scholarly journals Editor’s Choice-Is the pre-hospital ECG after out-of-hospital cardiac arrest accurate for the diagnosis of ST-elevation myocardial infarction?

2015 ◽  
Vol 5 (4) ◽  
pp. 317-326 ◽  
Author(s):  
Idrees Salam ◽  
Christian Hassager ◽  
Jakob Hartvig Thomsen ◽  
Sandra Langkjær ◽  
Helle Søholm ◽  
...  
Circulation ◽  
2020 ◽  
Vol 142 (Suppl_4) ◽  
Author(s):  
Andy T Tran ◽  
Anthony J Hart ◽  
John Spertus ◽  
Philip Jones ◽  
Ali O Malik ◽  
...  

Background: In the emergent setting of ST-Elevation Myocardial Infarction (STEMI) complicating out-of-hospital cardiac arrest (OHCA), decisions for immediate coronary angiography are made when the likelihood of hospital survival is unknown. Estimating the risk of mortality at the time of hospital arrival might inform decisions for primary percutaneous coronary intervention. Methods: From the Cardiac Arrest Registry to Enhance Survival (CARES), we included adult OHCA patients from 2013-2018 presenting to hospitals with a STEMI. We developed a predictive model for in-hospital mortality using multivariable logistic regression to derive a scoring tool that was internally validated with bootstrap methods. Results: Of 7120 patients with OHCA and STEMI admitted at a hospital (mean age 62±13.2 years, 27% female), 3159 (44.4%) died during hospitalization. Higher age, unwitnessed arrest, non-shockable cardiac arrest rhythm, no sustained return of spontaneous circulation (ROSC) at the time of hospital admission, and resuscitation time on scene were most predictive of mortality (C-index, 0.82). Using the model β coefficients, we developed an integer risk score ranging from 0 to 10 points, corresponding to observed mortality rates of 5% to 100% (Figure 1). The odds of in-hospital mortality doubled for each 1-unit score increase (odds ratio, 2.01; 95% CI, 1.94-2.09; p<0.0001), and a score of ≥6, involving ~15% of patients, was associated with ≥85% in-hospital mortality risk. Conclusions: This risk score, based on simple prehospital characteristics, stratifies the range of in-hospital mortality from 5% to nearly 100% in OHCA patients with STEMI at the time of hospital presentation. The benefits of such a model in decision-making for immediate coronary angiography should be prospectively studied.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Kelham ◽  
T N Jones ◽  
K S Rathod ◽  
O Guttmann ◽  
A Proudfoot ◽  
...  

Abstract Introduction There has been an increasing focus on the development of scoring systems for patients admitted following resuscitation from out-of-hospital cardiac arrest (OHCA) to determine both prognosis and short-term management. One such system, the CREST score, has been shown to predict circulatory aetiology death in patients without ST-elevation myocardial infarction, however with an increasing number of OHCAs seen, general scoring systems to predict outcome in OHCA would be helpful. Aims We sought to determine whether the addition of an admission lactate ≥8 mmol/l to the existing CREST score was able to better predict in-hospital mortality in patients admitted with OHCA. Methods and results We retrospectively analysed the data of 500 patients admitted with an OHCA of presumed cardiac origin to our tertiary cardiac centre between June 2014 and Oct 2018. Mean age was 62.6y (±14.7), 379 (76%) were male and 250 (50%) were Caucasian. 313 (62.6%) were admitted with ST elevation myocardial infarction or equivalent. 48.6% (243/500) of patients died in hospital and of those that survived, 20.2% (52/257) were left with hypoxic brain injury (CPC score 3–4). When analysed independently, all individual factors other than history of Coronary artery disease (OR 1.47, p=0.084) significantly predicted in-hospital mortality: Admission lactate ≥8 mmol/l (OR 6.78, p<0.0001), non-shockable Rhythm (OR 10.9, p<0.0001), Ejection fraction <30% (OR 5.84, p<0.0001), Shock at presentation (OR 5.49, p<0.0001) and ischaemic Time >25 minutes (OR 12.8, p<0.0001). When each factor was assigned one point and totalled, both increasing CREST and C-AREST scores were associated with increasing in-hospital mortality: CREST (0–5 points): 4.3%, 30.5%, 41.5%, 85.6%, 95.2%, 100% vs C-AREST (0–6 points): 9.1%, 28.3%, 41.9%, 62.8%, 97.6%, 96.4%, 100%. When analysed with stepwise logistic regression, the addition of admission lactate ≥8 mmol/l to the model improved the prediction of in-hospital mortality: CREST (40.8% of variance explained) vs C-AREST (43.3%), with admission lactate remaining an independently significant predictor (OR 3.67, p=0.002). Conclusion We describe a novel modification to the previously described CREST scoring system for OHCA: the C-AREST score. The addition of admission lactate ≥8 mmol/l may have a role in differentiating those in intermediate risk categories (score between 2 and 3) where the predicted in hospital mortality would otherwise vary greatly. Given the relative ease of obtaining admission lactate, this scoring system may further improve stratification of patients who may or may not benefit from invasive management.


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