Description

The study targets a key gap in cardiac amyloidosis diagnosis by systematically evaluating the histopathological incidence of the disease using chest wall fat pad biopsies-tissue that is typically discarded during the implantation of cardiac devices like pacemakers, ICDs, and CRT-D/Ps. Standard surgical procedures are adhered to, ensuring minimal additional risk to patients. The collected tissue samples are analyzed by the HCA pathology laboratory to detect amyloid deposits, thereby potentially identifying amyloidosis in a non-invasive manner. In addition to the primary endpoint of histopathological diagnosis, the study retrospectively aims to validate a predictive model that incorporates a wide range of data to streamline the identification of patients at high risk for cardiac amyloidosis. Strict measures are in place to protect patient confidentiality and data security. By potentially improving diagnostic efficiency, this research could contribute to earlier detection and treatment strategies, thus improving patient outcomes for those at high risk of this life-threatening condition.