Objective: To explore the clinical characteristics and diagnosis and treatment plans of neurofibromatosis type 1 (NF1), and to provide references for clinical diagnosis and treatment. Methods : The clinical manifestations and treatment of an 8-year-old female patient with NF1 was reported. A literature review was conducted to summarize the clinical characteristics and therapeutic strategies of NF1. Multiple NF1s occurred on the right cheek, orbit, and eyelid, and recurred after surgical resection. The tumor caused ptosis, incomplete closure, and vision loss in the upper eyelid of the right eye. After a multidisciplinary assessment determined that radical resection was not feasible, selumetinib sulfate targeted therapy was adopted (25 mg, Po, bid), 28 days constitute one treatment course, and 14 courses have been completed, combined with symptomatic ocular treatments, such as Befusu. Result: The follow-up showed that the tumor volume did not continue to increase (stable disease), the uncorrected vision of the right eye improved (0.05 vs 0.1), and no drug-related adverse reactions occurred during the treatment period. The literature review summarizes the diverse clinical manifestations of NF1, with café-au-lait macules, multiple neurofibromas, and Lisch nodules being hallmark features. Currently, surgical intervention remains the most commonly employed and primary therapeutic approach for NF1; however, for patients who do not meet the criteria for surgery, alternative treatment strategies should be considered. MEK inhibitors, such as selumetinib, demonstrate significant efficacy in inhibiting the growth of NF1-associated plexiform neurofibromas, with tumor volume reductions of at least 20% observed in 70% of pediatric patients in the SPRINT clinical trial. Furthermore, these inhibitors exhibit favorable long-term safety profiles. Conclusion Café-au-lait macules, multiple neurofibromas, and Lisch nodules are hallmark features of NF1. Selumetinib is safe and effective for NF1 in the head and neck of children, and it is the preferred treatment option for patients who are not suitable for surgery. Long-term follow-up monitoring of tumor changes and drug safety is required.

Objective To explore the association between aspartate aminotransferase(AST)/alanine aminotransferase(ALT)ratio and metabolic syndrome(MS)in elderly hypertensive patients,and to provide reference for early detection and prevention of MS in elderly hypertensive patients.Methods A questionnaire survey and physical examination were conducted among 616 elderly hypertensive patients at community health service centers.Participants were divided into two groups based on MS status:MS group(n=334)and non-MS group(n=282).According to AST/ALT levels,participants were divided into four groups:q1 group(AST/ALT ≤0.88,n=156),q2 group(0.88＜AST/ALT ≤ 1.10,n=155),q3 group(1.10＜AST/ALT ≤ 1.37,n=154),and q4 group(AST/ALT＞1.37,n=151).Blood biochemical parameters including triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),AST,ALT,and blood glucose were measured.The impact of AST/ALT levels on MS was analyzed using a Logistic regression model,while the risk prediction for MS occurrence was evaluated through receiver operating characteristic(ROC)curves.Results MS group showed higher body mass index(BMI),TG,ALT levels,abnormal glucose levels,female proportion,and abdominal obesity rate compared to non-MS group.HDL-C and AST/ALT values of MS group were lower than those in non-MS patients(P＜0.05).Logistic regression analysis revealed that after adjusting for BMI,smoking,alcohol consumption,physical activity,education level,marital status,TG,HDL-C,and glucose levels,both q3 and q4 groups demonstrated reduced MS risk compared to group q1 group(P＜0.05).ROC curve analysis indicated that the area under the curve for AST/ALT in MS was 0.638(P＜0.05).Conclusion The level of AST/ALT was negatively correlated with MS in elderly hypertensive patients,and AST/ALT has certain predictive value for the risk of MS in elderly hypertensive patients.

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.

Objective:To construct the optimal prediction model for in-hospital mortality risk in emergency multiple trauma patients based on different supervised machine learning algorithms.Methods:A retrospective analysis was conducted on the clinical data of 817 patients with emergency multiple trauma who were admitted to the Daxing Teaching Hospital, Capital Medical University from January 2019 to December 2023. Among them, 602 were males and 215 were females, the age ranged from 18 to 89 years, with an average of (54.82±17.25) years. The general information and laboratory test indicators of patients were collected as relevant predictor variables, with in-hospital mortality defined as the study endpoint. The patients were simply and randomly divided into the training set ( n=571) and the testing set ( n=246) in a 7∶3 ratio. Univariate analysis was performed on the training set to compare the relevant variables between the survival and death groups. Variables with statistical significance were then subjected to LASSO regression analysis to identify predictors with non-zero coefficients, which were selected as final features. Three supervised machine learning models, namely Logistic regression (LR), random forest (RF), and support vector machine (SVM) were selected to construct the model. The predictive performance of each model in testing set was evaluated, and the predictive efficacy of the models was verified using receiver operating characteristic (ROC) curve. The measurement data of normal distribution were expressed as mean±standard deviation ( ± s), and comparisons between groups were conducted using the t-test. The measurement data with non-normal distribution were expressed as median and interquartile range [ M( Q1, Q3)], and comparisons between groups were conducted using rank-sum tests. The count data were expressed as the number of cases and percentages, and comparisons between groups were conducted using the Chi-test or Fisher exact probability method. Results:A total of 817 patients were included, with 65 deaths, resulting in a mortality of 8.0%. Univariate analysis was conducted based on the training set data, and then LASSO regression analysis was performed on the variables with statistically significant differences. The results showed 17 variables were risk factors for in-hospital mortality in patients with emergency multiple trauma, including age, albumin, red blood cell (RBC), creatine kinase (CK), glucose (GLU), brain natriuretic peptide (BNP), C-reactive protein (CRP), lactic acid, PCO 2, low-density lipoprotein cholesterol (LDL-C), prothrombin time (PT), fibrinogen (FIB), fibrin degradation products (FDP), troponin I (TNI), procalcitonin (PCT), injury severity score (ISS), and Glasgow coma scale (GCS). Based on the above 17 variables, three supervised machine learning models were established. Among the LR model, the top 5 in terms of importance were PCO 2, PCT, FDP, PT, and RBC. Among the RF model, the top 5 in terms of importance were PCO 2, ISS, GLU, ALB, and GCS. Among the SVM model, the top 5 in terms of importance were PCT, FDP, PCO 2, PT, and GLU. Model performance evaluation in the testing set showed that the area under the curve (AUC) of the LR model was 0.952, the specificity was 0.996, the accuracy was 0.963, and both the sensitivity and recall rate were 0.600. The AUC of the RF model was 0.970, better than the LR and SVM models, the specificity was 0.987, the accuracy was 0.959, and both the sensitivity and recall rate were 0.650. The AUC of the SVM model was 0.944, the specificity was 0.996, the accuracy was 0.947, and both the sensitivity and recall rate were 0.400. Each model had its strengths, but the RF model demonstrated the best overall performance. Conclusion:The RF model constructed using 17 optimal variables such as PCO 2, ISS, GLU, ALB, and GCS shows strong predictive capability for in-hospital mortality in emergency multiple trauma patients and warrants further clinical investigation.

Objective To explore the association between aspartate aminotransferase(AST)/alanine aminotransferase(ALT)ratio and metabolic syndrome(MS)in elderly hypertensive patients,and to provide reference for early detection and prevention of MS in elderly hypertensive patients.Methods A questionnaire survey and physical examination were conducted among 616 elderly hypertensive patients at community health service centers.Participants were divided into two groups based on MS status:MS group(n=334)and non-MS group(n=282).According to AST/ALT levels,participants were divided into four groups:q1 group(AST/ALT ≤0.88,n=156),q2 group(0.88＜AST/ALT ≤ 1.10,n=155),q3 group(1.10＜AST/ALT ≤ 1.37,n=154),and q4 group(AST/ALT＞1.37,n=151).Blood biochemical parameters including triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),AST,ALT,and blood glucose were measured.The impact of AST/ALT levels on MS was analyzed using a Logistic regression model,while the risk prediction for MS occurrence was evaluated through receiver operating characteristic(ROC)curves.Results MS group showed higher body mass index(BMI),TG,ALT levels,abnormal glucose levels,female proportion,and abdominal obesity rate compared to non-MS group.HDL-C and AST/ALT values of MS group were lower than those in non-MS patients(P＜0.05).Logistic regression analysis revealed that after adjusting for BMI,smoking,alcohol consumption,physical activity,education level,marital status,TG,HDL-C,and glucose levels,both q3 and q4 groups demonstrated reduced MS risk compared to group q1 group(P＜0.05).ROC curve analysis indicated that the area under the curve for AST/ALT in MS was 0.638(P＜0.05).Conclusion The level of AST/ALT was negatively correlated with MS in elderly hypertensive patients,and AST/ALT has certain predictive value for the risk of MS in elderly hypertensive patients.

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.

Objective To investigate the effect of dioscin on uric acid(UA)-induced oxidative stress injury of human renal tubular epithelial cells(HK-2)and its molecular mechanism.Methods HK-2 cells were cultured and divided into four groups:blank group(normal group),model group(uric acid-stimulation modeling),condition control group(UA+DMSO)and dioscin group(UA+dioscin).Oxidative stress injury model was induced by UA in HK-2 cells.Cells viability was detected by CCK-8.ROS level was detected by flow cytometry.Real-time PCR was used to detect the expressions of glycogen synthase kinase 3β(GSK3β),nuclear factor erythroid 2-related factor 2(Nrf2)and heme oxygenase 1(HO-1)at mRNA level,and Western Blot was used to detect the expressions of phosphorylated glycogen synthesis kinase 3β(p-GSK3β),GSK3β,Nrf2 and HO-1 at protein level.Results After stimulation by UA,HK-2 cells viability was obviously decreased,and ROS level was significantly increased(all P＜0.001).When treated with dioscin,HK-2 cells viability was obviously increased,and the ROS level of HK-2 cells was significantly decreased(all P＜0.001).The expressions of Nrf2 and HO-1 decreased at the protein and mRNA levels after stimulation with UA.But the expressions of Nrf2 and HO-1 significantly increased after treated with dioscin(all P＜0.001).Compared with the blank group,the p-GSK3β/GSK3β ratio in the model group decreased significantly at the protein level,but the p-GSK3β/GSK3β ratio increased after treated with dioscin(all P＜0.001).Conclusion Dioscin can alleviate UA-induced oxidative stress injury in HK-2 cells.The mechanism might be that dioscin can promote phosphorylation of GSK3β,and activate Nrf2/HO-1 pathway.

Objective:To preliminarily evaluate the safety and efficacy of shunt-related interventional therapy accompanied with spontaneous portosystemic shunts (SPSS) in patients with hepatic encephalopathy (HE).Methods:Case data on six patients who underwent interventional therapy accompanied by SPSS for HE from January 2017 to March 2021 were collected to evaluate the efficacy and postoperative complications.Results:All six patients underwent SPSS. Four patients had hepatitis B cirrhosis; one had alcoholic cirrhosis; and one had hepatic arterioportal fistula-induced portal hypertension. Child-Pugh liver function scores were C and B in three and three cases, respectively. The SPSS type was gastrorenal shunt in two cases; portal-thoracic-azygos venous in two cases; portal-umbilical-iliac venous in one case; and portal-splenic venous - inferior vena cava in one case. Two of them had previously had a transjugular intrahepatic portosystemic shunt (TIPS), and there were SPSS prior to TIPS. Five cases (5/6) successfully underwent shunt embolization, and one case (1/6) underwent stent implantation for flow restriction (portal-umbilical-iliac vein). The technical success rate was 100%. HE did not recur during hospitalization or the three-month follow-up period. However, one case had a recurrence of HE within a year after surgery and was treated symptomatically, while another experienced gastrointestinal bleeding a year after surgery..Conclusion:SPSS embolization or flow restriction is effective and safe for improving HE patients' symptoms.

Background::Exercise, as the cornerstone of pulmonary rehabilitation, is recommended to chronic obstructive pulmonary disease (COPD) patients. The underlying molecular basis and metabolic process were not fully elucidated.Methods::Sprague-Dawley rats were classified into five groups: non-COPD/rest ( n = 8), non-COPD/exercise ( n = 7), COPD/rest ( n = 7), COPD/medium exercise ( n = 10), and COPD/intensive exercise ( n = 10). COPD animals were exposed to cigarette smoke and lipopolysaccharide instillation for 90 days, while the non-COPD control animals were exposed to room air. Non-COPD/exercise and COPD/medium exercise animals were trained on a treadmill at a decline of 5° and a speed of 15 m/min while animals in the COPD/intensive exercise group were trained at a decline of 5° and a speed of 18 m/min. After eight weeks of exercise/rest, we used ultrasonography, immunohistochemistry, transmission electron microscopy, oxidative capacity of mitochondria, airflow-assisted desorption electrospray ionization-mass spectrometry imaging (AFADESI-MSI), and transcriptomics analyses to assess rectal femoris (RF). Results::At the end of 90 days, COPD rats’ weight gain was smaller than control by 59.48 ± 15.33 g ( P = 0.0005). The oxidative muscle fibers proportion was lower ( P < 0.0001). At the end of additional eight weeks of exercise/rest, compared to COPD/rest, COPD/medium exercise group showed advantages in weight gain, femoral artery peak flow velocity (Δ58.22 mm/s, 95% CI: 13.85-102.60 mm/s, P = 0.0104), RF diameters (Δ0.16 mm, 95% CI: 0.04-0.28 mm, P = 0.0093), myofibrils diameter (Δ0.06 μm, 95% CI: 0.02-0.10 μm, P = 0.006), oxidative muscle fiber percentage (Δ4.84%, 95% CI: 0.15-9.53%, P = 0.0434), mitochondria oxidative phosphorylate capacity ( P < 0.0001). Biomolecules spatial distribution in situ and bioinformatic analyses of transcriptomics suggested COPD-related alteration in metabolites and gene expression, which can be impacted by exercise. Conclusion::COPD rat model had multi-level structure and function impairment, which can be mitigated by exercise.

Objective:To analyze the laboratory detection methods and clinical characteristics of patients with 2019-nCoV Omicron variant infection, to realize the rapid identification and diagnosis of 2019-nCoV Omicron variants.Methods:Totally 80 overseas patients in First Hospital of Changsha from December 16 in 2021 to January 5 in 2022 were selected, the nucleic acids and mutant genes were detected by fluorescent PCR and genome sequencing, and the clinical characteristics of patients with 2019-nCoV Omicron variant infection were analyzed.Results:The specificity was 100% (58/58) and positive predictive value was 100% (21/21) respectively, the sensitivity was 95.5% (21/22), negative predictive value was 98.3% (58/59) by detected with fluorescent PCR. It was found that there were 45-50 nucleotide displacement sites in the genome and 25-30 amino acid mutation sites in S gene fragment by genome sequencing. Clinical analysis showed that mild cases were 59.1% (13/22) in layouts, without severe and critical cases. Ages were positively associated with the clinical classification (ρ=0.698, P<0.001), foundation infections were positively associated with the clinical classification (ρ=0.636, P<0.001). Conclusions:Patients with 2019-nCoV Omicron variant infection had a high viral load and long negative conversion time of nucleic acid. Ages and foundation infections were positively associated with the clinical classification. AST/ALT was higher in the early stage of the disease. Fluorescent PCR method can be used in rapid screening patients with 2019-nCoV Omicron variant infection.