Hepatic T1-Time Predicts Cardiovascular Risk in All-Comers Referred for Cardiovascular Magnetic Resonance: A Post-Hoc Analysis

Autor: Katharina Mascherbauer, Carolina Donà, Matthias Koschutnik, Varius Dannenberg, Christian Nitsche, Franz Duca, Gregor Heitzinger, Kseniya Halavina, Eva Steinacher, Christina Kronberger, Constanze Bardach, Dietrich Beitzke, Christian Loewe, Elisabeth Waldmann, Michael Trauner, Philipp Bartko, Georg Goliasch, Julia Mascherbauer, Christian Hengstenberg, Andreas Kammerlander
Rok vydání: 2022
Předmět:
Zdroj: Circulation. Cardiovascular imaging. 15(10)
ISSN: 1942-0080
Popis: Background: Liver damage is frequently observed in patients with cardiovascular disease but infrequently quantified. We hypothesized that in patients with cardiovascular disease undergoing cardiac magnetic resonance, liver T1-times indicate liver damage and are associated with cardiovascular outcome. Methods: We measured hepatic T1-times, displayed on standard cardiac T1-maps, in an all-comer cardiac magnetic resonance-cohort. At the time of cardiac magnetic resonance, we assessed validated general liver fibrosis scores. Kaplan-Meier estimates and Cox-regression models were used to investigate the association between hepatic T1-times and a composite endpoint of non-fatal myocardial infarction, heart failure hospitalization, and death. Results: One thousand seventy-five participants (58±18 year old, 47% female) were included (972 patients, 50 controls, 53 participants with transient elastography). Hepatic T1-times were 590±89 ms in patients and 574±45 ms in controls ( P =0.052). They were significantly correlated with cardiac size and function, presence of atrial fibrillation, NT-pro-BNP levels, and gamma-glutamyl-transferase levels ( P P Conclusions: Hepatic T1-times on standard cardiac magnetic resonance scans were significantly associated with cardiac size and function, comorbidities, natriuretic peptides, and independently predicted cardiovascular mortality and morbidity. A hepatic T1-time >610 ms seems to indicate excessive risk. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT04220450.
Databáze: OpenAIRE