Simplified Predictive Instrument to Rule Out Acute Coronary Syndromes in a High-Risk Population.
dc.contributor.author | Fanaroff, Alexander C | |
dc.contributor.author | Schulteis, Ryan D | |
dc.contributor.author | Pieper, Karen S | |
dc.contributor.author | Rao, Sunil V | |
dc.contributor.author | Newby, L Kristin | |
dc.coverage.spatial | England | |
dc.date.accessioned | 2016-08-01T13:17:36Z | |
dc.date.issued | 2015-12-14 | |
dc.description.abstract | 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. | |
dc.identifier | ||
dc.identifier | JAHA.115.002351 | |
dc.identifier.eissn | 2047-9980 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Ovid Technologies (Wolters Kluwer Health) | |
dc.relation.ispartof | J Am Heart Assoc | |
dc.relation.isversionof | 10.1161/JAHA.115.002351 | |
dc.subject | acute coronary syndromes | |
dc.subject | chest pain | |
dc.subject | coronary disease | |
dc.subject | emergency department | |
dc.subject | risk classification | |
dc.subject | Acute Coronary Syndrome | |
dc.subject | Aged | |
dc.subject | Biomarkers | |
dc.subject | Chest Pain | |
dc.subject | Decision Support Techniques | |
dc.subject | Electrocardiography | |
dc.subject | Emergency Service, Hospital | |
dc.subject | Female | |
dc.subject | Humans | |
dc.subject | Male | |
dc.subject | Middle Aged | |
dc.subject | Retrospective Studies | |
dc.subject | Risk Factors | |
dc.subject | Troponin C | |
dc.title | Simplified Predictive Instrument to Rule Out Acute Coronary Syndromes in a High-Risk Population. | |
dc.type | Journal article | |
duke.contributor.orcid | Fanaroff, Alexander C|0000-0002-9060-5307 | |
duke.contributor.orcid | Newby, L Kristin|0000-0002-6394-8187 | |
pubs.author-url | ||
pubs.issue | 12 | |
pubs.organisational-group | Clinical Science Departments | |
pubs.organisational-group | Duke | |
pubs.organisational-group | Duke Clinical Research Institute | |
pubs.organisational-group | Institutes and Centers | |
pubs.organisational-group | Medicine | |
pubs.organisational-group | Medicine, Cardiology | |
pubs.organisational-group | Medicine, General Internal Medicine | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | Staff | |
pubs.publication-status | Published online | |
pubs.volume | 4 |
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