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.

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".

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".

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.

Objective:To provide references for the application of finite element model in the study of cervical vertebra by statistically analysing the frequency, numerical value, properties, and boundary setting of the finite element model and the corresponding material features as well as boundary settings in the literature.Methods:The literature on cervical vertebra-related finite element models was collected from CNKI, Wanfang, VIP, PubMed, Web of Science, and Embase databases from January 2013 to December 2023. The quality assessment was followed by manual screening. The data sources, application classification, material properties (Young’s modulus and Poisson’s ratio), and boundary conditions of cervical vertebra, cervical intervertebral, and cervical ligaments were statistically analyzed.Results:A total of 102 papers were included. The finite element models of the cervical vertebra were derived from medical image reconstruction modeling techniques, predominantly CT plain scan and magnetic resonance imaging. Among the 102 cervical vertebra models, the C3-C7 (lower cervical segment) model appeared with the highest frequency (19). The Young’s modulus of the cortical bone, cancellous bone, and posterior structure of cervical vertebrae were set at about 12 000 or 10 000, 440, and 3 600 MPa, respectively, and the Poisson’s ratios were mainly set at about 0.29 or 0.30, 0.29, and 0.29. The Young’s modulus of the cervical intervertebral disc endplate, nucleus pulposus, and annulus fibrosus were concentrated around 500 or 2 000, 1, and 100 MPa, respectively, and the Poisson’s ratios were set at about 0.40, 0.50, and 0.40, respectively. The Young’s modulus of the anterior longitudinal ligament, posterior longitudinal ligament, transverse ligament, ligamentum flavum, interspinous ligament, capsular ligament, and articular cartilage of the cervical spine were set around 30, 20, 20, 6-10, 4-8, 10 or 20, 10 MPa, and the Poisson’s ratios were set at aoubt 0.30, 0.30, 0.30, 0.30, 0.30, 0.40, and 0.30, respectively. The Young’s modulus of the upper cervical interdental ligament, lamina, cruciate ligament, nuchal ligament, and pterygoid ligament were set at about 10, 10, 10 or 20, 20, and 5 MPa, respectively, and the Poisson’s ratios were set at about 0.30. Head weight settings were more common at 50, 74, and 100 N.Conclusions:The finite element model of the cervical vertebra has great value in the study of cervical spondylosis, but further optimization is still needed in the assignment of material properties, mesh division, and model verification to improve the accuracy and clinical applicability of the model.

Objective:To explore the application effect of an intelligent teaching robot system of lifting manipulation in cervical spine manipulation teaching.Methods:60 doctors were randomly divided into an experimental group ( n = 30) and a control group ( n = 30). The control group was taught by a certified chief physician using a combination of "PowerPoint presentations, video demonstrations, and operation demonstrations" . Each part is 5 min. The experimental group was taught by the intelligent teaching robot system with a spinning technique. The teaching time is 15 min for both groups. At the end of the two teaching sessions, the two groups were trained five times under different BMIs and passed the system assessment. The qualified rates of pre-traction force, lifting and pulling force, maximum force, pre-traction time, lifting and pulling time, rotation amplitude, and pitch amplitude were compared between the two groups. Results:In normal, there was significant differences between the qualified rates of pre-traction force, lifting and pulling force, maximum force, pre-traction time, lifting and pulling time, rotation amplitude, and pitch amplitude in two groups (all P<0.05). For overweight people, there were significant differences in pre-traction force, pulling force, maximum force, and rotation amplitude (all P <0.05), while there were no significant differences in pre-traction time, pulling time, or pitching amplitude (all P >0.05). In obesity, there were significant differences in pre-traction force, lifting and pulling force, maximum force, and pitch amplitude (all P <0.05), but no significant differences in pre-traction time, lifting and pulling time, or rotation amplitude (all P >0.05). Conclusions:The proposed system can improve the pass rate of spinning manipulation, especially by effectively controlling the pre-traction force, pulling force, and maximum force.

Objective:To explore the application of compound Huangbai solution sitz bath in patients after surgery for perianal abscess.Methods:A convenient sampling method was used to select 100 patients with perianal abscess who received surgical treatment in Huai'an First Hospital Affiliated to Nanjing Medical University Nanjing Medical University from January 2020 to December 2021. Patients admitted from January to December 2020 and January to December 2021 were included in the control group (50 cases) and the observation group (50 cases), respectively. The control group was given warm water sitz bath, while the observation group was given compound Huangbai solution sitz bath. The clinical curative effects, wound edema, granulation growth, wound pain, exudation, recovery of anal function and inflammatory reaction were compared between the two groups.Results:After 7 days of intervention, the total effective rate of the observation group was higher than that of the control group, and the difference was statistically significant ( P<0.05). The CRP levels of wound edema and granulation growth, wound pain, exudate and Wexner scores, and CRP levels were lower than those before and 3 days after intervention, and the observation group was lower than that of the control group after 7 days of intervention, and the differences were statistically significant ( P<0.05) . Conclusions:Compound Huangbai solution sitz bath can effectively promote wound healing and anal function improvement of patients after perianal abscess operation, reduce the inflammatory response of patients, and then improve the therapeutic effect.

Objective? To develop an effective and practical palliative care quality indicators for cancer hospital, to provide basis for standardizing palliative care and to realize the systematization and standardization of palliative care quality evaluation in cancer hospitals. Methods? Based on "constructure-process-outcome"quality paradigm, a palliative care quality evaluation system for cancer hospital was constructed preliminarily. The system was finally confirmed by two-round Delphi expert consultation. The reliability and representativeness of expert advice were tested by using the indicators of concentration, coordination, positive coefficient and authority coefficient of expert advice. Results? Totally 19 experts in palliative care were involved in the study. The consultation response rate was 95% for round one, and 100% for round two. The authority coefficient was 0.82, and the Kendal's coefficient of concordance was 0.395 for round one and 0.425 for round two. The final evaluation system contains 3 domains, 14 subdimensions, and 45 items. Conclusions? The consensus of experts is reliable, which can be confirmed from involvement and authority of experts. The final evaluation system states distinguish features of palliative care.

Objective To explore the effects of multidisciplinary teamwork continuity of care for community-dwelling patients with advanced renal cell carcinoma treated with targeted drugs.Methods A total of 80 patients with stage IV renal cell carcinoma treated in our hospital from February 2014 to February 2017 were enrolled using convenience sampling method,and were randomly divided into the experimental group and the control group using random number table,with 40 cases in each group.Both groups were given routine nursing care,and multidisciplinary teamwork continuity of care was adopted in the experimental group additionally.Results One month after intervention,the patients' score of medication compliance questionnaire in the experimental group was significantly higher than that in the control group(P＜0.05);three months after intervention,the quality of life(QLQ-C30) score of the experimental group was significantly improved than that of the control group(P＜0.05),and the number of rehospitalization was significantly less than that in the control group(P＜0.05).The number and severity of adverse effects in the experimental group were lower than those in the control group,and no case of stopping medication or decreasing doses occurred.Conclusion The multidisciplinary teamwork continuity of care model can enhance health status of community-dwelling patients,improve medication compliance and quality of life,and reduce readmission.