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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Format: | Article |
Language: | English |
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Cambridge University Press
2023-04-01
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Series: | Journal of Clinical and Translational Science |
Online Access: | https://www.cambridge.org/core/product/identifier/S205986612300122X/type/journal_article |
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author | Nicholas Eric Harrison Ankit Desai Peter Pang |
author_facet | Nicholas Eric Harrison Ankit Desai Peter Pang |
author_sort | Nicholas Eric Harrison |
collection | DOAJ |
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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institution | Directory Open Access Journal |
issn | 2059-8661 |
language | English |
last_indexed | 2024-04-09T16:16:28Z |
publishDate | 2023-04-01 |
publisher | Cambridge University Press |
record_format | Article |
series | Journal of Clinical and Translational Science |
spelling | doaj.art-de07dcfcb53f4f4b8c22d43e778fc2262023-04-24T05:55:54ZengCambridge University PressJournal of Clinical and Translational Science2059-86612023-04-0177710.1017/cts.2023.12225 In-hospital Change in Lung Ultrasound Congestion Score Predicts Heart Failure Rehospitalization and Death: Implications for Clinical TrialsNicholas Eric Harrison0Ankit Desai1Peter Pang2Indiana University School of MedicineIndiana University School of MedicineIndiana University School of MedicineOBJECTIVES/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.https://www.cambridge.org/core/product/identifier/S205986612300122X/type/journal_article |
spellingShingle | Nicholas Eric Harrison Ankit Desai Peter Pang 25 In-hospital Change in Lung Ultrasound Congestion Score Predicts Heart Failure Rehospitalization and Death: Implications for Clinical Trials Journal of Clinical and Translational Science |
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 |
url | https://www.cambridge.org/core/product/identifier/S205986612300122X/type/journal_article |
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