Abstract 17309: Validation of a Novel Prediction Tool for Circulatory Etiology Death After Cardiac Arrest

• DOI: 10.1161/circ.132.suppl_3.17309
• Publication Date: 2021-07-03T04:10:04Z
• Authors: Karen Bascom; John Dziodzio; Samip Vasaiwala; Michael Mooney; Nainesh Patel; John McPherson; Paul McMullan; Barbara Unger; Niklas Nielsen; Hans Friberg; Karl Kern; David Seder
• Keywords: Etiology

Introduction: Post-resuscitation cardiac arrest (CA) triage to urgent angiography, percutaneous intervention, and mechanical circulatory support is hampered by inconclusive risk stratification, especially among patients without ST elevation myocardial infarction (STEMI). We analyzed registry data develop a prediction tool determine the of circulatory-etiology (CV) death in STEMI, validated it separate cohort. Methods: Using International Cardiac Arrest Registry (INTCAR)-Cardiology set stepwise linear regression with an inclusion rule P≤0.1, we determined demographic clinical factors independently associated CV death, created weighted model for presenting after CA STEMI. The was then separate, larger cohort from INTCAR. This project approved Maine Medical Center IRB. Results: Of 468 derivation cohort, 90 met criteria endpoint. In multivariable model, age greater than 65 (OR=2.4, p=0.0001), preexisting coronary disease (OR=1.9, P=0.0065), diabetes (OR=1.8, P=0.01), in-hospital (OR=1.5, P=0.1), time collapse return circulation (TTROSC) 25 minutes (OR=1.7, p=0.02), shock at presentation (OR=3.9, P<0.0001), EF<30% on first echo (OR=1.6, P=0.05) were death. predictors (age>65 =1, prior CAD TTROSC>25 admission LVEF<30% =2,), additive score 0-2 predicted 8.5% ≥3 34% validation which comprised 1197 patients, whom 263 13.1% 35.1% respectively. Conclusions: A simple bedside can predict high (34-35.1%) vs. low (8.5-13.1%) survivors could be used risk-stratify survivors, aid appropriate cost-effective post-resuscitation treatments.