ObjectiveTo investigate the application value of a multimodal model integrating radiomics features， deep learning features， and clinical structured data in predicting severe acute pancreatitis （SAP）， and to provide more accurate tools for the early identification of SAP in clinical practice. MethodsThe patients with acute pancreatitis （AP） who attended The First Affiliated Hospital of Soochow University， Jintan Hospital Affiliated to Jiangsu University， and Suzhou Yongding Hospital from January 1， 2017 to December 31， 2023 were included. Related data were collected， including demographic information， previous medical history， etiology， laboratory test data， and systemic inflammatory response syndrome （SIRS） within 24 hours after admission， as well as imaging data within 72 hours after admission， while related scores were calculated， including Ranson score， modified CT severity index （MCTSI）， bedside index for severity in acute pancreatitis （BISAP）， and systemic inflammatory response syndrome， albumin， blood urea nitrogen and pleural effusion （SABP） score. The model was constructed in the following process： （1） three-dimensional CT images were used to extract and identify radiomics features， and a radiomics classification model was established based on the extreme gradient Boost （XGBoost） algorithm； （2） U-Net is used to perform semantic segmentation of three-dimensional CT images， and then the results of segmentation were imported into 3D ResNet50 to construct a deep learning classification model； （3） the predicted values of the above two models were integrated with clinical structured data to establish a multimodal model based on the XGBoost algorithm. The variable importance plot and local interpretability plot were used to perform visual interpretation of the model. The independent samples t-test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups； the chi-square test or Fisher’s exact test was used for comparison of categorical data between groups. The receiver operating characteristic （ROC） curve was plotted for each model and existing scoring systems， and the area under the ROC curve （AUC） was calculated to assess their performance； the Delong test was used for comparison of AUC. ResultsA total of 609 patients who met the criteria were included， among whom 114 （18.7%） developed SAP. In this study， the data of 426 patients from The First Affiliated Hospital of Soochow University was used as the training set， and the data of 183 patients from Jintan Hospital Affiliated to Jiangsu University and Suzhou Yongding Hospital were used as the independent test set. The multimodal model had an AUC of 0.914 in the test set， which was significantly higher than the AUC of traditional scoring systems such as MCTSI （AUC=0.827）， Ranson score （AUC=0.675）， BISAP （AUC=0.791）， and SABP score （AUC=0.648）； in addition， the multimodal model showed a significant improvement in performance compared with the radiomics classification model （AUC=0.739） and the deep learning classification model （AUC=0.685） （the Delong test： Z=-3.23， -4.83， -3.48， -4.92， -4.31， and -4.59， all P <0.01）. The top 10 variables in terms of importance in the multimodal model were pleural effusion， predicted value of the deep learning model， predicted value of the radiomics model， triglycerides， calcium ions， SIRS， white blood cell count， age， platelets， and C-reactive protein， suggesting that the above variables had significant contributions to the performance of the model in predicting SAP. ConclusionBased on structured data， radiomic features， and deep learning features， this study constructs a multicenter prediction model for SAP based on the XGBoost algorithm， which has a better predictive performance than existing traditional scoring systems and unimodal models.

Objective To explore the characteristics and molecular mechanisms of dynamic changes in ovarian function during natural aging in mice.Methods Eighteen female ICR mice of 2,6,10 and 14 months of age(referred to as 2 M,6 M,10 M,and 14 M)were included.The estrous cycle,ovarian index,pregnancy rate and embryo number were detected.The number of follicles was observed using HE staining.Serum anti-Müllerian hormone(AMH)levels were measured using ELISA.Protein and mRNA expression of P16,P21,proliferator-activated receptor-γ coactivator-1α(PGC-1α),and mitochondrial transcription factor A(TFAM)were detected through IHC and qPCR,respectively,and the protein expression of PGC-1α and TFAM was detected by Western blot.Relationships between indicators were evaluated based on Spearman's rank correlation coefficients and logistic regression analyses.Results Compared with estimates in the 2 M group,the percentage of estrous cycle disorders(P＜0.05 in 10 M group,P＜0.01 in 14 M group),ovarian index(P＜0.05 in 10 M group,P＜0.01 in 14 M group),serum AMH level(P＜0.01 in 10 M group,P＜0.01 in 14 M group),number of embryos(P＜0.01 in the 10 M group,P＜0.01 in 14 M group),and pregnancy rate(P＜0.01 in 14 M group)were significantly lower;the number of follicles at all levels and total number of follicles were lower(all P＜0.01),and the number of atretic follicles(all P＜0.01)was higher.Furthermore,P16 and P21 mRNA(P16:P＜0.01 in 10 M and 14 M groups;P21:P＜0.05 in 10 M group,P＜0.01 in 14 M group)and protein levels(P16:P＜0.01 in each group;P21:P＜0.01 in 10 M and 14 M groups)were elevated.Spearman's correlation analyses showed that the age in months was negatively correlated with the ovarian index,serum AMH level,primordial follicle number,number of embryos,and expression of PGC-1αand TFAM and positively correlated with the expression of atretic follicle,P16 and P21(all P＜0.01).Logistic regression analysis revealed a significant negative correlation between the age in months and pregnancy rate(P＜0.01).PGC-1α mRNA was significantly decreased(all P＜0.01),and TFAM mRNA was significantly decreased in 10 M and 14 M groups(P＜0.01).PGC-1α levels were significantly decreased in the 10 M group(IHC:P＜0.05;Western blot:P＜0.01)and 14 M group(all P＜0.01);TFAM levels were significantly lower in 6 M,10 M,and 14 M groups than in the 2 M group(IHC:P＜0.01;Western blot:P＜0.01).Compared with the 2 M group,expression levels of PGC-1α and TFAM were positively correlated with the ovarian index and serum AMH level and negatively correlated with P16 and P21 expression(all P＜0.01).Conclusions Ovarian function in mice declines progressively with age in months,as reflected by reductions in follicles and fertility and the up-regulation of aging markers,which may be associated with the decreased expression of the mitochondrial biogenesis factors PGC-1α and TFAM.

Facing the requirements of promoting the healthy China initiative and improving people's health, the "bone health program" was proposed in 2024. In-depth development of a traditional Chinese medicine(TCM) prevention and control system is of strategic significance to the implementation of the "bone health program". Focusing on osteoporosis(OP), a representative disease affecting people's bone health, this paper concludes that accelerating the research on the prevention and control of OP by TCM is conducive to enhancing the knowledge and awareness of OP among the public, and it is beneficial to revealing the evolutionary pattern of OP and improving the understanding and management of this disease. Additionally, it can provide an overall framework for and strengthen the systematicity and completeness of the research on the prevention and treatment of OP by TCM. Meanwhile, it can help to explore new research paradigms and optimize the existing research model, so as to promote innovative breakthroughs in the prevention and treatment of bone health-related diseases by TCM. Under the overall layout of the "bone health program", importance should be attached to the early prevention and the innovation of very early diagnosis and intervention of OP. Emphasis should be put on the discovery of the target network of disease and treatment mechanism for revealing the core pathogenesis of OP and the therapeutic mechanism of TCM. In addition to local lesions of the bone and its clinical outcomes, attention should be paid to the development of multiple metabolic complications. The fusion of advanced interdisciplinary technologies should be promoted for OP and its complications, and thus a research and development system based on clinical application scenarios and driven by big data can be built. The measures above will facilitate the progress in the prevention and treatment of OP and other bone diseases by TCM and provide new momentum for enriching and deepening the research connotation of the "bone health program".
Osteoporosis/therapy* ; Humans ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/therapeutic use* ; China ; Bone and Bones/drug effects*

Objective To explore the effectiveness of"near peer learning"(NPL)in the electromyo-graphy(EMG)teaching module for neurology residents.Methods The Department of Neurology,Peking Union Medical College Hospital implemented an NPL instructional design for a course on EMG for residents from November 2020 to March 2024.This teaching session was held annually,in which senior residents in-structed juniors who were 1 or 2 years earlier in their training.The residents participated in the pre-course/post-course tests and completed a feedback survey at the end of the session.This evaluation method was used to un-derstand the effectiveness of the NPL intervention in EMG teaching.Results Over four years,a total of 83 residents participated.Among them,there were 24 postdoctoral students,52 postgraduates and 7 junior resi-dents.The results showed that the post-course test scores were significantly improved compared with pre-course test scores(74.33±2.43 vs.70.11±2.49,P=0.005),with the most remarkable improvements seen for"tu-tees"(73.84±20.53 vs.70.29±21.46,P=0.020),postgraduates(74.04±22.51 vs.68.97±21.40,P=0.009),first-year residents(70.19±4.02 vs.63.59±3.59,P=0.040)and first-time participating resi-dents(65.23±3.24 vs.60.97±3.21,P=0.030).The post-program feedback showed that both tutors and tu-tees thought highly of NPL,believing that it enabled them to gain knowledge and helped them to improve teaching skills.Conclusions The NPL intervention is suitable for the teaching of EMG,because of its contri-bution to knowledge acquisition and basic clinical skills improvement.The NPL is worth replicating in other teaching and learning programs.

Objective To develop and validate a prediction model to identify high-risk individuals who are at-risk to develop acute liver injury(ALI)within 180 days in new statin users,and to support early clinical intervention.Methods Data were sourced from the Yinzhou Regional Health Information Platform,covering statin initiators aged 18 years and older from January 1,2010,to October 31,2021.The dataset was divided into a derivation cohort and a temporal validation cohort based on the time of statin initiation.Predictors were selected using LASSO regression,and the model was constructed using the extreme gradient boosting(XGBoost)algorithm combined with cost-sensitive learning.Model performance was evaluated using Brier scores,Harrell's C-index,and calibration curves.Results A total of 126,440 statin initiators were included,with 90,542 in the derivation cohort and 35,898 in the validation cohort.Within 180 days of initial statin use,412(0.33％)patients developed ALI,including 305(0.34％)in the derivation cohort and 107(0.30％)in the validation cohort.The final model incorporated 16 predictors,which included demographic characteristics,lifestyle factors,family history,medical history,statin use,and concomitant medication use.The model demonstrated excellent overall performance[Brier score=0.0043,95％CI(0.0038,0.0049)],discrimination[Harrell's C-index=0.761,95％CI(0.725,0.794)],and calibration in internal validation.In temporal validation,the model also performed well[Brier score=0.0044,95％CI(0.0036,0.0052),Harrell's C-index=0.703,95％CI(0.614,0.781)].Conclusion This study develope and validate a prediction model for ALI in statin users,providing clinicians with a reliable tool for individualized risk assessment.This model can help achieve risk stratification and reduce the occurrence of ALI.

Objective To explore the characteristics and molecular mechanisms of dynamic changes in ovarian function during natural aging in mice.Methods Eighteen female ICR mice of 2,6,10 and 14 months of age(referred to as 2 M,6 M,10 M,and 14 M)were included.The estrous cycle,ovarian index,pregnancy rate and embryo number were detected.The number of follicles was observed using HE staining.Serum anti-Müllerian hormone(AMH)levels were measured using ELISA.Protein and mRNA expression of P16,P21,proliferator-activated receptor-γ coactivator-1α(PGC-1α),and mitochondrial transcription factor A(TFAM)were detected through IHC and qPCR,respectively,and the protein expression of PGC-1α and TFAM was detected by Western blot.Relationships between indicators were evaluated based on Spearman's rank correlation coefficients and logistic regression analyses.Results Compared with estimates in the 2 M group,the percentage of estrous cycle disorders(P＜0.05 in 10 M group,P＜0.01 in 14 M group),ovarian index(P＜0.05 in 10 M group,P＜0.01 in 14 M group),serum AMH level(P＜0.01 in 10 M group,P＜0.01 in 14 M group),number of embryos(P＜0.01 in the 10 M group,P＜0.01 in 14 M group),and pregnancy rate(P＜0.01 in 14 M group)were significantly lower;the number of follicles at all levels and total number of follicles were lower(all P＜0.01),and the number of atretic follicles(all P＜0.01)was higher.Furthermore,P16 and P21 mRNA(P16:P＜0.01 in 10 M and 14 M groups;P21:P＜0.05 in 10 M group,P＜0.01 in 14 M group)and protein levels(P16:P＜0.01 in each group;P21:P＜0.01 in 10 M and 14 M groups)were elevated.Spearman's correlation analyses showed that the age in months was negatively correlated with the ovarian index,serum AMH level,primordial follicle number,number of embryos,and expression of PGC-1αand TFAM and positively correlated with the expression of atretic follicle,P16 and P21(all P＜0.01).Logistic regression analysis revealed a significant negative correlation between the age in months and pregnancy rate(P＜0.01).PGC-1α mRNA was significantly decreased(all P＜0.01),and TFAM mRNA was significantly decreased in 10 M and 14 M groups(P＜0.01).PGC-1α levels were significantly decreased in the 10 M group(IHC:P＜0.05;Western blot:P＜0.01)and 14 M group(all P＜0.01);TFAM levels were significantly lower in 6 M,10 M,and 14 M groups than in the 2 M group(IHC:P＜0.01;Western blot:P＜0.01).Compared with the 2 M group,expression levels of PGC-1α and TFAM were positively correlated with the ovarian index and serum AMH level and negatively correlated with P16 and P21 expression(all P＜0.01).Conclusions Ovarian function in mice declines progressively with age in months,as reflected by reductions in follicles and fertility and the up-regulation of aging markers,which may be associated with the decreased expression of the mitochondrial biogenesis factors PGC-1α and TFAM.

Objective To assess the efficacy and the survival rate of the hip joint following the treatment of osteonecrosis of the femoral head(ONFH)with ultrasound-guided percutaneous intra-articular platelet-rich plasma(PRP)injection in combination with percutaneous silver needle thermalolysis.Methods Fifty-six patients diag-nosed with ARCO(Association Research Circulation Osseous)stage Ⅱ ONFH were randomly allocated into two groups.The first group,designated as the PRP injection combined with silver needle thermalolysis group(Group R,n=28),and the second group,the steroid injection combined with silver needle thermalolysis group(Group S,n=28).Both groups underwent three injections(administered at 4-week intervals)and one session of silver needle thermalolysis.Outcome measures,including the Numerical Rating Scale(NRS)for pain assessment,Harris Hip Score(HHS),daily consumption of non-steroidal anti-inflammatory drugs(etoricoxib)and tramadol,progression to ARCO stage Ⅲ,and the rates of surgical intervention,were recorded at baseline,3 days,and 1,3,6,and 12 months after the treatment.Results When compared to the baseline,both groups manifested significant decreases in NRS scores and enhancements in HHS at all follow-up time points(P<0.05).Specifically,Group R demonstrated more favorable outcomes compared to Group S.At 3,6,and 12 months,Group R had lower NRS scores(P<0.01)and more notable improvements in HHS(P<0.01).Additionally,the daily analgesic consumption(etoricoxib and tramadol)in Group R was significantly lower than that in Group S at 3,6,and 12 months(P<0.01).Moreover,Group R exhibited a significantly lower progression rate to ARCO stage III and a lower hip replacement surgery rate(P<0.05).Conclusions Ultrasound-guided intra-articular PRP injection in combination with silver needle therma-lolysis expedites pain alleviation,enhances hip function,reduces analgesic dependence,and retards the progression of ONFH.This approach thus represents a clinically viable option for early-stage intervention.

Objective To analyze temporal trends in infectious disease burden among Chinese elderly(≥60 years)using data from the Global Burden of Disease Study(GBD 2021),evaluate age-period-cohort effects on disease burden,predict trends through 2045,and propose evidence-based medication management strategies.Methods We conducted a threefold analysis of infectious disease burden from 1990 to 2021 using Joinpoint regression to identify temporal trends,Age-Period-Cohort(APC)modeling to disentangle epidemiological effects,and Nordpred projections for 2045 disease burden estimates.Results Over 32 years,all infectious disease categories except HIV/AIDS and sexually transmitted infections demonstrated significant declines.Enteric infections showed the most rapid reductions in mortality(AAPC=-7.85,P﹤0.001)and disability-adjusted life year rates(DALYR;AAPC=-7.18,P﹤0.001).We also found a significant decrease in the incidence of tropical diseases and malaria(AAPC=-6.77,P﹤0.001).APC analysis found that the age effect was mostly negative in terms of the annual percentage change in mortality and DALYR for each disease,except for HIV/AIDS,with an overall decline in period risk over time,and a generally higher risk of morbidity and mortality for the early birth cohort,and an overall decline in the risk of each disease as the year of birth progressed,but the risk of HIV/AIDS death and DALY period and cohort risks trended upward.While the overall risk for certain diseases was slightly higher in males compared to females,the trends were largely consistent across both sexes.In terms of projections,the absolute prevalence of respiratory infections and tuberculosis in terms of number of cases and age-standardized rates,and the growth of the disease burden of HIV/AIDS were particularly prominent,making them important health challenges for the future.The burden of disease in the elderly often results in issues such as potential polypharmacy,which must be addressed to improve medication management.Conclusions China has achieved remarkable progress in reducing infectious disease burdens among older adults,though HIV/AIDS and sexually transmitted infections present an escalating public health threat.These findings advocate for enhanced surveillance systems,age-specific prevention strategies,and precision medication protocols to optimize therapeutic outcomes in geriatric populations.

Objective To assess the efficacy and the survival rate of the hip joint following the treatment of osteonecrosis of the femoral head(ONFH)with ultrasound-guided percutaneous intra-articular platelet-rich plasma(PRP)injection in combination with percutaneous silver needle thermalolysis.Methods Fifty-six patients diag-nosed with ARCO(Association Research Circulation Osseous)stage Ⅱ ONFH were randomly allocated into two groups.The first group,designated as the PRP injection combined with silver needle thermalolysis group(Group R,n=28),and the second group,the steroid injection combined with silver needle thermalolysis group(Group S,n=28).Both groups underwent three injections(administered at 4-week intervals)and one session of silver needle thermalolysis.Outcome measures,including the Numerical Rating Scale(NRS)for pain assessment,Harris Hip Score(HHS),daily consumption of non-steroidal anti-inflammatory drugs(etoricoxib)and tramadol,progression to ARCO stage Ⅲ,and the rates of surgical intervention,were recorded at baseline,3 days,and 1,3,6,and 12 months after the treatment.Results When compared to the baseline,both groups manifested significant decreases in NRS scores and enhancements in HHS at all follow-up time points(P<0.05).Specifically,Group R demonstrated more favorable outcomes compared to Group S.At 3,6,and 12 months,Group R had lower NRS scores(P<0.01)and more notable improvements in HHS(P<0.01).Additionally,the daily analgesic consumption(etoricoxib and tramadol)in Group R was significantly lower than that in Group S at 3,6,and 12 months(P<0.01).Moreover,Group R exhibited a significantly lower progression rate to ARCO stage III and a lower hip replacement surgery rate(P<0.05).Conclusions Ultrasound-guided intra-articular PRP injection in combination with silver needle therma-lolysis expedites pain alleviation,enhances hip function,reduces analgesic dependence,and retards the progression of ONFH.This approach thus represents a clinically viable option for early-stage intervention.

Objective To develop and validate a prediction model to identify high-risk individuals who are at-risk to develop acute liver injury(ALI)within 180 days in new statin users,and to support early clinical intervention.Methods Data were sourced from the Yinzhou Regional Health Information Platform,covering statin initiators aged 18 years and older from January 1,2010,to October 31,2021.The dataset was divided into a derivation cohort and a temporal validation cohort based on the time of statin initiation.Predictors were selected using LASSO regression,and the model was constructed using the extreme gradient boosting(XGBoost)algorithm combined with cost-sensitive learning.Model performance was evaluated using Brier scores,Harrell's C-index,and calibration curves.Results A total of 126,440 statin initiators were included,with 90,542 in the derivation cohort and 35,898 in the validation cohort.Within 180 days of initial statin use,412(0.33％)patients developed ALI,including 305(0.34％)in the derivation cohort and 107(0.30％)in the validation cohort.The final model incorporated 16 predictors,which included demographic characteristics,lifestyle factors,family history,medical history,statin use,and concomitant medication use.The model demonstrated excellent overall performance[Brier score=0.0043,95％CI(0.0038,0.0049)],discrimination[Harrell's C-index=0.761,95％CI(0.725,0.794)],and calibration in internal validation.In temporal validation,the model also performed well[Brier score=0.0044,95％CI(0.0036,0.0052),Harrell's C-index=0.703,95％CI(0.614,0.781)].Conclusion This study develope and validate a prediction model for ALI in statin users,providing clinicians with a reliable tool for individualized risk assessment.This model can help achieve risk stratification and reduce the occurrence of ALI.