OBJECTIVE:Postoperative recurrence is a common complication of percutaneous endoscopic lumbar discectomy for lumbar disc herniation,which can significantly increase the risk of reoperation.A well-performing risk prediction model can help identify high-risk groups early and prevent postoperative recurrence.This study systematically evaluated the risk prediction model for postoperative recurrence after percutaneous endoscopic lumbar discectomy to provide a reference for surgical decision-making.METHODS:The PubMed,Embase,Web of Science,CNKI,WanFang Data,VIP,and CBM were electronically searched to collect studies on the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy from inception to July 1,2024.Two reviewers independently screened the literature and extracted data.The models' risk of bias,applicability,and report quality were assessed using prediction model risk of bias assessment tool(PROBAST)and Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis(TRIPOD)tools,respectively.Meta-analysis of postoperative recurrence rate of percutaneous endoscopic lumbar discectomy and related predictors was performed using Revman 5.4 software.RESULTS:(1)A total of 15 studies were included,all of which were retrospective studies,including 24 models for predicting the risk of recurrence after percutaneous endoscopic lumbar discectomy.(2)The PROBAST evaluation results indicated that all 15 studies exhibited a high risk of bias.Regarding applicability,two studies demonstrated a low risk,while 13 presented a high risk.(3)Regarding the TRIPOD reporting quality,the overall quality across the 15 studies was low.The primary reasons for this low compliance included the failure to report blinding,a lack of explanation for the sample size calculation method,lack of detailed description of missing data processing methods,and lack of information such as introduction to the model used.(4)Furthermore,the area under the receiver operating characteristic curve for the model ranged from 0.684 to 0.972,with the number of potential predictor variables varying from 15 to 28.(5)The results of meta-analysis showed that the postoperative recurrence rate of lumbar disc herniation patients treated with percutaneous endoscopic lumbar discectomy was 12％(95％CI=9.0％-15.0％),Modic changes(OR=6.72,95％CI=3.90-11.59),body mass index(OR=1.28,95％CI=1.10-1.49),work intensity(OR=3.22,95％CI=1.85-5.59),age(OR=2.28,95％CI=1.50-3.48),and smoking history(OR=2.65,95％CI=1.75-4.00)were independent influencing factors for postoperative recurrence of percutaneous endoscopic lumbar discectomy(all P＜0.05).CONCLUSION:The overall predictive performance of the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy is satisfactory;however,the model exhibits a high overall risk of bias and applicability,coupled with low reporting quality.Additionally,there is a lack of prospective research and external validation.Future,risk prediction models should consider factors such as Modic changes,body mass index,work intensity,age,and smoking history as potential predictors.

OBJECTIVE:Postoperative recurrence is a common complication of percutaneous endoscopic lumbar discectomy for lumbar disc herniation,which can significantly increase the risk of reoperation.A well-performing risk prediction model can help identify high-risk groups early and prevent postoperative recurrence.This study systematically evaluated the risk prediction model for postoperative recurrence after percutaneous endoscopic lumbar discectomy to provide a reference for surgical decision-making.METHODS:The PubMed,Embase,Web of Science,CNKI,WanFang Data,VIP,and CBM were electronically searched to collect studies on the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy from inception to July 1,2024.Two reviewers independently screened the literature and extracted data.The models' risk of bias,applicability,and report quality were assessed using prediction model risk of bias assessment tool(PROBAST)and Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis(TRIPOD)tools,respectively.Meta-analysis of postoperative recurrence rate of percutaneous endoscopic lumbar discectomy and related predictors was performed using Revman 5.4 software.RESULTS:(1)A total of 15 studies were included,all of which were retrospective studies,including 24 models for predicting the risk of recurrence after percutaneous endoscopic lumbar discectomy.(2)The PROBAST evaluation results indicated that all 15 studies exhibited a high risk of bias.Regarding applicability,two studies demonstrated a low risk,while 13 presented a high risk.(3)Regarding the TRIPOD reporting quality,the overall quality across the 15 studies was low.The primary reasons for this low compliance included the failure to report blinding,a lack of explanation for the sample size calculation method,lack of detailed description of missing data processing methods,and lack of information such as introduction to the model used.(4)Furthermore,the area under the receiver operating characteristic curve for the model ranged from 0.684 to 0.972,with the number of potential predictor variables varying from 15 to 28.(5)The results of meta-analysis showed that the postoperative recurrence rate of lumbar disc herniation patients treated with percutaneous endoscopic lumbar discectomy was 12％(95％CI=9.0％-15.0％),Modic changes(OR=6.72,95％CI=3.90-11.59),body mass index(OR=1.28,95％CI=1.10-1.49),work intensity(OR=3.22,95％CI=1.85-5.59),age(OR=2.28,95％CI=1.50-3.48),and smoking history(OR=2.65,95％CI=1.75-4.00)were independent influencing factors for postoperative recurrence of percutaneous endoscopic lumbar discectomy(all P＜0.05).CONCLUSION:The overall predictive performance of the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy is satisfactory;however,the model exhibits a high overall risk of bias and applicability,coupled with low reporting quality.Additionally,there is a lack of prospective research and external validation.Future,risk prediction models should consider factors such as Modic changes,body mass index,work intensity,age,and smoking history as potential predictors.

Background: Influenza A virus (IAV) is a negative-sense RNA virus of the Orthomyxoviridae family and is the etiological agent of a highly contagious acute respiratory disease that can lead to acute lung injury. Objective: To elucidate the molecular mechanisms of IAV infection, an integrative research approach combining gene expression profiling, multinetwork analysis, and in vivo experimental validations was employed. Methods: First, a series of network-based analyses were performed, including protein-protein interaction network construction, weighted gene co-expression network analysis, and subsequent gene set enrichment analysis, to identify the major underlying mechanisms of IAV infection. Following gene expression analysis, core targets, both direct and indirect regulators, were screened. An IAV (H1N1) strain A/PR/8/34-induced acute lung injury mouse model was constructed for in vivo validations. Batch one included two groups to evaluate findings from the multi-network analysis: Mock (n = 10; 5 males and 5 females) and IAV (n = 10; 5 males and 5 females). Batch two included three groups to assess the role of toll-like receptor 3 (TLR3) in IAV infection: Mock (n = 6; 3 males and 3 females), IAV (n = 6; 3 males and 3 females), and TLR3 inhibitor (n = 6; 3 males and 3 females). Body weight was measured on days 0, 3, and 5 after infection. On day 5, lung tissues were collected to assess viral load and histopathological changes. Key targets were examined using enzyme-linked immunosorbent assay, Western blotting, and immunofluorescence staining, both in sera and lung tissues. Results: IAV infection was significantly associated with dysregulation of the immune-inflammation system, such as the LTR, nucle-otide-binding oligomerization domain-(NOD) like receptor, retinoic acid-inducible gene I-like receptor, and nuclear factor kappa-B signaling pathways. Gene set enrichment analysis further indicated that the TLR and necroptosis signaling pathways played crucial roles in the progression of IAV infection (TLR signaling pathway normalized enrichment score = 2.3941, P = 1.00 × 10 ⁻¹⁰; necroptosis normalized enrichment score = 1.9421, P = 6.21 × 10 ⁻⁷). Among the core targets, TLR3 and mixed lineage kinase domain-like protein (MLKL) may regulate gene expression at the transcriptional level (all P < 0.05). In vivo validation using an IAV (PR8) infected acute lung injury mouse model demonstrated increased viral load and lung index, alveolar structural damage, and inflammatory cell infiltration. Immunofluorescence staining exhibited large gaps in Lamin B1 staining and breaches in Emerin signals following IAV-PR8 infection. Expression levels of TLR3, p-receptor-interacting serine/threonine-protein kinase 3 (RIPK3)/RIPK3, and p-mixed lineage kinase domain-like protein (MLKL)/MLKL proteins in lung tissues, as well as proinflammatory factors and mediators in sera, were significantly elevated after IAV infection. Moreover, enhanced neutrophil infiltration (myeloperoxidase) and citrullinated histone H3 (a neutrophil extracellular trap-specific marker), both established indicators of neutrophil extracellular trap formation, were observed. Notably, treatment with a TLR3 inhibitor significantly ameliorated IAV-induced acute lung injury by regulating necroptosis-related targets. Conclusion: Our study provides network-based in vivo evidence that TLR3-receptor-interacting serine/threonine-protein kinase 3-MLKL-mediated necroptosis may underlie IAV-induced acute lung injury and could serve as a potential therapeutic target in severe influenza cases.

Objective To explore factors associated with early postoperative hormonal remission in patients with prolactinoma and to develop prediction models based on clinical and radiological features. Methods Data from 107 patients with prolactinoma who underwent transsphenoidal surgery at The First People’s Hospital of Huai’an, Nanjing Medical University between January 2020 and December 2024 was collected, included general clinical characteristics, preoperative laboratory indicators, and imaging features. Based on whether early postoperative prolactin (PRL) levels normalized, patients were divided into a remission group (n=76) and a non-remission group (n=31). Univariate logistic regression was used for preliminary evaluation of candidate variables, followed by LASSO regression for feature selection. Multiple machine learning models were constructed, including logistic regression, random forest, support vector machine, K-nearest neighbors, naive Bayes, decision tree, neural network, and gradient boosting decision tree (GBDT). All models were trained and evaluated using ten-fold cross-validation, with comprehensive assessment of model performance based on the area under the ROC curve (AUC), accuracy, sensitivity, specificity, precision, and F1 score. Results The maximum diameter of tumors in the non remission group was larger than that in the remission group (P=0.019), and the incidence of tumor stroke and preoperative PRL levels were significantly higher than those in the remission group (P＜0.001). Univariate analysis showed that sex, maximum tumor diameter, tumor stroke, and preoperative PRL levels were influencing factors for early postoperative hormone response in patients with prolactinoma (P＜0.05). The comparison results of machine learning models show that the neural network model performs the best (AUC=0.921) and has good clinical application value, followed by the GBDT model (AUC=0.893) and the support vector machine model (AUC=0.884). Other models also show certain predictive ability. Conclusions Sex, preoperative PRL levels, maximum tumor diameter, Hounsfield unit value, and tumor stroke are important factors affecting early hormone response after prolactinoma surgery. The machine learning model constructed based on the above variables has good predictive performance, and performs the best and has good clinical application value.

Objective To prepare a variety of quality control(QC)materials for SARS-CoV-2 variants as an addition to the conven-tional SARS-CoV-2 nucleic acid QC products for the laboratory detection of mutant strains by optimizing the preparation and purification process of MS2 phage virus-like particle(VLP)technique,and evaluate their performances.Methods The typical mutation sequence fragments or full length S genes were designed and synthesized according to the genomic information of SARS-CoV-2 variants.Then,they were inserted into the downstream of maturase gene,coat protein and the pac-site of MS2 phage to construct a series of recombi-nant expression vectors.After induced by the prokaryotic expression system,the VLP products were purified through the polyethylenei-mine precipitation,ultrafiltration,nuclease digestion,and gel filtration chromatography.The obtained VLP were validated by the nucle-ic acid electrophoresis,protein electrophoresis,protein concentration determination,and fluorescence PCR,and their performances such as nucleic acid residue and stability were also evaluated.Results A total of 10 kinds of VLP containing the targeted sequences of the gene to be tested were prepared.The length of the foreign sequence wrapped in them ranged from 297 bp to 3 822 bp,which could be combined into a variety of QC materials for the mutation detection of different SARS-CoV-2 variants.The prepared VLP QC materials could not be effectively amplified without nucleic acid extraction or reverse transcription steps during the routine nucleic acid detection.The simulated QC samples remained stable after repeated freeze-thaw cycles.They could be stored stably for 2 months at 25 ℃ and 4 weeks at 37 ℃.Conclusion The established preparation and combined purification process of VLP QC materials can encapsulate vari-ous exogenous nucleic acid sequences with different lengths into the viral coat protein to form VLP,with high production efficiency.The VLP QC products prepared by the above process have stable performance and almost no residual exogenous nucleic acid,which can ef-fectively meet clinical requirements and ensure the quality of laboratory testing.

Objective To explore the compatibility law of amenorrhea and commonly used local herbs in southwest China using hypergraph;To provide drug choice for the clinical treatment of modern TCM amenorrhea and promote the development and utilization of local Chinese materia medica resources.Methods In this study,the data of prescriptions for the treatment of amenorrhea in Southwest China were used as the data source.By constructing formulas related to amenorrhea-hypergraph(AFR-HG),the topological structure of AFR-HG was analyzed,and the core subnet was extracted according to the node weighted hypercentrality.Based on the sub-network AFR-HG-p1 extracted from the top 20 kinds of Chinese materia medica in AFR-HG,the Kumar algorithm was used to divide the efficacy community network.Results A total of 123 amenorrhea prescriptions were included in this study.Angelicae Sinensis Radix,Carthami Flos,Cyperi Rhizoma,Chuanxiong Rhizoma and other drugs with the efficacy of promoting blood circulation and removing blood stasis,soothing liver and regulating qi,and warming and tonifying were the main drugs with high frequency.Three layers of core subnets were extracted layer by layer through weighted hyper-centrality sorting.The first layer contained Angelicae Sinensis Radix,Chuanxiong Rhizoma,Hyperici Sampsonii Herba,etc.;the second layer of drugs were mainly Lycopi Herba,Rubiae Radix et Rhizoma,Bombycis Feculae,etc.;the third layer of drugs were mainly Ginseng Radix et Rhizoma Rubra,Moutan Cortex,Sargentodoxae Caulis and other drugs;based on the top 20 node overdose drugs,community drugs were obtained through community detection:the first community subnet was Armeniacae Semen Amarum,Draconis Sanguis,Corydalis Rhizoma,etc.,the second community subnet was Rubiae Radix et Rhizoma,Rosae Chinensis Flos,Hyperici Sampsonii Herba,etc.,and the third community subnet was Akebiae Caulis,Homalomenae Rhizoma,Bombycis Feculae,etc.Conclusion In prescriptions of amenorrhea in Southwest China,the treatment principles are basically consistent with modern clinical practice.In addition to commonly used drugs,local herbal medicines and similar medicines are also common.It is of great value to explore the rules of prescriptions for the development and utilization of Chinese materia medica resources.

Objective Based on the finite element simulation analysis of the patient's torso-spine model and combined with theoretical calculation data,an individualized scoliosis orthosis was designed,and the effectiveness of the orthosis was verified through three-dimensional(3D)printing.Methods A patient with idiopathic scoliosis was chosen as the research object.Reverse engineering technology and computer-aided technology were used to establish the torso-spine model of the patient.The finite element method was used to analyze the model,and the optimal position and magnitude of the corrective force were determined by combining literature theory calculation.Based on this,an orthosis was designed.To verify the orthopedic effect,the patient's X-rays before and after wearing the orthosis were compared and evaluated,and the patient was followed up 6 months later.Results The optimal position and magnitude of the initial corrective force were determined through theoretical calculations and finite element simulations.Specifically,a 62.95 N corrective force applied to the L3 vertebral body and the left posterior region corresponding to the upper and lower intervertebral discs in the patient's lateral curvature segment of the spine to achieve the optimal orthopedic effect.On this basis,the orthosis was designed,followed by relevant experimental tests before and after wearing the designed orthosis.By comparing X-ray images of the patient before and after wearing the orthosis and combining them with follow-up data six months later,the optimized design of the orthosis met the expected clinical requirements for orthopedic effects.Conclusions The design of orthosis needs to be personalized according to the specific situation of patients with scoliosis.This study takes a patient with idiopathic scoliosis as the research object,providing new ideas and methods for the design of orthosis for patients with idiopathic scoliosis.

Objective To prepare a variety of quality control(QC)materials for SARS-CoV-2 variants as an addition to the conven-tional SARS-CoV-2 nucleic acid QC products for the laboratory detection of mutant strains by optimizing the preparation and purification process of MS2 phage virus-like particle(VLP)technique,and evaluate their performances.Methods The typical mutation sequence fragments or full length S genes were designed and synthesized according to the genomic information of SARS-CoV-2 variants.Then,they were inserted into the downstream of maturase gene,coat protein and the pac-site of MS2 phage to construct a series of recombi-nant expression vectors.After induced by the prokaryotic expression system,the VLP products were purified through the polyethylenei-mine precipitation,ultrafiltration,nuclease digestion,and gel filtration chromatography.The obtained VLP were validated by the nucle-ic acid electrophoresis,protein electrophoresis,protein concentration determination,and fluorescence PCR,and their performances such as nucleic acid residue and stability were also evaluated.Results A total of 10 kinds of VLP containing the targeted sequences of the gene to be tested were prepared.The length of the foreign sequence wrapped in them ranged from 297 bp to 3 822 bp,which could be combined into a variety of QC materials for the mutation detection of different SARS-CoV-2 variants.The prepared VLP QC materials could not be effectively amplified without nucleic acid extraction or reverse transcription steps during the routine nucleic acid detection.The simulated QC samples remained stable after repeated freeze-thaw cycles.They could be stored stably for 2 months at 25 ℃ and 4 weeks at 37 ℃.Conclusion The established preparation and combined purification process of VLP QC materials can encapsulate vari-ous exogenous nucleic acid sequences with different lengths into the viral coat protein to form VLP,with high production efficiency.The VLP QC products prepared by the above process have stable performance and almost no residual exogenous nucleic acid,which can ef-fectively meet clinical requirements and ensure the quality of laboratory testing.

Objective:To evaluate the efficacy of an etoposide (Vp16) -intensified conditioning regimen in allogeneic hematopoietic stem cell transplantation (allo-HSCT) for the treatment of relapsed/refractory acute myeloid leukemia (AML).Method:A retrospective analysis was conducted on the clinical data of 27 recipients with relapsed/refractory AML who underwent allo-HSCT using a Vp16-intensified conditioning regimen at Aerospace Center Hospital from January 2019 to January 2022. Transplantation-related complications and treatment outcomes were observed. Kaplan-Meier survival analysis was used to assess the overall survival (OS) and disease-free survival (DFS) rates.Result:Among the 27 recipients, there were 14 males and 13 females, with a median age of 41 years (range: 12~55 years). Except for one recipient who experienced primary graft failure, the remaining 26 recipients achieved hematopoietic reconstitution. The median neutrophil and platelet engraftment times were 13 days (range: 9~20 days) and 13.5 days (range: 11~33 days), respectively. Regimen-related toxicity (RRT) was mainly gastrointestinal toxicity and oral mucositis, and no deaths were attributed to RRT. A total of 12 recipients (44.44%) developed acute graft-versus-host disease (aGVHD), of whom 3 cases (11.11%) had grade III~IV aGVHD. Chronic GVHD (cGVHD) occurred in 13 recipients (48.15%), including 8 cases (29.63%) of extensive cGVHD. The median follow-up time after transplantation was 17 months (range: 1~48 months). Fifteen recipients (55.56%) survived without disease, while 12 recipients (44.44%) died— 9 due to relapse and 3 due to transplant-related complications. The 1-year overall survival and DFS rates were 74.07% and 59.26%, respectively; the 2-year overall survival and DFS rates were 59.26% and 55.56%, respectively. The 2-year relapse rate and transplant-related mortality (TRM) were 33.33% and 11.11%, respectively.Conclusion:The Vp16-intensified conditioning regimen in allo-HSCT appears to be a viable treatment option for patients with relapsed/refractory AML, offering favorable efficacy and manageable safety.

Objective:To evaluate the clinical features and risk factors of anastomotic leakage (AL) in patients with locally advanced rectal cancer (LARC) receiving neoadjuvant chemoradiotherapy (nCRT) followed by laparoscopic radical resection and proctocol ostomy.Method:Clinicla data of LARC patients receiving neoadjuvant chemoradiotherapy followed by laparoscopic radical resection and proctocol ostomy admitted to Peking Union Medical College Hospital between Jan 2019 and Oct 2023 was enrolled. According to the occurrence of AL, patients were divided into AL group and non-AL group.Results:After propersity matching score(PSM), there were 40 patients (33.4%) and 80 patients (66.6%) in the AL and non-AL group, respectively. The first-onset symptoms of AL were abnormal character and color of the drainage (23 cases, 57.5%) and fever (14 cases, 35.0%). About 82.5% of the AL were graded as B,and all 36 patients (90.0%) were managed consveratively by fully drainage anti-infection therapy. Logistic regression analysis indicated that tumor circumferential range more than 1/2 cycle ( OR=5.95, 95% CI:2.12-1.67, P=0.004), male ( OR=4.28, 95% CI:1.22-15.00, P=0.023) and high-ligation of Inferior mesenteric artery ( OR=8.08, 95% CI:1.86-37.78, P=0.006) were independent risk factors of AL. Conclusions:In this series, grade-B AL ranks the top of the incidence, and all were cured by conservative therapy. Special attention should be paid to those patients with the characteristics of male, tumor circumferential range more than 1/2 cycle, and high-ligation of inferior mesenteric artery.