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 engineering application of microbially induced carbonate precipitation(MICP)is limited by pH-dependent conformational dynamics of urease.Focusing on the α-subunit urease from Sporosarcina pasteurii,this study integrated conductivity experiments and constant-pH molecular dynamics simulations to analyze active site conformational dynamics and catalytic function across pH 3-11.Results showed that under neutral conditions(pH 7-8),key histidine residues(HIS139/HIS249)exhibited minimal dis-placement(＜0.5 ?),the longest hydrogen bond lifetime(＞8 ps),highest conformational stability(root mean square deviation,RMSD:0.15-0.18 nm),and optimal catalytic activity(conductivity change rate:0.03 mS/cm·min-1,CaCO3 precipitation:3.84 g).Extreme pH(pH 3/11)induced structural collapse(displacement up to 1.8 ?)and complete activity loss.Simulations revealed that neutral pH sta-bilizes a protonation-dependent cooperative allosteric network by maintaining active site cavity volume(～120 ?3)and moderate conformational coherence(correlation coefficient～0.8).This work deciphers the molecular mechanism of pH-regulated urease dynamics through protonation states,providing theoreti-cal support for MICP applications in acidic mine tailing remediation and alkaline soil stabilization.

Objective:To investigate the diagnostic value of preoperative fine-needle aspiration (FNA) of lymph nodes combined with washout thyroglobulin testing (FNA-Tg) for detecting lymph node metastasis in papillary thyroid carcinoma (PTC).Methods:A prospective study was conducted on 112 patients diagnosed with PTC at Wenzhou Central Hospital from December 2021 to December 2023, all of whom had suspicious lateral cervical lymph node metastasis identified through preoperative ultrasound. All patients underwent lymph node FNA and FNA-Tg. The suspicious lymph nodes were surgically excised. The diagnostic efficacy of FNA, FNA-Tg, and the combination of FNA and FNA-Tg for PTC with lymph node metastasis was compared.Results:A total of 112 patients were identified with 120 lymph nodes, among which 98 lymph nodes were confirmed to have metastasis by pathology. The results of the FNA cytology examination revealed 83 positive cases and 37 negative cases. The accuracy, sensitivity, and specificity for diagnosing lateral cervical lymph node metastasis were 80.83%, 80.61%, and 81.82%, respectively. In the FNA-Tg, there were 89 positive cases and 31 negative cases, with accuracy, sensitivity, and specificity for diagnosing lateral cervical lymph node metastasis at 89.17%, 88.78%, and 90.91%, respectively. When FNA and FNA-Tg were used in combination, there were 101 positive cases and 19 negative cases; the accuracy, sensitivity, and specificity for diagnosing lateral cervical lymph node metastasis were 94.17%, 97.96%, and 77.27%, respectively. The combined use of FNA and FNA-Tg demonstrated significantly higher accuracy in diagnosing metastatic lateral cervical lymph nodes in PTC compared to FNA and FNA-Tg alone ( χ2 = 50.64, P < 0.001; χ2 = 64.81, P < 0.001). Conclusions:The combined use of FNA and FNA-Tg demonstrates high accuracy in diagnosing lateral cervical lymph node metastasis in PTC.

Background and Aims:Whether to close mesenteric fissures during laparoscopic radical resection of colorectal cancer remains controversial.Traditional suture closure is technically demanding and may injure mesenteric vessels.This study aimed to evaluate the safety and efficacy of using α-cyanoacrylate medical glue to close mesenteric fissures during laparoscopic colorectal cancer surgery.Methods:A retrospective analysis was conducted on patients who underwent laparoscopic radical resection of colorectal cancer in the Department of Colorectal Surgery,the Sixth Affiliated Hospital of Sun Yat-sen University,from January 2022 to December 2023.Seventy-eight patients who received intraoperative α-cyanoacrylate glue closure of mesenteric fissures were included as the observation group,and 74 patients without fissure closure were selected as the control group using the propensity score matching method.Perioperative parameters,postoperative recovery,and complications were compared between the two groups.Results:No significant differences were observed in baseline characteristics or main intraoperative variables between groups(all P>0.05).The observation group had significantly less ascitic drainage within 3 days after operation[(203.14±116.44)mL vs.(384.53±243.89)mL,P<0.01]and shorter postoperative gas passage,defecation,and drainage tube removal times(all P<0.01).The incidence of postoperative complications and intestinal obstruction was comparable between groups(all P>0.05).Multivariate analysis showed that intraoperative application of α-cyanoacrylate glue was an independent promoting factor for intestinal exhaust within 3 days after surgery(OR=5.739,P=0.000).Conclusion:The use of α-cyanoacrylate medical glue for closing mesenteric fissures during laparoscopic radical resection of colorectal cancer is safe and feasible.It effectively reduces postoperative ascitic drainage and accelerates bowel recovery,offering a simple and reliable alternative to traditional suture closure.

Inflammatory breast cancer(IBC)is a rare but highly aggressive subtype of breast cancer characterized by rapid clinical progression and poor prognosis.Although it accounts for only 2%-4%of all breast cancer cases,it is responsible for 8%-10%of breast cancer-related mortality.The etiology of IBC is multifactorial,involving genetic,hormonal,environmental,and socioeconomic factors.Pathologically,IBC is marked by the presence of dermal lymphatic tumor emboli,and molecular subtypes are predominantly HER2-positive and triple-negative,indicating high tumor invasiveness.Diagnosis relies on characteristic clinical manifestations and histopathological confirmation,while imaging techniques such as MRI and PET/CT play important roles in evaluating disease extent and metastasis.Given that IBC is often diagnosed at a locally advanced or metastatic stage,there is currently no specific treatment protocol.Instead,management generally follows the treatment paradigm of non-IBC,emphasizing systemic therapy within a multidisciplinary framework.HER2-positive IBC benefits from chemotherapy combined with dual-targeted anti-HER2 therapy;triple-negative IBC may respond to immune checkpoint inhibitors;and CDK4/6 inhibitors show potential efficacy in hormone receptor-positive subtypes.Despite advancements,the prognosis remains poor,with a high risk of early recurrence and distant metastasis.Prognostic factors include lymph node involvement,molecular subtype,and response to neoadjuvant therapy.As research into the tumor microenvironment and molecular mechanisms deepens,targeted and individualized therapies hold promise for improving outcomes.This review summarizes the epidemiology,pathology,diagnostic criteria,treatment strategies,and prognostic factors of IBC,aiming to inform clinical practice and future research.

Objective To propose a low-dose CT image denoising method based on an improved Corediff model to recover the detailed features of the image and enhance the image quality.Methods An RS-Corediff model was established by modifying the key component U-Net network of the Corediff model.Firstly,the residual module was introduced in the network input stage for feature extraction;secondly,a new downsampling module was designed in the U-Net network encoder,which learned the semantic information of the feature map by convolution and maintained the learning state during the downsampling process so as to fully extract the image features;thirdly,the feature splicing processing was used to further enhance the learning effect during the upsampling process of the U-Net network decoder;finally,the convolutional kernel size was modified to adjust the sensory field during the convolutional process of the whole U-Net network structure so as to obtain rich features.The RS-Corediff model was compared with the residual encoder-decoder convolutional neural network(RED-CNN)model and the Corediff model on the public dataset AAPM 2016 in order to verify its effectiveness for low-dose CT image denoising.Results The RS-Corediff model gained advantages over the RED-CNN and Corediff models with a peak signal-to-noise ratio(PSNR)of 41.269 8,structural similarity(SSIM)of 0.953 4 and root mean square error(RMSE)of 17.568 7.Conclusion The proposed method effectively preserves the texture and details of low-dose CT images during the denoising process to improve the overall quality of the images.[Chinese Medical Equipment Journal,2025,46(5):9-13]

A method was developed for determination of dilauryl thiodipropionate(DLTDP)in fried foods by coupling solid-phase extraction(SPE)pretreatment with reverse-phase liquid chromatography-tandem mass spectrometry(RPLC-MS/MS)detection.Samples were extracted with n-hexane as the solvent,purified using a neutral alumina SPE cartridge,and finally analyzed by RPLC-MS/MS.Quantitative analysis was performed using matrix-matched calibration curves combined with an external standard method under optimal experimental conditions.The results showed that DLTDP exhibited good linearity in the range of 2.0-50.0 μg/L,with a correlation coefficient(R2)≥0.999.The limit of detection(LOD)and the limit of quantification(LOQ)of the method were 0.15 mg/kg and 0.5 mg/kg,respectively.The mean recoveries at three fortification levels(0.5,1.0,and 200 mg/kg)in different samples ranged from 84.8%to 96.8%,with the relative standard deviations(RSDs)all less than 8.0%.The developed method was highly sensitive,accurate and reliable,and easy to operate,making it well suited for the routine quantitative analysis of DLTDP in fried foods.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Purpose To explore the clinical and pathological features,differential diagnosis,treatment methods and prognosis of urachal adenocarcinoma.Methods Nineteen cases of urachal adenocarcinoma were collected and an-alyzed by combining clinical symptoms,auxiliary examinations,histology,immunohistochemical,and genetic testing and 11 cases of bladder adenocarcinomas.Results Among the 19 patients(15 males,4 females;age range:33-75 years,mean:55 years),tumors were located at the dome or anterior wall of the bladder.Histological subtypes includ-ed mucinous adenocarcinoma(6 cases),adenocarcinoma not otherwise specified(4 cases),enteric-type adenocarci-noma(6 cases),adenocarcinoma with focal mucinous differentiation(1 case),adenocarcinoma with signet-ring cell carcinoma(1 case),and metastatic urachal adenocarcinoma(1 case).Immunophenotypic analysis revealed membra-nous positivity for β-catenin,diffuse positivity for CK34βE 12,MUC-2,and CK20,focal CK7 positivity in some cases,and rare GATA-3 positivity.Mutations in p53 were observed,while KRAS,NRAS,BRAF,and PIK3CA mutations were absent.In colorectal adenocarcinomas,CK34βE12 positivity was 40％,nuclear β-catenin positivity was 48％,and MUC-2 expression was approximately 50％.In bladder adenocarcinomas,GATA-3 and MUC-2 positivity rates were 45％and 63.6％,respectively.Conclusion Distinguishing urachal adenocarcinoma from colorectal and primary bladder adenocarcinomas remains challenging.Urachal adenocarcinoma should be suspected in patients with anterior bladder wall or dome lesions,gross hematuria,or mucinuria.No definitive diagnostic markers currently exist for ura-chal adenocarcinoma.Immunophenotypic features such as membranous β-catenin,MUC-2,and CK7 positivity may fa-vor urachal adenocarcinoma over colorectal adenocarcinoma.Additional markers(e.g.,GATA-3,CK20,CK34βE12)aid in differential diagnosis,though individual markers lack specificity.Comprehensive evaluation integrating clinical presentation,imaging,and clinicopathological features is essential for accurate diagnosis.