101. Validation of the CREST model and comparison with SCAI shock classification for the prediction of circulatory death in resuscitated out-of-hospital cardiac arrest.
- Author
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Watson SA, Mohanan S, Abdrazak M, Roy R, Parczewska A, Kanyal R, McGarvey M, Dworakowski R, Webb I, O'Gallagher K, Melikian N, Auzinger G, Patel S, Jaguszewski MJ, Stahl D, Shah A, MacCarthy P, Byrne J, and Pareek N
- Subjects
- Humans, Male, Female, Middle Aged, Risk Assessment methods, Registries, Aged, Cause of Death trends, Survival Rate trends, Risk Factors, Retrospective Studies, Shock classification, Shock mortality, ST Elevation Myocardial Infarction classification, ST Elevation Myocardial Infarction mortality, ST Elevation Myocardial Infarction diagnosis, ST Elevation Myocardial Infarction complications, Prognosis, Out-of-Hospital Cardiac Arrest mortality, Out-of-Hospital Cardiac Arrest classification, Out-of-Hospital Cardiac Arrest therapy, Cardiopulmonary Resuscitation methods
- Abstract
Aims: We validated the CREST model, a 5 variable score for stratifying the risk of circulatory aetiology death (CED) following out-of-hospital cardiac arrest (OHCA) and compared its discrimination with the SCAI shock classification. Circulatory aetiology death occurs in approximately a third of patients admitted after resuscitated OHCA. There is an urgent need for improved stratification of the patient with OHCA on arrival to a cardiac arrest centre to improve patient selection for invasive interventions., Methods and Results: The CREST model and SCAI shock classification were applied to a dual-centre registry of 723 patients with cardiac aetiology OHCA, both with and without ST-elevation myocardial infarction (STEMI), between May 2012 and December 2020. The primary endpoint was a 30-day CED. Of 509 patients included (62.3 years, 75.4% male), 125 patients had CREST = 0 (24.5%), 162 had CREST = 1 (31.8%), 140 had CREST = 2 (27.5%), 75 had CREST = 3 (14.7%), 7 had a CREST of 4 (1.4%), and no patients had CREST = 5. Circulatory aetiology death was observed in 91 (17.9%) patients at 30 days [STEMI: 51/289 (17.6%); non-STEMI (NSTEMI): 40/220 (18.2%)]. For the total population, and both NSTEMI and STEMI subpopulations, an increasing CREST score was associated with increasing CED (all P < 0.001). The CREST score and SCAI classification had similar discrimination for the total population [area under the receiver operating curve (AUC) = 0.72/calibration slope = 0.95], NSTEMI cohort (AUC = 0.75/calibration slope = 0.940), and STEMI cohort (AUC = 0.69 and calibration slope = 0.925). Area under the receiver operating curve meta-analyses demonstrated no significant differences between the two classifications., Conclusion: The CREST model and SCAI shock classification show similar prediction results for the development of CED after OHCA., Competing Interests: Conflict of interest: none declared., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)
- Published
- 2024
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