Receiving Hospital Characteristics Associated With Survival in Patients Transported by Emergency Medical Services After Out-of-hospital Cardiac Arrest

Benton Hunter, Daniel O'Donnell, Jeffrey Kline, Christopher R. Carpenter

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Objective: To test whether primary emergency medical services (EMS) transport to hospitals with certain characteristics (24/7 percutaneous coronary intervention [PCI] availability, trauma center status, large [>24 bed] intensive care unit [ICU]) versus hospitals without those characteristics is associated with improved hospital survival after out-of-hospital cardiac arrest (OHCA). Methods: This is an analysis of a prospectively collected EMS database, which archives patients with OHCA treated by a single large metropolitan EMS system. The database contains Utstein data, EMS transport data, and survival to hospital discharge. EMS providers uniformly apply advanced cardiac life support protocols to OHCA patients in the field. Patients with return of spontaneous circulation (ROSC) are transported to one of 10 hospitals in the area. If ROSC is not achieved within 30 minutes, efforts are terminated and the patient is not transported. We used multivariate logistic regression to test if receiving hospital characteristics were independently associated with survival among those transported after ROSC. We excluded patients not transported to a hospital and patients with incomplete outcome data. Results: Between January 2011 and December 2014, a total of 1,188 OHCA patients were resuscitated in the field and transported to an area hospital. After patients with missing data were excluded, 1,024 patients were included in the analysis. The mean (±SD) age was 61.1 (±17.0) years, and 57.7% were male. Of transported patients, 76% were taken to 24/7 PCI centers, 46% were taken to trauma centers, and 37% were taken to hospitals with large ICUs. There was considerable overlap in these hospital characteristics. A multivariate logistic regression model including age, sex, shockable rhythm, EMS time to scene, and dispatch complaint of cardiac arrest found that none of the hospital characteristics were independently associated with increased survival to discharge. The odds ratios (95% confidence intervals) for survival were as follows: PCI center, 1.28 (0.80 to 2.04); trauma center, 1.44 (0.73 to 2.85); and large ICU, 1.39 (0.69 to 2.80). Conclusions: After adjusting for patient demographic data, we found no significant independent association between receiving hospital characteristics and survival to discharge among OHCA patients transported after ROSC by a single EMS agency.

Original languageEnglish (US)
Pages (from-to)905-909
Number of pages5
JournalAcademic Emergency Medicine
Volume23
Issue number8
DOIs
StatePublished - Aug 1 2016

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Out-of-Hospital Cardiac Arrest
Emergency Medical Services
Survival
Trauma Centers
Percutaneous Coronary Intervention
Logistic Models
Intensive Care Units
Advanced Cardiac Life Support
Databases
Heart Arrest

ASJC Scopus subject areas

  • Medicine(all)
  • Emergency Medicine

Cite this

@article{81432a4fa4074afb9c408e421eb2e17c,
title = "Receiving Hospital Characteristics Associated With Survival in Patients Transported by Emergency Medical Services After Out-of-hospital Cardiac Arrest",
abstract = "Objective: To test whether primary emergency medical services (EMS) transport to hospitals with certain characteristics (24/7 percutaneous coronary intervention [PCI] availability, trauma center status, large [>24 bed] intensive care unit [ICU]) versus hospitals without those characteristics is associated with improved hospital survival after out-of-hospital cardiac arrest (OHCA). Methods: This is an analysis of a prospectively collected EMS database, which archives patients with OHCA treated by a single large metropolitan EMS system. The database contains Utstein data, EMS transport data, and survival to hospital discharge. EMS providers uniformly apply advanced cardiac life support protocols to OHCA patients in the field. Patients with return of spontaneous circulation (ROSC) are transported to one of 10 hospitals in the area. If ROSC is not achieved within 30 minutes, efforts are terminated and the patient is not transported. We used multivariate logistic regression to test if receiving hospital characteristics were independently associated with survival among those transported after ROSC. We excluded patients not transported to a hospital and patients with incomplete outcome data. Results: Between January 2011 and December 2014, a total of 1,188 OHCA patients were resuscitated in the field and transported to an area hospital. After patients with missing data were excluded, 1,024 patients were included in the analysis. The mean (±SD) age was 61.1 (±17.0) years, and 57.7{\%} were male. Of transported patients, 76{\%} were taken to 24/7 PCI centers, 46{\%} were taken to trauma centers, and 37{\%} were taken to hospitals with large ICUs. There was considerable overlap in these hospital characteristics. A multivariate logistic regression model including age, sex, shockable rhythm, EMS time to scene, and dispatch complaint of cardiac arrest found that none of the hospital characteristics were independently associated with increased survival to discharge. The odds ratios (95{\%} confidence intervals) for survival were as follows: PCI center, 1.28 (0.80 to 2.04); trauma center, 1.44 (0.73 to 2.85); and large ICU, 1.39 (0.69 to 2.80). Conclusions: After adjusting for patient demographic data, we found no significant independent association between receiving hospital characteristics and survival to discharge among OHCA patients transported after ROSC by a single EMS agency.",
author = "Benton Hunter and Daniel O'Donnell and Jeffrey Kline and Carpenter, {Christopher R.}",
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T1 - Receiving Hospital Characteristics Associated With Survival in Patients Transported by Emergency Medical Services After Out-of-hospital Cardiac Arrest

AU - Hunter, Benton

AU - O'Donnell, Daniel

AU - Kline, Jeffrey

AU - Carpenter, Christopher R.

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N2 - Objective: To test whether primary emergency medical services (EMS) transport to hospitals with certain characteristics (24/7 percutaneous coronary intervention [PCI] availability, trauma center status, large [>24 bed] intensive care unit [ICU]) versus hospitals without those characteristics is associated with improved hospital survival after out-of-hospital cardiac arrest (OHCA). Methods: This is an analysis of a prospectively collected EMS database, which archives patients with OHCA treated by a single large metropolitan EMS system. The database contains Utstein data, EMS transport data, and survival to hospital discharge. EMS providers uniformly apply advanced cardiac life support protocols to OHCA patients in the field. Patients with return of spontaneous circulation (ROSC) are transported to one of 10 hospitals in the area. If ROSC is not achieved within 30 minutes, efforts are terminated and the patient is not transported. We used multivariate logistic regression to test if receiving hospital characteristics were independently associated with survival among those transported after ROSC. We excluded patients not transported to a hospital and patients with incomplete outcome data. Results: Between January 2011 and December 2014, a total of 1,188 OHCA patients were resuscitated in the field and transported to an area hospital. After patients with missing data were excluded, 1,024 patients were included in the analysis. The mean (±SD) age was 61.1 (±17.0) years, and 57.7% were male. Of transported patients, 76% were taken to 24/7 PCI centers, 46% were taken to trauma centers, and 37% were taken to hospitals with large ICUs. There was considerable overlap in these hospital characteristics. A multivariate logistic regression model including age, sex, shockable rhythm, EMS time to scene, and dispatch complaint of cardiac arrest found that none of the hospital characteristics were independently associated with increased survival to discharge. The odds ratios (95% confidence intervals) for survival were as follows: PCI center, 1.28 (0.80 to 2.04); trauma center, 1.44 (0.73 to 2.85); and large ICU, 1.39 (0.69 to 2.80). Conclusions: After adjusting for patient demographic data, we found no significant independent association between receiving hospital characteristics and survival to discharge among OHCA patients transported after ROSC by a single EMS agency.

AB - Objective: To test whether primary emergency medical services (EMS) transport to hospitals with certain characteristics (24/7 percutaneous coronary intervention [PCI] availability, trauma center status, large [>24 bed] intensive care unit [ICU]) versus hospitals without those characteristics is associated with improved hospital survival after out-of-hospital cardiac arrest (OHCA). Methods: This is an analysis of a prospectively collected EMS database, which archives patients with OHCA treated by a single large metropolitan EMS system. The database contains Utstein data, EMS transport data, and survival to hospital discharge. EMS providers uniformly apply advanced cardiac life support protocols to OHCA patients in the field. Patients with return of spontaneous circulation (ROSC) are transported to one of 10 hospitals in the area. If ROSC is not achieved within 30 minutes, efforts are terminated and the patient is not transported. We used multivariate logistic regression to test if receiving hospital characteristics were independently associated with survival among those transported after ROSC. We excluded patients not transported to a hospital and patients with incomplete outcome data. Results: Between January 2011 and December 2014, a total of 1,188 OHCA patients were resuscitated in the field and transported to an area hospital. After patients with missing data were excluded, 1,024 patients were included in the analysis. The mean (±SD) age was 61.1 (±17.0) years, and 57.7% were male. Of transported patients, 76% were taken to 24/7 PCI centers, 46% were taken to trauma centers, and 37% were taken to hospitals with large ICUs. There was considerable overlap in these hospital characteristics. A multivariate logistic regression model including age, sex, shockable rhythm, EMS time to scene, and dispatch complaint of cardiac arrest found that none of the hospital characteristics were independently associated with increased survival to discharge. The odds ratios (95% confidence intervals) for survival were as follows: PCI center, 1.28 (0.80 to 2.04); trauma center, 1.44 (0.73 to 2.85); and large ICU, 1.39 (0.69 to 2.80). Conclusions: After adjusting for patient demographic data, we found no significant independent association between receiving hospital characteristics and survival to discharge among OHCA patients transported after ROSC by a single EMS agency.

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