Literature DB >> 32539303

Absolute Change in High-Sensitivity Cardiac Troponin I at Three Hours After Presentation is Useful for Diagnosing Acute Myocardial Infarction in the Emergency Department.

Jong Won Kim1, Hanah Kim2, Yeo-Min Yun2, Kyeong Ryong Lee1, Hyun Joong Kim3.   

Abstract

BACKGROUND: A rise and/or fall in cardiac troponin value with at least one value above the 99th percentile upper reference limit is essential for acute myocardial infarction (AMI) diagnosis. We evaluated the clinical usefulness of serial high-sensitivity cardiac troponin I (hs-cTnI) measurements in AMI diagnosis, in terms of the predictability of absolute and relative changes.
METHODS: For this retrospective, forward observational study, we enrolled 281 patients older than 18 years who presented with chest pain at the emergency department (ED) between August 2015 and December 2016. The patients were grouped as AMI and non-AMI, and 73 (26%) were diagnosed as having AMI. Hs-cTnI (Abbott Diagnostics, Abbott Park, IL, USA) was measured at presentation and 3 hours later. We assessed the diagnostic performance of the absolute and relative changes in hs-cTnI.
RESULTS: The cut-off values to predict AMI were 16.2 ng/L and 42.1% for the absolute and relative hs-cTnI changes, respectively. The area under the curve of hs-cTnI for AMI diagnosis was larger for absolute changes than for relative changes [0.96 (95% confidence interval [CI], 0.92-0.98) vs 0.89 (95% CI, 0.85-0.93)] (P=0.014).
CONCLUSIONS: The absolute hs-cTnI change at 3 hours after presentation was superior to the relative change, and a rise and/or fall in hs-cTnI of >16.2 ng/L at 3 hours after presentation was useful to identify AMI in patients presenting at the ED.

Entities:  

Keywords:  Absolute change; Acute myocardial infarction; Chest pain; Emergency department; High-sensitivity cardiac troponin I

Mesh:

Substances:

Year:  2020        PMID: 32539303      PMCID: PMC7295960          DOI: 10.3343/alm.2020.40.6.474

Source DB:  PubMed          Journal:  Ann Lab Med        ISSN: 2234-3806            Impact factor:   3.464


INTRODUCTION

Acute coronary syndromes (ACS) are life-threatening disorders associated with high mortality and morbidity, despite advances in diagnosis and treatment [1]. Many patients with ACS present at the emergency department (ED) with chest pain [2]. Early and accurate identification of acute myocardial infarction (AMI) in these patients is crucial for providing proper treatment and improving prognosis [3]. The Fourth Universal Definition of Myocardial Infarction (2018) defines AMI as the presence of acute myocardial injury, detected by abnormal cardiac biomarkers, with clinical evidence of acute myocardial ischemia [4]. Especially, cardiac troponin (cTn) is preferred over creatine kinase, creatine kinase myocardial band isoform, or myoglobin as biomarkers for the evaluation of myocardial injury, which is considered when an elevation of cTn above the 99th percentile upper reference limit (URL) is detected [4]. The detection of a rise or a fall in the cTn value is required to distinguish acute myocardial injury from a chronic one [5-7]. Non-ischemic myocardial injury may arise secondary to various cardiac conditions, such as myocarditis, or may be associated with noncardiac conditions, such as renal failure, cardiorenal syndrome, and metabolic syndrome [8-10]. In addition, the clinicians could discriminate acute injury from chronic cTn elevation condition based on a rise and/or fall in the cTn values. Therefore, serial measurements of cTn value using high-sensitivity cTn (hs-cTn) assays are incorporated in the guidelines of the European Society of Cardiology (ESC) as well as the Fourth Universal Definition of Myocardial Infarction (2018) [4, 11, 12]. Both absolute and relative changes in hs-cTn value between presentation in ED and 3 hours later are used to confirm acute events and improve the specificity of hs-cTn assays; however, it is unclear whether the absolute or relative change in hs-cTn is more appropriate to distinguish true myocardial injury [4, 13–19]. In this study, we aimed to investigate the clinical utility of absolute and relative changes in hs-cTnI at 3 hours after presentation in the ED for the diagnosis of AMI in patients suspected of having non-ST-elevation ACS in a Korean population. Further, we established the cut-off value of the absolute or relative change for AMI diagnosis.

MATERIALS AND METHODS

Study design and study population

We performed this retrospective forward observational study in the ED of the Konkuk University Medical Center, Seoul, Korea from August 2015 to December 2016. We consecutively recruited patients older than 18 years presenting symptoms suggestive of ACS, such as chest pain, chest discomfort, and epigastric discomfort, without a final diagnosis. In total, 440 patients were enrolled in this study. We excluded 81 patients who showed an onset of symptoms longer than 12 hours ago and 78 patients presenting with ST-segment elevation on 12-lead electrocardiogram (ECG). Of the remaining 281 patients, 73 (26%) patients were diagnosed as having AMI, and 208 (74%) patients were classified as non-AMI. The non-AMI group included 37 (18%) patients with unstable angina, 65 (31%) patients with cardiac symptoms from causes other than coronary artery disease, and 106 (51%) patients with non-cardiac symptoms or atypical symptoms. Patient characteristics are presented in Table 1.
Table 1

Baseline characteristics of patients

AMI (N=73)Non-AMI (N=208)P

UA (N=37)Non-ACS (N=171)
Male58 (79.5)21 (56.8)107 (62.6)0.006

Age (yr)63 (54–77)67 (59–76)55 (46–69)<0.001

Risk factor
 Hypertension41 (56.2)20 (54.1)67 (39.2)0.02
 Diabetes23 (31.5)14 (37.8)35 (20.5)0.03
 Hyperlipidemia18 (24.7)16 (43.2)33 (19.3)0.008
 Past history of AMI13 (17.8)13 (35.1)14 (8.2)<0.001

eGFR* (mL/min/1.73 m2)76 (60–87)77 (59–87)83.5 (64–90)0.014

Time of symptom onset (<3 hr)29 (39.7)13 (35.1)59 (34.5)0.7

Time to 2nd sample (min)139 (108–180)130 (105–214)154 (106–181)0.8

ECG at presentation
 ST change36 (49.3)15 (40.5)48 (28)0.005
 LBBB3 (4.1)1 (2.7)1 (0.6)0.1
 RBBB5 (6.8)1 (2.7)12 (7.0)0.6
 No significant change29 (39.7)20 (54.1)110 (64.3)0.002

Data are presented as the median (interquartile range) or number (percentage).

P was derived using the chi-squared test or Fisher’s exact test to compare AMI, UA, and non-ACS patients.

eGFR was calculated using the Modification of Diet in Renal Disease Study equation.

Abbreviations: AMI, acute myocardial infarction; eGFR, estimated glomerular filtration rate; LBBB, left bundle branch block; Non-ACS, non-acute coronary syndrome; RBBB, right bundle branch block; UA, unstable angina; ECG, electrocardiogram.

We assessed the clinical information of all patients, including their medical history, physical examination, 12-lead ECG, chest radiogram, and routine blood tests at presentation and 3 hours later. For data analysis, two cardiologists independently reviewed all available above-mentioned clinical data. While blinded to the 2nd hs-cTnI value, the two cardiologists determined the final diagnosis as follows: detection of a rise and/or fall in hs-cTnI values, with at least one value above the 99th percentile URL and with at least one of the followings: symptoms of myocardial ischemia, new ischemic ECG changes, development of pathological Q waves, imaging evidence of new regional wall motion abnormality in a pattern consistent with an ischemic etiology, or identification of a coronary thrombus by angiography [4]. All patients were categorized as AMI or non-AMI. AMI was defined according to The Fourth Universal Definition of Myocardial Infarction (2018) as the presence of evidence of myocardial necrosis in a clinical situation related to myocardial ischemia; all other patients were classified as non-AMI [4]. The non-AMI group included patients with unstable angina and non-ACS. The attending cardiologists decided on the treatment of patients according to the ESC guidelines [13]. There was no study-specific intervention or additional blood collection in this study. The study protocol was designed following the criteria of the Declaration of Helsinki. The Institutional Review Board of Konkuk University Medical Center, Seoul, Korea, exempted approval of the study protocol and waived the requirement to obtain informed consent from the patients enrolled in the study.

hs-cTnI assay

Blood was collected from the patient in a VACUETTE® LH lithium heparin separator tube (Greiner Bio-One GmbH, Kremsmünster, Austria) at the time of presentation at the ED and 3 hours later. The hs-cTnI value was measured in fresh blood using the ARCHITECT STAT High Sensitive Troponin-I chemiluminescence immunoassay on the ARCHITECT i2000SR analyzer (Abbott Diagnostics, Abbott Park, IL, USA). According to a previous study, the limit of blank of the assay was 0.5 ng/L, and the limit of detection was 1.4 ng/L. The 99th percentile (CV%) medical decision point was 20.7 ng/L in males and 16.1 ng/L in females; assay CVs at the 99th percentile ranged from 5.5% to 6.4% [20]. During the study period, three levels of quality-control materials provided by the manufacturer were run daily, and the mean within-laboratory imprecision was <4.2%. The linearity range of hs-cTnI measurement was 0–49.4 ng/L, and the carry-over was ≤1.0%.

Statistical analysis

Data are presented as the median with interquartile range for continuous variables and as number (percentage) for categorical variables. The AMI group and the non-AMI group, which included patients with unstable angina and non-ACS, were compared using the Kruskal-Wallis test with post-hoc tests, the chi-square test and Fisher’s exact test. Receiver operating characteristic (ROC) curves were generated to compare the AMI diagnostic performance of the absolute and relative changes in hs-cTnI at presentation and after 3 hours, and the area under the ROC curve (AUC) values were computed. The sensitivity and specificity were computed based on the optimal cut-off values derived from the ROC curves. The data were analyzed using IBM SPSS Statistics for Windows, version 19.0 (IBM Corp., Armonk, NY) and MedCalc Statistical Software version 19.2 (MedCalc Software bvba, Ostend, Belgium). All statistical tests were two-sided, and P<0.05 was considered significant.

RESULTS

In the AMI group, hs-cTnI values differed significantly at presentation and 3 hours later (94.0 vs 611.4 ng/L, P<0.001). In the non-AMI group, the values at the two time points were not significantly different (2.6 vs 4.1 ng/L, P=0.09) (Fig. 1).
Fig. 1

Distribution of hs-cTnI values at presentation and 3 hours later in AMI and non-AMI groups. In each graph, the Y-axis is presented as a logarithmic scale. The central box represents the values from the lower to upper quartile (25th to 75th percentile). The middle line represents the median value. The vertical line extends from minimum to maximum values.

Abbreviations: AMI, acute myocardial infarction; hs-cTnI, high-sensitivity cardiac troponin I.

The absolute change in hs-cTnI at 3 hours after presentation was significantly higher in the AMI group than in the non-AMI group (272.6 vs 0.8 ng/L, P<0.001; data not shown). The relative change in hs-cTnI at 3 hours after presentation was significantly higher in the AMI group than in the non-AMI group (436.9% vs 9.9%, P<0.001; data not shown). The AMI diagnostic performance based on the AUC value was 0.96 [95% confidence interval (CI), 0.92–0.98] for the absolute change and 0.89 (95% CI, 0.85–0.93) for the relative change. Absolute change showed significant differences relative to the other values (vs hs-cTnI at presentation, P<0.001; vs hs-cTnI at 3 hours after presentation, P<0.001; vs relative change, P=0.003). The optimal cut-off value of the absolute change at 3 hours after presentation was 16.2 ng/L, and the sensitivity and specificity were 98.6% and 84.7%, respectively. The optimal cut-off value of the relative change at 3 hours after presentation was 42.1%, and the sensitivity and specificity were 81.9% and 80.9%, respectively (Fig. 2).
Fig. 2

ROC curves for the hs-cTnI value at presentation, the hs-cTnI value at 3 hours after presentation, the absolute change in hs-cTnI, value and the relative change in hs-cTnI value for the diagnosis of AMI. Absolute change showed significant differences relative to the other values (vs hs-cTnI at presentation, P<0.001; vs hs-cTnI at 3 hours after presentation, P<0.001; vs relative change, P=0.003).

Abbreviations: AMI, acute myocardial infarction; AUC, area under the curve; CI, confidence interval; hs-cTnI, high-sensitivity cardiac troponin I; ROC, receiver-operating characteristic.

DISCUSSION

In this study, we evaluated the diagnostic performance of absolute and relative changes in hs-cTnI for the early diagnosis of AMI in patients in the ED. Our study demonstrated that the absolute change at 3 hours after presentation was superior to the relative change for diagnosing AMI. The AUC value was 0.96 for the absolute change and 0.89 for the relative change (P=0.014); thus, the absolute change in hs-cTnI was more reliable for diagnosing AMI in patients in the ED. Reichlin, et al. [21] evaluated the diagnostic performance of absolute and relative changes in hs-cTn for AMI diagnosis and demonstrated superiority of the absolute change over the relative change; these findings are consistent with ours. The hs-cTn assay can detect small amounts of cTn; thus, the initially very low cTn values in patients without AMI were measurable. Moreover, a small change in cTn in patients with initially very low cTn values can readily result in a large relative change, for example, a 50–60% change. In contrast, some AMI patients might have high baseline cTn values when they visit the ED late after symptom onset. A significant absolute change in cTn might not reach a 20% relative change in these patients. Thus, a diagnostic method using the relative change in cTn might be affected by the baseline cTn value, which would negatively impact the AMI diagnostic performance. Moreover, detecting cTn at very low values and the use of relative change also dramatically increases the false-positive rate and leads to a potentially large increase in invasive testing and diagnosis of myocardial infarction [22]. The ESC guidelines suggest that changes in the hs-cTn value in the range of 50–60% when the initial values are ≤the 99th percentile URL or changes of >20% when the initial values are ≥the 99th percentile URL be used to diagnose AMI [6, 13]. Several studies that demonstrated the AMI diagnostic performance of absolute changes in hs-cTn are listed in Table 2. These studies, using various hs-cTn assays, demonstrated that the ROC-derived absolute changes are useful regardless of the hs-cTn assay used. Interestingly, our study, in line with previous studies, revealed a high sensitivity and indicated good diagnostic performance for ruling out AMI with serial hs-cTn measurements. However, the diagnostic specificity is variable. In addition, cut-off values of the absolute change for defining AMI differ, because these depend on the assay used. Therefore, the ESC could not present a cut-off value for the absolute change in hs-cTn to define AMI [13]. To the best of our knowledge, this is the first study to report an absolute change in hs-cTnI to diagnose AMI in the ED in a Korean population. We report that an absolute change in hs-cTnI >16.2 ng/L at 3 hours after presentation should be considered for AMI diagnosis.
Table 2

Previous studies on absolute changes in hs-cTnI value for the diagnosis of AMI

ReferenceAssay (manufacturer)Interval (hr)AUC (95% CI)PROC cut-off (ng/L)Sensitivity (%, 95% CI)Specificity (%, 95% CI)
Reichlin, et al. (2011) [21] (N=836)hs-cTnT (Roche)20.95 (0.92–0.98)0.00178993
cTnI-ultra (Siemens)20.95 (0.91–099)0.001209391

Irfan, et al. (2013) [23] (N=830)hs-cTnT (Roche)20.95 (0.93–0.97)0.0278793
hs-cTnI (Beckman)20.97 (0.95–0.98)0.001109492
hs-cTnI (Siemens)20.96 (0.94–0.97)0.001109390

Yokoyama, et al. (2018) [25] (N=71)hs-cTnI (Abbot)0.50.91 (0.77–0.97)0.053.798.275

Muller, et al. (2011) [33] (N=784)hs-cTnT (Roche)60.90 (NA)0.0019.289.7 (84.0–93.9)74.8 (71.2–78.2)

Present study (N=281)hs-cTnI (Abbot)30.96 (0.92–0.98)0.00116.298.6 (92.5–99.8)84.7 (79.1–89.3)

Abbreviations: AMI, acute myocardial infarction; AUC, area under the curve; CI, confidence interval; hs-cTnI, high-sensitivity cardiac troponin I; hs-cTnT, high-sensitivity cardiac troponin T; ROC, receiver-operating characteristic; NA, not applicable.

An optimal time interval for the measurement of hs-cTn has not yet been established. ESC guidelines recommend that blood be sampled at presentation and 1–3 hours later, or earlier in the case of hs-cTn assays [13]. The diagnostic performance of hs-cTn measured with a 2-hour interval has been previously evaluated [21, 23]. Rubini Gimenez, et al. [24] studied rule-in and rule-out of AMI based on 1-hour change in hs-cTn value. Yokoyama, et al. [25] assessed the AMI diagnostic performance of the 30-minute change in hs-cTn value. However, collecting blood for retesting within such a short time may be inconvenient and ineffective in the ED. Further, such a short retest interval may reduce the AMI diagnostic performance [26, 27]. In addition, hs-cTn assays use the 99th percentile as a cut-off, which may result in a low positive predictive value (PPV) for AMI; however, the low PPV could be improved by increasing the retest interval. A few studies have demonstrated a marked improvement in the PPV for AMI of hs-cTn with a 3-hour retest interval [28-30]. For these reasons, the Asia Pacific consensus still recommends measuring hs-cTn at presentation and 3 hours later for the assessment of ACS [31]. This study had some limitations. First, this was a single-center study with a small sample size, and we focused on hs-cTnI; other troponin assays were not evaluated. Second, we assessed AMI using a specific hs-cTnI assay; therefore, our findings cannot be generalized to other facilities and patients. Moreover, when using hs-cTn assays, biological variation needs to be considered [4]. However, we did not evaluate biological variation in hs-cTnI value in the study population. Conjoint analytical and biological variation generally is in the range of 50%–60% [4]. Third, we did not evaluate any clinical benefit associated with the use of the absolute change in hs-cTnI to diagnose AMI in the ED. Further studies using our data are required to validate rule-in and/or rule-out algorithms for AMI diagnosis. Fourth, the proportion of patients who visited the ED within 3 hours after the onset of chest pain was approximately 40%. However, there was no difference in the delay time among the groups as shown in Table 1. Therefore, this might not have affected our findings. Moreover, while we attempted to collect 2nd blood samples at 3 hours after presentation at the ED, the median time was closer to 2 hours and a half. Finally, hs-cTn is not a disease-specific biomarker, although it reflects myocardial injury well as a cardiac-specific biomarker [32]. Clinicians should consider individual clinical symptoms and use other diagnostic tools to identify AMI in patients who present with chest pain. Nevertheless, it is essential to check hs-cTn elevation to identify myocardial injury in patients presenting at the ED. The mortality and complication rates were higher in patients with non-ST elevation myocardial infarction than in those with unstable angina, which is myocardial ischemia without myocardial necrosis. In addition, high hs-cTnI value correlated with the risk of major adverse cardiac events including mortality [33]. Therefore, the use of absolute changes in hs-cTn may help clinicians make an early decision on the therapeutic strategy [34]. In conclusion, absolute change in hs-cTnI at 3 hours after presentation in the ED improves the AMI diagnostic performance compared with the relative change. Based on our findings, a rise and/or fall in hs-cTnI of >16.2 ng/L seems useful to identify AMI in patients presenting with chest pain at the ED in Korea.
AUC (95% CI)PROC cut-offSensitivity (%, 95% CI)Specificity (%, 95% CI)
hs-cTnI at presentation0.76 (0.70–0.81)<0.00187.1 ng/L52.8 (40.7–64.7)89.5 (84.5–93.3)
hs-cTnI at 3 hours after presentation0.92 (0.88–0.95)<0.00148.7 ng/L88.9 (79.3–95.1)81.3 (75.4–86.4)
Absolute change0.96 (0.92–0.98)<0.00116.2 ng/L98.6 (92.5–99.8)84.7 (79.1–89.3)
Relative change0.89 (0.85–0.93)<0.00142.1%81.9 (71.1–90.0)80.9 (74.9–86.0)
  34 in total

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Authors:  Peter A Kavsak; Dennis T Ko; Xuesong Wang; Andrew R Macrae; Allan S Jaffe
Journal:  Clin Chem       Date:  2010-10-12       Impact factor: 8.327

2.  One-hour rule-in and rule-out of acute myocardial infarction using high-sensitivity cardiac troponin I.

Authors:  Maria Rubini Gimenez; Raphael Twerenbold; Cedric Jaeger; Christian Schindler; Christian Puelacher; Karin Wildi; Tobias Reichlin; Philip Haaf; Salome Merk; Ursina Honegger; Max Wagener; Sophie Druey; Carmela Schumacher; Lian Krivoshei; Petra Hillinger; Thomas Herrmann; Isabel Campodarve; Katharina Rentsch; Stefano Bassetti; Stefan Osswald; Christian Mueller
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Review 3.  High-Sensitivity Cardiac Troponin for the Diagnosis of Patients with Acute Coronary Syndromes.

Authors:  Vlad C Vasile; Allan S Jaffe
Journal:  Curr Cardiol Rep       Date:  2017-08-24       Impact factor: 2.931

4.  Safety and efficacy of the 0 h/3 h protocol for rapid rule out of myocardial infarction.

Authors:  Karin Wildi; Berit Nelles; Raphael Twerenbold; Maria Rubini Giménez; Tobias Reichlin; Hélène Singeisen; Sophie Druey; Philip Haaf; Zaid Sabti; Petra Hillinger; Cedric Jaeger; Isabel Campodarve; Philip Kreutzinger; Christian Puelacher; Zoraida Moreno Weidmann; Mathias Gugala; Gilles Pretre; Stephanie Doerflinger; Max Wagener; Fabio Stallone; Michael Freese; Claudia Stelzig; Katharina Rentsch; Stefano Bassetti; Roland Bingisser; Stefan Osswald; Christian Mueller
Journal:  Am Heart J       Date:  2016-08-07       Impact factor: 4.749

5.  "30-minute-delta" of high-sensitivity troponin I improves diagnostic performance in acute myocardial infarction.

Authors:  Hiroaki Yokoyama; Takumi Higuma; Tomohide Endo; Fumie Nishizaki; Kenji Hanada; Takashi Yokota; Masahiro Yamada; Ken Okumura; Hirofumi Tomita
Journal:  J Cardiol       Date:  2017-09-21       Impact factor: 3.159

Review 6.  High-sensitivity troponin assays: development and utility in a modern health-care system.

Authors:  Gerald Fitzgerald; R N Kerley; Thomas J Kiernan
Journal:  Expert Rev Cardiovasc Ther       Date:  2019-10-09

Review 7.  Acute coronary syndromes: morbidity, mortality, and pharmacoeconomic burden.

Authors:  Daniel M Kolansky
Journal:  Am J Manag Care       Date:  2009-03       Impact factor: 2.229

8.  Determination of high-sensitivity cardiac troponin I 99th percentile upper reference limits in a healthy Korean population.

Authors:  Misuk Ji; Hee-Won Moon; Mina Hur; Yeo-Min Yun
Journal:  Clin Biochem       Date:  2016-04-09       Impact factor: 3.281

9.  Early diagnosis of myocardial infarction using absolute and relative changes in cardiac troponin concentrations.

Authors:  Affan Irfan; Tobias Reichlin; Raphael Twerenbold; Marc Meister; Berit Moehring; Karin Wildi; Stefano Bassetti; Christa Zellweger; Maria Rubini Gimenez; Rebeca Hoeller; Karsten Murray; Seoung Mann Sou; Mira Mueller; Tamina Mosimann; Miriam Reiter; Philip Haaf; Ronny Ziller; Heike Freidank; Stefan Osswald; Christian Mueller
Journal:  Am J Med       Date:  2013-07-18       Impact factor: 4.965

10.  Close association between circulating high-sensitivity cardiac troponin I and metabolic syndrome in the general population.

Authors:  Tomonori Sugiura; Yasuaki Dohi; Hiroyuki Takase; Sumiyo Yamashita; Tatsuya Mizoguchi; Satoshi Fujii; Nobuyuki Ohte
Journal:  Hypertens Res       Date:  2019-06-21       Impact factor: 3.872

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2.  Evaluation of a cardiac troponin process flow at the chest pain center with the shortest turnaround time.

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Journal:  J Clin Lab Anal       Date:  2022-03-09       Impact factor: 2.352

3.  Effect of Outlier Elimination on the 99th Percentile Upper Reference Limits of High-Sensitivity Cardiac Troponin I Assays Based on a Strictly Selected Healthy Reference Population.

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