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Dynamic changes in cardiovascular and systemic parameters prior to sudden cardiac death in heart failure with reduced ejection fraction: a PARADIGM‐HF analysis

Aims Prognostic models of sudden cardiac death (SCD) typically incorporate data at only a single time‐point. We investigated independent predictors of SCD addressing the impact of integrating time‐varying covariates to improve prediction assessment. Methods and results We studied 8399 patients enrol...

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Published in:European journal of heart failure 2021-08, Vol.23 (8), p.1346-1356
Main Authors: Rohde, Luis E., Vaduganathan, Muthiah, Claggett, Brian L., Polanczyk, Carisi A., Dorbala, Pranav, Packer, Milton, Desai, Akshay S., Zile, Michael, Rouleau, Jean, Swedberg, Karl, Lefkowitz, Martin, Shi, Victor, McMurray, John J.V., Solomon, Scott D.
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Language:English
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Summary:Aims Prognostic models of sudden cardiac death (SCD) typically incorporate data at only a single time‐point. We investigated independent predictors of SCD addressing the impact of integrating time‐varying covariates to improve prediction assessment. Methods and results We studied 8399 patients enrolled in the PARADIGM‐HF trial and identified independent predictors of SCD (n = 561, 36% of total deaths) using time‐updated multivariable‐adjusted Cox models, classification and regression tree (CART), and logistic regression analysis. Compared with patients who were alive or died from non‐sudden cardiovascular deaths, patients who suffered a SCD displayed a distinct temporal profile of New York Heart Association (NYHA) class, heart rate and levels of three biomarkers (albumin, uric acid and total bilirubin), with significant differences observed more than 1 year prior to the event (Pinteraction 
ISSN:1388-9842
1879-0844
DOI:10.1002/ejhf.2120