Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-25 @ 12:37 AM
Ignite Modification Date:
2025-12-25 @ 12:37 AM
NCT ID:
NCT06186167
Brief Summary:
This single-practice prospective cohort study aims to enhance the diagnosis of cardiac amyloidosis in high-risk patients undergoing standard cardiac device implantation. By analyzing chest wall fat tissue, which is usually discarded, we aim to determine the diagnostic yield of such biopsies for amyloidosis and to develop a predictive screening model based on clinical, lab, and imaging data. The study, running from December 2023 to December 2024, expects to enroll 100 patients and may provide a new, non-invasive diagnostic avenue for this condition.
Detailed 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.
Study:
NCT06186167
Study Brief:
Protocol Section:
NCT06186167