Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans ; Mendelian Randomization Analysis ; Gallstones/complications* ; Female ; Male ; Cholecystectomy/statistics & numerical data* ; Middle Aged ; Risk Factors ; Aged ; Adult ; Neoplasms/etiology* ; Stomach Neoplasms/epidemiology*

Objective: To comprehensively evaluate and analyze the transfusion outcomes of patients with acute upper gastrointestinal bleeding (UGIB). Methods: The transfusion management system and hospital information system (HIS) were used to retrospectively collect clinical data of 230 patients with UGIB admitted to Zhejiang Provincial People's Hospital and its branches from June 2018 to June 2021. 101 cases were screened and categorized into transfusion group (n=56) and non-transfusion group (n=45) based on transfusion outcomes. The cohort comprised 68 males and 33 females. A univariate model based on the AIMS65 score, a logistic multiple regression model, and multivariate transfusion models using machine learning methods (including Random Forest, Support Vector Machine, and Artificial Neural Network) were established. The sensitivity, specificity, accuracy, and receiver operating characteristic (ROC) curves of each model were compared. Results: For the univariate model based on the AIMS65 scoring, the optimal threshold was 1.5. This model demonstrated a sensitivity of 0.446, a specificity of 0.822, an AUC of 0.67, an accuracy (ACC) of 0.614, a Kappa value of 0.256, and an F1-score of 0.655. For logistics regression model (optimal critical probability: 0.459), the sensitivity was 0.929, specificity was 0.889, AUC was 0.96, ACC was 0.911, Kappa was 0.819, and F1-score was 0.899. For the Random Forest model (optimal critical probability: 0.458), the sensitivity was 0.964, specificity was 0.956, AUC was 0.99, ACC was 0.960, Kappa was 0.920, and F1-score was 0.956. For the Support Vector Machine model (optimal critical probability: 0.474), the sensitivity was 0.875, specificity was 0.933, AUC was 0.94, ACC was 0.901, Kappa was 0.801, and F1-score was 0.894. For the Artificial Neural Network model (optimal critical probability: 0.797), the sensitivity was 0.804, specificity was 0.956, AUC was 0.96, ACC was 0.871, Kappa was 0.745, and F1-score was 0.869. Ten-fold cross validation also confirmed the reliability of the results. Conclusion: Based on integrated various clinical test indicators of patients, we could establish logistic regression model and multiple machine learning models. These models hold significant value for predicting the need for blood transfusion in patients, indicating a promising application prospect for machine learning algorithms in transfusion prediction.

Stroke imposes a tremendous burden on patients'families and society due to its high rates of mortality,disability,and recurrence.Advances in neuroimaging technologies have provided critical theoretical foundations for investigating the pathophysiological mechanisms of stroke,as well as enabling early clinical intervention and personalized rehabilitation.This article reviewed the application of five commonly used magnetic resonance imaging(MRI)techniques in acupuncture therapy for stroke,including functional MRI(fMRI)for cerebral blood oxygen metabolism,magnetic resonance spectroscopy(MRS),diffusion MRI(dMRI),perfusion MRI(pMRI),and structural MRI(sMRI).By examining functional,metabolic,structural,and hemodynamic aspects,these imaging modalities offer evidence to validate the multi-target effect and efficacy of acupuncture in stroke treatment.

Exosomes are closely related to the occurrence and development of various diseases. Exosomes from different sources and the bioactive molecules they carry can participate in the formation process of urinary calculi through mechanisms such as regulating inflammatory responses，autophagy，and crystal nucleation. In addition，exosomes can also serve as delivery platforms for precise treatment of urinary calculi patients based on targeted markers，which has become a new hot spot in the research of the mechanism and treatment of urinary calculi in recent years. This article reviews the current research progress of exosomes in the formation mechanism of urinary calculi.

Stroke imposes a tremendous burden on patients'families and society due to its high rates of mortality,disability,and recurrence.Advances in neuroimaging technologies have provided critical theoretical foundations for investigating the pathophysiological mechanisms of stroke,as well as enabling early clinical intervention and personalized rehabilitation.This article reviewed the application of five commonly used magnetic resonance imaging(MRI)techniques in acupuncture therapy for stroke,including functional MRI(fMRI)for cerebral blood oxygen metabolism,magnetic resonance spectroscopy(MRS),diffusion MRI(dMRI),perfusion MRI(pMRI),and structural MRI(sMRI).By examining functional,metabolic,structural,and hemodynamic aspects,these imaging modalities offer evidence to validate the multi-target effect and efficacy of acupuncture in stroke treatment.

Exosomes are closely related to the occurrence and development of various diseases. Exosomes from different sources and the bioactive molecules they carry can participate in the formation process of urinary calculi through mechanisms such as regulating inflammatory responses，autophagy，and crystal nucleation. In addition，exosomes can also serve as delivery platforms for precise treatment of urinary calculi patients based on targeted markers，which has become a new hot spot in the research of the mechanism and treatment of urinary calculi in recent years. This article reviews the current research progress of exosomes in the formation mechanism of urinary calculi.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

As a new quantitative analysis method of radiology image data, radiomics has been widely used in the diagnosis and treatment evaluation of various diseases especially malignant tumors, promoting the development of individualization and precision in disease diagnosis and treatment. In urolithiasis, radiomics is mainly used in the differential diagnosis of ureteral calculi, preoperative prediction of different calculus compositions, and prediction of efficacy of various treatment modalities. This paper introduced the basic workflow of radiomics, and reviewed its application progress in urolithiasis.

Objective To evaluate the application value of artificial intelligence mixed reality(AI-MR)technology in the planning of ultrasound-guided percutaneous nephrolithotomy(PCNL)for special types of complex upper urinary stones.Methods The prospective single-center,single-arm clinical study involved 15 patients with complex upper urinary stones undergoing ultrasound-guided PCNL during Aug.2022 and May 2023,including 9 male and 6 female,3 cases of pelvic ectopic kidney stones,5 cases of horseshoe kidney stones,3 cases of renal stones combined with spinal deformity,and 4 cases of transplant kidney stones.Based on preoperative computed tomography urography(CTU)data,digital three-dimensional reconstruction was performed,and AI-MR was used to project surgery-related three-dimensional images in real space to obtain"perspective"information of the surgical area.This facilitated preoperative design and planning,including target calyx,number of channels,and auxiliary measures.The compliance of target calyx and number of channels,stone clearance rate,total operation time,time required to establish the percutaneous renal channel,decrease in hemoglobin level,surgical complications,and postoperative hospital stay were analyzed.Results All 15 patients underwent preoperative planning using AI-MR and successfully completed one-stage ultrasound-guided PCNL.Based on the preoperative planning,we utilized S-PCNL alone or combined with Needle-perc or antegrade/retrograde FURS/RIRS.Among all patients,4 underwent single-channel S-PCNL,3 multi-channel S-PCNL,and 8 S-PCNL combined with Needle-perc or FURS.The compliance of target calyx and number of channels was 86.7％,the one-stage stone clearance rate was 80.0％,the average time for establishing the channel was(2.3±0.3)minutes,the average total operation time was(61.5±12.2)minutes,the mean decrease in hemoglobin level was(9.6±1.2)g/L,and the average postoperative hospital stay was(4.6±0.5)days.There were no Clavien-Dindo grade ≥ Ⅱ complications,such as blood transfusion,organ injury,or urosepsis.Conclusion Before surgery,AI-MR can be used to quantitatively analyze imaging data for patients with special types of complex upper urinary stones,which can achieve three-dimensional fluoroscopy effects,formulate surgical plans,optimize puncture paths,effectively avoid the risk of damage to surrounding organs,reduce complications,shorten treatment cycle and improve the first-stage stone clearance rate.