How accurate are NT-proBNP, ANP, and cTnI levels in diagnosing dogs with myxomatous mitral valve disease?

Background: Myxomatous mitral valve disease (MMVD) is prevalent in dogs. Specialized diagnostics (radiography and echocardiography) may be unavailable in some veterinary settings. Cardiac biomarkers offer potential alternatives. Aim: This study evaluated the diagnostic value of N-terminal fragments of pro-brain natriuretic peptides (NT-proBNPs), atrial natriuretic peptides (ANPs), and cardiac troponin I (cTnI) levels in dogs with MMVD. Methods: 69 dogs with MMVD (asymptomatic and symptomatic) and 19 healthy controls were assessed. Biomarker levels were measured using commercial kit rapid tests. Results: Our results showed that the median NT-proBNP level in the symptomatic group was higher than those in the asymptomatic (p < 0.001) and control (p < 0.001) groups. Moreover, the median NT-proBNP level in the asymptomatic group was higher than that in the control group (p < 0.001). The cTnI level in the control group was lower than those in the asymptomatic (p = 0.039) and symptomatic (p = 0.001) groups. No statistically significant difference in the cTnI level was noted between the asymptomatic and symptomatic groups. The best cutoff value of the NT-proBNP level to differentiate the normal controls from dogs with MMVD with or without congestive heart failure was > 505.65 pmol/l [sensitivity, 76.8%; specificity, 89.5%; and area under the curve (AUC), 0.862]. The suggested cutoff value of the NT-proBNP level to differentiate symptomatic MMVD from asymptomatic MMVD was >787.65 pmol/l (sensitivity, 78.38%; specificity, 72.55%; and AUC, 0.792). Conclusion: NT-proBNP and cTnI may serve as point-of-care tests for dyspneic dogs, aiding MMVD assessment where specialized diagnostics are limited.

2024 CSANZ Position Statement on Indications, Assessment and Monitoring of Structural and Valvular Heart Disease With Transthoracic Echocardiography in Adults.

Transthoracic echocardiography (TTE) is the most widely available and utilised imaging modality for the screening, diagnosis, and serial monitoring of all abnormalities related to cardiac structure or function. The primary objectives of this document are to provide (1) a guiding framework for treating clinicians of the acceptable indications for the initial and serial TTE assessments of the commonly encountered cardiovascular conditions in adults, and (2) the minimum required standard for TTE examinations and reporting for imaging service providers. The main areas covered within this Position Statement pertain to the TTE assessment of the left and right ventricles, valvular heart diseases, pericardial diseases, aortic diseases, infective endocarditis, cardiac masses, pulmonary hypertension, and cardiovascular diseases associated with cancer treatments or cardio-oncology. Facilitating the optimal use and performance of high quality TTEs will prevent the over or under-utilisation of this resource and unnecessary downstream testing due to suboptimal or incomplete studies.

Comprehensive clinical application analysis of artificial intelligence-enabled electrocardiograms for screening multiple valvular heart diseases.

BACKGROUND: Valvular heart disease (VHD) is becoming increasingly important to manage the risk of future complications. Electrocardiographic (ECG) changes may be related to multiple VHDs, and (AI)-enabled ECG has been able to detect some VHDs. We aimed to develop five deep learning models (DLMs) to identify aortic stenosis, aortic regurgitation, pulmonary regurgitation, tricuspid regurgitation, and mitral regurgitation. METHODS: Between 2010 and 2021, 77,047 patients with echocardiography and 12-lead ECG performed within 7 days were identified from an academic medical center to provide DLM development (122,728 ECGs), and internal validation (7,637 ECGs). Additional 11,800 patients from a community hospital were identified to external validation. The ECGs were classified as with or without moderate-to-severe VHDs according to transthoracic echocardiography (TTE) records, and we also collected the other echocardiographic data and follow-up TTE records to identify new-onset valvular heart diseases. RESULTS: AI-ECG adjusted for age and sex achieved areas under the curves (AUCs) of >0.84, >0.80, >0.77, >0.83, and >0.81 for detecting aortic stenosis, aortic regurgitation, pulmonary regurgitation, tricuspid regurgitation, and mitral regurgitation, respectively. Since predictions of each DLM shared similar components of ECG rhythms, the positive findings of each DLM were highly correlated with other valvular heart diseases. Of note, a total of 37.5-51.7% of false-positive predictions had at least one significant echocardiographic finding, which may lead to a significantly higher risk of future moderate-to-severe VHDs in patients with initially minimal-to-mild VHDs. CONCLUSION: AI-ECG may be used as a large-scale screening tool for detecting VHDs and a basis to undergo an echocardiography.

A review regarding the article 'Prevalence of Valvular Heart Disease in Cardiac Amyloidosis and Impact on Survival'.

Cardiac amyloidosis (CA) is a condition characterized by the accumulation of amyloid fibrils in the heart muscle, resulting in an infiltrative cardiomyopathy. The presence of amyloid protein can impact different parts of the heart, including the valves. Limited data is available on the prevalence and prognostic significance of valvular heart disease (VHD) in CA. However, advancements in imaging technology have allowed for accurate noninvasive diagnosis of CA, eliminating the need for confirmatory endomyocardial biopsy and improving our understanding of this dual pathology. The development of targeted drug therapies for CA and transcatheter valve replacement or repair for VHD has significantly improved the prognosis for patients with both conditions. This review will discuss the findings of this original research and provide an overview of current researches on VHD in CA, as well as the progress in diagnosing and treating CA with VHD.

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).

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.

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.

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.

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.

Tropheryma whipplei Endocarditis Presenting as Valvulopathy and Multiple Septic Emboli.

A 63-year-old man was admitted to the hospital for nausea, vomiting, and right flank pain. He was found to have septic emboli in multiple organs secondary to aortic valve endocarditis. He was started on broad-spectrum antibiotics and underwent valve replacement. Blood cultures from admission were negative, but a blood polymerase chain reaction (PCR) test for fastidious difficult-to-culture pathogens showed a positive result for Tropheryma whipplei. Valve histopathological evaluation confirmed Tropheryma whipplei endocarditis. He was treated with intravenous penicillin followed by oral trimethoprim-sulfamethoxazole. A high index of suspicion for causes of culture-negative endocarditis needs to be maintained when blood cultures are negative despite clear evidence of endocarditis especially with large vegetation sizes and other complications such as septic emboli. Multiple imaging modalities are available to assist with diagnosis including transthoracic and transesophageal echocardiogram as well as cardiac computed tomography. A blood PCR test can identify the implicated pathogen in a more expeditious manner compared to valve histopathological evaluation. Treatment is complex and usually requires surgical intervention and prolonged antimicrobial therapy.

Tricuspid regurgitation: Frequency, clinical presentation, management and outcome among patients with severe left-sided valvular heart disease in Europe. Insights from the ESC-EORP Valvular Heart Disease II survey.

AIMS: Tricuspid regurgitation (TR) is commonly observed in patients with severe left-sided valvular heart disease (VHD). This study sought to assess TR frequency, management and outcome in this population. METHODS AND RESULTS: Among 6883 patients with severe native left-sided VHD or previous left-sided valvular intervention enrolled in the EURObservational Research Programme prospective VHD II survey, moderate or severe TR was very frequent in patients with severe mitral VHD (30% when mitral stenosis, 36% when mitral regurgitation [MR]), especially in patients with secondary MR (46%), and rare in patients with severe aortic VHD (4% when aortic stenosis, 3% when aortic regurgitation). An increase in TR grade was associated with a more severe clinical presentation and a poorer 6-month survival (p < 0.0001). Rates of concomitant tricuspid valve (TV) intervention at the time of left-sided heart valve surgery were high at the time of mitral valve surgery (50% when mitral stenosis, 41% when MR). Concordance between class I indications (patients with severe TR) for concomitant TV surgery at the time of left-sided valvular heart surgery according to guidelines and real-practice decision-making was very good (88% overall, 95% in patients operated on for MR). CONCLUSION: In this large international prospective survey among patients with severe left-sided VHD, moderate/severe TR was frequent in patients with mitral valve disease and was associated with a poorer outcome as TR grade increased. In patients with severe TR, compliance to guidelines for class I indications for concomitant TV surgery at the time of left-sided heart valve surgery was very good.

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.

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.

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.