Derivation and Validation of the CREST Model for Very Early Prediction of Circulatory Etiology Death in Patients Without ST-Segment–Elevation Myocardial Infarction After Cardiac Arrest
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Published:2018-01-16
Issue:3
Volume:137
Page:273-282
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ISSN:0009-7322
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Container-title:Circulation
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language:en
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Short-container-title:Circulation
Author:
Bascom Karen E.1, Dziodzio John2, Vasaiwala Samip1, Mooney Michael3, Patel Nainesh4, McPherson John5, McMullan Paul6, Unger Barbara7, Nielsen Niklas89, Friberg Hans810, Riker Richard R.2, Kern Karl B.11, Duarte Christine W.12, Seder David B.2, May Teresa, Sunde Kjetil, Rubertsson Sten, Smid Ondrej, Soreide Eldar, Hand Robert, Rundgren Malin, Valsson Felix, Sadaka Farid, Bekkers Bas, Wanscher Michael, Lindell Eva-Lotta, Guldbrand Pehr, Torstensson Anders, Dybkowska Krystyna, Israelsson Johan, Skram Ulrik, Guzowski Michelle, Hopf Hans-Bernd, Persson Stefan, Chang Ira, Samuelsson Line, Oddby Eva, Savolainen Kristina, Zätterman Richard, Rodriguez Daniel, Mayer Stephan, Födisch Markus, Oscarsson Beata, Scheer Håkan, Sarbinowski Roman, Hyddmark Ulf, Deye Nicolas, Lindbom Anna, Armani Claudia, Forsberg Sune, Ericsson Anders B.,
Affiliation:
1. Departments of Cardiology (K.E.B., S.V.) 2. Critical Care Services, Maine Medical Center, Portland (J.D., R.R.R., D.B.S.) 3. Department of Cardiology, Abbott Northwestern Hospital, Minneapolis, MN (M.M.) 4. Division of Cardiology, Lehigh Valley Health Network, Allentown, PA (N.P.) 5. Division of Cardiovascular Medicine, Vanderbilt University, Nashville, TN (J.M.) 6. St Thomas Heart, Nashville, TN (P.M.) 7. Minneapolis Heart Institute, MN (B.U.) 8. Department of Clinical Sciences, Lund University, Sweden (N.N., H.F.) 9. Department of Anesthesiology and Intensive Care, Helsingborg Hospital, Sweden (N.N.) 10. Department of Perioperative and Intensive Care, Skåne University Hospital, Lund, Sweden (H.F.) 11. Division of Cardiology, Sarver Heart Center, University of Arizona, Tucson (K.B.K.) 12. Maine Medical Center Research Institute, Scarborough (C.W.D.).
Abstract
Background:
No practical tool quantitates the risk of circulatory-etiology death (CED) immediately after successful cardiopulmonary resuscitation in patients without ST-segment–elevation myocardial infarction. We developed and validated a prediction model to rapidly determine that risk and facilitate triage to individualized treatment pathways.
Methods:
With the use of INTCAR (International Cardiac Arrest Registry), an 87-question data set representing 44 centers in the United States and Europe, patients were classified as having had CED or a combined end point of neurological-etiology death or survival. Demographics and clinical factors were modeled in a derivation cohort, and backward stepwise logistic regression was used to identify factors independently associated with CED. We demonstrated model performance using area under the curve and the Hosmer-Lemeshow test in the derivation and validation cohorts, and assigned a simplified point-scoring system.
Results:
Among 638 patients in the derivation cohort, 121 (18.9%) had CED. The final model included preexisting coronary artery disease (odds ratio [OR], 2.86; confidence interval [CI], 1.83–4.49;
P
≤0.001), nonshockable rhythm (OR, 1.75; CI, 1.10–2.77; P=0.017), initial ejection fraction<30% (OR, 2.11; CI, 1.32–3.37;
P
=0.002), shock at presentation (OR, 2.27; CI, 1.42–3.62; P<0.001), and ischemic time >25 minutes (OR, 1.42; CI, 0.90–2.23; P=0.13). The derivation model area under the curve was 0.73, and Hosmer-Lemeshow test P=0.47. Outcomes were similar in the 318-patient validation cohort (area under the curve 0.68, Hosmer-Lemeshow test P=0.41). When assigned a point for each associated factor in the derivation model, the average predicted versus observed probability of CED with a CREST score (coronary artery disease, initial heart rhythm, low ejection fraction, shock at the time of admission, and ischemic time >25 minutes) of 0 to 5 was: 7.1% versus 10.2%, 9.5% versus 11%, 22.5% versus 19.6%, 32.4% versus 29.6%, 38.5% versus 30%, and 55.7% versus 50%.
Conclusions:
The CREST model stratified patients immediately after resuscitation according to risk of a circulatory-etiology death. The tool may allow for estimation of circulatory risk and improve the triage of survivors of cardiac arrest without ST-segment–elevation myocardial infarction at the point of care.
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Physiology (medical),Cardiology and Cardiovascular Medicine
Cited by
43 articles.
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