S'abonner

Outcomes of Patients Calling Emergency Medical Services for Suspected Acute Cardiovascular Disease - 07/12/14

Doi : 10.1016/j.amjcard.2014.09.042 
Mikkel Malby Schoos, MD, PhD a, b, c, , Maria Sejersten, MD, DMSc d, Usman Baber, MD c, Philip Michael Treschow, MD e, Mette Madsen, MSc f, Anders Hvelplund, MD, PhD f, Henning Kelbæk, MD, DMSc d, Roxana Mehran, MD c, Peter Clemmensen, MD, DMSc g
a Department of Cardiology, Rigshospitalet, University of Copenhagen, Denmark 
b Department of Cardiology, Køge Hospital, University of Copenhagen, Denmark 
c Interventional Cardiovascular Research and Clinical Trials, The Zena and Michael A. Wiener Cardiovascular Institute, The Icahn School of Medicine at Mount Sinai, New York, New York 
d Department of Cardiology, Roskilde Hospital, University of Copenhagen, Denmark 
e Department of Anesthesia, Nykøbing Falster Hospital, Denmark 
f Department of Public Health, University of Copenhagen, Denmark 
g Department of Cardiology, Nykøbing Falster Hospital, Denmark 

Corresponding author: Tel: +45 26194326; fax: +45 39632601.

Abstract

Adequate health care is increasingly dependent on prehospital systems and cardiovascular (CV) disease remains the most common cause for hospital admission. However the prevalence of CV dispatches of emergency medical services (EMS) is not well reported and survival data described in clinical trials and registries are subject to selection biases. We aimed to describe the prevalence and prognosis of acute CV disease and the effect of invasive treatment, in an unselected and consecutive prehospital cohort of 3,410 patients calling the national emergency telephone number from 2005 to 2008 with follow-up in 2013. Individual-level data from national registries were linked to the dedicated EMS database of primary ambulance dispatches supported by physician-manned emergency units. Outcome data were obtained from the Central Population Registry, the National Patient Registry, and the National Registry of Causes of Death. In patients calling the national emergency telephone number, a CV related ambulance alarm code was given in 2,541 patients of 3,410 patients (74.5%) resulting in 2,056 of 3,410 primary CV discharge diagnoses (60.3%) with a 30-day and 5-year all-cause mortality of 24.5% and 46.4%, respectively. Stroke, acute heart failure, and ST-segment elevation myocardial infarction (STEMI) carried a 25- to 50-fold adjusted mortality hazard during the first 4 days. In patients with suspected STEMI, 90.5% had an acute angiography performed. Nontransferred, nonreperfused patients with STEMI (9.1%) carried 80% short-term mortality. Noninvasive management of non–ST-segment elevation myocardial infarction was common (37.9%) and associated with an increased adjusted long-term mortality hazard (hazard ratio 4.17 [2.51 to 8.08], p <0.001). Survival in 447 out-of-hospital cardiac arrest patients (13.1%) was 11.6% at 30 days. In conclusion, patients with a CV ambulance alarm call code and a final CV discharge diagnosis constitute most patients handled by EMS with an extremely elevated short-term mortality hazard and a poor long-term prognosis. Although co-morbidities and frailty may influence triage, this study emphasizes the need for an efficient prehospital phase with focus on CV disease and proper triage of patients suitable for invasive evaluation if the outcomes of acute heart disease are to be improved further in the current international context of hospitals merging into highly specialized entities resulting in longer patient transfers.

Le texte complet de cet article est disponible en PDF.

Plan


 No specific funding was obtained for this study.
 See page 19 for disclosure information.


© 2015  Elsevier Inc. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 115 - N° 1

P. 13-20 - janvier 2015 Retour au numéro
Article précédent Article précédent
  • Effects of Prolastin C (Plasma-Derived Alpha-1 Antitrypsin) on the Acute Inflammatory Response in Patients With ST-Segment Elevation Myocardial Infarction (from the VCU-Alpha 1-RT Pilot Study)
  • Antonio Abbate, Benjamin Wallace Van Tassell, Sanah Christopher, Nayef Antar Abouzaki, Chiara Sonnino, Claudia Oddi, Salvatore Carbone, Ryan David Melchior, Michael Lucas Gambill, Charlotte Susan Roberts, Michael Christopher Kontos, Mary Ann Peberdy, Stefano Toldo, George Wayne Vetrovec, Giuseppe Biondi-Zoccai, Charles Anthony Dinarello
| Article suivant Article suivant
  • Gender Disparities in Evidence-Based Statin Therapy in Patients With Cardiovascular Disease
  • Salim S. Virani, LeChauncy D. Woodard, David J. Ramsey, Tracy H. Urech, Julia M. Akeroyd, Tina Shah, Anita Deswal, Biykem Bozkurt, Christie M. Ballantyne, Laura A. Petersen

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.