Introduction: There is little published regarding the association between canine cardiovascular disease and the hepatic system. The objective of the study was to evaluate the relationship between hepatic parameters, survival, and disease stages of dogs with either dilated cardiomyopathy (DCM) or degenerative valvular disease (DVD).
Animals, Materials, And Methods: Retrospective study analyzing hepatic parameters in dogs with DVD or DCM in American College of Veterinary Internal Medicine stage B or C and healthy control dogs. Associations between liver parameters, type and stage of disease, and survival were investigated.
Results: Ninety-nine dogs were included in the study: 61 DVD, 22 DCM, and 16 controls. Differences in liver parameter concentrations between DCM, DVD, and disease stages were found. Univariate analysis identified alanine aminotransferase (P < 0.001), aspartate aminotransferase (P = 0.02), and total bilirubin (P = 0.005) as predictors of mortality. In the multivariate analysis, total bilirubin remained an independent predictor of mortality.
Conclusions: The observed differences between DCM, DVD, and disease stages are likely consistent with disease-specific hemodynamics and progression of disease. This and the role of total bilirubin as an independent predictor for mortality indicate that in dogs with DVD and DCM the cardiovascular-hepatic interaction might be of relevance for disease progression and outcome, as reported for humans with cardiac disease. Further studies into the role of hepatic function in canine cardiac disease are required.
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http://dx.doi.org/10.1016/j.jvc.2022.06.005 | DOI Listing |
J Cardiovasc Dev Dis
December 2024
2nd Cardiology Department, Interbalkan Medical Center, 55535 Thessaloniki, Greece.
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View Article and Find Full Text PDFIndian J Pathol Microbiol
January 2025
Department of Pathology (Cardiovascular and Thoracic Division), Seth GS Medical College Mumbai, Maharashtra, India.
The unicuspid unicommisural aortic valve is an uncommon congenital malformation that often manifests as stenosis with or without regurgitation in adults in their third to fifth decades of life. This report characterizes the morphological features of surgically excised unicuspid valves in adults with clinical correlation. Among the surgically excised aortic valves over a period of 10 years, the clinical data and morphological features of unicuspid aortic valves were analyzed.
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January 2025
Lancashire Cardiac Centre, Blackpool Teaching Hospitals NHS Foundation Trust, Blackpool, UK.
Background: Mitral regurgitation (MR) is a prevalent valvular abnormality categorized as primary or secondary based on aetiology. Surgical intervention, particularly mitral valve repair, is often preferred over replacement due to its association with better outcomes. However, the benefits of repair versus replacement, especially in secondary MR, remain debated.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Environmental Medicine, Poznan University of Medical Sciences, Poznan, Poland.
Aortic stenosis (AS) is a leading cause of surgical intervention in adults with acquired heart disease, driven by an aging population and advancements in diagnostic and treatment approaches. This study aimed to investigate levels of macroelements (Ca, K, Na, Mg, and P) in aortic valve tissues, serum, and epicardial fat in patients undergoing aortic valve replacement due to degenerative disease. Elemental composition was determined using inductively coupled plasma mass spectrometry.
View Article and Find Full Text PDFQuant Imaging Med Surg
December 2024
Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China.
Background: Mitral regurgitation (MR) is the most common form of valvular heart disease (VHD), and the accurate assessment of MR severity is critical for clinical management. However, the quantitative assessment of MR is intricate and time-consuming, posing challenges for physicians in ensuring the precision of the results. Thus, our objective was to create an automated and reproducible artificial intelligence (AI) system.
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