Objective:To evaluate the changes in cortical electroencephalogram (EEG) burst suppression rate (BSR) during sevoflurane anesthesia in septic mice and the correlation with cerebral blood perfusion.Methods:Forty SPF male C57BL/6J mice, aged 8-10 weeks, weighing 22-25 g, were divided into 2 groups ( n=20 each) by the random number table method: sham operation group (Sham group) and cecal ligation perforation group (CLP group). The sepsis model was established by cecal ligation and puncture in anesthetized animals. Mice in both groups inhaled 2% sevoflurane for 2 h. During sevoflurane anesthesia, BSR (30 min as an epoch) on electroencephalogram was recorded, and the cortical cerebral blood perfusion was recorded using the laser speckle flow imaging at 30, 60, 90 and 120 min of anesthesia. Results:Compared with Sham group, the cortical EEG BSR was significantly increased, and the cortical cerebral blood perfusion was decreased during sevoflurane anesthesia in CLP group ( P<0.05). Cortical EEG BSR was negatively correlated with cortical cerebral blood perfusion ( P<0.05). Conclusions:Cortical EEG BSR increases during sevoflurane anesthesia in septic mice, which may be related to decreased cortical cerebral blood perfusion.

Gouty arthritis （GA） is an inflammatory disorder caused by monosodium urate （MSU） crystal deposition， accompanied by elevated oxidative stress and aberrant release of inflammatory cytokines， resulting in joint tissue damage and intense pain. Nuclear factor E₂-related factor 2 （Nrf2）， a key transcription factor regulating the antioxidant defence system， exerts cytoprotective effects through dissociation from Kelch-like ECH-associated protein 1 （Keap1） and activates downstream antioxidant response element （ARE）-mediated pathways. It can upregulate the expression of heme oxygenase-1 （HO-1）， NADH quinone oxidoreductase 1 （NQO1）， superoxide dismutase （SOD）， and glutathione transferase （GST） to preserve redox homeostasis. Moreover， Nrf2 can suppress activation of NOD-like receptor protein 3 （NLRP3） inflammasomes， reduce pro-inflammatory cytokine production and release， modulate nuclear factor-κB （NF-κB） transcriptional activity， regulate gut microbiota balance， enhance mitophagy， and inhibit apoptosis， so as to reduce joint inflammation and pain and promote body recovery. This review systematically examined recent advancements in traditional Chinese medicine （TCM） for GA prevention and treatment via regulating the Nrf2 signaling pathway. It delineated Nrf2's molecular mechanisms and its role in GA pathogenesis and elucidated how TCM intervenes in multiple pathways including Keap1/Nrf2/ARE， Nrf2/HO-1（NQO1）， and Nrf2/NF-κB/NLRP3 to exert therapeutic effects. The study demonstrated that TCM monomers and compounds effectively counteract oxidative damage， attenuate inflammatory responses， promote autophagy， and inhibit apoptosis via regulating the Nrf2 signaling pathway. These findings not only clarify the scientific basis of TCM in GA treatment but also offer strategic insights for developing novel Nrf2-targeted anti-gout drugs.

Objective:To investigate the current awareness of large language models (LLM) among Chinese clinical physicians and analyze the application needs of cardiovascular specialists.Methods:This is a cross-sectional study utilized convenience sampling. In December 2023, a self-designed questionnaire was distributed to 7 980 clinical physicians, including 930 cardiologists. The survey collected demographic information, including work city (categorized as first-tier, new first-tier, second-tier, third-tier, and fourth-tier and below), hospital level, professional title, and department. And the awareness of LLM, and their application demands in clinical decision-making support, information filtering, and scientific research work were also collected. Differences in awareness and application requirements across geographic regions, hospital tiers, professional ranks, and medical departments were analyzed. Besides, specific demands of cardiovascular specialists were further examined.Results:Among the 7 980 clinical physicians, the awareness rate of LLM was 76.3% (6 088/7 980), and the utilization rate was 11.8% (942/7 980). For the 930 cardiologists, the awareness rate was 78.5% (730/930) and the utilization rate was 11.4% (106/930). Significant differences in awareness and utilization rates were observed across city tiers, hospital grades, and departments (all P<0.05). No significant difference was found among professional titles ( P=0.053). Among the 6 088 physicians aware of LLM, demand rates for clinical information filtering, clinical decision support, and research assistance were 87.3% (5 312/6 088), 78.4% (4 774/6 088), and 75.8% (4 616/6 088), respectively. For the 730 cardiologists aware of LLM, these rates were 91.0% (664/730), 79.2% (578/730), and 75.9% (554/730), respectively. Significant differences in demands for clinical information filtering and research assistance were observed across city tiers, hospital grades, professional titles, and departments (all P<0.05), while no significant difference was noted for decision support demands across hospital grades ( P=0.085). In clinical information screening and acquisition, cardiologists from different city tiers exhibited statistically significant differences in the demand for literature interpretation. Similarly, variations in the demand for conference summaries, expert biographies, healthcare policies, and social news were noted among cardiologists with different professional titles, while disparities in patient education and science popularization needs were identified across city tiers and hospital grades (all P<0.05). In clinical decision-making support, cardiologists from diverse city tiers and professional titles demonstrated distinct differences in guideline and consensus inquiries, and those from various city tiers showed varied demands for pharmaceutical and medical device-related content (all P<0.05). For research support, cardiologists across city tiers and professional titles exhibited statistically significant differences in trial protocol design requirements, while those from varying city tiers differed in literature search/analysis and research application procedures. Additionally, physicians from different hospital grades displayed divergent needs for data collection (all P<0.05). Conclusions:The adoption of LLM is significantly influenced by regional disparities, institutional resources, and professional backgrounds. Implementing targeted interventions, such as enhancing technical training, optimizing LLM functionalities, and improving accessibility across diverse healthcare settings, could encourage widespread integration of LLM into clinical practice. Such measures could ultimately enhance the quality and efficiency of medical services in China and foster innovations in healthcare delivery.

Objective:To analyze the current status and factors influencing clinician participation in remote patient management in China.Methods:In December 2023, a structured electronic questionnaire was administered to 7 980 clinicians, including 930 cardiologists. The survey assessed clinicians′ participation in online doctor-patient interactions; differences in hospital support across city tiers, hospital grades, professional titles, and departments; and factors influencing the willingness of clinicians to invest time in remote patient management.Results:Among the 7 980 surveyed clinicians, online consultations had the highest participation rate (72.2%). Among cardiologists, participation rates for online consultations, health education, and post-consultation management were 73.3%, 66.9%, and 38.5%, respectively, which were relatively higher than those of other specialties. Hospital-based support for physicians in remote patient management showed significant variations across specialties and regions. Among cardiologists, 68.4% received "encouraging" policies, with the majority falling under "encouragement without incentive policies" (42.6%). In tier 3 cities, the proportion of physicians receiving "encouragement without incentive policies" was the highest (47.9%), while the proportion in the "cautious, requiring reporting" category was the lowest (3.9%). During remote patient management, the proportions of clinicians receiving support from professional teams were highest among those in tier 3 cities (29.6%) and cardiologists (30.5%). A significant interaction effect was observed between hospital policy and specialty (cardiologists vs. all clinicians) regarding physicians′ willingness to invest time in remote patient management ( F=5.95, P<0.001). Among cardiologists, those working in institutions with "encouraging, with incentives" policies reported a significantly longer median weekly investment time (10.0 h) compared to those under "neutral, unrestricted" policies (7.0 h, P<0.001). Cardiologists with team support reported a significant increase in the time they were willing to invest (10 h/week) than those without team support (7.0 h/week, P<0.001), although no significant interaction effect was found when compared with all clinicians ( P=0.186). Cardiologists with a high online income (>5 000 Yuan/month) reported a significantly longer weekly investment time in remote management (25.0 h) compared to those with lower income (<200 yuan/month; 8.0 h, P<0.001). However, whether the income met their personal expectations had no significant effect on their time commitment ( P=0.638). Conclusions:Clinicians from tertiary hospitals and tier 3 cities demonstrated a higher level of engagement in remote patient management. Strengthening hospital policy support, enhancing team-based collaborations, and increasing online income levels may help promote the broader adoption of telemedicine.

Objective:To evaluate the changes in cortical electroencephalogram (EEG) burst suppression rate (BSR) during sevoflurane anesthesia in septic mice and the correlation with cerebral blood perfusion.Methods:Forty SPF male C57BL/6J mice, aged 8-10 weeks, weighing 22-25 g, were divided into 2 groups ( n=20 each) by the random number table method: sham operation group (Sham group) and cecal ligation perforation group (CLP group). The sepsis model was established by cecal ligation and puncture in anesthetized animals. Mice in both groups inhaled 2% sevoflurane for 2 h. During sevoflurane anesthesia, BSR (30 min as an epoch) on electroencephalogram was recorded, and the cortical cerebral blood perfusion was recorded using the laser speckle flow imaging at 30, 60, 90 and 120 min of anesthesia. Results:Compared with Sham group, the cortical EEG BSR was significantly increased, and the cortical cerebral blood perfusion was decreased during sevoflurane anesthesia in CLP group ( P<0.05). Cortical EEG BSR was negatively correlated with cortical cerebral blood perfusion ( P<0.05). Conclusions:Cortical EEG BSR increases during sevoflurane anesthesia in septic mice, which may be related to decreased cortical cerebral blood perfusion.

Objective:To investigate the current awareness of large language models (LLM) among Chinese clinical physicians and analyze the application needs of cardiovascular specialists.Methods:This is a cross-sectional study utilized convenience sampling. In December 2023, a self-designed questionnaire was distributed to 7 980 clinical physicians, including 930 cardiologists. The survey collected demographic information, including work city (categorized as first-tier, new first-tier, second-tier, third-tier, and fourth-tier and below), hospital level, professional title, and department. And the awareness of LLM, and their application demands in clinical decision-making support, information filtering, and scientific research work were also collected. Differences in awareness and application requirements across geographic regions, hospital tiers, professional ranks, and medical departments were analyzed. Besides, specific demands of cardiovascular specialists were further examined.Results:Among the 7 980 clinical physicians, the awareness rate of LLM was 76.3% (6 088/7 980), and the utilization rate was 11.8% (942/7 980). For the 930 cardiologists, the awareness rate was 78.5% (730/930) and the utilization rate was 11.4% (106/930). Significant differences in awareness and utilization rates were observed across city tiers, hospital grades, and departments (all P<0.05). No significant difference was found among professional titles ( P=0.053). Among the 6 088 physicians aware of LLM, demand rates for clinical information filtering, clinical decision support, and research assistance were 87.3% (5 312/6 088), 78.4% (4 774/6 088), and 75.8% (4 616/6 088), respectively. For the 730 cardiologists aware of LLM, these rates were 91.0% (664/730), 79.2% (578/730), and 75.9% (554/730), respectively. Significant differences in demands for clinical information filtering and research assistance were observed across city tiers, hospital grades, professional titles, and departments (all P<0.05), while no significant difference was noted for decision support demands across hospital grades ( P=0.085). In clinical information screening and acquisition, cardiologists from different city tiers exhibited statistically significant differences in the demand for literature interpretation. Similarly, variations in the demand for conference summaries, expert biographies, healthcare policies, and social news were noted among cardiologists with different professional titles, while disparities in patient education and science popularization needs were identified across city tiers and hospital grades (all P<0.05). In clinical decision-making support, cardiologists from diverse city tiers and professional titles demonstrated distinct differences in guideline and consensus inquiries, and those from various city tiers showed varied demands for pharmaceutical and medical device-related content (all P<0.05). For research support, cardiologists across city tiers and professional titles exhibited statistically significant differences in trial protocol design requirements, while those from varying city tiers differed in literature search/analysis and research application procedures. Additionally, physicians from different hospital grades displayed divergent needs for data collection (all P<0.05). Conclusions:The adoption of LLM is significantly influenced by regional disparities, institutional resources, and professional backgrounds. Implementing targeted interventions, such as enhancing technical training, optimizing LLM functionalities, and improving accessibility across diverse healthcare settings, could encourage widespread integration of LLM into clinical practice. Such measures could ultimately enhance the quality and efficiency of medical services in China and foster innovations in healthcare delivery.

Objective:To analyze the current status and factors influencing clinician participation in remote patient management in China.Methods:In December 2023, a structured electronic questionnaire was administered to 7 980 clinicians, including 930 cardiologists. The survey assessed clinicians′ participation in online doctor-patient interactions; differences in hospital support across city tiers, hospital grades, professional titles, and departments; and factors influencing the willingness of clinicians to invest time in remote patient management.Results:Among the 7 980 surveyed clinicians, online consultations had the highest participation rate (72.2%). Among cardiologists, participation rates for online consultations, health education, and post-consultation management were 73.3%, 66.9%, and 38.5%, respectively, which were relatively higher than those of other specialties. Hospital-based support for physicians in remote patient management showed significant variations across specialties and regions. Among cardiologists, 68.4% received "encouraging" policies, with the majority falling under "encouragement without incentive policies" (42.6%). In tier 3 cities, the proportion of physicians receiving "encouragement without incentive policies" was the highest (47.9%), while the proportion in the "cautious, requiring reporting" category was the lowest (3.9%). During remote patient management, the proportions of clinicians receiving support from professional teams were highest among those in tier 3 cities (29.6%) and cardiologists (30.5%). A significant interaction effect was observed between hospital policy and specialty (cardiologists vs. all clinicians) regarding physicians′ willingness to invest time in remote patient management ( F=5.95, P<0.001). Among cardiologists, those working in institutions with "encouraging, with incentives" policies reported a significantly longer median weekly investment time (10.0 h) compared to those under "neutral, unrestricted" policies (7.0 h, P<0.001). Cardiologists with team support reported a significant increase in the time they were willing to invest (10 h/week) than those without team support (7.0 h/week, P<0.001), although no significant interaction effect was found when compared with all clinicians ( P=0.186). Cardiologists with a high online income (>5 000 Yuan/month) reported a significantly longer weekly investment time in remote management (25.0 h) compared to those with lower income (<200 yuan/month; 8.0 h, P<0.001). However, whether the income met their personal expectations had no significant effect on their time commitment ( P=0.638). Conclusions:Clinicians from tertiary hospitals and tier 3 cities demonstrated a higher level of engagement in remote patient management. Strengthening hospital policy support, enhancing team-based collaborations, and increasing online income levels may help promote the broader adoption of telemedicine.

Myocardial strain is a dimensionless parameter reflecting the degree of deformation of the whole or local myocardium under stress,which can quantitatively detect myocardial injury and guide the early diagnosis,intervention and prognostic assessment of cardiac diseases.Cardiac ultrasound,cardiac CT and cardiac magnetic resonance can all be used for strain imaging and analysis,with two-dimensional speckle-tracking echocardiography being the most widely used means of myocardial strain detection today.However,due to inter-observer variations in manual analysis of myocardial strain and differences in the imaging systems and analysis software,the consistency and reproducibility of measured strain values among vendors are poor,limiting the clinical application of myocardial strain.Artificial intelligence(AI)can overcome the defects of strain measurement to a certain extent through automatic strain calculation and image quality assessment,which has a broad developmental prospect.This review focuses on the progress of AI-assisted measurement of myocardial strain in ultrasound,magnetic resonance,and other imaging modalities,as well as its application to disease diagnosis and patient prognosis assessment.This will improve the efficiency and consistency of strain measurement and promote the routine application of myocardial strain to clinical practice,which will play an incremental role in assessing myocardial injury and cardiac function.However,most of the current studies involve small sample sizes and lack external validation,and the reliability of their results needs to be further verified.

Objective:To explore the measurement method and its diagnostic performance based on MRI and CT measurement of vertebral bone density in patients to predict proximal junctional kyphosis after degenerative scoliosis surgery.Methods:Retrospectively included patients who underwent long-segment fixation and fusion surgery at the Department of Orthopedics, West China Hospital of Sichuan University from January 2010 to December 2020 and had complete preoperative whole-spine X-rays, CT, MRI and other imaging examination results, and were followed up on schedule. 68 cases of adult degenerative scoliosis, 16 male, 52 women, aged 66.87±6.65 years (range, 54-80 years). The patients were measured based on preoperative lumbar spine MRI T 1WI bone quality score (vertebral bone quality score, VBQ) and CT-based Hounsfield (HU) value, and the patients were divided into postoperative proximal junction kyphosis group or non-proximal junction kyphosis group based on the results of postoperative imaging examinations. The age, gender, BMI, comorbidities, lumbar spine VBQ score, L 1 CT HU value and various imaging parameters before and after surgery were compared between the two groups of patients, including pelvic incident, lumbar lordosis, sagittal vertical axis, pelvic tilt, sacral slope, pelvic incidence-lumbar lordosis, T 1 pelvic angle, Upper instrumented vertebrae screw angle, etc. The receiver operating characteristic curve (ROC) was drawn to analyze the diagnostic efficacy, sensitivity and specificity of VBQ score, HU value and their combined indicators. Results:Seventeen cases were included in the PJK group and 51 cases in the non-PJK group. The preoperative VBQ and HU values of the PJK group were 3.10±0.43 and 99.76±16.34 respectively, while those of the non-PJK group were 2.62±0.37 and 115.27±13.46 respectively. The differences were statistically significant ( t=3.896, P<0.001; t=4.482, P<0.001). The area under curve (AUC) of VBQ was 0.773 [95% CI(0.633, 0.914)], the sensitivity and specificity are 82.4% and 70.6% respectively, the AUC of HU value was 0.814 [95% CI(0.680, 0.949)], the sensitivity and specificity are 76.5% and 76.5% respectively. The AUC of the two combined indicators was 0.895 [95% CI(0.795, 0.995)], and the sensitivity and specificity were 94.1% and 82.4% respectively. The maximum Youden index and the critical value were respectively, VBQ value 0.530, 2.895, HU value 0.530, 110.0, the combined index 0.765, 0.734. Conclusion:Both VBQ and L 1 HU value can accurately predict proximal junctional kyphosis after degenerative scoliosis surgery. The accuracy of HU value was slightly higher than that of VBQ value. The diagnosis accuracy of the combined index was the highest.

Objective    To compare clinical effects of enlarged thymectomy for the treatment of myasthenia gravis (MG) complicated with thymoma via subxiphoid and subcostal arch thoracoscopic resection versus median sternotomy resection. Methods    We retrospectively analyzed the clinical data of patients with MG complicated with thymoma admitted in Tangdu Hospital of the Air Force Military Medical University between December 2011 and December 2021. Patients who underwent subxiphoid and subcostal arch thoracoscopic enlarged thymectomy were allocated to a SR group, and patients who underwent median sternotomy enlarged thymectomy were allocated to a MR group. Perioperative outcomes were compared between the two groups. Results    A total of 456 patients were collected. There were 51 patients in the MR group, including 30 males and 21 females aged 23-66 (49.5±11.8) years. There were 405 patients in the SR group, among whom 51 patients were matched to the MR group by propensity score matching, including 28 males and 23 females aged 26-70 (47.2±12.2) years. The operations were accomplished successfully in all patients, and no conversion to thoracotomy occurred in the SR group. The SR group had advantages in the operation time, intraoperative blood loss,  chest drainage duration, hospital stay time, patients’ satisfaction level, pain score and complications (all P<0.05). No statistical difference was found in the number of intraoperative lymph node dissection stations, number of intraoperative lymph nodes dissected or remission of MG between the two groups (P>0.05). Conclusion    Subxiphoid and subcostal arch thoracoscopic enlarged thymectomy and lymphadenectomy is a safe, effective and feasible minimally invasive procedure for the treatment of MG complicated with thymoma.