ObjectiveTo describe the epidemiological characteristics and trend of pulmonary tuberculosis among the elderly in Shanghai from 2014 to 2023, to estimate the incidence between 2024‒2025, so as to provide references for optimizing the prevention and control strategies of pulmonary tuberculosis for elderly in Shanghai. MethodsData of pulmonary tuberculosis patients aged ≥60 years in Shanghai registered in the Tuberculosis Registration and Management System of Chinese Center for Disease Control and Prevention from 2014 to 2023 was derived to describe the demographic characteristics of the elderly patients with pulmonary tuberculosis, and to calculate the reported incidence rate and annual percentage change (APC) of pulmonary tuberculosis. The autoregressive integrated moving average (ARIMA) model was constructed using monthly reported incidence data from January 2014 to June 2023, and data from July to December in 2023 were used to validate the model and predict the reported incidence rate of pulmonary tuberculosis among elderly in 2024 and 2025. ResultsA total of 19 208 elderly pulmonary tuberculosis patients were registered and reported in Shanghai from 2014 to 2023, with an average annual reported incidence rate of 35.04/100 000. The reported incidence rate of pulmonary tuberculosis in elderly showed an overall decreasing trend, APC=-3.34% (t=-3.360,P=0.010). While, the proportion of elderly pulmonary tuberculosis patients showed a yearly increasing trend among the total registered and reported cases, APC=5.65% (t=10.820, P<0.001). The difference in the average annual reported incidence rate of pulmonary tuberculosis in elderly was statistically significant in different regions (χ²=31.762, P=0.007), with the central urban areas(33.23/100 000) being lower than that in suburban areas (36.46/100 000), and the annual decreasing rate was faster in central urban area, APC=-4.88% (t=-4.838, P<0.001) and -2.76% (t=-2.811, P=0.023), respectively. The incidence rate was significantly higher in males than that in females (χ²=514.395, P<0.001). Additionally, the difference in reported incidence rate was statistically significant among different age groups(χ²=119.751,P<0.001), among which patients aged ≥80 years had the highest average annual incidence rate (59.69/100 000), and those aged ≤60 years had the lowest average annual incidence rate (28.57/100 000). Compared with the non-residential permanent elderly population (47.68/100 000), the average annual incidence rate of pulmonary tuberculosis among the elderly with household registration in Shanghai was lower (33.82/100 000) (χ²=24.295, P<0.001). The ARIMA (0,0,1) (0,1,1) 12 model was used to predict the incidence rate of pulmonary tuberculosis among the elderly in Shanghai in 2024 and 2025, and which was predicted to be 37.41/100 000 and 35.92/100 000, respectively. ConclusionThe reported incidence rate of pulmonary tuberculosis among the elderly in Shanghai showed an overall yearly downward trend from 2014 to 2023, but its proportion in the total number of reported pulmonary tuberculosis cases increased year by year. Prevention and control efforts should still not be slackened and emphasis should be placed on male, suburban and non-residential permanent elderly populations.

Objective To analyze the prevalence status of cardiometabolic risk factor (CMRF) and its aggregation among workers engaged in new forms of employment. Methods A total of 5 429 new employment workers (including couriers, online food delivery workers, and ride hailing drivers) who underwent health medical examinations at a tertiary hospital in Beijing City were selected as the research subjects using the judgment sampling method. Data on waist circumference, blood pressure, blood glucose, and blood lipid levels were collected to analyze their CMRF [central obesity, elevated blood pressure, elevated blood glucose, elevated triglycerides, and reduced high-density lipoprotein cholesterol (HDL-C)] and their aggregation (with ≥ 2 of the above 5 risk factors) status. Results The detection rates of central obesity, elevated blood pressure, elevated blood glucose, elevated triglycerides, and reduced HDL-C were 61.2%, 38.2%, 29.5%, 40.9% and 22.6%, respectively. The detection rates of CMRF aggregation was 57.8%. The result of multivariable logistic regression analysis showed that male, age ≥45 years, smoking, overweight, and obesity were risk factors for CMRF aggregation (all P<0.05). Conclusion The detection rate of CMRF and its aggregation among workers with new forms of employment in Beijing City is relatively high. Targeted prevention and control efforts should be strengthened for high-risk populations, especially males, workers aged ≥45 years, smokers, and those who are overweight or obese.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg^-1) and a high dose (15 mg·kg^-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D₃03)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.

AIM:To study the relationship between ocular parameters and lens thickness(LT)in myopic patients with different anterior chamber depth(ACD).METHODS:Cross-sectional study. A total of 118 myopic subjects(236 eyes)underwent posterior chamber phakic implantable collamer lens(Phakic-ICL)implantation in the refractive department of our hospital from May 2022 to May 2024 were selected. Ocular parameters examined before surgery included uncorrected visual acuity(UCVA), subjective refraction, best corrected visual acuity(BCVA), contactless intraocular pressure(IOP), ACD, white-to-white(WTW), horizontal sulcus-to-sulcus(STSH), vertical sulcus-to-sulcus(STSV), and LT. ACD without corneal thickness was measured by Pentacam, and subjects were divided into three groups: shallow anterior chamber group(2.8 mm≤ACD≤3.2 mm), middle anterior chamber group(3.2 mm3.4 mm). The differences in WTW, STSH, STSV, and LT among groups were compared, and the correlation between the above parameters under different ACD groups was analyzed, as well as the multiple linear regression analysis was used to research LT with the above ocular parameters.RESULTS:There was no statistically significant difference in LT between the middle ACD group and the deep ACD group(P=1.00), while there were statistically significant differences in LT between shallow and middle ACD groups(P<0.0167); there were statistical significant differences in WTW, STSH and STSV among different ACD groups(F=226.36, 15.58, 11.92, all P<0.01), but the differences were varied after pairwise comparison. There was a weak negative correlation between LT and ACD only in the shallow ACD group and overall data of patients(r=-0.231, P<0.05; r=-0.222, P<0.01). There was no correlation in LT and ocular parameters between the middle ACD group and deep ACD group(all P>0.05); moderate correlations were discovered among WTW, STSH and STSV in different ACD groups and overall data(all P<0.01); in the overall data of patients, ACD had weak to low correlations with WTW, STSH, STSV and LT(all P<0.01). Through multiple linear regression analysis, it was found that only the shallow ACD group and the overall data had statistically significant independent variables that were linearly correlated with LT, and their equations were as follows: LTS=5.492-0.167×WTW+0.267×STSV-0.448×ACD; LTT=3.884-0.303×ACD, the corrected R2 of equations showed low values, revealed 0.141 and 0.056, respectively.CONCLUSION:Among different ACD groups, there was no correlation or linear relationship between LT and WTW, STSH and STSV; in the shallow ACD group and the overall data, LT had a weak negative correlation with ACD, and its corrected R2 was low. Therefore, there is no linear relationship between LT and ocular diameter parameters under different ACD.

[Objective] To compare the efficacy and safety of deglycerolized red blood cells (DRBC) and suspended red blood cells (SRBC) based on the propensity score matching (PSM) method, so as to provide evidence for the rational use of DRBC resources in clinical practice. [Methods] A total of 89 patients who received DRBC transfusion and 2 916 patients who received SRBC transfusion in our hospital from January 2023 to September 2024 were included. A 1∶1 nearest neighbor PSM was used to balance covariates such as gender, age, and body mass index (BMI). The changes of hemoglobin (Hb), red blood cell (RBC) count, hematocrit (HCT), and inflammatory markers such as white blood cell (WBC) count, neutrophil (NE) count, C-reactive protein (CRP), and Interleukin-6(IL-6) in the last 72 hours after transfusion were analyzed by SPSS 26.0 and R software to evaluate clinical efficacy and transfusion safety. [Results] The baseline of the two groups was balanced after PSM (P>0.05). There was no significant difference in the total effective rate between the DRBC group (80.9%) and the SRBC group (86.5%) (P>0.05). In the SRBC group, WBC (×10 /L) increased from 9.634±6.742 to 10.147±6.835, CRP (mg/dL) increased from 5.468±4.647 to 6.174±6.114, and IL-6(pg/mL) decreased from 213.733±587.191 to 157.255±552.626. In the DRBC group, WBC (×10 /L) decreased from 11.123±7.880 to 11.011±8.549, CRP (mg/dL) decreased from 5.729±4.761 to 5.326±4.466, and IL-6(pg/mL) decreased from 238.806±639.060 to 152.255±266.558. Compared with the before treatment, the differences between the SRBC group and DRBC group were not statistically significant (P>0.05). Among all patients included in the statistics, the overall incidence of transfusion adverse reactions was 0.205% (6/2 916) in the SRBC group, and no adverse reactions occurred in the DRBC group. The incidence in the SRBC group was higher than that in the DRBC group. [Conclusion] Based on PSM analysis, there was no significant difference in the efficacy and safety of DRBC transfusion compared with SRBC transfusion, which can provide evidence-based support for routine application.

Acute-on-chronic liver failure (ACLF) is an acute deterioration of liver function occurring on the basis of chronic liver disease, accompanied by failure of the liver and extrahepatic organs, and is associated with a high short-term mortality rate. Liver transplantation is the only curative treatment for patients with ACLF. However, the shortage of donor livers and limitations of the organ allocation system mean that only a minority of patients can receive transplants. The current organ allocation system based on the model for end-stage liver disease (MELD) score may underestimate the urgency of liver transplantation for ACLF patients. Therefore, it is urgent to develop better assessment tools to determine which ACLF patients are most likely to benefit from liver transplantation. This article reviews the current mainstream definitions of ACLF, the selection of candidates for liver transplantation in ACLF, and the prognostic scoring systems for liver transplantation in ACLF, both domestically and internationally, in order to provide a reference for the prognostic assessment of liver transplantation in ACLF patients.

Background/Aims: Endoscopic radiofrequency ablation (ERFA) is a treatment option for superficial esophageal squamous cell neoplasia (ESCN), with a relatively low risk of stenosis; however, the long-term outcomes remain unclear. We aimed to compare the long-term outcomes of patients with widespread superficial ESCN who underwent endoscopic submucosal dissection (ESD) or ERFA. Methods: We retrospectively analyzed the clinical data of patients with superficial ESCN who underwent ESD or ERFA between January 2015 and December 2021. The primary outcome measure was recurrence-free survival. Results: Ninety-two and 33 patients with superficial ESCN underwent ESD and ERFA, respectively. The en bloc, R0, and curative resection rates for ESD were 100.0%, 90.2%, and 76.1%, respectively. At 12 months, the complete response rate was comparable between the two groups (94.6% vs 90.9%, p=0.748). During a median follow-up of 66 months, recurrence-free survival was significantly longer in the ESD group than in the ERFA group (p=0.004), while no significant differences in overall survival (p=0.845) and disease-specific survival (p=0.494) were observed.Preoperative diagnosis of intramucosal cancer (adjusted hazard ratio, 5.55; vs high-grade intraepithelial neoplasia) was an independent predictor of recurrence. Significantly fewer patients in the ERFA group experienced stenosis compare to ESD group (15.2% vs 38.0%, p=0.016). Conclusions The risk of recurrence was higher for ERFA than ESD for ESCN but overall survival was not affected. The risk of esophageal stenosis was significantly lower for patients who underwent ERFA.

Background/Aims: Endoscopic radiofrequency ablation (ERFA) is a treatment option for superficial esophageal squamous cell neoplasia (ESCN), with a relatively low risk of stenosis; however, the long-term outcomes remain unclear. We aimed to compare the long-term outcomes of patients with widespread superficial ESCN who underwent endoscopic submucosal dissection (ESD) or ERFA. Methods: We retrospectively analyzed the clinical data of patients with superficial ESCN who underwent ESD or ERFA between January 2015 and December 2021. The primary outcome measure was recurrence-free survival. Results: Ninety-two and 33 patients with superficial ESCN underwent ESD and ERFA, respectively. The en bloc, R0, and curative resection rates for ESD were 100.0%, 90.2%, and 76.1%, respectively. At 12 months, the complete response rate was comparable between the two groups (94.6% vs 90.9%, p=0.748). During a median follow-up of 66 months, recurrence-free survival was significantly longer in the ESD group than in the ERFA group (p=0.004), while no significant differences in overall survival (p=0.845) and disease-specific survival (p=0.494) were observed.Preoperative diagnosis of intramucosal cancer (adjusted hazard ratio, 5.55; vs high-grade intraepithelial neoplasia) was an independent predictor of recurrence. Significantly fewer patients in the ERFA group experienced stenosis compare to ESD group (15.2% vs 38.0%, p=0.016). Conclusions The risk of recurrence was higher for ERFA than ESD for ESCN but overall survival was not affected. The risk of esophageal stenosis was significantly lower for patients who underwent ERFA.