ObjectiveTo systematically evaluate the effect of art therapy on the mental health of older adults with mild cognitive impairment (MCI), based on International Classification of Functioning, Disability and Health. MethodsLiterature on art therapy for mental health of MCI older adults was retrieved from databases of CNKI, VIP, Wanfang Data, PubMed, ProQuest and Web of Science, between 2014 and 2024, and selected according to inclusion and exclusion criteria. The quality of the literature was assessed using PEDro scale, and a systematic review was conducted following the PRISMA guideline. ResultsA total of nine researches were included from China, Tanzania, Spain, Malaysia and Singapore, involving 763 individuals with MCI aged 60 or more (average 71.23). The types of art therapy interventions were visual arts therapy (painting, collage, paper-cutting, sculpture and modeling, etc.), expressive arts therapy (encompassing dance and music) and creative arts therapy (narrative creation), 30 to 120 minutes a time (majority of 60 minutes), one to four times a week (majority of two to four times), for six to 36 weeks (majority of six to twelve weeks). Health outcomes predominantly focused on mental health, such as anxiety and depression. ConclusionMost researches support that art therapy is effective on mental health of older adults with MCI, but there are disagreements in some researches, and more researches are needed.

In recent years, the field of cardiovascular surgery has undergone revolutionary changes and made rapid progress in various aspects, bringing more hope and possibilities for the health and well-being of patients. The constant emergence of new technologies brings new opportunities and hope, as well as constant challenges to past concepts. This article aims to provide a comprehensive overview of the latest developments in cardiovascular surgery in recent years, especially since 2023. It introduces cutting-edge knowledge and technologies in the field of cardiovascular surgery, including lifelong management of aortic valve disease, artificial valves, mitral valves, treatment options for hypertrophic obstructive cardiomyopathy, heart transplantation, left ventricular assist, coronary artery surgery, cardiac structural interventions for chronic heart failure, aortic dissection, and comprehensive surgical treatment of atrial fibrillation. It also analyzes and explores future development directions in depth, aiming to provide useful references and inspiration for cardiovascular doctors and jointly promote the continuous progress of cardiovascular surgery in China.

In recent years, with the continuous development and increasing maturity of interventional techniques, interventional treatment for congenital heart disease (CHD) has been progressively disseminated to county- and city-level hospitals in China. Concurrently, the standardized management of adult CHD (particularly patent foramen ovale) and the lifelong management of complex CHD are gaining increasing clinical attention, while the emergence of new techniques and products continuously advances the discipline. This article aims to review the new progress made in the field of interventional treatment for congenital heart disease in China during 2024. It specifically reviews and analyzes the following key aspects: (1) annual statistics on interventional closure procedures for CHD; (2) recent insights into patent foramen ovale closure; (3) advances in transcatheter pulmonary valve replacement; (4) interventional treatment and lifelong management strategies for complex CHD; (5) new interventional techniques for acquired heart disease; and (6) the application of artificial intelligence in CHD management. Through the synthesis and discussion of these topics, this article seeks to provide a detailed analysis of the current landscape of interventional treatment for CHD in China and project its future development trends.

Objective To review the application of artificial intelligence in anxiety and depression among children and adolescents. Methods PubMed,Web of Science,CNKI and Wanfang data were searched for literature related to artificial intelligence applied in of anxiety and depression among children and adolescents from January,2014 to January,2024,and a scoping review was conducted. Results A total of ten papers were included,originating from the United States,China,Australia and France.These re-searches were primarily published in journals related to psychology,public health,clinical medicine,neurosci-ence and rehabilitation,involving six cross-sectional researches,three longitudinal researches and one interview,including 10 880 participants aged from three to 18 years.The types of data mainly included questionnaires/scales,interview data and brain imaging data.Features related to anxiety and depression were extracted from the data,and artificial intelligence were employed to develop models for the identification or prediction of anxiety and depression in children and adolescents. Conclusion Artificial intelligence is potential for identifying or predicting anxiety and depression in children and adoles-cents.

Objective To establish the categories and structure of physical activity in children with autism spectrum disorder(ASD),and systematically evaluate the long-term effect of physical activity on the executive function of children with ASD,based on the theoretical and methodological framework of the International Classification of Functioning,Disability,and Health-Children and Youth version(ICF-CY). Methods A search was conducted in databases such as Wanfang data,CNKI,PubMed,Web of Science and ProQuest,to collect literatures about long-term physical activity for executive function of children with ASD published from 2014 to 2023.The literatures were reviewed based on inclusion and exclusion criteria,following PRISMA guide-lines for systematic review,and the quality of the included literatures were assessed with the Physiotherapy Evi-dence Database(PEDro)scale. Results Totally,ten articles were included,consisting of nine randomized controlled trials(RCTs)and one non-random-ized controlled trial,with a total of 351 children diagnosed as ASD,aged three to 18 years,came from Italy,Cana-da,South Korea,China and the United States,published mainly after 2016.Physical activity primarily included sports activities(such as baseball,basketball,table tennis and equine-assisted activities),skill-based activities(such as cycling,cognitive-motor training and active gaming),physical fitness activities(SPARK),as well as combat-related activities(martial arts and karate);30 to 70 minutes a time(mainly 45 minutes),one to five times a week(mainly twice a week),for two to 24 weeks(mainly twelve weeks).Long-term physical activities had been found to improve inhibitory control and cognitive flexibility in children with ASD,although the effect on working memory was inconsistent. Conclusion Long-term physical activity may positively impact on executive function in children with ASD,especially inhibitory control and cognitive flexibility.However,the effect on working memory need more researches.

Objective To review the application of artificial intelligence(AI)in the identification,monitoring and intervention of sleep disorders in the elderly and the effect. Methods A scoping review was conducted by searching relevant literature ahout the application of AI in the field of sleep disorders among the elderly from databases including PubMed,Web of Science,CNKI,and Wanfang data,covering literatures from the establishment to June,2024. Results A total of ten articles were included,originating from seven countries and involving 36 344 elderly participants.The publication dates ranged from 2020 to 2024.The study types included six cross-sectional studies,one pro-spective study,one self-controlled study and two randomized controlled trials.The articles mainly came from the fields of clinical medicine,sleep research,rehabilitation medicine and information engineering.AI was primarily used for monitoring the entire sleep process of the elderly,predicting and identifying sleep disorders,and inter-ventions such as biofeedback,online consultations and cognitive-behavioral therapy based on mobile platforms. Conclusion AI not only improves the accuracy of diagnosing sleep disorders,but also provides robust data support for clinical intervention.Online sleep interventions based on big data and intelligent algorithms can offer effective health management for the elderly.

Objective: To analyse the effects of physical activity on neurocognitive function in children with autism spectrum disorder (ASD),so as to provide a theoretical basis and specific guidance for the clinical cognitive function rehabilitation practice of ASD children. Methods: Relevant literature on the effects of physical activity on neurocognitive function in children with ASD were searched in the China National Knowledge Infrastructure (CNKI), Wanfang, Web of Science, and EBSCO databases from their inception to March 2024 using specific subject terms. Information on authors, countries, publication dates, study populations, diagnostic criterion, interventions, measurement tools and study results were extracted postscreening. The methodological quality of the articles was assessed using the PEDro Scale, followed by a systematic review. Results: A total of seventeen articles and were included in the study and English literature, most of them were of good quality. The study included 10 randomized controlled trials, 4 quasiexperimental designs, and 3 preand posttest designs. The rehabilitative effects of physical activity on children with ASD were primarily observed in enhanced attention and executive function, as well as improvements in brain structure and function. Children with ASD showed varying cognitive effects in physical and skillbased programs, with skillbased activities like basketball and table tennis notably improving cognitive function. Conclusion Physical activity is an effective intervention that enhances cognitive abilities such as attention and executive function, as well as brain structure and function in children with ASD.

Objective:To investigate short-term safety, efficacy and the learning curve of this self-developed novel transcatheter valve repair system (Neonova?) in patients with mitral regurgitation, and explore the role of perioperative echocardiography.Methods:Ten patients who visited the Union Hospital of Tongji Medical College, Huazhong University of Science and Technology from June 2021 to March 2022 and met the inclusive criteria were prospectively enrolled. All the patients were at high risk of surgery with moderate to severe or severe mitral regurgitation (MR). Clamps of Neonova? were implanted under guidance of transesophageal echocardiography and digital subtraction angiography. Clinical outcomes, echocardiography indexes and learning curves of this technique were evaluated immediately after intervention, 7 d, 1 month and 3 months post-intervention.Results:The technical success rate was 100% with MR relieved in all patients immediately after intervention. The device and procedural success rates were both 90.0% with 1 patient received surgical replacement at 37 days post-intervention while the others′ reduced to mild (8/9) and moderate (1/9) MR. New York Heart Association class and the Kansas City Cardiomyopathy Questionnaire improved significantly (all P<0.001). Mean mitral valve pressure gradient didn′t increase significantly after intervention when compared with that before intervention( P=0.324), and no mitral stenosis was observed. Left ventricular end-diastolic diameter decreased significantly ( P=0.008) during follow up.Procedure duration ranged from 60 to 300 (175.8±75.2)minutes. The simple linear regression model between procedure volume and duration showed that procedure duration decreased significantly with the increase of procedure volume ( F=15.857, P=0.004). Conclusions:Neonova? implantation can improve MR severity and clinical symptoms safely and effectively. Transthoracic echocardiography and transesophageal echocardiography are essential for perioperative management of transcatheter mitral valve repair.

ObjectiveTo explore the effects of dance intervention on cognitive function in children and clarify the design variables of dance intervention protocol. MethodsLiteratures about effects of dance intervention on cognitive function in children were searched in PubMed, Web of Science, EBSCO, Cochrane library, CNKI, VIP and Wanfang Data, with publication dates ranging from inception to June 1, 2022. They were screened and extracted authors, countries, years, samples, study designs, interventions, measurement instruments and outcomes. The Physiotherapy Evidence Database (PEDro) scale was used to assess the methodological quality of included literature. ResultsTen articles were enrolled, which were randomized controlled trial (RCT) and quasi-RCT for typically developing children and developmentally challenged children. The global PEDro score was good. Dance intervention protocol could be divided into four types: dance training course, dance rehabilitation program, dance breaks and aerobic dance. Dance training course was used in the majority of studies. Dance intervention in childhood positively influenced sensorimotor synchronization, attention and executive function. Further studies should pay more attention on the dose-response relationship between dance and cognitive function in children, as well as cognitive load during dance learning. ConclusionWhether short-term or long-term, dance activity is a feasible and effective method to promote sensorimotor synchronization, attention and executive function in children; epecially on the sensorimotor synchronization, attention maintenance time and working memory capacity.

ObjectiveTo observe the effect of twelve-week aerobic exercise on inhibitory control abilities and the change of brain activation in overweight children. MethodsFrom October to December, 2021, 20 overweight children from a primary school in Changping District were selected for a twelve-week aerobic exercise intervention. Their inhibitory control abilities were measured by Flanker task before and after intervention, while their brain activation levels during the task were detected by functional near infrared spectroscopy (fNIRS). ResultsThe interactions between task type and time of accuracy and reaction time in inconsistent tasks Flanker task were significant (F > 9.277, P < 0.05), with higher accuracy and lower reaction time of after intervention (P < 0.05). After intervention, ch1, ch2, ch3, ch6, and ch8 channels were activated by inconsistent tasks (P < 0.05). ConclusionA twelve-week aerobic exercise intervention could improve the inhibitory control ability, and increase the prefrontal cortex activation during inconsistent tasks in overweight children.