OBJECTIVE: To investigate the effectiveness of digital three-dimensional (3D) assisted unilateral biportal endoscopy (UBE) in the treatment of highly isolated lumbar disc herniation (LDH) with translaminar approach. METHODS: The clinical data of 59 patients who met the selection criteria and underwent UBE treatment due to highly isolated LDH between January 2022 and December 2023 were retrospectively analyzed. Among them, 25 cases were treated with digital 3D assisted translaminar approach (observation group) and 34 cases were treated with interlaminar approach (control group). There was no significant difference in gender, age, disease duration, surgical segment, and preoperative visual analogue scale (VAS) score and Oswestry disability index (ODI) between the two groups ( P>0.05). The operation time, intraoperative blood loss, and lateral articular surface preservation rate were recorded and compared between the two groups. VAS score and ODI were used to evaluate the improvements of pain and function before operation and at 3 and 6 months after operation. The modified MacNab criteria was used to evaluate the effectiveness at last follow-up. RESULTS: One patient in the control group had dural tear, and the other patients had no nerve injury, infection, dural tear, or other related complications. There was no significant difference in operation time and intraoperative blood loss between the two groups ( P>0.05). Patients in both groups were followed up 6-13 months, with an average of 8.3 months. The lateral articular surface preservation rate in the observation group was significantly higher than that in the control group ( P<0.05). Three patients in the observation group and 2 patients in the control group had calf muscle venous thrombosis, which was cured after anticoagulant treatment with rivaroxaban and delayed exercise time. There was no recurrence or second operation during the follow-up period. The VAS score and ODI of the two groups at 3 and 6 months after operation significantly improved when compared with those before operation ( P<0.05). There was no significant difference between the two groups at each time point after operation ( P>0.05). At last follow-up, the effectiveness was evaluated according to the modified MacNab criteria, and there was no significant difference in the evaluation grade and excellent and good rate between the two groups ( P>0.05). CONCLUTION UBE via translaminar approach is safe and effective for the treatment of highly isolated LDH, which is beneficial to protect the facet joint, maintain spinal stability, and reduce soft tissue injury. With the assistance of digital 3D technique, preoperative planning can be performed accurately.
Humans ; Intervertebral Disc Displacement/diagnostic imaging* ; Lumbar Vertebrae/diagnostic imaging* ; Male ; Retrospective Studies ; Female ; Endoscopy/methods* ; Treatment Outcome ; Middle Aged ; Adult ; Imaging, Three-Dimensional ; Operative Time ; Pain Measurement

Objective:To investigate the effect of PD-1/PD-L1 inhibitor BMS-1 on LPS-induced inflammation in mouse microg-lia cells(BV-2 cells).Methods:Bv-2 cells were divided into Control group,LPS group and LPS+BMS-1 group.Bv-2 cells in Control group were cultured in DMEM medium for 78 hours,cells in LPS group were stimulated with 100 ng/ml LPS for 6 hours after 72 hours of normal culture,Bv-2 cells in LPS+BMS-1 group were treated with 50 nmol/ml BMS-1 for 72 hours and then stimulated with 100 ng/ml LPS for 6 hours.Expressions of PD-1 and iNOS mRNA in each group were detected by RT-qPCR,and expressions of PD-1 and iNOS protein in microglia were detected by Western blot.Flow cytometry was used to detect cell apoptosis in each group.Levels of inflamma-tory cytokines IL-1β,IL-6,TNF-α and IL-10 were detected by ELISA.Results:RT-qPCR and Western blot results showed that com-pared with Control group,LPS group had significantly increased expression of PD-1 and iNOS(P<0.05).Compared with LPS group,LPS+BMS-1 group had significantly decreased expression of PD-1(P<0.05)and significantly increased expression of iNOS(P<0.05).Flow cytometry showed that compared with Control group,LPS group had a significantly increased in apoptosis of microglia(P<0.000 1).Compared with LPS group,LPS+BMS-1 group had a significantly increased in apoptosis of microglia(P<0.000 1).ELISA results showed that compared with Control group,LPS group had no significantly increased in pro-inflammatory factors IL-1β and IL-6(P>0.05),while significantly increased in TNF-α(P<0.000 1)and anti-inflammatory factor IL-10(P<0.000 1).Pro-inflammatory cyto-kine IL-1β in LPS+BMS-1 group was significantly higher than that in LPS group(P=0.000 1),IL-6 and TNF-α were also significantly higher than those in LPS group(P<0.000 1),while anti-inflammatory cytokine IL-10 in LPS+BMS-1 group was significantly lower than that in LPS group(P<0.000 1).Conclusion:BMS-1 can promote LPS-induced inflammatory response or impede the recovery of inflammation,and increase apoptosis of microglia.PD-1/PD-L1 pathway may be a potential therapeutic target for neuroinflammation.

Objective:To evaluate the treatment strategies and outcomes for contracted nasal deformity.Methods:A retrospective review was conducted of the patients with contracted noses who underwent surgery at the Department of Plastic and Aesthetic Surgery, the Second Xiangya Hospital of Central South University, between January 2021 and January 2024. Based on the pathologic-anatomic features and severity of the deformity, patients were categorized as having mild, moderate or severe contraction. Mild cases received extensive subcutaneous dissection and framework reconstruction with various grafts. Moderate cases underwent preoperative nasal-skin distraction and intra-operative reconstruction with lower lateral or septal cartilage. Severe cases, in addition to reconstruction of the lower lateral cartilage and nasal septum, underwent individualized repair, including mucosal or cutaneous defect resurfacing. Postoperative follow-up assessed nasal appearance, complications and recurrence of contraction. Nasal aesthetics were quantified with visual analogue scale (VAS, 0-10 points; higher scores = less deformity), and patient satisfaction with the rhinoplasty outcome evaluation (ROE) questionnaire (0 = very dissatisfied, 100 = very satisfied) before surgery and at final follow-up. Paired t-test was used for VAS and ROE comparisons; categorical variables were analyzed with the χ2 test. A P-value < 0.05 denoted statistical significance. Results:A total of 96 patients were included, comprising 7 males and 89 females, aged (27.4 ± 8.0) years (19-58 years). There were 64 cases of mild, 19 cases of moderate, and 13 cases of severe contracted nose deformities. Postoperative follow-up(14.0 ± 4.6) months (6-19 months). No cases of abnormal nasal appearance, infection, necrosis, scar hyperplasia, or recurrence of contracted nose were observed during follow-up. Significant improvements in nasal aesthetic outcomes were observed. The VAS scores for mild, moderate, and severe contracted noses increased significantly from preoperative values of 4.7 ± 1.0, 3.0 ± 1.2, and 2.2± 1.1 to postoperative values of 8.6 ± 0.7, 8.9 ± 0.7, and 8.2 ± 0.9, respectively (all P < 0.01). Similarly, the ROE scores improved significantly from 59.1 ± 10.0, 34.2 ± 12.1, and 28.5± 6.3 preoperatively to 90.2 ± 9.5, 91.5 ± 7.5, and 93.3 ± 5.8 postoperatively (all P < 0.01). Conclusion:Selecting appropriate surgical methods based on the pathological and anatomical characteristics and severity of contracted nose deformities can achieve favorable outcomes. Postoperative nasal aesthetic appearance is significantly improved, and patient satisfaction is high.

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.

Digital technology has revolutionized the traditional model of quality evaluation for traditional Chinese medicine(TCM).This article systematically reviews the research hotspots and practical applications of digital-driv-en quality evaluation of TCM.Simultaneously,this paper analyzes and assesses the challenges faced by the digitiza-tion of TCM quality evaluation from multiple perspectives,including data acquisition,model construction,applica-tion promotion and market acceptance,and puts forward targeted strategies.Addressing the existing issues in the field of TCM quality,this paper proposes a series of innovative concepts,including the mining and application of TCM property data,the construction of a large database of TCM components,the integration of digital technology and emerging biotechnology for biological effect evaluation of TCM and clinical intelligent evaluation based on real-world data.Based on these,it further proposes a multi-dimensional quality analysis model for grading TCM,which encompasses TCM property data,chemical composition analysis,biological effect assessment and clinical evalua-tion.It aims to provide a useful reference for the modernization,scientification,and standardization of TCM quality evaluation.

Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.

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 compare the clinical efficacy of digital 3D technology assisted and traditional one-hole split endoscopic surgery for lumbar spinal stenosis with degenerative scoliosis(LSS-DS).Methods Clinical data of 42 patients with LSS-DS who underwent one-hole split endoscopic surgery from January 2022 to December 2023 were retrospectively analyzed.Among them,20 cases were treated with digital 3D technology assisted one-hole split endoscopic surgery(3D group),and 22 cases were treated with traditional one-hole split endoscopic surgery(traditional group).The operation time,intraoperative blood loss,lateral articular surface preservation rate,Visual Analogue Scale(VAS)of lower extremity pain,Oswestry Disability Index(ODI)and modified MacNab criteria at the last follow-up were compared between the two groups.Results Both groups of patients were operated successfully.The operation time of the 3D group and the traditional group was(73.3±24.0)min and(65.7±23.8)min,respectively,with no significant difference(t=1.020,P=0.314).The intraoperative blood loss was(65.3±14.7)ml and(66.7±17.1)ml,respectively,with no significant difference(t=-0.298,P=0.767).The retention rate of lateral articular surface in the 3D group[(88.2±6.3)%]was significantly higher than that in the traditional group[(82.7±4.6)%,t=3.201,P=0.003].One patient in the traditional group had dural tear and was cured after conservative treatment.There were 3 cases of calf muscle venous thrombosis in the 3D group and 4 cases in the traditional group.All the 7 patients were given anticoagulant therapy and appropriately delayed time of ambulation.In the3D group,20 cases were followed up for6-13 months,with a mean of(8.2±2.0)months;in the traditional group,22 cases were followed up for 6-12 months,with a mean of(7.7±1.7)months.According to the modified MacNab criteria,the excellent and good rate was 95.0%(19/20)in the 3D group and 90.1%(20/22)in the traditional group at the last follow-up,and there was no significant difference between the two groups(Z=-0.311,P=0.756).The VAS score and ODI of the two groups were significantly improved at 3 months and 6 months after operation(all P=0.000),but there was no significant difference between the two groups at each time point(P>0.05).Conclusion The short-term efficacy of digital 3D technology assisted one-hole split endoscopic surgery in the treatment of LSS-DS is definite,and the symptoms of patients are significantly improved.

Digital technology has revolutionized the traditional model of quality evaluation for traditional Chinese medicine(TCM).This article systematically reviews the research hotspots and practical applications of digital-driv-en quality evaluation of TCM.Simultaneously,this paper analyzes and assesses the challenges faced by the digitiza-tion of TCM quality evaluation from multiple perspectives,including data acquisition,model construction,applica-tion promotion and market acceptance,and puts forward targeted strategies.Addressing the existing issues in the field of TCM quality,this paper proposes a series of innovative concepts,including the mining and application of TCM property data,the construction of a large database of TCM components,the integration of digital technology and emerging biotechnology for biological effect evaluation of TCM and clinical intelligent evaluation based on real-world data.Based on these,it further proposes a multi-dimensional quality analysis model for grading TCM,which encompasses TCM property data,chemical composition analysis,biological effect assessment and clinical evalua-tion.It aims to provide a useful reference for the modernization,scientification,and standardization of TCM quality evaluation.