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.

Persistent left superior vena cava is a rare venous variant that is often combined with cardiovascular malformations. In thoracic surgery, especially mediastinal tumor resection, neglect of this variant may make the surgery difficult and risky, and careful preoperative imaging interpretation and adequate preoperative evaluation play an important role in the perioperative safety of the patient. In this paper, we reported a case of a 17-year-old female patient with a persistent left superior vena cava combined with mediastinal tumors. She was successfully discharged 5 days after thoracoscopic surgery, and after 3 years of postoperative follow-up, no tumor recurrence was observed.

Tracheal intubation is the most commonly used way to establish artificial airway in intensive care unit patients, and it is the premise of respiratory support and treatment, the success of extubation is an important basis to measure the prognosis of patients. Influenced by many factors, extubation of patients may fail, resulting in prolonged hospitalization, increased medical expenses and increased incidence of complications. This article reviews the literature at home and abroad, and summarizes the main mechanism, risk factors and prevention strategies of extubation failure in intensive care unit patients, aiming at improving the recognition ability of clinical medical staff for extubation failure and providing reference for clinical management and follow-up research.

Objective:To analyze the association between inflammation-related dietary patterns and the risk for cognitive impairment in older adults aged ≥65 years in longevity areas in China by using reduced rank regression (RRR) analysis.Methods:This study used cross-sectional data from the 2021 Healthy Aging and Biomarkers Cohort Study, including the information about study participants' demographic characteristics, lifestyles, daily life activities, and disease histories. Dietary intake was obtained by using a simplified food frequency questionnaire. Cognitive impairment was evaluated based on the Mini-Mental State Examination Scale combined with years of education. Fasting venous blood samples were collected to detect inflammatory markers, especially high-sensitivity C-reactive protein (hs-CRP) and the platelet-to-lymphocyte ratio (PLR). RRR analysis was used to obtain inflammation-related dietary patterns using hs-CRP and PLR as response variables. Multivariate logistic regression model was used to analyze the association between dietary pattern score and the risk for cognitive impairment. Restricted cubic spline was used to explore the dose response relationship, and mediation analysis was used to quantify the mediating effects of hs-CRP and PLR.Results:Two dietary patterns were identified with RRR. The primary pattern was characterized by higher intakes of flour, red meat, and dairy products, and lower intake of fresh vegetables, explaining 6.84% of the variance in food intake and 0.50% of the variance in inflammatory markers. Compared with the T1 group, the T3 group had significantly higher risk for cognitive impairment ( OR=1.242, 95% CI: 1.034-1.491). Each one standard deviation increase in the dietary pattern score was associated with an 8.7% increase in the risk for cognitive impairment ( OR=1.087, 95% CI: 1.008-1.172), with a significant linear trend (overall-model P<0.001, non-linear P=0.295). Mediation analysis indicated that hs-CRP mediated 6.2% of the association between the dietary pattern and the risk for cognitive impairment. Conclusion:The inflammation- related dietary pattern characterized by higher consumption of flour, red meat, and dairy products and lower consumption of fresh vegetables is associated with an increased risk for cognitive impairment in older adults, and hs-CRP partially mediates this association.

Objective:To report the preliminary clinical exploration result of spatially fractionated radiation therapy (SFPT) using the pencil-beam-scanning (PBS) technique at a single center for the treatment of patients with bulky tumors.Methods:Data on the clinical characteristics, tumor characteristics, and dosimetric parameters were retrospectively collected from patients with bulky tumors at the Radiation Oncology Department, Ion Medical Center, First Affiliated Hospital of University of Science and Technology of China (i.e., the Hefei Ion Medical Center) from April 2024 to December 2024. Three-dimensional lattice radiotherapy (LRT) was primarily utilized in the SFRT, with multi-field robust optimization performed using pencil beam scanning. SFRT target volumes (STVs) were defined as 1.0 cm-diameter spheres. Primary observation indicators included the remission rate of tumor-associated symptoms, followed by the local tumor control rate.Results:A total of 12 patients were enrolled in this study, with a median age of 61 years (28-85 years). The primary tumors included hepatocellular carcinoma (six patients), sarcomas (three patients), and lung cancer (two patients). Eight patients received concurrent systemic therapy. The SFRT plans showed a median gross tumor volume (GTV) of 429.63 cm 3 (120.60-2 053.30 cm 3), a median STV number of 8 (3-20), a single-fraction dose to STVs of 10 GyE, a median irradiation quantity of 6 (3-8), a median STV of 8 cm 3 (3-20 cm 3), a median STV proportion of 2.09% (0.62%-3.30%), a median GTV corresponding to a single STV of 52.91 cm 3 (30.25-159.82 cm 3), and a median peak-to-valley dose ratio of 3.37 (2.29-7.60). All patients received conventionally fractionated proton therapy (CFPT), with a median prescription dose of 50 GyE (40-60 GyE). Furthermore, these patients showed a median follow-up time of 174 d (133-235 d), a remission rate of tumor-associated symptoms of 75%, and a local control rate of 100%. Four patients experienced grade 1-2 treatment-related adverse events, suggesting high overall tolerability of the patients. Conclusions:SFRT represents a promising technique with high control rates and tolerability for bulky tumors, providing the possibility for quick symptom relief and the control of tumor progression.

Objective:To investigate the association between blood selenium levels and sex hormones in Chinese men aged 18-79 years.Methods:Data were derived from the China National Human Biomonitoring survey conducted in 2017-2018, with a final sample size of 5 414 men. General demographic characteristics, behavioral habits, and dietary frequency were collected through questionnaires and physical examinations. Fasting blood samples were collected to measure blood lead, serum testosterone, and estradiol levels. Complex sampling linear regression models were used to analyze the associations between blood selenium levels and testosterone, estradiol, and the testosterone/estradiol ratio, adjusting for confounding factors including age, education level, marital status, smoking status, alcohol consumption, seafood intake, soy product intake, protein supplement intake, BMI, and diabetes status.Results:The mean age of the 5 414 participants was (46.85±27.91) years; 4 774 (91.65%) were of Han ethnicity and 4 505 (86.68%) were married. The median ( Q1, Q3) blood selenium concentration in men was 97.80 (80.64, 116.99) μg/L. After adjusting for confounding factors, the complex sampling linear regression model revealed negative associations between blood selenium levels and both testosterone levels and the testosterone/estradiol ratio, with a significant linear trend ( Ptrend<0.05). Compared with the Q1 group, the β (95% CI) values for testosterone in the Q2, Q3, and Q4 groups were -0.02 (-0.06 to 0.02), -0.03 (-0.08 to 0.01), and -0.06 (-0.09 to -0.02), respectively. Similarly, the β (95% CI) values for the testosterone/estradiol ratio in the Q2, Q3, and Q4 groups were -0.01 (-0.03 to 0.02), -0.01 (-0.04 to 0.04), and -0.03 (-0.06 to -0.01), respectively. Subgroup analysis indicated stronger associations between blood selenium levels and testosterone/estradiol levels in non-smoking and obese men (BMI≥28 kg/m2). Conclusion:Blood selenium levels are negatively associated with testosterone levels and the testosterone/estradiol ratio in Chinese adult males.

Objective:To explore the association of blood and urinary cadmium levels with lipid profile levels and dyslipidemia in Chinese adults aged 18 to 79 years.Methods:Based on the China National Human Biomonitoring (CNHBM) program, a cross-sectional survey was conducted from 2017 to 2018 using a multi-stage stratified random sampling method, including a total of 10 713 adults aged 18 to 79 years. Data was obtained through questionnaires, physical examinations, biological sample collection, and laboratory testing. Multiple linear mixed effect model (MLMM) and generalized linear mixed effect model (GLMM) were used to analyze the association of blood and creatinine-corrected urinary cadmium levels with lipid profile levels as well as dyslipidemia among adults.Results:The age of 10 713 participants was (47.23±0.24) years, with 5 372 males accounting for 61.3% of the national population. The weighted mean±standard error (SE) of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) was (5.21±0.03), (1.86±0.03), (2.96±0.03), and (1.43±0.01) mmol/L, respectively. The prevalence rate of hypercholesterolemia, hypertriglyceridemia, mixed hyperlipidemia, low HDL-C, and high LDL-C was 16.0%, 21.6%, 6.6%, 13.5%, and 10.0%, respectively. MLMM showed that, after adjusting for relevant confounders, log-transformed blood cadmium levels were positively associated with increased levels of TC, TG and LDL-C ( P<0.05). When blood cadmium levels were categorized into quartiles, compared to the lowest exposure group ( Q1), participants in the highest blood cadmium exposure group ( Q4) had increases of 0.19 (95% CI: 0.06, 0.32) mmol/L in TC and 0.25 (95% CI: 0.08, 0.43) mmol/L in TG. GLMM indicated that, after adjusting for confounders, higher blood cadmium exposure levels were associated with increased risks of hypercholesterolemia, hypertriglyceridemia, mixed hyperlipidemia, and high LDL-C ( P<0.05). Further analysis by quartiles showed that, compared to the blood cadmium Q1 exposure group, the OR value (95% CI) for the Q4 group was 1.53 (1.12, 2.08) for hypercholesterolemia, 1.54 (1.09, 2.17) for hypertriglyceridemia, 2.24 (1.47, 3.40) for mixed hyperlipidemia, and 1.49 (1.07, 2.09) for high LDL-C. Conclusion:The cadmium internal exposure levels are associated with blood lipid profile levels as well as the incidence of dyslipidemia in Chinese adults aged 18 to 79.

Objective:To investigate the utility of a computational pathology-based tumor microenvironment(TME)score derived from whole slide images(WSIs)in predicting the efficacy of epidermal growth factor receptor tyrosine kinase inhibitors(EGFR-TKIs)in patients with EGFR mutation-positive non-small cell lung cancer(NSCLC).Methods:This retrospective study collected 240 EGFR-mutant NSCLC pa-tients treated with EGFR-TKIs at The First Affiliated Hospital of Wannan Medical College and analyzed hematoxylin-eosin(H&E)-stained WSIs of biopsy specimens,along with clinical and imaging data.The patients were randomly assigned into a training cohort(n=160)and an inde-pendent validation cohort(n=80)in a 2:1 ratio.Treatment response was assessed based on CT findings at 3 months after EGFR-TKIs initi-ation.Computational pathology was employed to automatically quantify the proportions of four TME components(tumor epithelium,stroma,lymphocytes,and vasculature)within the tumor regions of WSIs.Multivariate Logistic regression in the training cohort identified TME components independently predictive of treatment response(P<0.05),which were then integrated into a TME-score.The predictive performance was evaluated using receiver operating characteristic(ROC)curve analysis and area under the curve(AUC).The TME-score model was compared with a clinical-feature-based model and a combined model(TME-score+clinical features).Finally,the models were val-idated in the independent cohort.Results:In the training cohort,the TME-score,incorporating epithelial and stromal proportions,achieved an AUC of 0.827(95%CI:0.749-0.892)for predicting treatment response,while the validation cohort yielded an AUC of 0.845(95%CI:0.735-0.937).Both outperformed the clinical model(AUCs=0.730[95%CI:0.645-0.804]and 0.712[95%CI:0.586-0.824],respectively).The combined model(TME-score+clinical features,including cytokeratin 19 fragment and non-contrast CT values)further improved predictive performance(AUCs=0.884[95%CI:0.827-0.932]and 0.882[95%CI:0.798-0.950],respectively).Delong's test for pairwise model comparis-ons showed significant differences(all P<0.05)except TME-score and the combined model in the validation cohort(P=0.289).Conclusions:TME-score outperformed clinical models in predicting EGFR-TKIs efficacy in EGFR mutation-positive NSCLC patients and may serve as a novel tool for identifying patients likely to benefit from targeted therapy.

Objective:To design a morning quality assurance method for pencil-beam scanning proton system to achieve integrated measurement of multiple parameters.Methods:A functionally partitioned morning check phantom was designed and manufactured, which was fixed to a specific position on the treatment bed with a 3D-printed clip, along with the two-dimensional matrix ionization chamber, for consistency checks of proton field and beam-related parameters. Additionally, a groove for an imaging phantom was reserved on one side of the clip for the functional check of the onboard imaging guidance system. The sensitivity and specificity of the aforementioned morning check method were tested, demonstrating its effectiveness. The morning check data from a rotating beam treatment room at the Hefei Ion Medical Center over a continuous period of 7 months (126 d) were analyzed. The output, field flatness, symmetry, field size and the duration of morning check were observed.Results:The results showed that the changes in the output, field flatness, and symmetry were all within 1%, the change in the field size was within 0.5 mm, and the range variations for both 155 MeV and 240 MeV energy levels were within 1 mm. The changes in the spot size for the four energy levels of 100 MeV, 130 MeV, 160 MeV, and 190 MeV were all within 2%, and the spot position deviations were within 1.5 mm. The entire morning check process could be completed within 20 min.Conclusions:The morning check method designed and manufactured in this study specifically for pencil-beam scanning proton therapy can efficiently and integrally measure various proton system parameters and can be used as an implementation method for clinical proton therapy morning check.