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25 In-hospital Change in Lung Ultrasound Congestion Score Predicts Heart Failure Rehospitalization and Death: Implications for Clinical Trials

OBJECTIVES/GOALS: Lung Ultrasound Congestion Score (LUS-CS) is a proposed measure for guiding treatment in acute heart failure (AHF). An emergency department (ED) pilot trial of LUS-guided diuresis showed reduced LUS-CS at 48 hours but no difference at hospital discharge or for clinical outcomes. We...

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Autores principales: Harrison, Nicholas Eric, Desai, Ankit, Pang, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129485/
http://dx.doi.org/10.1017/cts.2023.122
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author Harrison, Nicholas Eric
Desai, Ankit
Pang, Peter
author_facet Harrison, Nicholas Eric
Desai, Ankit
Pang, Peter
author_sort Harrison, Nicholas Eric
collection PubMed
description OBJECTIVES/GOALS: Lung Ultrasound Congestion Score (LUS-CS) is a proposed measure for guiding treatment in acute heart failure (AHF). An emergency department (ED) pilot trial of LUS-guided diuresis showed reduced LUS-CS at 48 hours but no difference at hospital discharge or for clinical outcomes. We hypothesized total change in LUS-CS would predict adverse outcomes. METHODS/STUDY POPULATION: This was a post-hoc secondary analysis of the BLUSHED-AHF trial. BLUSHED-AHF was a pilot trial in which AHF patients were randomized to a LUS-guided diuresis strategy vs. usual care in the ED. The intervention was stopped after the ED course (i.e. during hospitalization). BLUSHED-AHF was designed for the intervention to target absolute values of LUS-CS over time, rather than change in LUS-CS from each patient’s baseline. We fit a cox regression model for a primary outcome of death or AHF rehospitalization, with total (ED to Hospital Discharge) change in LUS-CS as the primary predictor, adjusted for the Get-With-The-Guidelines heart failure risk score (GWTG). Survival curves were plotted, and hazard ratios calculated. RESULTS/ANTICIPATED RESULTS: 128 patients in BLUSHED-AHF were analyzed. Greater reduction in LUS-CS from ED to hospital discharge predicted event-free survival (HR = 0.74 for each 20 unit reduction in LUS-CS, 95%CI 0.56-0.99). This effect did not vary by hospitalization length or ED disposition. There was a significant interaction between change in LUS-CS and GWTG score (p DISCUSSION/SIGNIFICANCE: LUS-CS total change, and not absolute values, predict adverse events in LUS-guided diuresis. Post-ED cessation of the intervention in BLUSHED-AHF may have precluded opportunity for clinical benefit. Future trials should run the entire hospital course, target change from baseline, and consider patient selection by AHF severity and initial LUS-CS.
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spelling pubmed-101294852023-04-26 25 In-hospital Change in Lung Ultrasound Congestion Score Predicts Heart Failure Rehospitalization and Death: Implications for Clinical Trials Harrison, Nicholas Eric Desai, Ankit Pang, Peter J Clin Transl Sci Biostatistics, Epidemiology, and Research Design OBJECTIVES/GOALS: Lung Ultrasound Congestion Score (LUS-CS) is a proposed measure for guiding treatment in acute heart failure (AHF). An emergency department (ED) pilot trial of LUS-guided diuresis showed reduced LUS-CS at 48 hours but no difference at hospital discharge or for clinical outcomes. We hypothesized total change in LUS-CS would predict adverse outcomes. METHODS/STUDY POPULATION: This was a post-hoc secondary analysis of the BLUSHED-AHF trial. BLUSHED-AHF was a pilot trial in which AHF patients were randomized to a LUS-guided diuresis strategy vs. usual care in the ED. The intervention was stopped after the ED course (i.e. during hospitalization). BLUSHED-AHF was designed for the intervention to target absolute values of LUS-CS over time, rather than change in LUS-CS from each patient’s baseline. We fit a cox regression model for a primary outcome of death or AHF rehospitalization, with total (ED to Hospital Discharge) change in LUS-CS as the primary predictor, adjusted for the Get-With-The-Guidelines heart failure risk score (GWTG). Survival curves were plotted, and hazard ratios calculated. RESULTS/ANTICIPATED RESULTS: 128 patients in BLUSHED-AHF were analyzed. Greater reduction in LUS-CS from ED to hospital discharge predicted event-free survival (HR = 0.74 for each 20 unit reduction in LUS-CS, 95%CI 0.56-0.99). This effect did not vary by hospitalization length or ED disposition. There was a significant interaction between change in LUS-CS and GWTG score (p DISCUSSION/SIGNIFICANCE: LUS-CS total change, and not absolute values, predict adverse events in LUS-guided diuresis. Post-ED cessation of the intervention in BLUSHED-AHF may have precluded opportunity for clinical benefit. Future trials should run the entire hospital course, target change from baseline, and consider patient selection by AHF severity and initial LUS-CS. Cambridge University Press 2023-04-24 /pmc/articles/PMC10129485/ http://dx.doi.org/10.1017/cts.2023.122 Text en © The Association for Clinical and Translational Science 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/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.
spellingShingle Biostatistics, Epidemiology, and Research Design
Harrison, Nicholas Eric
Desai, Ankit
Pang, Peter
25 In-hospital Change in Lung Ultrasound Congestion Score Predicts Heart Failure Rehospitalization and Death: Implications for Clinical Trials
title 25 In-hospital Change in Lung Ultrasound Congestion Score Predicts Heart Failure Rehospitalization and Death: Implications for Clinical Trials
title_full 25 In-hospital Change in Lung Ultrasound Congestion Score Predicts Heart Failure Rehospitalization and Death: Implications for Clinical Trials
title_fullStr 25 In-hospital Change in Lung Ultrasound Congestion Score Predicts Heart Failure Rehospitalization and Death: Implications for Clinical Trials
title_full_unstemmed 25 In-hospital Change in Lung Ultrasound Congestion Score Predicts Heart Failure Rehospitalization and Death: Implications for Clinical Trials
title_short 25 In-hospital Change in Lung Ultrasound Congestion Score Predicts Heart Failure Rehospitalization and Death: Implications for Clinical Trials
title_sort 25 in-hospital change in lung ultrasound congestion score predicts heart failure rehospitalization and death: implications for clinical trials
topic Biostatistics, Epidemiology, and Research Design
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129485/
http://dx.doi.org/10.1017/cts.2023.122
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