Aortic stenosis is an independent predictor for outcome in patients with in-hospital cardiac arrest.


Journal

Resuscitation
ISSN: 1873-1570
Titre abrégé: Resuscitation
Pays: Ireland
ID NLM: 0332173

Informations de publication

Date de publication:
04 2019
Historique:
received: 05 10 2018
revised: 11 12 2018
accepted: 28 01 2019
pubmed: 1 3 2019
medline: 6 5 2020
entrez: 1 3 2019
Statut: ppublish

Résumé

Prognostic tools for decision-making whether to continue advanced life support or limit life sustaining interventions in In-Hospital Cardiac Arrest (IHCA), remain scarce and inconclusive. In this regard it seems intuitive that the presence of aortic stenosis (AS) impacts on both central and peripheral perfusion during resuscitative attempts and might worsen outcome. Therefore, we aimed to investigate the prognostic value of AS on outcome after IHCA. Out of 11,641 patients presenting with acute coronary syndrome, a total of 151 patients were identified that received a standardized echocardiographic diagnostic immediately prior to an IHCA. Binary logistic regression analysis was used to elucidate the prognostic impact of AS on outcome. Within the entire study population, a total of 51 individuals with AS (mild: n = 19 [12.5%]; moderate: n = 11 [7.2%]; severe: n = 21 [13.8%]) were identified. We observed that 81% of patients with severe AS did not survive until hospital discharge. Additionally, the presence of AS showed a strong and independent inverse association with return of spontaneous circulation (adjusted odds ratio [OR] of 0.10 [95%CI:0.03-0.36], p < 0.001), survival (adj. OR of 0.14 [95%CI: 0.04-0.48]; p = 0.002) and favourable neurological outcome (OR of 0.16 [95%CI: 0.06-0.49]; p = 0.001). The observed prognostic impact remained stable irrespective of AS severity. AS proved to be a strong and independent predictor for mortality and poor outcome after IHCA. Therefore, the presence of AS mirrors an easily available predictive tool for risk stratification and decision-making.

Sections du résumé

BACKGROUND
Prognostic tools for decision-making whether to continue advanced life support or limit life sustaining interventions in In-Hospital Cardiac Arrest (IHCA), remain scarce and inconclusive. In this regard it seems intuitive that the presence of aortic stenosis (AS) impacts on both central and peripheral perfusion during resuscitative attempts and might worsen outcome. Therefore, we aimed to investigate the prognostic value of AS on outcome after IHCA.
METHODS
Out of 11,641 patients presenting with acute coronary syndrome, a total of 151 patients were identified that received a standardized echocardiographic diagnostic immediately prior to an IHCA. Binary logistic regression analysis was used to elucidate the prognostic impact of AS on outcome.
RESULTS
Within the entire study population, a total of 51 individuals with AS (mild: n = 19 [12.5%]; moderate: n = 11 [7.2%]; severe: n = 21 [13.8%]) were identified. We observed that 81% of patients with severe AS did not survive until hospital discharge. Additionally, the presence of AS showed a strong and independent inverse association with return of spontaneous circulation (adjusted odds ratio [OR] of 0.10 [95%CI:0.03-0.36], p < 0.001), survival (adj. OR of 0.14 [95%CI: 0.04-0.48]; p = 0.002) and favourable neurological outcome (OR of 0.16 [95%CI: 0.06-0.49]; p = 0.001). The observed prognostic impact remained stable irrespective of AS severity.
CONCLUSION
AS proved to be a strong and independent predictor for mortality and poor outcome after IHCA. Therefore, the presence of AS mirrors an easily available predictive tool for risk stratification and decision-making.

Identifiants

pubmed: 30818015
pii: S0300-9572(18)30974-2
doi: 10.1016/j.resuscitation.2019.01.037
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

156-160

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Patrick Sulzgruber (P)

Department of Medicine II, Division of Cardiology, Medical University of Vienna, Austria.

Sebastian Schnaubelt (S)

Department of Emergency Medicine, Medical University of Vienna, Austria.

Marco Pesce (M)

Department of Medicine II, Division of Cardiology, Medical University of Vienna, Austria.

Thomas Uray (T)

Department of Emergency Medicine, Medical University of Vienna, Austria.

Jan Niederdöckl (J)

Department of Emergency Medicine, Medical University of Vienna, Austria.

Hans Domanovits (H)

Department of Emergency Medicine, Medical University of Vienna, Austria.

Raphael Rosenhek (R)

Department of Medicine II, Division of Cardiology, Medical University of Vienna, Austria.

Thomas Binder (T)

Department of Medicine II, Division of Cardiology, Medical University of Vienna, Austria.

Klaus Distelmaier (K)

Department of Medicine II, Division of Cardiology, Medical University of Vienna, Austria.

Christian Hengstenberg (C)

Department of Medicine II, Division of Cardiology, Medical University of Vienna, Austria.

Alexander Niessner (A)

Department of Medicine II, Division of Cardiology, Medical University of Vienna, Austria. Electronic address: alexander.niessner@muv.ac.at.

Georg Goliasch (G)

Department of Medicine II, Division of Cardiology, Medical University of Vienna, Austria.

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