Comprehensive validation of early diagnostic algorithms for myocardial infarction in the emergency department

Author:

Tada M123,Matano H4,Azuma H5,Kano K -I5,Maeda S5,Fujino S6,Yamada N7,Uzui H8,Tada H8,Maeno K9,Shimada Y10,Yoshida H11,Ando M12,Ichihashi T13,Murakami Y13,Homma Y14,Funakoshi H15,Obunai K16ORCID,Matsushima A17,Ohte N18ORCID,Takeuchi A19,Takada Y20,Matsukubo S21,Ando H21,Furukawa Y22,Kuriyama A23,Fujisawa T24,Chapman A R24,Mills N L2425ORCID,Hayashi H7,Watanabe N26,Furukawa T A3

Affiliation:

1. Department of Emergency Medicine, Nagoya City University East Medical Center , Aichi, Japan

2. Department of Neurology, Nagoya City University East Medical Center , Aichi, Japan

3. Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health , Kyoto, Japan

4. Department of Emergency Medicine, Fukui-Ken Saiseikai Hospital , Fukui, Japan

5. Department of Emergency Medicine, Fukui Prefectural Hospital , Fukui, Japan

6. Department of Cardiology, Vascular Center, Fukui Prefectural Hospital , Fukui, Japan

7. Department of Emergency Medicine, University of Fukui , Fukui, Japan

8. Department of Cardiovascular Medicine, University of Fukui , Fukui, Japan

9. Department of Cardiology, Fukui-Ken Saiseikai Hospital , Fukui, Japan

10. Department of Emergency Medicine, Japanese Red Cross Fukui Hospital , Fukui, Japan

11. Department of Cardiology, Japanese Red Cross Fukui Hospital , Fukui, Japan

12. Department of Emergency and Critical Care Medicine, Kariya Toyota General Hospital , Aichi, Japan

13. Department of Cardiology, Nagoya City University East Medical Center , Aichi, Japan

14. Department of Emergency Medicine, Chiba Kaihin Municipal Hospital , Chiba, Japan

15. Department of Emergency and Critical Care Medicine, Tokyo Bay Urayasu Ichikawa Medical Center , Chiba, Japan

16. Department of Cardiology, Tokyo Bay Urayasu Ichikawa Medical Center , Chiba, Japan

17. Department of Emergency Medicine and Critical Care, Nagoya City University Graduate School of Medical Sciences , Aichi, Japan

18. Department of Cardiology, Nagoya City University Graduate School of Medicine , Aichi, Japan

19. Department of Emergency Medicine, Konan Kosei Hospital , Aichi, Japan

20. Department of Cardiology, Konan Kosei Hospital , Aichi, Japan

21. Department of Emergency Medicine and General Internal Medicine, Social Medical Corporation Kyouryoukai Ichinomiya Nishi Hospital , Aichi, Japan

22. Department of Cardiology, Social Medical Corporation Kyouryoukai Ichinomiya Nishi Hospital , Aichi, Japan

23. Department of Primary Care and Emergency Medicine, Kyoto University Graduate School of Medicine , Kyoto, Japan

24. British Heart Foundation Center for Cardiovascular Science, University of Edinburgh , Edinburgh, UK

25. Usher Institute of Population Health Sciences and Informatics, University of Edinburgh , Edinburgh, UK

26. Department of Psychiatry, Soseikai General Hospital , Kyoto, Japan

Abstract

Summary Objective To comprehensively evaluate diagnostic algorithms for myocardial infarction using a high-sensitivity cardiac troponin I (hs-cTnI) assay. Patients and methods We prospectively enrolled patients with suspected myocardial infarction without ST-segment elevation from nine emergency departments in Japan. The diagnostic algorithms evaluated: (i) based on hs-cTnI alone, such as the European Society of Cardiology (ESC) 0/1-h or 0/2-h and High-STEACS pathways; or (ii) used medical history and physical findings, such as the ADAPT, EDACS, HEART, and GRACE pathways. We evaluated the negative predictive value (NPV), sensitivity as safety measures, and proportion of patients classified as low or high-risk as an efficiency measure for a primary outcome of type 1 myocardial infarction or cardiac death within 30 days. Results We included 437 patients, and the hs-cTnI was collected at 0 and 1 hours in 407 patients and at 0 and 2 hours in 394. The primary outcome occurred in 8.1% (33/407) and 6.9% (27/394) of patients, respectively. All the algorithms classified low-risk patients without missing those with the primary outcome, except for the GRACE pathway. The hs-cTnI-based algorithms classified more patients as low-risk: the ESC 0/1-h 45.7%; the ESC 0/2-h 50.5%; the High-STEACS pathway 68.5%, than those using history and physical findings (15–30%). The High-STEACS pathway ruled out more patients (20.5%) by hs-cTnI measurement at 0 hours than the ESC 0/1-h and 0/2-h algorithms (7.4%). Conclusions The hs-cTnI algorithms, especially the High-STEACS pathway, had excellent safety performance for the early diagnosis of myocardial infarction and offered the greatest improvement in efficiency.

Funder

Nakatani Foundation

Research and Study Grant in 2017, Tokyo, Japan

Radiometer

AMED

Personal Chair, Programme Grant and Research Excellence Award

British Heart Foundation

Publisher

Oxford University Press (OUP)

Subject

General Medicine

Reference32 articles.

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