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.

PURPOSE: End-stage knee osteoarthritis (OA) patients are the primary candidates for total knee arthroplasty (TKA). However, most morphological refinements of TKA prosthesis are based on anatomical data from the knees of healthy individuals. This study aimed to determine whether differences exist in key bony morphological characteristics of the distal femur and proximal tibia between osteoarthritic knees and healthy knees. METHODS: This was a retrospective cross-sectional observational study with a case-control design. Patients who were aged ≥ 50 years, had no history of trauma, fracture, or surgery in the studied knee, and had no obvious knee flexion contracture were included in this study by CT scans. Patients who met the American College of Rheumatology clinical criteria for knee OA were included in the study group. Kellgren-Lawrence grade III or IV knees were studied (for bilateral cases, the more severely affected knee was chosen). Patients who presented with unilateral knee pain or trauma were included in the control group, with CT scans from the opposite (asymptomatic) knee used for analyzing. The studied knee had a Kellgren-Lawrence grade of 0 or I and showed no abnormalities upon physical examination. Archived knee CT scans from 160 patients were divided into 2 groups: the study group (80 moderate-to-severe OA knees) and the control group (80 healthy knees). After 3-dimensional reconstruction and virtual cutting using a CT workstation, 13 morphological parameters of the distal femur and proximal tibia were compared between the 2 groups using independent-samples t-tests. RESULTS: No significant group differences in the femoral anteroposterior dimension (p = 0.797), height of the lateral femoral condyle (p = 0.268), posterior condylar angle (p = 0.240), tibial anteroposterior dimension (p = 0.536), or tibial lateral anteroposterior dimension (p = 0.702) were observed. However, the femoral mediolateral dimension (p = 0.002), distal femoral aspect ratio (femoral mediolateral dimension/femoral anteroposterior dimension) (p < 0.001), height of the femoral trochlear groove (p < 0.001), height of the medial femoral condyle (p < 0.001), tibial mediolateral dimension (p = 0.001), proximal tibial aspect ratio (tibial mediolateral dimension/tibial anteroposterior dimension) (p = 0.004), tibial medial anteroposterior dimension (p = 0.005), and tibial asymmetry ratio (tibial medial anteroposterior dimension/tibial lateral anteroposterior dimension) (p = 0.006) were all significantly greater in the study group. CONCLUSION Knees with moderate-to-severe OA are significantly wider than healthy knees, and OA is a risk factor for increased tibial platform asymmetry. When refining the morphological parameters of TKA prostheses, the specific bony morphological characteristics of OA knees should be taken into account to reduce the potential risk of femoral or tibial component underhang and facilitate optimal balance between tibial component fit and rotational alignment.
Humans ; Osteoarthritis, Knee/pathology* ; Male ; Female ; Cross-Sectional Studies ; Retrospective Studies ; Arthroplasty, Replacement, Knee ; Middle Aged ; Aged ; Case-Control Studies ; Prosthesis Design ; Knee Prosthesis ; Femur/anatomy & histology* ; Tibia/anatomy & histology* ; Tomography, X-Ray Computed ; Knee Joint/diagnostic imaging*

Knee osteoarthritis(KOA)and osteoporosis(OP)"co-morbidity"is a chronic progressive disease,the incidence of which is higher in recent years.Exosomes have intercellular messenger functions,which play an important role in the development of KOA and OP"co-morbidity".This article recognized the"co-morbidity"between KOA and OP from the perspective of modern medicine and the"tendon","bone","liver"and"kidney"in TCM theories,systematically reviewed the indirect regulation of KOA and OP"co-morbidity"through exosomes,and explored the possible mechanisms of exosome-based treatment of KOA and OP"co-morbidity"through Chinese materia medica in terms of inflammation,MAPK pathway,bone remodeling and cartilage metabolism,and mitochondrial autophagy,with the aim to investigate the possible mechanisms of KOA and OP"co-morbidity",and provide new ideas for the treatment of KOA and OP"co-morbidity".

Objective:To investigate the role of heme oxygenase-1(HO-1)regulating autophagy and its impact on the intracel-lular growth of Mycobacterium abscessus(M.abs).Methods:The standard strain of M.abs ATCC19977 was used to stimulate mouse RAW264.7 macrophages with a specified multiple of infection(MOI)for a specified time.Western blot analysis was performed to detect the expression levels of HO-1 protein and autophagy related proteins Atg5,LC3Ⅱ and p62.Macrophages were pretreated with HO-1 specific inducer CoPP and enzyme activity inhibitor SnPP for 12 h,and incubated with M.abs for 2 h.Amikacin removed extra-cellular bacteria and continued to culture until the specified time,and cell activity was detected by CCK-8 method.Western blot and LysoTracker Red were used to detect the regulatory relationship between HO-1 protein and autophagy related proteins.Bacterial survival and TNF-α secretion levels were detected by colony count and ELISA.Results:Compared with the control group,M.abs could induce increased expression of HO-1,Atg5,LC3Ⅱ and p62 proteins.Over-expression and inhibition of HO-1 were found to effectively regu-late the expressions of Atg5,LC3Ⅱ and p62 induced by M.abs.LysoTracker Red,colony count,and ELISA results demonstrated that SnPP promoted the increasement of intracellular lysosomes,significantly inhibited M.abs intracellular proliferation,and reduced TNF-α secretion.Conclusion:Inhibition of HO-1 can enhance the autophagy flow induced by M.abs and reduce the intracellular growth of M.abs,which provides scientific basis for the development of targeted drugs targeting HO-1.

Knee osteoarthritis(KOA)and osteoporosis(OP)"co-morbidity"is a chronic progressive disease,the incidence of which is higher in recent years.Exosomes have intercellular messenger functions,which play an important role in the development of KOA and OP"co-morbidity".This article recognized the"co-morbidity"between KOA and OP from the perspective of modern medicine and the"tendon","bone","liver"and"kidney"in TCM theories,systematically reviewed the indirect regulation of KOA and OP"co-morbidity"through exosomes,and explored the possible mechanisms of exosome-based treatment of KOA and OP"co-morbidity"through Chinese materia medica in terms of inflammation,MAPK pathway,bone remodeling and cartilage metabolism,and mitochondrial autophagy,with the aim to investigate the possible mechanisms of KOA and OP"co-morbidity",and provide new ideas for the treatment of KOA and OP"co-morbidity".

Objective:To investigate the role of heme oxygenase-1(HO-1)regulating autophagy and its impact on the intracel-lular growth of Mycobacterium abscessus(M.abs).Methods:The standard strain of M.abs ATCC19977 was used to stimulate mouse RAW264.7 macrophages with a specified multiple of infection(MOI)for a specified time.Western blot analysis was performed to detect the expression levels of HO-1 protein and autophagy related proteins Atg5,LC3Ⅱ and p62.Macrophages were pretreated with HO-1 specific inducer CoPP and enzyme activity inhibitor SnPP for 12 h,and incubated with M.abs for 2 h.Amikacin removed extra-cellular bacteria and continued to culture until the specified time,and cell activity was detected by CCK-8 method.Western blot and LysoTracker Red were used to detect the regulatory relationship between HO-1 protein and autophagy related proteins.Bacterial survival and TNF-α secretion levels were detected by colony count and ELISA.Results:Compared with the control group,M.abs could induce increased expression of HO-1,Atg5,LC3Ⅱ and p62 proteins.Over-expression and inhibition of HO-1 were found to effectively regu-late the expressions of Atg5,LC3Ⅱ and p62 induced by M.abs.LysoTracker Red,colony count,and ELISA results demonstrated that SnPP promoted the increasement of intracellular lysosomes,significantly inhibited M.abs intracellular proliferation,and reduced TNF-α secretion.Conclusion:Inhibition of HO-1 can enhance the autophagy flow induced by M.abs and reduce the intracellular growth of M.abs,which provides scientific basis for the development of targeted drugs targeting HO-1.

OBJECTIVE To conduct a reevaluation of the systematic review(SR)/meta-analysis on the use of Xianling gubao capsules(XLGBC)for knee osteoarthritis(KOA),and provide evidence-based support for the clinical use of the drugs.METHODS Computerized searches including CNKI,Wanfang Data,VIP,China Biomedical Literature Database,the Cochrane Library,PubMed,Embase and Web of Science were conducted to collect systematic reviews(SR)or meta-analyses of XLGBC for the treatment of KOA from the inception to May 31st,2024.The report quality,methodological quality,risk of bias and evidence quality were assessed using the PRISMA 2020 statement,AMSTAR 2 scale,ROBIS tool and GRADE tool,respectively.A comprehensive quality analysis of the quantitative results from the SR/meta-analysis was also performed.RESULTS A total of five SR/meta-analyses were included.The evaluation results based on the PRISMA 2020 statement showed that one study report was relatively complete(21 points),while four studies had deficiencies(18-20 points).The assessment using the AMSTAR 2 scale indicated that the methodological quality of all five studies was rated as very low.According to the ROBIS tool evaluation,the risk of comprehensive bias in all five studies was classified as high.GRADE tool evaluation revealed that among 49 outcome indicators,5(10.2％)were rated as moderate-quality evidence(10.2％),12 as low-quality evidence(24.5％),and 32 as very low-qualitv evidence(65.3％).The results of comprehensive quality analysis showed that the clinical efficacy,visual analogue scale score,pain relief time,comprehensive indexes of knee joint function,the levels of inflammatory factors and the incidence of adverse events in patients with XLGBC combined with conventional treatment were significantly better than conventional treatment alone(P＜0.05).CONCLUSIONS Compared with conventional treatment,XLGBC in combination with conventional treatment for KOA may have some efficacy and safety advantages.However,due to the low quality of evidence for the outcome indicators included in the studies,the conclusions should be interpreted with caution.

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.

BACKGROUND:Anterior cruciate ligament rupture is one of the injuries that seriously affect life and sports performance,and the anterior cruciate ligament as a stabilizing structure is irreplaceable in maintaining sports performance.In view of its severe injury manifestations,the current treatment for anterior cruciate ligament rupture is a surgery for anterior cruciate ligament reconstruction.Since an anterior cruciate ligament injury can cause loss of mechanoreceptors,which in turn causes a reduction in proprioception,it is a great problem for patients to recover their motor performance. OBJECTIVE:To summarize the effects of proprioceptive training on clinical outcomes after anterior cruciate ligament reconstruction and to explore the underlying mechanisms,thereby providing more references for clinical prevention and treatment. METHODS:A computerized search of PubMed,CNKI,WanFang Data,and VIP databases was conducted for literature(from January 2013 to March 2023)related to proprioceptive training after anterior cruciate ligament reconstruction that improves joint stability and motor balance ability.A total of 108 articles were finally included for review. RESULTS AND CONCLUSION:Proprioceptive training can effectively improve the proprioceptive functions of patients,such as positional sense and kinesthetic sense after anterior cruciate ligament reconstruction,and improve joint stability,postural control and motor ability.The proprioceptive training improves the proprioceptive function through three mechanisms:stimulation of periprosthetic receptors around the knee joint,activation of spinal reflex stimulation,reinforcement of motor control in the brain,and enhancement of cognitive processing.The proprioceptive training may improve proprioceptive functions by activating the potential mechanisms of growth associated protein-43 activity,Piezo2 mechanotransducer,and NT-3/TrkC signaling pathway.Hydrotherapy is the mainstay in the early stages,while neuromuscular training,individual strength training and visual feedback training are prioritized in the middle and late stages.There exists an as-yet-unsegmented reconstructive surgery graft,sex,and a lack of devices or proprioceptive training methods based on the idea of combining multiple sensory stimuli.