Fungal keratitis represents a significant cause of blindness, with current therapeutic approaches yielding limited success. The disease's onset and progression are primarily driven by fungal virulence factors and the host's immune response. The innate immune system is the first to respond, with neutrophils playing a pivotal role in the antifungal defense. Although neutrophils are critical for pathogen clearance, their excessive or abnormal activation can lead to tissue damage, exacerbating the disease. Thus, elucidating the mechanisms underlying neutrophil activity in fungal keratitis is crucial for refining treatment strategies. This article aims to systematically review the principal antimicrobial mechanisms employed by neutrophils, including phagocytosis, degranulation, and the formation of neutrophil extracellular traps(NETs). Furthermore, it explores the crosstalk between neutrophils and macrophages, alongside their collective impact and underlying mechanisms in the context of fungal keratitis. Exploration of the mechanisms of fungal keratitis facilitates precise intervention and enhances the efficacy of treatment.

Objective:To evaluate the safety and efficacy of mild hypothermia arch-clamping technique in the surgical treatment of DeBakey Type Ⅰ aortic dissection.Methods:From December 2019 to November 2023, a total of 97 patients with DeBakey type Ⅰ aortic dissection who underwent arch-clamping technique in Beijing Anzhen Hospital were prospectively enrolled. The patients were divided into mild hypothermia group and moderate hypothermia group according to the lowest rectal temperature during the circulatory arrest period. The perioperative data of the two groups were compared, and complex adverse outcomes consisting of 30-day death, stroke, paraplegia and CRRT were used as the primary endpoint. Multivariate logistic regression was used to determine the predictors of clinical adverse outcomes. Survival analysis was evaluated by the Kaplan- Meier method. Results:The overall incidence of complex adverse outcomes was 20.6%, 13.6% in the mild hypothermia group and 22.7% in the moderate hypothermia group( P=0.535), and the incidence of stroke was 4.6% and 6.7%( P=1.000), respectively. The cardiopulmonary bypass time and aortic-clamping time in the mild hypothermia group were significantly shortened (147.5 min vs. 163.0 min, P=0.032; 89 min vs. 99 min, P=0.042). There was no significant difference in long-term survival and reintervention between the two groups(91.9% vs. 89.3%, P=0.87; 9.1% vs. 5.3%, P=0.13). Conclusion:Mild hypothermia arch-clamping technique is a safe and effective method for the treatment of DeBakey type Ⅰ aortic dissection, with satisfactory short-term and long-term efficacy.

Objective:To explore and model risk factors in patients with major adverse cardiovascular events (MACEs) after acute type A aortic dissection (ATAAD), and to develop and validate a personalized machine learning model to assess risk factors and predict MACEs in these patients.Methods:Clinical data of patients who attended Beijing Anzhen Hospital and underwent surgical treatment for ATAAD from January 2018 to October 2022 were retrospectively analyzed. Using MACEs as the endpoint, 70% of these patients were randomly divided into the training set and the remaining 30% into the validation set. LASSO regression was applied to explore key clinical variables in the training set. The optimal predictive model was selected from nine machine learning algorithms based on area under the curve. And Shapley Additive explanations was used to elucidate the predictive model. Results:Of the 481 patients included in this study, 135 (35.6%) patients experienced an endpoint event. By combining the results of the training and validation sets, when assessing the validity of the single model with the highest predictive accuracy for the outcome, it was shown that the logistic model (0.774, 95% CI: 0.717-0.830) was the most effective in the combined effect and had a high model accuracy (0.743, 95% CI: 0.720-0.766). According to the results of the LASSO, the factors most associated with postoperative MACEs were history of cerebrovascular disease, coronary artery involvement, shock status on admission to the operating room, FDP, PLT, CPB, ascending aortic clamping, and age. Conclusion:In this study, nine machine learning models were developed to predict the occurrence of postoperative MACEs in patients with acute type A aortic dissection. The logistic model performed significantly better compared to other algorithms. Our study successfully predicted postoperative MACES and identified the factors most associated with MACEs.

This article briefly introduces the new concept of burnout and the new burnout assessment tool BAT. In the past, the most famous burnout definition was proposed by Maslach and Leiter. The Maslach Burnout Inventory (MBI) developed by Maslach has also been the gold standard for evaluating burnout. With the development of burnout research, the concept of burnout has a certain defect. MBI has also been criticized in conceptual, practical and psychological measurement. It may hinder new research, and urgently needs to improve the concept and evaluation of burnout. Therefore, Schaufeli redefined the concept of burnout, and developed a new burnout assessment tool for groups and individuals based on the new concept of burnout-Burnout Assessment Tool (BAT) . This paper systematically reviews the proposal of the new concept of burnout, the development of the BAT scale and its application at home and abroad, and analyzes the advantages and application prospects of the BAT scale.

Objective:To verify the reliability and validity of the short version of the Chinese version of the new Burnout Assessment Tool (12 items version of Burnout Assessment Tool, BAT-12) .Methods:From October to December 2023, the cluster sampling method was adopted, and the Chinese version of the Maslach Burnout Inventory-General Survey (MBI-GS) and the BAT-12 scale were used simultaneously. A questionnaire survey was conducted among enterprise employees (4329 people) in Shanghai and Guangdong Province. Exploratory factor analysis and confirmatory factor analysis and other methods were employed to analyze its reliability (internal consistency reliability and combination reliability) and validity (structural validity, convergent validity, discriminative validity and criterion validity) .Results:A total of 4329 questionnaires were retrieved, among which 4086 were valid, with an effective recovery rate of 94.39%. The Cronbach's α coefficient of the Chinese version of the BAT-12 total scale was 0.956, and the combination reliability coefficients of each dimension ranged from 0.914 to 0.952. The scale contained 12 items, and 4 common factors were extracted from exploratory factor analysis, including exhaustion, mental distance, cognitive impairment, and emotional impairment. The cumulative variance contribution rate reached 86.63%. Confirmatory factor analysis showed that both the four-factor correlation model and the second-order model were ideally fitted overall, with the four-factor correlation model having the best data fit (comparative fit index 0.972, Tuker-Lewis fit index 0.962, root mean square error of approximation 0.064, and standardized root mean square residual 0.033). The average variance extracted (AVE) of each dimension of the scale ranged from 0.780 to 0.868, and the square roots of AVE (0.883 to 0.932) were all greater than their Pearson correlation coefficients (0.630 to 0.850). The Pearson correlation coefficient between BAT-12 and MBI-GS was 0.787 ( P<0.001) . Conclusion:The Chinese version of the BAT-12 scale demonstrates strong internal consistency and combination reliability, with excellent reliability. Its four-dimensional structure validity has been validated, with good convergent validity, discriminative validity, and ideal criterion validity, demonstrating excellent validity. The Chinese version of the BAT-12 scale can be used to measure the level of occupational burnout among Chinese employees.

Objective To investigate the clinical value of 3.0 T functional magnetic resonance imaging in evaluating postoperative recurrence and treatment efficacy of glioma. Methods A retrospective analysis was conducted on the general clinical data of 67 patients who underwent glioma surgery at the Second Affiliated Hospital of Xingtai Medical University. All patients received chemotherapy for more than one month post-surgery. Recurrence of glioma was diagnosed based on secondary surgery or pathological biopsy results as the gold standard. From 3 to 6 months post-surgery, computerized tomography was used to measure cerebral blood volume (CBV), three-dimensional arterial spin labeling was used to measure cerebral blood flow (CBF) and relative CBF (rCBF), and diffusion-weighted imaging with and without contrast enhancement was used to measure apparent diffusion coefficient (ADC). Data were analyzed using SPSS 26.0 statistical software, and the t test or χ² test was used for inter-group comparisons based on data type. The receiver operating characteristic (ROC) curve was applied to evaluate the value of CBV, rCBF, and ADC in assessing postoperative recurrence and treatment efficacy of glioma. Results Patients with high-grade gliomas showed significantly higher CBV and rCBF and significantly lower ADC compared to those with low-grade gliomas (P < 0.05). The area under the ROC curve (AUC) of CBV, rCBF, and ADC in combination for grading glioma was 0.960, which was higher than those of individual indicators (0.790, 0.955, and 0.795, P < 0.05). The recurrence group had significantly higher CBV and rCBF and lower ADC compared to the non-recurrence group (P < 0.05). The AUC of CBV, rCBF, and ADC in combination for predicting postoperative glioma recurrence was 0.965, which was significantly higher than those of individual indicators (0.729, 0.929, and 0.941, P < 0.05). CBV and rCBF were lower and ADC was higher in the effective treatment group than in the ineffective treatment group (P < 0.05). The AUC of CBV, rCBF, and ADC in combination for evaluating glioma treatment efficacy was 0.985, which was higher than those of individual indicators (0.842, 0.898, and 0.961, P < 0.05). Conclusion The CBV, rCBF, and ADC in combination has shown high diagnostic accuracy and predictive efficacy in the evaluation of postoperative recurrence and treatment efficacy of glioma, which has important clinical application value.

Objective:To establish a prognostic model based on endoplasmic reticulum stress-related genes for evaluating the prognosis of patients with renal cell carcinoma.Methods:This study utilized Non-negative Matrix Factorization to identify molecular subgroups based on endoplasmic reticulum stress-related genes and employed Weighted Correlation Network Analysis to determine co-expressed genes associ-ated with these subgroups.A risk prognostic model was constructed using univariate Cox regression analysis and Lasso regression analysis.Preliminary experimental validations were conducted to elucidate the biological functions of model genes in renal cell carcinoma.Results:Two molecular subgroups with distinct survival prognoses were identified,and an intersection of related genes was used to construct a nov-el endoplasmic reticulum stress-related prognostic model.Patients in the high-risk group exhibited significantly poorer overall survival in both the training and validation cohorts.In vivo experiments demonstrated that PCK1,a model gene,could inhibit the proliferation,migra-tion,and invasion of renal cell carcinoma cells.Conclusions:The risk scoring model developed in this study effectively predicts the survival probability of renal cell carcinoma patients and can serve as an independent prognostic indicator.This model offers a new direction for per-sonalized treatment strategies in renal cell carcinoma patients.

Objective:To evaluate the correlation between corneal biomechanical parameters and Schlemm canal (SC) and trabecular meshwork (TM) in patients with myopia.Methods:Eighty-one consecutive patients who underwent refractive surgery at Wuhan EyeGood Ophthalmology Hospital from May to December 2021 were enrolled.Patients were divided into two groups according to spherical equivalent (SE) and axial length (AL), including 39 patients with 39 eyes in low to moderate myopia group (SE: -0.5 to -6.0 D, AL<26 mm) and 42 patients with 42 eyes in high myopia group (SE≤-6.0 D, AL≥26 mm).Another 20 cases (20 eyes) from the same period of health examinations were included as a healthy control group, with 10 males and 10 females.All subjects' right eye data were included for analysis.The corneal biomechanical parameters were measured with Corvis ST.The morphology of the SC and TM was observed with Zeiss Cirrus HD-OCT 5000.The differences in corneal biomechanical parameters, nasal SC (SC-N) area, temporal SC (SC-T) area, nasal TM (TM-N) width and thickness and temporal TM (TM-T) width were compared between the two groups.Correlations between corneal biomechanical parameters and SC, TM and biomechanically corrected intraocular pressure (bIOP) in myopic patients were analyzed using Pearson linear correlation analysis.The study followed the Declaration of Helsinki, and the study protocol was reviewed and approved by the Ethics Committee of Wuhan EyeGood Ophthalmology Hospital (No.AGQGSS-06).All patients were aware of the purpose and significance of this study and voluntarily signed the informed consent form.Results:The distance between the two peaks of the cornea at highest concavity (PD) was (5.49±0.28)mm in high myopia group, which was higher than (5.36±0.28)mm in low to moderate myopia and (5.05±0.29)mm in healthy control group, and the radius of curvature at highest concavity (HCR) and the stress-strain index (SSI) values in high myopia group were lower than those in low to moderate myopia and healthy control groups, with statistically significant differences (all P<0.05).The SC-T area and SC-N area were significantly higher and TM-T thickness was lower in high myopia group than those in low to moderate myopia and healthy control groups (all P<0.05).PD was positively correlated with SC-N area in myopic patients ( r=0.26, P=0.02).bIOP was negatively correlated with PD, the amount of corneal displacement at highest degree of concavity (DA), inverse concave radius (IR) and deformation amplitude ratio (DA ratio) ( r=-0.79, -0.81, -0.45, -0.50; all P=0.00) and positively correlated with stiffness parameters at applanation 1 (SP-A1) and SSI ( r=0.45, 0.46; all P=0.00). Conclusions:PD values are greater in myopic patients.The greater the PD, the greater the SC-N area.The greater the refractive error, the longer the AL, and the thinner the TM thickness.

This article briefly introduces the new concept of burnout and the new burnout assessment tool BAT. In the past, the most famous burnout definition was proposed by Maslach and Leiter. The Maslach Burnout Inventory (MBI) developed by Maslach has also been the gold standard for evaluating burnout. With the development of burnout research, the concept of burnout has a certain defect. MBI has also been criticized in conceptual, practical and psychological measurement. It may hinder new research, and urgently needs to improve the concept and evaluation of burnout. Therefore, Schaufeli redefined the concept of burnout, and developed a new burnout assessment tool for groups and individuals based on the new concept of burnout-Burnout Assessment Tool (BAT) . This paper systematically reviews the proposal of the new concept of burnout, the development of the BAT scale and its application at home and abroad, and analyzes the advantages and application prospects of the BAT scale.

Objective:To verify the reliability and validity of the short version of the Chinese version of the new Burnout Assessment Tool (12 items version of Burnout Assessment Tool, BAT-12) .Methods:From October to December 2023, the cluster sampling method was adopted, and the Chinese version of the Maslach Burnout Inventory-General Survey (MBI-GS) and the BAT-12 scale were used simultaneously. A questionnaire survey was conducted among enterprise employees (4329 people) in Shanghai and Guangdong Province. Exploratory factor analysis and confirmatory factor analysis and other methods were employed to analyze its reliability (internal consistency reliability and combination reliability) and validity (structural validity, convergent validity, discriminative validity and criterion validity) .Results:A total of 4329 questionnaires were retrieved, among which 4086 were valid, with an effective recovery rate of 94.39%. The Cronbach's α coefficient of the Chinese version of the BAT-12 total scale was 0.956, and the combination reliability coefficients of each dimension ranged from 0.914 to 0.952. The scale contained 12 items, and 4 common factors were extracted from exploratory factor analysis, including exhaustion, mental distance, cognitive impairment, and emotional impairment. The cumulative variance contribution rate reached 86.63%. Confirmatory factor analysis showed that both the four-factor correlation model and the second-order model were ideally fitted overall, with the four-factor correlation model having the best data fit (comparative fit index 0.972, Tuker-Lewis fit index 0.962, root mean square error of approximation 0.064, and standardized root mean square residual 0.033). The average variance extracted (AVE) of each dimension of the scale ranged from 0.780 to 0.868, and the square roots of AVE (0.883 to 0.932) were all greater than their Pearson correlation coefficients (0.630 to 0.850). The Pearson correlation coefficient between BAT-12 and MBI-GS was 0.787 ( P<0.001) . Conclusion:The Chinese version of the BAT-12 scale demonstrates strong internal consistency and combination reliability, with excellent reliability. Its four-dimensional structure validity has been validated, with good convergent validity, discriminative validity, and ideal criterion validity, demonstrating excellent validity. The Chinese version of the BAT-12 scale can be used to measure the level of occupational burnout among Chinese employees.