Prospective Validation and Comparative Analysis of Coronary Risk Stratification Strategies Among Emergency Department Patients With Chest Pain

Author:

Mark Dustin G.123ORCID,Huang Jie3,Kene Mamata V.4ORCID,Sax Dana R.13ORCID,Cotton Dale M.5,Lin James S.6,Bouvet Sean C.7,Chettipally Uli K.8,Anderson Megan L.9,McLachlan Ian D.10,Simon Laura E.11ORCID,Shan Judy3,Rauchwerger Adina S.3ORCID,Vinson David R.39ORCID,Ballard Dustin W.312ORCID,Reed Mary E.3ORCID,

Affiliation:

1. Department of Emergency Medicine Kaiser Permanente Oakland Medical Center Oakland CA

2. Department of Critical Care Medicine Kaiser Permanente Oakland Medical Center Oakland CA

3. Division of Research Kaiser Permanente Northern California Oakland CA

4. Department of Emergency Medicine Kaiser Permanente San Leandro Medical Center San Leandro CA

5. Department of Emergency Medicine Kaiser Permanente South Sacramento Medical Center Sacramento CA

6. Department of Emergency Medicine Kaiser Permanente Santa Clara Medical Center Santa Clara CA

7. Department of Emergency Medicine Kaiser Permanente Walnut Creek Medical Center Walnut Creek CA

8. Department of Emergency Medicine Kaiser Permanente South San Francisco Medical Center South San Francisco CA

9. Department of Emergency Medicine Kaiser Permanente Roseville Medical Center Roseville CA

10. Department of Emergency Medicine Kaiser Permanente San Francisco Medical Center San Francisco CA

11. University of California San Diego School of Medicine San Diego CA

12. Department of Emergency Medicine Kaiser Permanente San Rafael Medical Center San Rafael CA

Abstract

Background Coronary risk stratification is recommended for emergency department patients with chest pain. Many protocols are designed as “rule‐out” binary classification strategies, while others use graded‐risk stratification. The comparative performance of competing approaches at varying levels of risk tolerance has not been widely reported. Methods and Results This is a prospective cohort study of adult patients with chest pain presenting between January 2018 and December 2019 to 13 medical center emergency departments within an integrated healthcare delivery system. Using an electronic clinical decision support interface, we externally validated and assessed the net benefit (at varying risk thresholds) of several coronary risk scores (History, ECG, Age, Risk Factors, and Troponin [HEART] score, HEART pathway, Emergency Department Assessment of Chest Pain Score Accelerated Diagnostic Protocol), troponin‐only strategies (fourth‐generation assay), unstructured physician gestalt, and a novel risk algorithm (RISTRA‐ACS). The primary outcome was 60‐day major adverse cardiac event defined as myocardial infarction, cardiac arrest, cardiogenic shock, coronary revascularization, or all‐cause mortality. There were 13 192 patient encounters included with a 60‐day major adverse cardiac event incidence of 3.7%. RISTRA‐ACS and HEART pathway had the lowest negative likelihood ratios (0.06, 95% CI, 0.03–0.10 and 0.07, 95% CI, 0.04–0.11, respectively) and the greatest net benefit across a range of low‐risk thresholds. RISTRA‐ACS demonstrated the highest discrimination for 60‐day major adverse cardiac event (area under the receiver operating characteristic curve 0.92, 95% CI, 0.91–0.94, P <0.0001). Conclusions RISTRA‐ACS and HEART pathway were the optimal rule‐out approaches, while RISTRA‐ACS was the best‐performing graded‐risk approach. RISTRA‐ACS offers promise as a versatile single approach to emergency department coronary risk stratification. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03286179.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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