Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.

Objective:To investigate the current application of blood purification in the treatment of acute poisoning within Jiangsu Province and to evaluate the impact of extracorporeal blood purification on the clinical outcomes of critically poisoned patients.Methods:This multicenter, cross-sectional real-world observational study followed patients presenting with poisoning to the emergency departments of nine hospitals in Jiangsu Province between June 2015 and May 2019. Data were collected on demographic characteristics, vital signs within the first hour of emergency presentation, treatment modalities, length of hospital stay, and survival outcomes. Clinical data from patients who underwent extracorporeal blood purification were compared with those who did not, using the Wilcoxon rank-sum test and Chi-square test.Results:A total of 4 178 poisoning cases were included between June 2015 and May 2019. Among them, 21.7% (908/4 178) received blood purification therapy, while 78.3% (3 270/4 178) did not. Hemoperfusion (90.4%) was the most frequently employed method, followed by continuous renal replacement therapy (CRRT) (4.4%). In combined blood purification modalities, 4.8% underwent hemoperfusion combined with CRRT, 0.1% received hemoperfusion with plasma exchange, and another 0.1% underwent hemoperfusion combined with both CRRT and plasma exchange. Among patients who underwent blood purification, pesticide poisoning was the most prevalent (76.3%), with the most common toxic agents being paraquat (23.7%), dichlorvos (8.7%), methamidophos (5.2%), omethoate (4.0%), and glyphosate (3.7%). Compared to the non-blood purification group, patients in the blood purification group were more likely to present within the first hour with a low Glasgow Coma Scale (GCS) score (3-8) (22.6% vs. 9.7%, P <0.05), low mean arterial pressure (8.0% vs. 3.2%, P <0.05), longer hospital stays [5(3,9) days vs. 2(1,4) days, P <0.05] and a higher in-hospital mortality rate (21.1% vs. 5.3%, P <0.05). Follow-up via telephone 28 days after discharge revealed a survival rate of 78.9%, with a mortality rate of 21.1% in the blood purification group. Conclusions:Hemoperfusion is the most commonly utilized blood purification technique for treating poisoning in Jiangsu Province, with pesticides being the primary toxic agents treated. Although the mortality rate is higher in the blood purification group, the intervention may still contribute to improved patient outcomes.

Objective The morphological and data characteristics of premature ventricular contraction(PVC)were obtained through dynamic electrocardiogram(DCG),and its correlation with new-onset major adverse cardiovascular events(MACE)was analyzed.Methods A total of 115 patients with PVC admitted to Huzhou First People's Hospital from January 2022 to January 2024 were retrospectively selected and divided into MACE group(n=31)and non-MACE group(n=84)according to the new-onset MACE.Collect the baseline data of patients,as well as DCG data such as the morphological and data characteristics of PVC.Collect the baseline data of patients,as well as DCG data such as the morphological and data characteristics of PVC.Multivariate Logistic regression was used to analyze the influencing factors of new-onset MACE in patients with PVC.The receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of influencing factors for the risk of new-onset MACE in patients with PVC.Results There were statistically significant differences in gender,disease duration,QRS wave duration,PVC origin,PVC load,and Lown classification between two groups of patients(P＜0.05).Multivariate Logistic regression analysis showed that QRS wave duration(OR=1.070),PVC origin(OR=6.840)and PVC load(OR=2.583)were independent risk factors for new-onset MACE in PVC patients(P＜0.05).The ROC curve showed that the area under the curve for predicting new-onset MACE in PVC patients with QRS wave duration,PVC origin,and PVC load were 0.791,0.750,and 0.917 respectively.The predictive value of PVC load was the highest.Conclusion QRS wave duration,PVC origin and PVC load are related to new-onset MACE in PVC patients,and PVC load has a good predictive effect on the risk of new-onset MACE in PVC patients.

Metagenomic next-generation sequencing, as an unbiased detection technology, demonstrates higher diagnostic efficacy than traditional methods. Gut microorganisms are important flora for safeguarding health and have become a hot research topic. Modeling and analyzing the genomic data of intestinal flora using machine learning is very important in disease prediction and diagnosis. This paper briefly introduces the characteristics of metagenomic next-generation sequencing, key algorithms and evaluation indexes of machine learning, outlines the main steps of combining machine learning with metagenomic next-generation sequencing, and summarizes the application of the combination of machine learning and metagenomic next-generation sequencing technology in the study of intestinal flora, which will provide a more accurate method for diagnosis and prediction of the related diseases, and give more ideas for the future research and clinical practice.

Glaesserella parasuis is the causative agent of Gl?sser's disease in pigs.However,the pathogenic mechanisms underlying its virulence is not yet fully understood.The RuvB protein,a member of the AAA+superfamily,is implicated in various cellular processes,yet its specific role in the virulence of Glaesserella parasuis has not been fully characterized.In this study,we con-structed a RuvB gene deletion mutant,designated ΔRuvB,using the serotype 13 Glaesserella pa-rasuis strain ZJ1208 and a suicide plasmid-mediated natural transformation approach.To elucidate the functional role of the RuvB gene,we comprehensively evaluated the biological characteristics of the ΔRuvB strain through a series of assays,including growth kinetics,colony morphology,bac-terial staining,transmission electron microscopy(TEM),osmotic stress tolerance,high-tempera-ture tolerance,heat shock resistance,UV resistance,capsular polysaccharide quantification,serum bactericidal assays,and murine virulence experiments.Our findings revealed that the growth rate of ΔRuvB showed no significant difference compared to the parental strain.TEM revealed a notable increase in bacterial cell length;however,the number of outer membrane vesicles(OMVs)on the surface of ΔRuvB did not significantly increase.Notably,the ΔRuvB strain displayed a significant reduction in capsular polysaccharide production and serum resistance,as well as diminished toler-ance to UV radiation and high temperatures.Significant alterations were observed in its resistance to osmotic stress or oxidative stress.In the mouse toxicity challenge experiment,in com-parison with the parental strain ZJ1208,the mortality rate dropped by 20 percentage points,suggesting that the virulence of ΔRuvB has been weakened to some extent.Collectively,these results underscore the critical role of the RuvB gene in enhancing the environmental adaptability of Glaesserella parasuis.

Knowledge graphs have been more popular in the medical industry in recent years due to the development of big data analysis technologies.Information reflecting a range of physiological markers of patients is gathered in laboratory medicine,which forms an essential basis for clinical decision-making.Knowledge graphs could uncover the hidden value in inspection and consequently furnish accurate inspection data.Knowledge graphs are currently used in laboratory medicine to forecast possible adverse drug responses,help with diagnosis,integrate historical trends of patient laboratory inspections,and identify correlations across detection projects.The interaction between inspection items,auxiliary diagnosis,and medication guidance are three angles from which the use of knowledge graphs in laboratory medicine is analyzed and evaluated.Further support the intelligent construction of clinical laboratory diagnosis,it is also suggested that the development of test medical knowledge graphs extend in the direction of semantic search,decision support,and intelligent question answer.

Glaesserella parasuis is the causative agent of Gl?sser's disease in pigs.However,the pathogenic mechanisms underlying its virulence is not yet fully understood.The RuvB protein,a member of the AAA+superfamily,is implicated in various cellular processes,yet its specific role in the virulence of Glaesserella parasuis has not been fully characterized.In this study,we con-structed a RuvB gene deletion mutant,designated ΔRuvB,using the serotype 13 Glaesserella pa-rasuis strain ZJ1208 and a suicide plasmid-mediated natural transformation approach.To elucidate the functional role of the RuvB gene,we comprehensively evaluated the biological characteristics of the ΔRuvB strain through a series of assays,including growth kinetics,colony morphology,bac-terial staining,transmission electron microscopy(TEM),osmotic stress tolerance,high-tempera-ture tolerance,heat shock resistance,UV resistance,capsular polysaccharide quantification,serum bactericidal assays,and murine virulence experiments.Our findings revealed that the growth rate of ΔRuvB showed no significant difference compared to the parental strain.TEM revealed a notable increase in bacterial cell length;however,the number of outer membrane vesicles(OMVs)on the surface of ΔRuvB did not significantly increase.Notably,the ΔRuvB strain displayed a significant reduction in capsular polysaccharide production and serum resistance,as well as diminished toler-ance to UV radiation and high temperatures.Significant alterations were observed in its resistance to osmotic stress or oxidative stress.In the mouse toxicity challenge experiment,in com-parison with the parental strain ZJ1208,the mortality rate dropped by 20 percentage points,suggesting that the virulence of ΔRuvB has been weakened to some extent.Collectively,these results underscore the critical role of the RuvB gene in enhancing the environmental adaptability of Glaesserella parasuis.

Knowledge graphs have been more popular in the medical industry in recent years due to the development of big data analysis technologies.Information reflecting a range of physiological markers of patients is gathered in laboratory medicine,which forms an essential basis for clinical decision-making.Knowledge graphs could uncover the hidden value in inspection and consequently furnish accurate inspection data.Knowledge graphs are currently used in laboratory medicine to forecast possible adverse drug responses,help with diagnosis,integrate historical trends of patient laboratory inspections,and identify correlations across detection projects.The interaction between inspection items,auxiliary diagnosis,and medication guidance are three angles from which the use of knowledge graphs in laboratory medicine is analyzed and evaluated.Further support the intelligent construction of clinical laboratory diagnosis,it is also suggested that the development of test medical knowledge graphs extend in the direction of semantic search,decision support,and intelligent question answer.

Objective:To analyze the echocardiographic and genetic characteristics of fetuses with common arterial trunk（CAT）.Methods:A retrospective analysis was conducted on 77 480 fetal echocardiograms examined at the Maternal-Fetal Medicine center in Fetal Heart Disease of Beijing Anzhen Hospital from November 2010 to November 2024.Among them，106 fetuses were initially diagnosed with CAT，and 95 cases were ultimately confirmed（0.1%，95/77 480）. The echocardiographic and genetic features of CAT fetuses were analyzed. According to the modified Van Praagh classification，CAT was divided into types A1-A4［with ventricular septal defect（VSD）］and B1-B4（without VSD）based on the origin of the pulmonary artery branches and the presence or absence of a VSD. Additionally，CAT was categorized into isolated and complex types based on the presence of associated intracardiac or extracardiac anomalies.Results:① Among the 95 confirmed CAT fetuses，type A accounted for 90.5%（86/95），and type B accounted for 9.5%（9/95）. All 9 type B CAT fetuses exhibited no overriding of the arterial trunk ， with 8 cases showing left ventricular hypoplasia accompanied by mitral atresia or absence.② Of the 95 CAT fetuses，14 were isolated（14.7%，14/95） ， and 81 were complex（85.3%，81/95）.The main associated intracardiac anomalies included：single ventricle（22 cases），complete atrioventricular septal defect（12 cases），anomalous pulmonary venous drainage（10 cases），right aortic arch with mirror-image branching（16 cases），and persistent left superior vena cava（14 cases）. ③ Genetic testing was performed in 31 fetuses，with 18 showing positive results，primarily 22q11.21 deletion syndrome（29.0%，9/31）. Conclusions:Apart from VSD，the most common intracardiac anomaly associated with CAT fetuses is single ventricle. Type B CAT without trunk overriding is often associated with left ventricular hypoplasia and mitral atresia or absence. The most frequent genetic abnormality in CAT fetuses is 22q11.21 deletion syndrome. Prenatal echocardiography should clarify the CAT subtype and associated anomalies，and genetic testing is strongly recommended for perinatal counseling and prognostic evaluation.

Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.