Title of article :
Effect of Prehospital Epinephrine on Outcomes of Out-of-Hospital Cardiac Arrest: A Bayesian Network Approach
Author/Authors :
Kim, Joonghee Department of Emergency Medicine - Seoul National University Bundang Hospital - 82 - Gumi-ro 173 Beon-gil Bundang-gu - Seongnam-si Gyeonggi-do - Seongnam 13620 - Republic of Korea , Kim, Yu Jin Department of Emergency Medicine - Seoul National University Bundang Hospital - 82 - Gumi-ro 173 Beon-gil Bundang-gu - Seongnam-si Gyeonggi-do - Seongnam 13620 - Republic of Korea , Han, Sangsoo Department of Emergency Medicine - Soonchunhyang University Bucheon Hospital - 170 - Jomaru-ro Bucheon-si Gyeonggi-do - Bucheon 14584 - Republic of Korea , Choi, Han Joo Department of Emergency Medicine - Dankook University Hospital - 201 - Manghyang-ro Dongnam-gu - Cheonan-si Chungcheongnam-do - Cheonan 31116 - Republic of Korea , Moon, Hyungjun Department of Emergency Medicine - Soonchunhyang University Hospital - 44 - Suncheonhyang 4-gil Dongnam-gu - Cheonan-si Chungcheongnam-do - Asan 31151 - Republic of Korea , Kim, Giwoon Department of Emergency Medicine - Soonchunhyang University Bucheon Hospital - 170 - Jomaru-ro Bucheon-si Gyeonggi-do - Bucheon 14584 - Republic of Korea
Abstract :
Background. (e benefit of prehospital epinephrine in out-of-hospital cardiac arrest (OHCA) was shown in a recent large placebocontrolled trial. However, placebo-controlled studies cannot identify the nonpharmacologic influences on concurrent or downstream events that might modify the main effect positively or negatively. We sought to identify the real-world effect of epinephrine from a clinical registry using Bayesian network with time-sequence constraints. Methods. We analyzed a prospective
regional registry of OHCA where a prehospital advanced life support (ALS) protocol named “Smart ALS (SALS)” was gradually
implemented from July 2015 to December 2016. Using Bayesian network, a causal structure was estimated. (e effect of epinephrine and SALS program was modelled based on the structure using extended Cox-regression and logistic regression, respectively. Results. Among 4324 patients, SALS was applied to 2351 (54.4%) and epinephrine was administered in 1644 (38.0%).
Epinephrine was associated with faster ROSC rate in nonshockable rhythm (HR: 2.02, 6.94, and 7.43; 95% CI: 1.08–3.78,
4.15–11.61, and 2.92–18.91, respectively, for 1–10, 11–20, and >20 minutes) while it was associated with slower rate up to 20
minutes in shockable rhythm (HR: 0.40, 0.50, and 2.20; 95% CI: 0.21–0.76, 0.32–0.77, and 0.76–6.33). SALS was associated with
increased prehospital ROSC and neurologic recovery in noncardiac etiology (HR: 5.36 and 2.05; 95% CI: 3.48–8.24 and 1.40–3.01,
respectively, for nonshockable and shockable rhythm). Conclusions. Epinephrine was associated with faster ROSC rate in
nonshockable rhythm but slower rate in shockable rhythm up to 20 minutes. SALS was associated with improved prehospital ROSC and neurologic recovery in noncardiac etiology.
Keywords :
OHCA , Prehospital Epinephrine , Outcomes of Out-of-Hospital Cardiac Arrest , Bayesian Network Approach
Journal title :
Emergency Medicine International