Navigating the Observation Zone: Do Risk Scores Help Stratify Patients With Indeterminate High-Sensitivity Cardiac Troponins?

Circulation. 2024 Jan 2;149(1):70-72. doi: 10.1161/CIRCULATIONAHA.123.065030. Epub 2023 Dec 28.

Nicklaus P Ashburn^{1

2}, James K McCord³, Anna C Snavely^{1

4}, Robert H Christenson⁵, Fred S Apple^{6

7}, Richard M Nowak⁸, William F Peacock⁹, Christopher R deFilippi¹⁰, Simon A Mahler^{1

11

12}

¹ Department of Emergency Medicine (N.P.A., A.C.S., S.A.M.), Wake Forest School of Medicine, Winston-Salem, NC.
² Section on Cardiovascular Medicine, Department of Internal Medicine (N.P.A.), Wake Forest School of Medicine, Winston-Salem, NC.
³ Department of Cardiology, Henry Ford Health System, Detroit, MI (J.K.M.).
⁴ Department of Biostatistics and Data Science (A.C.S.), Wake Forest School of Medicine, Winston-Salem, NC.
⁵ Department of Pathology, University of Maryland School of Medicine, Baltimore (R.H.C.).
⁶ Department of Laboratory Medicine and Pathology, Hennepin Healthcare/Hennepin County Medical Center, Minneapolis, MN (F.S.A.).
⁷ Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis (F.S.A.).
⁸ Department of Emergency Medicine, Henry Ford Health System, Detroit, MI (R.M.N.).
⁹ Department of Emergency Medicine, Baylor College of Medicine, Houston, TX (W.E.P.).
¹⁰ Inova Heart and Vascular Institute, Falls Church, VA (D.R.dF.).
¹¹ Department of Epidemiology and Prevention (S.A.M.), Wake Forest School of Medicine, Winston-Salem, NC.
¹² Department of Implementation Science (S.A.M.), Wake Forest School of Medicine, Winston-Salem, NC.

No abstract available

Keywords: algorithms; predictive value of tests; risk factors; troponin I.

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