Pre-hospital One-Hour Troponin in a Low-Prevalence Population of Acute Coronary Syndrome: OUT-ACS study

Tonje R Johannessen, Odd Martin Vallersnes, Sigrun Halvorsen, Anne Cecilie K Larstorp, Ibrahimu Mdala, Dan Atar, Tonje R Johannessen, Odd Martin Vallersnes, Sigrun Halvorsen, Anne Cecilie K Larstorp, Ibrahimu Mdala, Dan Atar

Abstract

Objective: The European Society of Cardiology 0/1-hour algorithm for high-sensitivity cardiac troponin T (hs-cTnT) has demonstrated high rule-out safety in large hospital validation cohorts. We aimed to validate the algorithm in a primary care setting, where patients have a lower pretest probability for acute coronary syndrome.

Methods: This prospective, observational, diagnostic study included patients with acute non-specific chest pain admitted to a primary care emergency clinic in Oslo, Norway, from November 2016 to October 2018. hs-cTnT was measured after 0, 1 and 4 hours. The primary outcome measure was the diagnostic performance of the 0/1-hour algorithm, the 90-day incidence of AMI or all-cause death the secondary.

Results: Among 1711 included patients, 61 (3.6%) were diagnosed with AMI. By applying the algorithm, 1311 (76.6%) patients were assigned to the rule-out group. The negative predictive value was 99.9% (95% CI 99.5% to 100.0%), the sensitivity and specificity 98.4% (91.2-100.0) and 79.4% (77.4-81.3), respectively. Sixty-six (3.9%) patients were triaged towards rule-in, where 45 were diagnosed with AMI. The corresponding positive predictive value was 68.2% (58.3-76.7), sensitivity 73.8% (60.9-84.2), and specificity 98.7% (98.1-99.2). Among 334 (19.5%) patients assigned to the observation group in need of further tests, 15 patients had an AMI. The following 90 days, five new patients experienced an AMI and nine patients died, with a low incidence in the rule-out group (0.3%).

Conclusion: The 0/1-hour algorithm for hs-cTnT seems safe, efficient and applicable for an accelerated assessment of patients with non-specific chest pain in a primary care emergency setting.

Trial registration number: NCT02983123.

Keywords: acute coronary syndrome; cardiovascular examination; general practice; myocardial ischaemia and infarction (IHD); primary care.

Conflict of interest statement

Competing interests: DA has received speaker’s honoraria and consultancy fees from Amgen, Astra Zeneca, Bayer Healthcare, BMS, Boehringer-Ingelheim, Merck, Novartis, Pfizer and Sanofi-Aventis, and research grants from the institution by Medtronic and BMS. SH has received speaker’s honoraria and consultancy fees from Amgen, Astra Zeneca, Bayer Healthcare, BMS, Boehringer-Ingelheim, Merck, Novartis, Pfizer and Sanofi-Aventis, and has no conflicts in relation to this study.

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Patient flow diagram. Management of acute chest pain at the OAEOC and patient flowchart during the study. *, critically ill patients are directly hospitalised by the ambulance services. ACS, acute coronary syndrome; AMI, acute myocardial infarction; hs-cTnT, high-sensitivity cardiac troponin T; OAEOC, Oslo Accident and Emergency Outpatient Clinic.
Figure 2
Figure 2
Prehospital validation of the ESC 0/1-hour algorithm. The patients were assigned to rule-out, rule-in or the observation group according to the baseline hs-cTnT value or the 0–1 hour absolute change,where high safety is demonstrated in the rule-out group. Summary of the calculations with corresponding 95 % CI are presented at the bottom. *, given a >3-hour symptom onset before the first hs-cTnT sample; †, rule-in and observation group combined; ǂ, rule-out and observation group combined. AMI, acute myocardial infarction; ESC, European Society of Cardiology; LR, likelihood ratio; hs-cTnT, high-sensitivity cardiac troponin T; NPV, negative predictive value; PPV, positive predictive value.
Figure 3
Figure 3
Overall diagnostic accuracy of the 0/1-hour algorithm for hs-cTnT. The overall diagnostic accuracy for AMI during the index episode was demonstrated by the area under the ROC curve at 96.0% (95 % CI 0.94% to 0.98%). The AUC was achieved by using two cut-off values to include the observation group: (1) rule-in: sensitivity 45/61=0.74 and specificity (1310+319)/1650=0.99, (2) rule-out: sensitivity (15+45)/61=0.98 and specificity: 1310/1650=0.79. AMI, acute myocardial infarction; AUC, area under the curve; hs-cTnT, high-sensitivity cardiac troponin T; ROC, receiver operating characteristic.

References

    1. Thygesen K, Alpert JS, Jaffe AS, et al. . Third universal definition of myocardial infarction. J Am Coll Cardiol 2012;60:1581–98. 10.1016/j.jacc.2012.08.001
    1. Roffi M, Patrono C, Collet J-P, et al. . 2015 ESC guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation: Task force for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation of the European Society of cardiology (ESC). Eur Heart J 2016;37:267–315. 10.1093/eurheartj/ehv320
    1. Burman RA, Zakariassen E, Hunskaar S. Management of chest pain: a prospective study from Norwegian out-of-hours primary care. BMC Fam Pract 2014;15:51. 10.1186/1471-2296-15-51
    1. Beygui F, Castren M, Brunetti ND, et al. . Pre-Hospital management of patients with chest pain and/or dyspnoea of cardiac origin. A position paper of the acute cardiovascular care association (ACCA) of the ESC. Eur Heart J Acute Cardiovasc Care 2020;9:59–81. 10.1177/2048872615604119
    1. Harskamp RE, Laeven SC, Himmelreich JC, et al. . Chest pain in general practice: a systematic review of prediction rules. BMJ Open 2019;9:e027081. 10.1136/bmjopen-2018-027081
    1. Rasmussen MB, Stengaard C, Sørensen JT, et al. . Predictive value of routine point-of-care cardiac troponin T measurement for prehospital diagnosis and risk-stratification in patients with suspected acute myocardial infarction. Eur Heart J Acute Cardiovasc Care 2019;8:299–308. 10.1177/2048872617745893
    1. van Dongen DN, Tolsma RT, Fokkert MJ, et al. . Pre-Hospital risk assessment in suspected non-ST-elevation acute coronary syndrome: a prospective observational study. Eur Heart J Acute Cardiovasc Care 2020;9:5–12. 10.1177/2048872618813846
    1. Stopyra JP, Snavely AC, Scheidler JF, et al. . Point-Of-Care troponin testing during ambulance transport to detect acute myocardial infarction. Prehosp Emerg Care 2020:1–9. 10.1080/10903127.2020.1721740
    1. Alghamdi A, Body R. BET 1: Prehospital cardiac troponin testing to 'rule out' acute coronary syndromes using point of care assays. Emerg Med J 2018;35:572–4. 10.1136/emermed-2018-208024.2
    1. Reichlin T, Hochholzer W, Bassetti S, et al. . Early diagnosis of myocardial infarction with sensitive cardiac troponin assays. N Engl J Med 2009;361:858–67. 10.1056/NEJMoa0900428
    1. Giannitsis E, Becker M, Kurz K, et al. . High-Sensitivity cardiac troponin T for early prediction of evolving non-ST-segment elevation myocardial infarction in patients with suspected acute coronary syndrome and negative troponin results on admission. Clin Chem 2010;56:642–50. 10.1373/clinchem.2009.134460
    1. Westermann D, Neumann JT, Sörensen NA, et al. . High-Sensitivity assays for troponin in patients with cardiac disease. Nat Rev Cardiol 2017;14:472–83. 10.1038/nrcardio.2017.48
    1. Reichlin T, Schindler C, Drexler B, et al. . One-Hour rule-out and rule-in of acute myocardial infarction using high-sensitivity cardiac troponin T. Arch Intern Med 2012;172:1211–8. 10.1001/archinternmed.2012.3698
    1. Reichlin T, Twerenbold R, Wildi K, et al. . Prospective validation of a 1-hour algorithm to rule-out and rule-in acute myocardial infarction using a high-sensitivity cardiac troponin T assay. CMAJ 2015;187:E243–52. 10.1503/cmaj.141349
    1. Pickering JW, Greenslade JH, Cullen L, et al. . Assessment of the European Society of cardiology 0-Hour/1-Hour algorithm to Rule-Out and Rule-In acute myocardial infarction. Circulation 2016;134:1532–41. 10.1161/CIRCULATIONAHA.116.022677
    1. Mueller C, Giannitsis E, Christ M, et al. . Multicenter evaluation of a 0-Hour/1-Hour algorithm in the diagnosis of myocardial infarction with high-sensitivity cardiac troponin T. Ann Emerg Med 2016;68:76–87. 10.1016/j.annemergmed.2015.11.013
    1. Mokhtari A, Borna C, Gilje P, et al. . A 1-h Combination Algorithm Allows Fast Rule-Out and Rule-In of Major Adverse Cardiac Events. J Am Coll Cardiol 2016;67:1531–40. 10.1016/j.jacc.2016.01.059
    1. Twerenbold R, Neumann JT, Sörensen NA, et al. . Prospective validation of the 0/1-h algorithm for early diagnosis of myocardial infarction. J Am Coll Cardiol 2018;72:620–32. 10.1016/j.jacc.2018.05.040
    1. Statistics Norway. Table 01222 [internet], 2019. Available: [Accessed 13 Jan 2020].
    1. Blinkenberg J, Pahlavanyali S, Hetlevik Øystein, et al. . General practitioners' and out-of-hours doctors' role as gatekeeper in emergency admissions to somatic hospitals in Norway: registry-based observational study. BMC Health Serv Res 2019;19:568. 10.1186/s12913-019-4419-0
    1. Norwegian Institute of Public Health Norwegian cardiovascular disease registry: Norwegian Institute of public health, 2012. Available: [Accessed 23 Mar 2020].
    1. World Health Organisation International statistical classification of diseases and related health problems 10th revision (ICD-10. 15th edn Geneva, Switzerland: WHO Press, 2016.
    1. Egeland GM, Sundvor V, Igland J, et al. . Opportunities for diabetes research using the Norwegian cardiovascular disease registry. Nor Epidemiol 2013;23:95–100. 10.5324/nje.v23i1.1608
    1. Giannitsis E, Kurz K, Hallermayer K, et al. . Analytical validation of a high-sensitivity cardiac troponin T assay. Clin Chem 2010;56:254–61. 10.1373/clinchem.2009.132654
    1. Saenger AK, Beyrau R, Braun S, et al. . Multicenter analytical evaluation of a high-sensitivity troponin T assay. Clin Chim Acta 2011;412:748–54. 10.1016/j.cca.2010.12.034
    1. Li A, Brattsand G. Stability of serum samples and hemolysis interference on the high sensitivity troponin T assay. Clin Chem Lab Med 2011;49:335–6. 10.1515/CCLM.2011.035
    1. Bossuyt PM, Reitsma JB, Bruns DE, et al. . Stard 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ 2015;351:h5527. 10.1136/bmj.h5527
    1. Baduashvili A, Guyatt G, Evans AT. Roc Anatomy-Getting the most out of your diagnostic test. J Gen Intern Med 2019;34:1892–8. 10.1007/s11606-019-05125-0
    1. Brenner H, Gefeller O, sensitivity Vof. Variation of sensitivity, specificity, likelihood ratios and predictive values with disease prevalence. Stat Med 1997;16:981–91. 10.1002/(SICI)1097-0258(19970515)16:9<981::AID-SIM510>;2-N
    1. Deeks JJ, Altman DG. Diagnostic tests 4: likelihood ratios. BMJ 2004;329:168–9. 10.1136/bmj.329.7458.168
    1. Nestelberger T, Wildi K, Boeddinghaus J, et al. . Characterization of the observe zone of the ESC 2015 high-sensitivity cardiac troponin 0h/1h-algorithm for the early diagnosis of acute myocardial infarction. Int J Cardiol 2016;207:238–45. 10.1016/j.ijcard.2016.01.112
    1. Sulo G, Igland J, Vollset SE, et al. . Trends in incident acute myocardial infarction in Norway: an updated analysis to 2014 using national data from the CVDNOR project. Eur J Prev Cardiol 2018;25:1031–9. 10.1177/2047487318780033
    1. Scott IA. Audit-based measures of overuse of medical care in Australian hospital practice. Intern Med J 2019;49:893–904. 10.1111/imj.14346
    1. Jaffe AS, White H, Injury R-IM. Ruling-In myocardial injury and Ruling-Out myocardial infarction with the European Society of cardiology 1-hour algorithm. Circulation 2016;134:1542–5. 10.1161/CIRCULATIONAHA.116.024687

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