Objective: To investigate the factors influencing intraoperative blood transfusion in patients with hip fractures and to develop a machine learning (ML) model for predicting this risk. Methods: A total of 424 patients with hip fractures who underwent surgical treatment between November 2022 and March 2025 in our hospital were selected. Key feature variables of intraoperative blood transfusion risk were identified using the Boruta algorithm. Four different ML algorithms—support vector machine (SVM), linear discriminant analysis (LDA), mixed discriminant analysis (MDA), and extreme gradient boosting (XGBoost)—were used to develop predictive models for intraoperative blood transfusion risk. The predictive performance of the four ML models were evaluated using accuracy, precision, receiver operating characteristic (ROC) curves, precision-recall curves (PRC), precision-recall gain curves (PRGC), and F1 scores. Shapley additive interpretation (SHAP) was used to interpret the final model. Results: Among the 424 patients, 77(18.2%) received intraoperative blood transfusion. The Boruta algorithm identified albumin (ALB), activated partial thromboplastin time (APTT), types of anesthesia, types of fracture, and hemoglobin (Hb) as key feature variables for predicting intraoperative blood transfusion risk. In model evaluation, the SVM model outperforms the other three models across multiple metrics, including the area under the receiver operating characteristic curve (AUC), recall, recall gain, accuracy, precision, F1 score, and the area under the precision-recall curve (PRC-AUC). The SVM model, interpreted and visualized based on SHAP values, effectively predicted intraoperative blood transfusion risk in patients with hip fracture. A visual online application was developed based on the SVM model (https://pbo-nomogram.shinyapps.io/blood/). Conclusion: Preoperative low ALB and Hb levels, prolonged APTT, general anesthesia, and intertrochanteric fractures are risk factors for intraoperative blood transfusion in hip fracture patients. The risk prediction model for intraoperative blood transfusion constructed based on the SVM algorithm has optimal performance, which provides new ideas and methods for the clinical early identification of hip fracture patients with high transfusion risk and the implementation of targeted interventions.

The construction of a training system for visiting physicians in the department of rare diseases in China is an important measure to improve the overall diagnosis and treatment capacity for rare diseases and address the critical challenge of insufficient knowledge and skills among clinicians in practice. This article systematically describes the visiting physician training system established by the Department of Rare Diseases at Peking Union Medical College Hospital. It summarizes the training objectives and positioning, design logic, and learning modules of the system, aiming to provide a reference for the construction of the specialized talent team for rare diseases in China.

Background Breast cancer is one of the most common malignant tumors among women worldwide. The occurrence of breast cancer is related to multiple factors, including genetics, hormone levels, environmental pollution, and lifestyle. In recent years, more and more studies have begun to focus on the impact of environmental pollutants on breast cancer, but relevant research in China is still relatively limited. Objective To evaluate the association between phthalate exposure and the risk of breast cancer in adult women. Methods Data were extracted from the National Health and Nutrition Examination Survey (NHANES) 2015–2023. Participants were categorized into breast cancer cases and non-cancer controls based on Medical Conditions Questionnaire. Urine samples from included participants were analyzed using high-performance liquid chromatography coupled with electrospray ionization tandem mass spectrometry (HPLC-ESI-MS/MS) to measure twelve phthalate metabolites: mono(2-ethyl-5-carboxypentyl) phthalate (MECPP), mono(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP), monoisobutyl phthalate (MiBP), mono(2-ethyl-5-oxohexyl) phthalate (MEOHP), etc. Logistic regression was used to investigate the association between phthalate exposure and breast cancer. Multiple comparisons were adjusted using the Bonferroni correction. Weighted quantile sum (WQS) regression was applied to assess the effects of mixed phthalate exposure. Sensitivity analyses were conducted including Bootstrap resampling, extreme value exclusion, and propensity score matching (PSM). Restricted cubic spline models were constructed to characterize potential dose-response relationships. Results A total of 1486 adult female participants were included, comprising 89 breast cancer cases. Levels of MECPP, MEHHP, MiBP, and MEOHP metabolites were significantly higher in the breast cancer cases compared to the controls (P<0.05). The logistic regression results showed that MECPP (OR=1.011, 95%CI: 1.002, 1.020) and MiBP (OR=1.020, 95%CI: 1.009, 1.030) were independent risk factors for breast cancer. After Bonferroni correction, the association between MiBP and breast cancer remained statistically significant (P<0.001). The WQS regression model adjusted for selected covariates showed that the combined phthalate exposure was associated with an increased breast cancer risk (OR=1.421, 95%CI: 1.183, 1.714, P<0.001). The mixed exposure analysis revealed that MiBP (weight=0.38), MECPP (weight=0.22), and MEOHP (weight=0.15) contributed 75% of the cumulative weight, highlighting their dominant influence on the association between phthalate mixtures and disease risk. The MiBP-breast cancer association remained robust across sensitivity analyses. Dose-response modeling indicated linear trends for both MECPP and MiBP (P_nonlinearity>0.05), with no evidence of non-linear associations. Conclusion High-level phthalate exposure is significantly associated with an increased risk of breast cancer in adult women. Among the metabolites studied, MiBP is identified as the most robust risk factor and MECPP also demonstrates a notable association. Furthermore, our findings suggest that phthalate mixtures may exert synergistic effects, collectively elevating breast cancer risk.

OBJECTIVE To explore the mechanism by which Qingre antai decoction improves pregnancy outcomes of threatened abortion rats with blood heat syndrome. METHODS The pregnant rats were randomly divided into normal group， model group， dydrogesterone group （0.002 g/kg）， and Qingre antai decoction group （44.1 g/kg）， with 13 rats in each group. Except for normal group， other groups were given warming-yang Chinese medicine and corresponding drugs intragastrically， once a day， for 12 consecutive days. On the 13th day of pregnancy， a single intragastric administration of mifepristone （5 mg/kg） was performed to establish a model of threatened abortion with blood heat syndrome. On the 14th day of pregnancy， the abortion rate and uterine coefficient were calculated； the pathological morphology of pregnant uterine was observed； the serum levels of 3，5，3′-triiodothyronine （T3）， thyroid hormone （T4）， thyroid stimulating hormone （TSH）， as well as the levels of vascular endothelial growth factor （VEGF） and nitric oxide （NO） in the pregnant uterus were all determined； the expressions of mRNA and protein related to Janus kinase 2 （JAK2）/signal transducer and activator of transcription 3 （STAT3） and phosphatidylinositol 3-kinase （PI3K）/protein kinase B （AKT） pathways were detected. RESULTS Compared with normal group， the model group exhibited endometrial tissue damage， a reduced number of decidual cells， and a significant presence of blood stasis within the uterus； abortion rate， the serum levels of T3， T4 and TSH， the mRNA expressions of JAK2， STAT3 and suppressor of cytokine signaling 3 （SOCS3） as well as protein expressions of p-JAK2， p-STAT3 and SOCS3 in the pregnant uterus were increased significantly （ P ＜0.05）； uterine coefficient， the levels of VEGF and NO in pregnant uterus， mRNA expressions of VEGFR2， PI3K， AKT and endothelial nitric oxide synthase（eNOS）， protein expressions of VEGFR2， PI3K and eNOS as well as phosphorylation level of AKT in the pregnant uterus were significantly reduced （ P ＜0.05）. Compared with model group， the endometrial tissue damage and congestion in the Qingre antai decoction group were significantly improved， and the levels of the aforementioned quantitative indicators were significantly reversed （ P ＜0.05）. CONCLUSIONS Qingre antai decoction can improve the pregnancy outcomes in rats with threatened abortion of blood heat syndrome， the mechanism of which may be associated with inhibiting JAK2/STAT3 pathway and activating PI3K/AKT pathway.

Objective To explore the risk factors for mineral and bone disorder in maintenance hemodialysis patients, and to construct and validate a nomogram prediction model. Methods A total of 306 patients undergoing maintenance hemodialysis at Shanghai Eighth People’s Hospital from January 2021 to May 2025 were selected as study subjects and randomly divided into a training set (n＝214) and a validation set (n＝92) in a 7∶3 ratio. In the training set, patients were divided into a normal bone mineral metabolism group and an abnormal bone mineral metabolism group, and related factors were compared between the two groups. The multivariate logistic regression analysis was used to identify the influencing factors of mineral and bone disorder in maintenance hemodialysis patients in the training set, and a nomogram prediction model was constructed. ROC curves were drawn to evaluate the ability of the nomogram model for predicting mineral and bone disorder in these patients. Calibration curves and Hosmer-Lemeshow goodness-of-fit test were used to analyze the consistency of the predictive probability of nomogram model and actual probability of mineral and bone disorder in these patients. The decision curve was used to assess the clinical benefit using nomogram prediction model. Results Among the 306 hemodialysis patients, 254 patients had mineral and bone disorder, accounting for 83.01%. Among the 214 patients in the training set, 177 had mineral and bone disorder, accounting for 82.71%. In the training set, age, gender, body mass index (BMI), hypertension rate, dialysis age, blood urea nitrogen (BUN), hemoglobin (Hb), albumin (ALB), alkaline phosphatase (ALP), serum creatinine (SCr), uric acid (UA), estimated glomerular filtration rate (eGFR), and rate of taking phosphate binders were statistically significant different between the two groups (P＜0.05). The multivariate logistic regression analysis showed higher age, female, hypertension, longer dialysis duration, decreased eGFR, and not taking phosphate binders were identified as risk factors for mineral and bone disorder in maintenance hemodialysis patients (P＜0.01). The nomogram prediction model was constructed. The area under the ROC curve of the model for mineral and bone disorder in the training set and validation set was 0.895 (95%CI 0.850-0.941) and 0.881 (95%CI 0.830-0.932), respectively, with maximum Youden indice of 0.650 and 0.600, sensitivity of 0.856 and 0.849, and specificity of 0.794 and 0.751. The Hosmer-Lemeshow test showed the nomogram prediction model had good consistency in predictive probabilities with actual probabilities in training set and validation set. The decision curve showed the nomogram model could bring clinical net benefits when the threshold probabilities in the training set and validation set were less than 0.96 and 0.91. Conclusions The nomogram prediction model constructed based on six independent risk factors including age, gender, hypertension, dialysis duration, eGFR, and using phosphate binders or not, shows good discrimination and calibration, with good clinical predictive ability, which could provide guidance for the management of maintenance hemodialysis patients.

As a patented characteristic medicine of Yi ethnic minority， Pingxuan capsules have the effects of nourishing the liver and kidney， pacifying the liver， and subduing Yang. With the main indications of dizziness， headache， palpitations， tinnitus， insomnia， dreaminess， waist and knee soreness caused by liver-kidney deficiency and liver Yang upward disturbance， Pingxuan capsules are widely used in the treatment of posterior circulation ischemic vertigo， vestibular migraine， benign paroxysmal positional vertigo. However， the current knowledge is limited regarding the efficacy， syndrome differentiation， and safety of this medicine. On the basis of summarizing the experience of clinicians and the existing evidence， this study invites clinical experts of traditional Chinese and Western medicine， pharmaceutical experts， and methodological experts from relevant fields across China to conduct evidence-based evaluation of Pingxuan capsules. The evaluation follows the Specifications for the Development of Clinical Expert Consensus on Chinese Patent Medicines issued by the Standardization Office of the China Association of Chinese Medicine， and reaches 5 recommendations and 16 consensus suggestions. The consensus clarifies the clinical applications， efficacy， dose， course of treatment， combination of medicines， precautions， and contraindications of Pingxuan capsules in the treatment of vertigo and explains the safety of clinical application. This consensus is applicable to clinicians （traditional Chinese medicine， Western medicine， and integrated traditional Chinese and Western medicine） and pharmacists in tertiary hospitals， secondary hospitals， and community-level medical and health institutions across China， providing a reference for the rational use of Pingxuan capsules in the treatment of vertigo. It is hoped that the promotion of this consensus can facilitate the rational use of drugs in clinical practice， reduce the risk of drug use， and give full play to the advantages of Pingxuan capsules in the treatment of vertigo diseases. This consensus has been reviewed and published by the China Association of Chinese Medicine， with the number GS/CACM330-2023.

Objective:To establish a quality control method for the standard decoction of Polygoni Avicularis Herba.Methods:Totally 12 batches of decoction pieces from different origins were collected, the standard decoction was prepared and the quality evaluation method was established, the content of index components in the decoction pieces and the standard decoction was determined with HPLC, the index components, solution pH and other parameters were calculated, and the similarity analysis was carried out against the fingerprints.Results:The total content of myricetin in 12 batches of decoction pieces was >0.12%, and the content of myricetin in the standard decoction was >0.03%, which met the standard of the 2020 edition of the Chinese Pharmacopoeia. The pH value was 5.1-5.5, the transfer rate of myricetin components ranged from 50.0%-106.3%, and the fingerprint study showed that there were 7 common peaks. The similarity analysis results indicated that the standard decoction of 12 batches of decoction pieces of Polygoni Avicularis Herba had good consistency.Conclusion:The preparation process is stable and feasible in line with the traditional decoction preparation method, and can be used for the research and quality evaluation of the standard decoction.

BACKGROUND:Zinc-based alloy medical implant materials have excellent mechanical properties,complete degradability and good biocompatibility,and are mainly used in orthopedic implants,cardiovascular stents,bile duct stents,tracheal stents,nerve catheters,etc. OBJECTIVE:To review the research progress of biodegradable zinc-based alloys in bone defect repair and prospect the promising research direction and achievements of zinc-based materials. METHODS:After searching PubMed,Web of Science,WanFang Data,and CNKI databases from the establishment of the database to June 2023,various relevant articles on biodegradable zinc-based alloys for bone implant material research were collected.The basic characteristics of biodegradable zinc based alloys were summarized,and the role of zinc-based alloys in promoting bone tissue repair was sorted and summarized.The current research hotspots and shortcomings were discussed. RESULTS AND CONCLUSION:(1)Zinc-based alloys have good biocompatibility.Using zinc-based alloys as the matrix material,with the help of scaffold structure construction technology and coating optimization process,the bone conductivity of zinc-based alloys will be effectively improved,and their degradation products will have efficient bone induction to regulate the gene expression of osteoblasts and osteoclasts,thereby promoting the repair and reconstruction of bone defects.(2)However,in the research on optimizing zinc-based alloys,the coating process is relatively insufficient,and additive loading technology is still lacking.(3)Zinc-based alloys have excellent mechanical and biological properties.Through special processes,their bone conductivity and osteoinductivity can be increased to effectively improve their ability to promote bone repair and reconstruction,and it is expected to further achieve the development of personalized transplant materials.Further research and development are needed to optimize the integration of coating and additive loading technologies into zinc-based alloys.

Objective: The CT/MRI Liver Imaging Reporting and Data System (LI-RADS) demonstrates high specificity with relatively limited sensitivity for diagnosing hepatocellular carcinoma (HCC) in high-risk patients. This study aimed to explore the possibility of improving sensitivity by combining CT/MRI LI-RADS v2018 with second-line contrast-enhanced ultrasound (CEUS) LI-RADS v2017 using sulfur hexafluoride (SHF) or perfluorobutane (PFB). Materials and Methods: This retrospective analysis of prospectively collected multicenter data included high-risk patients with treatment-naive hepatic observations. The reference standard was pathological confirmation or a composite reference standard (only for benign lesions). Each participant underwent concurrent CT/MRI, SHF-enhanced US, and PFB-enhanced US examinations. The diagnostic performances for HCC of CT/MRI LI-RADS alone and three combination strategies (combining CT/ MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or a modified algorithm incorporating the Kupffer-phase findings for PFB [modified PFB]) were evaluated. For the three combination strategies, apart from the CT/MRI LR-5 criteria, HCC was diagnosed if CT/MRI LR-3 or LR-4 observations met the LR-5 criteria using LI-RADS SHF, LI-RADS PFB, or modified PFB. Results: In total, 281 participants (237 males; mean age, 55 ± 11 years) with 306 observations (227 HCCs, 40 non-HCC malignancies, and 39 benign lesions) were included. Using LI-RADS SHF, LI-RADS PFB, and modified PFB, 20, 23, and 31 CT/MRI LR-3/4 observations, respectively, were reclassified as LR-5, and all were pathologically confirmed as HCCs. Compared to CT/MRI LI-RADS alone (74%, 95% confidence interval [CI]: 68%–79%), the three combination strategies combining CT/MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or modified PFB increased sensitivity (83% [95% CI: 77%–87%], 84% [95% CI: 79%–89%], 88% [95% CI: 83%–92%], respectively; all P < 0.001), while maintaining the specificity at 92% (95% CI: 84%–97%). Conclusion The combination of CT/MRI LI-RADS with second-line CEUS using SHF or PFB improved the sensitivity of HCC diagnosis without compromising specificity.

Objective To observe the clinical efficacy of Tongyuan acupuncture in the treatment of acute gouty arthritis.Methods A total of 126 cases of patients with definitive diagnosis of acute gouty arthritis admitted to the wards and outpatient clinics of Guangzhou Nansha District Hospital of Traditional Chinese Medicine from November 2023 to June 2024 were selected as the study subjects.The patients were randomly divided into observation group and control group according to the random number table method,with 63 cases in each group.The control group was given health training and conventional treatment,while the observation group was given Tongyuan acupuncture on the basis of treatment in the control group.Patients in both groups were treated for 14 consecutive days.After two weeks of treatment,the clinical efficacy of the two groups was evaluated.The changes in the clinical symptom scores,the Visual Analogue Scale(VAS)scores of pain,the levels of musculoskeletal ultrasonography(synovial proliferation,blood flow signals,and joint fluid)before and after the treatment were observed in patients of both groups.The changes of blood uric acid(UA),erythrocyte sedimentation rate(ESR),C-reactive protein(CRP),tumor necrosis factor α(TNF-α),and interleukin 1(IL-1)before and after treatment were compared between the two groups.Results(1)The total effective rate was 95.24%(60/63)in the observation group and 84.13%(53/63)in the control group.The efficacy of the observation group was superior to that of the control group,the difference being statistically significant(P<0.05).(2)After treatment,the clinical symptom scores and VAS scores of the patients in the two groups were improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).(3)After treatment,the serum UA,ESR,and CRP levels of patients in the two groups were improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).(4)After treatment,the TNF-α and IL-1 levels of patients in the two groups were improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).(5)After treatment,the musculoskeletal ultrasound indicators of the two groups of patients were improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).Conclusion Tongyuan acupuncture in the treatment of acute gouty arthritis can significantly improve the clinical symptoms of patients,reduce the level of patients'blood UA and inflammatory factor.