Abstract To understand the relationship between cardiovascular disease (CVD) and adverse childhood experiences (ACEs), the present review aims to describe the burden and influencing factors of CVD, epidemiological characteristics and burden of ACEs, current research on the relationship between ACEs and CVD, and the mechanism of ACEs leading to CVD. It is proposed that further assessment of the relationship is warranted through identifying blood biomarkers, conducting prospective cohort studies and intervention studies. Such efforts would provide valuable scientific insights for primary prevention strategies for cardiovascular disease.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Objective To establish a scientific and systematic quality evaluation system for the implementation of TCM nursing programs,and to provide references for promoting the standardized implementation and quality improvement of TCM nursing programs.Methods From October 2023 to December 2023,a research team was set up to form the first draft of the quality evaluation system for the implementation of TCM nursing programs based on the"structure-process-results"three-dimensional quality model,by combining literature research and focus group interviews,and the quality evaluation system for the implementation of TCM nursing programs was formulated by means of Delphi expert letter consultation and analytic hierarchy process.Results 2 rounds of professional consultations resulted in an excellent recovery rate of 100％;the expert authority coefficients were 0.853 and 0.958;the Kendall harmony coefficients of expert opinions were 0.151 and 0.152,respectively.Finally,the quality evaluation system of TCM nursing program implementation was determined,including 3 first-level indicators,including structure,process and result.There are 6 secondary indicators,including system management,implementation management,quality management,effect evaluation,safety evaluation,and satisfaction evaluation.There are 18 three-level indicators,including the implementation management system of TCM nursing program and regular optimization of TCM nursing program.Conclusion The quality evaluation system for the implementation of TCM nursing programs is scientific and reliable,but its practicability needs to be tested in clinical practice.

Clinical decision support system is a system that utilizes models or knowledge bases to assist clinical decision-making through human-computer interaction for semi-structured or unstructured clinical problems, with the aim of reducing decision-making errors among medical staff and improving the quality of medical and nursing services. In recent years, clinical decision support system has attracted wide attention in the field of clinical nursing of Traditional Chinese Medicine. This paper will review the development status, application advantages and existing problems of clinical decision support system in the field of clinical nursing of Traditional Chinese Medicine, aiming to provide reference for the development of a more specialized and systematic clinical decision support system for clinical nursing of Traditional Chinese Medicine.

Objective To evaluate the value of intrathecal synthetic related markers in patients with mild cognitive impairment(MCI),Alzheimer's disease(AD),and other types of dementia.Methods Retrospec-tively collect the clinical data of 577 patients diagnosed with MCI(MCI group,178 cases),AD(AD group,131 cases),and other types of dementia(other types group,268 cases)from June 2019 to July 2023 in Beijing Tiantan Hospital,Capital Medical University.Oligoclonal zone electrophoresis(OCB)and 24 h intrathecal pro-tein synthesis rate(ISR)of each group were investigated,and the difference of different indexes among the groups was compared to evaluate the value of related indexes in the differential diagnosis of different diseases.Results Compared with AD group and other groups,AD group had a higher proportion of females,more patients were＞50-70 years old,and the incidence of abnormal lipid metabolism was higher,with statistical significance(P＜0.05).There were significant differences in OB(S),cerebrospinal fluid albumin,serum albumin and cerebrospinal flu-id IgG in different disease groups(P＜0.05).IgG index and ISR in patients with positive SOB(CSF)were higher than those in negative and weakly positive patients,and the differences were statistically significant(P＜0.001).IgG index was positively correlated with ISR(r=0.878,P＜0.001).Conclusion Intrathecal synthetic mark-ers such as IgG index,SOB(CSF)and 24 h ISR have synergistic effects in the diagnosis of cognitive dysfunction and various dementias,which can be collectively utilized in the diagnosis of diseases.

Objective To analyze the distribution characteristics and application value of liver,renal func-tion indexes and autoantibody-related indexes of neuromyelitis optica spectrum disorder(NMOSD).Methods The liver,renal function and autoantibody-related indexes data of patients diagnosed with NMOSD and multiple sclerosis(MS)in Beijing Tiantan Hospita,Capital Medical University from June 2015 to June 2023,as well as gender and age-matched controls underwent routine physical examination were retrospectively collected.A total of 95 patients with NMOSD(NMOSD group),230 patients with MS(MS group),and 244 healthy controls(routine physical examination group)were selected to evaluate the diagnostic value of each index for NMOSD.Results Compared with MS group,the levels of alanine aminotransferase,as well as the positive rates of α-hydroxybutyrate dehydrogenase,y-glutamyltransferase,anti-SS-A antibody,anti-SS-B anti-body,anti-ribosomal P protein antibody and Ro-52 antibody were significantly increased in NMOSD group,while the levels of albumin,indirect bilirubin and total bilirubin were significantly decreased,and the differ-ences were statistically significant(P＜0.05).The difference index between NMOSD and conventional physi-cal examination group was similar to that of MS group.The seven indexes,a-hydroxybutyrate dehydrogenase,albumin,globulin,direct bilirubin,indirect bilirubin,total bile acid and uric acid alkalinity could be used for the diagnosis of NMOSD.The area under the curve of combined diagnosis of NMOSD was 0.969,and the sensitiv-ity and specificity were 92.6％and 92.9％.Conclusion Multiple indexes of liver and kidney function in NMOSD patients are different from those in MS patients and healthy subjects underwent routine physical ex-amination,and the positive rate of some autoantibody indexes in NMOSD patients is higher than that in MS patients.Liver,renal function and autoantibody-related indexes can be used clinically to assist diagnosis,and the combined application of multiple indexes can further enhance its diagnostic value.

Unlike chemosynthetic drugs designed for specific molecular and disease targets,active small-molecule natural products typically have a wide range of bioactivities and multiple targets,necessitating extensive screening and development.To address this issue,we propose a strategy for the direct in situ micro-dynamic examination of potential drug candidates to rapidly identify their effects and mechanisms of action.As a proof-of-concept,we investigated the behavior of mussel oligosaccharide(MOS-1)by tracking the subcellular dynamics of fluorescently labeled MOS-1 in cultured cells.We recorded the entire dynamic process of the localization of fluorescein isothiocyanate(FITC)-MOS-1 to the lysosomes and visualized the distribution of the drug within the cell.Remarkably,lysosomes containing FITC-MOS-1 actively recruited lipid droplets,leading to fusion events and increased cellular lipid consumption.These drug behaviors confirmed MOS-1 is a candidate for the treatment of lipid-related diseases.Furthermore,in a high-fat HepG2 cell model and in high-fat diet-fed apolipoprotein E(ApoE)-/-mice,MOS-1 significantly promoted triglyceride degradation,reduced lipid droplet accumulation,lowered serum triglyceride levels,and mitigated liver damage and steatosis.Overall,our work supports the prioritization of in situ visual monitoring of drug location and distribution in subcellular compartments during the drug development phase,as this methodology contributes to the rapid identification of drug indications.Collectively,this methodology is significant for the screening and development of selective small-molecule drugs,and is expected to expedite the identification of candidate molecules with me-dicinal effects.

Acupuncture and Tuina are the main non-drug therapies for low back pain, which are recommended by the guidelines. Acupuncture and Tuina can alleviate pain, which is regarded as conditional specific outcome, and improve mental, emotional problems, as non-conditional specific outcomes. There are some problems of the outcome assessment of acupuncture and Tuina treatment for pain such as insufficient evaluation of specific effect and unclear evaluation of characteristic outcome. Therefore, the key to above problems is to construct a Specific ouTcomE Assessment Modal of acupuncture and Tuina treatment for pain (STEAM-A&T) based on the qualitive and quantitative methods. By describing the experience, narrative expression, feelings and needs of patients who receiving acupuncture and Tuina treatment, the item banks of acupuncture and Tuina treatment effect are constructed, and the characteristic outcome of acupuncture and Tuina for pain will be screened, and then the relationship model among outcomes is constructed and optimized, which reflected the characteristics of acupuncture and Tuina for pain from multiple dimensions, multiple levels and multiple views. We reveal the relationship between the outcome of acupuncture and Tuina for pain. It will provide a new theory and methods for the construction of specific outcome assessment modal of Traditional Chinese Medicine.