Computer Algorithm for Early Cardiac Amyloidosis Detection

Heart failure is a major health problem, and one of its causes is a condition called transthyretin cardiac amyloidosis (ATTR-CA), where abnormal proteins build up in the heart. This study focuses on identifying patients with this condition before it becomes severe, using a computer algorithm. The goal is to locate patients who may have cardiac amyloidosis but haven't been diagnosed yet. By diagnosing the condition early, it may be possible to provide better treatment and improve outcomes for those affected. This study targets patients at the Columbia University Irving Medical Center to find those with a high likelihood of having cardiac amyloidosis. Participants identified by the algorithm will undergo further testing to confirm the presence of cardiac amyloidosis. The diagnostic process involves sophisticated imaging tests like a SPECT scan to check for protein deposits in the heart and additional tests to rule out other types of amyloidosis. Some patients may need a biopsy, where a small tissue sample is taken to check for the protein buildup. The study measures success by accurately identifying patients who have the condition, to ensure timely and appropriate treatment. Although the study doesn't directly provide treatment, it plays a crucial role in catching the disease early, which can be beneficial for managing symptoms and improving quality of life.