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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.
- Source :
-
Circulation . 1/16/2018, Vol. 137 Issue 3, p273-282. 10p. - Publication Year :
- 2018
-
Abstract
- <bold>Background: </bold>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.<bold>Methods: </bold>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.<bold>Results: </bold>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%.<bold>Conclusions: </bold>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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MYOCARDIAL infarction
*CARDIOPULMONARY resuscitation
*CARDIAC arrest
*LOGISTIC regression analysis
*CARDIOMYOPATHIES
*PATIENTS
*BLOOD circulation
*COMPARATIVE studies
*CONVALESCENCE
*DECISION making
*LONGITUDINAL method
*RESEARCH methodology
*MEDICAL cooperation
*RESEARCH
*RESEARCH funding
*RISK assessment
*TIME
*EVALUATION research
*TREATMENT effectiveness
*PREDICTIVE tests
*ACQUISITION of data
*RETROSPECTIVE studies
RESEARCH evaluation
Subjects
Details
- Language :
- English
- ISSN :
- 00097322
- Volume :
- 137
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Circulation
- Publication Type :
- Academic Journal
- Accession number :
- 127357805
- Full Text :
- https://doi.org/10.1161/CIRCULATIONAHA.116.024332