Glucocorticoid-induced osteoporosis(GIOP) is a serious metabolic bone disease caused by long-term application of glucocorticoids(GCs). Traditional Chinese medicine(TCM) has unique advantages in improving bone microstructure and antagonizing hormone toxicity. This paper systematically reviews the theoretical research, clinical application, and basic research progress of TCM intervention in GIOP. In terms of theoretical research, the theory of "kidney governing bone and generating marrow" indicates that the kidney is closely related to bone development, revealing that core pathogenesis of GIOP is Yin-Yang disharmony, which can be discussed using the theories of "Yin fire", "ministerial fire", and "Yang pathogen damaging Yin". Thus, regulating Yin and Yang is the basic principle to treat GIOP. In terms of clinical application, effective empirical prescriptions(such as Bushen Zhuanggu Decoction, Bushen Jiangu Decoction, and Zibu Ganshen Formula) and Chinese patent medicines(Gushukang Capsules, Hugu Capsules, Xianling Gubao Capsules, etc.) can effectively increase bone mineral density(BMD) and improve calcium and phosphorus metabolism. The combination of traditional Chinese and western medicine can reduce the risk of fracture and play an anti-GIOP role. In terms of basic research, it has been clarified that active ingredients of TCM(such as fraxetin, ginsenoside Rg_1, and salidroside) reduce bone loss and promote bone formation by inhibiting oxidative stress, ferroptosis, and other pathways, effectively improving bone homeostasis. Additionally, classical prescriptions(Modified Yiguan Decoction, Modified Qing'e Pills, Zuogui Pills, etc.) and Chinese patent medicines(Gushukang Granules, Lurong Jiangu Dropping Pills, Gubao Capsules, etc.) can improve bone marrow microcirculation, promote osteoblast differentiation, and inhibit bone cell apoptosis through multiple pathways, multiple targets, and multiple mechanisms. Through the above three aspects, the TCM research status on GIOP is elucidated in the expectation of providing reference for its diagnosis and treatment using traditional Chinese and western medicine treatment programs.
Osteoporosis/physiopathology* ; Humans ; Glucocorticoids/adverse effects* ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Medicine, Chinese Traditional ; Bone Density/drug effects*

Abdominal war trauma is a common and high-risk type of injury in the modern battlefield,with rapid changes in condition and a high mortality rate.There is an urgent need for emerging medical technologies to improve the efficiency and success rate of first aid for military casualties.With the development of artificial intelligence(AI),5G,and other emerging technologies,the concept of intelligent medical treatment is gradually forming and can assist in the diagnosis and treatment of abdominal trauma.This paper reviews the characteristics of abdominal war trauma in modern wars,discusses the application of intelligent medical treatment for abdominal war trauma and its drawbacks to be solved,aiming to provide reference for research related to abdominal war trauma.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

Objective To study the mechanism of the amelioration of renal injury in immunoglobulin A nephropathy(IgAN)rats by multi-glycosides of Tripterygium wilfordii(GTW)based on the sphingosine kinase 1(Sphk1)/sphingosine 1-phosphate receptor 2(S1PR2)signalling pathway.Methods An IgAN rat model was established by means of bovine serum albumin gavage+castor oil and carbon tetrachloride subcutaneous injection+lipopolysaccharide tail vein injection.The rats were randomly divided into the model,control and experimental groups,with 9 rats in each group,and 10 normal rats were taken as the blank group.In the control group,6.25 mg·kg-1·d-1 prednisone was given by gavage;in the experimental group,9.375 mg·kg-1·d-1GTW was given by gavage;and in the blank and model groups,0.5 mL·100 g-1·d-1 0.9％NaCl was given by gavage,and the drugs were administered to the rats once a day in each group.At the end of the 15th week,urine samples were collected and blood albumin(ALB),blood urea nitrogen(BUN),24 hour-urine protein quantification(24 h-UTP),and urine erythrocyte counts were determined in each group,and the expression levels of Sphk1/S1PR2 proteins in each group were detected by Western blotting.Results The renal pathological changes in the control and experimental groups were significantly reduced compared with those in the model group by hematoxylin-eosin staining and immunofluorescence.The levels of ALB in the blank,model,control and experimental groups were(32.49±2.23),(22.98±0.51),(26.01±1.33)and(26.53±1.92)g·L-1;the levels of BUN were(6.11±1.71),(13.75±2.96),(6.71±1.35)and(4.77±0.99)mmol·L-1;the levels of 24 h-UTP were(5.72±1.96),(9.12±2.15),(5.78±2.05)and(4.75±1.50)mg·24 h-1;the urine erythrocyte counts were(9.73±2.40),(14.62±2.60),(9.90±1.59)and(9.46±2.94)cell·μL-1;the relative expression levels of Sphk1 protein were 0.85±0.02,1.47±0.02,1.06±0.02 and 1.09±0.02;the relative expression levels of S1PR2 protein were 0.27±0.02,0.88±0.01,0.43±0.02,and 0.42±0.02,respectively.The above indexes in the model group were statistically significant when compared with those of the control group and the experimental group(all P＜0.01).Conclusion GTW may reduce the proliferation of mesangial cells by inhibiting the Sphk1/S1PR2 signalling pathway,thus attenuating kidney injury in IgAN rats.

Objective:To explore the current situation of the intrinsic capacity of elderly people in the community and analyze its influencing factors.Methods:From September 2022 to March 2023, convenience sampling was used to select 360 elderly community residents from Xicheng District, Beijing, and Xingtai City, Hebei Province, as the research subjects. The subjects were surveyed using the Intrinsic Capacity Assessment Questionnaire, Intrinsic Capacity Influencing Factors Questionnaire, Barthel Index, and Lawton Instrumental Activities of Daily Living Scale.Results:A total of 360 questionnaires were distributed, and 360 valid questionnaires were collected, with an effective response rate of 100.0% (360/360). The overall impairment rate of intrinsic capacity among 360 elderly people in the community was 90.3% (325/360), and the impairment rates in various fields from high to low were sensation, psychology, vitality, cognition, and exercise. Multiple linear regression analysis showed that age, gender, residential pattern, education level, work status, grip strength, number of geriatric syndrome, self-rated health status, adverse life events, number of social activities, transportation conditions, and social security were the influencing factors of the intrinsic capacity of elderly people in the community, and the difference was statistically significant ( P<0.05) . Conclusions:The impairment rate of intrinsic capacity among elderly people in the community is relatively high. Grassroots medical and nursing staff should assess the intrinsic capacity of elderly people in the community in health promotion work, identify elderly people with decreased intrinsic capacity early and carry out effective interventions to prevent elderly people from becoming disabled and dependent on care.

Objective: To describe the distribution characteristics of hypertension among adult twins in the Chinese National Twin Registry (CNTR) and to provide clues for exploring the role of genetic and environmental factors on hypertension. Methods: A total of 69 220 (34 610 pairs) of twins aged 18 and above with hypertension information were selected from CNTR registered from 2010 to 2018. Random effect models were used to describe the population and regional distribution of hypertension in twins. To estimate the heritability, the concordance rates of hypertension were calculated and compared between monozygotic twins (MZ) and dizygotic twins (DZ). Results: The age of all participants was (34.1±12.4) years. The overall self-reported prevalence of hypertension was 3.8%(2 610/69 220). Twin pairs who were older, living in urban areas, married, overweight or obese, current smokers or ex-smokers, and current drinkers or abstainers had a higher self-reported prevalence of hypertension (P<0.05). Analysis within the same-sex twin pairs found that the concordance rate of hypertension was 43.2% in MZ and 27.0% in DZ, and the difference was statistically significant (P<0.001). The heritability of hypertension was 22.1% (95%CI: 16.3%- 28.0%). Stratified by gender, age, and region, the concordance rate of hypertension in MZ was still higher than that in DZ. The heritability of hypertension was higher in female participants. Conclusions: There were differences in the distribution of hypertension among twins with different demographic and regional characteristics. It is indicated that genetic factors play a crucial role in hypertension in different genders, ages, and regions, while the magnitude of genetic effects may vary.
Adult ; Female ; Humans ; Male ; Alcohol Drinking ; Diseases in Twins/genetics* ; Hypertension/genetics* ; Twins, Dizygotic/genetics* ; Twins, Monozygotic/genetics*

Objective: To describe the distribution characteristics of hyperlipidemia in adult twins in the Chinese National Twin Registry (CNTR) and explore the effect of genetic and environmental factors on hyperlipidemia. Methods: Twins recruited from the CNTR in 11 project areas across China were included in the study. A total of 69 130 (34 565 pairs) of adult twins with complete information on hyperlipidemia were selected for analysis. The random effect model was used to characterize the population and regional distribution of hyperlipidemia among twins. The concordance rates of hyperlipidemia were calculated in monozygotic twins (MZ) and dizygotic twins (DZ), respectively, to estimate the heritability. Results: The age of all participants was (34.2±12.4) years. This study's prevalence of hyperlipidemia was 1.3% (895/69 130). Twin pairs who were men, older, living in urban areas, married,had junior college degree or above, overweight, obese, insufficient physical activity, current smokers, ex-smokers, current drinkers, and ex-drinkers had a higher prevalence of hyperlipidemia (P<0.05). In within-pair analysis, the concordance rate of hyperlipidemia was 29.1% (118/405) in MZ and 18.1% (57/315) in DZ, and the difference was statistically significant (P<0.05). Stratified by gender, age, and region, the concordance rate of hyperlipidemia in MZ was still higher than that in DZ. Further, in within-same-sex twin pair analyses, the heritability of hyperlipidemia was 13.04% (95%CI: 2.61%-23.47%) in the northern group and 18.59% (95%CI: 4.43%-32.74%) in the female group, respectively. Conclusions: Adult twins were included in this study and were found to have a lower prevalence of hyperlipidemia than in the general population study, with population and regional differences. Genetic factors influence hyperlipidemia, but the genetic effect may vary with gender and area.
Adult ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; China/epidemiology* ; Diseases in Twins/genetics* ; Hyperlipidemias/genetics* ; Metabolic Diseases ; Twins, Dizygotic ; Twins, Monozygotic/genetics*

Objective: To investigate the clinicopathological features, treatment, and prognosis of hepatic angiosarcoma. Methods: Clinicopathological data and prognostic conditions of 18 cases with hepatic angiosarcoma were collected retrospectively. The recurrence-free survival rate and overall survival rate were calculated by the Kaplan-Meier method. A Cox regression analysis was used to explore the survival-related risk factors. Results: There were 12 male and 6 female patients, with an average age of 57 (37 ~ 70) years. The tumor's average diameter was 8.40 (2.00 ~ 18.00) cm. Seven cases had multiple tumors, while two cases had large vessel tumor thrombuses. Microscopically, the tumor tissues were irregularly anastomosed, with vascular lacunar or solid bundle-like weaving, and the tissue morphology mimicked capillary hemangioma, cavernous hemangioma, or angioepithelioma, while tumor cells were spindle-shaped or epithelioid, lined with hobnails in the lumen, or formed papillary structures in the lumen. The proportion of highly, moderately, and poorly differentiated tumors was 4:8:6, with six cases having clear tumor boundaries, eight having microvascular tumor thrombi, and sixteen having blood lake formation. Different levels of expression of CD31, CD34, erythroblast transformation-specific related genes, and Fli-1 markers were demonstrated in all of the cases. Four cases had a P53 mutation, and six cases had Ki-67 > 10%. During the follow-up period of 0.23-114.20 months, the five-year recurrence-free survival rate and overall survival rate were 16.7% and 37.2%, respectively. Cox regression multivariate analysis showed that preoperative symptoms and multiple tumors were significant risk factors for recurrence-free survival, while preoperative symptoms and Ki-67 > 10% were significant risk factors for overall survival. Conclusion: Hepatic angiosarcoma is a rare hepatic mesenchymal tumor with high malignancy and a poor prognosis. Pathological morphology and immunohistochemical marker combinations are needed for a definite diagnosis. However, the complexity of angiosarcomas' histological and cytological conformations and the overlap of pathological features with benign vascular tumors, sarcomas, and carcinomas pose difficulties in the differential diagnosis. Thus, the only effective ways to prolong survival are early detection and radical surgical resection.
Humans ; Male ; Female ; Middle Aged ; Hemangiosarcoma ; Ki-67 Antigen ; Retrospective Studies ; Biomarkers, Tumor/metabolism* ; Prognosis ; Liver Neoplasms/pathology*

Objective: To establish a predictive model for survival benefit of patients with intrahepatic cholangiocarcinoma (ICC) who received adjuvant chemotherapy after radical resection. Methods: The clinical and pathological data of 249 patients with ICC who underwent radical resection and adjuvant chemotherapy at 8 hospitals in China from January 2010 to December 2018 were retrospectively collected. There were 121 males and 128 females,with 88 cases>60 years old and 161 cases≤60 years old. Feature selection was performed by univariate and multivariate Cox regression analysis. Overall survival time and survival status were used as outcome indicators,then target clinical features were selected. Patients were stratified into high-risk group and low-risk group,survival differences between the two groups were analyzed. Using the selected clinical features, the traditional CoxPH model and deep learning DeepSurv survival prediction model were constructed, and the performance of the models were evaluated according to concordance index(C-index). Results: Portal vein invasion, carcinoembryonic antigen>5 μg/L,abnormal lymphocyte count, low grade tumor pathological differentiation and positive lymph nodes>0 were independent adverse prognostic factors for overall survival in 249 patients with adjuvant chemotherapy after radical resection (all P<0.05). The survival benefit of adjuvant chemotherapy in the high-risk group was significantly lower than that in the low-risk group (P<0.05). Using the above five features, the traditional CoxPH model and the deep learning DeepSurv survival prediction model were constructed. The C-index values of the training set were 0.687 and 0.770, and the C-index values of the test set were 0.606 and 0.763,respectively. Conclusion: Compared with the traditional Cox model, the DeepSurv model can more accurately predict the survival probability of patients with ICC undergoing adjuvant chemotherapy at a certain time point, and more accurately judge the survival benefit of adjuvant chemotherapy.

Objectives: To construct a nomogram for prediction of intrahepatic cholangiocarcinoma (ICC) lymph node metastasis based on inflammation-related markers,and to conduct its clinical verification. Methods: Clinical and pathological data of 858 ICC patients who underwent radical resection were retrospectively collected at 10 domestic tertiary hospitals in China from January 2010 to December 2018. Among the 508 patients who underwent lymph node dissection,207 cases had complete variable clinical data for constructing the nomogram,including 84 males,123 females,109 patients≥60 years old,98 patients<60 years old and 69 patients were pathologically diagnosed with positive lymph nodes after surgery. Receiver operating characteristic curve was drawn to calculate the accuracy of preoperative imaging examinations to determine lymph node status,and the difference in overall survival time was compared by Log-rank test. Partial regression squares and statistically significant preoperative variables were screened by backward stepwise regression analysis. R software was applied to construct a nomogram,clinical decision curve and clinical influence curve,and Bootstrap method was used for internal verification. Moreover,retrospectively collecting clinical information of 107 ICC patients with intraoperative lymph node dissection admitted to 9 tertiary hospitals in China from January 2019 to June 2021 was for external verification to verify the accuracy of the nomogram. 80 patients with complete clinical data but without lymph node dissection were divided into lymph node metastasis high-risk group and low-risk group according to the score of the nomogram among the 858 patients. Log-rank test was used to compare the overall survival of patients with or without lymph node metastasis diagnosed by pathology. Results: The area under the curve of preoperative imaging examinations for lymph node status assessment of 440 patients was 0.615,with a false negative rate of 62.8% (113/180) and a false positive rate of 14.2% (37/260). The median survival time of 207 patients used to construct a nomogram with positive or negative postoperative pathological lymph node metastases was 18.5 months and 27.1 months,respectively (P<0.05). Five variables related to lymph node metastasis were screened out by backward stepwise regression analysis,which were combined calculi,neutrophil/lymphocyte ratio,albumin,liver capsule invasion and systemic immune inflammation index,according to which a nomogram was constructed with concordance index(C-index) of 0.737 (95%CI: 0.667 to 0.806). The C-index of external verification was 0.674 (95%CI:0.569 to 0.779). The calibration prediction curve was in good agreement with the reference curve. The results of the clinical decision curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.32,the maximum net benefit could be obtained by 0.11,and the cost/benefit ratio was 1∶2. The results of clinical influence curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.6,the probability of correctly predicting lymph node metastasis could reach more than 90%. There was no significant difference in overall survival time between patients with high/low risk of lymph node metastasis assessed by the nomogram and those with pathologically confirmed lymph node metastasis or without lymph node metastasis (Log-rank test:P=0.082 and 0.510,respectively). Conclusion: The prediction accuracy of preoperative nomogram for ICC lymph node metastasis based on inflammation-related markers is satisfactory,which can be used as a supplementary method for preoperative diagnosis of lymph node metastasis and is helpful for clinicians to make personalized decision of lymph node dissection for patients with ICC.