OBJECTIVE:Based on different algorithms of machine learning,the prediction model of lumbar disc herniation has become a trend and hot spot in the development of precision medicine.However,there is limited evidence on the reporting quality and methodological quality of prediction models of lumbar disc herniation outcomes using machine learning.This article is aimed to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation by comprehensively analyzing the report quality and risk of bias of previous studies that developed and validated prognosis prediction models based on machine learning through a comprehensive literature search,in order to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation.METHODS:The databases of CNKI,WanFang,VIP,SinOMED,PubMed,Web of Science,Embase,and The Cochrane Library were searched by computer.Studies on the use of machine learning to develop(and/or validate)prognostic prediction models for lumbar disc herniation were collected from the inception of the database to December 31,2023.Two researchers independently screened the literature,extracted data,and assessed the risk of bias of the included studies.The reporting quality and risk of bias of the included studies were assessed by the Multivariable Transparent Reporting of Predictive Models(TRIPOD)statement and the Predictive Model Risk of Bias Assessment Tool(PROBAST).The results of the evaluation were analyzed using descriptive statistics and visual charts.RESULTS:(1)A total of 23 articles were included,and the TRIPOD compliance of each study ranged from 11％to 87％,with a median compliance of 54％.The quality of reporting of titles,detailed descriptions of treatment measures,blinding of predictors,handling of missing data,details of risk stratification,specific procedures for enrollment,model interpretation,and model performance was mostly poor,with TRIPOD adherence rates ranging from 4％to 35％.(2)Of all included studies,61％had a high risk of bias and 39％had an unclear overall risk of bias.The area under the curve,accuracy,sensitivity and specificity were used to evaluate the performance of the model.The areas under the curve of 20 models were reported,ranging from 0.561 to 0.999.Three models reported the accuracy of the model,ranging from 82.07％to 89.65％.(3)Among all included studies,the statistical analysis domain was most often assessed as having a high risk of bias,mainly due to the small number of valid samples,the selection of predictors based on univariate analysis and the lack of calibration and discrimination assessment of the model in the study.CONCLUSION:These results indicate that machine learning can achieve good predictive ability in the development and validation of prognostic models for lumbar disc herniation.The commonly used algorithms include regression algorithm,support vector machine,decision tree,random forest,artificial neural network,naive Bayes and other algorithms.Reasonable algorithms combined with clinical practice can improve the accuracy of prognosis prediction of lumbar disc herniation.However,the reporting and methodological quality of prognosis prediction models based on machine learning are poor,the prediction performance of different models varies greatly,and the generalization and extrapolation of research models are unclear.There is an urgent need to improve the design,implementation and reporting of such studies.To promote the application of machine learning in the clinical practice of lumbar disc herniation prediction models,it is necessary to comprehensively consider various predictors related to the prognosis of the disease before modeling,and strictly follow the relevant standards of PROBAST tool during modeling.

Objective To explore the effect of remote ischemic preconditioning (RIPC) on preoperative heart rate variability in patients with heart valves. Methods Patients scheduled to undergo on-pump cardiac valve surgery in the Department of Cardiovascular Surgery, General Hospital of Northern Theater Command, between January and July 2022 were initially enrolled. Eligible patients were randomly assigned at a 1 : 1 ratio to either the RIPC group or the control group. Relevant indicators of heart rate variability [standard deviation of NN interval (SDNN), standard deviation of mean value of NN interval in every five minutes (SDANN), mean square root of difference between consecutive NN intervals (RMSSD), percentage of adjacent RR interval>50 ms (PNN50), low frequency (LF) component, high frequency (HF) component and LF/HF] at 8 hours in the morning on the surgical day between two groups were compared. Results A total of 118 patients were initially assessed. After screening, 58 patients were excluded, and 60 patients provided written informed consent and were enrolled in the trial, with 30 allocated to the RIPC group and 30 to the control group. Seven patients in the control group and 5 patients in the RIPC group were subsequently excluded due to missing heart rate variability data resulting from cancelled operations. Finally, 23 patients in the control group and 25 patients in the RIPC group were included in the analysis. There was no statistical difference in baseline characteristics between the two groups, and there was no significant difference in heart rate variability 24 hours before intervention (P>0.05). After the intervention measures were taken, the comparison of the results of heart rate variability at 8 hours on the day of operation showed that SDNN and SDANN of patients in the RIPC group were higher than those in the control group, with statistical differences (P<0.05). Conclusion RIPC can stabilize the preoperative heart rate variability of patients undergoing cardiac valve surgery.

OBJECTIVE:Based on different algorithms of machine learning,the prediction model of lumbar disc herniation has become a trend and hot spot in the development of precision medicine.However,there is limited evidence on the reporting quality and methodological quality of prediction models of lumbar disc herniation outcomes using machine learning.This article is aimed to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation by comprehensively analyzing the report quality and risk of bias of previous studies that developed and validated prognosis prediction models based on machine learning through a comprehensive literature search,in order to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation.METHODS:The databases of CNKI,WanFang,VIP,SinOMED,PubMed,Web of Science,Embase,and The Cochrane Library were searched by computer.Studies on the use of machine learning to develop(and/or validate)prognostic prediction models for lumbar disc herniation were collected from the inception of the database to December 31,2023.Two researchers independently screened the literature,extracted data,and assessed the risk of bias of the included studies.The reporting quality and risk of bias of the included studies were assessed by the Multivariable Transparent Reporting of Predictive Models(TRIPOD)statement and the Predictive Model Risk of Bias Assessment Tool(PROBAST).The results of the evaluation were analyzed using descriptive statistics and visual charts.RESULTS:(1)A total of 23 articles were included,and the TRIPOD compliance of each study ranged from 11％to 87％,with a median compliance of 54％.The quality of reporting of titles,detailed descriptions of treatment measures,blinding of predictors,handling of missing data,details of risk stratification,specific procedures for enrollment,model interpretation,and model performance was mostly poor,with TRIPOD adherence rates ranging from 4％to 35％.(2)Of all included studies,61％had a high risk of bias and 39％had an unclear overall risk of bias.The area under the curve,accuracy,sensitivity and specificity were used to evaluate the performance of the model.The areas under the curve of 20 models were reported,ranging from 0.561 to 0.999.Three models reported the accuracy of the model,ranging from 82.07％to 89.65％.(3)Among all included studies,the statistical analysis domain was most often assessed as having a high risk of bias,mainly due to the small number of valid samples,the selection of predictors based on univariate analysis and the lack of calibration and discrimination assessment of the model in the study.CONCLUSION:These results indicate that machine learning can achieve good predictive ability in the development and validation of prognostic models for lumbar disc herniation.The commonly used algorithms include regression algorithm,support vector machine,decision tree,random forest,artificial neural network,naive Bayes and other algorithms.Reasonable algorithms combined with clinical practice can improve the accuracy of prognosis prediction of lumbar disc herniation.However,the reporting and methodological quality of prognosis prediction models based on machine learning are poor,the prediction performance of different models varies greatly,and the generalization and extrapolation of research models are unclear.There is an urgent need to improve the design,implementation and reporting of such studies.To promote the application of machine learning in the clinical practice of lumbar disc herniation prediction models,it is necessary to comprehensively consider various predictors related to the prognosis of the disease before modeling,and strictly follow the relevant standards of PROBAST tool during modeling.

Objective To compare the mid- and long-term clinical results of mitral valve plasty (MVP) and mitral valve replacement (MVR) in the treatment of functional mitral regurgitation (FMR). Methods Patients with FMR who underwent surgical treatment in the Department of Cardiovascular Surgery of the General Hospital of Northern Theater Command from 2012 to 2021 were collected. The patients who underwent MVP were divided into a MVP group, and those who underwent MVR into a MVR group. The clinical data and mid-term follow-up efficacy of two groups were compared. Results Finally 236 patients were included. There were 100 patients in the MVP group, including 53 males and 47 females, with an average age of (61.80±8.03) years. There were 136 patients in the MVR group, including 72 males and 64 females, with an average age of (61.29±8.97) years. There was no statistical difference in baseline data between the two groups (P＞0.05). There was no statistical difference between the two groups in the extracorporeal circulation time, aortic occlusion time, postoperative hospital and ICU stay, intraoperative blood loss, or hospitalization death (P＞0.05), but the time of mechanical ventilation in the MVP group was significantly shorter than that in the MVR group (P=0.022). The total follow-up rate was 100.0%, the longest follow-up was 10 years, and the average follow-up time was (3.60±2.55) years. There were statistical differences in the left atrial diameter, left ventricular end-diastolic diameter, left ventricular end-systolic diameter and cardiac function between the two groups compared with those before surgery (P<0.05). The postoperative left ventricular ejection fraction in the MVP group was statistically higher than that before surgery (P=0.002), but there was no statistical difference in the MVR group before and after surgery (P=0.658). The left atrial diameter in the MVP group was reduced compared with the MVR group (P=0.026). The recurrence rate of mitral regurgitation in the MVP group was higher than that in the MVR group, and the difference was statistically significant (10.0% vs. 1.5%, P=0.003). There were 14 deaths in the MVP group and 19 in the MVR group. The cumulative survival rate (P=0.605) and cardiovascular events-free survival rate (P=0.875) were not statistically significant between the two groups by Kaplan-Meier survival analysis. Conclusion The safety, and mid- and long-term clinical efficacy of MVP in the treatment of FMR patients are better than MVR, and the left atrial and left ventricular diameters are statistically reduced, and cardiac function is statistically improved. However, the surgeon needs to be well aware of the indications for the MVP procedure to reduce the rate of mitral regurgitation recurrence.

Objective To evaluate the efficacy of a combined immunosuppression regimen in modulating rejection in genetically modified pig-to-macaque xenogeneic heart transplantation.Methods Two xenogeneic heart transplantation models were constructed using genetically modified pigs and macaques.Dynamic monitoring of recipient peripheral blood immune parameters and observation of graft pathological changes were performed.Results Regimen 1,featuring B-cell depletion,T-cell inhibition,and C3 complement suppression,reduced lymphocyte levels but failed to control acute humoral rejection and macrophage infiltration.Regimen 2,adding C5 complement inhibition and interleukin-6 inhibition to Regimen 1,more effectively lowered lymphocyte levels,inhibited acute humoral rejection and complement activation,and decreased antibody deposition.However,a late-phase cytokine storm and residual T cells emerged.Conclusions Regimen 2 reduces the hyperacute and acute rejection risks through multi-target intervention.Yet,it requires balancing medication complexity and safety.This indicates the need to optimize cellular immune regulation and adjust the plan through dynamic multidimensional monitoring.

Background and Aims:Perihilar cholangiocarcinoma(pCCA)is associated with poor prognosis.Radical resection remains the mainstay of treatment;however,high recurrence rates and limited overall survival(OS)after surgery.Metabolic syndrome(MetS)has been linked to unfavorable outcomes in various malignancies,but its impact on postoperative outcomes in pCCA is unclear.This study aimed to evaluate the influence of MetS on perioperative and long-term outcomes in patients undergoing radical resection for pCCA.Methods:A retrospective analysis was conducted on 223 patients who underwent radical resection for pCCA at the First Affiliated Hospital of Army Medical University between January 2018 and December 2023.Patients were categorized into a MetS group(n=50)and a non-MetS group(n=173)according to diagnostic criteria.Perioperative complications,overall survival(OS),and recurrence-free survival(RFS)were compared between groups.Prognostic factors were identified using multivariate analysis.Results:No significant differences were observed between the two groups regarding median hospital stay,overall complications,or severe complications(all P＞0.05).The 1-,3-,and 5-year OS rates in the MetS group were 62.3％,22.3％,and 0,respectively,compared with 78.2％,39.5％,and 22.0％in the non-MetS group.Corresponding RFS rates were 46.2％,16.9％,and 0 in the MetS group vs.63.8％,29.6％,and 18.8％in the non-MetS group.Median OS and RFS were significantly shorter in the MetS group than in the non-MetS group(15.0 vs.27.0 months;12.0 vs.21.0 months;P=0.021 and P=0.037,respectively).Multivariate analysis identified MetS and major vascular invasion as independent predictors of OS,while MetS,jaundice,R0 resection,and major vascular invasion were independent predictors of RFS(all P＜0.05).Conclusion:MetS is significantly associated with worse long-term survival and higher recurrence risk after radical resection for pCCA.Incorporating MetS into preoperative assessment and postoperative management strategies may help improve patient outcomes.

AIM:To explore the role of stromal interaction molecule 1(STIM1)in the migration,invasion and angiogenesis of salivary adenoid cystic carcinoma(SACC),as well as its molecular mechanism.METHODS:Immu-nohistochemistry and Western blot were used to detect the expression level of STIM1 in human SACC tumor tissues and ad-jacent normal tissues.The TCGA database was analyzed to investigate the relationship between STIM1 expression and sur-vival in patients.A SACC-83 cell line with stable STIM1 overexpression(STIM1-OE)was established and divided into two groups:blank control(STIM1-Vec)group and STIM1-OE group.A nude mouse subcutaneous xenograft tumor model(n=6)was used to detect SACC growth.Transwell chamber assay,scratch test and dorsal root ganglion model were ap-plied to assess SACC migration and invasion.Immunohistochemistry was performed to detect the expression of CD34 and STIM1 in tumor tissues of nude mice.A nude mouse Matrigel plug model and human umbilical vein endothelial cell(HUVEC)tube formation assay were used to evaluate angiogenesis.Enzyme linked immunosorbent assay was employed to detect the levels of vascular endothelial growth factor(VEGF)and epidermal growth factor(EGF)in cell culture supernatants.RT-qPCR and Western blot were performed to detect the mRNA and protein expression levels of c-Myc,ribosomal protein L35(RPL35),ribosomal protein SA(RPSA),mitochondrial ribosomal protein L11(RPL11)and FAU ubiquitin like and ribo-somal protein S30 fusion(FAU).The STIM1-siRNA and RPL35-siRNA were transfected into SACC-83 cells,and the mi-gration,invasion and angiogenesis abilities of the cells were detected using the same methods as above.RESULTS:STIM1 was highly expressed in SACC,and the patients with high STIM1 expression had shorter survival time.In vivo,compared with STIM1-Vec group,STIM1-OE promoted tumor growth.In vitro,the number of migrating and invading SACC cells in STIM1-OE group was significantly increased,and the nerve invasion ability was also significantly en-hanced.Conversely,STIM1-siRNA significantly reduced the migration and invasion abilities of SACC cells.Additional-ly,STIM1-OE significantly promoted the expression of the vascular marker CD34,the secretion of VEGF and EGF,and the results of Matrigel plug and HUVEC tube formation assays indicated that STIM1-OE significantly promoted angiogene-sis.Silencing of RPL35 significantly inhibited SACC migration,invasion,and angiogenesis.RT-qPCR and Western blot results showed that the mRNA levels of RPL35,RPSA,MRPL11 and FAU were significantly increased(P<0.05),and the protein expression levels of STIM1,c-Myc and RPL35 were significantly increased(P<0.01).CONCLUSION:STIM1 drive the migration,invasion and angiogenesis of SACC by activating c-Myc/RPL35-mediated ribosome pathway.

BACKGROUND:SOX5 is an important transcription factor of the SRY-related HMG-box(SOX)family,which plays a key role in regulating the expression of genes related to bone development and remodeling,especially during osteoblast differentiation and chondrocyte maturation,through its unique HMG box DNA structural domains in concert with SOX6 and SOX9.In addition,the expression and activity of SOX5 and its family are regulated by a variety of diseases and different forms of exercise,among other factors,suggesting that SOX5 and its family have the potential to be effective as drugs and therapeutics to ameliorate related diseases in the future.OBJECTIVE:To provide new perspectives for future research on SOX5 and to provide scientific basis for the application of exercise intervention and drug therapy in the prevention and treatment of bone diseases.METHODS:CNKI and PubMed databases were searched for relevant literature published from 2001 to June 2024,and the search terms were"SRY-related HMG-box5,SOX5,Bone"in Chinese and English,respectively.After screening,analysis and summarization,105 articles were included in the final review.RESULTS AND CONCLUSION:(1)Role of SOX5 in bone development:SOX5 is an important member of the SOX family,which plays a central role in the regulation of skeletal development,bone metabolism and cartilage formation.In synergy with SOX6 and SOX9,SOX5 activates gene expression in osteoblasts and chondrocytes by binding to specific DNA sequences to regulate bone formation and bone remodeling.(2)Abnormal expression of SOX5 is closely related to bone and joint diseases such as chondrodysplasia,osteoporosis and osteoarthritis,suggesting that it may be a key regulator of these diseases.Currently,a variety of drugs may be used to treat bone metabolism-related diseases by regulating SOX5 and its family,and upregulation of SOX5 in mesenchymal stem cells may be effective in improving the symptoms of bone metabolism disease patients in bone tissue engineering.(3)Exercise may effectively prevent osteoporosis and related bone diseases by enhancing bone metabolism and promoting osteoblast differentiation and bone density increase.This mechanism of action may be related to the specific regulatory mechanism of SOX5,especially in different types,intensities and durations of exercise need to be further explored and studied.In conclusion,SOX5 has an important regulatory role in bone development,chondrogenesis,and prevention of bone diseases,and its activity is regulated by a variety of factors,while exercise intervention provides a new scientific basis for the treatment of bone diseases.

Objective:To explore more objective detection method for the performance of diagnostic equipment with ultrasound,so as to demonstrate that the subjectivity of the interpretation criteria will affect the results of resolution parameters of detection performance of ultrasonic equipment.Methods:A total of 77 conventional probes of 33 ultrasound equipment of Jiangsu Provincial Hospital were collected and sorted out.The resolution parameters of their performance were tested twice from 2022 to 2023 by the technical personnel of our institute and the tester of Jiangsu Institute of Metrology.The data was described by using the quartiles method.The resolution parameters of performances of ultrasound equipment and probes were paired to conduct Wilcoxon rank sum test,so as to compare the differences in same institute between different years,and in same year between different institute in testing the resolution parameters of performances of ultrasound equipment and probes.Results:For linear array probes,as long as the performance was tested in accordance with the standard method,there was no statistically significant difference in the resolution parameters measured between different institutes and between different times(P>0.05).For the convex array probe,in 2023,the lateral resolution[2(2,2)]of the 70mm target group,and the axial and lateral resolutions[1(1,1)and 3(3,3.25)]of the 120mm target group of our institute were different with the lateral resolution[2(1,2)]of the 70mm target group,and the axial and lateral resolutions[2(2,3)and 2(2,3)]of the 120mm target group of Jiangsu Institute of Metrology,and the differences of them between our institute and Jiangsu Institute of Metrology were significant(Z=-2.887,-2.53,-3.69,P<0.05),respectively.In our institute,the axial and lateral resolutions[1(1,2)and 2.5(2,3)]of the 70mm target group,and the axial resolution[1(1,2)]of the 120mm target group in 2022 were different with the axial and lateral resolutions[1(1,1)and 2(2,2)]of the 70mm target group,and the axial resolution[1(1,1)]of the 120mm target group in 2023,and the differences of them between two years were significant(Z=-3.317,-3.419,-2.982,P<0.05).In Jiangsu Institute of Metrology,the lateral resolutions of the 70mm target group,and the axial resolution[1(1,1)]of the 120mm target group in 2022 year were different with those in 2023 year,and the differences of them were significant(Z=-2.333,-3.051,P<0.05),respectively.Conclusion:The interpretation for lateral resolution of convex array probe in target group with high depth,the difference of subjective interpretation criteria will cause the essential difference of final results.This paper suggested that the key image should be retained when the resolution of the image of target group with high depth of the convex array probe is interpreted.At the later stage,artificial intelligence(AI)-assisted quality control can also be introduced to conduct objective interpretation by computers.

Objective:To analyze the three-dimensional radiographic characteristics of solid variant of odontogenic keratocyst(SOKC)using multi-slice spiral tomography(MSCT).Methods:Clinical records,histopathological reports and MSCT images of 8 patients were retrospectively acquired,radiographic features,including lesion site,size,borders,jaw expansion,internal structures and relationship with surrounding tissues were analyzed.Results:8 cases(4 males and 4 females)aged 37-65 years were included.Among them,4 lesions were located in the maxilla and the other 4 in mandible.Clinically,the lesions manifested as an enlargement of the affected area in the jaw bone,with pain present in 6 cases.On MSCT scans,all lesions showed evident jaw expansion.The boundaries of the lesions were clear in 3 cases,and unclear in 5 cases.4 cases exhibited multilocular radiolucent lesions,while the other 4 cases showed mixed radiolucent/opaque lesions resembling fibro-osseous lesion.The maxilla lesions involved the palate,na-sal cavity,maxillary sinus and orbital floor.All mandible SOKCs were recurrent and infectious,with involvement of the surrounding soft tissue.Conclusion:SOKC exhibits imaging characteristics that differentiate from conventional odontogenic keratocysts.Radio-graphically,it presents as a benign or low-grade malignant solid jaw mass.