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Abstract
Background. Glucose is emerging as a biomarker for early and safe rule-out of acute myocardial infarction in emergency department (ED) chest pain patients. We evaluated the diagnostic accuracy of dual testing with high sensitivity TnT (hs-cTnT) and glucose for prediction of major adverse cardiac events (MACE) within 30 days. Methods. This was a secondary analysis of a single-center prospective observational study of 1167 ED chest-pain patients with hs-cTnT and glucose testing at presentation (0 h), and hs-cTnT 1 h later. We tested the addition of glucose <5.6 mmol/L to three MACE rule-out strategies: hs-cTnT <5 ng/L, ≤14 ng/L or a 0 h/1h algorithm, i.e. initial hs-cTnT <12 ng/L with a 1 h change of <3 ng/L. We also tested the addition of glucose ≥11mmol/L to three rule-in strategies: hs-cTnT ≥52 ng/L, a 1 h change ≥5 ng/L or hs-cTnT >14 ng/L. The outcomes were 30-day MACE and 30-day MACE without UA. Results. Two dual-testing approaches reached our target NPV for rule-out: A 0 h hs-cTnT ≤14 ng/L and glucose <5.6 mmol/L identified 252 patients (24.4%) with a 98.8% NPV for 30-day MACE and 99.6% for MACE without UA. The 0 h/1h hs-cTnT algorithm combined with glucose identified 240 patients (23.2%) with a 99.2% NPV for 30-day MACE and 100.0% for MACE without UA. No dual rule-in strategy performed better than using hs-cTnT alone. Conclusions. A combination of hs-cTnT and blood glucose at presentation can be used to identify almost ¼ of ED chest pain patients with a very low risk of 30-day MACE where further testing is not needed. Adding glucose did not improve the rule-in of 30-day MACE.
Original language | English |
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Pages (from-to) | 354-361 |
Journal | Scandinavian cardiovascular journal : SCJ |
Volume | 55 |
Issue number | 6 |
Early online date | 2021 Oct 7 |
DOIs | |
Publication status | Published - 2021 |
Subject classification (UKÄ)
- Obstetrics, Gynecology and Reproductive Medicine
- Public Health, Global Health, Social Medicine and Epidemiology
- Infectious Medicine
Free keywords
- Troponin
- Glucose
- Cardiology
- Emergency Medicine
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AIR Lund: AIR Lund - Artificially Intelligent use of Registers
Björk, J. (Researcher), Ohlsson, M. (Researcher), Melander, O. (Researcher), Ekelund, U. (Researcher), Larsson, S. (Researcher), Mattsson, T. (Researcher), Mokhtari, A. (Researcher), de Vries, K. (Researcher), Nilsson, A. (Researcher), Lingman, M. (Researcher), Pashami, S. (Researcher), Ottosson, F. (Researcher), Larsson, A. E. (Administrator), Henriksen, A. (Researcher), Högberg, C. (Research student), Olsson, M. (Research student), Nyström, A. (Research student), Olsson de Capretz, P. (Research student), Björkelund, A. (Researcher), Nilsson, A. (Researcher), Åkesson, A. (Research student), Nordberg, A. (Researcher), Ekström, M. (Researcher), Tolestam Heyman, E. (Research student), Lundager Forberg, J. (Researcher), Berg, J. (Research student), Johansson, A. (Research student), Amirahmadi, A. (Research student), Eriksson, T. (Research student), Khoshnood, A. (Researcher), Mäkinen, M. (Research student), Holmberg, P. (Researcher) & Nilsson, T. N. (Research student)
2018/07/01 → 2025/12/31
Project: Research