Chronic post-surgical pain (CPSP) is a common long-term complication following lung surgery. Its high incidence significantly impacts patients’ quality of life and functional recovery, and imposes a substantial socioeconomic burden. This consensus aims to systematically establish a standardized integrated Chinese and Western medicine diagnostic and treatment framework for chronic post-lung surgery pain (CPLSP). Based on the latest domestic and international evidence-based medical research and multidisciplinary clinical experience, the working group comprehensively elaborates on core issues regarding CPLSP, including its definition, epidemiology, pathogenesis, clinical assessment, Western medical treatment, traditional Chinese medicine (TCM) treatment, and integrated strategies. The consensus emphasizes a patient-centered approach, adhering to the principles of multimodality, individualization, and stepwise management, highlighting the synergistic advantages of integrating Chinese and Western medicine throughout the entire perioperative management cycle encompassing "perioperative anti-inflammation, acute analgesia, and chronic rehabilitation." Through systematic literature retrieval and evidence integration, a total of 9 core recommendations were established to provide scientifically sound and clinically practical guidance.

GBA1 gene mutation is an important genetic risk factor for Parkinson’s disease (PD). This paper reports a case of a 43-year-old male PD patient carrying a rare heterozygous Thr408Met mutation in the GBA1 gene identified through whole-exome sequencing, leading to a diagnosis of GBA1-associated PD. The patient’s motor symptoms were primarily characterized by bradykinesia and rigidity, without significant cognitive decline. Treatment with low-dose levodopa combined with a dopamine agonist resulted in significant symptomatic improvement.

[摘 要] 目的：利用单细胞RNA测序（scRNA-seq）解析结直肠癌（CRC）肿瘤微环境（TME）中B细胞的异质性特征，为基于B细胞的预后评估与免疫治疗提供理论依据。方法：采集原发CRC患者的新鲜手术切除样本（n = 36），进行scRNA-seq。采用Seurat（v5.0）进行细胞分群，Monocle3（v1.3）和scVelo（v0.3.0）分析细胞分化轨迹，GSEA识别功能通路，pySCENIC（v0.11.2）构建基因调控网络。结果：识别B细胞（24 652个）和浆细胞（49 138个）共11个功能亚型。拟时序分析显示B细胞从初始态向组织驻留态分化。应激适应性B细胞在肿瘤中富集（10.39%），其NOD样受体信号和抗原提呈通路显著激活。组织驻留性B细胞在肿瘤中占9.09%，其C型凝集素信号和内吞作用增强。迁移性B细胞在TNM Ⅱ期组织中比例最低（16.42%），氧化磷酸化等代谢通路显著富集。浆细胞呈终末分化状态，肿瘤中以IgG型为主（20.68%）。结论：应激适应性和组织驻留性B细胞可能促进肿瘤免疫逃逸，迁移性B细胞或具抗肿瘤潜力；同时，IgG型浆细胞可能与免疫抑制有关。

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

IL-33 and its receptor ST2 play crucial roles in tissue repair and homeostasis. However, their involvement in optic neuropathy due to trauma and glaucoma remains unclear. Here, we report that IL-33 and ST2 were highly expressed in the mouse optic nerve and retina. Deletion of IL-33 or ST2 exacerbated retinal ganglion cell (RGC) loss, retinal thinning, and nerve fiber degeneration following optic nerve (ON) injury. This heightened retinal neurodegeneration correlated with increased neurotoxic astrocytes in Il33^-/- mice. In vitro, rIL-33 mitigated the neurotoxic astrocyte phenotype and reduced the expression of pro-inflammatory factors, thereby alleviating the RGC death induced by neurotoxic astrocyte-conditioned medium in retinal explants. Exogenous IL-33 treatment improved RGC survival in Il33^-/- and WT mice after ON injury, but not in ST2^-/- mice. Our findings highlight the role of the IL-33/ST2 axis in modulating reactive astrocyte function and providing neuroprotection for RGCs following ON injury.
Animals ; Interleukin-33/genetics* ; Interleukin-1 Receptor-Like 1 Protein/genetics* ; Optic Nerve Injuries/pathology* ; Retinal Ganglion Cells/pathology* ; Astrocytes/pathology* ; Mice ; Mice, Knockout ; Mice, Inbred C57BL ; Neuroprotection/physiology*

Objective:To evaluate the effects of the Chinese visceral adiposity index(CVAI)and the Triglyceride-Glucose(TyG)index on the risk of hypertension among the elderly in the Zhengxiangbai Banner community of Inner Mongolia.Methods:This study selected elderly individuals who underwent physical examinations at the community health service center in Zhengxiangbai Banner, Inner Mongolia, from January 2024 to July 2024 as the study population.Based on the diagnostic criteria for hypertension, participants were divided into hypertensive and non-hypertensive groups.Data on demographics, body mass index(BMI), waist circumference(WC), fasting blood glucose(FSG), and blood lipids were collected.The CVAI, TyG, Triglyceride Glucose-Body Waist Circumference(TyG-WC), and Triglyceride Glucose-Body Mass Index(TyG-BMI)were calculated.Subjects were categorized into quartiles(1st to 4th)based on CVAI, TyG, TyG-WC, and TyG-BMI.Multivariate logistic regression analysis was employed to explore the relationship between these indicators and the risk of hypertension in the elderly.Results:This study included a total of 3, 319 elderly subjects, comprising 1, 743 individuals in the hypertensive group and 1, 576 in the non-hypertensive group.Multivariate logistic regression analysis indicated that the fourth quartile of the CVAI was a risk factor for hypertension when compared to the first quartile.Additionally, the second, third, and fourth quartiles of the TyG-BMI were identified as risk factors for hypertension relative to the first quartile.The analysis of the correlation strength between various obesity indexes and hypertension revealed that CVAI, TyG-WC, and TyG-BMI were independently correlated with the risk of hypertension.Notably, TyG-BMI exhibited a stronger association with hypertension( OR=1.006, 95% CI: 1.004-1.008).ROC curve analysis demonstrated that TyG-BMI possessed superior predictive ability for hypertension, with an AUC of 0.587(95% CI: 0.568-0.607).Furthermore, Decision Curve Analysis(DCA)also indicated that TyG-BMI had enhanced predictive capability.Further stratification by gender revealed that TyG-BMI in elderly men was independently correlated with the risk of hypertension( P<0.001), while CVAI in elderly women was independently correlated with the risk of hypertension( P<0.05).ROC curve analysis indicated that TyG-BMI in elderly men had better predictive ability for hypertension(AUC=0.582, 95% CI: 0.554~0.610).The difference in AUC compared to CVAI was statistically significant( P<0.01).DCA analysis further confirmed that TyG-BMI exhibited superior predictive ability. Conclusions:Our findings suggest that both CVAI and TyG-BMI exhibit superior predictive value for hypertension, with TyG-BMI demonstrating a particularly strong predictive capability in elderly men.

Under the background of breaking the " five only" evaluation criteria, continuously optimizing the scientific research performance evaluation system of hospitals to mobilize the enthusiasm and creativity of scientific researchers and guide the direction of scientific research development plays an important role in enhancing the overall scientific research capability of hospitals. Through literature analysis and expert consultation, a certain hospital has constructed a personal scientific research performance evaluation index system for medical staff in tertiary public hospitals, oriented towards innovation quality and member contributions, and began to implement it throughout the hospital in 2021. This index system included four categories of scientific research performance: vertical scientific research projects, academic influence, science and technology awards, and transformation of achievements, with a total of 20 indicators. The annual scientific research performance score of an individual would serve as the basis for the distribution of year-end scientific research performance and an important reference for applying for key and major projects within the hospital. After the application of this evaluation index system, the enthusiasm of medical staff for scientific research has been effectively stimulated. The average individual scientific research performance score increased from 0.974 in 2020 to 1.220 in 2023. All scientific research indicators involved in the evaluation system have shown growth, with a significant increase in high-quality results. This evaluation system can provide a reference for the scientific research performance evaluation of public hospitals under the background of breaking the " five only" evaluation criteria.

Objective:To evaluate the effects of the Chinese visceral adiposity index(CVAI)and the Triglyceride-Glucose(TyG)index on the risk of hypertension among the elderly in the Zhengxiangbai Banner community of Inner Mongolia.Methods:This study selected elderly individuals who underwent physical examinations at the community health service center in Zhengxiangbai Banner, Inner Mongolia, from January 2024 to July 2024 as the study population.Based on the diagnostic criteria for hypertension, participants were divided into hypertensive and non-hypertensive groups.Data on demographics, body mass index(BMI), waist circumference(WC), fasting blood glucose(FSG), and blood lipids were collected.The CVAI, TyG, Triglyceride Glucose-Body Waist Circumference(TyG-WC), and Triglyceride Glucose-Body Mass Index(TyG-BMI)were calculated.Subjects were categorized into quartiles(1st to 4th)based on CVAI, TyG, TyG-WC, and TyG-BMI.Multivariate logistic regression analysis was employed to explore the relationship between these indicators and the risk of hypertension in the elderly.Results:This study included a total of 3, 319 elderly subjects, comprising 1, 743 individuals in the hypertensive group and 1, 576 in the non-hypertensive group.Multivariate logistic regression analysis indicated that the fourth quartile of the CVAI was a risk factor for hypertension when compared to the first quartile.Additionally, the second, third, and fourth quartiles of the TyG-BMI were identified as risk factors for hypertension relative to the first quartile.The analysis of the correlation strength between various obesity indexes and hypertension revealed that CVAI, TyG-WC, and TyG-BMI were independently correlated with the risk of hypertension.Notably, TyG-BMI exhibited a stronger association with hypertension( OR=1.006, 95% CI: 1.004-1.008).ROC curve analysis demonstrated that TyG-BMI possessed superior predictive ability for hypertension, with an AUC of 0.587(95% CI: 0.568-0.607).Furthermore, Decision Curve Analysis(DCA)also indicated that TyG-BMI had enhanced predictive capability.Further stratification by gender revealed that TyG-BMI in elderly men was independently correlated with the risk of hypertension( P<0.001), while CVAI in elderly women was independently correlated with the risk of hypertension( P<0.05).ROC curve analysis indicated that TyG-BMI in elderly men had better predictive ability for hypertension(AUC=0.582, 95% CI: 0.554~0.610).The difference in AUC compared to CVAI was statistically significant( P<0.01).DCA analysis further confirmed that TyG-BMI exhibited superior predictive ability. Conclusions:Our findings suggest that both CVAI and TyG-BMI exhibit superior predictive value for hypertension, with TyG-BMI demonstrating a particularly strong predictive capability in elderly men.

Under the background of breaking the " five only" evaluation criteria, continuously optimizing the scientific research performance evaluation system of hospitals to mobilize the enthusiasm and creativity of scientific researchers and guide the direction of scientific research development plays an important role in enhancing the overall scientific research capability of hospitals. Through literature analysis and expert consultation, a certain hospital has constructed a personal scientific research performance evaluation index system for medical staff in tertiary public hospitals, oriented towards innovation quality and member contributions, and began to implement it throughout the hospital in 2021. This index system included four categories of scientific research performance: vertical scientific research projects, academic influence, science and technology awards, and transformation of achievements, with a total of 20 indicators. The annual scientific research performance score of an individual would serve as the basis for the distribution of year-end scientific research performance and an important reference for applying for key and major projects within the hospital. After the application of this evaluation index system, the enthusiasm of medical staff for scientific research has been effectively stimulated. The average individual scientific research performance score increased from 0.974 in 2020 to 1.220 in 2023. All scientific research indicators involved in the evaluation system have shown growth, with a significant increase in high-quality results. This evaluation system can provide a reference for the scientific research performance evaluation of public hospitals under the background of breaking the " five only" evaluation criteria.

Objective To construct a deep learning-based artificial intelligence model to automatically quantify left ventricular ejection fraction (LVEF) using static views of echocardiography. Methods The study included data of 1, 902 adults with left ventricular multi-slice echocardiographic views at end-systole and end-diastole. The collected dataset was divided into development set (1, 610 cases, with 1, 252 cases for model training and 358 cases for parameter adjustment), internal test set (177 cases for internal validation), and external test set (115 cases for external validation and generalization testing). The model achieved left ventricular segmentation and automatic quantification of LVEF through precise identification of the left ventricular endocardial boundary and inspection of key points. The Dice coefficient was employed to evaluate the performance of the left ventricular segmentation model, while the Pearson correlation coefficient and the intraclass correlation coefficient were used to assess the correlation and consistency between the automatically measured LVEF and the reference standard. Results The left ventricular segmentation model performed well, with Dice coefficients ≥ 0.90 for both the internal and external independent test sets; the agreement between the automatically measured LVEF and the cardiologists' manual measurements was moderate, with Pearson correlation coefficients ranging from 0.46 to 0.71 and intragroup correlation analysis agreements from 0.39 to 0.57 for the internal test set; and Pearson correlation coefficients for the independent external test set were 0.26 to 0.54 and intra-group correlation analysis agreement of 0.23 to 0.50. Conclusion In this study, a left ventricular segmentation model with better performance is constructed, and initial application of the model for automatic quantification of LVEF for two-dimensional echocardiography has general performance, which requires further optimisation of the algorithm to improve the model generalisation.