ObjectiveTo summarize the individualized selection of surgical treatment strategies and the key points of perioperative management for patients with heart valve disease complicated with severe chronic heart failure.MethodsThe clinical characteristics of 5 male patients with valvular heart disease complicated with severe chronic heart failure (CHF) were analyzed retrospectively from June 2017 to October 2018 in Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, with an average age of 60.21 years.ResultsFive patients were given angiotensin receptor and neprilysin inhibitor (ARNI)-based anti-heart failure treatment after admission. The operation mode of these patients was decided to be valve replacement under cardiopulmonary bypass after individualized evaluation of patients’ improving symptoms. Three patients were treated with intra-aortic balloon pump (IABP) and continuous renal replacement therapy (CRRT) early after operation to assist patients in improving cardiac function. Five patients recovered oral anti-heart failure after awakening. All patients were discharged smoothly 2 weeks after operation.ConclusionIndividualized evaluation is needed for the choice of operation timing and mode, standardized preoperative treatment for heart failure, shortening the aortic blocking time during cardiopulmonary bypass, and early application of left ventricular adjuvant drugs or instruments are all important measures to help patients recover smoothly.
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 investigate the impact of red blood cell suspension infusion across various perioperative periods on patients with valvular heart disease. Methods The patients with valvular heart disease admitted to Tianjin Chest Hospital from 2018 to 2020 were selected. Based on the timing of perioperative red cell suspension infusion, patients were categorized into three groups: a group 1 receiving intraoperative red cell suspension infusion, a group 2 receiving red cell suspension infusion within 24 hours after entering the ICU, and a group 3 receiving red cell suspension infusion at both time points. The laboratory results, perioperative blood component infusion volume, and other relevant parameters were retrospectively analyzed. After propensity score matching, the differences in different variables among the three groups were compared. Results After propensity score matching, 102 patients were enrolled, including 52 males and 50 females, with an average age of (61.74±10.58) years. There were 34 patients in each group. The preoperative hemoglobin (Hb) value of the group 2 was significantly higher than that of the group 1 and the group 3, and the amount of red cell suspension and autoblood transfusion was the lowest (P<0.05). In the group 1, Hb was the highest after surgery, Hb was the highest within 24 hours after surgery. HCT was the highest within 24 hours after surgery (P<0.05). The group 1 had the lowest plasma, platelet and cryoprecipitate infusion volumes, and the shortest cardiopulmonary bypass time, aortic occlusion time, postoperative ICU stay and hospital stay, and the least blood loss, total drainage volume (P<0.05). The difference between postoperative Hb and preoperative △Hb1 was significantly increased in the group 1 (P<0.05). Conclusion The intraoperative infusion of suspended red blood cells in patients with heart valves can be used to indicate to clinicians that patients have a better prognosis at discharge, review and follow-up.
Objective To evaluate the risk factors for postoperative in-hospital mortality in elderly patients receiving cardiac valvular surgery, and develop a new prediction models using the least absolute shrinkage and selection operator (LASSO)-logistic regression. Methods The patients≥65 years who underwent cardiac valvular surgery from 2016 to 2018 were collected from the Chinese Cardiac Surgery Registry (CCSR). The patients who received the surgery from January 2016 to June 2018 were allocated to a training set, and the patients who received the surgery from July to December 2018 were allocated to a testing set. The risk factors for postoperative mortality were analyzed and a LASSO-logistic regression prediction model was developed and compared with the EuroSCOREⅡ. Results A total of 7 163 patients were collected in this study, including 3 939 males and 3 224 females, with a mean age of 69.8±4.5 years. There were 5 774 patients in the training set and 1389 patients in the testing set. Overall, the in-hospital mortality was 4.0% (290/7163). The final LASSO-logistic regression model included 7 risk factors: age, preoperative left ventricular ejection fraction, combined coronary artery bypass grafting, creatinine clearance rate, cardiopulmonary bypass time, New York Heart Association cardiac classification. LASSO-logistic regression had a satisfying discrimination and calibration in both training [area under the curve (AUC)=0.785, 0.627] and testing cohorts (AUC=0.739, 0.642), which was superior to EuroSCOREⅡ. Conclusion The mortality rate for elderly patients undergoing cardiac valvular surgery is relatively high. LASSO-logistic regression model can predict the risk of in-hospital mortality in elderly patients receiving cardiac valvular surgery.
Preoperative evaluation is crucial for heart valvular surgery. This article discusses some issues that need to be emphasized: the impact of hypertension on the severity of aortic valve lesions, and how to improve the accuracy of clinical assessment; the identification of functional tricuspid regurgitation, in order to choose the appropriate surgical technique; the need for right ventricular function testing, and the use of risk scoring models, to better grasp surgical timing and indications and improve efficacy; and the importance of evaluating atrial mitral and/or tricuspid regurgitation complications in chronic atrial fibrillation, and making rational choices for interventional and surgical treatment.
The 2020 ACC/AHA Guideline for the Management of Patients with Valvular Heart Disease not only updates aortic valve stenosis, mitral regurgitation, prosthetic valves, infective endocarditis and antithrombotic treatment on the basis of the 2017 guidelines update for valvular heart disease, but also involves aortic valve regurgitation, bicuspid aortic valve, mitral stenosis, tricuspid regurgitation, combined valve disease, pregnancy with valvular disease, valve disease complicated with coronary heart disease, valve disease complicated with non-cardiac surgery and the prospect of comprehensive management of valve disease. It covers a wide range of contents, which are introduced in detail and comprehensively. This paper interprets some highlights and core issues, including the top 10 take-home messages, the severity of valvular heart disease, and the updates in the management of aortic valve stenosis, aortic valve regurgitation, bicuspid aortic valve, mitral stenosis and mitral regurgitation.
Objective To compare the effect of monopolar and bipolar radiofrequency ablation in patients with atrial fibrillation and concomitant rheumatic heart disease. Methods The clinical data of 261 patients who underwent valve replacement and radiofrequency Maze Ⅲ procedure in Shanghai First People's Hospital from 2010 to 2015 were retrospectively analyzed. According to the radiofrequency ablation system, patients were assigned to a monopolar radiofrequency ablation group (n=209, 129 males, 80 females, aged 59.6±9.7 years) and a bipolar radiofrequency ablation group (n=52, 36 males, 16 females, aged 58.6±11.2 years). After procedures, clinical factors such as patients' basic information, perioperative complication and mortality, the elimination rate of atrial fibrillation were measured. Results There was no statistic difference in perioperative morbidity and mortality between two groups. The ablation time of the monopolar radiofrequency ablation group was longer than that of the bipolar group (29.7±3.3 minvs. 22.3±7.8 min,P=0.035). Postoperative diameter of left atrium was reduced in both groups. Compared with the monopolar radiofrequency ablation group, bipolar group had a better elimination rate of atrial fibrillation at three months and one year follow-up (82.0%vs. 66.3%,P=0.037; 80.0%vs. 59.6%,P=0.008). Conclusion Valve replacement combined with radiofrequency Maze Ⅲ procedure is safe and efficient. Compared with monopolar radiofrequency ablation, bipolar radiofrequency ablation has advantage on elimination rate of atrial fibrillation, ablation time and cardiopulmonary bypass time.