Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.

Objective To compare the diagnostic performance of a multi-marker panel(copeptin,cardiac troponin T[cTnT],and heart-type fatty acid-binding protein[HFABP])with the single marker cTnT in the diagnosis of type 4a acute myocardial infarction(AMI),and explore the application value of combined detectionmodel with the multiple markers.Methods The enrolled non-AMI pa-tients underwent elective percutaneous coronary intervention(PCI)at Nanjing Medical University First Affiliated Hospital during the period from March to December 2022 and were assessed as postoperative elevation of cTnT above the 99th percentile upper reference limit(URL).According to the Fourth Universal Definition of Myocardial Infarction,the patients were divided into non-type 4a AMI group and type 4a AMI group based on whether type 4a AMI occurred after surgery.The concentrations of AMI biomarkers were meas-ured using a chemiluminescent immuno-gold nanoassembly immunosensor array(chemiluminescent immuno-Gold,ciGold).Receiver operating characteristic(ROC)curves were used to analyze the performance of the diagnostic models with single and combined cardiac biomarkers.The sensitivity and specificity were also obtained from the ROC curves,and the area under the ROC curve(AUCROC)was calculated to evaluate respective diagnostic value.Kappa analysis was used to assess the consistency between the results combined de-tection model of multiple biomarkers and the diagnosis based on the Fourth Universal Definition of Myocardial Infarction.Results In this study,a total of 65 patients were included in whom females accounted for 23.1％.The ROC curve indicated that the combined de-tection model of multiple cardiac biomarkers showed specificity of 96.5％,sensitivity of 92.3％,agreement rate of 94.6％,positive pre-dictive value of 92.3％,negative predictive value of 96.2％,and AUCROC of 0.979.The single cTnT diagnostic model showed specificity of 94.2％,sensitivity of 100％,agreement rate of 95.7％,positive predictive value of 100％,negative predictive value of 94.9％,and AUCROC of 0.987.Although the combined detection model of multiple biomarkers had lower sensitivity(P=0.011),it showed higher specificity(P=0.016).The analysis of AUCROC differences between the two diagnostic models showed P＞0.05,indicating no signifi-cantly statistical difference for the diagnostic accuracy.Kappa analysis demonstrated a strong consistency between the combined detec-tion model of multiple cardiac biomarkers and the diagnosis of type 4a AMI based on the Fourth Universal Definition of Myocardial In-farction with a Cohen's Kappa coefficient of 0.818.Conclusion The multi-marker combined detection model showed similar perform-ance of cTnT in diagnos of type 4a AMI with strong diagnostic consistency.However,the combined detection model exhibited an advan-tage of higher specificity.

Objective:To explore the clinical effects of a 3D-printed intracranial pressure balancing device in preventing complications after suboccipital craniectomy (DC).Methods:This study is a retrospective cohort analysis. The clinical data of 35 patients who underwent DC at Department of Neurosurgery, Beijing Chaoyang Hospital, Capital Medical University, from September 2020 to September 2023 were reviewed. The cohort included 24 males and 11 females, with an age of (48.7±14.9) years (range:17 to 74 years). Nineteen patients (experimental group) received the intracranial pressure balancing device fixed to the bone defect site post-DC. This device was made using medical-grade dicyanamide resin and was three dimensional printed based on postoperative CT scans of the patients. The remaining 16 patients (control group) did not receive the intracranial pressure balancing device, while other treatments and procedures were consistent with the experimental group. Data were compared using the χ2 test or Fisher′s exact probability method. Results:Out of the 35 patients, 30 cases (85.7%) experienced complications following DC. Specific complications included cerebral infarction in 3 cases (8.6%), intracerebral hemorrhage in 1 case (2.9%), subdural effusion in 27 cases (77.1%) with a median onset of (8.8±6.5) days (range: 1 to 23 days), brain tissue protrusion in 15 cases (42.9%) with a median onset of ( M(IQR)) 7.0 (21.0) days (range:2 to 106 days), and hydrocephalus in 6 cases (17.14%) with a median onset of 34.5 (111.0) days (range: 22 to 136 days). There were no significant differences in the occurrence of complications(all P>0.05). However, there was a significant reduction in the incidence of subdural effusion in the experimental group prior to cranioplasty ( P=0.013). No significant differences were noted in mRS scores between the two groups after cranioplasty ( P>0.05). Conclusions:The intracranial pressure balancing device has the effect of prevention and treatment of subdural effusion. However, it did not significantly improve patient prognosis post-DC, warranting further investigation.

Objective:To explore the clinical effects of a 3D-printed intracranial pressure balancing device in preventing complications after suboccipital craniectomy (DC).Methods:This study is a retrospective cohort analysis. The clinical data of 35 patients who underwent DC at Department of Neurosurgery, Beijing Chaoyang Hospital, Capital Medical University, from September 2020 to September 2023 were reviewed. The cohort included 24 males and 11 females, with an age of (48.7±14.9) years (range:17 to 74 years). Nineteen patients (experimental group) received the intracranial pressure balancing device fixed to the bone defect site post-DC. This device was made using medical-grade dicyanamide resin and was three dimensional printed based on postoperative CT scans of the patients. The remaining 16 patients (control group) did not receive the intracranial pressure balancing device, while other treatments and procedures were consistent with the experimental group. Data were compared using the χ2 test or Fisher′s exact probability method. Results:Out of the 35 patients, 30 cases (85.7%) experienced complications following DC. Specific complications included cerebral infarction in 3 cases (8.6%), intracerebral hemorrhage in 1 case (2.9%), subdural effusion in 27 cases (77.1%) with a median onset of (8.8±6.5) days (range: 1 to 23 days), brain tissue protrusion in 15 cases (42.9%) with a median onset of ( M(IQR)) 7.0 (21.0) days (range:2 to 106 days), and hydrocephalus in 6 cases (17.14%) with a median onset of 34.5 (111.0) days (range: 22 to 136 days). There were no significant differences in the occurrence of complications(all P>0.05). However, there was a significant reduction in the incidence of subdural effusion in the experimental group prior to cranioplasty ( P=0.013). No significant differences were noted in mRS scores between the two groups after cranioplasty ( P>0.05). Conclusions:The intracranial pressure balancing device has the effect of prevention and treatment of subdural effusion. However, it did not significantly improve patient prognosis post-DC, warranting further investigation.

Background: Pyroptosis is involved in the occurrence of acute pancreatitis, but its role in remote organ injury remains unclear. Aims: To investigate the role and mechanism of NLRP3 inflammasome-dependent pyroptosis in acute pancreatitis- related lung injury. Methods: Thirty-two male Sprague-Dawley rats were randomly divided into four groups: control group, severe acute pancreatitis (SAP) group, Z-WEHD-FMK (caspase-1 inhibitor) group and disulfiram (GSDMD inhibitor) group. Experimental SAP was constructed by using 5% sodium taurocholate in the latter 3 groups. Serum levels of amylase, lipase, procalcitonin, and the myeloperoxidase (MPO) activity were determined; the severity of pancreatic and lung injuries was assessed by histopathology and lung wet/dry weight ratio; serum levels of pyroptosis-related inflammatory cytokines and the expressions of proteins involved in pyroptosis pathway in lung tissue were measured by ELISA method and immunohisto- chemistry and Western blotting, respectively. Results: Compared with the control group, the serum biochemical indices, MPO activity, and interleukin (IL)-1β, IL-18 levels in SAP group were significantly increased with aggravated pancreatic and lung tissue injuries; meanwhile, the expressions of NLRP3, caspase-1 and GSDMD in lung tissue were significantly up- regulated (all P<0.05). Pretreatment with caspase-1 or GSDMD inhibitors reduced the severity of pancreatic and lung tissue injuries, improved the serum biochemical indices and MPO activity, and ameliorated the increased pyroptosis - related inflammatory cytokines and pyroptosis pathway - related proteins (all P<0.05). Conclusions: NLRP3/caspase - 1/GSDMD pathway mediated pyroptosis plays an important role in acute pancreatitis-related lung injury, and inhibition of pyroptosis pathways might be a new direction for its treatment.

During coronavirus disease 2019 epidemic, the treatment of severe trauma has been impacted. The Consensus on emergency surgery and infection prevention and control for severe trauma patients with 2019 novel corona virus pneumonia was published online on February 12, 2020, providing a strong guidance for the emergency treatment of severe trauma and the self-protection of medical staffs in the early stage of the epidemic. With the Joint Prevention and Control Mechanism of the State Council renaming "novel coronavirus pneumonia" to "novel coronavirus infection" and the infection being managed with measures against class B infectious diseases since January 8, 2023, the consensus published in 2020 is no longer applicable to the emergency treatment of severe trauma in the new stage of epidemic prevention and control. In this context, led by the Chinese Traumatology Association, Chinese Trauma Surgeon Association, Trauma Medicine Branch of Chinese International Exchange and Promotive Association for Medical and Health Care, and Editorial Board of Chinese Journal of Traumatology, the Chinese expert consensus on emergency surgery for severe trauma and infection prevention during coronavirus disease 2019 epidemic ( version 2023) is formulated to ensure the effectiveness and safety in the treatment of severe trauma in the new stage. Based on the policy of the Joint Prevention and Control Mechanism of the State Council and by using evidence-based medical evidence as well as Delphi expert consultation and voting, 16 recommendations are put forward from the four aspects of the related definitions, infection prevention, preoperative assessment and preparation, emergency operation and postoperative management, hoping to provide a reference for severe trauma care in the new stage of the epidemic prevention and control.

The many-banded krait, Bungarus multicinctus, has been recorded as the animal resource of JinQianBaiHuaShe in the Chinese Pharmacopoeia. Characterization of its venoms classified chief phyla of modern animal neurotoxins. However, the evolutionary origin and diversification of its neurotoxins as well as biosynthesis of its active compounds remain largely unknown due to the lack of its high-quality genome. Here, we present the 1.58 Gbp genome of B. multicinctus assembled into 18 chromosomes with contig/scaffold N50 of 7.53 Mbp/149.8 Mbp. Major bungarotoxin-coding genes were clustered within genome by family and found to be associated with ancient local duplications. The truncation of glycosylphosphatidylinositol anchor in the 3'-terminal of a LY6E paralog released modern three-finger toxins (3FTxs) from membrane tethering before the Colubroidea divergence. Subsequent expansion and mutations diversified and recruited these 3FTxs. After the cobra/krait divergence, the modern unit-B of β-bungarotoxin emerged with an extra cysteine residue. A subsequent point substitution in unit-A enabled the β-bungarotoxin covalent linkage. The B. multicinctus gene expression, chromatin topological organization, and histone modification characteristics were featured by transcriptome, proteome, chromatin conformation capture sequencing, and ChIP-seq. The results highlighted that venom production was under a sophisticated regulation. Our findings provide new insights into snake neurotoxin research, meanwhile will facilitate antivenom development, toxin-driven drug discovery and the quality control of JinQianBaiHuaShe.

Objective:To investigate the value of a preoperatively MRI-based deep learning (DL) radiomics machine learning model to distinguish low-grade and high-grade soft tissue sarcomas (STS).Methods:From November 2007 to May 2019, 151 patients with STS confirmed by pathology in the Affiliated Hospital of Qingdao University were enrolled as training sets, and 131 patients in the Affiliated Hospital of Shandong First Medical University and the Third Hospital of Hebei Medical University were enrolled as external validation sets. According to the French Federation Nationale des Centres de Lutte Contre le Cancer classification (FNCLCC) system, 161 patients with FNCLCC grades Ⅰ and Ⅱ were defined as low-grade and 121 patients with grade Ⅲ were defined as high-grade. The hand-crafted radiomic (HCR) and DL radiomic features of the lesions were extracted respectively. Based on HCR features, DL features, and HCR-DL combined features, respectively, three machine-learning models were established by decision tree, logistic regression, and support vector machine (SVM) classifiers. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each machine learning model and choose the best one. The univariate and multivariate logistic regression were used to establish a clinical-imaging factors model based on demographics and MRI findings. The nomogram was established by combining the optimal radiomics model and the clinical-imaging model. The AUC was used to evaluate the performance of each model and the DeLong test was used for comparison of AUC between every two models. The Kaplan-Meier survival curve and log-rank test were used to evaluate the performance of the optimal machine learning model in the risk stratification of progression free survival (PFS) in STS patients.Results:The SVM radiomics model based on HCR-DL combined features had the optimal predicting power with AUC values of 0.931(95%CI 0.889-0.973) in the training set and 0.951 (95%CI 0.904-0.997) in the validation set. The AUC values of the clinical-imaging model were 0.795 (95%CI 0.724-0.867) and 0.615 (95%CI 0.510-0.720), and of the nomogram was 0.875 (95%CI 0.818-0.932) and 0.786 (95%CI 0.701-0.872) in the training and validation sets, respectively. In validation set, the performance of SVM radiomics model was better than those of the nomogram and clinical-imaging models ( Z=3.16, 6.07; P=0.002,<0.001). Using the optimal radiomics model, there was statistically significant in PFS between the high and low risk groups of STS patients (training sets: χ2=43.50, P<0.001; validation sets: χ2=70.50, P<0.001). Conclusion:Preoperative MRI-based DL radiomics machine learning model has accurate prediction performance in differentiating the histopathological grading of STS. The SVM radiomics model based on HCR-DL combined features has the optimal predicting power and was expected to undergo risk stratification of prognosis in STS patients.

BACKGROUND: Patches, powders and hydrogels fabricated from extracellular matrix and its components can be used as scaffolds, along with a variety of stem cells and their derivatives, to construct biomimetic engineered cardiac tissue. OBJECTIVE: To review research progress in construction of biomimetic engineered cardiac tissue based on extracellular matrix. METHODS: We searched the articles in Web of Science Core Collection and PubMed databases with the key words of “the extracellular matrix; engineered cardiac tissue; cardiomyocyte; biomimetic; stem cell” in English. Eventually 64 articles were included for review. RESULTS AND CONCLUSION: Compared with the traditional synthetic materials, the extracellular matrix has good biocompatibility and cell affinity, which can provide seed cells with the closest living environment, and is conducive to the growth, differentiation and maturation of seed cells. A great number of research evidences suggest that the biomimetic engineered cardiac tissue based on extracellular matrix and stem cells has the characteristics of excitability, contractility and conductivity similar to the natural myocardial tissue. It also can repair the damaged myocardium, reshape the microvascular system and effectively improve cardiac function, showing the potential to treat cardiovascular diseases such as myocardial infarction. However, there are still some problems in the construction of biomimetic engineered cardiac tissue based on extracellular matrix, such as the structural damage during decellularization, the relatively slow development of seed cell morphology and function.