Energy metabolism reconstruction is the new target of the treatment of heart failure. By combing the researches of Chinese medicinals for energy metabolism reconstruction of heart failure， it was found that Chinese medicinal compound formula and single Chinese medicinal have a certain role in regulating energy metabolism， mainly through three aspects， including the optimization of substrate utilization， improvement of mitochondrial structure， function， and homeostasis， and improvement of mitochondrial energy transport， so as to make the energy metabolism of the cardiomyocyte adjusted in the direction of beneficial to the organism， increasing the supply of energy， and improving the cardiac function.

Abstract The application of artificial intelligence (AI) technology in the field of mental health is becoming increasingly extensive and in depth. As digital natives, children and adolescents are experiencing a significant shift in the prevention, identification, and intervention of their mental health issues:transitioning from traditional models to intelligent and digital approaches. At present, the mental health status of children and adolescents in China is not optimistic, with emotional disorders such as depression and anxiety showing a trend toward younger onset. However, the traditional mental health service model faces multiple challenges, including a shortage of professionals, low service accessibility, and difficulties in early identification. The study systematically reviews the current application status of AI technology in the mental health field of children and adolescents, including the latest progress in screening, assessment, intervention, and treatment; deeply analyzes the key challenges currently faced; and proposes suggestions for promoting the deep integration of AI technology and mental health services for children and adolescents, providing theoretical support and practical guidance for the intelligent, precise, and inclusive development of mental health services.

Objective To analyze the characteristics of real-world adverse drug events(ADEs)of trabectedin based on the FDA Adverse Event Reporting System(FAERS)database in order to provide references for clinical drug safety management.Methods A total of 1 349 trabectedin-related reports were extracted from the FAERS database from Q1 2007 to Q4 2024.Using the MedDRA coding classification system for system organ class(SOC)and preferred term(PT),signal detection was performed through 4 proportional imbalance methods,including reporting odds ratio(ROR)and proportional reporting ratio(PRR).Subgroup analyses by gender,age,and temporal trends were also conducted.Results Hematological and lymphatic system disorders and hepatobiliary system disorders were the primary SOCs involved.High-frequency PTs included neutropenia(123 cases)and anemia(117 cases).Eight potential ADEs that have not been listed in the drug product instruction were identified.The median onset time of ADEs was 21 d,showing an early failure pattern,with differences observed by gender(females more prone to hematological toxicity)and age(elderly more susceptible to febrile neutropenia).Conclusion Trabectedin requires close attention to hematological toxicity,hepatotoxicity,and newly identified multi-system potential risks.Clinically,monitoring should be strengthened based on time windows and population characteristics to optimize drug regimens.Countermeasure It is recommended to strengthen the full cycle monitoring of anti-tumor drugs,standardize the reporting of adverse reactions,and establish a multi-departmental collaborative research platform.

BackgroundAttention deficit hyperactivity disorder （ADHD） is a neurodevelopmental disorder characterized by age-inappropriate inattention， excessive activities incongruous with setting， and emotional impulsivity. Subthreshold ADHD （sADHD） is clinically defined as the presence of ADHD symptoms that do not meet the full diagnostic criteria for ADHD. Children with sADHD exhibit deficits in executive function， demonstrate more conduct， learning， and anxiety-related problems compared to typically developing children， and show even poorer working memory performance than children diagnosed with ADHD. Currently， there is limited epidemiological research on sADHD in China， with few studies simultaneously investigating the prevalence of both ADHD and sADHD in children. ObjectiveTo investigate the prevalence of ADHD and sADHD among children aged 6–13 years in Chongqing， analyzing their distribution characteristics within this population， with the aim of providing references for developing preventive measures against both ADHD and sADHD. MethodsFrom October to November 2023， a total of 3 398 students in grades 1–6 from six primary schools in Jiangbei District， Chongqing were selected using a stratified cluster random sampling method. The occurrence of ADHD and sADHD was evaluated by using the short version （18-item version） of the Swanson， Nolan， and Pelham IV rating scales （SNAP-IV） and the Chinese vision of Schedule for Affective Disorder and Schizophrenia for School-aged Children-Present and Lifetime Version （K-SADS-PL）. ResultsThe ADHD detection rate among children in Chongqing was 1.90% （95% CI： 0.014–0.024）. Boys showed a significantly higher ADHD detection rate than girls （χ²=7.733， P=0.005）. No statistically significant differences were found in ADHD detection rates across different grades or age groups （χ²=7.347， 12.362， P>0.05）. The sADHD detection rate was 6.32% （95% CI： 0.054–0.072）. Similarly， boys exhibited significantly higher sADHD detection rates than girls （χ²=21.005， P<0.01）. Significant differences emerged across different grades （χ²=20.559， P=0.001）， while no statistically significant difference was observed in age groups （χ²=12.070， P=0.060）. ConclusionThe ADHD detection rates were comparable across all grade levels and age groups from 6–13 years old. Second-grade children demonstrated notably higher sADHD rates compared to other grades， while boys demonstrated higher prevalence rates than girls for both ADHD and sADHD. ［Funded by Science and Health Joint Medical Research Project in Jiangbei District， Chongqing City in the Second Half of 2023 （number， 2023JBKWLH022）］

Objective This study aims to examine the potential mechanism of Shenfu Yixin Granules on heart failure(HF)based on network pharmacology,molecular docking,and experimental verification.Methods(1)The active components of herbs in Shenfu Yixin Granules were screened and retrieved through the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP).PubChem database and Swiss Target Prediction platform were used to predict targets.GeneCards and OMIM databases were used to screen HF-related targets.The intersection of active ingredient targets of Shenfu Yixin Granules and HF-related targets was performed by using Venny 2.1.0 platform to obtain common targets,which were the potential targets for anti-HF effect of Shenfu Yixin Granules.The potential targets were imported into the STRING database to construct a protein-protein interaction(PPI)network and screen the core targets of Shenfu Yixin Granules for the treatment of HF.GO functional and KEGG pathway enrichment analysis of potential targets were carried out by using DAVID database.AutoDock Vina software was used for molecular docking validation of key active ingredients and core targets.(2)SD rats were randomly allocated into sham operation group,model group,Shenfu Yixin Granules(5.28 g·kg-1)group,and positive control group(sacubitril-valsartan,20.8 mg·kg-1),with eight rats in each group.A rat model of HF after myocardial infarction was established by ligating the left anterior descending coronary artery.The rats were subsequently administered orally with the corresponding drugs once daily for a period of four weeks.Cardiac function including left ventricular ejection fraction(LVEF)and left ventricular fraction shortening(LVFS)in rats was assessed by echocardiography.Additionally,the histopathological alterations in rat heart tissue were examined using hematoxylin-eosin(HE)staining and Masson staining.The serum levels of brain natriuretic peptide(BNP),artial natriuretic peptide(ANP),and aldosterone(ALD)were determined by enzyme-linked immunosorbent assay(ELISA).Furthermore,real-time quantitative PCR and Western Blot were employed to detect mRNA and protein expressions of CAV1、F2 and MAPK1 in heart tissue.Results(1)A total of 210 active ingredients and 1 196 targets of Shenfu Yixin Granules,as well as 801 HF-related targets were obtained.Venny 2.1.0 platform was used to acquire 97 potential targets(common targets)of Shenfu Yixin Granules for the treatment of HF.Key active ingredients,such as quercetin,luteolin,arachidonic acid,kaempferol,and tanshinaldehyde were screened by"drugs-active ingredients-disease-targets"network analysis.The core targets including MAPK1、F2、CAV1、EDN1 and GJA1 were identified through PPI network analysis.The potential targets are mainly concentrated in multiple biological processes,namely,the positive regulation of gene expression,cardiac development,and the positive regulation of MAPK cascade,and involve multi key pathways including MAPK signaling pathway,HIF-1 signaling pathway and PI3K/Akt signaling pathway etc.Good binding activities were observed between MAPK1,CAV1,EDN1,F2 and quercetin,luteolin,kaempferol,tanshinaldehyde,as well as MAPK1,F2 and arachidonic acid.(2)Compared with sham operation group,LVEF and LVFS of rats significantly reduced(P＜0.01),heart mass index obviously increased(P＜0.05)in the model group.Myocardial tissue appears obvious pathological damage,and the degree of interstitial fibrosis was serious.The collagen volume fraction of the heart significantly increased(P＜0.01).The levels of serum BNP,ANP and ALD significantly increased(P＜0.01).The mRNA and protein expressions of CAV1、F2 and MAPK1 in heart tissue significantly increased(P＜0.05,P＜0.01).Compared with the model group,LVEF and LVFS of rats obviously increased(P＜0.01),but the decrease in heart mass index was not significant(P＞0.05)in Shenfu Yixin Granules group and positive control group.The pathological damage in myocardial tissues was significantly improved,the degree of interstitial fibrosis was significantly reduced.The collagen volume fraction of the heart significantly decreased(P＜0.01).The levels of serum BNP,ANP and ALD significantly decreased(P＜0.01).The mRNA and protein expressions of CAV1、F2 and MAPK1 in heart tissue significantly decreased(P＜0.05,P＜0.01).Conclusion Shenfu Yixin Granules may improve heart function and myocardial fibrosis in heart failure rats through the interaction between the active ingredients(quercetin,luteolin,arachidonic acid,kaempferol,and tanshinaldehyde)and targets(MAPK1,F2,CAV-1,and EDN1),so as to regulate MAPK signaling pathway and PI3K/Akt signaling pathway.

Objective To evaluate and summarize the evidence related to targeted temperature management in brain injury patients with ICU for health care workers and decision makers.Methods We systematically searched from the guideline websites,domestic and foreign databases and association official websites to collect the literature including guidelines,expert consensuses,clinic decision-making,evidence summaries and systematic reviews,according to the 6s evidence model.The search time limit was from January 2012 to April,2023.Evidence was extracted after the quality evaluation of the literature was conducted by evidence-based researchers.Results A total of 19 articles were incorporated,including 6 guidelines,3 clinic decision-making,5 expert consensuses,4 systematic reviews and 1 evidence summary.Finally,25 pieces of best evidence were formed from 10 aspects,temperature range,starting time,body temperature monitoring,pipeline management,analgesia and sedation management,mechanical ventilation and oxygenation management,hemodynamic support,nutrition management,condition monitoring and prognosis evaluation.Conclusion The best evidence for management of targeted temperature in brain injury patients with ICU in this study is scientific and comprehensive,providing the evidence-based basis for medical staff to standardized management of targeted temperature in critically ill patients in clinical practice.

Objective To investigate the independent influences on the occurrence of ICU Acquired Weakness(ICU-AW)in elderly patients undergoing third-and fourth-level surgeries,to construct a prediction model and draw a column-line diagram,and to internally validate the model.Methods A convenience sampling method was used to select 186 elderly patients undergoing tertiary and quaternary surgeries who were hospitalized in 3 tertiary A hospitals in Beijing from May to December 2022 as the study subjects.Single-factor and multifactor logistic regression were used to analyze the risk factors for ICU-AW in elderly patients undergoing third-and fourth-degree surgeries.A risk prediction model was established and the model was visualized by drawing a column-line diagram,and the receiver operator characteristic curve(ROC)and the Hosmer-Lemeshow tests were applied to verify the predictive effect of the model.Results ICU-AW occurred in 40 of 186 cases in the modeling group,with an incidence rate of 21.5％.The results of univariate analysis showed that the 2 groups of preoperative physiology score and surgical severity score included in the physiology and surgical severity scoring system,age,presence of cardiac disease,hemoglobin(within 24 h of admission to the ICU),blood urea nitrogen(within 24 h of admission to the ICU),blood creatinine(within 24 h of admission to the ICU),presence of braking,mode of establishment of mechanical ventilation,presence of nutritional therapy,number of sedative or analgesic drugs used,whether vasoactive drugs were used,whether diuretics were used,and the level of hemoglobin,blood urea nitrogen and blood creatinine within 24 h after admission to ICU the difference is statistically significant(P＜0.05).The results of multifactorial logistic regression analysis showed that preoperative physiology scores included in the physiology and surgical severity scoring system,the presence of cardiac disease,the presence of braking,the presence of nutritional therapy,and the number of sedative or analgesic medications used were the predictors of the occurrence of ICU-AW in elderly patients undergoing third-and fourth-degree surgeries(OR were 1.364,2.344,5.568,5.823,1.109,all P＜0.05).The above 5 factors were plotted as independent variables in a column-line graph,and the area under the ROC curve of the model was 0.859(95％CI 0.793～0.924),with an optimal critical value of 0.156,a sensitivity of 0.875,a specificity of 0.705,and a Hosmer-Lemeshow goodness-of-fit test of x2=3.906,P=0.865,Brier score of 0.109,and a decision analysis curve indicating that patients could benefit.Conclusion The predictive effect of the constructed model is good,and it can be used as a reference for early and rapid identification of the risk of ICU-AW in elderly patients undergoing third-and fourth-degree surgeries by clinical staff,and timely provision of preventive intervention programs.

Objective:To carry out high-risk foot examination and grading combined with two examination methods for inpatients with type 2 diabetes, and explore the influencing factors of the occurrence and development of high-risk foot, and investigate their foot care behavior status.Methods:From July 2021 to January 2022, 409 patients with diabetes who were admitted to the Department of Endocrinology, Department of Geriatrics, Department of Cardiology, Urology Surgery and Department of Ophthalmology of Xuanwu Hospital of Capital Medical University were selected as research subjects by convenience sampling. The General Information Questionnaire, Standardized Process of At-risk Foot Screening and Stratification for Diabetic Patients, InIow's Screening for the High-Risk Diabetic Foot: A 60-Second Tool, and Foot Care Behavior Questionnaire for Diabetic Patients. Single factor analysis and Logistic regression analysis were used to explore the factors influencing the occurrence and development of high-risk foot in type 2 diabetes patients. A total of 409 questionnaires were distributed, and 392 valid questionnaires were collected, with an effective response rate of 95.8% (392/409) .Results:Among 392 patients, the detection rate of high-risk diabetic foot (HRDF) was 76.3% (299/392), and the proportion of high-risk foot grade 2 was the largest (193). Age ( OR=1.042, P<0.01) and years of hypertension ( OR=1.030, P<0.05) were independent influencing factors for the occurrence of HRDF, with statistically significant differences. Taking the high risk foot grade 3 as a reference, cerebrovascular disease [ OR=16.408, 95% CI (1.323, 203.417) ], diabetes course [ OR=1.066, 95% CI (1.008, 1.128) ], education level in middle school [ OR=0.180, 95% CI (0.056, 0.581) ], education level in primary school and below [ OR=0.126, 95% CI (0.019, 0.841) ] were independent influencing factors for the progress of high risk foot. The foot care behavior of high-risk foot patients with high risk levels was not superior to that of patients with low risk levels. Conclusions:The combination of the two screening methods can meet the examination needs of clinical and nursing medical staff for inpatients with type 2 diabetes. Emphasizing the influencing factors of HRDF occurrence and development can provide reference for early identification of high-risk foot.

Objective:To investigate risk factors for cognitive decline in elderly hospitalised hypertensive patients, develop a risk prediction model and validate it.Methods:By the convenient sampling method, a total of 379 elderly hypertensive patients admitted to Department of Cardiology, Department of Geriatrics (General) and Department of Endocrinology in Xuanwu Hospital of Capital Medical University from April to October 2022 were selected as the study objects. Binomial Logistic regression analysis was used to explore the risk factors of cognitive frailty in elderly hospitalized hypertensive patients and establish a prediction model. Receiver operating characteristic curve (ROC) and Hosmer-Lemeshow goodness of fit test were used to evaluate the prediction effect and calibration degree of the model, and Bootstrap method was used for internal verification.Results:Among 379 elderly hospitalized hypertensive patients, 145 (38.3%) had cognitive frailty. Binomial Logistic regression analysis showed that age, education level, drinking history, daily exercise, use of angiotensin receptor antagonists, Barthel index and nutritional status were the influential factors for cognitive frailty in elderly hospitalized hypertensive patients ( P< 0.05). The area under ROC curve of the prediction model was 0.770 (95% CI: 0.721-0.819, P< 0.001), the sensitivity was 0.607, the specificity was 0.838, and the maximum approximate entry index was 0.445. Hosmer Lemeshow goodness of fit test χ 2=3.581, P=0.893. Internal validation was conducted using the Bootstrap method to resample 1 000 times, and the results showed that the average area under the ROC curve of the prediction model was 0.737 (0.687-0.788) . Conclusions:The risk prediction model for cognitive decline in elderly hospitalized hypertensive patients can predict the risk of cognitive frailty in elderly hospitalized hypertensive patients, which can provide references for medical staff to develop corresponding intervention measures.

This article briefly introduces the roles and characteristics of nurse practitioners abroad and reviews their role and influence in primary health care and puts forward some thoughts on the training of nurse practitioners in China, in order to provide a reference for the training of nurse practitioners in China.