ObjectiveTo analyze the research hotspots and development trends in the field of spinal cord stimulation (SCS) for spinal cord injury (SCI). MethodsLiterature about SCS for SCI was retrieve from the Web of Science (WOS) Core Collection database, with a time range from January, 1999 to July, 2025. VOSviewer 1.6.20 and CiteSpace 6.4.R2 were used to analyze the annual publication volume, countries, authors, institutions, journals and keywords. ResultsA total of 636 literatures were included. From 1999 to 2025, the overall publication trend in this field showed an upward trajectory, with recent years fluctuating but tending to stabilize. The country with the most publications was the United States (429 papers), followed by Russia (98 papers) and China (70 papers). The institution with the highest number of publications was the University of California, Los Angeles (76 papers), the author with the most publications was V. Reggie Edgerton (70 papers), and the journal with the most publications was Journal of Clinical Medicine (31 papers). The most frequently cited study focused on exploring the combination of epidural spinal cord stimulation with task-specific training to restore motor function in patients with complete SCI. Keyword analysis showed that the research hotspots in this field were mainly focused on neuroregulation mechanisms, recovery of motor and autonomic nervous dysfunction, artificial intelligence, closed-loop stimulation and brain-computer interface technology innovations. In recent years, the research focus gradually shifted from basic mechanisms to personalized and precise multifunctional rehabilitation strategies. ConclusionThe field of SCS for SCI has undergone phases of basic mechanism exploration and clinical application expansion. Current research hotspots and future trends focus primarily on the development of new stimulation paradigms and combined innovative technologies.

ObjectiveTo investigate the independent risk factors for decompensation in patients with liver cirrhosis， to construct a nomogram-based risk assessment model， and to assess its risk assessment performance and clinical value by comparing it with Model for End-Stage Liver Disease （MELD）， MELD combined with serum sodium concentration （MELD-Na）， and MELD 3.0 scoring system. MethodsA retrospective analysis was performed for 514 patients with liver cirrhosis who attended The First Hospital of Shanxi Medical University from January 2020 to May 2025， and related data were collected， including demographic data and laboratory markers. According to the presence or absence of decompensation， the patients were divided into compensation group with 275 patients and decompensation group with 239 patients. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. The least absolute shrinkage and selection operator regression analysis was used for screening of variables， and the multivariate logistic regression analysis was used to identify independent risk factors for decompensated liver cirrhosis and construct a nomogram model. The receiver operating characteristic （ROC） curve， calibration curve， and decision curve analysis were used to assess the discriminatory ability， calibration， and net clinical benefit of the model. ResultsThe multivariate logistic regression analysis showed that low hemoglobin （odds ratio ［OR］=0.984， 95% confidence interval ［CI］： 0.969　—　0.999， P<0.05）， low lymphocytes （OR=0.564， 95%CI： 0.383　—　0.830， P<0.05）， high international normalized ratio （OR=3.131， 95%CI： 1.242　—　7.891， P<0.05）， and low serum sodium （OR=0.922， 95%CI： 0.872　—　0.975， P<0.05） were independent risk factors for decompensation events in patients with liver cirrhosis. Construct the prediction model equation： Logit（P）=intercept value－0.016×hemoglobin－0.573×lymphocytes+1.141×INR－0.081×serum sodium. The nomogram constructed based on these factors had a good discriminatory ability， with an area under the ROC curve （AUC） of 0.787， a specificity of 77.8%， and a sensitivity of 67.4%， and it had significantly better predictive performance than MELD score （AUC=0.718）， MELD-Na score （AUC=0.719）， and MELD 3.0 score （AUC=0.725）. The calibration curve showed good consistency between the probability of risk assessed by the model and the observed probability. The decision curve analysis showed that compared with the MELD-based scores， this model provided higher net clinical benefit across a wide range of risk thresholds. ConclusionThis study successfully constructed and validated a nomogram risk assessment model incorporating hemoglobin， international normalized ratio， lymphocytes， and serum sodium. This model has good clinical practicability and can help to achieve early identification of high-risk patients with decompensated liver cirrhosis and optimize intervention strategies in clinical practice.

Hepatitis B virus (HBV) infection represents a significant global health challenge. Current therapeutic options, such as interferon and nucleoside analogues (NAs), are limited by issues including long-term medication toxicity, the virus's propensity to develop drug resistance, and the inability to eradicate covalently closed circular DNA (cccDNA). Core protein allosteric modulators (CpAMs), as an emerging class of anti-HBV drugs, target HBcAg to interfere with capsid assembly. This not only blocks viral nucleocapsid formation and inhibits viral replication but also indirectly destabilizes the cccDNA pool, while exhibiting a relatively high genetic barrier to resistance. This article systematically evaluates HBV drug resistance to CpAMs and proposes anti-resistance strategies, including the combination of nucleoside analogues with CpAMs, enhancing protein-drug interactions, targeting HBcAg degradation, designing multi-target inhibitors, and employing combination therapy. Looking ahead, the integration of structural biology, computational chemistry, and immunotherapy will offer innovative approaches for developing novel, highly effective, and low-resistance inhibitors, thereby advancing the functional cure of hepatitis B.

Objective:To determine the clinical issues in the Clinical practice guidelines for postoperative pain management in adults (2024 edition). Methods:A preliminary list of clinical issues for the guidelines was developed through literature review, clinical surveys, and expert interviews. This was followed by two rounds of Delphi questionnaire surveys, with quality control and statistical analysis conducted using expert positive coefficient, mean item scores, full score ratio, coefficient of variation, Cronbach′s α coefficient, and expert authority level to finalize the list of clinical issues.Results:The experts participating in the Delphi questionnaire surveys had multidisciplinary collaborative backgrounds and regional representativeness, with a high level of authority. The overall positive coefficient of expert participation in the surveys was 78.9%. Through two rounds of the Delphi method and based on the screening criteria of a mean score ≥3.5, coefficient of variation ≤30%, and full score ratio ≥30%, 17 clinical issues were ultimately included following an expert consensus meeting.Conclusions:Through the Delphi method and rigorous quality control, the clinical issues in the Clinical practice guidelines for postoperative pain management in adults (2024 edition) are determined, laying a foundation for the subsequent development of the guidelines.

Objective To compare the dosimetric differences between volumetric modulated arc therapy(VMAT)and intensity modulated radiation therapy(IMRT)in the irradiation of chest wall and upper and lower clavicle regions after radical mastectomy for breast cancer.Methods A total of 100 patients who were scheduled to receive radiotherapy after radical mastectomy were included and selected as research subjects.Patients were divided into the VMAT group and the IMRT group by random number table method,with 50 cases in each group.The target dose parameters,exposure dose of organs at risk,monitor unit(MU)and treatment time were compared between the two groups.Results There were no statistical differences in V95 and V110 between the VMAT group and the IMRT group(P＞0.05).The D2%in the VMAT group was lower than that of the IMRT group,while D98%and D50%were higher in the VMAT group than those in the IMRT group(P＜0.05).Target area uniformity and target area conformity were better in the VMAT group than those in the IMRT group(P＜0.05).There were no significant differences in mean cardiac dose(Dmean)and ipsilateral lung V5 and V10 between the VMAT group and the IMRT group(P＞0.05).The heart V20 and V30,contralateral lung Dmean,maximum spinal cord dose(Dmax),contralateral breast Dmean,ipsilateral lung Dmean,V20,V30 and mean MU were lower in the VMAT group than those in the IMRT group,and the treatment time was shorter than that in the IMRT group(P＜0.05).Conclusion In the irradiation treatment of chest wall and upper and lower clavicle regions after radical mastectomy,VMAT demonstrates superior dosimetric characteristics and higher treatment efficiency compared with IMRT,particularly in terms of target area uniformity,target area conformity and exposure doses to organs at risk.

Objective To explore the application of cognitive interview in the development of Experience Scale of Patient Sense of Gain.Methods Purposive sampling method were used to select 13 inpatients of a tertiary grade A hospital in Xi'an,14 outpatients from a community health service center in Guangzhou,and 14 inpatients of a tertiary hospital in Guangzhong from February to April 2023 as the interviewees.The measurement tool was the preliminary version of Experience Scale of Patient Sense of Gain which was preliminary phase of research results of the group.Three rounds of cognitive interviews were conducted to explore the respondent'sunderstanding towards the items of the scale.The collected data were analyzed by thematic coding and the items of the scale were revised by the results of interviews and group discussion.Results After the first round of interviews,eight doubtful items were discussed and revised;after the second round of interviews,three doubtful entries were discussed and revised;and after the third round of interviews,all the interviewees were able to correctly understand the scale.Conclusion Cognitive interviews can provide insights into the target population's understanding of Experience Scale of Patient Sense of Gain,effectively addressing the problems of understanding differences between the developer and respondent in the process of the scale development,thus improving the accuracy of the scale.

OBJECTIVE To analyze the clinical characteristics and the correlation between laboratory indicators and prognosis of severe Mycoplasma pneumoniae pneumonia(SMPP)in children.METHODS A total of 85 children with SMPP admitted to Anhui Provincial Children's Hospital from Nov.2021 to May 2024 were selected as the study subjects.Based on clinical typing at admission,they were divided into a high-risk group(n=59)and a low-risk group(n=26).The clinical manifestations,laboratory indicators and outcomes at 28 days of treatment were compared between the two groups.RESULTS The duration of fever and cough before admission in the high-risk group was(7.17±1.09)days and(6.79±1.25)days,respectively,which was longer than that in the low-risk group(P＜0.05).There were no statistically significant differences in pulmonary auscultation(wheezing rales,moist rales)and extrapulmonary complications between the two groups.The levels of C-reactive protein(CRP),serum amyloid A(SAA),platelets(PLT),fibrinogen(FIB),D-dimer(DD)and N-terminal pro-brain natriuretic peptide(NT-proBNP)in the high-risk group were(11.62±1.45)mg/L,(226.88±36.83)mg/L,(3 18.57±39.82)×109/L,(4.28±0.74)g/L,(0.81±0.12)μg/ml and(2 295.48±413.75)pg/ml,respectively,all of which were higher than those in the low-risk group(P＜0.05).Within 28 days after treatment of children in both groups,one patient in the high-risk group died.CONCLUSIONS Compared with children with SMPP in the low-risk group,those in the high-risk group have a higher risk of prognostic mor-tality,suggesting a correlation between the children's blood CRP,SAA,PLT,FIB,DD and NT-proBNP levels and the prognosis of children with SMPP.

[This corrects the article DOI: 10.1016/j.apsb.2018.08.009.].

Purpose To develop an integrate model combining deep learning features from contrast-enhanced lung ultrasonography with clinical characteristics for predicting epidermal growth factor receptor mutation status in peripheral non-small cell lung cancer.Materials and Methods This retrospective study included 117 patients with pathologically confirmed non-small cell lung cancer from the First Affiliated Hospital of Guangxi Medical University(July 2021 to February 2024).Patients were randomly divided into training(n=93)and test(n=24)sets at an 8∶2 ratio.Regions of interest were delineated at the peak enhancement phase of contrast-enhanced lung ultrasonography.Various deep learning convolutional neural networks were pretrained,with ResNet18 selected as optimal for feature extraction.Deep learning,clinical,and integrated models were constructed using naive Bayesian algorithm.Performance was evaluated via receiver operating characteristic and calibration curves,while class activation mapping and Shapley additive explanation values provided model interpretability.Results In the training set,the deep learning,clinical and integrated models achieved area under the curve of 0.93(95%CI 0.88-0.98),0.86(95%CI 0.68-1.00),and 0.91(95%CI 0.85-0.97),respectively.Corresponding test set area under the curve were 0.81(95%CI 0.72-0.90),0.56(95%CI 0.33-0.80),and 0.87(95%CI 0.72-1.00).Both deep learning and integrated models significantly outperformed the clinical model in training(Z=2.380,P=0.017;Z=2.597,P=0.009)and test sets(Z=2.034,P=0.042;Z=2.577,P=0.010).The integrated model demonstrated excellent calibration and predictive performance.Conclusion The integrated model combining deep learning features from contrast-enhanced lung ultrasonography with clinical characteristics effectively predicts epidermal growth factor receptor mutation status in peripheral non-small cell lung cancer.

Objective To observe the value of three-dimensional speckle tracking imaging(3D-STI)in evaluation on right ventricle(RV)function for predicting adverse events in patients with unstable angina(UA)after percutaneous coronary intervention(PCI).Methods A total of 155 UA patients who underwent both 3D-STI and conventional echocardiography and planned to accept PCI were prospectively enrolled and divided into adverse event group(n=37)and control group(n=118)based on the occurrence of adverse events after PCI or not.Clinical data and echocardiographic parameters were compared between groups,and new binary variables were generated according to the optimal cut-off values showed by the maximum Youden index of receiver operating characteristic curves of 3D-STI parameters being statistically different between groups.Then the independent predictors of adverse events among UA patients after PCI were analyzed,a combined model was constructed,and its predictive value was assessed.Results In adverse event group,the left ventricular end diastolic volume(LVEDV)was higher,while the left ventricular ejection fraction(LVEF),right ventricular free wall longitudinal strain(RVFWLS)and right ventricular global longitudinal strain(RVGLS)were all lower than those in control group(all P＜0.05).The optimal cut-off values for distinguishing adverse event or not was 110 ml for LVEDV,19.05%for RVFWLS and 19.75%for RVGLS,respectively,and all the 3 generated binary variables were independent predictors for adverse events of UA patients after PCI(all P＜0.05).The area under the curve of combined model for predicting adverse events in UA patients after PCI was 0.864.Conclusion RVFWLS＜19.05%and RVGLS＜19.75%obtained with 3D-STI,as well as LVEDV＞110 ml with conventional echocardiography were all independent predictors of adverse events in UA patients after PCI.