Objective:To systematically evaluate the intervention effect of electroencephalographic biofeed-back on the core symptoms as well as the sustained effects of attention deficit hyperactivity disorder(ADHD)in adolescents.Methods:Web of Science,PubMed,Embase,Cochrane library,China Biomedical Literature Database,China Knowledge Network,Wanfang database were searched.Retrieval of publicly available randomized controlled trials published from the time of construction to May 1,2023.Meta-analysis was performed using Review Manager 5.4 software,and publication bias detection was performed using Stata 17.0 software.Results:A total of 14 studies were included,and meta-analysis showed that EEG biofeedback had a statistically significant effect on improving core symptoms(SMD=0.35,95％CI:0.19-0.52,P＜0.001),learning ability(SMD=0.26,95％CI:0.05-0.48,P＜0.05),oppositional defiant behaviour(SMD=0.24,95％CI:0.07-0.42,P＜0.01)in children and ado-lescents with attention-deficit hyperactivity disorder,statistically significant in the effects of sustained improvement in core symptoms(SMD=0.31,95％CI:0.13-0.49,P＜0.001)and learning ability(SMD=0.27,95％CI:0.06-0.49,P＜0.05).Conclusion:EEG biofeedback is effective in improving core symptoms and sustaining improve-ment in children and adolescents with attention deficit hyperactivity disorder.

Objective To evaluate the effect of exercise on freezing of gait in Parkinson's disease.Methods After constructing a PICO framework,randomized controlled trials(RCTs)about exercise for freezing of gait in Parkinson's disease were systematically retrieved from Web of Science,PubMed,Cochrane Library,Embase,CNKI,VIP and Wanfang Data,from the establishment of the databases to March,2025.The PEDro scale was used to evaluate the quality of literature,Stata 17.0 was used for meta-analysis,and GRADE was used to assess the evidence quality.Results A total of twelve RCTs involving 463 patients were included,with PEDro scale scores of five to eight.Exercise improved the scores of Freezing of Gait Questionnaire(FOGQ)(SMD=-0.61,95%CI-0.85～-0.36,P<0.001)and Unified Parkinson's Disease Rating Scale Ⅲ(UPDRSⅢ)(SMD=-0.84,95%CI-1.27～-0.41,P<0.001).Subgroup analysis revealed that the patients aged 59 to 68 years,the course of disease

Objective:To systematically evaluate the intervention effect of electroencephalographic biofeed-back on the core symptoms as well as the sustained effects of attention deficit hyperactivity disorder(ADHD)in adolescents.Methods:Web of Science,PubMed,Embase,Cochrane library,China Biomedical Literature Database,China Knowledge Network,Wanfang database were searched.Retrieval of publicly available randomized controlled trials published from the time of construction to May 1,2023.Meta-analysis was performed using Review Manager 5.4 software,and publication bias detection was performed using Stata 17.0 software.Results:A total of 14 studies were included,and meta-analysis showed that EEG biofeedback had a statistically significant effect on improving core symptoms(SMD=0.35,95％CI:0.19-0.52,P＜0.001),learning ability(SMD=0.26,95％CI:0.05-0.48,P＜0.05),oppositional defiant behaviour(SMD=0.24,95％CI:0.07-0.42,P＜0.01)in children and ado-lescents with attention-deficit hyperactivity disorder,statistically significant in the effects of sustained improvement in core symptoms(SMD=0.31,95％CI:0.13-0.49,P＜0.001)and learning ability(SMD=0.27,95％CI:0.06-0.49,P＜0.05).Conclusion:EEG biofeedback is effective in improving core symptoms and sustaining improve-ment in children and adolescents with attention deficit hyperactivity disorder.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Objective To establish an acute rejection model of cervical heart transplantation in mice and evaluate the survival and dynamic rejection process post-transplantation. Methods Mice were randomly divided into sham operation group (n=10), syngeneic transplantation group (n=21), and allogeneic transplantation group (n=65). Sham operation, syngeneic cervical heart transplantation, and allogeneic cervical heart transplantation were performed respectively. The survival of recipient mice and grafts, histopathological changes of graft tissues, subpopulations of splenic lymphocytes, and expression of inflammatory factors in serum and grafts were observed. Results The survival rate and graft survival rate of the sham operation group and syngeneic transplantation group were 100% at 7 days after surgery. In the allogeneic transplantation group, 5 cases failed and died on the first day after surgery. The survival rate at 7 days after surgery was 86%, and all surviving mice had grafts that stopped beating at 7 days after surgery. The allogeneic transplantation group showed significant rejection at 7 days after surgery, accompanied by tissue damage and CD8⁺ T cell infiltration. The proportion of CD8⁺ T cells in the spleen continued to rise post-operation, while the proportion of CD4⁺ T cells showed a downward trend. The expression of interferon-γ in serum and grafts peaked at 5 days after surgery, while the expression of tumor necrosis factor-α showed no statistical significance. Conclusions Acute rejection following heart transplantation in mice intensifies between 5 to 7 days after surgery, which may be a critical time window for immunological intervention.

Objective:To implement a scoping review of the application of wearable devices in adult weight management, identifying the types and characteristics, working principles and functions, impact on healthy lifestyles, effectiveness and user adherence of wearable devices.Methods:According to the scoping review framework, the literature on the application of wearable devices in weight management for adults was systematically searched in PubMed, Embase, Web of Science, Cochrane Library, CINAHL, PsycINFO, China National Knowledge Infrastructure, WanFang Data, VIP, and China Biology Medicine disc. The search period was from database establishment to June 20, 2024. Two researchers performed data extraction and summary analysis of the included literature.Results:A total of 23 papers were included, including 21 randomized controlled trials and two quasi-experimental studies, published from 2011 to 2024. Wearable devices combined with lifestyle interventions achieved weight management goals by reducing adult weight, waist circumference and body fat, and increased physical activity, reduced sedentary behavior and improved eating habits.Conclusions:Wearable devices demonstrate some advantages in weight management, but their use still needs to be supported by further empirical studies to ensure their effectiveness in different populations and settings to inform the development of weight management intervention programs.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

OBJECTIVES: To analyze the efficacy and safety of concomitant left atrial appendage clipping during heart valve surgery for valvular heart disease patients with atrial fibrillation. METHODS: Fifty-eight patients who underwent concomitant left atrial appendage clipping during cardiac valve surgery in the Second Affiliated Hospital of Nanchang University from January 2017 to June 2023 were included in the analysis, including 1 case who underwent aortic valve replacement, 49 cases who underwent mitral valve replace-ment (or valvuloplasty)+tricuspid valvuloplasty, and 8 cases who underwent double valve replacement+tricuspid valvuloplasty (3 cases combined with coronary artery bypass grafting). The patients were followed up for 3-36 months [(16.69±6.61) months] after operation, and the changes of cardiac function and the occurrence of serious adverse complications were evaluated. RESULTS: The cardiopulmonary bypass time ranged from 75 to 145 min [(102.50±21.03) min], and the aortic cross-clamp time ranged from 35 to 80 min [(58.02±14.63) min]. The length of postoperative intensive care unit stay was 1 to 5 days [(2.47±0.82) d], and the length of postoperative hospital stay was 7 to 22 days [(10.84±2.69) d]. Cardiac ultrasound indicated complete closure of the left atrial appendage in all cases. During the follow-up, New York Heart Association (NYHA) functional classifications were improved in 54 patients. No left atrial appendage-related bleeding events or other perioperative complications were observed; and no cerebral infarction, limb embolism events, or mortality cases occurred during the follow-up. CONCLUSIONS For valvular heart disease patients with atrial fibrillation, concomitant left atrial appendage clipping during cardiac valve surgery demonstrates efficacy and safety, with no severe adverse events during a medium-term follow-up.
Humans ; Atrial Appendage/surgery* ; Atrial Fibrillation/complications* ; Male ; Female ; Heart Valve Diseases/complications* ; Aged ; Middle Aged ; Heart Valve Prosthesis Implantation/methods* ; Treatment Outcome ; Cardiac Surgical Procedures/methods* ; Mitral Valve/surgery*