Abstract Su602: Categorizing Witnessed Out-of-Hospital Cardiac Arrest by Bystander Type

Witnessed out-of-hospital cardiac arrests (OHCA) are associated with improved outcomes with increased likelihood of rapid activation of the emergency response system thus decreasing no-flow or low-flow times. Current literature has largely treated witnessed cardiac arrest as binary (i.e. was a cardiac arrest witnessed Yes/No). We hypothesize there is a need to further delineate and categorize distinct bystander types; these differences may have important downstream contributions to outcomes and survival and targets for improving training and recognition. For example, a bystander who is a healthcare provider with formal training or has experience performing resuscitation may be associated with better outcomes than a non-medical layperson. We examined a national-level database of emergency medical services (EMS) activations in the United States (NEMSIS). Inclusion criteria were any adult (18+ years) cardiac arrest activation between January 2022 and December 2023. Cardiac arrests taking place after EMS arrival (EMS-witnessed) were excluded. Witnessed status was described as unwitnessed, witnessed by healthcare provider, witnessed by family member, or witnessed by bystander. Across basic demographic variables, we compared overall witnessed rates, family member witnessed rates, and healthcare worker witnessed rates. A total of 791,217 cardiac arrests met inclusion criteria. Overall, 62.5% of arrests were unwitnessed, 22.8% were witnessed by a family member, and 6.3% were witnessed by a healthcare provider. Across sex, cardiac arrests in male patients were more likely to be witnessed, however, cardiac arrests in female patients were more likely to be witnessed by a family member or healthcare provider (p<0.05). Significant differences in witnessed status were also seen across race/ethnicity. For instance, cardiac arrests in Black/African American patients were less likely to be witnessed by family members and cardiac arrests in Hispanic/Latino patients were less likely to be witnessed by healthcare workers (p<0.05). Our analysis of a large and nationally-representative database of cardiac arrest suggests differences in rates of witnessed cardiac arrest and – perhaps, more importantly – the existence of different types of bystanders. Moreover, when considering these differences, there is heterogeneity among demographic variables. Future research is needed to understand whether these differences in bystander type may contribute to differences in outcomes.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.su602
Primary Topic
Trauma and Emergency Care Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract Su602: Categorizing Witnessed Out-of-Hospital Cardiac Arrest by Bystander Type

Ethan Abbott, Aditya C. Shekhar, Joshua M. Kimbrell, Jacob Stebel et al.
Circulation
Trauma and Emergency Care Studies
article

Abstract Su602: Categorizing Witnessed Out-of-Hospital Cardiac Arrest by Bystander Type

Ethan Abbott, Aditya C. Shekhar, Joshua M. Kimbrell, Jacob Stebel, Timothy J. Mader, Avir Mitra
article en

Abstract

Witnessed out-of-hospital cardiac arrests (OHCA) are associated with improved outcomes with increased likelihood of rapid activation of the emergency response system thus decreasing no-flow or low-flow times. Current literature has largely treated witnessed cardiac arrest as binary (i.e. was a cardiac arrest witnessed Yes/No). We hypothesize there is a need to further delineate and categorize distinct bystander types; these differences may have important downstream contributions to outcomes and survival and targets for improving training and recognition. For example, a bystander who is a healthcare provider with formal training or has experience performing resuscitation may be associated with better outcomes than a non-medical layperson. We examined a national-level database of emergency medical services (EMS) activations in the United States (NEMSIS). Inclusion criteria were any adult (18+ years) cardiac arrest activation between January 2022 and December 2023. Cardiac arrests taking place after EMS arrival (EMS-witnessed) were excluded. Witnessed status was described as unwitnessed, witnessed by healthcare provider, witnessed by family member, or witnessed by bystander. Across basic demographic variables, we compared overall witnessed rates, family member witnessed rates, and healthcare worker witnessed rates. A total of 791,217 cardiac arrests met inclusion criteria. Overall, 62.5% of arrests were unwitnessed, 22.8% were witnessed by a family member, and 6.3% were witnessed by a healthcare provider. Across sex, cardiac arrests in male patients were more likely to be witnessed, however, cardiac arrests in female patients were more likely to be witnessed by a family member or healthcare provider (p<0.05). Significant differences in witnessed status were also seen across race/ethnicity. For instance, cardiac arrests in Black/African American patients were less likely to be witnessed by family members and cardiac arrests in Hispanic/Latino patients were less likely to be witnessed by healthcare workers (p<0.05). Our analysis of a large and nationally-representative database of cardiac arrest suggests differences in rates of witnessed cardiac arrest and – perhaps, more importantly – the existence of different types of bystanders. Moreover, when considering these differences, there is heterogeneity among demographic variables. Future research is needed to understand whether these differences in bystander type may contribute to differences in outcomes.

CirculationVol. 150(Suppl_1)
University of Massachusetts Chan Medical School (US), Baystate Health (US), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 64%
Trauma and Emergency Care Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.