Objective To explore the association between severe postoperative complications after emergency surgery and mental distress among operating surgeons, and to identify the related factors. Methods This cross-sectional survey was conducted from January 2024 to December 2025. Anonymous questionnaires were administered using a convenience sampling method to operating surgeons who had experienced severe postoperative complications after emergency surgery (Clavien-Dindo grade ≥Ⅲ), and the incidence rate of mental suffering was calculated. Related factors were analyzed using the χ² test, trend test, and multivariable logistic regression. Results A total of 216 operating surgeons who had experienced severe postoperative complications after emergency surgery were included, with an overall prevalence of mental distress of 74.07%. The positive screening rates for anxiety and depression increased significantly with increasing severity of mental distress (P＜0.001). Multivariable logistic regression showed that timing of complication onset was one of the factors most strongly associated with surgeons’ mental distress. Compared with complications occurring on postoperative days 1–3, complications occurring on postoperative days 4–7 were associated with a significantly higher risk of mental distress (OR=10.329, 95%CI 2.947–36.207, P＜0.001). In addition, experience of medical conflict (OR=2.062, 95%CI 1.015–4.187) and an external attribution style (OR=1.996, 95%CI 1.007–3.959) were also independently associated with mental distress (P＜0.05). Conclusion Severe postoperative complications after emergency surgery are commonly accompanied by mental distress among operating surgeons, often with prominent symptoms of anxiety and depression. Influenced by multiple factors, including event characteristics, system responses, and individual cognition, postoperative 4–7 days may represent a critical high-risk window warranting particular attention.

Objective To use multiple model integration to predict the potential distribution of suitable areas for Hedysari Radix in China and the main environmental factors affecting its distribution.Methods Based on 119 geographical distribution points obtained from species distribution databases,and incorporating 19 bioclimatic and topographic factors,a species distribution model was constructed using the Biomod2 software package 3.5-1 version ensemble modeling platform,integrating six algorithms including generalized linear model,gradient boosting machine,random forest,and others.Geographic information system spatial analysis methods were used to quantitatively assess the distribution characteristics of suitable habitats of Hedysari Radix under current climate conditions and under future climate scenarios,while identifying the primary environmental drivers of its distribution.Results The ensemble model showed significantly superior predictive performance.TSS value and AUC value were 0.924 and 0.992,respectively.Key environmental factors significantly influencing the distribution of Hedysari Radix included slope,aspect,daily average temperature difference,isothermity,seasonal variation coefficient of temperature,lowest temperature in the coldest month,annual precipitation,driest month precipitation,and seasonal variation coefficient of precipitation.Under current climate conditions,suitable habitats for Hedysari Radix were primarily concentrated in the regions of Longnan and Dingxi in Gansu Province,covering an area of approximately 26.17×104 km2.Under future climate scenarios,suitable habitats will gradually shift toward the northwest into lower temperature zones,with a significant reduction in area.Conclusion The habitat suitability model developed in this study provides a basis for the conservation and sustainable utilization of Hedysari Radix genetic resources,while also offering a methodological reference for ecological adaptability studies of medicinal plants.

Objective:To explore the clinical efficacy of immediately adding mifepristone tablets after medical abortion in improving the complete abortion rate.Methods:This study was a randomized controlled trial. A total of 300 patients with medical abortion in Family Planning Center of Hangzhou Women's Hospital from January 2022 to December 2023 were randomly divided into high-dose group, low-dose group and control group by the digital table method, with 100 cases in each group. The low-dose group was given mifepristone tablets 25 mg bid×5 d immediately after medical abortion; the high-dose group was given mifepristone tablets 50 mg bid×5 d immediately after medical abortion; the control did not use mifepristone after medical abortion. The complete abortion rate, the duration of vaginal bleeding, the amount of vaginal bleeding and the incidence of adverse events such as complications were compared among the three groups.Results:For the three indicators of complete abortion rate, duration of vaginal bleeding and the proportion of vaginal bleeding volume exceeding the individual's customary menstrual flow, they were 92.0% (92/100), (9.0±2.8) d and 0% respectively in the low-dose group, 89.0% (89/100), (10.8±3.0) d and 0% respectively in the high-dose group, and 67.0% (67/100), (16.5±2.6) d and 11.0% (11/100) respectively in the control. The complete abortion rate in the high-dose group and low-dose group was significantly higher than that in the control (all P<0.001), while the duration and the proportion of vaginal bleeding volume exceeding the individual's customary menstrual flow were significantly lower than those in the control (all P<0.001), and the differences were statistically significant. The incidence of complications and the occurrence level of other adverse events were similar between the high-dose and low-dose groups and the control, and the differences were not statistically significant (all P>0.05). Conclusion:Immediately giving mifepristone tablets after medical abortion can effectively improve the complete abortion rate, significantly reduce the amount and duration of vaginal bleeding in patients, and the security of the medication is good.

Due to advances in treatment methods, the survival rate and quality of life of cancer patients have been improved. Radiation-induced vascular injury (RIVI) is a common adverse reaction following radiotherapy, mainly manifested as capillary injury and atherosclerosis in the irradiated area. Radiotherapy induces RIVI in the cerebral vessels, carotid arteries, coronary arteries, and large arteries through mechanisms such as endothelial cell injury and senescence, oxidative stress and inflammatory responses, angiogenesis, and vascular remodeling. In this review research progress in the pathological features, pathophysiological mechanisms, clinical manifestations, prevention and treatment strategies of RIVI was summarized, aiming to provide insights for future research on RIVI.

BACKGROUND:Mongolian medicine Echinops sphaerocephalus L.is a commonly used medicine for bone injury in Mongolian medicine.It is effective for tendon injury,fracture,bone nonunion,bone fever,tingling,sore and other diseases.Our previous studies have confirmed that Mongolian medicine Echinops sphaerocephalus L.can promote the proliferation and osteogenic differentiation of bone marrow mesenchymal stem cells,but its effect on angiogenesis in the process of bone defect repair is unknown.OBJECTIVE:To investigate the effect of Echinops sphaerocephalus L.on in vitro angiogenesis in human umbilical vein vascular endothelial cells and to explore the angiogenesis-promoting active ingredients and their mechanisms of action of Echinops sphaerocephalus L.using network pharmacology technology.METHODS:The ethanol extract of Echinops sphaerocephalus L.was prepared and preserved by freeze-drying.The proliferation,migration,chemotaxis and angiogenesis of human umbilical vein endothelial cells were observed after treatment with different concentrations(1 000,100,and 10 μg/mL)of Echinops sphaerocephalus L.The active components and possible signaling pathways that promoted angiogenesis were enriched and analyzed by network pharmacology.RESULTS AND CONCLUSION:(1)The effect of Echinops sphaerocephalus L.on angiogenesis was regulated by its mass concentration:at low mass concentration(10 μg/mL),Echinops sphaerocephalus L.could promote the proliferation,migration,chemotaxis and angiogenesis of human umbilical vein vascular endothelial cells;on the contrary,Echinops sphaerocephalus L.inhibited the proliferation,migration,and chemotaxis of human umbilical vein endothelial cells at high mass concentration(1 000 μg/mL).However,the inhibitory effect of Echinops sphaerocephalus L.on angiogenesis was not significant at high mass concentration due to the limitation of experimental time.10 μg/mL Echinops sphaerocephalus L.could up-regulate the mRNA expression of angiogenesis-associated factors,including kinase insert domain receptor,vascular endothelial growth factor A,and hypoxia-inducible factor α,and thereby influenced angiogenesis during bone repair.(2)Network pharmacological analyses indicated that Echinops sphaerocephalus L.may bind to eight core targets(TGFB1,TNF,IL-6,STAT3,CTNNB1,IL-1B,AKT1,and HIF-1A)through four core active components(apigenin,caffeic acid,quercetin,and chlorogenic acid)to exert an effect on angiogenesis,atherosclerosis,multiple viral infections,and tumor angiogenesis-related signaling pathways.

Objective To use multiple model integration to predict the potential distribution of suitable areas for Hedysari Radix in China and the main environmental factors affecting its distribution.Methods Based on 119 geographical distribution points obtained from species distribution databases,and incorporating 19 bioclimatic and topographic factors,a species distribution model was constructed using the Biomod2 software package 3.5-1 version ensemble modeling platform,integrating six algorithms including generalized linear model,gradient boosting machine,random forest,and others.Geographic information system spatial analysis methods were used to quantitatively assess the distribution characteristics of suitable habitats of Hedysari Radix under current climate conditions and under future climate scenarios,while identifying the primary environmental drivers of its distribution.Results The ensemble model showed significantly superior predictive performance.TSS value and AUC value were 0.924 and 0.992,respectively.Key environmental factors significantly influencing the distribution of Hedysari Radix included slope,aspect,daily average temperature difference,isothermity,seasonal variation coefficient of temperature,lowest temperature in the coldest month,annual precipitation,driest month precipitation,and seasonal variation coefficient of precipitation.Under current climate conditions,suitable habitats for Hedysari Radix were primarily concentrated in the regions of Longnan and Dingxi in Gansu Province,covering an area of approximately 26.17×104 km2.Under future climate scenarios,suitable habitats will gradually shift toward the northwest into lower temperature zones,with a significant reduction in area.Conclusion The habitat suitability model developed in this study provides a basis for the conservation and sustainable utilization of Hedysari Radix genetic resources,while also offering a methodological reference for ecological adaptability studies of medicinal plants.

Objective:To investigate and validate the performance of a dosiomics model that utilized 3D dose distribution to forecast radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 3578 patients diagnosed with NPC admitted to Jiangsu Cancer Hospital from January 2011 to December 2021 were retrospectively analyzed. According to the inclusion and exclusion criteria, 97 NPC patients who developed RTLI were assigned into the case group. A 1:1 propensity score matching (PSM) method was used to match 97 NPC patients without RTLI as the control group. Patients were assigned into the training cohort ( n=135) and the validation cohort ( n=59) at a 7:3 ratio by simple random method. Dosiomics features were extracted from the patients' three-dimensional dose distribution maps. Spearman rho and the least absolute shrinkage and selection operator regression were used to select dosiomics features. Clinical features were collected and screened by univariate and multivariate analyses. Eight machine learning classifiers were then trained to build dosiomics models and clinical models, respectively. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to compare the predictive performance of the dosiomics and clinical models. Multivariate analysis was conducted using logistic regression to assess the influencing factors, while comparisons of the ROC curves between two different models were performed using the DeLong test. Results:A total of 1130 dosiomics features were extracted from the three-dimensional dose distribution maps, and 14 features were retained for model building after feature selection. The model based on the support vector machine (SVM) classifier achieved the highest AUC value of 0.977 (95% CI: 0.949-1.000) in the validation cohort, with an AUC of 1.000 (95% CI: 1.000-1.000) in the training cohort. By conducting univariate and multivariate analyses of the patients' clinical features, 2 clinical features were retained to build the clinical model. The model based on the SVM classifier achieved the optimal AUC value of 0.667 (95% CI: 0.523-0.810) in the validation cohort, with an AUC of 0.804 (95% CI: 0.730-0.878) in the training cohort. DeLong test showed that the difference between the dosiomics and clinical models was statistically significant ( P<0.05). Conclusion:The dosiomics model based on 3D dose distribution yields high predictive performance for RTLI in NPC patients after IMRT, which surpasses the clinical feature model, providing a new approach for early clinical prediction of RTLI.

Due to advances in treatment methods, the survival rate and quality of life of cancer patients have been improved. Radiation-induced vascular injury (RIVI) is a common adverse reaction following radiotherapy, mainly manifested as capillary injury and atherosclerosis in the irradiated area. Radiotherapy induces RIVI in the cerebral vessels, carotid arteries, coronary arteries, and large arteries through mechanisms such as endothelial cell injury and senescence, oxidative stress and inflammatory responses, angiogenesis, and vascular remodeling. In this review research progress in the pathological features, pathophysiological mechanisms, clinical manifestations, prevention and treatment strategies of RIVI was summarized, aiming to provide insights for future research on RIVI.

BACKGROUND:Mongolian medicine Echinops sphaerocephalus L.is a commonly used medicine for bone injury in Mongolian medicine.It is effective for tendon injury,fracture,bone nonunion,bone fever,tingling,sore and other diseases.Our previous studies have confirmed that Mongolian medicine Echinops sphaerocephalus L.can promote the proliferation and osteogenic differentiation of bone marrow mesenchymal stem cells,but its effect on angiogenesis in the process of bone defect repair is unknown.OBJECTIVE:To investigate the effect of Echinops sphaerocephalus L.on in vitro angiogenesis in human umbilical vein vascular endothelial cells and to explore the angiogenesis-promoting active ingredients and their mechanisms of action of Echinops sphaerocephalus L.using network pharmacology technology.METHODS:The ethanol extract of Echinops sphaerocephalus L.was prepared and preserved by freeze-drying.The proliferation,migration,chemotaxis and angiogenesis of human umbilical vein endothelial cells were observed after treatment with different concentrations(1 000,100,and 10 μg/mL)of Echinops sphaerocephalus L.The active components and possible signaling pathways that promoted angiogenesis were enriched and analyzed by network pharmacology.RESULTS AND CONCLUSION:(1)The effect of Echinops sphaerocephalus L.on angiogenesis was regulated by its mass concentration:at low mass concentration(10 μg/mL),Echinops sphaerocephalus L.could promote the proliferation,migration,chemotaxis and angiogenesis of human umbilical vein vascular endothelial cells;on the contrary,Echinops sphaerocephalus L.inhibited the proliferation,migration,and chemotaxis of human umbilical vein endothelial cells at high mass concentration(1 000 μg/mL).However,the inhibitory effect of Echinops sphaerocephalus L.on angiogenesis was not significant at high mass concentration due to the limitation of experimental time.10 μg/mL Echinops sphaerocephalus L.could up-regulate the mRNA expression of angiogenesis-associated factors,including kinase insert domain receptor,vascular endothelial growth factor A,and hypoxia-inducible factor α,and thereby influenced angiogenesis during bone repair.(2)Network pharmacological analyses indicated that Echinops sphaerocephalus L.may bind to eight core targets(TGFB1,TNF,IL-6,STAT3,CTNNB1,IL-1B,AKT1,and HIF-1A)through four core active components(apigenin,caffeic acid,quercetin,and chlorogenic acid)to exert an effect on angiogenesis,atherosclerosis,multiple viral infections,and tumor angiogenesis-related signaling pathways.

Objective To identify key patterns of programmed cell death(PCD)and core genes during ischemia-reperfusion injury(IRI)in kidney transplantation.Methods Kidney transplant datasets were obtained from gene expression database,and PCD-related differentially expressed genes were screened.The non-negative matrix factorization algorithm was used to classify patients and analyze subtype-specific biological functions and key PCD patterns.Machine learning models combined with univariate Cox regression and Kaplan-Meier survival analysis were employed to identify core PCD genes during IRI in kidney transplantation and explore their correlation with key PCD patterns.A rat kidney transplant model was used to assess IRI severity through hematoxylin-eosin staining,serum creatinine(Scr),blood urea nitrogen(BUN),and Western blotting for key gene protein expression.Results Fourteen PCD-related genes were identified.Patients were classified into metabolic(subtype 1)and inflammatory(subtype 2)subtypes.Subtype 2 activated four key PCD patterns:pyroptosis,necroptosis,apoptosis and immunogenic cell death.The optimal model(XGBoost-CV:10 fold+Lasso-CV:10 fold)and survival analysis identified MCL1,BAG3,and RHOB as core PCD genes during IRI in kidney transplantation,which were broadly correlated with key PCD patterns.Experimental results showed that compared to the sham group,rats in the model group had more severe tubular injury,higher Scr and BUN levels,and increased BAG3,RHOB and MCL1 protein expression(all P<0.001).Conclusions These four PCD patterns are crucial in the pathogenesis of IRI in kidney transplantation.MCL1,BAG3 and RHOB may serve as potential biomarkers and therapeutic targets for IRI in kidney transplantation.