Transcatheter aortic valve replacement: Past, present, and future.
Akash SrinivasanFelyx WongBrian Xiangzhi WangPublished in: Clinical cardiology (2024)
Transcatheter aortic valve replacement (TAVR) has emerged as a ground-breaking, minimally invasive alternative to traditional open-heart surgery, primarily designed for elderly patients initially considered unsuitable for surgical intervention due to severe aortic stenosis. As a result of successful large-scale trials, TAVR is now being routinely applied to a broader spectrum of patients. In deciding between TAVR and surgical aortic valve replacement, clinicians evaluate various factors, including patient suitability and anatomy through preprocedural imaging, which guides prosthetic valve sizing and access site selection. Patient surgical risk is a pivotal consideration, with a multidisciplinary team making the ultimate decision in the patient's best interest. Periprocedural imaging aids real-time visualization but is influenced by anaesthesia choices. A comprehensive postprocedural assessment is critical due to potential TAVR-related complications. Numerous trials have demonstrated that TAVR matches or surpasses surgery for patients with diverse surgical risk profiles, ranging from extreme to low risk. However, long-term follow-up data, particularly in low-risk cases, remains limited, and the applicability of published results to younger patients is uncertain. This review delves into key TAVR studies, pinpointing areas for potential improvement while delving into the future of this innovative procedure. Furthermore, it explores the expanding role of TAVR technology in addressing other heart valve replacement procedures.
Keyphrases
- aortic stenosis
- transcatheter aortic valve replacement
- ejection fraction
- aortic valve replacement
- aortic valve
- minimally invasive
- transcatheter aortic valve implantation
- left ventricular
- end stage renal disease
- case report
- newly diagnosed
- heart failure
- randomized controlled trial
- palliative care
- coronary artery bypass
- prognostic factors
- coronary artery disease
- electronic health record
- machine learning
- risk factors
- systematic review
- antiretroviral therapy
- current status
- robot assisted
- patient reported outcomes
- deep learning
- big data