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Miró Ò, Lopez-Ayala P, Martínez-Nadal G, Troester V, Strebel I, Coll-Vinent B, Gil V, Jiménez S, García-Martínez A, Ortega M, Boeddinghaus J, Nestelberger T, Gualandro DM, Bragulat E, Sánchez M, Peacock WF, Mueller C, López-Barbeito B. External validation of an emergency department triage algorithm for chest pain patients. EUROPEAN HEART JOURNAL-ACUTE CARDIOVASCULAR CARE 2020; 9:576-585. [PMID: 32363882 DOI: 10.1177/2048872620903452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND We aimed to externally validate an emergency department triage algorithm including five hierarchical clinical variables developed to identify chest pain patients at low risk of having an acute coronary syndrome justifying delayed rather than immediate evaluation. METHODS In a single-centre cohort enrolling 29,269 consecutive patients presenting with chest pain, the performance of the algorithm was compared against the emergency department discharge diagnosis. In an international multicentre study enrolling 4069 patients, central adjudication by two independent cardiologists using all data derived from cardiac work-up including follow-up served as the reference. Triage towards 'low-risk' required absence of all five clinical 'high-risk' variables: history of coronary artery disease, diabetes, pressure-like chest pain, retrosternal chest pain and age above 40 years. Safety (sensitivity and negative predictive value (NPV)) and efficacy (percentage of patients classified as low risk) was tested in this initial proposal (Model A) and in two additional models: omitting age criteria (Model B) and allowing up to one (any) of the five high-risk variables (Model C). RESULTS The prevalence of acute coronary syndrome was 9.4% in the single-centre and 28.4% in the multicentre study. The triage algorithm had very high sensitivity/NPV in both cohorts (99.4%/99.1% and 99.9%/99.1%, respectively), but very low efficacy (6.2% and 2.7%, respectively). Model B resulted in sensitivity/NPV of 97.5%/98.3% and 96.1%/89.4%, while efficacy increased to 14.2% and 10.4%, respectively. Model C resulted in sensitivity/NPV of 96.7%/98.6% and 95.2%/91.3%, with a further increase in efficacy to 23.1% and 15.5%, respectively. CONCLUSION A triage algorithm for the identification of low-risk chest pain patients exclusively based on simple clinical variables provided reasonable performance characteristics possibly justifying delayed rather than immediate evaluation in the emergency department.
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Affiliation(s)
- Òscar Miró
- Emergency Department, Hospital Clínic, Universitat de Barcelona, Spain
- The GREAT (Global Research on Acute Conditions Team) network, Rome, Italy
| | - Pedro Lopez-Ayala
- The GREAT (Global Research on Acute Conditions Team) network, Rome, Italy
- Cardiovascular Research Institute Basel (CRIB) and Cardiology Department, University Hospital Basel, Switzerland
| | - Gemma Martínez-Nadal
- Emergency Department, Hospital Clínic, Universitat de Barcelona, Spain
- The GREAT (Global Research on Acute Conditions Team) network, Rome, Italy
| | - Valentina Troester
- The GREAT (Global Research on Acute Conditions Team) network, Rome, Italy
- Cardiovascular Research Institute Basel (CRIB) and Cardiology Department, University Hospital Basel, Switzerland
| | - Ivo Strebel
- The GREAT (Global Research on Acute Conditions Team) network, Rome, Italy
- Cardiovascular Research Institute Basel (CRIB) and Cardiology Department, University Hospital Basel, Switzerland
| | | | - Víctor Gil
- Emergency Department, Hospital Clínic, Universitat de Barcelona, Spain
| | - Sònia Jiménez
- Emergency Department, Hospital Clínic, Universitat de Barcelona, Spain
| | | | - Mar Ortega
- Emergency Department, Hospital Clínic, Universitat de Barcelona, Spain
| | - Jasper Boeddinghaus
- The GREAT (Global Research on Acute Conditions Team) network, Rome, Italy
- Cardiovascular Research Institute Basel (CRIB) and Cardiology Department, University Hospital Basel, Switzerland
| | - Thomas Nestelberger
- The GREAT (Global Research on Acute Conditions Team) network, Rome, Italy
- Cardiovascular Research Institute Basel (CRIB) and Cardiology Department, University Hospital Basel, Switzerland
| | - Danielle M Gualandro
- The GREAT (Global Research on Acute Conditions Team) network, Rome, Italy
- Cardiovascular Research Institute Basel (CRIB) and Cardiology Department, University Hospital Basel, Switzerland
| | - Ernest Bragulat
- Emergency Department, Hospital Clínic, Universitat de Barcelona, Spain
| | - Miquel Sánchez
- Emergency Department, Hospital Clínic, Universitat de Barcelona, Spain
| | - W Frank Peacock
- The GREAT (Global Research on Acute Conditions Team) network, Rome, Italy
- Emergency Medicine, Baylor College of Medicine, Houston, USA
| | - Christian Mueller
- The GREAT (Global Research on Acute Conditions Team) network, Rome, Italy
- Cardiovascular Research Institute Basel (CRIB) and Cardiology Department, University Hospital Basel, Switzerland
| | - Beatriz López-Barbeito
- Emergency Department, Hospital Clínic, Universitat de Barcelona, Spain
- The GREAT (Global Research on Acute Conditions Team) network, Rome, Italy
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Martínez-Sellés M, Bueno H, Sacristán A, Estévez Á, Ortiz J, Gallegoa L, Fernández-Avilés F. Dolor torácico en urgencias: frecuencia, perfil clínico y estratificación de riesgo. Rev Esp Cardiol 2008. [DOI: 10.1157/13125517] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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