Objective To investigate the 30-day mortality risk factors in elderly patients with heart failure with reduced ejection fraction (HFrEF) after isolated coronary artery bypass grafting (CABG) and to construct a nomogram for predicting mortality risk. Methods A retrospective analysis of elderly (≥70 years) HFrEF patients undergoing isolated CABG at Tianjin Chest Hospital from 2010 to 2024 was performed. Simple random sampling in R software was used to divide the dataset into training and validation sets in a 7 : 3 ratio. The training set was further divided into survivors and non-survivors. Univariate logistic regression was performed to identify differences between groups, followed by multivariate logistic regression to select independent risk factors for death and to establish a death-risk nomogram, which underwent internal validation. The predictive value of the nomogram was assessed by plotting receiver operating characteristic (ROC) curves, calibration curves, and decision-curve analyses for both the training and validation sets. Results A total of 656 patients were included. The training set consisted of 458 patients (survivors 418, deaths 40); the validation set consisted of 198 patients (survivors 180, deaths 18). In the training set, univariate analysis showed significant differences between survivors and deaths for creatinine (Cr) level, brain natriuretic peptide (BNP), maximum Cr, intra-aortic balloon pump (IABP) use, assisted ventilation, reintubation, hyperlactatemia, low cardiac output syndrome, and renal failure (P<0.05). After multivariable logistic regression, five independent risk factors were identified: IABP use (OR=3.391, 95%CI 1.065-11.044, P=0.038), reintubation (OR=15.991, 95%CI 4.269-67.394, P<0.001), hyperlactatemia (OR=8.171, 95%CI 2.057-46.089, P=0.007), Cr (OR=4.330, 95%CI 0.997-6.022, P=0.024), and BNP (OR=1.603, 95%CI 1.000-2.000, P=0.010). Accordingly, a nomogram predicting mortality risk was constructed. The ROC and calibration analyses indicated good predictive value: area under the curve (AUC) in the training set was 0.898 (95%CI 0.831-0.966) and in the validation set was 0.912 (95%CI 0.805-1.000). Calibration and decision-curve analyses showed good agreement and clinical utility. Conclusion The nomogram incorporating IABP use, reintubation, hyperlactatemia, creatinine, and BNP provides good predictive value for 30-day mortality after CABG in elderly patients with HFrEF and demonstrates potential clinical utility.

Objective To analyze the application of NCompass nitinol stone retrieval basket in ureteroscopic holmium laser lithotripsy, and to evaluate its roles in reducing stone retropulsion and improving stone-free rate(SFR)and stone acquisition rate.Methods A retrospective analysis was conducted on the data of patients with upper ureteral stones＞1 cm who underwent ureteroscopic holmium laser lithotripsy at China-Japan Friendship Hospital during Jan.2018 and Dec.2023, including 96 cases were in the NCompass group, and 68 cases in the non-basket group.The operation time, stone retropulsion rate, usage rate of flexible ureteroscopy, SFR and stone acquisition rate were compared between the two groups.Results There were no significant differences in the operation time [(29.2±8.4)min vs.(30.9±7.2)min, P=0.170] and stone retropulsion rate(15.6% vs. 27.9%, P=0.055)between the NCompass group and non-basket group.The NCompass group had significantly lower usage rate of flexible ureteroscopy than the non-basket group(24.0% vs. 47.1%, P=0.002), higher SFR 2 days(80.2% vs. 45.6%, P＜0.001)and 1 month(93.8% vs. 83.8%, P=0.040)after operation, as well as the stone acquisition rates 2 days(100% vs. 44.1%, P＜0.001)and 1 month(100% vs. 58.8%, P＜0.001)after operation. Conclusion The NCompass nitinol stone retrieval basket plays dual roles in ureteroscopic holmium laser lithotripsy, which can effectively intercept stones and extract stone fragments, thus significantly improving the SFR and stone acquisition rate, and reducing stone retropulsion and the use of flexible ureteroscopy.

Gastric cancer remains a highly prevalent malignancy worldwide, with surgical resection currently constituting the cornerstone of treatment aimed at improving long-term patient survival. Owing to their notable advantages, including reduced surgical trauma and accelerated postoperative recovery, minimally invasive procedures are progressively supplanting conventional open surgery and have become the mainstream approach in gastric cancer management. Concurrently, the rapid advancement of artificial intelligence (AI) technologies has enabled real-time intraoperative monitoring of surgical scenes, thereby furnishing novel technical support for adjunctive decision-making, surgical navigation, and skill assessment during gastrectomy. This article provides a systematic review of the current status of AI applications in minimally invasive gastric cancer surgery, with a particular focus on research progress pertaining to instrument recognition, surgical phase identification, delineation of normal anatomical structures, detection of metastatic foci, and early warning of intraoperative adverse events. Furthermore, we discuss the potential value of AI in enhancing surgical efficiency, ensuring patient safety, and optimizing surgical education. On this basis, we further analyze the principal challenges and inherent risks confronting current AI systems, with the aim of informing future technological innovation and facilitating clinical translation.

Abstract To further differentiate the differentiated effects of emotional responses to social media among adolescents, the study systematically reviews the main current methods for measuring social media emotional responses. It elaborates on the impacts of adolescents emotional responses to social media on their physical health, mental health, and social adaptation, as well as the multiple pathways and potential mechanisms through which adverse health effects are induced. It also highlights the current lack of empirical support for biological mechanisms in existing research, and provides a reference for future in depth exploration of biological mechanisms and the development of effective intervention strategies.

High-throughput sequencing-based high-throughput screening （HTS²） technology， as a new advancement in the field of high-throughput biotechnology， is the world's first technology to integrate high-throughput sequencing into large-scale drug screening and target discovery. The artificially designed DNA probes were bound to the undetermined mRNAs of thousands of genes in cell lysates， and then the probes were ligated with ligases. The large-scale simultaneous detection of gene expression changes in thousands of drug-treated cell samples was performed using barcoding， automated operating platforms， and high-throughput sequencers. This technology enables high-throughput identification of drugs that significantly perturb the gene expression profiles characteristic of diseases. It can also take gene expression signature as the readout and exert great high-throughput advantages in the screening of multi-drug， multi-component， and multi-target drugs， as well as the research on complex mechanisms. Therefore， it is particularly suitable for elucidating the multi-target mechanisms of traditional Chinese medicine and identifying its multi-effective components. Its main technical advantages include high throughput， automation， and low cost. In recent years， HTS² technology has yielded important achievements in the elucidation of the mechanism of action of traditional Chinese medicine formulas， the scientific connotation analysis of the regional characteristics of traditional Chinese medicine， the targeted isolation of active compounds of traditional Chinese medicine， and the discovery of novel pharmacological functions of monomeric compounds of traditional Chinese medicine. In the era of artificial intelligence， HTS² technology will serve as a powerful tool for generating high-quality， original big data of traditional Chinese medicine， providing core data support and promoting AI-driven traditional Chinese medicine research. Ultimately， HTS² technology offers new strategies and critical data support for deeply analyzing the scientific connotation of traditional Chinese medicine and discovering novel traditional Chinese medicine-based drugs， thereby accelerating the modernization and internationalization of traditional Chinese medicine in China.

Objective:To investigate the correlation between thyroid function and the total cerebral small vessel disease score in the elderly.Methods:This cross-sectional study included elderly people who underwent physical examinations at the Geriatrics Department of Beijing Hospital from April 2019 to December 2020. Participants were devided into 5 groups based on the total score of cerebral small vessel disease: 0, 1, 2, 3, and 4. General clinical data were collected through physical examination reports and outpatient medical records. All participants underwent a 3T brain magnetic resonance imaging (MRI), scan and data were collected to calculate the total cerebral small vessel disease score. Fasting venous blood samples were taken in the morning to measure thyroid hormone levels. Relationships between thyroid hormone levels and lacunar infarcts, microbleeds, white matter hyperintensities (WMH), enlarged perivascular spaces, and total cerebral small vessel disease score were analyzed using Spearman correlation. Multivariate ordinal logistic regression was also used to analyze factors associated with total cerebral small vessel disease score.Results:A total of 545 elderly individuals were included, with a mean age of (75.16±9.18) years, and 505 (92.7%) were male. The number of subjects with a total cerebral small vessel disease score of 0 were 207 (38.0%), 1 were 182 (33.4%), 2 were 99 (18.2%), 3 were 41 (7.5%), and 4 were 16 (2.9%). Statistical significant differences were found in age, fasting blood glucose, systolic blood pressure, triiodothyronine (TT3), free triiodothyronine (FT3), and the proportion of hypertensive patients among the groups (all P<0.05). Spearman correlation analysis showed that TT3 ( r=-0.138, P=0.001) and FT3 ( r=-0.213, P<0.001) were negatively correlated with total cerebral small vessel disease score. Multivariate ordinal logistic regression analysis revealed that age was independently and positively associated with total cerebral small vessel disease score ( OR=1.139, 95% CI: 1.087-1.193, P<0.001), while FT3 was independently and negatively associated with total cerebral small vessel disease score ( OR=0.331, 95% CI: 0.118-0.929, P=0.009). Conclusion:In the elderly population, FT3 levels are independently and negatively associated with total cerebral small vessel disease score.

Objective:To investigate the relationship between the level of angiotensin Ⅱ type 1 receptor autoantibody (AT1-AA) in the uterine fluid and the thickness of endometrium in infertile women with chronic endometritis.Methods:A case-control study was conducted to select 122 patients who underwent hysteroscopy and endometrial tissue biopsy at Assisted Reproduction Center, Taiyuan Central Hospital due to infertility from March 2023 to January 2024 as the study subjects. According to the results of hysteroscopy and endometrial tissue biopsy, the patients were divided into 52 cases in the infertility group with normal endometrium (NE infertility group) and the chronic endometritis combined with infertility group (CE infertility group) with 70 cases. Enzyme-linked immunosorbent assay was used to detect the level of AT1-AA in uterine fluid of the two groups. General clinical data, AT1-AA absorbance value of uterine fluid and uterine related indexes of the two groups were analyzed, and the correlations between AT1-AA level and the variation of indexes were analyzed.Results:Gravidity (median: 1 vs 1; Z=7.029, P=0.030) and parity (median: 0 vs 0; Z=12.258, P=0.002) in CE infertility group were higher than those in NE infertility group. There was AT1-AA in the uterine fluid, and the level of AT1-AA in CE infertility group was significantly higher than that in NE infertility group (median: 2.07 vs 1.44; Z=3.099, P=0.029). The endometrial thickness of CE infertility group was lower than that of NE infertility group (median: 6.0 vs 7.0 mm; Z=-2.179, P=0.029), and there were no statistical differences in other indexes between the two groups (all P>0.05). Further correlation analysis showed that there were no correlation between the level of AT1-AA in uterine fluid and parity, endometrial thickness, gravidity in NE infertility group (all P>0.05). However, the level of AT1-AA in uterine fluid of CE infertility group was positively correlated with parity (Spearman′s r=0.339, P=0.004), and negatively correlated with endometrial thickness (Spearman′s r=-0.499, P<0.001), but not correlated with gravidity ( P>0.05). Conclusions:AT1-AA is present in the uterine fluid of infertile women. The elevated level of AT1-AA in uterine fluid of infertile women with CE is related to the thinning of the endometrium.

Objective:To explore the correlation between serum soluble triggering receptor expressed on myeloid cells 2 (sTREM2) and cognitive impairment in patients with cerebral small vessel disease (CSVD), and the role of deep medullary vein (DMV) score in this process.Methods:A total of 140 patients with CSVD admitted to the Department of Neurology, the First Affiliated Hospital of Henan Medical University from December 2022 to August 2024 were selected as the research objects. The basic data statistics, head magnetic resonance imaging examination, cognitive function assessment, serum sTREM2 detection and DMV score were performed. All data were analyzed by SPSS 29.0 software and GraphPad Prism 10.0 software packages. Logistic regression model was used to explore the influencing factors of cognitive impairment. Structural equation model was used to analyze the mediating effect of DMV score on the association between serum sTREM2 and cognitive impairment. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of serum sTREM2 level and DMV score for cognitive impairment in CSVD patients.Results:Serum sTREM2 level ( B=0.017, OR=1.017, 95% CI=1.003-1.031), DMV score ( B=0.375, OR=1.455, 95% CI=1.175-1.802) and years of education ( B=-0.248, OR=0.780, 95% CI=0.635-0.958) were risk factors for cognitive impairment (all P<0.05). sTREM2 not only directly affected cognitive function, but also indirectly affected cognitive function through DMV score. The direct effect (effect size=-0.022) and mediating effect (effect size=-0.007) accounted for 75.9% and 24.1% of the total effect (effect size=-0.029), respectively. The areas under the ROC curve of serum sTREM2 level, DMV score, and their combination for predicting cognitive impairment in CSVD patients were 0.880, 0.891, and 0.910, respectively (all P<0.001). Conclusion:Serum sTREM2 not only directly affects the cognitive function of patients with cerebral small vessel disease, but also indirectly affects cognitive function through DMV score. The combination of serum sTREM2 levels and DMV score has high predictive value for the risk of CSVD-related cognitive impairment.

Objective To investigate the influencing factors for the short-term prognosis of patients with alcohol-related liver diseases-acute-on-chronic liver failure(ALD-ACLF)comorbid with infection.Methods A total of 89 ALD-ACLF patients with infection who were admitted to the Fifth Medical Center of PLA General Hospital from January 2019 to December 2021 were enrolled as subjects,and related clinical data were collected at baseline(time of patient enrollment).According to the 28-day survival status of patients,they were divided into survival group with 53 patients and death group with 36 patients,and baseline clinical data were compared between the two groups.The t-test was used for comparison of normally distributed continuous data between groups,and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between groups;the chi-square test was used for comparison of categorical data between groups.A non-conditional Logistic regression analysis was used to perform the multivariate analysis.The Z-test was used for comparison of the area under the ROC curve(AUC),and the diagnostic value of the model was assessed.Results Compared with the survival group,the death group had significantly higher hemoglobin(t=-2.397,P=0.019),alanine aminotransferase(Z=-3.437,P=0.001),gamma-glutamyl transpeptidase(Z=-2.617,P=0.009),creatinine(Z=-3.938,P<0.001),blood urea nitrogen(Z=-3.423,P=0.001),NH3(Z=-4.406,P<0.001),international normalized ratio(Z=-3.428,P=0.001),C-reactive protein(Z=-2.128,P=0.033),procalcitonin(Z=-2.441,P=0.015),Model for End-Stage Liver Disease(MELD)score(t=-4.817,P<0.001),incidence rate of acute kidney injury(χ2=21.602,P<0.001),incidence rate of pulmonary infection(χ2=4.866,P=0.027),and incidence rate of shock(χ2=16.285,P<0.001),as well as significantly lower albumin(Z=-2.473,P=0.013)and incidence rate of abdominal infection(χ2=5.897,P=0.015).The multivariate analysis showed that NH3(odds ratio[OR]=1.027,95%confidence interval[CI]:1.006-1.049,P=0.012),MELD score(OR=1.103,95%CI:1.011-1.203,P=0.027],and the incidence rate of shock(OR=6.326,95%CI:1.533-26.101,P=0.011)were independent risk factors for 28-day mortality in ALD-ACLF patients comorbid with infection.Based on these factors,a predictive model was established as Y=0.027×NH3+0.098×MELD score+1.845×shock-4.111.The ROC curve analysis showed that the new model had an AUC of 0.861,a sensitivity of 77.78%,and a specificity of 88.68%,while MELD score had an AUC of 0.776,a sensitivity of 77.78%,and a specificity of 67.92%,suggesting that the new model had a significantly higher diagnostic value than MELD score(Z=2.136,P=0.032 6).Conclusion ALD-ACLF patients with infection tend to have a poor short-term prognosis,and MELD score,NH3,and shock are influencing factors for the short-term prognosis of such patients.The combination of these three factors has a high value in predicting short-term prognosis.

Objective:To investigate the optimal processing technology for Sophorae Fructus Carbonisata(char-coal-processed immature fruit of Sophora japonica)by integrating thermal analysis,response surface methodology(RSM),and intelligent sensory technology.Methods:The thermal analysis technology was used to simulate the processing process of traditional Chinese medicine(TCM),the pyrolysis characteristics of Sophorae Fructus powder were studied,and the processing process was discussed by intelligent sensory analysis to determine the temperature range.Using the contents of genistein,kaempferol,and quercetin as comprehensive evaluation indices,the RSM was applied to optimize the processing technology for Sophorae Fructus Carbonisata.Results:The optimal process-ing technology for Sophorae Fructus Carbonisata was identified as:Stir-frying temperature was 290 ℃,Stir-frying time was 14 min.Conclusion:The integrated approach of thermal analysis-RSM and intelligent sensory technology has successfully established an accurate predictive model for active components in Sophorae Fructus.The optimized processing technology not only enhances the reproducibility of charcoal processing but also lays a foundation for the formulation of national quality standards for this TCM.