Literature DB >> 33395738

The change in high-sensitivity troponin-T as a risk factor for significant coronary stenosis in patients with acute coronary syndrome.

Min Chul Kim1, Seok Oh1, Youngkeun Ahn1, Keumyi Moon1, Joon Ho Ahn1, Dae Young Hyun1, Kyung Hoon Cho1, Doo Sun Sim1, Young Joon Hong1, Ju Han Kim1, Myung Ho Jeong1, Jeong Gwan Cho1, Jong Chun Park1.   

Abstract

BACKGROUND/AIMS: High-sensitivity cardiac troponin (hs-TnT) assays detect very low levels of cardiac troponin. This study examined the interval change between initial and subsequent hs-TnT levels and evaluated its ability to predict significant coronary stenosis.
METHODS: The study analyzed 163 patients who presented with acute coronary syndrome (ACS) and underwent coronary angiography (CAG) between April 2014 and May 2018. The 0 and 3-hour hs-TnT were checked. The patients were subdivided into positive (n = 32) and negative (n = 131) interval change groups. The presence of significant coronary artery stenosis on CAG in the two groups was compared.
RESULTS: The positive interval change group was older and had higher 0 and 3-hour hs-TnT and blood glucose levels than the negative interval change group. Significant coronary stenosis was more common in the positive interval change group than in the negative interval change group (68.8% vs. 23.7%, p = 0.001). However, vasospasm was more common in the negative interval change group (6.3% vs. 31.3%, p = 0.003). The positive interval change group had higher rates of bifurcation lesions and received more percutaneous coronary intervention. In multivariate analysis, age, interval change of serial hs-TnT and diabetes mellitus were independent predictors of significant coronary artery stenosis.
CONCLUSION: This study identified a relationship between the serial change in cardiac biomarkers and the presence of significant coronary stenosis in patients with ACS. Serial hs-TnT change was associated with real angiographic stenosis in patients with ACS.

Entities:  

Keywords:  Acute coronary syndrome; Coronary stenosis; Troponin T

Mesh:

Substances:

Year:  2021        PMID: 33395738      PMCID: PMC8137410          DOI: 10.3904/kjim.2020.090

Source DB:  PubMed          Journal:  Korean J Intern Med        ISSN: 1226-3303            Impact factor:   2.884


INTRODUCTION

In South Korea, the incidence of acute coronary syndrome (ACS), including acute myocardial infarction (AMI), is increasing gradually and becoming a serious socioeconomic problem [1]. In the emergency setting, an early diagnosis of myocardial infarction (MI) is advantageous for patients and the physicians treating them [2]. Therefore, several rapid diagnosis methods have been devised, and cardiac biomarkers are considered the most important [3-7]. Cardiac troponin is the biomarker of choice for diagnosing myocardial necrosis, as it is considered the most sensitive and specific biomarker of myocardial injury [8,9]. High-sensitivity troponin (hs-Tn) has emerged for the assessment of acute chest pain and the improved sensitivity allows the identification of practically any amount of myocardial necrosis [10,11]. The marked evolution of these cardiac biomarker assays has reduced the time interval to the second Tn assessment. If hs-Tn is available, a rapid ‘rule-out’ protocol (3-hour hs-Tn) is recommended [12-14]. Furthermore, Reichlin et al. [15] introduced a 1-hour ‘rule-out’ algorithm as a faster diagnostic tool than the 3-hour ‘rule-out’ protocol. However, no studies have examined a rapid ‘rule-out’ algorithm using high-sensitivity troponin T (hs-TnT) in Korean patients with ACS. In addition, there is little information on the prediction of significant coronary artery stenosis using hs-TnT. We hypothesized that if the change in myocardial enzymes is significant, there would be a high likelihood that significant coronary artery stenosis is present in patients with chest pain and suspected non-ST-segment elevation ACS (NSTE-ACS).

METHODS

Study population

From April 2014 to May 2018, 484 patients presented to our tertiary center with acute chest pain suspected of being ACS, which developed within 6 hours. The initial hs-TnT (or 0-hour hs-TnT) was tested routinely. To estimate the interval change in cardiac enzymes, hs-TnT was re-checked 3 hours after presentation and defined as the 3-hour hs-TnT. The study flowchart is shown in Fig. 1. The following patients were excluded from the study: (1) those with duration of chest pain > 6 hours; (2) those with possible ‘rule-in’ MI; (3) those with medical conditions that could affect Tn levels (e.g., systemic infection, acute cerebrovascular accident, tachyarrhythmia, renal disease, heart failure, or other acute medical conditions rather than ACS); and (4) those who previously underwent an interventional cardiac procedure. Patients with a 0-hour hs-TnT ≥ 0.1 ng/mL or who presented with electrocardiogram findings suggesting ST-segment elevation were excluded because they were identified as a ‘rule-in’ MI. Patients with a history of coronary artery disease, previous percutaneous coronary intervention (PCI), or previous coronary artery bypass graft were also excluded. The patients who required cardiopulmonary resuscitation during admission, were in cardiogenic shock, or had chronic heart failure were excluded because these conditions may affect the initial Tn levels. Patients who did not undergo coronary angiography (CAG) were excluded. Ultimately, the study enrolled 163 patients. These were subdivided into hs-cTnT positive (n = 32) and negative (n = 131) interval change groups. This study was a prospective, non-randomized, observational study. The study protocol was approved by the Chonnam National University Hospital Institutional Review Board (IRB No. CNUH-2014-124). Informed consent was obtained from all study participants.
Figure 1

Study flowchart. ACS, acute coronary syndrome; CABG, coronary artery bypass graft; CAG, coronary angiography; hs-TnT, high-sensitivity troponin T; PCI, percutaneous coronary intervention.

Study definitions and endpoint

Blood samples were collected in serum-separating tubes. Samples were obtained from 484 patients immediately after emergency room visits. The hs-TnT level was measured by Roche e411 (Roche Diagnostics, Rotkreuz, Switzerland). An interval change in serial hs-TnT was defined as follows: (1) 3-hour hs-TnT ≥ 0.014 ng/mL and more than 50% greater than 0-hour hs-TnT in patients with a 0-hour hs-TnT < 0.014 ng/mL; or (2) 3-hour hs-TnT ≥ 0.014 ng/mL and more than 20% greater than 0-hour hs-TnT in patients with a 0-hour hs-TnT ≥ 0.014 ng/mL. The current cutoff value for the hs-TnT assay is 0.014 ng/mL [9]. Although the 2015 European Society of Cardiology (ESC) guidelines recommend invasive management for patients with acute chest pain if 3-hour hs-TnT is greater than 0.014 ng/mL [5], we defined positive or negative interval change groups according to an older guideline that subdivided patients with 3-hour hs-TnT ≥ 0.014 ng/mL into two groups [16]. The clinical manifestations of NSTE-ACS reference the 2015 ESC guidelines, as follows: (1) prolonged (over 20 minutes) angina at rest; (2) new-onset class II or III angina of the Canadian Cardiovascular Society (CCS) classification; (3) recent destabilization of previously stable angina with at least CCS class III angina (crescendo angina); and (4) post-MI angina. The term non-ST-segment elevation myocardial infarction (NSTEMI) was used when there was evidence of myocardial necrosis (defined as an elevated troponin value with at least one value above the 99th percentile upper reference limit) and the aforementioned clinical features [5]. In this study, hs-TnT was used as a cardiac biomarker to determine whether the subjects had unstable angina or MI. In this study, significant coronary artery stenosis was confirmed by CAG and defined as follows: (1) ≥ 50% diameter stenosis identified in the left main coronary artery at CAG; or (2) ≥ 70% diameter stenosis identified in coronary arteries other than the left main coronary artery at CAG. Multi-vessel disease was determined when there were significant coronary stenoses in two or more epicardial coronary arteries. A bifurcation lesion was defined as narrowing of a coronary artery adjacent to or involving the origin of a significant side branch [17]. Vasospasm was defined as a > 90% reduction in diameter on the ergonovine provocation test or a spontaneous, dynamic > 90% decrease in diameter observed during CAG. The medical and social histories were obtained using a questionnaire. The conventional cardiac risk factors included were hypertension, diabetes, dyslipidemia, stroke, and smoking status. Body data such as height (m) and weight (kg) were measured by experienced nurses and body mass index (BMI, kg/m2) was calculated. Blood was tested in all subjects on admission, including white blood cell count, hemoglobin level, platelet count, serum glucose, serum creatinine, and hs-TnT. The hs-TnT was measured at presentation and 3 hours later. All study subjects underwent echocardiography and CAG. The left ventricular ejection fraction was considered an indicator of ventricular systolic function on transthoracic echocardiography. Patients who had an interval change underwent CAG between admission and hospital discharge, while patients who were negative for an interval change underwent CAG within 1 to 2 months of admission via a hospital visit. The coronary arteries were assessed quantitatively and qualitatively using CAG. If significant coronary artery stenosis was found at CAG, PCI was performed simultaneously.

Statistical analysis

All statistical analyzes were performed using SPSS for Windows version 25.0 (IBM Co., Armonk, NY, USA). Continuous variables are expressed as the mean ± standard deviation. Discrete (categorical) variables are expressed as percentages and counts. Student’s t test was used to analyze the difference between two independent groups of continuous variables. In the analysis of categorical variables, the difference between the observed and expected frequencies was confirmed by Pearson’s chi-square test. To demonstrate the impact of the interval change in hs-TnT on the presence of significant coronary artery stenosis, the odds ratio (OR) and 95% confidence interval (CI) were calculated using univariable and multivariable logistic regression analysis. The ORs were adjusted according to the variables that had statistical significance (p < 0.05) in the univariable analysis in the multivariable model.

RESULTS

Baseline characteristics

Table 1 compares the baseline clinical characteristics. There was no significant difference between the two groups in age (60.09 ± 10.40 years vs. 57.79 ± 11.74 years, p = 0.312), proportion ≥ 65 years old (34.4% vs. 28.2%, p = 0.495), or proportion of males (71.9% vs. 65.6%, p = 0.502). The positive interval change group had higher 0-hour hs-TnT level (0.020 ± 0.014 ng/mL vs. 0.011 ± 0.008 ng/mL, p = 0.001), proportion of 0-hour hs-TnT ≥ 0.014 ng/mL (56.3% vs. 16.0%, p = 0.001), and 3-hour hs-TnT level (0.150 ± 0.206 ng/mL vs. 0.010 ± 0.007 ng/mL, p = 0.050) than the negative interval change group. The laboratory tests did not differ significantly, except for the serum glucose level (151.90 ± 57.92 ng/mL vs. 115.07 ± 29.68 mg/dL, p = 0.031). There was no difference in conventional cardiac risk factors such as hypertension, diabetes mellitus, and dyslipidemia in both groups.
Table 1

Baseline characteristics

CharacteristicPositive interval change (n = 32)Negative interval change (n = 131)p value
Age, yr60.09 ± 10.4057.79 ± 11.740.312
 Age ≥ 65 yr11 (34.4)37 (28.2)0.495
Male sex23 (71.9)86 (65.6)0.502
 BMI, kg/m225.22 ± 2.8724.53 ± 2.970.268
BMI ≥ 25 kg/m216 (55.2)41 (36.9)0.075
0 hr hs-TnT, ng/mL0.020 ± 0.0140.011 ± 0.0080.001
 0 hr hs-TnT ≥ 0.014 ng/mL18 (56.3)19 (16.0)< 0.001
3 hr hs-TnT, ng/mL0.150 ± 0.2060.010 ± 0.0070.001
 3 hr hs-TnT ≥ 0.014 ng/mL32 (100)16 (13.6)< 0.001
White blood cell, × 1,000/μL7,950 ± 21407,200 ± 1,9900.070
Hemoglobin, g/dL14.15 ± 1.5214.17±1.490.971
Platelet, × 1,000/μL220.17 ± 57.96226.56 ± 57.280.585
Glucose, mg/dL151.90 ± 57.92115.07 ± 29.680.002
Creatinine, mg/dL0.76 ± 0.180.77 ± 0.180.963
Previous medical history
 Hypertension15 (50.0)44 (35.5)0.142
 Diabetes mellitus7 (23.3)18 (14.5)0.240
 Dyslipidemia9 (30.0)26 (21.0)0.333
 Stroke03 (2.4)0.617
 Current or ex-smoking13 (43.3)52 (41.9)0.889
Left ventricular ejection fraction, %65.13 ± 7.8165.60 ± 6.000.759

Values are presented as mean ± SD or number (%).

BMI, body mass index; hs-TnT, high-sensitivity troponin T.

Coronary angiographic characteristics

Table 2 summarizes the angiographic findings of both groups. There was a marked difference in the presence of significant coronary artery stenosis (68.8% vs. 23.7%, p = 0.001). There was a higher proportion of reduced initial thrombolysis in myocardial infarction (TIMI) flow (i.e., initial TIMI flow 0, I, and II) in the positive interval change group (53.1% vs. 13.7%, p < 0.001). The positive interval change group had a higher rate of bifurcation lesions (12.5% vs. 2.3%, p = 0.028), but a lower proportion of vasospastic components (6.3% vs. 31.3%, p = 0.003). A higher proportion of the positive interval change group underwent PCI (65.6% vs. 22.9%, p < 0.001).
Table 2

Angiographic and procedural characteristics

CharacteristicPositive interval change (n = 32)Negative interval change (n = 131)p value
Significant coronary stenosis22 (68.8)31 (23.7)0.001
Pre-TIMI flow 0–217 (53.1)18 (13.7)< 0.001
Multivessel disease6 (18.8)11 (8.4)0.086
Bifurcation lesion4 (12.5)3 (2.3)0.028
Left main disease2 (6.3)4 (3.1)0.335
Vasospasm2 (6.3)41 (31.3)0.003
PCI21 (65.6)30 (22.9)< 0.001
 Total number of stents1.47 ± 0.611.66 ± 1.010.486
 Stent diameter per lesion, mm3.18 ± 0.523.07 ± 0.500.481
 Stent length per lesion, mm23.98 ± 7.6723.52 ± 7.950.842
 Drug-eluting stent18 (94.7)27 (93.1)0.819

Values are presented as number (%) or mean ± SD.

TIMI, thrombolysis in myocardial infarction; PCI, percutaneous coronary intervention.

Independent predictors of significant coronary artery stenosis

The univariable and multivariable analyses of predictors of significant coronary stenosis are described in Tables 3 and 4, respectively. In the univariable analyses, age, 0-hour hs-TnT, 3-hour hs-TnT, interval change of serial hs-TnT, serum glucose level and history of diabetes mellitus were associated with significant coronary stenosis (Table 3). Multivariable analysis was performed on these significant variables, and age (adjusted OR, 1.054; 95% CI, 1.013 to 1.097; p = 0.024), interval change of serial hs-TnT (adjusted OR, 10.196; 95% CI, 3.571 to 29.111; p = 0.001), and history of diabetes mellitus (adjusted OR, 3.390; 95% CI, 1.216 to 9.451; p = 0.013) were identified as independent predictors of the presence of significant coronary artery stenosis (Table 4).
Table 3

Univariable logistic regression analysis for significant coronary stenosis

CharacteristicUnadjusted OR95% CIp value
Age1.0521.019–1.0860.002
Male sex1.5920.772–3.2830.208
BMI ≥ 25 kg/m21.2600.628–2.5250.515
0 hr hs-TnT ≥ 0.014 ng/mL3.0151.403–6.4770.005
3 hr hs-TnT ≥ 0.014 ng/mL4.5502.184–9.478< 0.001
Interval change of serial hs-TnTa7.0973.036–16.590< 0.001
Serum glucose, mg/dL1.0111.002–1.0200.017
Serum creatinine, mg/dL4.6970.709–31.1160.109
Hypertension1.8200.915–3.6210.088
Diabetes mellitus4.0291.656–9.8030.002
Dyslipidemia1.5370.704–3.3570.281
Previous history of stroke1.0410.092–11.7580.974
Current or ex-smoking0.9870.499–1.9550.971
Left ventricular ejection fraction, %0.9470.897–1.0010.053

OR, odds ratio; CI, confidence interval; BMI, body mass index; hs-TnT, high-sensitivity troponin T.

Definition is described on the Method section.

Table 4

Independent predictors of significant coronary stenosis

VariableAdjusted OR95% CIp value
Age1.0541.013–1.0970.024
Interval change of serial hs-TnTa10.1963.571–29.1110.001
Diabetes mellitus3.3901.216–9.4510.013

OR, odds ratio; CI, confidence interval; hs-TnT, high-sensitivity troponin T.

Definition is described on the Method section.

DISCUSSION

This study examined the association between significant coronary stenosis and the interval change of serial cardiac biomarkers. A higher proportion of significant stenosis was observed in the positive interval change group. In the positive group, the 0 and 3-hour hs-TnT were higher than in the negative group. As there was a higher rate of significant coronary stenosis in the positive group, the proportion undergoing PCI was also higher in that group. Multivariable analysis of the risk factors for significant coronary stenosis demonstrated that the interval change in serial cardiac biomarkers was the most important predictor of severe artery coronary stenosis angiographically. The advent of the hs-TnT assay has led to the development of a method for the rapid assessment of ‘rule-out’ and ‘rule-in’ AMI [9,12,18,19]. Many studies have examined hs-TnT worldwide. Recent guidelines mention the early ‘rule-out’ method for AMI. This method is based on the hs-TnT assay and sampling at 0 and 1 hour. This algorithm includes two conditions to rule out MI: (1) hs-Tn is a continuous variable and the probability of MI increases with hs-Tn; and (2) early absolute changes in the level within 1 hour can be interpreted as surrogates of absolute changes over 3 or 6 hours and add incremental diagnostic value to the assessment of cardiac troponin at admission. This ‘rule-out’ algorithm should always be integrated with a detailed clinical assessment. It is also mandatory to evaluate the 12-lead electrocardiogram and repeat blood sampling including Tn for all cases of ongoing or recurrent angina. We hypothesized that cardiac troponin, especially hs-TnT, can predict the presence of angiographic significant coronary stenosis. In many cases of MI, actual significant coronary stenosis may not be present [20-23]. CAG is needed to determine whether stenosis exists. All NSTE-ACS cases that have a rise or fall in Tn compatible with MI are classified as high-risk patients, and should undergo CAG within 24 hours, according to the 2015 ESC guidelines [5]. All STEMI cases should undergo primary PCI within 12 hours, according to the 2017 ESC guidelines [24]. Indeed, the greater the likelihood of having significant coronary stenosis is, the greater the need for early revascularization. A few studies describe the relationship between cardiac biomarkers and significant coronary stenosis. von Jeinsen et al. [25] noted that cardiac troponin-I is useful for diagnosing significant obstructive coronary artery disease in the hemodynamically stable setting of suspected AMI with special electrocardiographic findings, such as bundle branch block or a wide QRS complex. Sanchis et al. [26] measured hs-TnT at the time of presentation and after 6 hours in patients presenting with non-STE acute chest pain and elevated hs-TnT, estimated the maximum hs-cTnT and interval change in hs-TnT, and optimized the cut-off values. They noted that low maximum and low interval changes in hs-TnT were associated with angiographically proven no-stenosis. In this study, we selected 3-hour hs-TnT as the reference value for a change in cardiac biomarkers. The 2015 ESC guidelines recommend applying the 0/3-hour ‘rule-out’ algorithm of NSTE-ACS using the hs-TnT assay [5]. In accordance with prior studies regarding the hs-TnT assay, we set the upper normal limit of 3-hour hs-cTnT as 0.014 ng/mL [9,27]. We included NSTEMI with hs-TnT of at least 0.14 ng/mL and at most 0.1 ng/mL. In such patients, it may be difficult to predict the presence of significant coronary stenosis, so these may be considered ‘gray zone’ patients clinically. In these ‘gray zone’ cases, we found that the interval change in hs-TnT predicts some coronary stenotic lesions before CAG. This supports the evidence for performing CAG. As expected, both 0 and 3-hour hs-TnT were significantly higher in the positive interval change group. Interestingly, the proportion of patients with a significant vasospasm was statistically higher in the negative group. In other words, if ACS is suspected, but the serial changes in cardiac markers are not significant, vasospastic angina may contribute to the clinical situation. Vasospastic angina was diagnosed when spontaneous spasm or ergonovine-induced spasm occurred. If no spontaneous spasm occurred, the ergonovine provocation test was only performed in patients with clinical suspicion of vasospastic angina. However, the prevalence of vasospasm in the negative hs-TnT group was relatively high (6.3% vs. 31.3%, p = 0.003). Therefore, routine vasospasm provocation test can be considered in patients with moderately elevated hs-TnT. The 1-hour ‘rule-in’ algorithm was introduced in the 2015 ESC guidelines. However, it was not available in our institution at the time of this study. Our study had several limitations. First, there is no expert consensus on how to determine the interval change in cardiac biomarkers. Many studies define the interval change as the arithmetic difference between the 0-hour cardiac 0 and subsequent estimated Tn level [12-14]. However, we determined the interval change using a slightly different method. Second, the symptom duration might have affected study outcomes. Patients with long symptom duration likely had pre-conditioned myocardium and rich collateral flows in coronary artery circulation, and these aspects might have influenced the study results. Although patients in the current study had symptom durations of less than 6 hours, there was no exact information regarding symptom duration in the case report form. Third, there was some diversity among the underlying clinical characteristics. Fourth, the study was conducted in a single medical center with a small sample size. Therefore, caution is needed when interpreting the results. Finally, this study did not include follow-up information on the clinical prognosis of the subjects. Therefore, large randomized trials should examine the clinical outcomes in both groups. In conclusion, the change in serial hs-TnT was associated with real angiographic severe stenosis in patients with ACS. A multicenter study with a large number of patient samples is needed. 1. A higher proportion of significant stenosis was observed in the positive interval change group, according to the 3-hour algorithm (68.8% vs. 23.7%). 2. Coronary vasospasm was more common in the negative interval change group (6.3% vs. 31.3%). 3. Serial high-sensitivity troponin T change was associated with real angiographic stenosis in patients with acute coronary syndrome.
  26 in total

Review 1.  Lessons from sudden coronary death: a comprehensive morphological classification scheme for atherosclerotic lesions.

Authors:  R Virmani; F D Kolodgie; A P Burke; A Farb; S M Schwartz
Journal:  Arterioscler Thromb Vasc Biol       Date:  2000-05       Impact factor: 8.311

2.  How to use high-sensitivity cardiac troponins in acute cardiac care.

Authors:  Kristian Thygesen; Johannes Mair; Evangelos Giannitsis; Christian Mueller; Bertil Lindahl; Stefan Blankenberg; Kurt Huber; Mario Plebani; Luigi M Biasucci; Marco Tubaro; Paul Collinson; Per Venge; Yonathan Hasin; Marcello Galvani; Wolfgang Koenig; Christian Hamm; Joseph S Alpert; Hugo Katus; Allan S Jaffe
Journal:  Eur Heart J       Date:  2012-06-21       Impact factor: 29.983

3.  Usefulness of high-sensitivity troponin T for the evaluation of patients with acute chest pain and no or minimal myocardial damage.

Authors:  Juan Sanchis; Alfredo Bardají; Xavier Bosch; Pablo Loma-Osorio; Francisco Marín; Pedro L Sánchez; Julio Núñez; Arturo Carratalá; José A Barrabés
Journal:  Am Heart J       Date:  2012-08       Impact factor: 4.749

4.  For a rapid diagnosis of acute myocardial infarction, a sensitive troponin assay is needed in the near-patient testing setting.

Authors:  Peter A Kavsak; Andrew Worster
Journal:  Expert Rev Cardiovasc Ther       Date:  2012-03

5.  Rapid exclusion of acute myocardial infarction in patients with undetectable troponin using a high-sensitivity assay.

Authors:  Richard Body; Simon Carley; Garry McDowell; Allan S Jaffe; Michael France; Kennedy Cruickshank; Christopher Wibberley; Michelle Nuttall; Kevin Mackway-Jones
Journal:  J Am Coll Cardiol       Date:  2011-09-20       Impact factor: 24.094

6.  Patients with no significant lesions in coronary arteries and ST-segment elevation myocardial infarction have worse outcome than patients with non-ST-segment elevation myocardial infarction: analysis from PL-ACS Registry.

Authors:  Anna Maria Frycz-Kurek; Marek Gierlotka; Mariusz Gąsior; Krzysztof Wilczek; Andrzej Lekston; Zbigniew Kalarus; Lech Poloński
Journal:  Kardiol Pol       Date:  2010-11       Impact factor: 3.108

7.  Early diagnosis of myocardial infarction with sensitive cardiac troponin assays.

Authors:  Tobias Reichlin; Willibald Hochholzer; Stefano Bassetti; Stephan Steuer; Claudia Stelzig; Sabine Hartwiger; Stefan Biedert; Nora Schaub; Christine Buerge; Mihael Potocki; Markus Noveanu; Tobias Breidthardt; Raphael Twerenbold; Katrin Winkler; Roland Bingisser; Christian Mueller
Journal:  N Engl J Med       Date:  2009-08-27       Impact factor: 91.245

8.  2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: The Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC).

Authors:  Borja Ibanez; Stefan James; Stefan Agewall; Manuel J Antunes; Chiara Bucciarelli-Ducci; Héctor Bueno; Alida L P Caforio; Filippo Crea; John A Goudevenos; Sigrun Halvorsen; Gerhard Hindricks; Adnan Kastrati; Mattie J Lenzen; Eva Prescott; Marco Roffi; Marco Valgimigli; Christoph Varenhorst; Pascal Vranckx; Petr Widimský
Journal:  Eur Heart J       Date:  2018-01-07       Impact factor: 29.983

9.  Undetectable high-sensitivity cardiac troponin T level in the emergency department and risk of myocardial infarction.

Authors:  Nadia Bandstein; Rickard Ljung; Magnus Johansson; Martin J Holzmann
Journal:  J Am Coll Cardiol       Date:  2014-03-30       Impact factor: 24.094

10.  Troponin I Assay for Identification of a Significant Coronary Stenosis in Patients with Suspected Acute Myocardial Infarction and Wide QRS Complex.

Authors:  Beatrice von Jeinsen; Stergios Tzikas; Gerhard Pioro; Lars Palapies; Tanja Zeller; Christoph Bickel; Karl J Lackner; Stephan Baldus; Stefan Blankenberg; Thomas Muenzel; Andreas M Zeiher; Till Keller
Journal:  PLoS One       Date:  2016-05-05       Impact factor: 3.240

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