OBJECTIVE: Myocardial inflammation during myocardial infarction (MI) could be inhibited by regulating arachidonic acid (AA) metabolism. Recent studies demonstrated that Sini Decoction (SND) was identified to be an effective prescription for treating heart failure (HF) caused by MI. But the anti-inflammatory mechanism of SND remained unclear. The work was designed to investigate the anti-inflammatory mechanism of SND through the AA metabolism pathway in vitro and in vivo experiments. METHODS: An inflammatory injury model of H9c2 cells was established by lipopolysaccharide (LPS)-stimulated macrophage-conditioned medium (CM). The MI model was built by the ligation of left anterior descending (LAD) branch of coronary artery in rat. Meanwhile, the rats were divided into five groups: sham group, MI group, MI + Celecoxib group, MI + low-dose SND group (SND-L) and MI + high-dose SND group (SND-H). Cardiac function, histopathological changes and serum cytokines were examined four weeks later. Western blot analysis was conducted to verify the key enzymes levels in the AA metabolic pathway, including phospholipase A2 (PLA2), cyclooxygenases (COXs) and lipoxygenases (LOXs). RESULTS: These in vivo results demonstrated that SND could improve the cardiac function and pathological changes of rats with MI, and regulate the key inflammatory molecules in the AA metabolism pathway, including sPLA2, COX-1, COX-2, 5-LOX and 15-LOX. In vitro, SND could decrease the release of pro-inflammatory cytokines including TNF-α and IL-6 and inhibit cell apoptosis in CM-induced H9c2 cells. Moreover, SND could protect H9c2 cells from the damage of CM by regulating nuclear factor kappa-B (NF-κB) signal pathway and the expression of COX-2. CONCLUSION SND may be a drug candidate for anti-inflammatory treatment during MI by regulating the multiple targets in the AA metabolism pathway.

Objective To explore the the correlation between cystatin C(Cys C),beta-2 microglobulin(β2-MG)and ischemic cerebral small vessel disease(CSVD)and its subgroups.Methods Totally 234 patients with CSVD were assigned to the study group,and 92 elderly people with no abnormal findings in head MRI were selected as controls.The CSVD patients were further divided into the subgroups of lacunar infarction(LI),white matter lesion(WML)and LI+WML.Each group was compared risk factors include the blood level of Cys C and β2-MG.Results There were statistically significant differences between CSVD group and control group in cystatin C(Cys C)and β2-MG(P<0.05).Cystatin C(Cys C)and β2-MG there were statistically significant differences between WML group and control group(P<0.05),and also between WML+LI group and control group(P<0.05).Logistic regression analysis and comparison across subgroups showed Cys C and β2-MG to be the common risk factors for WML group and WML+LI group inpatients with ischemic cerebral small vessel disease.Conclusion Cys C and β2-MG are the common risk factors for WML group and WML+LI group inpatients with ischemic cerebral small vessel disease.The risk factors vary across different CSVD subgroups.

Objective:To explore the relationship between risk perception and health promoting lifestyle profile in population with cardiovascular disease (CVD), and construct a prediction model for clinical screening and targeted intervention.Methods:A cross-sectional survey method was used to select 272 people at moderate and high risk of CVD from the Second Affiliated Hospital of Zhejiang University School of Medicine from March to August 2022. The general information questionnaire, Chinese version of Attitude and Beliefs about Cardiovascular Disease Knowledge and Risk Questionnaire (ABCD-C), and Health Promoting Lifestyle Profile-II (HPLP Ⅱ) were used. Based on multiple regression analysis, a nomogram model for health promoting lifestyle in high-risk CVD population was constructed.Results:Among 272 participants, male 150 cases, female 122 cases, aged (60.58 ± 10.64) years old. The total ABCD-C score was (56.57 ± 5.69), and the total HPLP Ⅱ score was (111.92 ± 12.47). ABCD-C score was significantly positively correlated with HPLP Ⅱ score ( r=0.556, P<0.01). The median of HPLP Ⅱ total score (111 points) was used as the cut-off point for low level of health-promoting lifestyle (≤111 points) and high level of health-promoting lifestyle (>111 points), and used it as the dependent variable, smoking ( OR=0.215, 95% CI 0.104-0.446) was a barrier factor for participants to adopt healthy lifestyle; being married ( OR=14.237, 95% CI 1.963-103.238), having a family average monthly income higher than 5 000 yuan ( OR=4.101, 95% CI 1.369-12.288), higher score of CVD prevention knowledge ( OR=1.660, 95% CI 1.373-2.007), perceived benefits and intention to change physical activity ( OR=1.445, 95% CI 1.255-1.663), perceived benefits and intention to change healthy diet ( OR=1.322, 95% CI 1.058-1.654) were promoting factors. Conclusions:The health-promoting lifestyle of populations at risk for CVD is above-average, influenced by factors such as smoking, marital and economic status, risk attitudes, and beliefs. Utilizing the nomogram model for early screening and targeted risk communication among key populations may contribute to improving their health behavior.

Objective To study the effect of fine particulate matter(particulate matter 2.5,PM2.5)exposure on hepatic lymphangiogenesis in C57BL/6J mice and metabolic-associated fatty liver disease(MAFLD)model mice,and to provide a novel target for prevention and treatment of PM2.5-induced liver injury.Methods Forty male C57BL/6J mice were randomly divided into a control group,PM2.5 group,MAFLD group,and PM2.5-MAFLD group.Mice in the MAFLD and PM2.5-MAFLD groups were fed high-fat diet for 12 weeks,and mice in the other groups were fed normal chow diet.From weeks 13 to 16,mice in the PM2.5 and PM2.5-MAFLD groups were exposed to PM2.5 by tracheal instillation(twice per week),and mice in the other groups were instilled with saline at the same time.All animals were euthanized 24 h after the last PM2.5 instillation.Serum alanine aminotransferase(ALT)and aspartate aminotransferase(AST)were measured,and the expression of LYVE1 in liver tissues was visualized using immunofluorescence staining.Hepatic oxidative stress markers levels(4-HNE and GSH/GSSG)were measured.The protein expression levels of lymphangiogenesis markers(PROX1 and LYVE1),lymphangiogenesis regulatory protein VEGF-C,and the lymphatic junctional function marker VE-cadherin in liver tissue were determined using Western Blot.Results PM2.5 exposure significantly increased the levels of serum AST and ALT,markedly decreased the protein expression of PROX1 and LYVE1,increased the protein expression of VEGF-C and VE-cadherin in the liver,increased the level of 4-HNE,and decreased the T-GSH/GSSG ratio in livers of mice in the MAFLD group(P＜0.05).However,PM2.5 exposure did not affect the levels of serum AST and ALT,protein expression of PROX1,LYVE1,or VEGF-C;level of 4-HNE;or T-GSH/GSSG ratio in the livers of the C57BL/6J mice(P＞0.05).Conclusions PM2.5 exposure obviously aggravated hepatic oxidative injury and reduced hepatic lymphangiogenesis by reducing the VEGF-C concentration in the livers of MAFLD model mice.

Objective To construct and validate a risk prediction model for enteral nutrition feeding intolerance (FI) in patients with severe cerebral hemorrhage based on machine learning algorithms. Methods The clinical data of 485 patients with cerebral hemorrhage admitted to the neurological intensive care unit of Northern Jiangsu People's Hospital Affiliated to Yangzhou University from January 2020 to December 2022 were retrospectively analyzed. The patients were randomly divided into training set (n=339) and validation set (n=146) in a 7 to 3 ratio. Five machine learning algorithms were used to construct FI risk prediction models. The receiver operating characteristic (ROC) curve was plotted, and the model with the best predictive performance was selected based on the area under the curve (AUC). A nomogram model was constructed based on the optimal model. The calibration curve and decision curve analysis (DCA) were used to evaluate the calibration and clinical net benefit of the nomogram model. Results The incidence of enteral nutrition FI in patients with severe cerebral hemorrhage was 38.4%(186/485). Among the five machine learning algorithm models, the Logistic regression model had the best predictive performance(AUC=0.88). The analysis results of the Logistic regression model showed that the use of diuretics, mechanical ventilation, Glasgow Coma Scale score ≤5, vasoactive drugs, and albumin level<35 g/L were risk factors for enteral nutrition FI in patients with severe cerebral hemorrhage. A nomogram model was further constructed based on these five risk factors. The calibration curve analysis showed that the calibration curve fitted well with the ideal curve, indicating a high calibration degree of the nomogram model. The DCA results showed that when the threshold probability was 5% to 73%, the application of the nomogram model for screening could clinically benefit patients. Conclusion The construction of a nomogram model for predicting the risk of enteral nutrition FI in patients with severe cerebral hemorrhage based on machine learning methods can help to early screen high-risk patients for enteral nutrition FI and timely formulate preventive measures, thereby reducing the incidence of enteral nutrition FI in patients with severe cerebral hemorrhage.

Humans ; COVID-19/genetics* ; SARS-CoV-2/genetics* ; Clustered Regularly Interspaced Short Palindromic Repeats/genetics* ; CRISPR-Cas Systems/genetics* ; RNA, Viral/genetics*

Objective : To study the best machine learning method for early prediction of hematoma expansion in hypertensive intracerebral hemorrhage based on head CT plain scan. Methods : The CT images of 130 patients with cerebral hemorrhage were retrospectively analyzed , and the texture features of the head CT plain scan were extracted. The classifier was trained by selecting the features , and the six classic machine learning methods were crossvalidated to evaluate the stability and performanceof predicting cerebral hemorrhage hematoma expansion. Results: The prediction performance of support vector machine (SVM⁃Radial) (AUC 0. 714 ± 0. 144 , accuracy 0. 723 ± 0. 109) , generalized linear model ( GLM) prediction performance ( AUC 0. 643 ± 0. 125 , accuracy 0. 587 ± 0. 136) , random forest (RF) prediction performance (AUC 0. 686 ± 0. 128 , accuracy 0. 680 ± 0. 130) , k ⁃nearest neighbor (kNN) prediction performance ( AUC 0. 657 ± 7C 15 , accuracy 0. 639 ± 39 performance 19) , gradient boosting tree algorithm (GBM) Prediction performance ( AUC 0. 718 ± 0. 141 , accuracy 0. 670 ± 0. 126) , neural network (NNet) prediction performance (AUC 0. 659 ± 0. 162 , accuracy 0. 680 ± 0. 130) , in which support vector machines showed high prediction performance , generalized linear model showed low predictive performance. Conclusion Among the six machine learning methods based on cranial CT radiomics to predict early hematoma expansion in hypertensive intracerebral hemorrhage , support vector machine (SVM⁃Radial) has the best predictive performance and has potential clinical application value.

Objective:To confirm items included in a tool for assessing clinical outcomes based on International Classification of Functioning, Disability and Health (ICF) Rehabilitation Set.Methods:The item pool was established based on the ICF Rehabilitation Set. Then 15 experts were invited to participate in three rounds of expert Delphi consensus-building to choose items with high importance in assessing clinical outcomes. The reliability of the tool was examined by analyzing the experts′ positive coefficients, authority coefficients and degree of agreement.Results:The assessment tool which emerged from the three rounds comprised 17 items, including 8 Body Functions items (b130 Energy and drive functions, b134 Sleep functions, b152 Emotional functions, b280 Sensation of pain, b455 Exercise tolerance functions, b620 Urination functions, b710 Mobility of joint functions and b730 Muscle power functions), d230 Carrying out daily routine from General Tasks and Demands, 3 Mobility items (d410 Changing basic body position, d450 Walking and d465 Moving around using equipment), 4 Self-care items (d510 Washing oneself, d530 Toileting, d540 Dressing and d550 Eating) and 1 item of Interpersonal Interactions and Relationships (d710 Basic interpersonal interactions). All had 100% positive coefficients after the three rounds, with an authority coefficient of 0.81 and coefficients of variation between 0.054 and 0.412.Conclusion:The assessment tool constructed in this study provides a new direction for quality control in clinical practice and medical insurance assessments.

Objective:To evaluate the inpatient PE incidence and thromboprophylaxis after thoracic surgery according to adjusted Caprini VTE risk assessment model.Methods:The study selected consecutively 500 patients who received thoracic surgery from first of June in consecutive three years of 2015, 2016 and 2017. We retrospectively assessed these 1 500 patients using Caprini VTE risk model and recorded baseline characteristics, postoperative prophylaxis, and PE incidence.Results:Only 19.4% of 2015-year patients received pharmacologic prophylaxis, while the rate reached up to 65.2% in 2016 and 77.2% in 2017. PE occurred on 4 cases in 2015, 1 case in 2016, and 0 case in 2017. The overall incidence of PE was 0.3%(5/1 500). The PE incidence negatively correlated with the implementation of prophylaxis( r=-0.04, P=0.07). The PE risk(odds ratio) increased 4.68 times(95% CI: 0.525-41.800) when patients did not receive prophylaxis in PE cohort. Postoperative pharmacologic prophylaxis with current dosing did not affect the drainage of chest tube after surgery. Conclusion:Implementation of an adjusted Caprini risk assessment protocol can be useful for the thoracic postoperative patients to receive appropriate thromboprophylaxis. Current pharmacologic prophylaxis protocol should be safe and enough to prevent PE after thoracic surgery.

The incidence rate of nonalcoholic fatty liver disease (NAFLD) has been increasing year by year in China, and NAFLD has become one of the common chronic diseases that affect the health of Chinese residents.This article introduces the role of lifestyle intervention,reviews the types of drugs used in the treatment of NAFLD and their value,summarizes the methods and approaches for improving intestinal flora,and analyzes the clinical and economic benefits of surgical intervention in the treatment of NAFLD.It is pointed out that strengthening the effective management of patients with NAFLD may be a new research direction in the future for the treatment of this disease.