Unicommissural unicuspid aortic valve (UAV) presenting as ascending aortic aneurysm with aortic dissection.

We herein present an exceptionally rare instance of a unicommissural unicuspid aortic valve (UAV) manifesting with an aneurysmal ascending aorta complicated by a type A aortic dissection .

Predictive nomogram for 28-day mortality risk in mitral valve disorder patients in the intensive care unit: A comprehensive assessment from the MIMIC-III database.

BACKGROUND: Mitral valve disorder (MVD) stands as the most prevalent valvular heart disease. Presently, a comprehensive clinical index to predict mortality in MVD remains elusive. The aim of our study is to construct and assess a nomogram for predicting the 28-day mortality risk of MVD patients. METHODS: Patients diagnosed with MVD were identified via ICD-9 code from the MIMIC-III database. Independent risk factors were identified utilizing the LASSO method and multivariate logistic regression to construct a nomogram model aimed at predicting the 28-day mortality risk. The nomogram's performance was assessed through various metrics including the area under the curve (AUC), calibration curves, Hosmer-Lemeshow test, integrated discriminant improvement (IDI), net reclassification improvement (NRI), and decision curve analysis (DCA). RESULTS: The study encompassed a total of 2771 patients diagnosed with MVD. Logistic regression analysis identified several independent risk factors: age, anion gap, creatinine, glucose, blood urea nitrogen level (BUN), urine output, systolic blood pressure (SBP), respiratory rate, saturation of peripheral oxygen (SpO2), Glasgow Coma Scale score (GCS), and metastatic cancer. These factors were found to independently influence the 28-day mortality risk among patients with MVD. The calibration curve demonstrated adequate calibration of the nomogram. Furthermore, the nomogram exhibited favorable discrimination in both the training and validation cohorts. The calculations of IDI, NRI, and DCA analyses demonstrate that the nomogram model provides a greater net benefit compared to the Simplified Acute Physiology Score II (SAPSII), Acute Physiology Score III (APSIII), and Sequential Organ Failure Assessment (SOFA) scoring systems. CONCLUSION: This study successfully identified independent risk factors for 28-day mortality in patients with MVD. Additionally, a nomogram model was developed to predict mortality, offering potential assistance in enhancing the prognosis for MVD patients. It's helpful in persuading patients to receive early interventional catheterization treatment, for example, transcatheter mitral valve replacement (TMVR), transcatheter mitral valve implantation (TMVI).

Management of prosthetic valve thrombosis with unfractionated heparin.

BACKGROUND: Prosthetic valve thrombosis (PVT) is a severe and life-threatening complication. Surgery and thrombolytic therapy (TT) carry a high risk, and in several circumstances, optimal anticoagulation with unfractionated heparin (UFH) infusion may be an alternative treatment. This study aimed to assess the results of UFH in patients diagnosed with both obstructive and non-obstructive PVT. METHODS: This observational retrospective study enrolled patients who had contraindications for TT and surgery underwent UFH therapy. RESULTS: A total of 136 patients were enrolled [male: 55 (40.4%), mean age: 50.3 ± 14.6 years] in the study. In the successful group, 66 patients (48,5%) showed >75% regression in the thrombus burden without facing death or major non-fatal complications.In the unsuccessful group, 56 had less than a 50% reduction in thrombus load and 14 (10.3%) suffered major complications. The presence of obstruction (27.1% vs. 12.1%; p = 0.028), thrombus area 1.1 cm2 vs. 0.8 cm2; p = 0.005] and the duration of UFH treatment (15.1 vs. 11.8 (days); p = 0.005) were significantly higher in the unsuccessful UFH group.In multivariate regression analyses the presence of obstruction (RR: 3.088, p = 0.020), increased thrombus area (RR: 2.400; p = 0.015), and increased duration of UFH therapy (RR: 1.073 95%, p = 0.012) were identified as independent predictive parameters for a failed UFH therapy. CONCLUSIONS: This study suggests that UFH therapy may be considered a relatively beneficial treatment strategy for some patients with PVT. The most significant factors affecting success are the obstructive nature and area of the thrombus.

Transcatheter Mitral Valve Therapies in Patients with Mitral Annular Calcification.

Mitral annular calcification is a chronic process involving degeneration and calcium deposition within the fibrous skeleton of the mitral valve annulus, which can lead to mitral valve dysfunction. It can be asymptomatic, or it can have pathologic sequelae leading to cardiovascular morbidity and mortality. Mitral annular calcification is increasingly recognized with the advancement of diagnostic imaging modalities, especially in an era with a growing elderly population. Its presence poses considerable challenges in terms of surgical and transcatheter management. Multiple surgical and transcatheter techniques have been developed to overcome these challenges. New transcatheter technologies are under investigation to tackle this problem.

Cardiac evaluation in pregnant patients with dyspnea and palpitations.

BACKGROUND: Symptoms of underlying cardiac disease in pregnancy can often be mistaken for common complaints because of normal physiological changes in pregnancy. Echocardiographic evaluation of patients with symptoms of palpitations and dyspnea can detect structural changes and identify high-risk features. OBJECTIVE: This study aimed to examine transthoracic echocardiograms of perinatal individuals completed for palpitations or dyspnea to determine the frequency of identifying structural changes. STUDY DESIGN: This was a retrospective cohort study of all perinatal individuals with a transthoracic echocardiogram at a single academic center between October 1, 2017, and May 1, 2022. The indication for the echocardiogram, demographics, and clinical characteristics were recorded. Transthoracic echocardiograms with any abnormal findings noted in the transthoracic echocardiogram report were reviewed and categorized into findings of congenital heart disease, valvular disease, pericardial effusion, evidence of ischemia or wall motion abnormalities, abnormal diastolic or systolic function, and other. RESULTS: Of 539 transthoracic echocardiograms completed on 478 individuals who were pregnant or in the 12-week postpartum period, 96 (17.8%) had an indication of palpitations, and 32 (5.9%) had an indication of dyspnea. Abnormal findings were seen in 21.9% of patients with palpitations and in 34.4% of patients with dyspnea. In patients with palpitations who had abnormal findings, 33.3% had congenital heart disease; 33.3% had mild valvular disease, including mitral valve prolapse; 19.0% had a pericardial effusion; and 14.3% had evidence of ischemia or wall motion defects. Abnormal transthoracic echocardiogram findings in the dyspnea cohort included ischemia or wall motion defects (27.3%), mild valvular disease or mitral valve prolapse (36.4%), and abnormal systolic or diastolic function (36.4%). CONCLUSION: Many of the transthoracic echocardiograms completed for patients with dyspnea or palpitations identified no structural abnormality; however, in 1 of 3 to 1 of 4 patients, underlying structural heart disease was identified. Although some of these abnormalities were unlikely to change delivery plans, such as mild valvular disease or small effusions, other abnormalities, such as ischemia, congenital abnormalities, and abnormal systolic or diastolic function, were likely to have implications for pregnancy and postpartum management.

The future of valvular heart disease assessment and therapy.

Valvular heart disease (VHD) is becoming more prevalent in an ageing population, leading to challenges in diagnosis and management. This two-part Series offers a comprehensive review of changing concepts in VHD, covering diagnosis, intervention timing, novel management strategies, and the current state of research. The first paper highlights the remarkable progress made in imaging and transcatheter techniques, effectively addressing the treatment paradox wherein populations at the highest risk of VHD often receive the least treatment. These advances have attracted the attention of clinicians, researchers, engineers, device manufacturers, and investors, leading to the exploration and proposal of treatment approaches grounded in pathophysiology and multidisciplinary strategies for VHD management. This Series paper focuses on innovations involving computational, pharmacological, and bioengineering approaches that are transforming the diagnosis and management of patients with VHD. Artificial intelligence and digital methods are enhancing screening, diagnosis, and planning procedures, and the integration of imaging and clinical data is improving the classification of VHD severity. The emergence of artificial intelligence techniques, including so-called digital twins-eg, computer-generated replicas of the heart-is aiding the development of new strategies for enhanced risk stratification, prognostication, and individualised therapeutic targeting. Various new molecular targets and novel pharmacological strategies are being developed, including multiomics-ie, analytical methods used to integrate complex biological big data to find novel pathways to halt the progression of VHD. In addition, efforts have been undertaken to engineer heart valve tissue and provide a living valve conduit capable of growth and biological integration. Overall, these advances emphasise the importance of early detection, personalised management, and cutting-edge interventions to optimise outcomes amid the evolving landscape of VHD. Although several challenges must be overcome, these breakthroughs represent opportunities to advance patient-centred investigations.

Valvular Heart Disease.

Valvular heart disease is a common abnormality seen in the primary care setting. There are many causes of valvular heart disease including congenital, degenerative, infectious, traumatic, and many more. There is a wide variety of types of valvular heart disease with each valve having the ability to develop both regurgitation and stenosis by multiple mechanisms. All these complexities make diagnosis and management of valvular heart disease complicated, especially in the context of comorbidities. For this reason, it is important for primary care physicians to have a thorough understanding of how these diseases present and when interventions are indicated.

Guidelines for the Evaluation of Prosthetic Valve Function With Cardiovascular Imaging: A Report From the American Society of Echocardiography Developed in Collaboration With the Society for Cardiovascular Magnetic Resonance and the Society of Cardiovascular Computed Tomography.

In patients with significant cardiac valvular disease, intervention with either valve repair or valve replacement may be inevitable. Although valve repair is frequently performed, especially for mitral and tricuspid regurgitation, valve replacement remains common, particularly in adults. Diagnostic methods are often needed to assess the function of the prosthesis. Echocardiography is the first-line method for noninvasive evaluation of prosthetic valve function. The transthoracic approach is complemented with two-dimensional and three-dimensional transesophageal echocardiography for further refinement of valve morphology and function when needed. More recently, advances in computed tomography and cardiac magnetic resonance have enhanced their roles in evaluating valvular heart disease. This document offers a review of the echocardiographic techniques used and provides recommendations and general guidelines for evaluation of prosthetic valve function on the basis of the scientific literature and consensus of a panel of experts. This guideline discusses the role of advanced imaging with transesophageal echocardiography, cardiac computed tomography, and cardiac magnetic resonance in evaluating prosthetic valve structure, function, and regurgitation. It replaces the 2009 American Society of Echocardiography guideline on prosthetic valves and complements the 2019 guideline on the evaluation of valvular regurgitation after percutaneous valve repair or replacement.

Transformer-Based Spatio-Temporal Analysis for Classification of Aortic Stenosis Severity From Echocardiography Cine Series.

Aortic stenosis (AS) is characterized by restricted motion and calcification of the aortic valve and is the deadliest valvular cardiac disease. Assessment of AS severity is typically done by expert cardiologists using Doppler measurements of valvular flow from echocardiography. However, this limits the assessment of AS to hospitals staffed with experts to provide comprehensive echocardiography service. As accurate Doppler acquisition requires significant clinical training, in this paper, we present a deep learning framework to determine the feasibility of AS detection and severity classification based only on two-dimensional echocardiographic data. We demonstrate that our proposed spatio-temporal architecture effectively and efficiently combines both anatomical features and motion of the aortic valve for AS severity classification. Our model can process cardiac echo cine series of varying length and can identify, without explicit supervision, the frames that are most informative towards the AS diagnosis. We present an empirical study on how the model learns phases of the heart cycle without any supervision and frame-level annotations. Our architecture outperforms state-of-the-art results on a private and a public dataset, achieving 95.2% and 91.5% in AS detection, and 78.1% and 83.8% in AS severity classification on the private and public datasets, respectively. Notably, due to the lack of a large public video dataset for AS, we made slight adjustments to our architecture for the public dataset. Furthermore, our method addresses common problems in training deep networks with clinical ultrasound data, such as a low signal-to-noise ratio and frequently uninformative frames. Our source code is available at: https://github.com/neda77aa/FTC.git.

Coronary artery disease in patients with rheumatic valvular heart disease- An analysis from eastern India.

INTRODUCTION: There is insufficient information on the angiographic characteristics of individuals with rheumatic valvular heart disease (VHD) from eastern India. The objective of this research is to gather important data in this area to aid the best surgical outcomes for patients with rheumatic VHD. MATERIALS AND METHODS: 978 consecutive patients with rheumatic VHD, scheduled for surgical intervention, were recruited. RESULT AND CONCLUSION: Mitral valve involvement was observed in 66.1 %, aortic valve in 7.3 % and both valves in 26.6 %. Patients with CAD had significantly higher proportions of severe aortic stenosis (AS). Therefore, addressing the risk factors for CAD is crucial in patients with rheumatic VHD.

Functionally unicuspid aortic valve in an adult: Case report and literature review.

Aortic stenosis is one of the most prevalent cardiac valvular diseases throughout the world and has a significant impact on quality of life. While there are several etiologies, we will be discussing the case of a male in his mid-thirties of southeast Asian descent with a bicuspid aortic valve which was found to be functionally unicuspid and complicated by aortic dilation. Following a comprehensive review of literature, it appears this subset of aortic stenosis is not commonly encountered. In addition to presenting this fascinating case, we will review the epidemiology, classification and management of aortic stenosis. Furthermore, we will examine the latest evidence-based literature on bicuspid aortic valve and unicuspid aortic valve and discuss interventions and diagnostic tools that may improve clinical prognosis.

Valvular heart disease and cardiomyopathy: reappraisal of their interplay.

Cardiomyopathies and valvular heart diseases are typically considered distinct diagnostic categories with dedicated guidelines for their management. However, the interplay between these conditions is increasingly being recognized and they frequently coexist, as in the paradigmatic examples of dilated cardiomyopathy and hypertrophic cardiomyopathy, which are often complicated by the occurrence of mitral regurgitation. Moreover, cardiomyopathies and valvular heart diseases can have a shared aetiology because several genetic or acquired diseases can affect both the cardiac valves and the myocardium. In addition, the association between cardiomyopathies and valvular heart diseases has important prognostic and therapeutic implications. Therefore, a better understanding of their shared pathophysiological mechanisms, as well as of the prevalence and predisposing factors to their association, might lead to a different approach in the risk stratification and management of these diseases. In this Review, we discuss the different scenarios in which valvular heart diseases and cardiomyopathies coexist, highlighting the need for an improved classification and clustering of these diseases with potential repercussions in the clinical management and, particularly, personalized therapeutic approaches.

Meta-Analysis of the Performance of AI-Driven ECG Interpretation in the Diagnosis of Valvular Heart Diseases.

Valvular heart diseases (VHDs) significantly impact morbidity and mortality rates worldwide. Early diagnosis improves patient outcomes. Artificial intelligence (AI) applied to electrocardiogram (ECG) interpretation presents a promising approach for early VHD detection. We conducted a meta-analysis on the efficacy of AI models in this context. We reviewed databases including PubMed, MEDLINE, Embase, Scopus, and Cochrane until August 20, 2023, focusing on AI for ECG-based VHD detection. The outcomes included pooled accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value. The pooled proportions were derived using a random-effects model with 95% confidence intervals (CIs). Study heterogeneity was evaluated with the I-squared statistic. Our analysis included 10 studies, involving ECG data from 713,537 patients. The AI algorithms mainly screened for aortic stenosis (n = 6), mitral regurgitation (n = 4), aortic regurgitation (n = 3), mitral stenosis (n = 1), mitral valve prolapse (n = 2), and tricuspid regurgitation (n = 1). A total of 9 studies used convolution neural network models, whereas 1 study combined the strengths of support vector machine logistic regression and multilayer perceptron for ECG interpretation. The collective AI models demonstrated a pooled accuracy of 81% (95% CI 73 to 89, I² = 92%), sensitivity was 83% (95% CI 77 to 88, I² = 86%), specificity was 72% (95% CI 68 to 75, I² = 52%), PPV was 13% (95% CI 7 to 19, I² = 90%), and negative predictive value was 99% (95% CI 97 to 99, I² = 50%). The subgroup analyses for aortic stenosis and mitral regurgitation detection yielded analogous outcomes. In conclusion, AI-driven ECG offers high accuracy in VHD screening. However, its low PPV indicates the need for a combined approach with clinical judgment, especially in primary care settings.

Diagnosis and Management of Aortic Diseases.

This JAMA Clinical Guidelines Synopsis summarizes the 2022 American College of Cardiology/American Heart Association guidelines for diagnosis and management of aortic disease.

Advances in diagnosis and treatment of mechanical hemolysis following percutaneous interventional for valvular heart diseases. / å¿ƒè„ç“£è†œç— ä»‹å ¥æ²»ç–—æœ¯åŽæœºæ¢°æ€§æº¶è¡€è¯Šç–—è¿›å±•.

Valvular heart disease is one of the common heart diseases in clinical practice, characterized by valve stenosis and/or incomplete closure. At present, drug therapy, surgery, and emerging percutaneous intervention therapy are the main treating methods for heart valve disease. Although the research and development of percutaneous intervention therapy devices is relatively mature, there are still problems such as postoperative mechanical hemolysis. The occurrence of mechanical hemolysis is associated with factors such as excessive shear stress experienced by red blood cells, direct interaction between red blood cells and the heart and valve surfaces, and thrombus formation. Furthermore, the presence of postoperative infection and other hemolytic diseases can also affect the occurrence of mechanical hemolysis. Although most patients are asymptomatic when hemolysis occurs, there are still critical cases. This type of hemolysis can accelerate the deterioration of the condition, and even endanger life in severe cases. Therefore, elucidating the background, pathogenesis, epidemiology, and related clinical research progress of mechanical hemolysis after percutaneous intervention therapy for valvular heart disease is of great significance for guiding the standardized diagnosis and treatment of the disease.

[Detection method of early heart valve diseases based on heart sound features].

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.

[Surgical concepts for atrial fibrillation in patients with concomitant mitral valve disease]. / Sravnitel'nyi analiz dvukh kontseptsii khirurgicheskogo lecheniya fibrillyatsii predserdii u patsientov s soputstvuyushchim porazheniem mitral'nogo klapana.

OBJECTIVE: To analyze in-hospital results after «Cox-maze III¼ and «Cox-maze IV¼ procedures with concomitant mitral valve surgery. MATERIAL AND METHODS: This study included patients who underwent «Cox-maze III¼ and «Cox-maze IV¼ procedures between January 2015 and February 2022. We distinguished 2 groups using propensity score matching: «Cox-maze III¼ group (n=15), «Cox-maze IV¼ group (n=14). All patients had preoperative atrial fibrillation: paroxysmal (3 (10.3%) patients), persistent (5 (17.2%)) and long-standing persistent (21 (72.4%) patients). Mean duration of AF before surgery was 11 [9-60] months in both groups. We used standard statistical methods using the IBM SPSS Statistics 26.0 software package (USA). RESULTS: Aortic cross-clamping time was significantly less in the «Cox-maze IV¼ group (p<0.001). There was no in-hospital mortality in both groups. Mean duration of mechanical ventilation was significantly less in the «Cox-maze IV¼ group (5 [3.5-9] vs. 14 [12-18] hours, respectively, p<0.001). Drainage output in the first postoperative day was significantly less in the «Cox-maze IV¼ group (295 [220-370] vs. 400 [325-500] ml, respectively, p=0.02). Temporary pacemaker was required in 73.3% and 42.8% of cases, respectively (p=0.03). CONCLUSION: We should emphasize high efficiency of sinus rhythm recovery after both procedures without significant difference (p=0.16). However, time of aortic cross-clamping, mechanical ventilation and volume of postoperative bleeding were significantly less in the «Cox-maze IV¼ group.