BACKGROUND: The global rise in diabetes prevalence is a pressing concern. Despite initiatives like "The Healthy Beijing Action 2020-2030" advocating for increased awareness, treatment, and control, the specific situation in Beijing remains unexplored. This study aimed to analyze the trends in diabetes prevalence, awareness, treatment, and control among Beijing adults. METHODS: Through a stratified multistage probability cluster sampling method, a series of representative cross-sectional surveys were conducted in Beijing from 2005 to 2022, targeting adults aged 18-79 years. A face-to-face questionnaire, along with body measurements and laboratory tests, were administered to 111,943 participants. Data from all survey were age- and/or gender-standardized based on the 2020 Beijing census population. Annual percentage rate change (APC) or average annual percentage rate change (AAPC) was calculated to determine prevalence trends over time. Complex sampling logistic regression models were employed to explore the relationship between various characteristics and diabetes. RESULTS: From 2005 to 2022, the total prevalence of diabetes among Beijing adults aged 18-79 years increased from 9.6% (95% CI: 8.8-10.4%) to 13.9% (95% CI: 13.1-14.7%), with an APC/AAPC of 2.1% (95% CI: 1.1-3.2%, P <0.05). Significant increases were observed among adults aged 18-39 years and rural residents. Undiagnosed diabetes rose from 3.5% (95% CI: 3.2-4.0%) to 7.2% (95% CI: 6.6-7.9%) with an APC/AAPC of 4.1% (95% CI: 0.5-7.3%, P <0.05). However, diabetes awareness and treatment rates showed annual declines of 1.4% (95% CI: -3.0% to -0.2%, P <0.05) and 1.3% (95% CI: -2.6% to -0.2%, P <0.05), respectively. The diabetes control rate decreased from 21.5% to 19.1%, although not statistically significant (APC/AAPC = -1.5%, 95% CI: -5.6% to 1.9%). Overweight and obesity were identified as risk factors for diabetes, with ORs of 1.65 (95% CI: 1.38-1.98) and 2.48 (95% CI: 2.07-2.99), respectively. CONCLUSIONS The prevalence of diabetes in Beijing has significantly increased between 2005 and 2022, particularly among young adults and rural residents. Meanwhile, there has been a concerning decrease in diabetes awareness and treatment rates, while control rates have remained stagnant. Regular blood glucose testing, especially among adults aged 18-59 years, should be warranted. Furthermore, being male, elderly, overweight, or obese was associated with higher diabetes risk, suggesting the needs for targeted management strategies.
Humans ; Adult ; Middle Aged ; Male ; Female ; Aged ; Adolescent ; Young Adult ; Cross-Sectional Studies ; Diabetes Mellitus/epidemiology* ; Beijing/epidemiology* ; Prevalence ; China/epidemiology* ; Surveys and Questionnaires

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

BACKGROUND: It is inaccurate to reflect the level of dust exposure through working years. Furthermore, identifying a predictive indicator for lung function decline is significant for coal miners. The study aimed to explored whether club cell secretory protein (CC16) levels can reflect early lung function changes. METHODS: The cumulative respiratory dust exposure (CDE) levels of 1,461 coal miners were retrospectively assessed by constructed a job-exposure matrix to replace working years. Important factors affecting lung function and CC16 were selected by establishing random forest models. Subsequently, the potential of CC16 to reflect lung injury was explored from multiple perspectives. First, restricted cubic spline (RCS) models were used to compare the trends of changes in lung function indicators and plasma CC16 levels after dust exposure. Then mediating analysis was performed to investigate the role of CC16 in the association between dust exposure and lung function decline. Finally, the association between baseline CC16 levels and follow-up lung function was explored. RESULTS: The median CDE were 35.13 mg/m³-years. RCS models revealed a rapid decline in forced vital capacity (FVC), forced expiratory volume in the first second (FEV₁), and their percentages of predicted values when CDE exceeded 25 mg/m³-years. The dust exposure level (<5 mg/m³-years) causing significant changes in CC16 was much lower than the level (25 mg/m³-years) that caused changes in lung function indicators. CC16 mediated 11.1% to 26.0% of dust-related lung function decline. Additionally, workers with low baseline CC16 levels experienced greater reductions in lung function in the future. CONCLUSIONS CC16 levels are more sensitive than lung indicators in reflecting early lung function injury and plays mediating role in lung function decline induced by dust exposure. Low baseline CC16 levels predict poor future lung function.
Uteroglobin/blood* ; Humans ; Dust/analysis* ; Occupational Exposure/analysis* ; Male ; Middle Aged ; Adult ; Retrospective Studies ; Lung Injury/chemically induced* ; Coal Mining ; Biomarkers/blood* ; China/epidemiology* ; Air Pollutants, Occupational ; Female

OBJECTIVE: To evaluate the wound healing of recipient and donor sites following keratinized mucosa augmentation (KMA) around implants in reconstructed jaw areas and to compare these outcomes with gingival grafts in native jawbone, so as to provide clinical guidance for postoperative maintenance, and to investigate the impact of clinical experience on the evaluation of KMA postoperative healing through subgroup comparisons. METHODS: This study included patients who underwent resection of maxillofacial tumors, fibular or iliac flap reconstruction, and implant placement at Peking University Dental Hospital from October 2020 to April 2023. Three months post-implant placement, the patients were referred for KMA procedures. Clinical photographs of the reconstructed area were taken preoperatively, immediately postoperatively, and 3 weeks and 3 months post-surgery. Additionally, photographs of the palatal donor site were obtained preoperatively and 3 weeks later. Wound healing was assessed by four junior and three senior clinicians utilizing the early healing index (EHI), early wound healing score (EHS), and pink esthetic score (PES).And senior clinicians evaluated the healing effect compared with gingival transplantation on natural jawbone using a 10-point scale. RESULTS: A total of 26 patients with jawbone reconstruction were included, with an average age of (34.2±10.2) years, 11 males (42.3%) and 15 females (57.7%). Among them, 13 cases (50.0%) underwent fibula flap reconstruction, and 13 cases (50.0%) underwent iliac flap reconstruction. The average number of implants per patient was 3.2±0.7. In the recipient area, 3 weeks postoperatively, the EHS was 7.0 (4.0, 9.0), with sub-item scores as follows: Clinical signs of re-epithelialization (CSR) 6.0 (3.0, 6.0), clinical signs of haemostasis (CSH) 1.5 (1.0, 2.0), and clinical signs of inflammation (CSI) 1.0 (0.0, 1.0), indicating that the average appearance of the wound in the recipient area was characterized by generally well-approximated wound edges with minimal fibrin lines and mild erythema and swelling. The EHI for the recipient area was 2.0 (1.5, 2.5), suggesting that the incision was mostly closed with some fibrin lines 3 weeks postoperatively. The long-term healing evaluation system, PES, was 2.5 (2.0, 3.0), with sub-scores for color [1.0 (1.0, 1.5)] and texture [1.5 (1.0, 2.0)], which were slightly different from the reference values.In the palatal donor area, 3 weeks postoperatively, the EHI score was lower at 1.3 (1.0, 2.5), while the EHS score was higher at 8.5 (6.0, 10.0), indicating better soft tissue healing in the donor area compared with the recipient area. Among the clinicians with different levels of experience, the assessment of wound healing revealed that except for the CSI sub-item, where the junior group scored higher than the senior group, all other sub-items showed significantly higher scores in the senior group compared with the junior group. In the EHS evaluation system, the CSH sub-item demonstrated no significant differences between the groups with varying levels of experience. Experienced clinicians' evaluation outcomes of healing effect compared with gum graft on natural alveolar bone was 8.5 (7.5, 9.5), showing high consistency [intraclass correlation coefficient (ICC): 0.892; 95% confidence interval (CI): 0.791－0.949], suggesting slightly suboptimal healing results after KMA surgery. CONCLUSION The healing process following KMA in the context of jawbone reconstruction is relatively protracted, emphasizing the necessity for comprehensive postoperative management. Moreover, clinician experience plays a significant role in the assessment of wound healing outcomes for KMA in maxillofacial reconstruction.
Humans ; Wound Healing ; Adult ; Male ; Female ; Gingiva/transplantation* ; Plastic Surgery Procedures/methods* ; Middle Aged ; Surgical Flaps ; Keratins

OBJECTIVE: Lipid oxidation is involved in the pathogenesis of atherosclerosis and may be contribute to the development of Ischemic stroke (IS). However, the lipid profiles associated with IS have been poorly studied. We conducted a pilot study to identify potential IS-related lipid molecules and pathways using lipidomic profiling. METHODS: Serum lipidomic profiling was performed using LC-MS in 20 patients with IS and 20 age- and sex-matched healthy controls. Univariate and multivariate analyses were simultaneously performed to identify the differential lipids. Multiple testing was controlled for using a false discovery rate (FDR) approach. Enrichment analysis was performed using MetaboAnalyst software. RESULTS: Based on the 294 lipids assayed, principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) models were used to distinguish patients with IS from healthy controls. Fifty-six differential lipids were identified with an FDR-adjusted P less than 0.05 and variable influences in projection (VIP) greater than 1.0. These lipids were significantly enriched in glycerophospholipid metabolism (FDR-adjusted P = 0.009, impact score = 0.216). CONCLUSIONS Serum lipid profiles differed significantly between patients with IS and healthy controls. Thus, glycerophospholipid metabolism may be involved in the development of IS. These results provide initial evidence that lipid molecules and their related metabolites may serve as new biomarkers and potential therapeutic targets for IS.
Humans ; Pilot Projects ; Lipidomics ; Male ; Female ; Biomarkers/blood* ; Middle Aged ; Ischemic Stroke/blood* ; Aged ; China ; Lipids/blood* ; Adult ; Case-Control Studies ; East Asian People

Outer membrane vesicles (OMVs) are nanoscale vesicles secreted by Gram-negative bacteria. As a unique bacterial secretion, OMV secretion can help bacteria maintain the outer membrane stability or remove harmful substances. Studies have shown that local separation of outer membrane and peptidoglycan layers led by abnormalities in outer membrane protein function, abnormal structure or excessive accumulation of LPS, and erroneous accumulation of phospholipids in the outer leaflet, which can all lead to bacterial outer membrane protrusion and eventually bud formation of OMVs. Since OMVs are mainly composed of bacterial outer membrane and periplasmic components, the pathogen associated molecular patterns (PAMPs) on their surface can trigger strong immune responses. For example, OMVs can recruit and activate neutrophils, polarize macrophages to secrete large amounts of inflammatory factors. More importantly, OMVs can act as adjuvants to induce dendritic cell (DC) maturation to enhance adaptive immune response in the body. At the same time, OMVs are derived from bacteria, which make it easy to modify. The methods by genetic engineering and others can improve their tumor targeting, give them new functions, or reduce their immunotoxicity, which is conducive to their application in tumor therapy. OMVs not only induce apoptosis or pyroptosis of tumor cells, but also regulate the host immune system, which makes OMVs themselves have a certain killing effect on tumors. In addition, the tendency of neutrophils to inflammatory tumor sites and the formation of neutrophil extracellular traps enable OMVs to target tumor sites, and the suitable size and the characteristic that they are easily taken up by DCs give OMVs a certain lymphatic targeting ability. Therefore, OMVs are often employed as excellent drug or vaccine carriers in tumor therapy. This review mainly discusses the biological mechanism of OMVs, the regulatory effects of OMVs on immune cells, the functional modification strategies of OMVs, and their research progress in tumor therapy.

Objective:To evaluate the efficacy and safety of lenvatinib combined with camrelizumab as the second-line treatment for advanced intrahepatic cholangiocarcinoma (ICC).Methods:The clinical data of patients with advanced ICC undergoing the second-line treatment of lenvatinib combined with camrelizumab in the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University from June 2021 to June 2022 were screened and analyzed. A total of 12 patients were enrolled, including seven males and five females, aged (67.5±8.6) years. Response evaluation criteria in solid tumor 1.1 was used to evaluate the efficacy of treatment. The safety assessment adopts the Adverse Event Evaluation Standard 5.0. Kaplan-Meier method was conducted to plot survival curves.Results:Among the 12 patients (after 1-7 cycles of immune and targeted therapy), three achieved partial response, four achieved stable disease, and five were defined as progression disease. Adverse events of different degrees occurred in seven cases, among which three patients had adverse events of grade ≥ 3: one with hypertension, which was managed after antihypertensive and symptomatic treatment; one with elevated serum total bilirubin, which was improved after reducing the dose of lenvatinib; one with liver dysfunction, which was considered as immune-related liver toxicity and alleviated after discontinuing camrelizumab. The 1-month, 3-month, and 6-month survival rates and progression-free survival rates of the patients were 100.0%, 91.7%, 66.7%, and 83.3%, 41.7%, and 25.0%, respectively. The median overall survival of patients was 14.7 months (95% CI: 9.2-21.2) and the median time to progression was 8.0 months (95% CI: 4.1-11.9). Conclusion:Combination of lenvatinib and camrelizumab could bring survival benefits with controllable adverse events as the second-line treatment of patients with advanced ICC.