Simplified Predictive Instrument to Rule Out Acute Coronary Syndromes in a High-Risk Population.

Journal Article (Journal Article)

BACKGROUND: It is unclear whether diagnostic protocols based on cardiac markers to identify low-risk chest pain patients suitable for early release from the emergency department can be applied to patients older than 65 years or with traditional cardiac risk factors. METHODS AND RESULTS: In a single-center retrospective study of 231 consecutive patients with high-risk factor burden in which a first cardiac troponin (cTn) level was measured in the emergency department and a second cTn sample was drawn 4 to 14 hours later, we compared the performance of a modified 2-Hour Accelerated Diagnostic Protocol to Assess Patients with Chest Pain Using Contemporary Troponins as the Only Biomarker (ADAPT) rule to a new risk classification scheme that identifies patients as low risk if they have no known coronary artery disease, a nonischemic electrocardiogram, and 2 cTn levels below the assay's limit of detection. Demographic and outcome data were abstracted through chart review. The median age of our population was 64 years, and 75% had Thrombosis In Myocardial Infarction risk score ≥2. Using our risk classification rule, 53 (23%) patients were low risk with a negative predictive value for 30-day cardiac events of 98%. Applying a modified ADAPT rule to our cohort, 18 (8%) patients were identified as low risk with a negative predictive value of 100%. In a sensitivity analysis, the negative predictive value of our risk algorithm did not change when we relied only on undetectable baseline cTn and eliminated the second cTn assessment. CONCLUSIONS: If confirmed in prospective studies, this less-restrictive risk classification strategy could be used to safely identify chest pain patients with more traditional cardiac risk factors for early emergency department release.

Full Text

Duke Authors

Cited Authors

  • Fanaroff, AC; Schulteis, RD; Pieper, KS; Rao, SV; Newby, LK

Published Date

  • December 14, 2015

Published In

Volume / Issue

  • 4 / 12

PubMed ID

  • 26667086

Pubmed Central ID

  • PMC4845272

Electronic International Standard Serial Number (EISSN)

  • 2047-9980

Digital Object Identifier (DOI)

  • 10.1161/JAHA.115.002351


  • eng

Conference Location

  • England