Objective To construct a prediction model for the population with hypertension and diabetes to assess the risk of chronic kidney disease (CKD), and to provide a scientific basis for formulating targeted CKD prevention and control measures. Methods Based on physical examination data from community residents aged 60 years and above in Nanjing in 2022, 10 221 patients with hypertension and diabetes were selected as the study subjects. Variables associated with CKD prevalence were screened using univariate analysis, and further variable selection was performed using LASSO regression. Finally, a CKD risk prediction model was constructed based on logistic regression. The model's performance was evaluated using the ROC curve and calibration curve. Results The prevalence rate of CKD in the study population was 22.71%, with a mean age of 71.66 years. LASSO regression identified seven variables associated with CKD: age, blood urea nitrogen (BUN), hemoglobin, uric acid, triglyceride-glucose (TyG) index, urine protein-to-creatinine ratio (UPCR), and medical insurance type. The final logistic regression model incorporated six variables: age [OR=1.067 (95% CI: 1.058-1.076)], BUN [OR=1.377 (95% CI: 1.338-1.418)], hemoglobin [OR=0.992 (95% CI: 0.989-0.995)], uric acid [OR=1.004 (95% CI: 1.003-1.004)], TyG index [OR=1.445 (95% CI: 1.324-1.577)], and self-payment medical insurance [OR=1.732 (95% CI: 1.542-1.945)]. The model had an AUC of 0.759 (95% CI: 0.747-0.770) and a Brier score of 0.140 (95% CI: 0.136-0.145), indicating good predictive performance. The calibration curve showed good agreement between the predicted risk and the observed value. Conclusion The constructed LASSO-logistic regression risk prediction model in this study can effectively assess the risk of CKD in elderly individuals aged 60 years and above with hypertension and diabetes, providing a basis for early identification of high-risk individuals and the formulation of targeted CKD prevention and control measures.

Objective To develop a predictive model for postoperative pulmonary complications (PPC) following video-assisted thoracic surgery (VATS) in lung cancer patients by integrating cardiopulmonary exercise testing (CPET) parameters and machine learning techniques. Methods A retrospective analysis was conducted on patients with early-stage non-small cell lung cancer who underwent CPET and VATS at Guangdong Provincial People’s Hospital between October 2021 and July 2023. Patients were divided into a PPC group and a non-PPC group. The least absolute shrinkage and selection operator (LASSO) regression was used to select important features associated with PPC. Six machine learning algorithms were utilized to construct prediction models, including logistic regression, support vector machine, k-nearest neighbors, random forest, gradient boosting machine, and extreme gradient boosting. The optimal model was interpreted using SHapley Additive exPlanations (SHAP). Results A total of 325 patients were included, with an average age of 60.36 years, and 55.1% were male. Significant differences were observed between the PPC and non-PPC groups in age, diabetes, coronary heart disease, surgical approach, forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FVC% predicted, peak oxygen uptake (peak VO2), anaerobic threshold (AT), and ventilatory equivalent for carbon dioxide slope (VE/VCO2 slope) (P<0.05). In the predictive model constructed by selecting 7 key features using LASSO regression, the random forest model demonstrated the best overall performance across various metrics, with an area under the receiver operating curve of 0.930, an F1 score of 0.836, and a Brier score of 0.133 in the training set. It also exhibited good predictive ability and calibration in the test set. SHAP analysis ranked feature importance as follows: peak VO2, VE/VCO2 slope, age, FEV1, smoking history, diabetes, and surgical approach. Conclusion Integrating CPET parameters, the random forest model can effectively identify high-risk patients for PPC and has the potential for clinical application.

Background Work-related musculoskeletal disorders (WMSDs) are a major occupational health concern, particularly among workers exposed to adverse ergonomic conditions. Manganese production involves heavy physical demands, yet research on WMSDs among manganese workers remains limited. Objective To investigate the prevalence and influencing factors of WMSDs among manganese workers in a manganese enterprise in Guangxi. Methods A cross-sectional survey was conducted from May to June 2024 on workers at a manganese factory in Guangxi. The Chinese Musculoskeletal Disorders Questionnaire was used to collect information on demographic characteristics, distribution of musculoskeletal symptoms, and work-related exposures. χ² test was applied to compare differences in positive WMSDs rates across groups, and logistic regression analysis was performed to identify associated factors. Results A total of 1476 workers were enrolled in the study after pre-determined inclusion and exclusion criteria. The overall prevalence of WMSDs was 34.15%. The most commonly affected body regions were the lower back (17.28%), neck (16.67%), and shoulders (13.82%). The results of logistic regression analysis indicated that female, older age, and education level of college or above were associated with a higher risk of WMSDs (P<0.05). Awkward working postures were significantly associated with WMSDs in corresponding body regions; in particular, awkward postures of the neck, upper limbs, trunk, and lower limbs were related to an increased risk of WMSDs in multiple body sites (P<0.05). In addition, poor lighting conditions, high workplace temperature, frequent or sustained arm support during work, and high job demands were associated with an increased risk of overall or site-specific WMSDs (P<0.05). Conclusion The high prevalence of WMSDs among manganese workers is closely associated with demographic characteristics, working postures, and work environment and organizational factors. Targeted ergonomic interventions focusing on high-risk body regions and key ergonomic exposures are warranted to reduce the risk of WMSDs among manganese workers.

Neurological disorders such as post-stroke hemiplegia, spinal cord injury, and Parkinson disease represent a major global health burden. Brain-computer interface (BCI), which creates direct communication pathways between the nervous system and external devices, offers a promising strategy for functional restoration. The long-term efficacy of such BCI fundamentally depends on the performance of biomaterials at the neural interface. Ideal materials must concurrently satisfy biocompatibility, electrical conductivity, enduring chemical stability, and mechanical compatibility with brain tissue. This review systematically outlines the application of conductive polymers, inorganic nanomaterials, natural biomaterials, and composites in BCI, with a focus on how advanced designs, such as bionic and encapsulated electrodes, improve signal fidelity and surgical feasibility through structural innovation. It further summarizes key material-modification techniques and analyzes the complex foreign-body response orchestrated by microglia, astrocytes, and peripheral immune cells. Finally, it provides insights into future research directions and clinical translation of BCI-based neurorehabilitation, while highlighting critical challenges including long-term biosafety and the establishment of standardized evaluation frameworks, aiming to bridge the gap between laboratory innovation and effective clinical deployment.

ObjectiveTo propose an X-Gait motor rehabilitation assessment system based on a perception-cognition decoupling architecture to jointly achieve high-accuracy gait recognition and clinical interpretability for low clinical credibility and opaque decision-making workflows in existing intelligent gait assessment models. MethodsIn the perception layer, YOLOv11-Pose and PoseFormerV2 were integrated for 2D-to-3D human pose reconstruction. A long short-term memory network was adopted for temporal classification of normal, abnormal and pathological gaits. The layer-wise relevance propagation algorithm was used to identify discriminative joints and automatically quantify biomechanical indices including trunk forward inclination angle, stance phase percentage and stride symmetry. In the cognition layer, rehabilitation-oriented prompt engineering and prior knowledge graphs were combined to drive large language models, converting quantitative biomechanical measurements into clinically reasonable structured reports. Eight subjects were enrolled for bedside clinical validation to evaluate classification performance and clinical consistency. ResultsThe overall gait classification accuracy of X-Gait reached 94.1%. The 2D pose detection achieved 100% valid detection rate with an average confidence of 0.819. The mean per-joint position error of 3D pose reconstruction was 105.97 mm. In clinical validation of eight cases, outputs generated by explainable artificial intelligence combined with large language models showed high consistency with manual assessments from experienced rehabilitation physicians. ConclusionThe proposed X-Gait system based on perception-cognition decoupling realizes high-precision gait identification and clinically interpretable outputs.

In recent years, with the continuous development and increasing maturity of interventional techniques, interventional treatment for congenital heart disease (CHD) has been progressively disseminated to county- and city-level hospitals in China. Concurrently, the standardized management of adult CHD (particularly patent foramen ovale) and the lifelong management of complex CHD are gaining increasing clinical attention, while the emergence of new techniques and products continuously advances the discipline. This article aims to review the new progress made in the field of interventional treatment for congenital heart disease in China during 2024. It specifically reviews and analyzes the following key aspects: (1) annual statistics on interventional closure procedures for CHD; (2) recent insights into patent foramen ovale closure; (3) advances in transcatheter pulmonary valve replacement; (4) interventional treatment and lifelong management strategies for complex CHD; (5) new interventional techniques for acquired heart disease; and (6) the application of artificial intelligence in CHD management. Through the synthesis and discussion of these topics, this article seeks to provide a detailed analysis of the current landscape of interventional treatment for CHD in China and project its future development trends.

Objective:To compare the clinical efficacy of robot-assisted balloon tibioplasty and traditional open reduction and internal fixation in the treatment of AO/OTA type 41B2 tibial plateau fracture.Methods:A retrospective cohort study was conducted to analyze the clinical data of 70 patients with AO/OTA type 41B2 tibial plateau fracture who were admitted to Wuhan Fourth Hospital from September 2019 to October 2022, including 35 males and 35 females, aged 24-62 years [(44.9±9.5)years]. Among them, 41 patients underwent traditional open reduction and internal fixation (open reduction group), while 29 patients underwent robot-assisted balloon tibioplasty (balloon group). The following parameters were compared between the two groups: incision length, operative blood loss, number of intraoperative fluoroscopies, operation duration, and length of hospital stay; Rasmussen radiological scores at 3 days, 3 months postoperatively, and at the last follow-up and the fracture healing time; pain visual analogue scale (VAS) scores preoperatively, and at 2 days and 3 months postoperatively; knee joint range of motion at 5 days, 3 months postoperatively, and at the last follow-up; Hospital for Special Surgery (HSS) knee function scores at 3, 6 months postoperatively, and at the last follow-up; incidence rate of complications at 15 days postoperatively.Results:All the patients were followed for 12-24 months [18(17, 20)months]. The incision length, operative blood loss and length of hospital stay in the balloon group were 1.6(1.5, 3.0)cm, 5.0(5.0, 5.0)ml and 11.0(9.0, 14.0)days, less than those in the open reduction group [12.0(11.0, 12.0)cm, 100.0(50.0, 120.0)ml and 15.0(13.0, 20.0)days] ( P<0.01). The number of intraoperative fluoroscopies and operation duration in the open reduction group were 9.0(7.0, 10.0)times and 75.0(60.0, 90.0)minutes, less than those in the balloon group [336.0(335.0, 340.0)times and [90.0(70.0, 105.0)minutes] ( P<0.05). There were no significant differences in the Rasmussen radiological scores between the two groups at 3 days, 3 months postoperatively, or at the last follow-up ( P>0.05). The fracture healing time in the balloon group was 3.0(3.0, 3.0)months, shorter than 3.0(3.0, 3.5)months in the open reduction group ( P<0.05). No significant differences were observed between the two groups in VAS scores before operation or at 3 months postoperatively ( P>0.05). However, the VAS score was 2.0(2.0, 3.0)points at 2 days postoperatively in the balloon group, lower than 5.0(5.0, 6.0)points in the open reduction group ( P<0.01). The knee joint range of motion at 5 days, 3 months postoperatively and at the last follow-up were 90.0(85.0, 90.0)°, 135.0(130.0, 135.0)° and 140.0(135.0, 140.0)° in the balloon group, better than 65.0(60.0, 70.0)°, 125.0(120.0, 130.0)°, 130.0(130.0, 140.0)° in the open reduction group ( P<0.01). Similarly, the HSS knee function scores at 3, 6 months postoperatively and at the last follow-up were 80.0(80.0, 81.0)points, 91.0(90.0, 92.0)points, and 95.0(93.0, 96.0)points in the balloon group, better than 71.0(70.0, 72.0)points, 83.0(81.0, 84.0)points, and 86.0(84.0, 88.0)points in the open reduction group ( P<0.01). The incidence rate of complications in the balloon group was 0, comparable to 12% (5/41) in the open reduction group ( P>0.05). Conclusion:Compared with traditional open reduction and internal fixation surgery, robot-assisted balloon tibioplasty in the treatment of AO/OTA type 41B2 tibial plateau fracture significantly reduces surgical trauma, alleviates postoperative pain, promotes fracture healing, and accelerates functional recovery of the affected limbs.

Objectives:To investigate the expression and clinical prognostic implication of secreted frizzled-related protein 4(SFRP4)in the peripheral blood of patients with dilated cardiomyopathy(DCM)and its.Methods:A total of 259 consecutive patients diagnosed with DCM who were admitted to the Cardiac Center of Zhongshan Hospital,Fudan University,from January 2017 to January 2019 were selected for the DCM group.Additionally,84 individuals who underwent health examinations and echocardiography at our hospital during this period,confirmed to be free of cardiovascular diseases,were selected as the control group.Peripheral serum samples were collected from both groups,and serum SFRP4 levels were measured using enzyme-linked immunosorbent assay(ELISA).The correlation between SFRP4 levels and DCM severity,as well as its predictive value for DCM prognosis,were analyzed.Results:Compared to the control group,the serum SFRP4 levels in the DCM group were significantly elevated([28.54±10.25]ng/ml vs.[52.70±19.74]ng/ml,P<0.05).The DCM group was randomly divided into a training set and a validation set in a 2:1 ratio.Multivariate logistic regression analysis in the training set revealed that serum SFRP4 levels were independently associated with all-cause mortality in DCM patients(OR=1.06,95% CI:1.03-1.10,P<0.001).We further evaluated the model's predictive performance with the receiver operating characteristic(ROC)curves(area under curve>0.8),calibration curves,and decision curve analysis,results indicated that the predictive model containing serum SFRP4 levels showed good performance on predicting all-cause mortality in DCM patients.Kaplan-Meier survival curve analysis demonstrated that during a median follow-up of 33.5(11.0,49.0)months,DCM patients with high peripheral blood SFRP4 levels(≥75th percentile)had a significantly higher incidence of all-cause mortality compared to those with low levels(<75th percentile)(28.81% vs.16.57%,P=0.02).Conclusions:The level of SFRP4 in the peripheral blood of DCM patients is significantly elevated,and peripheral serum SFRP4 levels have potential prognostic value for predicting the all-cause mortality in DCM patients.

Objective To analyze the influencing factors of postoperative hypoxemia after whole lung lavage (WLL) in patients with pneumoconiosis and to evaluate the predictive value of lung ultrasound scores. Methods A total of 757 patients with pneumoconiosis who underwent unilateral large-volume WLL were selected as the research subjects by continuous sampling method. The patients with hypoxemia after large-volume WLL were assigned to the observation group (82 cases), and those without hypoxemia were assigned to the control group (675 cases). Patients′ basic information and clinical data of the two groups were collected using a retrospective investigation method. The binary logistic regression analysis was used to analyze the influencing factors of hypoxemia after large-volume WLL in patients with pneumoconiosis, and receiver operating characteristic (ROC) curve analysis was conducted to assess the predictive value of ultrasound indicators. Results The combined rate of postoperative hypoxemia in the patients was 10.8% (82/757). The multivariate logistic regression analysis showed that the risk of hypoxemia in patients aged ≥65 years was higher than that in patients aged <65 years (P<0.05). The risk of hypoxemia was higher in patients with increased pre-extubation lung ultrasound score than those with lower pre-extubation lung ultrasound score (P<0.01). Patients with a higher partial pressure of carbon dioxide in arterial blood (PaCO₂) had a higher risk of concurrent hypoxemia than those with a lower pressure (P<0.01), while patients with lower arterial partial pressure of oxygen (PaO₂) had a higher risk of concurrent hypoxemia than those with higher PaO₂ (P<0.01). Pearson correlation analysis showed that lung ultrasound scores were negatively correlated with PaO₂ and positively correlated with PaCO₂ (both P<0.01). The ROC curve analysis showed that the area under the curve was 0.855, the 95% confidence interval was 0.828 to 0.879, the diagnostic sensitivity was 84.2%, and the specificity was 75.1%. Conclusion Age, pre-extubation lung ultrasound score, and PaCO₂ are risk factors for hypoxemia after WLL in patients with pneumoconiosis, while PaO₂ is a protective factor. Pre-extubation lung ultrasound scoring demonstrates good accuracy in predicting postoperative hypoxemia among pneumoconiosis patients after WLL.