method was developed for simultaneous analysis of 10 kinds of aphrodisiac drugs,including sildenafil,acetildenafil,nor-acetildenafil,homosildenafil,lodenafil carbonate,sildlenafil dimer impurity,vardenafil dimer,hydroxyacetildenafil,N-desmethylsildenafil and udenafil.By using different matrices(α-cyano-4-hydroxycinnamic acid(HCCA)and sinapic acid(SA)),the effects of solvents,amount of matrices,laser intensity and spotting methods on the peak strength and signal intensity of MALDI-TOF MS for the aphrodisiac drugs were investigated.As a result,SA was chosen as the matrix,and then dispersed in methanol-water(50∶50,V/V),and spotted by matrix firstly and sample secondly approach with the reflect linear positive mode and laser power of 60%.Under optimal conditions,the proposed MALDI-TOF MS method could obtain stable signal,high intensity and well-repeated mass spectrometric results.The results of method validation showed a linear range from 10 to 100 ng/mL,and the regression coefficients(r)were all above 0.985.The limits of detection(LOD)were 0.1-1.0 ng/mL,and the recoveries were in the range of 72.9%-109.9%for health wine,soft capsule and instant coffee samples,while the relative standard deviations(RSDs)ranged from 0.7%to 11.3%(n=3).The test results of 10 kinds of aphrodisiac drugs by MALDI-TOF MS were in accordance with the results of high-performance liquid chromatography-tandem mass spectrometry.This method exhibited high sensitivity,high accuracy,good anti-interference ability,low chemical solvents consumption and environmentally friendliness,and could be used to detect drugs without standards.The developed MALDI-TOF MS method could realize the non-target screening and detection of 10 kinds of illegally added aphrodisiac drugs in foods.

As a cheap and effective antibiotic,sulfonamides are often used in animal husbandry.However,their residues in animal-derived foodstuffs will threaten human health.Consequently,a high-performance liquid chromatography(HPLC)method integrated with supramolecular solvent microextraction was successfully established for simultaneous quantification of sulfonamide residues sulfachlorpyridazine,sulfamethoxazole,sulfamethoxypyridazine and sulfadimethoxine in milk matrices.This approach exhibited prominent characteristics of operational simplicity,environmental sustainability,and high extraction efficiency.The supramolecular solvents prepared by tributyl octylphosphine tetrafluoroborate and tetrahydrofuran were employed as extraction solvents.The analytes underwent isolation and concentration via dispersive liquid-liquid microextraction(DLLME)prior to quantitative determination using high-performance liquid chromatography(HPLC).The composition and microscopic morphology of the supramolecular solvent were characterized through a series of analytical techniques,including phase diagram,Fourier transform infrared spectroscopy,scanning electron microscopy,and inverted fluorescence microscopy and so on.The density and pH value of supramolecular solvents were determined.The extraction conditions were optimized through the one-factor experiments.The experimental results demonstrated that under the optimal extraction conditions,the four kinds of sulfonamide antibiotics exhibited excellent linearity within respective detection range(R2 ≥ 0.9998)and the limits of detection(LOD)were 0.67-1.45 μg/L.Compared with literature methods,this approach offered some advantages such as simplicity of operation and less reagent consumption,and could be used for analysis and detection of sulfonamide antibiotic residues in milk samples.The present method provided technical support for food safety regulation and paved a new way for the application of supramolecular solvents in the field of extraction and separation.

Aerosol-assisted plasma amplification laser-induced breakdown spectroscopy(LIBS)was employed for phosphorus detection in water.To address the multivariate coupling effects in LIBS and nebulization sampling system,an orthogonal experiment was employed to systematically optimize the key experimental parameters.Using the orthogonal experimental design,the parametric effects of laser energy(output voltage),signal acquisition delay,liquid velocity,and gas velocity on the signal to background ratio(SBR)of P I 213.618 nm were evaluated,and the optimal conditions were achieved,including laser energy of 86 mJ,delay time of 3 μs,gas velocity of 1.05 mL/min,and liquid velocity of 60 μL/min,which were in agreement with the control-variable optimization results.Moreover,the SBR response trends at P I 213.618 nm with all experimental parameters was strong in consistency with control-variable optimization results,which demonstrated the validity of the orthogonal array experimental design.This study established an efficient and accurate parameter optimization methodology for complex LIBS systems,significantly advancing the application of LIBS in environmental monitoring.

Objective To explore the role of miR-429 in synovial mesenchymal stem cell-derived exosomes(SMSC-Exos)in repairing cartilage damage in temporomandibular joint osteoarthritis(TMJ OA)by extracting SMSC-Exos from human synovial tissue and screening differentially expressed microRNA(miRNA)through transcriptome sequencing.Methods Human synovial tissues were obtained from 6 patients who underwent surgery at the First Medical Center of the Chinese PLA General Hospital from June to December 2023,including 3 patients with osteoarthritis(OA group)and 3 control patients(control group),all of whom were male.SMSC-Exos were extracted from the synovial tissues for miRNA sequencing and differential expression analysis.Further,Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were performed on the target genes of differentially expressed miRNA to identify key functional miRNA and construct miRNA-target gene regulatory networks and protein-protein interaction(PPI)networks of target genes.An in vitro model of rabbit condylar cartilage cell inflammatory microenvironment induced by interleukin-1β(IL-1β)was established,with the control group cultured in DMEM/F12 basic medium and the inflammation-induced group cultured in DMEM/F12 basic medium containing 10 ng/ml IL-1β.RT-qPCR was used to detect the effects of overexpressed target miRNA on the mRNA expression levels of cartilage phenotype factors such as type Ⅱ collagen α1 chain(Col2a1),aggrecan(Acan),as well as inflammatory factors including a disintegrin and metalloproteinase with thrombospondin motifs 5(Adamts5)and cyclooxygenase-2(Cox-2).Results(1)SMSC-Exos were successfully isolated,cultured,and identified.(2)miRNA sequencing of SMSC-Exos from OA and control groups revealed 16 differentially expressed miRNAs(|log2FC|>2,P<0.05).Compared with control group,7 miRNAs were up-regulated and 9 were down-regulated in OA group.GO and KEGG analysis indicated that the target genes of miR-429 were mainly involved in development process,anatomical structure development,system development,cell development and differentiation,and were enriched in inflammation-related pathways such as mitogen-activated protein kinase(MAPK)and phosphatidylinositol 3-kinase-protein kinase B(PI3K-Akt).(3)Functional validation of miR-429 in the rabbit condylar cartilage cell inflammatory model showed that overexpression of miR-429 increased the mRNA expression levels of Col2a1 and Acan(P<0.05)and decreased the mRNA expression levels of Adamts5 and Cox-2(P<0.05)in the inflammation-induced group.Conclusions miRNA sequencing of SMSC-Exos isolated and identified from human synovial tissues reveals a specific miRNA expression profile in OA patients,with miR-429 significantly down-regulated.Functional validation demonstrates that overexpression of miR-429 has reparative and anti-inflammatory effects on condylar cartilage cells in an inflammatory microenvironment.