Validation of the CREST model & Comparison with SCAI Shock Classification for Prediction of Circulatory Death in Resuscitated Out of Hospital Cardiac Arrest.

OBJECTIVE

We validated the CREST model, a 5 variable score for stratifying risk of circulatory etiology death (CED) following out of hospital cardiac arrest (OHCA), and compared its discrimination with the SCAI shock classification.

BACKGROUND

CED occurs in approximately a third of patients admitted after resuscitated OHCA. There is an urgent need for improved stratification of the OHCA patient on arrival to a cardiac arrest centre to improve patient selection for invasive interventions.

METHODS

The CREST model and SCAI shock classification were applied to a dual-centre registry of 723 patients with cardiac etiology OHCA, both with and without ST-elevation myocardial infarction, between May 2012 to December 2020. The primary endpoint was 30-day CED.

RESULTS

Of 509 patients included (62.3 years, 75.4% male), 125 patients had CREST=0 (24.5%), 162 were CREST=1 (31.8%), 140 were CREST=2 (27.5%), 75 were CREST=3 (14.7%), 7 were CREST of 4 (1.4%) and no patients were CREST=5. CED was observed in 91 (17.9%) patients at 30 days [STEMI - 51/289 (17.6%); NSTEMI - 40/220 (18.2%)]. For the total population, and both NSTEMI & STEMI subpopulations, increasing CREST score was associated with increasing CED (all p<0.001). CREST score and SCAI classification had similar discrimination for the total population (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). AUC meta-analyses demonstrated no significant differences between the two classifications.

CONCLUSIONS

The CREST model and SCAI shock classification have similar prediction for the development of CED after OHCA.

Informations de copyright

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