Coronary artery bypass grafting(CABG) remains a cornerstone treatment for complex coronary artery disease, with long-term graft patency being essential for clinical success. In 2024, the European Society of Cardiology(ESC) and the European Association for Cardio-Thoracic Surgery(EACTS) jointly released an expert consensus document on the intraoperative and postoperative management of CABG grafts. This article provides a comprehensive Chinese translation and interpretation of the consensus, covering key topics including graft harvesting techniques(such as skeletonized vs. pedicled, endoscopic vs. open harvesting), optimal preservation solutions, mechanisms and prevention of graft spasm, and secondary prevention strategies involving antithrombotic and lipid-lowering therapies. Additionally, based on the current situation of clinical practice in China and the characteristics of the Chinese population, the article discussed some key issues in depth, put forward adaptive suggestions, and pointed out the future research direction. The translated consensus and accompanying commentary aim to facilitate the dissemination and application of ESC-endorsed recommendations in Chinese clinical settings, promoting more standardized and evidence-based graft management in CABG surgery.

Artificial intelligence(AI)technology has been demonstrated that have unique advantages in medical diagnosis based on massive clinical data.Its potential prospects has been found in the diagnosis and treatment of cardiovascular disease(CVD).AI technology has extent its priority in electrocardiogram reading,differential analysis and disease classification.Interventional therapy is an important part of the diagnosis and treatment of CVD.This paper aim to review the latest developments to summarize the AI-assisted CVD interventional diagnosis and treatment technology.

The gut microbiota regulates intestinal nutrient absorption, participates in modulating host glucolipid metabolism, and contributes to ameliorating glucolipid metabolism disorder. Dysbiosis of the gut microbiota can compromise the integrity of the intestinal mucosal barrier, induce inflammatory responses, and exacerbate insulin resistance and abnormal lipid metabolism in the host. Dangua Humai Oral Liquid, a hospital-developed formulation for regulating glucolipid metabolism, has been granted a national invention patent and demonstrates significant clinical efficacy. This study aimed to investigate the effects of Dangua Humai Oral Liquid on gut microbiota and the intestinal mucosal barrier in a mouse model with glucolipid metabolism disorder. A glucolipid metabolism disorder model was established by feeding mice a high-glucose and high-fat diet. The mice were divided into a normal group, a model group, and a treatment group, with eight mice in each group. The treatment group received a daily gavage of Dangua Humai Oral Liquid(20 g·kg~(-1)), while the normal group and model group were given an equivalent volume of sterile water. After 15 weeks of intervention, glucolipid metabolism, intestinal mucosal barrier function, and inflammatory responses were evaluated. Metagenomics and untargeted metabolomics were employed to analyze changes in gut microbiota and associated metabolic pathways. Significant differences were observed between the indicators of the normal group and the model group. Compared with the model group, the treatment group exhibited marked improvements in glucolipid metabolism disorder, alleviated pathological damage in the liver and small intestine tissue, elevated expression of recombinant claudin 1(CLDN1), occluding(OCLN), and zonula occludens 1(ZO-1) in the small intestine tissue, and reduced serum levels of inflammatory factors lipopolysaccharides(LPS), lipopolysaccharide-binding protein(LBP), interleukin-6(IL-6), and tumor necrosis factor-α(TNF-α). At the phylum level, the relative abundance of Bacteroidota decreased, while that of Firmicutes increased. Lipid-related metabolic pathways were significantly altered. In conclusion, based on the successful establishment of the mouse model of glucolipid metabolism disorder, this study confirmed that Dangua Humai Oral Liquid effectively modulates gut microbiota and mucosal barrier function, reduces serum inflammatory factor levels, and regulates lipid-related metabolic pathways, thereby ameliorating glucolipid metabolism disorder.
Animals ; Gastrointestinal Microbiome/drug effects* ; Mice ; Intestinal Mucosa/microbiology* ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Mice, Inbred C57BL ; Humans ; Glycolipids/metabolism* ; Lipid Metabolism/drug effects* ; Administration, Oral ; Disease Models, Animal

OBJECTIVE: To compare the clinical efficacy of oblique lateral interbody fusion(OLIF) combined with lateral fixation and transforaminal lumbar interbody fusion(TLIF) in patients with lumbar spinal stenosis. METHODS: Totally 47 patients with lumbar stenosis from November 2018 to December 2021 were analyzed retrospectively and were divided into two groups according to the surgical methods. Among them, 21 cases underwent oblique lumbar interbody fusion supplemental anterolateral screw and rod instrumentation, including 5 males and 16 females, with a mean age of (68.19±6.13) years old ranging 55 to 74 years; the other 26 cases underwent posterior pedicle screw fixation and reduction were recorded, including 8 males and 18 females with a mean age of (65.35±7.64) years old ranging 54 to 78 years. Visual analogue scale(VAS) of pain was recorded to evaluate the degree of low back pain and lower extremity pain. The radiographic parameters were collected to evaluate the efficacy of two approaches including disc height, foraminal height, canal sagittal diameter and cross-sectional area. RESULTS: All operations were completed successfully. The wound healed normally and bone fusion was obtained in the last final follow up. No serious complication was occurred in both groups. One case of dural tear occurred in direct compression group. Four cases of left thigh weakness and pain were recorded in indirect decompression group. The average postoperative follow-up was(21.69±4.37)months in direct compression group, while(20.43±4.80)months in another group. There were no significant difference in bone density, body mass index(BMI), hospital stay, Cobb angel(P>0.05). The differences in intra-operative blood loss, operation time, disc height, foraminal height between two groups were statistically significant(P<0.05). The area and sagittal diameter of the spinal canal in the two groups were significantly improved after surgery(P<0.05). CONCLUSION Both two fusion methods have achieved good clinical results in the treatment of lumbar spinal stenosis, with the advantages of good stability, fast recovery and high fusion rate. Compared with TLIF, the advantage of OLIF has greater advantages in less bleeding and less trauma.
Humans ; Male ; Female ; Spinal Stenosis/surgery* ; Spinal Fusion/methods* ; Aged ; Middle Aged ; Lumbar Vertebrae/surgery* ; Retrospective Studies ; Treatment Outcome

PURPOSE: To investigate the protective effect of sub-hypothermic mechanical perfusion combined with membrane lung oxygenation on ischemic hypoxic injury of yorkshire brain tissue caused by traumatic blood loss. METHODS: This article performed a random controlled trial. Brain tissue of 7 yorkshire was selected and divided into the sub-low temperature anterograde machine perfusion group (n = 4) and the blank control group (n = 3) using the random number table method. A yorkshire model of brain tissue injury induced by traumatic blood loss was established. Firstly, the perfusion temperature and blood oxygen saturation were monitored in real-time during the perfusion process. The number of red blood cells, hemoglobin content, NA⁺, K⁺, and Ca²⁺ ions concentrations and pH of the perfusate were detected. Following perfusion, we specifically examined the parietal lobe to assess its water content. The prefrontal cortex and hippocampus were then dissected for histological evaluation, allowing us to investigate potential regional differences in tissue injury. The blank control group was sampled directly before perfusion. All statistical analyses and graphs were performed using GraphPad Prism 8.0 Student t-test. All tests were two-sided, and p value of less than 0.05 was considered to indicate statistical significance. RESULTS: The contents of red blood cells and hemoglobin during perfusion were maintained at normal levels but more red blood cells were destroyed 3 h after the perfusion. The blood oxygen saturation of the perfusion group was maintained at 95% - 98%. NA⁺ and K⁺ concentrations were normal most of the time during perfusion but increased significantly at about 4 h. The Ca²⁺ concentration remained within the normal range at each period. Glucose levels were slightly higher than the baseline level. The pH of the perfusion solution was slightly lower at the beginning of perfusion, and then gradually increased to the normal level. The water content of brain tissue in the sub-low and docile perfusion group was 78.95% ± 0.39%, which was significantly higher than that in the control group (75.27% ± 0.55%, t = 10.49, p < 0.001), and the difference was statistically significant. Compared with the blank control group, the structure and morphology of pyramidal neurons in the prefrontal cortex and CA1 region of the hippocampal gyrus were similar, and their integrity was better. The structural integrity of granulosa neurons was destroyed and cell edema increased in the perfusion group compared with the blank control group. Immunofluorescence staining for glail fibrillary acidic protein and Iba1, markers of glial cells, revealed well-preserved cell structures in the perfusion group. While there were indications of abnormal cellular activity, the analysis showed no significant difference in axon thickness or integrity compared to the 1-h blank control group. CONCLUSIONS Mild hypothermic machine perfusion can improve ischemia and hypoxia injury of yorkshire brain tissue caused by traumatic blood loss and delay the necrosis and apoptosis of yorkshire brain tissue by continuous oxygen supply, maintaining ion homeostasis and reducing tissue metabolism level.
Animals ; Perfusion/methods* ; Disease Models, Animal ; Brain Injuries/etiology* ; Swine ; Male ; Hypothermia, Induced/methods*

Aerosol-assisted plasma amplification laser-induced breakdown spectroscopy(LIBS)was employed for phosphorus detection in water.To address the multivariate coupling effects in LIBS and nebulization sampling system,an orthogonal experiment was employed to systematically optimize the key experimental parameters.Using the orthogonal experimental design,the parametric effects of laser energy(output voltage),signal acquisition delay,liquid velocity,and gas velocity on the signal to background ratio(SBR)of P I 213.618 nm were evaluated,and the optimal conditions were achieved,including laser energy of 86 mJ,delay time of 3 μs,gas velocity of 1.05 mL/min,and liquid velocity of 60 μL/min,which were in agreement with the control-variable optimization results.Moreover,the SBR response trends at P I 213.618 nm with all experimental parameters was strong in consistency with control-variable optimization results,which demonstrated the validity of the orthogonal array experimental design.This study established an efficient and accurate parameter optimization methodology for complex LIBS systems,significantly advancing the application of LIBS in environmental monitoring.

Artificial intelligence(AI)technology has been demonstrated that have unique advantages in medical diagnosis based on massive clinical data.Its potential prospects has been found in the diagnosis and treatment of cardiovascular disease(CVD).AI technology has extent its priority in electrocardiogram reading,differential analysis and disease classification.Interventional therapy is an important part of the diagnosis and treatment of CVD.This paper aim to review the latest developments to summarize the AI-assisted CVD interventional diagnosis and treatment technology.

Coronary artery bypass grafting(CABG) remains a cornerstone treatment for complex coronary artery disease, with long-term graft patency being essential for clinical success. In 2024, the European Society of Cardiology(ESC) and the European Association for Cardio-Thoracic Surgery(EACTS) jointly released an expert consensus document on the intraoperative and postoperative management of CABG grafts. This article provides a comprehensive Chinese translation and interpretation of the consensus, covering key topics including graft harvesting techniques(such as skeletonized vs. pedicled, endoscopic vs. open harvesting), optimal preservation solutions, mechanisms and prevention of graft spasm, and secondary prevention strategies involving antithrombotic and lipid-lowering therapies. Additionally, based on the current situation of clinical practice in China and the characteristics of the Chinese population, the article discussed some key issues in depth, put forward adaptive suggestions, and pointed out the future research direction. The translated consensus and accompanying commentary aim to facilitate the dissemination and application of ESC-endorsed recommendations in Chinese clinical settings, promoting more standardized and evidence-based graft management in CABG surgery.

Objective To explore the relationship and internal path between activities of daily living(ADL),sleep quality and mental health of community elderly people in Shanghai.Methods A questionnaire survey was conducted among community residents aged 60 years and older seeing doctors in community health care center of five streets in Shanghai during Sept to Dec,2021 using convenience sampling.Activities of Daily Living(ADL),Pittsburgh Sleep Quality Index(PSQI)and 10-item Kessler Psychological Distress Scale(K10)were adopted in the survey.Single factor analysis,correlation analysis and multiple linear regression were used to analyze the data.The effect relationship between the variables was tested using Bootstrap's mediated effects test.Results A total of 1 864 participants were included in the study.The average score was 15.53±4.47 for ADL,5.60±3.71 for PSQI and 15.50±6.28 for K10.The rate of ADL impairment,poor sleep quality,poor and very poor mental health of the elderly were 23.6%,27.3%,11.9%and 4.9%,respectively.ADL and sleep quality were all positively correlated with mental health(r=0.321,P＜0.001;r=0.466,P＜0.001);ADL was positively correlated with sleep quality(r=0.294,P＜0.001).Multiple linear results of factors influencing mental health showed that ADL(β= 0.457,95%CI:0.341-0.573),sleep quality(β =0.667,95%CI:0.598-0.737)and mental health were positively correlated(P＜0.001).Sleep quality partially mediated the relationship between ADL and mental health(95%CI:0.078-0.124)with an effect size of 33.0%.Conclusion Sleep quality is a mediator between ADL and mental health among community elderly people.Improving ADL and sleep quality may improve mental health in the population.

Pain is an unpleasant sensory and emotional experience involving multi-level neural processing, with a highly complex neural activity pattern. Recent advancements in non-invasive brain functional imaging techniques have enhanced our understanding of the neural mechanisms underlying pain processing in humans at the whole-brain level. Functional magnetic resonance imaging (fMRI), in particular, plays an important role due to its high spatial resolution and has driven significant advancements in this field. This review focused on fMRI studies of pain in humans. We first summarized research that explored brain responses to pain and showing that pain processing involves neural activities across multiple brain regions, constituting the pain matrix, which includes the somatosensory cortex, thalamus, insula, anterior cingulate cortex, and other areas. However, modulating the activity of a single brain region has limited effects on pain experiences, suggesting that pain processing entails communications among multiple brain regions. Thus, we reviewed research investigating interactions between brain regions, finding that multiple neural pathways spanning the whole brain are involved in pain processing. Beyond interactions between pairs of regions, understanding how these interactions construct a pain-related network is crucial for fully comprehending the neural representation of pain. Two main approaches are used to describe neural networks across the whole brain. The first one is theory-driven, such as graph theory. Using this method, researchers explored how network properties evolve during pain processing and identified a tightly connected network that emerges during pain, encompassing the somatosensory, salience, and fronto-parietal networks, forming a pain-related super-system. As pain is modulated or diminishes, this system becomes less connected. The second approach relies on data-driven methods, such as methods based on independent component analysis or principal component analysis, and machine learning. These methods are not constrained by pre-defined brain networks. Advancements in machine learning have provided valuable insights, enabling researchers to develop pain biomarkers with promising clinical potential. Theory-driven and data-driven approaches provide complementary insights into our understanding of the neural mechanisms of pain. In recent years, two rapidly advancing and promising techniques have further enhanced the precision and comprehensiveness of pain neural network. One is ultra-high-field magnetic resonance imaging, and the other is simultaneous brain-spinal imaging. Ultra-high-field magnetic resonance imaging has overcome previous spatial resolution limitations in fMRI. In subcortical regions, it helps distinguish neural activities of different nuclei. In cortical regions, high resolution enables the differentiation of neural activities across cortical layers, thereby providing a more in-depth and detailed understanding of the neural mechanisms of pain. Simultaneous brain-spinal imaging technology enables the exploration of brain-spinal networks involved in pain processing, making it possible to construct a comprehensive neural network representation of pain throughout the entire central nervous system. Based on current findings, we suggested that in the clinical treatment of pain using neuromodulation techniques, the selection of stimulation targets could be guided by the pain neural network. Targeting hubs within the pain network could significantly impact the network and may efficiently influence pain experiences. Finally, we discussed the limitations of current research on the neural representation of pain and proposed future directions, including exploring pain-specific representation, systematically comparing experimental and clinical pain, and examining individualized neural representations.