Atrial fibrillation is one of the most common arrhythmia. Cardiac mapping technology, an important method to study the electrophysiological mechanism of atrial fibrillation, can determine the abnormal origin and record the distribution and transmission way of these atrial electrical signals. This technology offers a new way for research the electrophysiological mechanism of atrial fibrillation. The purpose of this study is to review the research progress of cardiac mapping in the electrophysiological mechanism of atrial fibrillation and clinical application.
Atrial fibrillation (AF) is one of the most common arrhythmias. Today, there are a large number of AF patients worldwide, and incidence increases with the increase of age. However, the current diagnosis rate of AF via auxiliary examination is relatively low. In view of the widespread application of artificial intelligence (AI) in the medical field, the diagnosis of AF using AI has also become a research hotspot. This article briefly introduces the relevant aspects of AI and reviews the application of AI in AF prediction.
The capacity for self-regeneration of the adult heart is very limited, conventional therapies cannot solve the loss of cardiomyocytes in the infarcted heart leads to continuous ventricular remodeling. Cell transplantation therapy is emerging as a novel approach for myocardial repair over conventional therapies. Various types of cell transplantation have improved cardiac function and angiogenesis in animal models and clinical settings. The safety and feasibility of some clinical trials have been initiated. In this review, we summarize the advantages and limitations of different cell types proposed for cell transplantation in myocardial infarction and give an overview of the clinical trials using this novel therapeutic approach in patients with myocardial infarction.
Objective To evaluate the effect of the 3D-printed heart model on congenital heart disease (CHD) education through systematic review and meta-analysis. Methods The literature about the application of the 3D-printed heart model in CHD education was systematically searched by computer from PubMed, Web of Science, and EMbase from inception to November 10, 2022. The two researchers independently screened the literature, extracted data and evaluated the quality of the literature. Cochrane literature evaluation standard was used to evaluate the quality of randomized controlled trials, and JBI evaluation scale was used for cross-sectional and cohort studies. ResultsAfter screening, 23 literatures were included, including 7 randomized controlled trials, 15 cross-sectional studies and 1 cohort study. Randomized controlled trials were all at low-risk, cross-sectional studies and and the cohort study had potential bias. There were 4 literatures comparing 3D printing heart model with 2D image teaching and the meta-analysis result showed that the effect of 3D printing heart model on theoretical achievement was more significant compared with 2D image teaching (SMD=0.31, 95%CI –0.28 to 0.91, P=0.05). Conclusion The application of the 3D-printed heart model in CHD education can be beneficial. But more randomized controlled trials are still needed to verify this result.
ObjectiveTo assess the safety of the removal of pericardial and mediastinal drain within different drainage volume after cardiac valvular replacement surgery.MethodsBetween July 2013 and July 2017, 201 patients with rheumatic heart disease (CHD) were treated with valve replacement in our hospital, including 57 males and 144 females, aged 15 to 72 years. They were divided into two groups according to the amount of 24-h drainage before the drain removal: a group one with 24-h drainage volume≤50 ml (n=127) and a group two with 24-h drainage volume>50 ml (n=74). The postoperative hospital stay and the incidence of severe complications between the two groups were compared.ResultsThere was no difference between the two groups in the baseline information or the incidence of severe pericardial effusion and tamponade, while the group two tended to have a shorter length of hospital stay after surgery (8.0 d vs. 7.5 d, P=0.013).ConclusionIn CHD patients undergoing valvular surgery, compared with a relatively low amount of drainage before the drain removal, drawing the tube at a greater amount of drainage (24-h drainage volume>50 ml) will shorten the length of hospital stay after cardiac surgery while incidence of severe complications remains the same.