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: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 evaluate the clinical efficacy and safety of sulbactam-durlobactam in the treatment of pulmonary infection caused by extensively drug-resistant Acinetobacter baumannii (XDR-AB) after liver transplantation. Methods A retrospective analysis was performed on the data of 3 liver transplant recipients admitted to the First Affiliated Hospital of Xi'an Jiaotong University from May to December 2025, who developed postoperative XDR-AB pulmonary infection and received sulbactam-durlobactam-based anti-infective therapy. Clinical data, clinical efficacy, microbiological response, safety and outcomes were analyzed. Results All isolated strains were XDR-AB producing OXA-23 carbapenemase, and in vitro antimicrobial susceptibility testing showed sensitivity to sulbactam-durlobactam. After treatment with sulbactam-durlobactam, all 3 recipients achieved clinical cure and microbiological eradication, with a treatment course of 6-8 days and pathogen clearance time of 3-6 days. Septic shock was effectively controlled in all recipients, who were successfully weaned from mechanical ventilation, and oxygenation index and organ function scores were significantly improved. No definite nephrotoxicity or other severe adverse reactions related to sulbactam-durlobactam were observed during treatment, and the 30-day all-cause fatality was 0. Two critically ill recipients achieved rapid microbiological clearance after combined nebulized phage therapy. Conclusions Sulbactam-durlobactam-based regimen shows favorable efficacy and safety in liver transplant recipients with postoperative XDR-AB pulmonary infection, and has a promising clinical application prospect.

Osteonecrosis of femoral head （ONFH） is a disease that causes osteocyte death due to interruption of blood supply of the femoral head， which may cause symptoms such as joint movement disorders， pain， and even femoral head collapse. Currently， the commonly used methods for treating ONFH in clinical practice are accompanied by problems such as long-term side effects， inaccurate efficacy， technical limitations， and complication risks. Traditional Chinese medicine （TCM） has shown unique advantages of holistic regulation， mild side effects， and symptom alleviation. A review of the related literature shows that Salviae Miltiorrhizae Radix et Rhizoma， as a representative Chinese herbal medicine for activating blood and resolving stasis， has the effects of activating blood， resolving stasis， dredging meridians， and relieving pain. Its active ingredients （such as salvianolic acid B， tanshinone Ⅱ_A， and tanshinone Ⅰ） interfere with bone metabolism balance， osteogenesis and differentiation， and improve bone microcirculation and bone microstructure. Salviae Miltiorrhizae Radix et Rhizoma is often combined with the herbal medicines with the effects of tonifying the liver and spleen or activing blood to form herb pairs （such as Salviae Miltiorrhizae Radix et Rhizoma-Angelicae Sinensis Radix， Salviae Miltiorrhizae Radix et Rhizoma-Chuanxiong Rhizoma， and Salviae Miltiorrhizae Radix et Rhizoma-Drynariae Rhizoma）， which enhances the efficacy through synergistic effects. In the application of TCM compound formulas， Bushen Huoxue prescription， Bushen Huoxue capsules， Gubi Tongxiao granules， and Shenggu Zaizao pills can regulate signaling pathways such as Wnt/β-catenin， Hedgehog， Notch， transforming growth factor（TGF）-β₁/Smads， and mitogen-activated protein kinase （MAPK） through multiple targets to significantly improve bone metabolism and hip joint function， playing an important role in preventing and treating ONFH. Through a review of available studies， this paper systematically explains the outstanding advantages of the active ingredients， herb pairs， and compound formulas of Salviae miltiorrhizae Radix et Rhizoma in the prevention and treatment of ONFH. The mechanisms may be related to factors such as promoting osteoblast generation and inhibiting osteoclast formation， increasing osteogenic differentiation， promoting angiogenesis， increasing bone density， inhibiting inflammatory response， and regulating signaling pathways. In the future， modern technology can be employed to optimize dosage forms， and high-quality clinical research should be conducted to further clarify its mechanism of action and promote the precise application of TCM. This review aims to provide more thinking directions for the application of Salviae miltiorrhizae Radix et Rhizoma in preventing and treating ONFH.

ObjectiveTo evaluate the effects of Tongnaoyin on the blood-brain barrier status and neurological impairment in acute ischemic stroke （AIS） patients with the syndrome of phlegm-stasis blocking collaterals by dynamic contrast-enhanced magnetic resonance imaging （DCE-MRI）. MethodsA total of 63 patients diagnosed with AIS in the Jiangsu Province Hospital of Chinese Medicine from October 2022 to December 2023 were enrolled in this study. According to random number table method，the patients were assigned into a control group （32 cases） and an observation group （31 cases）. The control group received conventional Western medical treatment，and the observation group took 200 mL Tongnaoyin after meals，twice a day from day 2 of admission on the basis of the treatment in the control group. After 7 days of treatment，the patients were examined by DCE-MRI. The baseline data for two groups of patients before treatment were compared. The National Institute of Health Stroke Scale （NIHSS） score and modified Rankin Scale （mRS） score were recorded before treatment and after 90 days of treatment for both groups. The rKtrans，rKep，and rVe values were obtained from the region of interest （ROI） of the infarct zone/mirror area and compared between the two groups. ResultsThere was no significant difference in the NIHSS or mRS score between the two groups before treatment. After 90 days of treatment，the NIHSS and mRS scores declined in both groups，and the observation group had lower scores than the control group （P<0.05）. After treatment，the rKtrans and rVe in the observation group were lower than those in the control group （P<0.01）. ConclusionCompared with conventional Western medical treatment alone，conventional Western medical treatment combined with Tongnaoyin accelerates the repair of the blood-brain barrier in AIS patients，thereby ameliorating neurological impairment after AIS to improve the prognosis.

Objective To explore the effect of rotenone exposure on the metabolic homeostasis of nicotinamide adenine dinucleotide(NAD+)in dopaminergic neurons of the rat mid-brain striatum,and investigate the effect of exogenous NAD+intervention on the cellular damage response of dopaminergic neurons induced by rotenone.Methods Male SD rats(8 weeks old,200～250 g)were divided into a control group using a table of random numbers,a rotenone exposure group,an NAD+-intervention group,and an NAD+group.An intoxication model was established in the rotenone exposure group.NAD+(250 mg/kg)was administered simultaneously with rotenone exposure in the NAD+-intervention group.The NAD+group was only given NAD+,while the control group received no intervention.After modeling,open field test was performed to evaluate behavioral changes.After scarification,serum samples and mid-brain striatal tissues were collected.HE staining was used to observe the morphology of dopaminergic neurons in the striatum.The NAD+content in the tissues was detected with NAD+/NADH kit.Western blotting was employed to determine the contents of tyrosine hydroxylase(TH),nicotinamide phosphoribosyltransferase(NAMPT),nicotinamide mononucleotide adenylyltransferase(NMNAT),and solute carrier family 25 member A51(SLC25A51).ELISA was utilized to measure the content of dopamine in the striatal tissues.Immunohistochemical staining was applied to observe the distribution and contents of TH proteins in the striatal tissues of each group.Results Rotenone exposure significantly affected the vital signs and motor abilities of rats,induced disorderly-arranged,atrophy and deformed neurons in the striatal tissue,decreased the content of TH,rate-limiting enzyme for dopamine synthesis,by approximately 29%(P<0.01),the content of dopamine by about 42%,and that of NAD+by almost 50%(P<0.01),while increased the NADH/NAD+ratio(P<0.01).After exposure,the content of NAMPT,an enzyme related to NAD+synthesis,was decreased by 26%(P<0.05),the contents of NMNAT1-3 and SLC25A51,mitochondrial transporters of NAD+by approximately 21%,38%,43%,and 21%,respectively(P<0.01).Exogenous NAD+intervention improved the motor function of exposure rats and the morphology of dopaminergic neurons in the mid-brain striatal tissue,and restored the content of TH in the striatal tissue significantly by 12.8%(P<0.05),and the content of dopamine by 20.9%(P<0.05).Conclusion Rotenone disrupts the NAD+homeostasis in dopaminergic neurons by inhibiting the NAD+synthesis and transport pathways in the mid-brain striatal tissues,while exogenous NAD+intervention can effectively alleviate the dopaminergic neuron damage induced by rotenone exposure.

Objective To investigate the clinical prognosis value of the positivity rate of oligoclonal bands(OCB)and immunoglobulin G(IgG)level of cerebrospinal fluid(CSF)in severe encephalitis.Methods A total of 699 cases of encephalitis patients admitted to the Department of Neurology of the First Affiliated Hospital of Air Force Military Medical University,and Xijing 986 Hospital from January 2016 to October 2020 were enrolled.According to the severity of their diseases,these patients were divided into a mild(n=360)group and a severe(n=339)group.CSF and serum samples were collected from the patient at the time of admission,and the differences in cerebrocyte count,glucose contem,glucose content,chlorine content,IgG of CSF and OCB of CSF and serum were compared.According to the GOS score of patients with severe encephalitis at discharge,the patients were divided into good prognosis group(n=259)and poor prognosis group(n=80),and multivariate Logistic regression analysis was used to analyze factors that affected the prognosis of severe encephalitis patients,and the correlation between the OCB and IgG of CSF and prognosis of patients with severe encephalitis.The predictive value of CSF IgG for the prognosis of patients with severe encephalitis was tested,and receiver operating characteristic(ROC)curve was plotted.Results Compared to patients with mild encephalitis,patients with severe encephalitis had a higher proportion of fever,pulmonary infection,status epilepticus,and mechanical ventilation,and were more likely to be complicated by stroke and hydrocephalus,and the differences were statistically significant(χ2=5.319～245.179,all P<0.05).There were significant differences in the positive rate of cerebrocyte count,chlorine content,IgG content and OCB in cerebrospinal fluid between the two groups(Z=-3.623,-4.875,-3.518,χ2=6.581,all P<0.05).CSF OCB and CSF IgG were independent risk factors for poor prognosis in patients with severe encephalitis(Wald χ2=7.295,0.001,all P<0.05).A restrictive cubic spline plot showed a linear relationship between CSF IgG and poor prognosis.The AUC(95%CI)of CSF IgG was 0.754(0.632～0.876).Conclusion The CSF IgG content and positive rate of CSF OCB in patients with severe encephalitis with poor prognosis are higher than those in patients with good prognosis,and detecting these two indicators has certain reference value for the prognosis prediction of patients with severe encephalitis.

Objective To investigate the changes in the levels of D-dimer(D-D),fibrin degradation product(FDP),thrombomodulin(TM),thrombin-antithrombin complex(TAT),tissue plasminogen activator-plasminogen activator inhibitor-1 complex(t-PAIC),and plasmin-alpha 2 plasmin inhibitor complex(PIC)during the treatment of patients with acute myeloid leukemia(AML)and their predictive value for efficacy and prognosis.Methods Thirty-one AML patients initially diagnosed at Guidong People's Hospital of Guangxi Zhuang Autonomous Region from January 2022 to December 2024 were collected as observation group,and 34 healthy medical checkupers were selected as control group.The changes in the levels of the indicators between two groups as well as before,during and after the treatment of observation group were compared,and observation group was divided into remission group and non-remission group according to the efficacy criteria,and the levels of the indicators between two groups were further compared.Risk factors for the efficacy and prognosis of AML patients were analyzed by using Logistic regression analysis.Results Before treatment,the levels of prothrombin time(PT),activated partial thromboplastin time(APTT),D-D,FDP,t-PAIC,PIC,TM and TAT in observation group were significantly higher than those in control group(P＜0.05),whereas there was no significant difference in fibrinogen(Fib)compared with control group(P＞0.05).During the treatment,the levels of t-PAIC and TM in observation group were higher than those before treatment(P＜0.05);After treatment,the levels of PT,D-D,FDP,PIC and TAT in observation group were significantly lower than those before treatment(P＜0.05).After treatment,the levels of PT,D-D,FDP,t-PAIC,PIC,TM and TAT were all lower than those during treatment(P＜0.05).The D-D,FDP,t-PAIC,PIC,TAT and TM levels in non-remission group were all higher than those in remission group,with the t-PAIC and TM levels showing statistical significance(P＜0.05).Binary Logistic regression analysis showed that t-PAIC was an independent risk factor affecting the efficacy and prognosis of AML patients(P＜0.05,OR=1.205,95％CI:1.015-1.430).Conclusion Regular testing of D-D,FDP,TM,TAT,t-PAIC and PIC levels can help to assess the disease changes and efficacy prognosis of AML patients,and provide an important reference for clinical decision-making.

Objective Bibliometric analysis software VOSviewer and CiteSpace were applied to analyze literatures related to acupuncture for myocardial Ischemia/Reperfusion(I/R)injury published in Chinese and English,to explore the status quo,dynamic trend and hot spots in the field,in order to provide reference for future research.Methods Based on the literature on acupuncture and moxibustion for myocardial I/R injury published in CNKI and Web of Science Core Collection database,VOSviewer and CiteSpace software were used to analyze literature publication trends,authors,institutions,countries,journals,keywords and citations,and draw graphs and tables to show the development status of the field and analyze the future development direction.Results Both Chinese and English literatures on the treatment of myocardial I/R injury by acupuncture and moxibustion show an increasing trend,which is one of the academic hotspots with great potential at present.In terms of Chinese literature,Yan Jie is the scholar who has published the most papers,and Hunan University of Traditional Chinese Medicine is the representative of the high production institution.The journal of Acupuncture Research has published the most papers.In terms of English literature,lu sheng-feng is the representative scholar with a high number of publications,Nanjing University of Chinese Medicine is the institution with the largest number of publications,and Evidence-Based Complementary and Alternative Medicine is the journal with the largest number of publications.The authors in the field have weak interinstitutional cooperation and exchange,and their research is mainly from China,with little international collaboration and exchange.At present,acupuncture treatment of myocardial I/R injury covers three aspects:specific acupoints,molecular biological mechanisms and clinical studies,which mainly focus on seven hot spots.Conclusion The bibliometric visual analysis visually demonstrated the current status,hot spots and frontier trends of acupuncture in the treatment of myocardial I/R injury.In the future,it is necessary to strengthen international collaboration,promote exchanges and cooperation between scholars and institutions,and promote the publication of multi-center,large-sample and high-level clinical randomized controlled studies;At the same time,the effect mechanism was further discussed from the perspectives of new molecular biological mechanisms,new intervention measures and point selection,and clinical translational research was carried out.

Objective:To evaluate the efficacy and safety of fecal microbiota transplantation (FMT) for treating functional constipation, analyze the incidence of, and factors that influence, adverse events, and provide scientific evidence for optimizing FMT treatment.Methods:This retrospective, multicenter, single-arm, pre–post real-world study included 1529 patients with functional constipation from four clinical centers. Eligibility criteria comprised meeting the diagnostic criteria for functional constipation, having undergone at least one FMT treatment, complete pre- and post-treatment data available, and age ≥18 years. Patients who had received other interventions affecting gut function within 1 month before treatment and those with severe organic diseases or immune deficiencies were excluded. Applying the above criteria yielded 1529 eligible patients with functional constipation from four medical centers (1405 from the Shanghai Tenth People's Hospital Affiliated to Tongji University, 20 from the Central Hospital of Wuhan, 67 from the Shanxi Bethune Hospital and 37 from the Longgang District People's Hospital of Shenzhen). The study cohort comprised 746 male (48.8%) and 783 female patients (51.2%) of mean age (51.4 ± 17.4) years, mean body mass index (26.4 ± 4.9) kg/m2, and mean duration of disease (15.0 ± 8.3) years. The primary outcomes were the incidence, types, and severity of adverse reactions during treatment, and their impact on patients' quality of life. Secondary outcomes included: (1) the efficacy of FMT in treating constipation. This was assessed based on changes in Patient Assessment of Constipation Symptoms (PAC-SYM) scores, where higher score indicates worse symptom. (2) Subjective satisfaction, evaluated through questionnaires or rating scales, reflecting patients' acceptance of and satisfaction with the treatment, with scores ranging from 1 to 5, where higher scores indicated greater satisfaction. Paired t-tests and Wilcoxon signed-rank tests were used to evaluate changes in symptom scores and biochemical indicators before and after treatment. Logistic regression was performed to analyze factors influencing adverse events, and subgroup analyses to explored differences in efficacy between patient groups.Results:In this cohort of 1529 patients with functional constipation, adverse reactions were primarily mild to moderate (1048/1529,68.5%). They comprised fever in 54 patients (3.5%), dizziness or fatigue in 218 (14.3%), throat discomfort in 806 (52.7%), nausea and vomiting in 166 (10.9%), and abdominal distension or pain in 415 (27.1%). According to multivariate logistic regression analysis, PAC-SYM scores were associated with the rate of adverse reactions, higher scores indicating a lower risk (OR = 0.958, 95% CI: 0.923–0.993, P=0.021). Among the 1529 patients, 274 (17.9%) underwent two or more treatment courses. After one treatment course, the patients' PAC-SYM scores decreased from (37.7 ± 3.2) pre-treatment to (23.7 ± 8.6) (mean difference 14.0 ± 9.1). PAC-SYM scores decreased by (20.7 ± 7.7) after two courses of FMT, and by (19.4 ± 6.3) after three courses. After treatment, 50.7%(775/1529) of patients reported satisfaction scores of ≥4. Adverse reactions impacted satisfaction; specifically, dizziness/fatigue, throat discomfort, and abdominal distension/pain were significantly associated with satisfaction (all P < 0.05). Conclusions:FMT achieved good relief of symptoms of functional constipation and multiple treatment courses have a cumulative effect. Adverse reactions, mainly dizziness/fatigue, throat discomfort, and abdominal distension/pain, had significant negative impacts on patient satisfaction.