Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Septic shock is the primary cause of mortality in sepsis, with its core pathophysiological mechanism being severe ischemia and hypoxia in critical units—composed of microcirculation and the mitochondria of functional cells—resulting from disruptions in blood flow and oxygen flow following a dysregulated host response. Due to the systemically convergent yet clinically heterogeneous nature of the host response, current understanding and management strategies for hemodynamics remain inconsistent, often leading to inadequate resuscitation or overtreatment. To improve the quality of care, based on a systematic review of the "blood flow-oxygen flow" theory, an expert panel emphasizes reevaluating septic shock from an integrated perspective of blood flow and oxygen flow, and has formulated the Expert Consensus on Blood Flow and Oxygen Delivery Phenotyping and Clinical Management of Septic Shock (2025). The consensus proposes that clinical typing of blood flow-oxygen flow should comprehensively consider cardiac function, vascular tone, oxygen flow utilization status in critical units, and disease trajectory, while optimizing subtype identification by integrating host response phenotypes and artificial intelligence technologies. It advocates establishing a continuous assessment system through multi-site oxygen flow monitoring for organ perfusion, peripheral perfusion monitoring, and critical care ultrasound. Under the framework of the "critical care triangle", the consensus promotes the implementation of individualized, bundled management strategies, providing guidance for multiple management points to restore blood flow-oxygen flow matching, reduce the risk of organ failure, and decrease patient mortality.

The construction of a harmonious doctor-patient relationship requires both doctors and patients to bear the corresponding moral responsibilities. Patients’ moral responsibilities refer to the duties that patients should take action and bear the corresponding good and bad consequences to restore their physical or mental health， as well as the good qualities that help patients adapt to and integrate into their patient roles and pursue excellence. The logical direction of patients’ moral responsibilities represents the practical vision and value orientation of patients’ moral responsibility research. Healthy bodies are the direct goal of patients’ moral responsibilities， harmonious interpersonal relationships serve as the basic goal， and good lives represent the core goal. The logical direction of patients’ moral responsibilities returns to the human being， focusing on profound care for real patients and ideal construction. Healthy bodies， harmonious interpersonal relationships， and good lives collectively achieve “good patients”， who are the logical direction of patients’ moral responsibilities.

Objective To analyze the occurrence status and risk factors of frailty in elderly patients with heart failure (HF), and improve the prognosis of elderly patients with HF. Methods Totally 306 elderly patients with HF who received treatment in the hospital were selected from April 2021 to April 2024 as the study subjects. The occurrence of frailty was counted, and the patients were divided into frailty group and non-frailty group according to occurrence status of frailty. Univariate and logistic multivariate regression analyses were adopted to analyze the risk factors of frailty in elderly HF patients. Results Among the 306 patients, there were 92 cases of frailty, with an incidence rate of 30.07%. There were obvious differences in age, HF grading, nutritional status, negative emotions, left ventricular ejection fraction, hemoglobin and creatinine between groups (P<0.05). After logistic multivariate analysis, it was found that age≥70 years old, HF grading, malnutrition, negative emotions and creatinine were the high risk factors for frailty in elderly patients with HF, and left ventricular ejection fraction and hemoglobin level were the protective factors (OR: 1.662, 95%CI: 0.845-3.268; OR: 4.586, 95%CI: 2.318-9.071; OR: 3.971, 95%CI: 1.806-8.731; OR: 3.307, 95%CI: 1.457-7.503; OR: 0.456, 95%CI: 0.255-0.816; OR: 0.525, 95%CI: 1.156-0.967, P<0.05). Conclusion The risk of frailty is high in elderly patients with HF, and is affected by age, heart failure grading, nutritional status, negative emotions, left ventricular ejection fraction, hemoglobin and creatinine. Clinically, it is necessary to take prevention and intervention measures for such patients to reduce the occurrence of frailty.

Objective Construction and Practice of a Whole-Process Digitalized Hemodialysis Management System.Methods ① Integrate device data through the Internet of Things(IoT)to enable automatic collection of dialysis parameters and real-time validation of quality control rules.② Build an"intelligent error prevention system"based on Data Analysis,realizing the transformation from patient management to digital quality control management in hemodialysis treatment.③ Implement a closed-loop management system for the entire patient dialysis process.Results The system reduced clinicians' time spent manu-ally filling and verifying documentation by 75％,and increased the adequacy compliance rate for maintenance dialysis patients to 100％per quarter and other goals.Conclusion Traditional hemodialysis management relies on manual records,leading to issues such as fragmented data,delayed quality control,material waste,and high risks of hospital-acquired infections.The entire process,from patient appointment to post-dialysis summary management lacks coordination,and manual calculation of key indica-tors is prone to errors,with insufficient timeliness in quality surveillance warnings.The construction of an information system can break down operational silos and enable"data-driven decision-making",and provides a replicable model for the digital manage-ment of hemodialysis.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

Objective:To investigate the association between estimated cumulative low-density lipoprotein cholesterol (LDL-C) exposure and the severity of coronary artery disease and long-term adverse cardiovascular and cerebrovascular events (MACCE) in patients with acute coronary syndrome (ACS).Methods:The subjects were from the PROMISE study. This study was a prospective cohort study led by Fuwai Hospital, Chinese Academy of Medical Sciences, with participation from eight regional tertiary hospitals as sub-centers, and enrolled 18 701 patients with confirmed coronary heart disease between January 2015 and May 2019. Among them, 8 429 patients with ACS were included in this study. The estimated cumulative LDL-C exposure was calculated by multiplying LDL-C by age. Participants were then divided into four groups based on quartiles. Baseline data and coronary angiography data were collected, and participants were followed for 2 years. The primary endpoint was MACCE, which was composed of all-cause death, cardiac death, myocardial infarction, revascularization, and stroke. Spearman correlation analysis was used to estimate the correlation between cumulative LDL-C exposure and the severity of coronary artery disease. The differences in MACCE among the four groups were compared, and multivariate Cox regression was used to divide the estimated cumulative exposure LDL-C into two groups, three groups, and four groups to analyze its relationship with MACCE.Results:The 8 429 ACS patients included in the study had an age of (60.9±11.4) years, with 1 951(23.1%) females. Spearman correlation analysis revealed that estimated cumulative LDL-C exposure was positively associated with the preoperative SYNTAX score, three-vessel lesions disease, left main disease, and the number of target lesions (correlation coefficients r=0.14, 0.10, 0.04 and 0.03, respectively, with all P<0.05). The 2-year follow-up results indicated that the incidence rates of MACCE, all-cause death, cardiac death, myocardial infarction, and stroke in ACS patients grouped by different levels of estimated cumulative LDL-C exposure were statistically significant (all P<0.05). The results of the Cox multivariate regression analysis showed that when the estimated cumulative LDL-C exposure was treated as a continuous variable and analyzed in two, three, and four groups, with the lowest group as the reference, the risk of MACCE occurrence in the high-value group increased by 21% (95% CI 1.08-1.37, P=0.002), 24% (95% CI 1.07-1.43, P=0.004), and 21% (95% CI 1.02-1.43, P=0.025) respectively. Conclusions:A positive correlation was found between estimated cumulative LDL-C exposure and severity of coronary artery disease. High estimated cumulative LDL-C exposure level is a risk factor for MACCE in ACS patients within 2 years.

Objective:To analyze differences in the expression of routine laboratory parameters and cerebrospinal fluid (CSF) examination indicators between patients with non-neurosyphilis (syphilis without nervous system involvement) and those with neurosyphilis, to screen for key predictive factors, and to construct a predictive model for neurosyphilis.Methods:A retrospective analysis was conducted on the clinical data from patients with syphilis at the Fifth People's Hospital of Suzhou from 2019 to 2024. Patients with neurosyphilis and non-neurosyphilis who were hospitalized from November 2019 to June 2022 were included in the model cohort, and those hospitalized from January 2024 to October 2024 were included in the validation cohort. The patients' basic information and laboratory test indicators (including routine blood tests, CSF biochemical analysis, and syphilitic antibody tests) were collected. Statistical analysis was performed using the GraphPad software. The receiver operating characteristic (ROC) curve and the binary logistic regression method were used to analyze the predictive performance of key indicators in patients from the model cohort with SPSS software, and a predictive model for neurosyphilis was constructed. The performance of the neurosyphilis predictive model for neurosyphilis was validated based on relevant indicators from the validation cohort.Results:The model cohort included 99 patients with non-neurosyphilis (including 49 males and 50 females), and they were aged between 19 and 85 years, with an average age of 47 years; 69 patients with neurosyphilis were also included in the model cohort, including 58 males and 11 females, and they were aged between 26 and 73 years, with an average age of 51 years. The neurosyphilis group showed a significant increase in the median levels of CSF adenosine deaminase (1 U/L) and microprotein (711 mg/L), white blood cell counts (0.009 × 10?/L), as well as in the proportion of positive Pandy tests (35/69, 50.7%) compared with the non-neurosyphilis group (0 U/L, 309 mg/L, 0.002 × 10?/L, 2 /99 [2.0%], respectively, all P < 0.001). Based on the ROC curve analysis, the CSF microprotein and white blood cell count had relatively high discriminative ability (area under the ROC curve [AUC] > 0.85), while adenosine deaminase and the Pandy test showed moderate discriminative ability (0.7 < AUC < 0.85). According to the above four indicators, the logistic regression analysis showed that CSF microprotein combined with CSF white blood cell counts could construct the best predictive model for neurosyphilis, with a prediction accuracy rate of 0.980, a sensitivity of 98.5%, and a specificity of 89.9%. The prediction formula was logit (p) = -9.926 + 0.015 × microprotein + 362.33 × CSF white blood cell count, with a cutoff value of ≥ -0.867. The validation cohort enrolled 72 patients with non-neurosyphilis and 51 with neurosyphilis, and there were significant differences in CSF microprotein levels and white blood cell counts between the two groups (both P < 0.001). In the validation cohort, the predictive model demonstrated an accuracy of 86.2%, with a sensitivity of 83.6% and a specificity of 91.1% for predicting neurosyphilis. Conclusion:The predictive model for neurosyphilis constructed by combining CSF microprotein and CSF white blood cell count may contribute to the early differential diagnosis of neurosyphilis.

Objective To investigate the potential categories of nutrition literacy in young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity,and analyze the relationship between various latent categories and dietary motivation,so as to provide references for clinical working staff to develop relevant dietary intervention strategies.Methods A convenient sampling method was used to enroll 270 young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity from the endocrine department of a tertiary general hospital in Zhenjiang City,Jiangsu province,using basic information questionnaire,Nutrition Literacy Measurement Scale for Chinese adults,and the Regulation of Eating Behaviors Scale to collect data,using latent profile analysis to extract nutrition literacy potential categories,with general data and potential categories as independent variables,dietary motivation as the dependent variable for univariate analysis and multiple linear regression analysis.Results A total of 262 young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity completed the survey,and their nutrition literacy could be divided into 3 potential categories:low nutrition literacy group(16.41％),transformation dilemma group(54.96％),and middle and high nutrition literacy group(28.63％).The results of multiple linear regression analysis showed that residency style,potential categories of nutrition literacy and presence of diabetic complications were the influencing factors of dietary motivation in young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity(P＜0.05).Conclusion There was a group heterogeneity in nutrition literacy in young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity.Clinical working staff should provide targeted interventions based on the patient's potential categories of nutrition literacy to stimulate ongoing motivation to maintain a healthy diet.