The Contemporary Role of Speckle Tracking Echocardiography in Cirrhotic Cardiomyopathy.
Yannis DimitroglouConstantina AggeliAlexandra AlexopoulouDimitrios TsartsalisDimitrios PatsourakosMarkos KoukosDimitris TousoulisKonstantinos TsioufisPublished in: Life (Basel, Switzerland) (2024)
Cirrhotic cardiomyopathy (CCM) is characterized by elevated cardiac output at rest, an inability to further increase contractility under stress, and diastolic dysfunction. The diagnosis of CCM is crucial as it can lead to complications during liver transplantation. However, its recognition poses challenges with conventional echocardiography techniques. Speckle tracking echocardiography (STE), particularly global longitudinal strain (GLS), is a novel index that enhances the diagnostic efficacy of echocardiography for both ischemic and non-ischemic cardiomyopathies. GLS proves more sensitive in identifying early systolic dysfunction and is also influenced by advanced diastolic dysfunction. Consequently, there is an expanding scope for GLS utilization in cirrhotic cases, with newly updated diagnostic criteria for CCM incorporating GLS. Specifically, systolic dysfunction is now defined as either a left ventricular ejection fraction below 50% or an absolute GLS below 18%. However, conflicting data on GLS alterations in liver cirrhosis patients persist, as many individuals with advanced disease and a poor prognosis exhibit a hyperdynamic state with preserved or increased GLS. Consequently, the presence of CCM, according to the updated criteria, does not exhibit a significant association-in the majority of studies-with the severity of liver disease and prognosis. Furthermore, information on other indices measured with STE, such as left atrial and right ventricular strain, is promising but currently limited. This review aims to offer a critical assessment of the existing evidence concerning the application of STE in patients with liver cirrhosis.
Keyphrases
- left ventricular
- left atrial
- ejection fraction
- aortic stenosis
- heart failure
- poor prognosis
- hypertrophic cardiomyopathy
- mitral valve
- cardiac resynchronization therapy
- acute myocardial infarction
- oxidative stress
- long non coding rna
- newly diagnosed
- end stage renal disease
- risk factors
- ischemia reperfusion injury
- healthcare
- computed tomography
- blood brain barrier
- chronic kidney disease
- artificial intelligence
- big data
- machine learning
- prognostic factors
- smooth muscle
- cross sectional