4.5 Article

A risk-adjustment model for patients presenting to hospitals with out-of-hospital cardiac arrest and ST-elevation myocardial infarction

Journal

RESUSCITATION
Volume 171, Issue -, Pages 41-47

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.resuscitation.2021.12.021

Keywords

STEMI; Cardiac arrest; Risk adjustment; Mortality; Angiography; Outcomes

Funding

  1. National Heart, Lung, and Blood Institute of the National Institutes of Health [T32HL110837]
  2. American Red Cross
  3. American Heart Association

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There is significant variation in mortality rates among STEMI patients complicated by OHCA. Current national efforts to benchmark mortality rates for coronary angiography may not adequately account for the severity of patient case-mix.
Background: Patients with ST-elevation myocardial infarction (STEMI) complicated by an out-of-hospital-cardiac-arrest (OHCA) may vary widely in their probability of dying. Large variation in mortality may have implications for current national eorts to benchmark operator and hospital mortality rates for coronary angiography. We aimed to build a risk-adjustment model of in-hospital mortality among OHCA survivors with concurrent STEMI. Methods: Within the Cardiac Arrest Registry to Enhance Survival (CARES), we included adults with OHCA and STEMI who underwent emergent angiography within 2 hours of hospital arrival between January 2013 and December 2019. Using multivariable logistic regression to adjust for patient and cardiac arrest factors, we developed a risk-adjustment model for in-hospital mortality and examined variation in patients' predicted mortality. Results: Of 2,999 patients (mean age 61.2 +/- 12.0, 23.1% female, 64.6% white), 996 (33.2%) died during their hospitalization. The final riskadjustment model included higher age (OR per 10-year increase, 1.50 [95% CI: 1.39-1.63]), unwitnessed OHCA (OR, 2.51 [1.99-3.16]), initial non-shockable rhythm [OR, 5.66 [4.52-7.13]), lack of sustained pulse for > 20 minutes (OR, 2.52 [1.88-3.36]), and longer resuscitation time (increased with each 10-minute interval) (c-statistic = 0.804 with excellent calibration). There was large variability in predicted mortality: median, 25.2%, inter-quartile-range: 14.0% to 47.8%, 10th-90th percentile: 8.2 % to 74.1%. Conclusions: In a large national registry, we identified 5 key predictors for mortality in patients with STEMI and OHCA and found wide variability in mortality risk. Our findings suggest that current national benchmarking eorts for coronary angiography, which simply adjusts for the presence of OHCA, may not adequately capture patient case-mix severity.

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