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Diagnostic Performance of Novel Troponin Algorithms for the Rule-Out of Non-ST-Elevation Acute Coronary Syndrome.

Hilde L TjoraOle-Thomas SteiroJørund LangørgenRune O BjørneklettØyvind SkadbergVernon V S BonarjeeØistein R MjelvaPaul O CollinsonTorbjørn OmlandKjell VikenesKristin Moberg Aakre
Published in: Clinical chemistry (2022)
Low concentration/low-delta troponin algorithms improve the clinical sensitivity for a combined endpoint of NSTEMI and unstable angina pectoris, with the cost of a substantial reduction in total rule-out rate. There was no clear benefit compared to ESC for diagnosing high-risk events.
Keyphrases
  • acute coronary syndrome
  • machine learning
  • percutaneous coronary intervention
  • deep learning
  • coronary artery disease
  • coronary artery
  • antiplatelet therapy