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.

AIM:To investigate the mechanism by which exosomes(EXOs)derived from neural stem cells(NSCs)pretreated with astragaloside IV(ASIV)alleviate brain damage in rats after ischemic stroke.METHODS:Rat NSCs were isolated from fetal rats within 24 h of birth,cultured for 3 d,and subsequently treated with ASIV for additional 5 d.The EXOs from untreated NSCs and ASIV-pretreated NSCs(ASIV-EXOs)were isolated via ultracentrifugation of the cell supernatant.These EXOs were characterized using Western blot to detect specific markers such as CD63,tumor sus-ceptibility gene 101(TSG101)and calnexin.Nanoparticle analysis was employed to determine the size,and the morpholo-gy of the EXOs was observed under electron microscope.Six to eight-week-old SD male rats were randomly assigned to 6 groups:sham group,middle cerebral artery occlusion/reperfusion(MCAO/R)model group,edaravone(EDA)treatment(MCAO/R+EDA)group,EXOs treatement(MCAO/R+EXOs)group and ASIV-EXOs treatment(MCAO/R+ASIV-EXOs)group.Tail vein injections were administered within 2 h following the successful establishment of the MCAO/R model.The Zea Longa method was utilized to evaluate neurological deficits,while the TTC method was employed to assess brain infarc-tion.Pathological changes were examined through HE staining,and TUNEL and caspase-1 immunofluorescence double staining were conducted to detect cellular pyroptosis.Serum levels of interleukin-1β(IL-1β)and IL-18 were measured us-ing ELISA,and Western blot was performed to evaluate the expression of caspase-1,nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3),apoptosis-associated speck-like protein containing a caspase recruitment domain(ASC),gasdermin D(GSDMD),and IL-18 proteins in the ischemic area of the rat cerebral cortex across all groups.RE-SULTS:The MCAO/R group exhibited significantly higher neurological deficit scores compared to the sham group(P＜0.01)and lower scores in the administered groups relative to the MCAO/R group(P＜0.05).Cerebral infarction was mark-edly increased in the MCAO/R group compared to the sham group(P＜0.01),whereas the infarction area was reduced in the administered groups compared to the MCAO/R group(P＜0.05).Serum levels of IL-1β and IL-18 were significantly el-evated in the MCAO/R group versus the sham group(P＜0.01)and were lower in the administered groups compared to the MCAO/R group(P＜0.01).Moreover,IL-1β and IL-18 levels in the MCAO/R+ASIV-EXOs group were lower than those in the MCAO/R+EXOs group(P＜0.05).HE staining revealed pronounced sieve-like infarction foci in the ischemic area of the rat cerebral cortex in MCAO/R group,characterized by disorganized neuronal arrangements,reduced or absent Nys-trom's vesicles,shrunken or fragmented nuclei,and numerous red neurons.In contrast,drug-treated groups exhibited milder pathological changes with clearer neuronal structures and a significant reduction in red neuron counts.Immunofluo-rescence double staining indicated a significant increase in double-positive cells in the MCAO/R group compared to the sham group(P＜0.01),with a decrease in double-positive cells in the administered groups relative to the MCAO/R group(P＜0.05)and a further reduction in the MCAO/R+ASIV-EXOs group compared to the MCAO/R+EXOs group(P＜0.05).The expression levels of caspase-1,NLRP3,ASC,IL-18 and GSDMD proteins in the ischemic region of the rat cerebral cortex were significantly reduced in the administered groups compared to the MCAO/R group(P＜0.01),with further re-duction observed in the MCAO/R+ASIV-EXOs group compared to the MCAO/R+EXOs group(P＜0.05).CONCLU-SION:Exosomes derived from ASIV-pretreated NSCs attenuate brain damage in ischemic stroke rats,potentially through a mechanism involving the inhibition of pyroptosis mediated by the NLRP3/caspase-1 pathway.

Malignant melanoma is an extremely aggressive tumor that can be surgically treated in its early stage.In advanced stages,the invasive and proliferative capabilities of melanoma cells continue to increase,and traditional treatment methods such as radiotherapy,chemotherapy,and immunotherapy have limited efficacy,resulting in poor patient prognosis.Due to the presence of mutations in multiple molecular pathways in malignant melanoma,targeted therapy is now regarded as a more viable treatment option for patients with advanced malignant melanoma,with most patients benefiting from it.However,the development of drug resistance to targeted therapy has always been a serious challenge,as the emergence of resistance limits the efficacy.Therefore,it is necessary to explore the mechanism and drug resistance of targeted therapy of malignant melanoma.

Objective To investigate the protective effect of electrical stimulation-induced auditory brainstem response(EABR)monitoring on the cochlear nerve pathway during acoustic neuroma surgery.Methods The data of 36 patients who underwent acoustic neuroma surgery were studied,all surgeries were performed using the middle fossa approach.Among them,18 cases were monitored intraoperatively using EABR monitoring 4 times as the mo-nitoring group,while the other 18 cases underwent surgery without monitoring as the control group.The monito-ring group,preoperatively,there were 7 ears classified as grade A,6 ears as grade B,and 5 ears as grade C.The preoperative pure tone average thresholds(0.5,1.0,2.0,4.0 kHz)were 37.60±16.95 dB HL,and the maximum tumor diameter was 13.76±4.37 mm.The control group,preoperatively,there were 4 ears classified as grade A,7 ears as grade B,and 7 ears as grade C.The preoperative pure tone average was 46.80±22.64 dB HL,and the max-imum tumor diameter was 13.74±4.26 mm.Results In the monitoring group,except for the first monitoring,the V-wave evoked rate was 72.22％(13/18),and for the remaining three times,it was 100.00％(18/18).The mini-mum current stimulation intensity that could evoke the V-wave was 0.5 mA,and the V-wave latency was 3.97±0.17 ms.Follow-up was conducted for both groups of patients within 1 to 3 months postoperatively.In the monito-ring group,there were 7 ears classified as grade A,4 ears as grade B,4 ears as grade C,and 3 ears as grade D.Among them,3 patients experienced hearing loss after surgery,and the postoperative pure tone average was 52.20±38.35 dB HL.In the control group,there was 1 ear classified as grade A,1 ear as grade B,6 ears as grade C,and 10 ears as grade D.Among them,10 patients experienced hearing loss after surgery,and the postoperative pure tone average was 90.90±37.28 dB HL.Conclusion EABR monitoring during the resection of acoustic neuroma not only has positive significance for improving the hearing protection rate of acoustic neuroma surgery,but also assists the surgeons in identifying the cochlear nerve during surgery.The integrity of the auditory nerve pathway is protec-ted to the greatest extent for possible cochlear implanting.

Senile osteoporosis is a growing public health challenge with significant impacts on the daily life of the elderly population as a result of its hidden nature,high prevalence,and high risk of disability.Suitable animal models that simulate senile osteoporosis are crucial for understanding its pathological mechanism and to facilitate the development of anti-osteoporosis drugs and identify new therapeutic targets.This review considers the most commonly used method for creating animal models of senile osteoporosis,analyzes their advantages and limitations,and discusses research progress in animal models in terms of evaluation indicators,to provide references for research using animal models of senile osteoporosis.

Objective To investigate the protective effect of electrical stimulation-induced auditory brainstem response(EABR)monitoring on the cochlear nerve pathway during acoustic neuroma surgery.Methods The data of 36 patients who underwent acoustic neuroma surgery were studied,all surgeries were performed using the middle fossa approach.Among them,18 cases were monitored intraoperatively using EABR monitoring 4 times as the mo-nitoring group,while the other 18 cases underwent surgery without monitoring as the control group.The monito-ring group,preoperatively,there were 7 ears classified as grade A,6 ears as grade B,and 5 ears as grade C.The preoperative pure tone average thresholds(0.5,1.0,2.0,4.0 kHz)were 37.60±16.95 dB HL,and the maximum tumor diameter was 13.76±4.37 mm.The control group,preoperatively,there were 4 ears classified as grade A,7 ears as grade B,and 7 ears as grade C.The preoperative pure tone average was 46.80±22.64 dB HL,and the max-imum tumor diameter was 13.74±4.26 mm.Results In the monitoring group,except for the first monitoring,the V-wave evoked rate was 72.22％(13/18),and for the remaining three times,it was 100.00％(18/18).The mini-mum current stimulation intensity that could evoke the V-wave was 0.5 mA,and the V-wave latency was 3.97±0.17 ms.Follow-up was conducted for both groups of patients within 1 to 3 months postoperatively.In the monito-ring group,there were 7 ears classified as grade A,4 ears as grade B,4 ears as grade C,and 3 ears as grade D.Among them,3 patients experienced hearing loss after surgery,and the postoperative pure tone average was 52.20±38.35 dB HL.In the control group,there was 1 ear classified as grade A,1 ear as grade B,6 ears as grade C,and 10 ears as grade D.Among them,10 patients experienced hearing loss after surgery,and the postoperative pure tone average was 90.90±37.28 dB HL.Conclusion EABR monitoring during the resection of acoustic neuroma not only has positive significance for improving the hearing protection rate of acoustic neuroma surgery,but also assists the surgeons in identifying the cochlear nerve during surgery.The integrity of the auditory nerve pathway is protec-ted to the greatest extent for possible cochlear implanting.

Senile osteoporosis is a growing public health challenge with significant impacts on the daily life of the elderly population as a result of its hidden nature,high prevalence,and high risk of disability.Suitable animal models that simulate senile osteoporosis are crucial for understanding its pathological mechanism and to facilitate the development of anti-osteoporosis drugs and identify new therapeutic targets.This review considers the most commonly used method for creating animal models of senile osteoporosis,analyzes their advantages and limitations,and discusses research progress in animal models in terms of evaluation indicators,to provide references for research using animal models of senile osteoporosis.

AIM:To investigate the mechanism by which exosomes(EXOs)derived from neural stem cells(NSCs)pretreated with astragaloside IV(ASIV)alleviate brain damage in rats after ischemic stroke.METHODS:Rat NSCs were isolated from fetal rats within 24 h of birth,cultured for 3 d,and subsequently treated with ASIV for additional 5 d.The EXOs from untreated NSCs and ASIV-pretreated NSCs(ASIV-EXOs)were isolated via ultracentrifugation of the cell supernatant.These EXOs were characterized using Western blot to detect specific markers such as CD63,tumor sus-ceptibility gene 101(TSG101)and calnexin.Nanoparticle analysis was employed to determine the size,and the morpholo-gy of the EXOs was observed under electron microscope.Six to eight-week-old SD male rats were randomly assigned to 6 groups:sham group,middle cerebral artery occlusion/reperfusion(MCAO/R)model group,edaravone(EDA)treatment(MCAO/R+EDA)group,EXOs treatement(MCAO/R+EXOs)group and ASIV-EXOs treatment(MCAO/R+ASIV-EXOs)group.Tail vein injections were administered within 2 h following the successful establishment of the MCAO/R model.The Zea Longa method was utilized to evaluate neurological deficits,while the TTC method was employed to assess brain infarc-tion.Pathological changes were examined through HE staining,and TUNEL and caspase-1 immunofluorescence double staining were conducted to detect cellular pyroptosis.Serum levels of interleukin-1β(IL-1β)and IL-18 were measured us-ing ELISA,and Western blot was performed to evaluate the expression of caspase-1,nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3),apoptosis-associated speck-like protein containing a caspase recruitment domain(ASC),gasdermin D(GSDMD),and IL-18 proteins in the ischemic area of the rat cerebral cortex across all groups.RE-SULTS:The MCAO/R group exhibited significantly higher neurological deficit scores compared to the sham group(P＜0.01)and lower scores in the administered groups relative to the MCAO/R group(P＜0.05).Cerebral infarction was mark-edly increased in the MCAO/R group compared to the sham group(P＜0.01),whereas the infarction area was reduced in the administered groups compared to the MCAO/R group(P＜0.05).Serum levels of IL-1β and IL-18 were significantly el-evated in the MCAO/R group versus the sham group(P＜0.01)and were lower in the administered groups compared to the MCAO/R group(P＜0.01).Moreover,IL-1β and IL-18 levels in the MCAO/R+ASIV-EXOs group were lower than those in the MCAO/R+EXOs group(P＜0.05).HE staining revealed pronounced sieve-like infarction foci in the ischemic area of the rat cerebral cortex in MCAO/R group,characterized by disorganized neuronal arrangements,reduced or absent Nys-trom's vesicles,shrunken or fragmented nuclei,and numerous red neurons.In contrast,drug-treated groups exhibited milder pathological changes with clearer neuronal structures and a significant reduction in red neuron counts.Immunofluo-rescence double staining indicated a significant increase in double-positive cells in the MCAO/R group compared to the sham group(P＜0.01),with a decrease in double-positive cells in the administered groups relative to the MCAO/R group(P＜0.05)and a further reduction in the MCAO/R+ASIV-EXOs group compared to the MCAO/R+EXOs group(P＜0.05).The expression levels of caspase-1,NLRP3,ASC,IL-18 and GSDMD proteins in the ischemic region of the rat cerebral cortex were significantly reduced in the administered groups compared to the MCAO/R group(P＜0.01),with further re-duction observed in the MCAO/R+ASIV-EXOs group compared to the MCAO/R+EXOs group(P＜0.05).CONCLU-SION:Exosomes derived from ASIV-pretreated NSCs attenuate brain damage in ischemic stroke rats,potentially through a mechanism involving the inhibition of pyroptosis mediated by the NLRP3/caspase-1 pathway.

BACKGROUND:Based on different algorithms of machine learning,how to carry out clinical research on lumbar disc herniation with the help of various algorithmic models has become a trend and hot spot in the development of intelligent medicine at present. OBJECTIVE:To review the characteristics of different algorithmic models of machine learning in the diagnosis and treatment of lumbar disc herniation,and summarize the respective advantages and application strategies of algorithmic models for the same purpose. METHODS:The computer searched PubMed,Web of Science,EMBASE,CNKI,WanFang,VIP and China Biomedical(CBM)databases to extract the relevant articles on machine learning in the diagnosis and treatment of lumbar disc herniation.Finally,96 articles were included for analysis. RESULTS AND CONCLUSION:(1)Different algorithm models of machine learning provide intelligent and accurate application strategies for clinical diagnosis and treatment of lumbar disc herniation.(2)Traditional statistical methods and decision trees in supervised learning are simple and efficient in exploring risk factors and establishing diagnostic and prognostic models.Support vector machine is suitable for small data sets with high-dimensional features.As a nonlinear classifier,it can be applied to the recognition,segmentation and classification of normal or degenerative intervertebral discs,and to establish diagnostic and prognostic models.Ensemble learning can make up for the shortcomings of a single model.It has the ability to deal with high-dimensional data and improve the precision and accuracy of clinical prediction models.Artificial neural network improves the learning ability of the model,and can be applied to intervertebral disc recognition,classification and making clinical prediction models.On the basis of the above uses,deep learning can also optimize images and assist surgical operations.It is the most widely used model with the best performance in the diagnosis and treatment of lumbar disc herniation.The clustering algorithm in unsupervised learning is mainly used for disc segmentation and classification of different herniated segments.However,the clinical application of semi-supervised learning is relatively less.(3)At present,machine learning has certain clinical advantages in the identification and segmentation of lumbar intervertebral discs,classification and grading of the degenerative intervertebral discs,automatic clinical diagnosis and classification,construction of the clinical predictive model and auxiliary operation.(4)In recent years,the research strategy of machine learning has changed to the neural network and deep learning,and the deep learning algorithm with stronger learning ability will be the key to realizing intelligent medical treatment in the future.