Cargando…

Remote dielectric sensing to detect acute heart failure in patients with dyspnoea: a prospective observational study in the emergency department

AIMS: Remote dielectric sensing (ReDS) enables quick estimation of lung fluid content. To examine if ReDS is superior to other methods in detecting acute heart failure. METHODS AND RESULTS: We included consecutive patients with dyspnoea from the emergency departments at Bispebjerg Hospital, Copenhag...

Descripción completa

Detalles Bibliográficos
Autores principales: Olesen, Anne Sophie Overgaard, Miger, Kristina, Fabricius-Bjerre, Andreas, Sandvang, Kathrine Dyrsting, Kjesbu, Ingunn Eklo, Sajadieh, Ahmad, Høst, Nis, Køber, Nana, Wamberg, Jesper, Pedersen, Lars, Schultz, Hans Henrik Lawaetz, Abild-Nielsen, Annemette Geilager, Wille, Mathilde Marie Winkler, Nielsen, Olav Wendelboe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731402/
https://www.ncbi.nlm.nih.gov/pubmed/36518260
http://dx.doi.org/10.1093/ehjopen/oeac073
_version_ 1784845892618027008
author Olesen, Anne Sophie Overgaard
Miger, Kristina
Fabricius-Bjerre, Andreas
Sandvang, Kathrine Dyrsting
Kjesbu, Ingunn Eklo
Sajadieh, Ahmad
Høst, Nis
Køber, Nana
Wamberg, Jesper
Pedersen, Lars
Schultz, Hans Henrik Lawaetz
Abild-Nielsen, Annemette Geilager
Wille, Mathilde Marie Winkler
Nielsen, Olav Wendelboe
author_facet Olesen, Anne Sophie Overgaard
Miger, Kristina
Fabricius-Bjerre, Andreas
Sandvang, Kathrine Dyrsting
Kjesbu, Ingunn Eklo
Sajadieh, Ahmad
Høst, Nis
Køber, Nana
Wamberg, Jesper
Pedersen, Lars
Schultz, Hans Henrik Lawaetz
Abild-Nielsen, Annemette Geilager
Wille, Mathilde Marie Winkler
Nielsen, Olav Wendelboe
author_sort Olesen, Anne Sophie Overgaard
collection PubMed
description AIMS: Remote dielectric sensing (ReDS) enables quick estimation of lung fluid content. To examine if ReDS is superior to other methods in detecting acute heart failure. METHODS AND RESULTS: We included consecutive patients with dyspnoea from the emergency departments at Bispebjerg Hospital, Copenhagen, and performed ReDS, low-dose chest computed tomography (CT), echocardiogram, lung ultrasound, NT-Pro-brain natriuretic peptide (NT-proBNP), and a Boston score evaluation (chest X-ray and clinical signs). ReDS values >35% were used as a cut-off to diagnose pulmonary congestion. Acute heart failure was adjudicated by experts’ review of health records but independently of ReDS values. Sub-analyses investigated ReDS in acute heart failure patients with congestion on CT. We included 97 patients within a median of 4.8 h from admittance: 25 patients (26%) were ReDS-positive and 39 (40%) had adjudicated acute heart failure (21 with and 18 without CT congestion). Heart failure patients had median ReDS 33%, left ventricular ejection fraction 48%, and NT-proBNP 2935 ng/L. A positive ReDS detected heart failure with 46% sensitivity, 88% specificity, and 71% accuracy. The AUC for ReDS was like the Boston score (P = 0.88) and the lung ultrasound score (P = 0.74). CT-congested heart failure patients had higher ReDS values than patients without heart failure (median 38 vs. 28%, P < 0.001). Heart failure patients without CT-congestion had ReDS values like patients without heart failure (mean 30 vs. 28%, P = 0.07). CONCLUSION: ReDS detects acute heart failure similarly to the Boston score and lung ultrasound score, and ReDS primarily identifies the acute heart failure patients who have congestion on a chest CT.
format Online
Article
Text
id pubmed-9731402
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-97314022022-12-13 Remote dielectric sensing to detect acute heart failure in patients with dyspnoea: a prospective observational study in the emergency department Olesen, Anne Sophie Overgaard Miger, Kristina Fabricius-Bjerre, Andreas Sandvang, Kathrine Dyrsting Kjesbu, Ingunn Eklo Sajadieh, Ahmad Høst, Nis Køber, Nana Wamberg, Jesper Pedersen, Lars Schultz, Hans Henrik Lawaetz Abild-Nielsen, Annemette Geilager Wille, Mathilde Marie Winkler Nielsen, Olav Wendelboe Eur Heart J Open Original Article AIMS: Remote dielectric sensing (ReDS) enables quick estimation of lung fluid content. To examine if ReDS is superior to other methods in detecting acute heart failure. METHODS AND RESULTS: We included consecutive patients with dyspnoea from the emergency departments at Bispebjerg Hospital, Copenhagen, and performed ReDS, low-dose chest computed tomography (CT), echocardiogram, lung ultrasound, NT-Pro-brain natriuretic peptide (NT-proBNP), and a Boston score evaluation (chest X-ray and clinical signs). ReDS values >35% were used as a cut-off to diagnose pulmonary congestion. Acute heart failure was adjudicated by experts’ review of health records but independently of ReDS values. Sub-analyses investigated ReDS in acute heart failure patients with congestion on CT. We included 97 patients within a median of 4.8 h from admittance: 25 patients (26%) were ReDS-positive and 39 (40%) had adjudicated acute heart failure (21 with and 18 without CT congestion). Heart failure patients had median ReDS 33%, left ventricular ejection fraction 48%, and NT-proBNP 2935 ng/L. A positive ReDS detected heart failure with 46% sensitivity, 88% specificity, and 71% accuracy. The AUC for ReDS was like the Boston score (P = 0.88) and the lung ultrasound score (P = 0.74). CT-congested heart failure patients had higher ReDS values than patients without heart failure (median 38 vs. 28%, P < 0.001). Heart failure patients without CT-congestion had ReDS values like patients without heart failure (mean 30 vs. 28%, P = 0.07). CONCLUSION: ReDS detects acute heart failure similarly to the Boston score and lung ultrasound score, and ReDS primarily identifies the acute heart failure patients who have congestion on a chest CT. Oxford University Press 2022-11-02 /pmc/articles/PMC9731402/ /pubmed/36518260 http://dx.doi.org/10.1093/ehjopen/oeac073 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Article
Olesen, Anne Sophie Overgaard
Miger, Kristina
Fabricius-Bjerre, Andreas
Sandvang, Kathrine Dyrsting
Kjesbu, Ingunn Eklo
Sajadieh, Ahmad
Høst, Nis
Køber, Nana
Wamberg, Jesper
Pedersen, Lars
Schultz, Hans Henrik Lawaetz
Abild-Nielsen, Annemette Geilager
Wille, Mathilde Marie Winkler
Nielsen, Olav Wendelboe
Remote dielectric sensing to detect acute heart failure in patients with dyspnoea: a prospective observational study in the emergency department
title Remote dielectric sensing to detect acute heart failure in patients with dyspnoea: a prospective observational study in the emergency department
title_full Remote dielectric sensing to detect acute heart failure in patients with dyspnoea: a prospective observational study in the emergency department
title_fullStr Remote dielectric sensing to detect acute heart failure in patients with dyspnoea: a prospective observational study in the emergency department
title_full_unstemmed Remote dielectric sensing to detect acute heart failure in patients with dyspnoea: a prospective observational study in the emergency department
title_short Remote dielectric sensing to detect acute heart failure in patients with dyspnoea: a prospective observational study in the emergency department
title_sort remote dielectric sensing to detect acute heart failure in patients with dyspnoea: a prospective observational study in the emergency department
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731402/
https://www.ncbi.nlm.nih.gov/pubmed/36518260
http://dx.doi.org/10.1093/ehjopen/oeac073
work_keys_str_mv AT olesenannesophieovergaard remotedielectricsensingtodetectacuteheartfailureinpatientswithdyspnoeaaprospectiveobservationalstudyintheemergencydepartment
AT migerkristina remotedielectricsensingtodetectacuteheartfailureinpatientswithdyspnoeaaprospectiveobservationalstudyintheemergencydepartment
AT fabriciusbjerreandreas remotedielectricsensingtodetectacuteheartfailureinpatientswithdyspnoeaaprospectiveobservationalstudyintheemergencydepartment
AT sandvangkathrinedyrsting remotedielectricsensingtodetectacuteheartfailureinpatientswithdyspnoeaaprospectiveobservationalstudyintheemergencydepartment
AT kjesbuingunneklo remotedielectricsensingtodetectacuteheartfailureinpatientswithdyspnoeaaprospectiveobservationalstudyintheemergencydepartment
AT sajadiehahmad remotedielectricsensingtodetectacuteheartfailureinpatientswithdyspnoeaaprospectiveobservationalstudyintheemergencydepartment
AT høstnis remotedielectricsensingtodetectacuteheartfailureinpatientswithdyspnoeaaprospectiveobservationalstudyintheemergencydepartment
AT købernana remotedielectricsensingtodetectacuteheartfailureinpatientswithdyspnoeaaprospectiveobservationalstudyintheemergencydepartment
AT wambergjesper remotedielectricsensingtodetectacuteheartfailureinpatientswithdyspnoeaaprospectiveobservationalstudyintheemergencydepartment
AT pedersenlars remotedielectricsensingtodetectacuteheartfailureinpatientswithdyspnoeaaprospectiveobservationalstudyintheemergencydepartment
AT schultzhanshenriklawaetz remotedielectricsensingtodetectacuteheartfailureinpatientswithdyspnoeaaprospectiveobservationalstudyintheemergencydepartment
AT abildnielsenannemettegeilager remotedielectricsensingtodetectacuteheartfailureinpatientswithdyspnoeaaprospectiveobservationalstudyintheemergencydepartment
AT willemathildemariewinkler remotedielectricsensingtodetectacuteheartfailureinpatientswithdyspnoeaaprospectiveobservationalstudyintheemergencydepartment
AT nielsenolavwendelboe remotedielectricsensingtodetectacuteheartfailureinpatientswithdyspnoeaaprospectiveobservationalstudyintheemergencydepartment