Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-19T02:39:44.443Z Has data issue: false hasContentIssue false

248 Use of a Propensity Score to Examine Association between Rates of In-Hospital Decongestion and Mortality and Cardiovascular Outcomes Among Patients admitted for Acute Heart Failure

Published online by Cambridge University Press:  19 April 2022

Wendy McCallum
Affiliation:
Tufts Medical Center
Hocine Tighiouart
Affiliation:
Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts; Tufts Clinical and Translational Science Institute, Tufts University
Jeffrey M. Testani
Affiliation:
Division of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut
Matthew Griffin
Affiliation:
Division of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut
Marvin A. Konstam
Affiliation:
Division of Cardiology and the CardioVascular Center, Tufts Medical Center, Boston, Massachusetts
James E. Udelson
Affiliation:
Division of Cardiology and the CardioVascular Center, Tufts Medical Center, Boston, Massachusetts
Mark J. Sarnak
Affiliation:
Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

OBJECTIVES/GOALS: Decongestion, or fluid removal, is an important goal in the management of acute heart failure (AHF) among patients with heart failure with reduced ejection fraction (HFrEF). We sought to examine whether the rate of decongestion is associated with mortality and cardiovascular (CV) outcomes. METHODS/STUDY POPULATION: Using data from the Efficacy of Vasopressin Antagonism in Heart Failure Outcome Study With Tolvaptan (EVEREST) trial (n=4133), we evaluated the rate of decongestion by using linear mixed models to derive the in-hospital slope of b-type natriuretic peptide (BNP) and hematocrit as proxies of volume overload and hemoconcentration, respectively. A propensity score was developed to match patients from the quartile with most rapid rates of decongestion to the three quartiles with slower rates. Cox proportional hazards regression models were fitted to assess the association between rate of decongestion with risk of all-cause mortality and a composite of CV mortality or AHF hospitalization. RESULTS/ANTICIPATED RESULTS: Slower rates of in-hospital decongestion were associated with increased risk of both outcomes over a median 10-month follow-up. Those with slower rates of BNP decline, in comparison to the propensity-score matched patients with the most rapid rates of BNP decline, had higher hazards of mortality (HR=1.73 [1.23, 2.42]) and the composite outcome (HR=1.48 [1.18, 1.86]). Those with slower rates of hematocrit increase, in comparison to the propensity-score matched patients with the most rapid rates of hematocrit increase, showed a trend toward higher hazard of mortality (HR=1.17 [0.95, 1.43]) and an increased risk of the composite outcome (HR=1.26 [1.08, 1.47]). DISCUSSION/SIGNIFICANCE: Among patients with HFrEF admitted for AHF, slower rates of decongestion are associated with increased risk of mortality, CV mortality and AHF hospitalization. It remains unknown whether more rapid decongestion provides cardiovascular benefit or if it serves as a proxy for less treatment resistant heart failure.

Type
Valued Approaches
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2022. The Association for Clinical and Translational Science