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A 1-h Combination Algorithm Allows Fast Rule-Out and Rule-In of Major Adverse Cardiac Events.
Mokhtari, Arash; Borna, Catharina; Gilje, Patrik; Tydén, Patrik; Lindahl, Bertil; Nilsson, Hans-Jörgen; Khoshnood, Ardavan; Björk, Jonas; Ekelund, Ulf.
Afiliação
  • Mokhtari A; Department of Internal and Emergency Medicine, Skåne University Hospital, Lund, Sweden; Department of Cardiology, Skåne University Hospital, Lund, Sweden; Department of Clinical Sciences at Lund, Lund University, Lund, Sweden. Electronic address: arash.mokhtari.0561@med.lu.se.
  • Borna C; Department of Clinical Sciences at Lund, Lund University, Lund, Sweden; Division Specialised Local Health Care, Helsingborg General Hospital, Helsingborg, Sweden.
  • Gilje P; Department of Cardiology, Skåne University Hospital, Lund, Sweden.
  • Tydén P; Department of Cardiology, Skåne University Hospital, Lund, Sweden.
  • Lindahl B; Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden.
  • Nilsson HJ; Department of Cardiology, Skåne University Hospital, Lund, Sweden.
  • Khoshnood A; Department of Internal and Emergency Medicine, Skåne University Hospital, Lund, Sweden; Department of Clinical Sciences at Lund, Lund University, Lund, Sweden.
  • Björk J; Occupational and Environmental Medicine, Lund University, Lund, Sweden.
  • Ekelund U; Department of Internal and Emergency Medicine, Skåne University Hospital, Lund, Sweden; Department of Clinical Sciences at Lund, Lund University, Lund, Sweden.
J Am Coll Cardiol ; 67(13): 1531-1540, 2016 Apr 05.
Article em En | MEDLINE | ID: mdl-27150684
ABSTRACT

BACKGROUND:

A 1-h algorithm based on high-sensitivity cardiac troponin T (hs-cTnT) testing at presentation and again 1 h thereafter has been shown to accurately rule out acute myocardial infarction.

OBJECTIVES:

The goal of the study was to evaluate the diagnostic accuracy of the 1-h algorithm when supplemented with patient history and an electrocardiogram (ECG) (the extended algorithm) for predicting 30-day major adverse cardiac events (MACE) and to compare it with the algorithm using hs-cTnT alone (the troponin algorithm).

METHODS:

This prospective observational study enrolled consecutive patients presenting to the emergency department (ED) with chest pain, for whom hs-cTnT testing was ordered at presentation. Hs-cTnT results at 1 h and the ED physician's assessments of patient history and ECG were collected. The primary outcome was an adjudicated diagnosis of 30-day MACE defined as acute myocardial infarction, unstable angina, cardiogenic shock, ventricular arrhythmia, atrioventricular block, cardiac arrest, or death of a cardiac or unknown cause.

RESULTS:

In the final analysis, 1,038 patients were included. The extended algorithm identified 60% of all patients for rule-out and had a higher sensitivity than the troponin algorithm (97.5% vs. 87.6%; p < 0.001). The negative predictive value was 99.5% and the likelihood ratio was 0.04 with the extended algorithm versus 97.8% and 0.17, respectively, with the troponin algorithm. The extended algorithm ruled-in 14% of patients with a higher sensitivity (75.2% vs. 56.2%; p < 0.001) but a slightly lower specificity (94.0% vs. 96.4%; p < 0.001) than the troponin algorithm. The rule-in arms of both algorithms had a likelihood ratio >10.

CONCLUSIONS:

A 1-h combination algorithm allowed fast rule-out and rule-in of 30-day MACE in a majority of ED patients with chest pain and performed better than the troponin-alone algorithm.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Cardiopatias Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Cardiopatias Idioma: En Ano de publicação: 2016 Tipo de documento: Article