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.

Dental implantology has developed rapidly for over half a century,since pure titanium(99.7％)dental cylindrical threaded implants were exploited and osseointegration was introduced in 1960s by Prof.Br?nemark.The long term retention rates of 10 years or more are over 95％.However,the biological complications jeopardize the long term effects of dental implant treatment seriously.The prevalence of dental implant biological complications varies greatly among different reports resulting from the disparities on the defini-tions of dental implant biological complications.After analyzing and summarizing the major opinions proposed internationally in recent years,the consensus for the definition of dental implant biological complications has been reached.Generally the dental implant biologi-cal implications can be classified into early stage(before restoration)biological complications and late stage(after restoration)biological complications.The early stage biological complications include acute and chronic infections,pain,soft tissue deficiency,and osseointegration failure,etc.The late stage complications include peri-implant diseases(peri-implant mucositis and peri-implantitis),soft tissue deficiency around implant,implant loosening and dropping off,etc.The various risk factors related to different dental implant biological complications,the strategies of the prevention and treatment for the dental implant biological complications have been discussed comprehensively,and the consensus has been reached.It is aimed to advocate the dentist to pay more attention to the early prevention of the biological implant complications,to promote more researches on the implant biological complications,and to help elevate the level of dental implantology in our country.

Objective To develop a quality of life(QoL)scale for Premature Ovarian Insufficiency(POI)with high reliability and validity in accordance with China's national conditions.Methods The theoretical framework of the scale was constructed under the guidance of traditional Chinese medicine theory with reference to the development method of the QoL scale.Literature analysis method,medical record review method,patient interview method,Delphi expert consultation method and clinical investigation were used to establish,improve and screen the scale items to form the final scale,and the characteristics and differentiation in terms of reliability and validity and feasibility of the final scale were evaluated.Results After screening the entries by the Delphi method and clinical surveys,the Chinese Premature Ovarian Insufficiency Quality of Life Scale was formed,which included three domains of physiology,psychology,and society,and eleven aspects such as menstruation,fertility,and physical symptoms,with 30 entries and two overall evaluations.The Cronbach's coefficient of this scale was 0.910,the fold-half coefficient was 0.956,and the re-test correlation coefficient was 0.868,which showed good internal consistency,fold-half and re-test reliabilities;the scale extracted 9 factors with characteristic root>1,and the cumulative variance contribution rate was 71.063%,the comparative fit index was 0.959,and the goodness-of-fit index was 0.919,and the degree of correlation was tested has showed that the content validity,structural validity and calibration correlation validity were good;the difference in the total scores of the scale between patients with POI and the healthy population was statistically significant,and the scale had a good degree of differentiation.Conclusion As confirmed by this study,the Chinese Premature Ovarian Insufficiency Quality of Life Scale has good reliability,validity,differentiation and feasibility,and can be used as a tool for evaluating the quality of life of POI patients in China as well as enriching the efficacy evaluation system of TCM in treating POI,and it is suitable for clinical popularization and application.

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.

Dental implantology has developed rapidly for over half a century,since pure titanium(99.7％)dental cylindrical threaded implants were exploited and osseointegration was introduced in 1960s by Prof.Br?nemark.The long term retention rates of 10 years or more are over 95％.However,the biological complications jeopardize the long term effects of dental implant treatment seriously.The prevalence of dental implant biological complications varies greatly among different reports resulting from the disparities on the defini-tions of dental implant biological complications.After analyzing and summarizing the major opinions proposed internationally in recent years,the consensus for the definition of dental implant biological complications has been reached.Generally the dental implant biologi-cal implications can be classified into early stage(before restoration)biological complications and late stage(after restoration)biological complications.The early stage biological complications include acute and chronic infections,pain,soft tissue deficiency,and osseointegration failure,etc.The late stage complications include peri-implant diseases(peri-implant mucositis and peri-implantitis),soft tissue deficiency around implant,implant loosening and dropping off,etc.The various risk factors related to different dental implant biological complications,the strategies of the prevention and treatment for the dental implant biological complications have been discussed comprehensively,and the consensus has been reached.It is aimed to advocate the dentist to pay more attention to the early prevention of the biological implant complications,to promote more researches on the implant biological complications,and to help elevate the level of dental implantology in our country.

Objective To develop a quality of life(QoL)scale for Premature Ovarian Insufficiency(POI)with high reliability and validity in accordance with China's national conditions.Methods The theoretical framework of the scale was constructed under the guidance of traditional Chinese medicine theory with reference to the development method of the QoL scale.Literature analysis method,medical record review method,patient interview method,Delphi expert consultation method and clinical investigation were used to establish,improve and screen the scale items to form the final scale,and the characteristics and differentiation in terms of reliability and validity and feasibility of the final scale were evaluated.Results After screening the entries by the Delphi method and clinical surveys,the Chinese Premature Ovarian Insufficiency Quality of Life Scale was formed,which included three domains of physiology,psychology,and society,and eleven aspects such as menstruation,fertility,and physical symptoms,with 30 entries and two overall evaluations.The Cronbach's coefficient of this scale was 0.910,the fold-half coefficient was 0.956,and the re-test correlation coefficient was 0.868,which showed good internal consistency,fold-half and re-test reliabilities;the scale extracted 9 factors with characteristic root>1,and the cumulative variance contribution rate was 71.063%,the comparative fit index was 0.959,and the goodness-of-fit index was 0.919,and the degree of correlation was tested has showed that the content validity,structural validity and calibration correlation validity were good;the difference in the total scores of the scale between patients with POI and the healthy population was statistically significant,and the scale had a good degree of differentiation.Conclusion As confirmed by this study,the Chinese Premature Ovarian Insufficiency Quality of Life Scale has good reliability,validity,differentiation and feasibility,and can be used as a tool for evaluating the quality of life of POI patients in China as well as enriching the efficacy evaluation system of TCM in treating POI,and it is suitable for clinical popularization and application.

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.