Detection and Diagnosis of Cardiac Amyloidosis in Egypt

Abstract

Plain Language Summary Diagnostic algorithms are useful tools for guiding clinical diagnosis by summarizing diagnostic approaches and defining the patient pathway. The diagnostic algorithms for cardiac amyloidosis amalgamate techniques that raise suspicion of the disease with those that can definitively diagnose the disease. These algorithms, for the early detection and diagnosis of cardiac amyloidosis, are designed in accordance with developed healthcare systems that have the resources and infrastructure for diagnostic equipment and clinical expertise. There are limited financial resources across healthcare facilities in Egypt for diagnostic equipment like echocardiograms (ECHO), scintigraphy, and cardiac magnetic resonance imaging (cMRI), and the required clinical training for the diagnosis of cardiac amyloidosis. This reduces the possibility of early diagnosis of the disease and subsequent early intervention. Evidently, there is a significant unmet clinical need to develop an algorithm for the diagnosis of cardiac amyloidosis in accordance with the Egyptian healthcare system. This review article details the current awareness regarding the diagnosis of cardiac amyloidosis and the associated challenges in Egypt. Accordingly, a diagnostic algorithm that leverages nuclear imaging expertise to guide accurate amyloid-typing in order to mitigate misdiagnosis and erroneous treatment, and also improve the diagnostic accuracy of cardiac amyloidosis, has been proposed.

Keywords

• Cardiac amyloidosis
• Diagnosis and subtyping
• Algorithm
• Electrocardiography
• Echocardiography
• Immunoelectrophoresis