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.

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.

Allergen-specific immunotherapy（AIT） remains the only therapeutic approach with the potential to modify the natural course of allergic rhinitis（AR）. Nevertheless, considerable inter-individual variability exists in patients'responses to AIT. To facilitate more reliable assessment of treatment efficacy, the China Rhinopathy Research Cooperation Group（CRRCG） convened young and middle-aged nasal experts in China to formulate the present consensus. The recommended subjective outcome measures for AIT comprise symptom scores, medication scores, combined symptom and medication scores, quality-of-life assessments, evaluation of disease control, and assessment of comorbidities. Objective indicators may supplement these measures. Currently available objective approaches include skin prick testing, nasal provocation testing, and allergen exposure chambers. However, these methods remain constrained by practical limitations and are not yet appropriate for routine implementation in clinical efficacy evaluation. In addition, several biomarkers, including sIgE and the sIgE/tIgE ratio, sIgG4, serum IgE-blocking activity, IgA, cytokines and chemokines, as well as immune cell surface molecules and their functional activity, have been shown to have associations with AIT outcomes. While these biomarkers may complement subjective assessments, they are subject to significant limitations. Consequently, large-scale multicenter trials and real-world evidence are required to strengthen the evidence base. The present consensus underscores the necessity of integrating patients'subjective experiences with objective testing throughout the treatment process, thereby providing a more comprehensive and accurate framework for efficacy evaluation. Looking forward, future investigations should prioritize the incorporation of multi-omics data and artificial intelligence methodologies, which hold promise for overcoming current limitations in assessment strategies and for advancing both the standardization and personalization of AIT.
Humans ; Allergens/immunology* ; China ; Consensus ; Desensitization, Immunologic ; Immunoglobulin E ; Quality of Life ; Rhinitis, Allergic/therapy* ; Treatment Outcome ; East Asian People

OBJECTIVES: To investigate the associations between Tau protein deposition and brain biochemical metabolites detected by proton magnetic resonance spectroscopy (¹H-MRS) in patients with advanced Alzheimer's disease (AD). METHODS: From April, 2022 to December, 2024, 64 Tau-positive AD patients and 29 healthy individuals underwent ¹⁸F-APN-1607 PET/MR and simultaneously acquired multi-voxel ¹H-MRS in the Department of Nuclear Medicine, Nanjing First Hospital. Visual analysis and voxel-based analysis of PET/MR data were performed to investigate the Tau protein deposition patterns in AD patients. Valid voxels within the ¹H-MRS field of view were selected, and their standardized uptake value ratio (SUVr) in PET and metabolite levels of N-acetylaspartate (NAA), choline (Cho), creatine (Cr), NAA/Cr, and Cho/Cr were recorded. The Tau-positive (Tau⁺) voxels and Tau-negative (Tau^-) voxels of the AD patients were compared for PET and ¹H-MRS parameters, and the correlations between the metabolites and Tau PET SUVr within Tau⁺ voxels were analyzed. RESULTS: Significant Tau protein deposition were observed in the AD patients, involving mainly the bilateral frontal lobes (30.07%), parietal lobes (29.96%), temporal lobes (21.07%), and occipital lobes (15.89%). A total of 1422 valid voxels in AD group (including 994 Tau⁺ and 428 Tau^- voxels) and 814 voxels in the control group were selected. The AD patients showed significantly decreased NAA level and increased SUVr compared with the control group (P<0.05). Subgroup analyses revealed that Tau⁺ voxels had higher SUVr and lower Cr and Cho/Cr than Tau^- voxels (P<0.05). Compared with the control group, Tau⁺ voxels exhibited higher SUVr and lower Cr (P<0.05), while Tau^- voxels showed lower NAA (P=0.004). No significant differences were found in Cho or NAA/Cr among the subgroups (P>0.05). Within Tau⁺ voxels, NAA, Cho, and Cr were negatively correlated with SUVr (P<0.001). CONCLUSIONS The patients with progressive AD have significant Tau protein deposition in the brain, which is correlated with alterations in metabolite levels. Decreased NAA is more prominent in early or pre-tau deposition stages, while Cr changes is more significant in the regions with Tau protein deposition, suggesting the potential of NAA and Cr as biomarkers for Tau protein deposition in AD for disease monitoring and treatment evaluation.
Humans ; Alzheimer Disease/diagnostic imaging* ; Aspartic Acid/metabolism* ; tau Proteins/metabolism* ; Creatine/metabolism* ; Brain/metabolism* ; Biomarkers/metabolism* ; Positron-Emission Tomography ; Male ; Female ; Proton Magnetic Resonance Spectroscopy ; Choline/metabolism* ; Aged ; Middle Aged

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.

OBJECTIVE To prepare a self-microemulsifying drug delivery system(SMEDDS) for the oral administration of nebivolol hydrochloride(NBH) and to conduct in vitro evaluation. METHODS The solubility of NBH was determined using various oil phases, surfactants, and co-surfactants. The composition of the blank self-microemulsifying formulation was determined using pseudo-ternary phase diagrams. A centralcomposite design-response surface method was employed to screen and optimize the formulation variables, and an excess amount of NBH raw material was incorporated to determine the drug loading capacity. RESULTS The optimized composition of the NBH-SMEDDS formulation consisted of medium-chain glycerides, capryl caproyl macrogol glycerides, and 2-(2-ethoxyethoxy) ethyl acetate at a ratio of 20∶48∶32, with a drug loading capacity of 20.05 mg. The particle size, self-emulsification time, and particle size distribution range of the formulation were in agreement with the predicted values. Dissolution testing demonstrated that the overall dissolution trend of NBH-SMEDDS in the medium was higher than that of NBH powder and NBH ordinary tablet. The stability of NBH-SMEDDS was found to be satisfactory under accelerated conditions for 1, 2, and 3 months. CONCLUSION The SMEDDS shows potential for enhancing the in vitro dissolution of NBH and demonstrates good stability.

OBJECTIVE To solve the problem of insolubility of itraconazole, improve its dissolution in vitro, and provide a reference for further industrial scale-up of the itraconazole multiparticle system. METHODS Itraconazole multiparticle system pellets were dissolved in an organic solvent and prepared in a fluidized bed by bottom spraying. Itraconazole and hydroxypropyl methylcellulose were sprayed onto the surface of the sucrose pellet core to form a uniform solid dispersion. The preparation parameters of the fluidized bed bottom spray coating were investigated by single factor method. The mass ratio of drug to carrier and core weight gain of the itraconazole multiparticle system were optimized by central composite design and response surface methodology with accumulative dissolution rate, application efficiency and adhesion rate as response values. Samples were prepared to verify the optimized prescription, the microscopic hierarchical structure of the itraconazole multiparticle system was observed by scanning electron microscope, and the solid dispersion in the itraconazole multiparticle system pellets was characterized by differential scanning calorimetry(DSC) and X-ray diffraction(XRD). The dissolution curves of itraconazole pellets and the physical mixture in 0.1 mol·L−1 HCl dissolution medium were compared to verify the solubilization effect. RESULTS Single factor method was used to determine the bottom spray coating parameters of the fluidized bed. The pumping speed was set as 3.0−5.0 mL·min−1, the atomization pressure was set as 1.5 bar, the inlet air volume was set as 110 m3·h−1, and the material temperature was set as 35 ℃. According to the central composite design and response surface methodology, the mass ratio of drug to carrier of the optimized prescription was 1∶1.5 and the core weight of the pill was 75%, and the response values reached the expected value. The result of scanning electron microscopy showed that the diameter of the itraconazole multiparticle system pellet was about 910 µm, the diameter of the sucrose pellet core was about 570 µm, the thickness of the drug loading layer was about 110 µm, and the thickness of encapsulation layer was about 11 µm. The results of DSC and XRD showed that itraconazole formed a uniform solid dispersion in the itraconazole multiparticle system pellets, which was amorphous. In the dissolution medium of 0.1 mol·L−1 HCl, the accumulative dissolution rate of the multiparticle system after 90 min was about 10 times that of the physical mixture, which showed that the solubilization effect was remarkable. CONCLUSION The dissolution of itraconazole in vitro can be significantly improved by processing itraconazole into pellets with multiparticle system and forming solid dispersion.