Haemorrhagic events in patients with transthyretin cardiac amyloidosis

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Authors: Lucia Moreno De Redrojo Cortés, Rocío Eiros Bachiller, Eric Arguelles, José Cristóbal Cañadas Salazar, Pablo Pérez Sánchez, Luis Miguel Rincón, Mónica García Monsalvo, Armando Oterino Manzanas, Elena Alejo Alonso, Daniel Alejandro Bracho Bracchitta, María Jesús Andrés Salinas, María de la Soledad García García
+3 more Ignacio Cruz‐González, Pedro Luis Sánchez Fernández, María Gallego Delgado
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Abstract

transthyretin cardiac amyloidosis (ATTR-CA) is an infiltrative disease associated with several comorbidities such as Bleeding. The aim of this study was to evaluate the incidence of bleeding in patients with ATTR-CA and the underlying risk factors that promote bleeding. retrospective observational study of a cohort of patients with ATTR-CA diagnosed from 1st April 2016 to 31st December 2023. Bleeding risk was calculated according to HAS-BLED score and bleeding events at follow-up were analysed. 184 patients were diagnosed with a median age of 84 years [IQR 79–88], 154 (84%) males. 118 patients (64%) were on anticoagulant therapy (AC). 91 patients (50%) had a bleeding event, with a total of 189 events recorded and a median time to bleeding of 23 months [IQR 10–68]. 26 patients (29%) had severe haemorrhages and 3 patients died of haemorrhagic causes. The incidence rate was 50 bleeds per 100 patient-years and 57 per 100 patient-years in AC patients. AC resulted in a 2.5-fold raise in bleeding (95% CI 1.4–4.8; p = .003) and a score ≥2 on HAS-BLED scale in a 5.4-fold increase (95%CI 2.6–11; p < .001). bleeding is a frequent complication in ATTR-CA, with a higher risk in those individuals with a HAS-BLED score ≥2 and/or on AC. These findings could be considered in risk stratification and therapeutic decision-making.

Fields of Study & Subjects

Amyloidosis: Diagnosis Treatment Outcomes Atrial Fibrillation Management and Outcomes Intracerebral and Subarachnoid Hemorrhage Research

Publication details

Journal / source
Figshare
Publication date
27 January 2026
Document type
Dataset