Health-related quality of life is an independent predictor of mortality and hospitalisations in transthyretin amyloid cardiomyopathy: a prospective cohort study

Author:

Poledniczek MichaelORCID,Kronberger ChristinaORCID,Willixhofer RobinORCID,Ermolaev Nikita,Cherouny Bernhard,Dachs Theresa-MarieORCID,Rettl RenéORCID,Binder-Rodriguez ChristinaORCID,Camuz Ligios Luciana,Gregshammer Bernhard,Kammerlander Andreas AnselmORCID,Kastner Johannes,Bergler-Klein JuttaORCID,Duca FranzORCID,Badr Eslam RozaORCID

Abstract

Abstract Purpose Transthyretin amyloid cardiomyopathy (ATTR-CM) is associated with severely impaired health-related quality of life (HRQL). HRQL is an independent predictor of outcome in heart failure (HF), but data on patients with ATTR-CM is scarce. This study therefore aims to evaluate the association of HRQL with outcome in ATTR-CM. Methods Patients from our prospective ATTR-CM registry were assessed using the Kansas City cardiomyopathy questionnaire (KCCQ), the Minnesota living with HF questionnaire (MLHFQ), and the EuroQol five dimensions questionnaire (EQ-5D). Cox regression analysis was utilised to assess the impact of HRQL on all-cause mortality. Results 167 patients [80 years; interquartile range (IQR): 76–84; 80.8% male] were followed for a median of 27.6 (IQR: 9.7–41.8) months. The primary endpoint of all-cause mortality was met by 43 (25.7%) patients after a median period of 16.2 (IQR: 9.1–28.1) months. In a univariate Cox regression for mortality, a 10-point change in the KCCQ implied a hazard ratio (HR) of 0.815 [95%-confidence interval (CI): 0.725–0.916; p = 0.001], in the EQ-5D VAS of 0.764 (95%-CI: 0.656–0.889; p < 0.001), and 1.163 (95%-CI: 1.114–1.433; p < 0.001) in the MLHFQ. After adjustment for established biomarkers of HF, all-cause mortality was predicted independently by the EQ-5D VAS (HR: 0.8; 95%-CI: 0.649–0.986; p = 0.037; per 10 points) and the MLHFQ (HR: 1.228; 95%-CI: 1.035–1.458; p = 0.019; per 10 points). Conclusion HRQL is a predictor of outcome in ATTR-CM. The EQ-5D VAS and the MLHFQ predict survival independent of biomarkers of HF.

Funder

Medical University of Vienna

Publisher

Springer Science and Business Media LLC

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