ObjectiveToll-like receptor 4 （TLR4）， a receptor for pathogen-associated molecular patterns of innate immunity， is associated with neurodegenerative diseases. Interleukin （IL）-6， IL-1β， and tumor necrosis factor-α （TNF-α） as common pro-inflammatory cytokines and high-sensitivity C-reactive protein （hs-CRP） are related to inflammatory responses. This study evaluated the clinical efficacy and possible mechanisms of therapeutic effects of Fengyintang on early and mid-stage PD with excessive heat generating wind by observing the effects of Fengyintang on the serum levels of TLR4， IL-6， IL-1β， TNF-α， and hs-CRP in the patients with PD. MethodsSixty-eight PD patients who met the inclusion criteria were randomly assigned into the control group and the observation group （n=34）. Both groups were treated with anti-PD Western medicine and the observation group was additionally treated with Fengyintang. Both groups were treated for 8 weeks. Before and after 8 weeks of treatment， the patients in the two groups were measured for their TCM symptom scores， International Movement Disorder Society Unified Parkinson's Disease Rating Scale （MDS-UPDRS） score， Parkinson's Disease Non-Motor Symptom Scale （NMSS） score， Patient Assessment of Constipation Symptom （PAC-SYM） score， Pittsburgh Sleep Quality Index （PSQI）， Hamilton Anxiety Scale （HAMA） score， Hamilton Depression Scale （HAMD） score， and changes in serum TLR4， IL-6， IL-1β， TNF-α， and hs-CRP levels. ResultsOne case in the control group was removed due to loss of visit， and a total of 67 PD patients （33 in the control group and 34 in the observation group） who met the criteria were included for analysis. After treatment， patients in the observation group showed decreases in scores of TCM symptoms， MDS-UPDRS， NMSS， PAC-SYM， PSQI， HAMA， and HAMD （P<0.05， P<0.01）. Moreover， the observation group had lower scores of TCM symptoms， MDS-UPDRS， NMSS， PAC-SYM， PSQI， HAMA， and HAMD than the control group （P<0.05， P<0.01）. The observation group showed higher efficacy in terms of TCM symptoms and MDS-UPDRS score than the control group （Z=-0.57， P<0.05）. The overall response rate was higher in the observation group than in the control group （Z=-0.62， P<0.05， P<0.01）. The serum TLR4， TNF-α， IL-1β， IL-6， and hs-CRP levels of the observation group were lower than those of the control group （P<0.05， P<0.01）. ConclusionFengyintang combined with Western medicine can safely and effectively alleviate the clinical symptoms， reduce the levels of inflammatory factors， improve the quality of life， and delay the disease progression of PD patients by inhibiting peripheral TLR4 expression and thus suppressing the downstream inflammatory response.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

AIM To establish a rapid quantitative analysis model for saponins in Paris polyphylla var.yunnanensis(PPY)by near infrared spectroscopy.METHODS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ and there total content in PPY were determined by HPLC,while spectral data within the range of 10 000 to 4 000 cm-1 were collected.A quantitative analysis model was established by combining these data with partial least squares regression(PLSR).Multivariate scatter correction(MSC)and vector normalization(SNV)were applied prior to further preprocessing the spectra with original,first-order derivative(1stD),or second-order derivative(2ndD)treatments.Lastly,the model was optimized through non-smoothing(NS),Norris Derivative filtering(Nd),and Savitzky-Golay filtering(S-G)method.Model stability was evaluated based on correlation coefficients and variance.The predicted contents of each saponin component in the validation set samples were calculated.RESULTS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ were 0.42-17.98,0.46-10.44,0.23-3.86 mg/g,respectively.The total content ranged from 2.91 to 22.1 mg/g.The optimal parameters of three saponins were achieved when selecting the MSC+2ndD+S-G pretreatment method.The corresponding ratio of line segment length to segment gap was 13∶5,15∶5,11∶5,with correlation coefficients of 0.982,0.930,0.958,respectively.The root mean square errors of calibration(RMSEC)were 0.702,0.797,0.238,and the root mean square errors of prediction(RMSEP)were 1.120,0.835,0.304,respectively.The optimal parameters for the total content were obtained when selecting the MSC+2ndD+NS pretreatment method,with a correlation coefficient of 0.970,a RMSEC of 1.090,and a RMSEP of 1.740.CONCLUSION This accurate and rapid method can be used for detection of saponin contents in P.Polyphylla.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

AIM To establish a rapid quantitative analysis model for saponins in Paris polyphylla var.yunnanensis(PPY)by near infrared spectroscopy.METHODS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ and there total content in PPY were determined by HPLC,while spectral data within the range of 10 000 to 4 000 cm-1 were collected.A quantitative analysis model was established by combining these data with partial least squares regression(PLSR).Multivariate scatter correction(MSC)and vector normalization(SNV)were applied prior to further preprocessing the spectra with original,first-order derivative(1stD),or second-order derivative(2ndD)treatments.Lastly,the model was optimized through non-smoothing(NS),Norris Derivative filtering(Nd),and Savitzky-Golay filtering(S-G)method.Model stability was evaluated based on correlation coefficients and variance.The predicted contents of each saponin component in the validation set samples were calculated.RESULTS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ were 0.42-17.98,0.46-10.44,0.23-3.86 mg/g,respectively.The total content ranged from 2.91 to 22.1 mg/g.The optimal parameters of three saponins were achieved when selecting the MSC+2ndD+S-G pretreatment method.The corresponding ratio of line segment length to segment gap was 13∶5,15∶5,11∶5,with correlation coefficients of 0.982,0.930,0.958,respectively.The root mean square errors of calibration(RMSEC)were 0.702,0.797,0.238,and the root mean square errors of prediction(RMSEP)were 1.120,0.835,0.304,respectively.The optimal parameters for the total content were obtained when selecting the MSC+2ndD+NS pretreatment method,with a correlation coefficient of 0.970,a RMSEC of 1.090,and a RMSEP of 1.740.CONCLUSION This accurate and rapid method can be used for detection of saponin contents in P.Polyphylla.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

Objective To investigate the expression of disulfidptosis-related genes in hepatocellular carcinoma(HCC)and the prognostic value of disulfidptosis in HCC,to construct a prognostic model,and to analyze its impact on the biological processes of HCC and sorafenib resistance.Methods The TCGA-LIHC database was used to collect the mRNA expression profiles and corresponding clinical data of HCC patients,and the LASSO-Cox regression algorithm was used to construct a four-gene predictive model for prognosis in the TCGA cohort.The external datasets ICGC and GSE14520 were used to validate the prognostic efficacy of the model,and the Cancer Drug Sensitivity Genomics(GDSC)data were used to investigate the value of the disulfidptosis model in predicting sorafenib treatment response,and gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)analyses were used to investigate the biological functions of disulfidptosis-related genes.The independent-samples t 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 Kaplan-Meier curve and the log-rank test were used to evaluate the difference in prognosis,and univariate and multivariate Cox regression analyses were used to investigate whether risk score was an independent influencing factor for patient prognosis.Results The univariate Cox regression analysis in the TCGA cohort showed that seven known disulfidptosis-related genes were significantly associated with overall survival(OS)in HCC(all P<0.05).The LASSO-Cox regression analysis was used to construct a prognostic model based on disulfidptosis-related genes(DRG),and the risk score RS-DRG was calculated as RS-DRG=(0.061 6)×GYS1 expression level+(0.152 8)×LRPPRC expression level+(0.268 3)×RPN1 expression level+(0.183 5)×SLC7A11 expression level.The log-rank test showed that the patients with a high risk score based on the disulfidptosis model had a significantly lower OS than those with a low risk score(P<0.001).Based on the results of the multivariate Cox regression analysis,risk score was an independent predictive factor for OS in both TCGA and ICGC cohorts(TCGA:hazard ratio[HR]=1.869,P=0.002;ICGC:HR=3.469,P=0.004).The Spearman correlation analysis showed that RS-DRG was significantly positively correlated with the infiltration level of various immune cells(including B lymphocytes,CD4+T lymphocytes,neutrophils,macrophages,and dendritic cells)in tumor microenvironment(all P<0.05).The patients in the high-risk score group had a significantly lower IC50 value of sorafenib and were more sensitive to sorafenib(P<0.001).The KEGG/GO enrichment analysis showed that the differentially expressed disulfidptosis-related genes were significantly enriched in various mitosis-related molecular functions.Conclusion This study constructed a novel prognostic model based on disulfidptosis-related genes,which has a potential clinical value in predicting the prognosis of HCC,and targeting disulfidptosis-related genes may provide a promising approach for HCC treatment.

Objective: To determine the feasibility of using temporary permanent pacemaker (TPPM) in patients with high-degree atrioventricular block (AVB) after transcatheter aortic valve replacement (TAVR) as bridging strategy to reduce avoidable permanent pacemaker implantation. Methods: This is a prospective observational study. Consecutive patients undergoing TAVR at Beijing Anzhen Hospital and the First Affiliated Hospital of Zhengzhou University from August 2021 to February 2022 were screened. Patients with high-degree AVB and TPPM were included. Patients were followed up for 4 weeks with pacemaker interrogation at every week. The endpoint was the success rate of TPPM removal and free from permanent pacemaker at 1 month after TPPM. The criteria of removing TPPM was no indication of permanent pacing and no pacing signal in 12 lead electrocardiogram (EGG) and 24 hours dynamic EGG, meanwhile the last pacemaker interrogation indicated that ventricular pacing rate was 0. Routinely follow-up ECG was extended to 6 months after removal of TPPM. Results: Ten patients met the inclusion criteria for TPPM, aged (77.0±11.1) years, wirh 7 females. There were 7 patients with third-degree AVB, 1 patient with second-degree AVB, 2 patients with first degree AVB with PR interval>240 ms and LBBB with QRS duration>150 ms. TPPM were applied on the 10 patients for (35±7) days. Among 8 patients with high-degree AVB, 3 recovered to sinus rhythm, and 3 recovered to sinus rhythm with bundle branch block. The other 2 patients with persistent third-degree AVB received permanent pacemaker implantation. For the 2 patients with first-degree AVB and LBBB, PR interval shortened to within 200 ms. TPPM was successfully removed in 8 patients (8/10) at 1 month without permanent pacemaker implantation, of which 2 patients recovered within 24 hours after TAVR and 6 patients recovered 24 hours later after TAVR. No aggravation of conduction block or permanent pacemaker indication were observed in 8 patients during follow-up at 6 months. No procedure-related adverse events occurred in all patients. Conclusion: TPPM is reliable and safe to provide certain buffer time to distinguish whether a permanent pacemaker is necessary in patients with high-degree conduction block after TAVR.
Female ; Humans ; Atrioventricular Block/therapy* ; Feasibility Studies ; Transcatheter Aortic Valve Replacement ; Pacemaker, Artificial ; Bundle-Branch Block

Cancer is one of the major fatal diseases that seriously threaten human health， and its burden needs to be solved urgently. Health technology assessment （HTA） can provide scientific evidence-based basis for cancer diagnosis， treatment， prevention and related policy formulation. Cost-utility analysis is the gold standard for economic evaluation in HTA， and the accurate measurement of its health utility is one of the key elements to determine the accuracy of its results. This article focuses on systematic introduction of direct measures， multi-attribute health utility scales， and mapping methods in the field of cancer measurement and reviews their applications in cancer patients. Among them， direct measures are complex， costly， and require a high level of subject knowledge； multi-attribute health utility measures are currently the preferred method for measuring health utility in cancer patients； with the continuous development and refinement of disease-specific utility measures in multi-attribute health utility instruments， the mapping method may gradually decrease in future applications. This paper can provide a reference for the selection of health utility measurement tools for HTA in the field of cancer， and provide evidence-based basis for optimizing resource allocation and policy formulation in the field of cancer.