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

A molecularly imprinted electrochemical sensor for rapid detection of tenuazonic acid(TeA)was developed based on the Au-MoS2/MOF(Fe2+/Fe3+)high-efficiency catalytic cycle amplification strategy,using p-aminobenzoic acid(PABA)as the functional monomer,and TeA as the template molecule.The molecularly imprinted polymer(MIP)was prepared on the surface of Au-MoS2/MOF(Fe2+/Fe3+)modified electrode through electropolymerization.By introducing flower-like MoS2 nanoflakes(MoS2 NFs)as a co-catalyst into a mixed-valence structured Fe-MOF(Fe2+/Fe3+),the H2O2 electrochemical signal of the MIP/Au-MoS2/MOF(Fe2+/Fe3+)/GCE was significantly enhanced.Under optimal conditions,the sensor exhibited good selectivity and high sensitivity toward TeA.A linear relationship(R2=0.992)was observed between the electrochemical response and TeA concentration in the range of 0.001-10 μg/kg,with a detection limit of 0.3 ng/kg.The developed method was successfully applied to determination of TeA in fruit samples,with recoveries ranging from 90.8%to 110.8%,and relative standard deviations from 1.9%to 8.4%.

Objective:To explore the role of tumor necrosis factor receptor-associated factor 4 (TRAF4) in promoting the abnormal activation of epidermal growth factor receptor (EGFR) and its effect on lung cancer cell proliferation, migration and invasion.Methods:Tumor tissues from patients who underwent lung adenocarcinoma resection at The First Affiliated Hospital of Second Military Medical University, from January 2015 to May 2017 were collected, and the expressions of TRAF4 and Ki-67 in lung cancer tissues were detected by immunohistochemistry, the mRNA levels of Cyclin D and Vimentin were detected by real-time fluorescence quantitative PCR (qRT-PCR). The effect of TRAF4 on the tumor growth ability of lung cancer A549 cells was investigated by the xenograft model, the effect of TRAF4 or EGFR on the tumor proliferation ability was detected by using cell counting kit 8 (CCK8) and BrdU assay, and the migration and invasion abilities of tumor cells were detected by Transwell assay. Different structural domain deletion expression vectors of TRAF4 and EGFR were constructed to transfect cells, and the interaction mode of TRAF4 and EGFR was investigated by immunoprecipitation assay.Results:The expression of TRAF4 in non-small cell lung cancer (NSCLC) tissues was positively correlated with the expressions of Ki-67, cyclin D, and vimentin ( r2: 0.438, 0.695, and 0.736, respectively, all P＜0.01). Immunohistochemical assay of tumor tissues from NSCLC patients showed that tissues with high expression of TRAF4 were also high in Ki-67. Patients with high TRAF4 expression (TRAF4 positivity >30%) had a shorter progression-free survival (PFS) time than that of patients with low TRAF4 expression (TRAF4 positivity ≤30%) (median PFS of 12 and 19 months, respectively; P=0.034). Traf4 -/- cells had a weakened proliferative capacity than traf4+/+ cells and formed tumors with smaller size ( P＜0.05). The expression level of Ki-67 in the tumor tissues formed by traf4 -/- cells [(45.6±8.7)%] was lower than that in the tumor tissues formed by traf4+/+ cells [(62.3±10.3)%, P=0.015], the mRNA levels of cyclin D (1.01±0.15) and vimentin (1.01±0.12) in the traf4 -/- cells were lower than those of the traf4+/+ cells (3.41±0.32 and 3.12±0.18, respectively, both P＜0.05).The western blot results showed that, with the elevated intracellular expression level of TRAF4, phosphorylation level of EGFR was significantly increased in both wild-type EGFR and activation mutant EGFR-expression cells. The capacities of proliferation, migration and invasion of A549 cells was weakened after EGFR knockdown (all P＜0.01). Immunoprecipitation experiments showed that TRAF4 binds to the peptide segment of the near-membrane region of EGFR through the TRAF structural domain, and the mutual binding between EGFR molecules was enhanced under TRAF4 overexpression conditions. Increasing TRAF4 expression promoted EGFR molecular phosphorylation and activation of downstream signaling. Conclusions:TRAF4 expression is elevated in NSCLC tissues and tumor cells, which promotes tumor proliferation, migration and invasion. TRAF4 directly binds to EGFR molecules, enhances its own phosphorylation and activates the downstream signaling pathway by promoting the interaction between EGFR molecules.