ObjectiveTo systematically review the efficacy of Chinese medicine injection (CMI) for treating heart failure (HF).MethodsCNKI, WanFang Data, VIP, The Cochrane Library, PubMed, and EMbase databases were electronically searched from inception to January 2021 to identify randomized controlled trials (RCTs) on CMI for treating HF. Two reviewers independently screened literature, extracted data, and evaluated the risk of bias of included studies. Network meta-analysis was then performed by RevMan 5.2 software and Stata 16.0 software.ResultsA total of 47 studies were included involving 4 902 patients and 5 types of CMIs, including Shenmai, Shenfu, Yiqi Fumai (lyophilized), Shengmai, and Danhong injections. The results of network meta-analysis showed that the efficacy of combined CMIs was superior to conventional Western medicine alone. For the main efficacy, Shenmai, Shengmai, and Shenfu injections had significant advantages in improving the total clinical effectiveness. Shengmai, Shenmai, and Yiqi Fumai (lyophilized) injections were significantly more effective for reducing NT pro-BNP levels than other injections. Shenfu and Shengmai injections were significantly more effective for reducing BNP levels than other injections. Shenmai, Danhong and Shengmai injections were significantly more effective for improving the left ventricular ejection fraction than the other injections. These CMIs showed similar advantages for secondary efficacy indicators as for main efficacy indicators.ConclusionsThe combined 5 types of CMIs for treating HF can improve the clinical efficacy when compared with conventional Western medicine treatment. Shenmai injection, Yiqi Fumai injection (lyophilized), and Shengmai injection, which is part of Sheng Mai San, have clear advantages in terms of the overall curative effect or on individual indices.
Heart failure is a disease that seriously threatens human health and has become a global public health problem. Diagnostic and prognostic analysis of heart failure based on medical imaging and clinical data can reveal the progression of heart failure and reduce the risk of death of patients, which has important research value. The traditional analysis methods based on statistics and machine learning have some problems, such as insufficient model capability, poor accuracy due to prior dependence, and poor model adaptability. In recent years, with the development of artificial intelligence technology, deep learning has been gradually applied to clinical data analysis in the field of heart failure, showing a new perspective. This paper reviews the main progress, application methods and major achievements of deep learning in heart failure diagnosis, heart failure mortality and heart failure readmission, summarizes the existing problems and presents the prospects of related research to promote the clinical application of deep learning in heart failure clinical research.
OBJECTIVE: To observe the heart anatomic and histological structure of the Banna mini-pig inbred-lined and to provide the morphological data for heart xenotransplantation and breeding transgens pig. METHODS: Ten Banna mini-pigs (12-18 months old) were affused and fixed by common coratid artery. The heart were observed and measured by gross anatomy and histology. RESULTS: There were many similarities between the Banna pig heart and the human heart in anatomy and histology. However, the following differences were observed in the Banna pig heart: 1. Azygos vein directly drew into right atrium cordis. 2. The intercalated disk of cardiac muscle was less than that of human. 3. The Purkinje’s fibre was bigger than that of human. CONCLUSION: On the morphology and histology, the structure of Banna pig heart is similar to the heart of human being. It is possible that Banna minipig heart becomes organ donors for xenotransplantation.
Objective To analyze the mid-term results of surgical treatment for prosthetic valve endocarditis (PVE). Methods We retrospectively analyzed the clinical data of 22 PVE patients operated in our institution from January 2006 to June 2016. There were 14 males and 8 females, aged 31-62 (49.6±11.8) years. PVE occurred following single valve replacements in 20 patients, including aortic valve replacements in 12 and mitral valve replacements in 8. Two patients suffered PVE after multi-valve replacement, which was aortic and mitral valves. Mechanical valves were used in all patients. Early PVE (<1 year after valve implantation) was detected in 10 patients, and late PVE (>1 year after valve implantation) in 12 patients. Blood culture was negative in 6 patients. Fifteen patients underwent emergent or urgent surgery (within one week after definite diagnosis) and 7 elective surgery. Paravalvular abscess was detected in 12 patients and repaired bovine pericardium. Results Three patients (13.6%) died postoperatively in hospital, among whom two died of multiple systemic organ failure, and the other died of cerebral hemorrhage. Main postoperative complications included low cardiac output syndrome in 5 patients (22.7%), renal dysfunction in 6 (27.3%), respiratory failure in 5 (22.7%) and pulmonary infection in 4 (18.2%). During the follow-up of 6-120 (53.6±20.8) months, 2 deaths were observed in the middle term, including one sudden death and the other of cerebral infarction. No recurrent infection or valve-related surgery was observed during the follow-up. The survival rate was 86.4% in 1 year and 70.4% in 5 years. Conclusion PVE is a very severe disease with high mortality. Early surgical treatment and complete removal of infectious tissues have preferable early- and mid-term results.
Heart valve disease (HVD) is one of the common cardiovascular diseases. Heart sound is an important physiological signal for diagnosing HVDs. This paper proposed a model based on combination of basic component features and envelope autocorrelation features to detect early HVDs. Initially, heart sound signals lasting 5 minutes were denoised by empirical mode decomposition (EMD) algorithm and segmented. Then the basic component features and envelope autocorrelation features of heart sound segments were extracted to construct heart sound feature set. Then the max-relevance and min-redundancy (MRMR) algorithm was utilized to select the optimal mixed feature subset. Finally, decision tree, support vector machine (SVM) and k-nearest neighbor (KNN) classifiers were trained to detect the early HVDs from the normal heart sounds and obtained the best accuracy of 99.9% in clinical database. Normal valve, abnormal semilunar valve and abnormal atrioventricular valve heart sounds were classified and the best accuracy was 99.8%. Moreover, normal valve, single-valve abnormal and multi-valve abnormal heart sounds were classified and the best accuracy was 98.2%. In public database, this method also obtained the good overall accuracy. The result demonstrated this proposed method had important value for the clinical diagnosis of early HVDs.
Objective To evaluate the effects of enhanced external counterpulsation (EECP) on exercise capacity and quality of life in patients with chronic heart failure. Methods PubMed, The Cochrane Library, EMbase, CNKI, Wanfang Data, VIP and CBM databases from January 1, 2010 to October 1, 2022 were searched by computer for the randomized controlled trial (RCT) about the intervention of EECP in patients with heart failure. Two researchers independently screened literature and extracted data. The meta-analysis was performed by RevMan 5.3. Results Nineteen RCTs were included. After EECP treatment, 6-minute walk distance (MD=57.37, 95%CI 40.89 to 70.85, P<0.001) and left ventricular ejection fraction improved (SMD=0.85, 95%CI 0.55 to 1.14, P<0.001). B-type natriuretic peptide decreased significantly (SMD=−0.67, 95%CI −1.09 to −0.25, P=0.002). The left ventricular end diastolic diameter (MD=−7.77, 95%CI −11.49 to −4.04, P<0.001), and the left ventricular end systolic diameter were significantly reduced (MD=−8.53, 95%CI −13.47 to −3.60, P<0.001). The quality of life of patients was improved (MD=16.34, 95%CI 0.59 to 32.10, P=0.04). Conclusion EECP can improve the exercise ability and the quality of life in patients with heart failure. However, more and larger well-designed RCTs are still needed to verify this conclusion.
Objective To discuss how is the perinatal infant’s prognosis influenced by different cardiac function and types of heart disease in pregnant women with heart disease, and to check the importance of antenatal examination. Method Retrospective analyses were conducted on the clinical records of 102 pregnant women hospitalized due to heart disease from February 2002 to February 2011 in the First Affiliated Hospital of Xinjiang Medical University. According to the level of cardiac function, 61 patients were divided into the Level I-II group and the other 41 patients were in the Level III-IV group. Results Of all cases, 38 were congenital heart disease (37.25%), followed by 22 arrhythmia (21.57%), 17 rheumatic heart disease (16.67%), 15 perinatal cardiomyopathy (14.71%), 7 hypertensive heart disease and 3 other types of heart disease. The average gestational weeks were shorter and the neonate’s weight was lower in the Level III-IV group than the Level I-II group, with a significant difference (Plt;0.05); the incidence of premature delivery, low birth weight infant at normal gestational age, neonatal asphyxia and perinatal mortality was higher in the Level III-IV group than the Level I-II group, with a significant difference (Plt;0.05); the rate of regular antenatal examination was higher in the Level III-IV group than the Level I-II group, with a significant difference (P=0.008); and there were significant differences between the regular and irregular examination groups in the incidence of premature delivery and low birth weight infant at normal gestational age (Plt;0.05), but no significant differences were found in the incidence of asphyxia and perinatal mortality (Pgt;0.05). Conclusions Congenital heart disease is the most commonly-seen type in the pregnant women with heart disease. The maternal cardiac function directly impact the prognosis of perinatal infant, and the regular antenatal examination, timely diagnosis and treatment can improve pregnancy outcome.
Objective To summarize and analyze the clinical outcomes and experiences of continuous renal replacement therapy(CRRT) in patients with acute renal insufficiency after heart transplantation. Methods There were 39 patients received orthotopic heart transplantation from September 2007 to September 2008 in Fu Wai hospital. Seven cases required the use of PRISMA CRRT machine (Gambro Healthcare,Inc.) because of acute renal insufficiency after heart transplantation, and received continuous venovenous hemodiafiltration(CVVHDF) treatment via M100 blood filter (hemofilters). Activated coagulation time (ACT) was maintained in 160200 s. Results Six survivals with New York Heart Association (NYHA)Ⅰdischarged ，1 case died of multiple system organ failure (MSOF) and severe infection. The time of CRRT was 48658 h, with an average of 252 h. Seven patients were oliguric or anuric during CRRT, but hemodynamics and internal environment were stable. After stopping CRRT, the creatinine level rose to 267.1±68.5 μmol/L， then the creatinine level decreased to normal range with urine increasing gradually. Postoperative glomerular filtration rate (GFR) was 56.5±19.0 ml/min， and there was no statistical significance compared with preoperative GFR（Pgt;0.05）. Six survivals were followed up for 513(9.7±3.8)months，and their creatinine level was in normal range(90.6±26.7 μmol/L). There was no statistical significance compared with the creatinine level at discharge (83.2±26.5 μmol/L, Pgt;0.05）. Conclusion The prognostic outcomes of patients with acute renal insufficiency after heart ransplantation are excellent after using CRRT. No significant renal dysfunction is found.
ObjectiveTo analyze the incidence of heart disease, its clinical manifestations and risk factors in patients with polymyositis (PM) and dermatomyositis (DM). MethodWe collected the clinical data of 138 PM (n=78) and DM (n=60) patients treated between January 2008 and March 2014, among whom there were 64 males and 74 females with an average age of (48.5±19.6) years old, and an average disease course of (84.5±6.9) months. We analyzed their incidence of heart disease, its clinical manifestations and the risk factors. Subsequently, we adopted single-factor analysis to analyze such factors as age, gender, disease course, kinds of disease, creatine kinase (CK), CK-MB, CK-MB/CK, troponin T, antinuclear antibodies, anti-SSA antibody, erythrocyte sedimentation rate, C-reactive protein, disease activity score, muscle force, pulmonary interstitial lesions and pulmonary artery hypertension. ResultsThere were 59 (42.7%) patients with heart disease, 48 (34.8%) with abnormal electrocardiogram, and 52 (37.7%) with abnormal color Doppler ultrasound results. Logistics multiple factors regression analysis found that the course of the disease (OR=1.669, P=0.010), myositis disease activity score (OR=7.456, P<0.001), pulmonary interstitial lesions (OR=4.568, P=0.014) were risk factor for heart disease in PM/DM patients. ConclusionsLong disease course duration, high myositis activity score and pulmonary interstitial lesions are strong predictors for heart damage in PM/DM patients.
Allogeneic mouse model of peritoneal heart transplant is a microscopic surgery on small animal with complex techniques. For a beginner, a learning curve of this surgical technique has to be experienced. The learning curve contains three stages:(1) to be familiar with the local anatomy of either donor or recipient mouse; (2) to be capable of collecting donor heart and well preparing the major peritoneal vessels of recipient; (3) to be skillful in the anastomosis of major vessels. The bottleneck of the learning curve is the valid skill of vascular anastomosis. The stepwise essentials are to "understand, be familiar, be accurate, and be quick" in the learning curve.