A 1-h Combination Algorithm Allows Fast Rule-Out and Rule-In of Major Adverse Cardiac Events

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

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.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • Skåne University Hospital
  • Helsingborg Hospital
  • Uppsala universitet
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Kardiologi
  • Annan klinisk medicin

Nyckelord

Originalspråkengelska
Sidor (från-till)1531-1540
Antal sidor10
TidskriftJournal of the American College of Cardiology
Volym67
Utgåva nummer13
StatusPublished - 2016
PublikationskategoriForskning
Peer review utfördJa

Relaterad forskningsoutput

Arash Mokhtari, Bertil Lindahl, Alexandru Schiopu, Troels Yndigegn, Ardavan Khoshnood, Patrik Gilje & Ulf Ekelund, 2017 aug 1, I: Academic Emergency Medicine. 24, 8, s. 983-992 10 s.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Arash Mokhtari, 2017, Lund: Lund University: Faculty of Medicine. 75 s.

Forskningsoutput: AvhandlingDoktorsavhandling (sammanläggning)

ARASH MOKHTARI, Bertil Lindahl, J. Gustav Smith, Martin J. Holzmann, Ardavan Khoshnood & Ulf Ekelund, 2016, I: Annals of Emergency Medicine. 68, 6, s. 649–658 10 s.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

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