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Liu L, Lewandrowski K. Establishing optimal cutoff values for high-sensitivity cardiac troponin algorithms in risk stratification of acute myocardial infarction. Crit Rev Clin Lab Sci 2024; 61:1-22. [PMID: 37466395 DOI: 10.1080/10408363.2023.2235426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 06/11/2023] [Accepted: 07/07/2023] [Indexed: 07/20/2023]
Abstract
Acute myocardial infarction (AMI) is a leading cause of mortality globally, highlighting the need for timely and accurate diagnostic strategies. Cardiac troponin has been the biomarker of choice for detecting myocardial injury. A dynamic change in concentrations supports the diagnosis of AMI in the setting of evidence of acute myocardial ischemia. The new generation of high-sensitivity cardiac troponin (hs-cTn) assays has significantly improved analytical sensitivity but at the expense of decreased clinical specificity. As a result, sophisticated algorithms are required to differentiate AMI from non-AMI patients. Establishing optimal hs-cTn cutoffs for these algorithms to rule out and rule in AMI has been the subject of intensive investigations. These efforts have evolved from examining the utility of the hs-cTn 99th percentile upper reference limit, comparing the percentage versus absolute delta thresholds, and evaluating the performance of an early European Society of Cardiology-recommended 3 h algorithm, to the development of accelerated 1 h and 2 h algorithms that combine the admission hs-cTn concentrations and absolute delta cutoffs to rule out and rule in AMI. Specific cutoffs for individual confounding factors such as sex, age, and renal insufficiency have also been investigated. At the same time, concerns such as whether the small delta thresholds exceed the analytical and biological variations of hs-cTn assays and whether the algorithms developed in European study populations fit all other patient cohorts have been raised. In addition, the accelerated algorithms leave a substantial number of patients in a non-diagnostic observation zone. How to properly diagnose patients falling in this zone and those presenting with elevated baseline hs-cTn concentrations due to the presence of confounding factors or comorbidities remain open questions. Here we discuss the developments described above, focusing on criteria and underlying considerations for establishing optimal cutoffs. In-depth analyses are provided on the influence of biological variation, analytical imprecision, local AMI rate, and the timing of presentation on the performance metrics of the accelerated hs-cTn algorithms. Developing diagnostic strategies for patients who remain in the observation zone and those presenting with confounding factors are also reviewed.
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Affiliation(s)
- Li Liu
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Kent Lewandrowski
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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2
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Fischer BG, Evans AT. High-Sensitivity Cardiac Troponin Algorithms and the Value of Likelihood Ratios. J Gen Intern Med 2023; 38:2189-2193. [PMID: 36882634 PMCID: PMC10361949 DOI: 10.1007/s11606-023-08103-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 02/09/2023] [Indexed: 03/09/2023]
Abstract
High-sensitivity cardiac troponin (hs-cTn) is now the recommended biomarker for diagnosis of non-ST-elevation myocardial infarction, but proper interpretation varies based on the assay being used. Nearly uniformly, suggested interpretations of assay-specific hs-cTn results are based on predictive values, which are not applicable to most patients. Through application of a published hs-cTn algorithm to several patient scenarios, we will demonstrate that likelihood ratios are superior to predictive values for patient-centered test interpretation and decision-making. Furthermore, we will provide a blueprint for how to use existing published data presented with predictive values to calculate likelihood ratios. Changing the output of diagnostic accuracy studies and diagnostic algorithms from predictive values to likelihood ratios can improve patient care.
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Affiliation(s)
- Brett G Fischer
- Weill Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
| | - Arthur T Evans
- Weill Department of Medicine, Weill Cornell Medicine, New York, NY, USA
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Mihalovic M, Mikulenka P, Línková H, Neuberg M, Štětkářová I, Peisker T, Lauer D, Tousek P. Prevalence of myocardial injury in patients after acute ischaemic stroke according to standard criteria. Eur Heart J Suppl 2023; 25:E3-E9. [PMID: 37234232 PMCID: PMC10206909 DOI: 10.1093/eurheartjsupp/suad104] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
This study examined the prevalence of acute and chronic myocardial injury according to standard criteria in patients after acute ischaemic stroke (AIS) and its relation to stroke severity and short-term prognosis. Between August 2020 and August 2022, 217 consecutive patients with AIS were enrolled. Plasma levels of high-sensitive cardiac troponin I (hs-cTnI) were measured in blood samples obtained at the time of admission and 24 and 48 h later. The patients were divided into three groups according to the Fourth Universal Definition of Myocardial Infarction: no injury, chronic injury, and acute injury. Twelve-lead ECGs were obtained at the time of admission, 24 and 48 h later, and on the day of hospital discharge. A standard echocardiographic examination was performed within the first 7 days of hospitalization in patients with suspected abnormalities of left ventricular function and regional wall motion. Demographic characteristics, clinical data, functional outcomes, and all-cause mortality were compared between the three groups. The National Institutes of Health Stroke Scale (NIHSS) at the time of admission and the modified Rankin Scale (mRS) 90 days following hospital discharge were used to assess stroke severity and outcome. Elevated hs-cTnI levels were measured in 59 patients (27.2%): 34 patients (15.7%) had acute myocardial injury and 25 patients (11.5%) had chronic myocardial injury within the acute phase after ischaemic stroke. An unfavourable outcome, evaluated based on the mRS at 90 days, was associated with both acute and chronic myocardial injury. Myocardial injury was also strongly associated with all-cause death, with the strongest association in patients with acute myocardial injury, at 30 days and at 90 days. Kaplan-Meier survival curves showed that all-cause mortality was significantly higher in patients with acute and chronic myocardial injury than in patients without myocardial injury (P < 0.001). Stroke severity, evaluated with the NIHSS, was also associated with acute and chronic myocardial injury. A comparison of the ECG findings between patients with and without myocardial injury showed a higher occurrence in the former of T-wave inversion, ST segment depression, and QTc prolongation. In echocardiographic analysis, a new abnormality in regional wall motion of the left ventricle was identified in six patients. Chronic and acute myocardial injury with hs-cTnI elevation after AIS are associated with stroke severity, unfavourable functional outcome, and short-term mortality.
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Affiliation(s)
- Michal Mihalovic
- Cardiocenter, Charles University-Third Faculty of Medicine, Ruská 87, 100 00 Prague, Czech Republic
| | - Petr Mikulenka
- Department of Neurology, Third Faculty of Medicine, University Hospital Kralovske Vinohrady, Charles University, Ruská 87, 100 00 Prague, Czech Republic
| | - Hana Línková
- Cardiocenter, Charles University-Third Faculty of Medicine, Ruská 87, 100 00 Prague, Czech Republic
| | - Marek Neuberg
- Medtronic Czechia, Partner of INTERCARDIS, Prosecká 852/66, 190 00 Prague, Czech Republic
| | - Ivana Štětkářová
- Department of Neurology, Third Faculty of Medicine, University Hospital Kralovske Vinohrady, Charles University, Ruská 87, 100 00 Prague, Czech Republic
| | - Tomáš Peisker
- Department of Neurology, Third Faculty of Medicine, University Hospital Kralovske Vinohrady, Charles University, Ruská 87, 100 00 Prague, Czech Republic
| | - David Lauer
- Department of Neurology, Third Faculty of Medicine, University Hospital Kralovske Vinohrady, Charles University, Ruská 87, 100 00 Prague, Czech Republic
| | - Petr Tousek
- Corresponding author. Fax: +420 267 163 388,
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Ashburn NP, Snavely AC, O’Neill JC, Allen BR, Christenson RH, Madsen T, Massoomi MR, McCord JK, Mumma BE, Nowak R, Stopyra JP, in’t Veld MH, Wilkerson RG, Mahler SA. Performance of the European Society of Cardiology 0/1-Hour Algorithm With High-Sensitivity Cardiac Troponin T Among Patients With Known Coronary Artery Disease. JAMA Cardiol 2023; 8:347-356. [PMID: 36857071 PMCID: PMC9979014 DOI: 10.1001/jamacardio.2023.0031] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 12/29/2022] [Indexed: 03/02/2023]
Abstract
Importance The European Society of Cardiology (ESC) 0/1-hour algorithm is a validated high-sensitivity cardiac troponin (hs-cTn) protocol for emergency department patients with possible acute coronary syndrome. However, limited data exist regarding its performance in patients with known coronary artery disease (CAD; prior myocardial infarction [MI], coronary revascularization, or ≥70% coronary stenosis). Objective To evaluate and compare the diagnostic performance of the ESC 0/1-hour algorithm for 30-day cardiac death or MI among patients with and without known CAD and determine if the algorithm could achieve the negative predictive value rule-out threshold of 99% or higher. Design, Setting, and Participants This was a preplanned subgroup analysis of the STOP-CP prospective multisite cohort study, which was conducted from January 25, 2017, through September 6, 2018, at 8 emergency departments in the US. Patients 21 years or older with symptoms suggestive of acute coronary syndrome without ST-segment elevation on initial electrocardiogram were included. Analysis took place between February and December 2022. Interventions/Exposures Participants with 0- and 1-hour high-sensitivity cardiac troponin T (hs-cTnT) measures were stratified into rule-out, observation, and rule-in zones using the ESC 0/1-hour hs-cTnT algorithm. Main Outcomes and Measures Cardiac death or MI at 30 days determined by expert adjudicators. Results During the study period, 1430 patients were accrued. In the cohort, 775 individuals (54.2%) were male, 826 (57.8%) were White, and the mean (SD) age was 57.6 (12.8) years. At 30 days, cardiac death or MI occurred in 183 participants (12.8%). Known CAD was present in 449 (31.4%). Among patients with known CAD, the ESC 0/1-hour algorithm classified 178 of 449 (39.6%) into the rule-out zone compared with 648 of 981 (66.1%) without CAD (P < .001). Among rule-out zone patients, 30-day cardiac death or MI occurred in 6 of 178 patients (3.4%) with known CAD and 7 of 648 (1.1%) without CAD (P < .001). The negative predictive value for 30-day cardiac death or MI was 96.6% (95% CI, 92.8-98.8) among patients with known CAD and 98.9% (95% CI, 97.8-99.6) in patients without known CAD (P = .04). Conclusions and Relevance Among patients with known CAD, the ESC 0/1-hour hs-cTnT algorithm was unable to safely exclude 30-day cardiac death or MI. This suggests that clinicians should be cautious if using the algorithm in patients with known CAD. The negative predictive value was significantly higher in patients without a history of CAD but remained less than 99%.
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Affiliation(s)
- Nicklaus P. Ashburn
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Section on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Anna C. Snavely
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - James C. O’Neill
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Brandon R. Allen
- Department of Emergency Medicine, University of Florida College of Medicine, Gainesville
| | | | - Troy Madsen
- Department of Emergency Medicine, University of Utah School of Medicine, Salt Lake City
| | - Michael R. Massoomi
- Department of Cardiology, University of Florida College of Medicine, Gainesville
| | - James K. McCord
- Department of Cardiology, Henry Ford Health System, Detroit, Michigan
| | - Bryn E. Mumma
- Department of Emergency Medicine, University of California, Davis School of Medicine, Sacramento
| | - Richard Nowak
- Department of Emergency Medicine, Henry Ford Health System, Detroit, Michigan
| | - Jason P. Stopyra
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Maite Huis in’t Veld
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore
| | - R. Gentry Wilkerson
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore
| | - Simon A. Mahler
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Implementation Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
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5
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Collinson P, Dakshi A, Khand A. Rapid diagnostic strategies using high sensitivity troponin assays: what is the evidence and how should they be implemented? Ann Clin Biochem 2023; 60:37-45. [PMID: 35491935 DOI: 10.1177/00045632221100347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
The introduction of high sensitivity measurement of cardiac troponin T (hs cTnT) and cardiac troponin I (hs cTnI) has given the laboratory the ability to measure very low levels of cardiac troponin. The limit of detection of these assays is well below the 99th percentile. These low levels can also be measured with small values of imprecision. A range of algorithms combining presentation measurement with repeat sample intervals of as little as one to 2 hours have been developed. These are able to predict with acceptable accuracy the diagnosis that would be achieved with continued repeat sampling out to six to 12 hours from presentation. In this article, we review the evidence for the diagnostic accuracy of these approaches and the practical aspects of implementation into routine clinical practice.
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Affiliation(s)
- Paul Collinson
- Departments of Clinical Blood Sciences and Cardiology, 4968St George's University Hospitals NHS Foundation Trust and St George's University of London, London, UK
| | - Ahmed Dakshi
- 4595Liverpool University Hospital NHS Foundation Trust, Liverpool, UK
| | - Aleem Khand
- 4595Liverpool University Hospital NHS Foundation Trust, Liverpool, UK
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6
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Chaulin AM. Diagnostic Role and Methods of Detection of Cardiac Troponins: An Opinion from Historical and Current Points of View. Curr Cardiol Rev 2023; 19:e100622205865. [PMID: 35702796 PMCID: PMC10201884 DOI: 10.2174/1573403x18666220610164946] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 04/21/2022] [Accepted: 04/25/2022] [Indexed: 02/08/2023] Open
Abstract
The laboratory methods for the determination of cardiac troponins (cTnI, cTnT) used nowadays are extremely diverse, which has a significant impact on our understanding of the biology and diagnostic the value of cTnI and cTnT as biomarkers. The main classification of methods for the determination of cTnI and cTnT is based on the sensitivity of the immunoassay. Low- and moderately sensitive detection methods are known to be relatively less sensitive, which leads to a relatively late confirmation of cardiomyocyte death. Due to the new highly sensitive methods used to determine cTnI and cTnT, designated as a highly or ultrasensitive immunoassays (hs-TnT and hs-TnT), we received new, revised data about the biology of cardiac troponin molecules. In particular, it became clear that they can be considered products of normal myocardium metabolism since hs-TnT and hs-TnT are detected in almost all healthy patients. It also turned out that hs-TnT and hs-TnT differ by gender (in men, troponin concentration in the blood is higher than in women), age (in elderly patients, the levels of troponins are higher than in young ones) and circadian cycles (morning concentrations of troponins are higher than in the evening). A large variety of methods for determining cTnI and cTnT, differing in their diagnostic capabilities, creates the need for tests to perform an unbiased assessment of the analytical characteristics of each method. This review focuses on the most pressing issues related to the discussion of the biological characteristics of cardiac troponin and the analytical characteristics of troponin immunoassays from a historical and contemporary point of view.
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Affiliation(s)
- Aleksey Michailovich Chaulin
- Department of Cardiology and Cardiovascular surgery, Medical faculty, Samara State Medical University, Samara, Russia
- Department of Clinical Chemistry, Samara Regional Clinical Cardiological Dispensary, Samara, Russia
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Aziz W, Morgan H, Demir OM, Sinha A, Rua T, Rajani R, Chang AL, Woo E, Mak SM, Benedetti G, Villa A, Preston R, Navin R, O'Kane K, Hunter L, Ismail T, Carr-White G, Beckley-Hoelscher N, Peacock J, Marber M, Razavi R, Perera D. Prospective RandOmised Trial of Emergency Cardiac Computerised Tomography (PROTECCT). Heart 2022; 108:1972-1978. [PMID: 36288924 PMCID: PMC9726962 DOI: 10.1136/heartjnl-2022-320990] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 07/10/2022] [Indexed: 01/18/2023] Open
Abstract
OBJECTIVE Many patients presenting with suspected acute coronary syndrome (ACS) have high-sensitivity cardiac troponin (hs-cTn) concentrations between rule-in and rule-out thresholds and hence need serial testing, which is time consuming. The Prospective RandOmised Trial of Emergency Cardiac Computerised Tomography (PROTECCT) assessed the utility of coronary CT angiography (CCTA) in patients with suspected ACS, non-ischaemic ECG and intermediate initial hs-cTn concentration. METHODS Patients were randomised to CCTA-guided management versus standard of care (SOC). The primary outcome was hospital length of stay (LOS). Secondary outcomes included cost of in-hospital stay and major adverse cardiac events (MACE) at 12 months of follow-up. Data are mean (SD); for LOS harmonic means, IQRs are shown. RESULTS 250 (aged 55 (14) years, 25% women) patients were randomised. Harmonic mean (IQR) LOS was 7.53 (6.0-9.6) hours in the CCTA arm and 8.14 (6.3-9.8) hours in the SOC arm (p=0.13). Inpatient cost was £1285 (£2216) and £1108 (£3573), respectively, p=0.68. LOS was shorter in the CCTA group in patients with <25% stenosis, compared with SOC; 6.6 (5.6-7.8) hours vs 7.5 (6.1-9.4) hours, respectively; p=0.021. More referrals for cardiology outpatient clinic review and cardiac CT-related outpatient referrals occurred in the SOC arm (p=0.01). 12-month MACE rates were similar between the two arms (7 (5.6%) in the CCTA arm and 8 (6.5%) in the SOC arm-log-rank p=0.78). CONCLUSIONS CCTA did not lead to reduced hospital LOS or cost, largely because these outcomes were influenced by the detection of ≥25% grade stenosis in a proportion of patients. TRIAL REGISTRATION NUMBER NCT03583320.
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Affiliation(s)
- Waqar Aziz
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Holly Morgan
- British Heart Foundation Centre of Excellence and NIHR Biomedical Research Centre at the School of Cardiovascular Medicine and Sciences, King's College London, London, UK
| | - Ozan M Demir
- British Heart Foundation Centre of Excellence and NIHR Biomedical Research Centre at the School of Cardiovascular Medicine and Sciences, King's College London, London, UK
| | - Aish Sinha
- British Heart Foundation Centre of Excellence and NIHR Biomedical Research Centre at the School of Cardiovascular Medicine and Sciences, King's College London, London, UK
| | - Tiago Rua
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Ronak Rajani
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Ai-Lee Chang
- Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK
| | - Eric Woo
- Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK
| | - Sze Mun Mak
- Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK
| | | | - Adriana Villa
- Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK
| | - Rebecca Preston
- Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK
| | - Roshan Navin
- Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK
| | - Kevin O'Kane
- Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK
| | - Laura Hunter
- Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK
| | - Tevfik Ismail
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | | | | | - Janet Peacock
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, New Hampshire, USA
| | - Michael Marber
- British Heart Foundation Centre of Excellence and NIHR Biomedical Research Centre at the School of Cardiovascular Medicine and Sciences, King's College London, London, UK
| | - Reza Razavi
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Divaka Perera
- British Heart Foundation Centre of Excellence and NIHR Biomedical Research Centre at the School of Cardiovascular Medicine and Sciences, King's College London, London, UK
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8
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Ohtake H, Terasawa T, Zhelev Z, Iwata M, Rogers M, Peters JL, Hyde C. Serial high-sensitivity cardiac troponin testing for the diagnosis of myocardial infarction: a scoping review. BMJ Open 2022; 12:e066429. [PMID: 36414302 PMCID: PMC9685223 DOI: 10.1136/bmjopen-2022-066429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVES We aimed to assess the diversity and practices of existing studies on several assays and algorithms for serial measurements of high-sensitivity cardiac troponin (hs-cTn) for risk stratification and the diagnosis of myocardial infarction (MI) and 30-day outcomes in patients suspected of having non-ST-segment elevation MI (NSTEMI). METHODS We searched multiple databases including MEDLINE, EMBASE, Science Citation Index, the Cochrane Database of Systematic Reviews and the CENTRAL databases for studies published between January 2006 and November 2021. Studies that assessed the diagnostic accuracy of serial hs-cTn testing in patients suspected of having NSTEMI in the emergency department (ED) were eligible. Data were analysed using the scoping review method. RESULTS We included 86 publications, mainly from research centres in Europe, North America and Australasia. Two hs-cTn assays, manufactured by Abbott (43/86) and Roche (53/86), dominated the evaluations. The studies most commonly measured the concentrations of hs-cTn at two time points, at presentation and a few hours thereafter, to assess the two-strata or three-strata algorithm for diagnosing or ruling out MI. Although data from 83 studies (97%) were prospectively collected, 0%-90% of the eligible patients were excluded from the analysis due to missing blood samples or the lack of a final diagnosis in 53 studies (62%) that reported relevant data. Only 19 studies (22%) reported on head-to-head comparisons of alternative assays. CONCLUSION Evidence on the accuracy of serial hs-cTn testing was largely derived from selected research institutions and relied on two specific assays. The proportions of the eligible patients excluded from the study raise concerns about directly applying the study findings to clinical practice in frontline EDs. PROSPERO REGISTRATION NUMBER CRD42018106379.
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Affiliation(s)
- Hirotaka Ohtake
- Department of Emergency and General Internal Medicine, Fujita Health University, Toyoake, Aichi, Japan
| | - Teruhiko Terasawa
- Department of Emergency and General Internal Medicine, Fujita Health University, Toyoake, Aichi, Japan
| | - Zhivko Zhelev
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Mitsunaga Iwata
- Department of Emergency and General Internal Medicine, Fujita Health University, Toyoake, Aichi, Japan
| | - Morwenna Rogers
- NIHR CLAHRC South West Peninsula, University of Exeter, Exeter, UK
| | - Jaime L Peters
- Peninsula Technology Assessment Group (PenTAG), University of Exeter, Exeter, UK
- Peninsula Technology Assessment Group (PenTAG), University of Exeter, Exeter, UK
| | - Chris Hyde
- Exeter Test Group, University of Exeter, Exeter, UK
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9
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Hypverventilation strain CMR imaging in patients with acute chest pain. Sci Rep 2022; 12:13584. [PMID: 35945332 PMCID: PMC9363440 DOI: 10.1038/s41598-022-17856-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 08/02/2022] [Indexed: 11/08/2022] Open
Abstract
In patients with suspected acute coronary syndrome high-sensitivity cardiac tropnonin T is used for rapid patient triage. Some acute coronary syndrome patients assigned to the observe zone based on high-sensitivity cardiac troponin T after 1 h require further diagnostic testing. Fast-strain encoded CMR imaging with breathing maneuvers may accelerate diagnostic work-up and identify patients suffering from acute coronary syndrome. Patients presenting with acute chest pain (high-sensitivity cardiac troponin T level 5-52 ng/L) were prospectively enrolled (consecutive sampling, time of recruitment: 09/18-06/19). Fast-strain-encoded imaging was performed within the 1-h timeframe (0 h/1 h algorithm) prior to 2nd high-sensitivity troponin T lab results. Images were acquired at rest as well as after 1-min of hyperventilation followed by a short breath-hold. In 108 patients (59 male; mean age: 57 ± 17y) the mean study time was 17 ± 3 min. An abnormal strain response after the breathing maneuver (persistent/increased/new onset of increased strain rates) correctly identified all 17 patients with a high-sensitivity troponin T dynamic (0 h/1 h algorithm) and explanatory significant coronary lesions, while in 86 patients without serologic or angiographic evidence for severe coronary artery disease the strain response was normal (sensitivity 100%, specificity 94.5%; 5 false positive results). The number of dysfunctional segments (strain > - 10%) proved to be a quantifiable marker for identifying patients with acute coronary syndrome. In patients with suspected acute coronary syndrome and inconclusive initial high-sensitivity troponin T, fast-strain-encoded imaging with a breathing maneuver may safely and rapidly identify patients with acute coronary syndrome, without the need for vasodilators, stress, or contrast agents.
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10
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Nomura O, Hashiba K, Kikuchi M, Kojima S, Hanada H, Mano T, Yamamoto T, Nakashima T, Tanaka A, Nakayama N, Yamaguchi J, Matsuo K, Matoba T, Tahara Y, Nonogi H. Performance of the 0-Hour/1-Hour Algorithm for Diagnosing Myocardial Infarction in Patients With Chest Pain in the Emergency Department - A Systematic Review and Meta-Analysis. Circ Rep 2022; 4:241-247. [PMID: 35774074 PMCID: PMC9168511 DOI: 10.1253/circrep.cr-22-0001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/20/2022] [Accepted: 03/28/2022] [Indexed: 11/24/2022] Open
Abstract
Background: This study assessed the diagnostic performance of the 0-hour/1-hour (0/1-h) algorithm to rule in and rule out acute myocardial infarction (MI) in patients presenting to the emergency department (ED) for suspected acute coronary syndrome without ST-segment elevation, as recommended in the 2015 European Society of Cardiology (ESC) guideline. Methods and Results: Following the Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy (PRISMA-DTA) guidelines, a systematic review was conducted using the PubMed database from inception to March 31, 2020. We included any article published in English investigating the diagnostic performance of the ESC 0/1-h algorithm for diagnosing MI in patients with chest pain visiting the ED. Of 651 studies identified as potentially available for the study, 7 studies including 16 databases were analyzed. A meta-analysis of the diagnostic accuracy of the 0/1-h algorithm using high-sensitivity cardiac troponin I (hs-cTn) with 6 observational databases showed a pooled sensitivity of 99.3% (95% confidence interval [CI] 98.5-99.7%) and a pooled specificity of 90.1% (95% CI 80.7-95.2%). A meta-analysis of the diagnostic accuracy of 10 observational databases of the ESC 0/1-h algorithm using hs-cTn revealed a pooled sensitivity of 99.3% (95% CI 96.9-99.9%) and a pooled specificity of 91.7% (95% CI 83.5-96.1%). Conclusions: Our results demonstrate that the ESC 0/1-h algorithm can effectively rule in and rule out patients with non-ST-segment elevation MI.
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Affiliation(s)
- Osamu Nomura
- Department of Emergency and Disaster Medicine, Hirosaki University Hirosaki Japan
| | - Katsutaka Hashiba
- Department of Cardiology, Saiseikai Yokohama-shi Nanbu Hospital Yokohama Japan
| | - Migaku Kikuchi
- Department of Cardiovascular Medicine, Emergency and Critical Care Center, Dokkyo Medical University Tochigi Japan
| | - Sunao Kojima
- Department of Internal Medicine, Sakurajyuji Yatsushiro Rehabilitation Hospital Yatsushiro Japan
| | - Hiroyuki Hanada
- Department of Emergency and Disaster Medicine, Hirosaki University Hirosaki Japan
| | - Toshiaki Mano
- Kansai Rosai Hospital Cardiovascular Center Amagasaki Japan
| | - Takeshi Yamamoto
- Division of Cardiovascular Intensive Care, Nippon Medical School Hospital Tokyo Japan
| | - Takahiro Nakashima
- Department of Emergency Medicine and Michigan Center for Integrative Research in Critical Care, University of Michigan Ann Arbor, MI USA
| | - Akihito Tanaka
- Department of Cardiology, Nagoya University Graduate School of Medicine Nagoya Japan
| | - Naoki Nakayama
- Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center Yokohama Japan
| | - Junichi Yamaguchi
- Department of Cardiology, Tokyo Women's Medical University Tokyo Japan
| | - Kunihiro Matsuo
- Department of Acute Care Medicine, Fukuoka University Chikushi Hospital Fukuoka Japan
| | - Tetsuya Matoba
- Department of Cardiovascular Medicine, Kyushu University Faculty of Medical Sciences Fukuoka Japan
| | - Yoshio Tahara
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center Osaka Japan
| | - Hiroshi Nonogi
- Faculty of Health Science, Osaka Aoyama University Osaka Japan
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11
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Bang C, Andersen CF, Lauridsen KG, Frederiksen CA, Schmidt M, Jensen T, Hornung N, Løfgren B. Rapid Rule-Out of Myocardial Infarction After 30 Minutes as an Alternative to 1 Hour: The RACING-MI Cohort Study. Ann Emerg Med 2021; 79:102-112. [PMID: 34969529 DOI: 10.1016/j.annemergmed.2021.08.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 08/10/2021] [Accepted: 08/30/2021] [Indexed: 12/15/2022]
Abstract
STUDY OBJECTIVE The aim of this study was to investigate whether myocardial infarction can be safely ruled in or out after 30 minutes as an alternative to 1 hour. METHODS This was a prospective, single-center clinical study enrolling patients admitted to the emergency department. Patients with chest pain suggestive of myocardial infarction were eligible for inclusion. There was no walk-in to the emergency department, and patients with highly elevated out-of-hospital troponin were transferred directly to an invasive heart center. High-sensitivity troponin I was measured at admission (0 hour), 30 minutes, 1 hour, and 3 hours. Diagnostic performance was assessed using the sensitivity and negative predictive value (primary endpoints) as measures of ability to rule out myocardial infarction. Specificity and positive predictive value of myocardial infarction were used as measures for the ability to rule in myocardial infarction (secondary endpoints). RESULTS In total, 1,003 patients qualified for analysis. Median age was 64 (interquartile range 52 to 74) years, and 42% were women. Myocardial infarction was confirmed in 9% of patients. In the validation cohort (n=503), the 0-h/30-min algorithm assigned 242 (48%) patients to rule out, 54 (11%) to rule in, and 207 (41%) to the observational zone. This resulted in a sensitivity of 100% (92.0% to 100%), negative predictive value of 100% (95% confidence interval 98.5% to 100%), specificity of 96.7% (94.7% to 98.2%), and positive predictive value of 72.2% (58.4% to 83.5%). In comparison, the 0-h/1-h algorithm performed with a sensitivity of 100% (92.0% to 100%), negative predictive value of 100% (98.5% to 100%), specificity of 97.2% (95.2% to 98.5%), and positive predictive value of 75.5% (61.7% to 86.2%). CONCLUSION The accelerated 0-h/30-min algorithm allowed for safe rule-out of myocardial infarction 30 minutes after admission. The rule-in ability of the 0-h/30-min algorithm was comparable to that of the 0-h/1h algorithm.
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Affiliation(s)
- Camilla Bang
- Research Center for Emergency Medicine, Aarhus University Hospital, Denmark; Clinical Research Unit, Randers Regional Hospital, Denmark; Department of Internal Medicine, Randers Regional Hospital, Denmark
| | - Camilla F Andersen
- Research Center for Emergency Medicine, Aarhus University Hospital, Denmark; Clinical Research Unit, Randers Regional Hospital, Denmark; Department of Internal Medicine, Randers Regional Hospital, Denmark; Department of Cardiology, Herlev and Gentofte University Hospital, Denmark
| | - Kasper G Lauridsen
- Research Center for Emergency Medicine, Aarhus University Hospital, Denmark; Clinical Research Unit, Randers Regional Hospital, Denmark; Department of Internal Medicine, Randers Regional Hospital, Denmark
| | | | - Morten Schmidt
- Department of Cardiology, Aarhus University Hospital, Denmark; Department of Clinical Epidemiology, Aarhus University Hospital, Denmark
| | - Tage Jensen
- Department of Internal Medicine, Randers Regional Hospital, Denmark
| | - Nete Hornung
- Department of Clinical Biochemistry, Regional Hospital West Jutland, Denmark
| | - Bo Løfgren
- Research Center for Emergency Medicine, Aarhus University Hospital, Denmark; Department of Clinical Medicine, Aarhus University Hospital, Denmark; Clinical Research Unit, Randers Regional Hospital, Denmark; Department of Internal Medicine, Randers Regional Hospital, Denmark.
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12
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Chaulin AM. Cardiac troponins: current information on the main analytical characteristics of determination methods and new diagnostic possibilities. Medwave 2021; 21:e8498. [PMID: 34890387 DOI: 10.5867/medwave.2021.11.002132] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 11/15/2021] [Indexed: 11/27/2022] Open
Abstract
The methods used to diagnose cardiovascular diseases are constantly being improved, leading to an expanded perception of the diagnostic value of biomarkers and their new diagnostic possibilities. One striking example are the main biomarkers used to diagnose acute myocardial infarction: cardiac troponins. The first methods for determining cardiac troponins (proposed 30 years ago) were characterized by extremely low sensitivity. Therefore, they could only detect large acute myocardial infarctions. These methods were also characterized by low specificity, expressed as a high probability of cross-reactivity with skeletal troponin isoforms, which generated false-positive results in the presence of skeletal myopathies and skeletal muscle lesions. With the introduction of high-sensitivity cardiac troponins into clinical practice, the possibility of early diagnosis and exclusion of acute myocardial infarction by assessing troponin concentrations in the first few hours (from admission to the first hour, second hour, or third hour) has become more specific. Our knowledge about cardiac troponins has changed over the years and promising new medical uses have emerged. This paper reviews current data on the diagnostic value of cardiac troponins, the main methods used for their determination, and their analytical characteristics from historical and modern insights.
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Affiliation(s)
- Aleksey M Chaulin
- Department of Cardiology and Cardiovascular Surgery, and Department of Histology and Embryology, Samara State Medical University, Samara, Russia. . Address: 89 Chapaevskaya Street, Samara, Russia. ORCID: 0000-0002-2712-0227
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13
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Lee KK, Bularga A, O'Brien R, Ferry AV, Doudesis D, Fujisawa T, Kelly S, Stewart S, Wereski R, Cranley D, van Beek EJR, Lowe DJ, Newby DE, Williams MC, Gray AJ, Mills NL. Troponin-Guided Coronary Computed Tomographic Angiography After Exclusion of Myocardial Infarction. J Am Coll Cardiol 2021; 78:1407-1417. [PMID: 34593122 PMCID: PMC8482793 DOI: 10.1016/j.jacc.2021.07.055] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 07/28/2021] [Accepted: 07/29/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Patients with suspected acute coronary syndrome in whom myocardial infarction has been excluded are at risk of future adverse cardiac events. OBJECTIVES This study evaluated the usefulness of high-sensitivity cardiac troponin I (hs-cTnI) to select patients for further investigation after myocardial infarction has been excluded. METHODS This is a prospective cohort study of patients presenting to the emergency department with suspected acute coronary syndrome and hs-cTnI concentrations below the sex-specific 99th percentile. Patients were recruited in a 2:1 fashion, stratified by peak hs-cTnI concentration above and below the risk stratification threshold of 5 ng/L. All patients underwent coronary computed tomography angiography (CCTA) after hospital discharge. RESULTS Overall, 250 patients were recruited (61.4 ± 12.2 years 31% women) in whom 62.4% (156 of 250 patients) had coronary artery disease (CAD). Patients with intermediate hs-cTnI concentrations (between 5 ng/L and the sex-specific 99th percentile) were more likely to have CAD than those with hs-cTnI concentrations <5 ng/L (71.9% [120 of 167 patients] vs 43.4% [36 of 83 patients]; odds ratio: 3.33; 95% CI: 1.92-5.78). Conversely, there was no association between anginal symptoms and CAD (63.2% [67 of 106 patients] vs 61.8% [89 of 144 patients]; odds ratio: 0.92; 95% CI: 0.48-1.76). Most patients with CAD did not have a previous diagnosis (53.2%; 83 of 156 patients) and were not on antiplatelet and statin therapies (63.5%; 99 of 156 patients) before they underwent CCTA. CONCLUSIONS In patients who had myocardial infarction excluded, CAD was 3× more likely in those with intermediate hs-cTnI concentrations compared with low hs-cTnI concentrations. In such patients, CCTA could help to identify those with occult CAD and to target preventative treatments, thereby improving clinical outcomes.
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Affiliation(s)
- Kuan Ken Lee
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Anda Bularga
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Rachel O'Brien
- Department of Emergency Medicine, Emergency Medicine Research Group, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom
| | - Amy V Ferry
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Dimitrios Doudesis
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Takeshi Fujisawa
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Shauna Kelly
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Stacey Stewart
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Ryan Wereski
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Denise Cranley
- Edinburgh Clinical Trials Unit, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Edwin J R van Beek
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging Facility QMRI (The Queen's Medical Research Institute), University of Edinburgh, Edinburgh, United Kingdom
| | - David J Lowe
- University of Glasgow, School of Medicine, Glasgow, United Kingdom
| | - David E Newby
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Michelle C Williams
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging Facility QMRI (The Queen's Medical Research Institute), University of Edinburgh, Edinburgh, United Kingdom
| | - Alasdair J Gray
- Department of Emergency Medicine, Emergency Medicine Research Group, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom; Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Nicholas L Mills
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.
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14
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Atabaki AH, Montazeri A, Rafii-Tabar H, Sasanpour P. Determination of the optimal location of samples on quartz tuning fork-based biosensors: a computational study. Biomed Phys Eng Express 2021; 7:065024. [PMID: 34521074 DOI: 10.1088/2057-1976/ac26a5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
In view of efficiency, simple operation, and affordable cost and disposability, quartz tuning fork systems form good candidates for mechanical-based biosensors in point of care applications. Based on the geometrical structure, the frequency response of the tuning fork- based sensors is dependent on the location of absorbed samples. In order to have the maximum efficiency and sensitivity, the optimized condition of sample loading on the fork structures should be considered. In this regard, here, we have determined the optimized sample location to be on the prongs of the quartz tuning fork by calculating the frequency response of the quartz tuning fork using the finite element method. From an application point of view, we have obtained an agreement between the calculational method and the experimental excitation technique of the structure. The results from our study show that by using an appropriate location for the sample, the quartz tuning fork could be exploited with high sensitivity.
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Affiliation(s)
- Amir Hossein Atabaki
- Medical Physics and Biomedical Engineering, Shahid Beheshti University of Medical Sciences School of Medicine, Velenjak, Tehran, Tehran, 1985717443, Iran (the Islamic Republic of)
| | - Abbas Montazeri
- Materials Science and Engineering, KN Toosi University of Technology, Vanak Suare, Tehran, Tehran, 19697, Iran (the Islamic Republic of)
| | - Hashem Rafii-Tabar
- Medical Physics and Biomedical Engineering, Shahid Beheshti University of Medical Sciences School of Medicine, Velenjak, Tehran, Tehran, 1985717443, Iran (the Islamic Republic of)
| | - Pezhman Sasanpour
- Medical Physics and Biomedical Engineering, Shahid Beheshti University of Medical Sciences School of Medicine, Velenjak, Tehran, Tehran, 1985717443, Iran (the Islamic Republic of)
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15
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Kaier TE, Alaour B, Marber M. Cardiac troponin and defining myocardial infarction. Cardiovasc Res 2021; 117:2203-2215. [PMID: 33458742 PMCID: PMC8404461 DOI: 10.1093/cvr/cvaa331] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 09/12/2020] [Indexed: 12/19/2022] Open
Abstract
The 4th Universal Definition of Myocardial Infarction has stimulated considerable debate since its publication in 2018. The intention was to define the types of myocardial injury through the lens of their underpinning pathophysiology. In this review, we discuss how the 4th Universal Definition of Myocardial Infarction defines infarction and injury and the necessary pragmatic adjustments that appear in clinical guidelines to maximize triage of real-world patients.
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Affiliation(s)
- Thomas E Kaier
- King’s College London BHF Centre, The Rayne Institute, 4th Floor, Lambeth Wing, St Thomas’ Hospital, Westminster Bridge Road, London SE1 7EH, UK
| | - Bashir Alaour
- King’s College London BHF Centre, The Rayne Institute, 4th Floor, Lambeth Wing, St Thomas’ Hospital, Westminster Bridge Road, London SE1 7EH, UK
| | - Michael Marber
- King’s College London BHF Centre, The Rayne Institute, 4th Floor, Lambeth Wing, St Thomas’ Hospital, Westminster Bridge Road, London SE1 7EH, UK
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16
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(Cardiac troponins: current data on the diagnostic value and analytical characteristics of new determination methods). COR ET VASA 2021. [DOI: 10.33678/cor.2021.041] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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17
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Andersen CF, Bang C, Lauridsen KG, Frederiksen CA, Schmidt M, Jensen T, Hornung N, Løfgren B. External validation of a high-sensitive troponin I algorithm for rapid evaluation of acute myocardial infarction in a Danish cohort. EUROPEAN HEART JOURNAL-ACUTE CARDIOVASCULAR CARE 2021; 10:1056-1064. [PMID: 34423355 DOI: 10.1093/ehjacc/zuab062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 05/19/2021] [Accepted: 07/14/2021] [Indexed: 11/14/2022]
Abstract
AIMS An accelerated diagnostic algorithm for ruling-in or ruling-out myocardial infarction (MI) after 1 hour (1 h) has recently been derived and internally validated for the Siemens ADVIA Centaur TNIH assay. We aimed to validate the diagnostic performance of the TNIH 0 h/1 h algorithm ad modum Boeddinghaus in a Danish cohort. METHODS AND RESULTS Patients with chest pain suggestive of MI were prospectively enrolled. High-sensitive troponin I (TNIH) was measured at admission (0 h) and after 30 minutes (30 m), 1 h, and 3 hours (3 h). We externally validated the TNIH 0 h/1 h algorithm ad modum Boeddinghaus in Danish patients. Moreover, we applied the algorithm using the second TNIH measurement at 30 m instead of 1 h. We enrolled 1003 patients: median (Q1-Q3) age 64 (52-74) years, 42% female, and 23% with previous MI. Myocardial infarction was the final diagnosis in 9% of patients. Median (Q1-Q3) times from admission to 30 m and 1 h blood draw were 35 min (30-37 min) and 67 min (62-75 min), respectively. Using the 0 h and 1 h results, 468 (47%) patients were assigned to rule-out, 104 (10%) to rule-in, and 431 (43%) to the observational zone. This resulted in a negative predictive value of 100% (95% confidence interval: 99.2-100%), sensitivity of 100% (95.9-100%), positive predictive value of 79.8 (70.8-87.0%), and specificity of 97.7% (96.5-98.6%). The diagnostic performance after 30 m was similar. CONCLUSIONS The TNIH 0 h/1 h algorithm ad modum Boeddinghaus performed excellently for rule-out of MI in a Danish cohort. The Boeddinghaus algorithm also performed excellently after only 30 m. TRIAL REGISTRATION NUMBER NCT03634384. TRIAL REGISTRY NAME AND URL Rapid Use of High-Sensitive Cardiac Troponin I for Ruling-in and Ruling-out Acute Myocardial Infarction (RACING-MI), https://clinicaltrials.gov/ct2/show/NCT03634384.
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Affiliation(s)
- Camilla Fuchs Andersen
- Research Center for Emergency Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, J103, Aarhus N 8200, Denmark.,Clinical Research Unit, Randers Regional Hospital, Skovlyvej 15, Randers 8930, Denmark.,Department of Internal Medicine, Randers Regional Hospital, Skovlyvej 15, 8930 Randers, Denmark.,Department of Cardiology, Herlev and Gentofte University Hospital, Borgmester Ib Juuls Vej, 1, Herlev, Hellerup 2730, Denmark
| | - Camilla Bang
- Research Center for Emergency Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, J103, Aarhus N 8200, Denmark.,Clinical Research Unit, Randers Regional Hospital, Skovlyvej 15, Randers 8930, Denmark.,Department of Internal Medicine, Randers Regional Hospital, Skovlyvej 15, 8930 Randers, Denmark
| | - Kasper Glerup Lauridsen
- Research Center for Emergency Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, J103, Aarhus N 8200, Denmark.,Clinical Research Unit, Randers Regional Hospital, Skovlyvej 15, Randers 8930, Denmark.,Department of Internal Medicine, Randers Regional Hospital, Skovlyvej 15, 8930 Randers, Denmark
| | | | - Morten Schmidt
- Department of Cardiology, Regional Hospital West Jutland, Gl Landevej 61, Herning 7400, Denmark.,Department of Clinical Epidemiology, Aarhus University Hospital, Olof Palmes Allé 43-45, Aarhus N 8200, Denmark
| | - Tage Jensen
- Department of Internal Medicine, Randers Regional Hospital, Skovlyvej 15, 8930 Randers, Denmark
| | - Nete Hornung
- Department of Clinical Biochemistry, Regional Hospital West Jutland, Gl Landevej 61, Herning 7400, Denmark
| | - Bo Løfgren
- Research Center for Emergency Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, J103, Aarhus N 8200, Denmark.,Department of Internal Medicine, Randers Regional Hospital, Skovlyvej 15, 8930 Randers, Denmark.,Department of Clinical Medicine, Aarhus University Hospital, Incuba Skejby, building 2, Palle Juul-Jensens Boulevard 82, Aarhus N 8200, Denmark
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18
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Wereski R, Kimenai DM, Taggart C, Doudesis D, Lee KK, Lowry MT, Bularga A, Lowe DJ, Fujisawa T, Apple FS, Collinson PO, Anand A, Chapman AR, Mills NL. Cardiac Troponin Thresholds and Kinetics to Differentiate Myocardial Injury and Myocardial Infarction. Circulation 2021; 144:528-538. [PMID: 34167318 PMCID: PMC8360674 DOI: 10.1161/circulationaha.121.054302] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 07/07/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Although the 99th percentile is the recommended diagnostic threshold for myocardial infarction, some guidelines also advocate the use of higher troponin thresholds to rule in myocardial infarction at presentation. It is unclear whether the magnitude or change in troponin concentration can differentiate causes of myocardial injury and infarction in practice. METHODS In a secondary analysis of a multicenter randomized controlled trial, we identified 46 092 consecutive patients presenting with suspected acute coronary syndrome without ST-segment-elevation myocardial infarction. High-sensitivity cardiac troponin I concentrations at presentation and on serial testing were compared between patients with myocardial injury and infarction. The positive predictive value and specificity were determined at the sex-specific 99th percentile upper reference limit and rule-in thresholds of 64 ng/L and 5-fold of the upper reference limit for a diagnosis of type 1 myocardial infarction. RESULTS Troponin was above the 99th percentile in 8188 patients (18%). The diagnosis was type 1 or type 2 myocardial infarction in 50% and 14% and acute or chronic myocardial injury in 20% and 16%, respectively. Troponin concentrations were similar at presentation in type 1 (median [25th-75th percentile] 91 [30-493] ng/L) and type 2 (50 [22-147] ng/L) myocardial infarction and in acute (50 [26-134] ng/L) and chronic (51 [31-130] ng/L) myocardial injury. The 99th percentile and rule-in thresholds of 64 ng/L and 5-fold upper reference limit gave a positive predictive value of 57% (95% CI, 56%-58%), 59% (58%-61%), and 62% (60%-64%) and a specificity of 96% (96%-96%), 96% (96%-96%), and 98% (97%-98%), respectively. The absolute, relative, and rate of change in troponin concentration were highest in patients with type 1 myocardial infarction (P<0.001 for all). Discrimination improved when troponin concentration and change in troponin were combined compared with troponin concentration at presentation alone (area under the curve, 0.661 [0.642-0.680] versus 0.613 [0.594-0.633]). CONCLUSIONS Although we observed important differences in the kinetics, cardiac troponin concentrations at presentation are insufficient to distinguish type 1 myocardial infarction from other causes of myocardial injury or infarction in practice and should not guide management decisions in isolation. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01852123.
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Affiliation(s)
- Ryan Wereski
- British Heart Foundation Centre for Cardiovascular Science (R.W., C.T., D.D., K.K.L., M.T.H.L., A.B., T.F., A.A., A.R.C., N.L.M.), University of Edinburgh, UK
| | | | - Caelan Taggart
- British Heart Foundation Centre for Cardiovascular Science (R.W., C.T., D.D., K.K.L., M.T.H.L., A.B., T.F., A.A., A.R.C., N.L.M.), University of Edinburgh, UK
| | - Dimitrios Doudesis
- British Heart Foundation Centre for Cardiovascular Science (R.W., C.T., D.D., K.K.L., M.T.H.L., A.B., T.F., A.A., A.R.C., N.L.M.), University of Edinburgh, UK
- Usher Institute (D.M.K., D.D., N.L.M.), University of Edinburgh, UK
| | - Kuan Ken Lee
- British Heart Foundation Centre for Cardiovascular Science (R.W., C.T., D.D., K.K.L., M.T.H.L., A.B., T.F., A.A., A.R.C., N.L.M.), University of Edinburgh, UK
| | - Matthew T.H. Lowry
- British Heart Foundation Centre for Cardiovascular Science (R.W., C.T., D.D., K.K.L., M.T.H.L., A.B., T.F., A.A., A.R.C., N.L.M.), University of Edinburgh, UK
| | - Anda Bularga
- British Heart Foundation Centre for Cardiovascular Science (R.W., C.T., D.D., K.K.L., M.T.H.L., A.B., T.F., A.A., A.R.C., N.L.M.), University of Edinburgh, UK
| | - David J. Lowe
- University of Glasgow, School of Medicine, UK (D.J.L.)
| | - Takeshi Fujisawa
- British Heart Foundation Centre for Cardiovascular Science (R.W., C.T., D.D., K.K.L., M.T.H.L., A.B., T.F., A.A., A.R.C., N.L.M.), University of Edinburgh, UK
| | - Fred S. Apple
- Department of Laboratory Medicine and Pathology, Hennepin Healthcare/Hennepin County Medical Center and University of Minnesota, Minneapolis (F.S.A.)
| | - Paul O. Collinson
- Department of Clinical Blood Sciences and Cardiology, St. George’s University of London, UK (P.O.C.)
| | - Atul Anand
- British Heart Foundation Centre for Cardiovascular Science (R.W., C.T., D.D., K.K.L., M.T.H.L., A.B., T.F., A.A., A.R.C., N.L.M.), University of Edinburgh, UK
| | - Andrew R. Chapman
- British Heart Foundation Centre for Cardiovascular Science (R.W., C.T., D.D., K.K.L., M.T.H.L., A.B., T.F., A.A., A.R.C., N.L.M.), University of Edinburgh, UK
| | - Nicholas L. Mills
- British Heart Foundation Centre for Cardiovascular Science (R.W., C.T., D.D., K.K.L., M.T.H.L., A.B., T.F., A.A., A.R.C., N.L.M.), University of Edinburgh, UK
- Usher Institute (D.M.K., D.D., N.L.M.), University of Edinburgh, UK
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19
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Prospective comparative evaluation of the European Society of Cardiology (ESC) 1-hour and a 2-hour rapid diagnostic algorithm for myocardial infarction using high-sensitivity troponin-T. CAN J EMERG MED 2021; 22:712-720. [PMID: 32624061 DOI: 10.1017/cem.2020.349] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Both 1- and 2-hour rapid diagnostic algorithms using high-sensitivity troponin (hs-cTn) have been validated to diagnose acute myocardial infarction (MI), leaving physicians uncertain which algorithm is preferable. The objective of this study was to prospectively evaluate the diagnostic performance of 1- and 2-hour algorithms in clinical practice in a Canadian emergency department (ED). METHODS ED patients with chest pain had high-sensitivity cardiac troponin-T (hs-cTnT) collected on presentation and 1- and 2-hours later at a single academic centre over a 2-year period. The primary outcome was index MI, and the secondary outcome was 30-day major adverse cardiac events (MACE). All outcomes were adjudicated. RESULTS We enrolled 608 patients undergoing serial hs-cTnT sampling. Of these, 350 had a valid 1-hour and 550 had a 2-hour hs-cTnT sample. Index MI and 30-day MACE prevalence was ~12% and 14%. Sensitivity of the 1- and 2-hour algorithms was similar for index MI 97.3% (95% CI: 85.8-99.9%) and 100% (95% CI: 91.6-100%) and 30-day MACE: 80.9% (95% CI: 66.7-90.9%) and 83.3% (95% CI: 73.2-90.8%), respectively. Both algorithms accurately identified about 10% of patients as high risk. CONCLUSIONS Both algorithms were able to classify almost two-thirds of patients as low risk, effectively ruling out MI and conferring a low risk of 30-day MACE for this group, while reliably identifying high-risk patients. While both algorithms had equivalent diagnostic performance, the 2-hour algorithm offers several practical advantages, which may make it preferable to implement. Broad implementation of similar algorithms across Canada can expedite patient disposition and lead to resource savings.
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20
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Chaulin A. Cardiac Troponins: Contemporary Biological Data and New Methods of Determination. Vasc Health Risk Manag 2021; 17:299-316. [PMID: 34113117 PMCID: PMC8184290 DOI: 10.2147/vhrm.s300002] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 04/21/2021] [Indexed: 12/19/2022] Open
Abstract
Laboratory diagnosis plays one of the key roles in the diagnosis of many diseases, including cardiovascular diseases (CVD). The methods underlying the in vitro study of many CVD biomarkers, including cardiac troponins (cTnI and cTnT), are imperfect and are continually being improved to enhance their analytical performance, with sensitivity and specificity being the most important. Recently developed improved cTnI and cTnT detection methods, referred to as highly sensitive methods (hs-cTnI, hs-cTnT), have changed many of our ideas about the biology of cardiac troponins and opened up a number of additional diagnostic capabilities for practical healthcare. This article systematizes some relevant data on the biology of cardiac troponins as well as on methods for determining cTnI and cTnT with an analysis of the diagnostic value of their analytical characteristics (limit of blank, limit of detection, 99th percentile, coefficient of variation, and others). Data on extracardiac expression of cTnI and cTnT, mechanisms of formation and potential clinical significance of gender, age, and circadian characteristics of hs-cTnI and hs-cTnT content in serum are discussed. Considerable attention is paid to the discussion of new diagnostic capabilities of hs-cTnI, hs-cTnT, including consideration of promising possibilities for their study in biological fluids that can be obtained by non-invasive methods. Also, some possibilities of using hs-cTnI and hs-cTnT as prognostic laboratory biomarkers in healthy people (for example, to assess the risk of developing CVD) and in patients suffering from a number of pathological conditions that cause damage to cardiomyocytes are examined, and the potential mechanisms underlying the increase in hs-cTnI and hs-cTnT are discussed.
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Affiliation(s)
- Aleksey Chaulin
- Department of Cardiology and Cardiovascular Surgery, Samara State Medical University, Samara, 443099, Russia.,Department of Histology and Embryology, Samara State Medical University, Samara, 443099, Russia
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21
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Rubini Giménez M, Wildi K, Wussler D, Koechlin L, Boeddinghaus J, Nestelberger T, Badertscher P, Sedlmayer R, Puelacher C, Zimmermann T, du Fay de Lavallaz J, Lopez-Ayala P, Leu K, Rentsch K, Miró Ò, López B, Martín-Sánchez FJ, Bustamante J, Kawecki D, Parenica J, Lohrmann J, Kloos W, Buser A, Keller DI, Reichlin T, Twerenbold R, Mueller C. Cinética temprana de troponina en pacientes con sospecha de infarto agudo de miocardio. Rev Esp Cardiol (Engl Ed) 2021. [DOI: 10.1016/j.recesp.2020.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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22
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Burgos LM, Trivi M, Costabel JP. Performance of the European Society of Cardiology 0/1-hour algorithm in the diagnosis of myocardial infarction with high-sensitivity cardiac troponin: Systematic review and meta-analysis. EUROPEAN HEART JOURNAL. ACUTE CARDIOVASCULAR CARE 2021; 10:279–286. [PMID: 32597681 DOI: 10.1177/2048872620935399] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 05/27/2020] [Indexed: 11/16/2022]
Abstract
INTRODUCTION A rapid rule-out or rule-in protocol based on the 0-hour/1-hour algorithm using high-sensitivity cardiac troponin (hs-cTn) is recommended by the European Society of Cardiology (ESC); recently multiple studies have validated it in their settings. We aimed to assess the diagnostic accuracy of the 2015 ESC guidelines for management of acute coronary syndrome in patients without ST-segment elevation 0-hour/1-hour algorithm using hs-cTn for the early rule-out and rule-in of acute myocardial infarction (AMI) on presentation. METHODS Systematic searches were conducted using PubMed, the Cochrane Library and the International Clinical Trials Registry Platform to identify prospective studies from 2015 to October 2019 involving adults presenting to the emergency department with possible acute coronary syndrome in which hs-cTn measurements were obtained according to the ESC algorithm and AMI outcomes were adjudicated during the initial hospitalization. RESULTS Eleven studies, involving 19,213 patients, were identified. Pooled prevalence of AMI during the index hospitalization was 11.3% (95% confidence interval (CI) 3.9-18.8%). Summary sensitivity and specificity in diagnosing AMI were 99% (95% CI 98-99%; I2 63%) and 91% (95% CI 91-92%; I2 96%) respectively. The summary positive likelihood ratio was 11.6 (95% CI 8.5-15.8; I2 97%) and the pooled likelihood ratio negative 0.02 (0.01-0.03; I2 52%). Cumulative all-cause mortality at 30 days in the rule-out group was 0.11%, and 2.8% in the rule-in group, and 30 days AMI in the rule-out group was 0.08%. CONCLUSION The ESC 0-hour/1-hour algorithm using high-sensitivity cardiac troponin has high diagnostic accuracy; it allows safe rule-out as well as accurate rule-in of AMI, with low cumulative 30-day mortality and AMI in patients assigned the rule-out zone.
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Affiliation(s)
- Lucrecia M Burgos
- Heart failure, Pulmonary Hypertension and Transplant Department, Instituto Cardiovascular de Buenos Aires (ICBA), Argentina
| | - Marcelo Trivi
- Clinical Cardiology and Critical Care Cardiology Department, Instituto Cardiovascular de Buenos Aires (ICBA), Argentina
| | - Juan P Costabel
- Clinical Cardiology and Critical Care Cardiology Department, Instituto Cardiovascular de Buenos Aires (ICBA), Argentina
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Westwood M, Ramaekers B, Grimm S, Worthy G, Fayter D, Armstrong N, Buksnys T, Ross J, Joore M, Kleijnen J. High-sensitivity troponin assays for early rule-out of acute myocardial infarction in people with acute chest pain: a systematic review and economic evaluation. Health Technol Assess 2021; 25:1-276. [PMID: 34061019 PMCID: PMC8200931 DOI: 10.3310/hta25330] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Early diagnosis of acute myocardial infarction is important, but only 20% of emergency admissions for chest pain will actually have an acute myocardial infarction. High-sensitivity cardiac troponin assays may allow rapid rule out of myocardial infarction and avoid unnecessary hospital admissions. OBJECTIVES To assess the clinical effectiveness and cost-effectiveness of high-sensitivity cardiac troponin assays for the management of adults presenting with acute chest pain, in particular for the early rule-out of acute myocardial infarction. METHODS Sixteen databases were searched up to September 2019. Review methods followed published guidelines. Studies were assessed for quality using appropriate risk-of-bias tools. The bivariate model was used to estimate summary sensitivity and specificity for meta-analyses involving four or more studies; otherwise, random-effects logistic regression was used. The health economic analysis considered the long-term costs and quality-adjusted life-years associated with different troponin testing methods. The de novo model consisted of a decision tree and a state-transition cohort model. A lifetime time horizon (of 60 years) was used. RESULTS Thirty-seven studies (123 publications) were included in the review. The high-sensitivity cardiac troponin test strategies evaluated are defined by the combination of four factors (i.e. assay, number and timing of tests, and threshold concentration), resulting in a large number of possible combinations. Clinical opinion indicated a minimum clinically acceptable sensitivity of 97%. When considering single test strategies, only those using a threshold at or near to the limit of detection for the assay, in a sample taken at presentation, met the minimum clinically acceptable sensitivity criterion. The majority of the multiple test strategies that met this criterion comprised an initial rule-out step, based on high-sensitivity cardiac troponin levels in a sample taken on presentation and a minimum symptom duration, and a second stage for patients not meeting the initial rule-out criteria, based on presentation levels of high-sensitivity cardiac troponin and absolute change after 1, 2 or 3 hours. Two large cluster randomised controlled trials found that implementation of an early rule-out pathway for myocardial infarction reduced length of stay and rate of hospital admission without increasing cardiac events. In the base-case analysis, standard troponin testing was both the most effective and the most costly. Other testing strategies with a sensitivity of 100% (subject to uncertainty) were almost equally effective, resulting in the same life-year and quality-adjusted life-year gain at up to four decimal places. Comparisons based on the next best alternative showed that for willingness-to-pay values below £8455 per quality-adjusted life-year, the Access High Sensitivity Troponin I (Beckman Coulter, Brea, CA, USA) [(symptoms > 3 hours AND < 4 ng/l at 0 hours) OR (< 5 ng/l AND Δ < 5 ng/l at 0 to 2 hours)] would be cost-effective. For thresholds between £8455 and £20,190 per quality-adjusted life-year, the Elecsys® Troponin-T high sensitive (Roche, Basel, Switzerland) (< 12 ng/l at 0 hours AND Δ < 3 ng/l at 0 to 1 hours) would be cost-effective. For a threshold > £20,190 per quality-adjusted life-year, the Dimension Vista® High-Sensitivity Troponin I (Siemens Healthcare, Erlangen, Germany) (< 5 ng/l at 0 hours AND Δ < 2 ng/l at 0 to 1 hours) would be cost-effective. CONCLUSIONS High-sensitivity cardiac troponin testing may be cost-effective compared with standard troponin testing. STUDY REGISTRATION This study is registered as PROSPERO CRD42019154716. FUNDING This project was funded by the National Institute for Health Research (NIHR) Evidence Synthesis programme and will be published in full in Health Technology Assessment; Vol. 25, No. 33. See the NIHR Journals Library website for further project information.
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Affiliation(s)
| | - Bram Ramaekers
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University, Maastricht, the Netherlands
| | - Sabine Grimm
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University, Maastricht, the Netherlands
| | | | | | | | | | | | - Manuela Joore
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University, Maastricht, the Netherlands
| | - Jos Kleijnen
- Kleijnen Systematic Reviews Ltd, York, UK
- School for Public Health and Primary Care, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
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Karády J, Mayrhofer T, Ferencik M, Nagurney JT, Udelson JE, Kammerlander AA, Fleg JL, Peacock WF, Januzzi JL, Koenig W, Hoffmann U. Discordance of High-Sensitivity Troponin Assays in Patients With Suspected Acute Coronary Syndromes. J Am Coll Cardiol 2021; 77:1487-1499. [PMID: 33766254 PMCID: PMC8040768 DOI: 10.1016/j.jacc.2021.01.046] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 01/20/2021] [Indexed: 01/17/2023]
Abstract
BACKGROUND High-sensitivity cardiac troponin (hs-cTn) assays have different analytic characteristics. OBJECTIVES The goal of this study was to quantify differences between assays for common analytical benchmarks and to determine whether they may result in differences in the management of patients with suspected acute coronary syndrome (ACS). METHODS The authors included patients with suspected ACS enrolled in the ROMICAT (Rule Out Myocardial Infarction/Ischemia Using Computer Assisted Tomography) I and II trials, with blood samples taken at emergency department presentation (ROMICAT-I and -II) or at 2 and 4 h thereafter (ROMICAT-II). hs-cTn concentrations were measured using 3 assays (Roche Diagnostics, Elecsys 2010 platform; Abbott Diagnostics, ARCHITECT i2000SR; Siemens Diagnostics, HsVista). Per blood sample, we determined concordance across analytic benchmarks (99th percentile). Per-patient, the authors determined concordance of management recommendations (rule-out/observe/rule-in) per the 0/2-h algorithm, and their association with diagnostic test findings (coronary artery stenosis >50% on coronary computed tomography angiography or inducible ischemia on perfusion imaging) and ACS. RESULTS Among 1,027 samples from 624 patients (52.8 ± 10.0 years; 39.4% women), samples were classified as 99th percentile (7.2% vs. 6.0% vs. 6.2%) by Roche, Abbott, and Siemens, respectively. A total of 37.4% (n = 384 of 1,027) of blood samples were classified into the same analytical benchmark category, with low concordance across benchmarks (99th percentile 43.6%). Serial samples were available in 242 patients (40.1% women; mean age: 52.8 ± 8.0 years). The concordance of management recommendations across assays was 74.8% (n = 181 of 242) considering serial hs-cTn measurements. Of patients who were recommended to discharge, 19.6% to 21.1% had positive diagnostic test findings and 2.8% to 4.3% had ACS at presentation. CONCLUSIONS Caregivers should be aware that there are significant differences between hs-cTn assays in stratifying individual samples and patients with intermediate likelihood of ACS according to analytical benchmarks that may result in different management recommendations. (Rule Out Myocardial Infarction by Computer Assisted Tomography [ROMICAT]; NCT00990262) (Multicenter Study to Rule Out Myocardial Infarction by Cardiac Computed Tomography [ROMICAT-II]; NCT01084239).
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Affiliation(s)
- Júlia Karády
- Cardiovascular Imaging Research Center, Massachusetts General Hospital-Harvard Medical School, Boston, Massachusetts, USA; MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
| | - Thomas Mayrhofer
- Cardiovascular Imaging Research Center, Massachusetts General Hospital-Harvard Medical School, Boston, Massachusetts, USA; School of Business Studies, Stralsund University of Applied Sciences, Stralsund, Germany
| | - Maros Ferencik
- Cardiovascular Imaging Research Center, Massachusetts General Hospital-Harvard Medical School, Boston, Massachusetts, USA; Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon, USA
| | - John T Nagurney
- Department of Emergency Medicine, Massachusetts General Hospital & Harvard Medical School, Boston, Massachusetts, USA
| | - James E Udelson
- Department of Medicine, Tufts Medical Center, Boston, Massachusetts, USA
| | - Andreas A Kammerlander
- Cardiovascular Imaging Research Center, Massachusetts General Hospital-Harvard Medical School, Boston, Massachusetts, USA; Division of Cardiology, Medical University of Vienna, Vienna, Austria
| | - Jerome L Fleg
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - W Frank Peacock
- Department of Emergency Medicine, Baylor College of Medicine, Boston, Massachusetts, USA
| | - James L Januzzi
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Wolfgang Koenig
- Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany; Deutsches Herzzentrum München, Technische Universität München, Munich, Germany; DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Udo Hoffmann
- Cardiovascular Imaging Research Center, Massachusetts General Hospital-Harvard Medical School, Boston, Massachusetts, USA
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McCord J, Hana A, Cook B, Hudson MP, Miller J, Akoegbe G, Mueller C, Moyer M, Jacobsen G, Nowak R. The role of cardiac testing with the 0/1-hour high-sensitivity cardiac troponin algorithm evaluating for acute myocardial infarction. Am Heart J 2021; 233:68-77. [PMID: 33373603 DOI: 10.1016/j.ahj.2020.12.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 12/22/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND The role of cardiac testing in the 3 zones (rule-out, observation, and rule-in) of the 0/1-hour algorithm to evaluate for acute myocardial infarction (AMI) has not been well studied. This study evaluated the 0/1-hour algorithm with a high-sensitivity cardiac troponin (hs-cTnI) assay and investigated cardiac testing in the 3 zones. METHODS Patients (n = 552) at a single urban center were enrolled if they were evaluated for AMI. Blood samples were obtained at presentation, 1 hour, and 3 hours for hs-cTnI. Follow-up at 30 to 45 days for death/AMI was done. The results of echocardiograms, stress testing, and coronary angiography were recorded. RESULTS In total, 45 (8.2%) had AMI (27 Type 1 and 18 Type 2) during the index hospitalization while at follow-up death/AMI occurred in 11 (2.0%) of patients. The rule-out algorithm had a negative predictive value for AMI of 99.6% while the rule-in zone had a positive predictive value of 56.6%. The MACE rate at follow-up was 0.4% for those in the rule-out group. There were 6/95 (6.3%) abnormal stress tests in the rule-out zone and 4 of these were false positives. CONCLUSIONS The 0/1-hour algorithm had high diagnostic sensitivity and negative predictive value for AMI, and adverse events were very low in patients in the rule-out zone. Noninvasive testing in rule-out zone patients had low diagnostic yield.
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Allen BR, Christenson RH, Cohen SA, Nowak R, Wilkerson RG, Mumma B, Madsen T, McCord J, Huis In't Veld M, Massoomi M, Stopyra JP, Montero C, Weaver MT, Yang K, Mahler SA. Diagnostic Performance of High-Sensitivity Cardiac Troponin T Strategies and Clinical Variables in a Multisite US Cohort. Circulation 2021; 143:1659-1672. [PMID: 33474976 DOI: 10.1161/circulationaha.120.049298] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND European data support the use of low high-sensitivity troponin (hs-cTn) measurements or a 0/1-hour (0/1-h) algorithm for myocardial infarction to exclude major adverse cardiac events (MACEs) among patients in the emergency department with possible acute coronary syndrome. However, modest US data exist to validate these strategies. This study evaluated the diagnostic performance of an initial hs-cTnT measure below the limit of quantification (LOQ: 6 ng/L), a 0/1-h algorithm, and their combination with history, ECG, age, risk factors, and initial troponin (HEART) scores for excluding MACE in a multisite US cohort. METHODS A prospective cohort study was conducted at 8 US sites, enrolling adult patients in the emergency department with symptoms suggestive of acute coronary syndrome and without ST-elevation on ECG. Baseline and 1-hour blood samples were collected, and hs-cTnT (Roche; Basel, Switzerland) was measured. Treating providers blinded to hs-cTnT results prospectively calculated HEART scores. MACE (cardiac death, myocardial infarction, and coronary revascularization) at 30 days was adjudicated. The proportion of patients with initial hs-cTnT measures below the LOQ and risk according to a 0/1-h algorithm was determined. The negative predictive value (NPV) was calculated for both strategies when used alone or with a HEART score. RESULTS Among 1462 participants with initial hs-cTnT measures, 46.4% (678 of 1462) were women and 37.1% (542 of 1462) were Black with an age of 57.6±12.9 (mean±SD) years. MACEs at 30 days occurred in 14.4% (210 of 1462) of participants. Initial hs-cTnT measures below the LOQ occurred in 32.8% (479 of 1462), yielding an NPV of 98.3% (95% CI, 96.7-99.3) for 30-day MACEs. A low-risk HEART score with an initial hs-cTnT below the LOQ occurred in 20.1% (294 of 1462), yielding an NPV of 99.0% (95% CI, 97.0-99.8) for 30-day MACEs. A 0/1-h algorithm was complete in 1430 patients, ruling out 57.8% (826 of 1430) with an NPV of 97.2% (95% CI, 95.9-98.2) for 30-day MACEs. Adding a low HEART score to the 0/1-h algorithm ruled out 30.8% (441 of 1430) with an NPV of 98.4% (95% CI, 96.8-99.4) for 30-day MACEs. CONCLUSIONS In a prospective multisite US cohort, an initial hs-cTnT below the LOQ combined with a low-risk HEART score has a 99% NPV for 30-day MACEs. The 0/1-h hs-cTnT algorithm did not achieve an NPV >99% for 30-day MACEs when used alone or with a HEART score. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02984436.
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Affiliation(s)
- Brandon R Allen
- Department of Emergency Medicine, College of Medicine (B.R.A., S.A.C., C.M.), University of Florida, Gainesville
| | - Robert H Christenson
- Departments of Pathology (R.H.C.), University of Maryland School of Medicine, Baltimore
| | - Scott A Cohen
- Department of Emergency Medicine, College of Medicine (B.R.A., S.A.C., C.M.), University of Florida, Gainesville
| | - Richard Nowak
- Department of Emergency Medicine (R.N.), Henry Ford Hospital, Detroit, MI
| | - R Gentry Wilkerson
- Emergency Medicine (R.G.W., M.H.i.V.), University of Maryland School of Medicine, Baltimore
| | - Bryn Mumma
- Department of Emergency Medicine, School of Medicine, University of California Davis, Sacramento (B.M.)
| | - Troy Madsen
- Division of Emergency Medicine, University of Utah School of Medicine, Salt Lake City (T.M.)
| | - James McCord
- Heart and Vascular Institute (J.M.), Henry Ford Hospital, Detroit, MI
- Department of Internal Medicine (J.M.), Henry Ford Hospital, Detroit, MI
| | - Maite Huis In't Veld
- Emergency Medicine (R.G.W., M.H.i.V.), University of Maryland School of Medicine, Baltimore
| | - Michael Massoomi
- Division of Cardiology, Department of Internal Medicine, College of Medicine (M.M.), University of Florida, Gainesville
| | - Jason P Stopyra
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, NC (J.P.S., S.A.M.)
| | - Cindy Montero
- Department of Emergency Medicine, College of Medicine (B.R.A., S.A.C., C.M.), University of Florida, Gainesville
| | - Michael T Weaver
- Department of Biobehavioral Nursing Science, College of Nursing (M.T.W.), University of Florida, Gainesville
| | - Kai Yang
- Department of Biostatistics, College of Public Health and Health Professions (K.Y.), University of Florida, Gainesville
| | - Simon A Mahler
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, NC (J.P.S., S.A.M.)
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Perrone MA, Storti S, Salvadori S, Pecori A, Bernardini S, Romeo F, Guccione P, Clerico A. Cardiac troponins: are there any differences between T and I? J Cardiovasc Med (Hagerstown) 2021; 22:797-805. [PMID: 33399346 DOI: 10.2459/jcm.0000000000001155] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The most recent international guidelines recommend the measurement of cardiac troponin I (cTnI) and cardiac troponin T (cTnT) using high-sensitivity methods (hs-cTn) for the detection of myocardial injury and the differential diagnosis of acute coronary syndromes. Myocardial injury is a prerequisite for the diagnosis of acute myocardial infarction, but also a distinct entity. The 2018 Fourth Universal Definition of Myocardial Infarction states that myocardial injury is detected when at least one value above the 99th percentile upper reference limit is measured in a patient with high-sensitivity methods for cTnI or cTnT. Not infrequently, increased hs-cTnT levels are reported in patients with congenital or chronic neuromuscular diseases, while the hs-cTnI values are often in the normal range. Furthermore, some discrepancies between the results of laboratory tests for the two troponins are occasionally found in individuals apparently free of cardiac diseases, and also in patients with cardiac diseases. In this review article, authors discuss the biochemical, pathophysiological and analytical mechanisms which may cause discrepancies between hs-cTnI and hs-cTnT test results.
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Affiliation(s)
- Marco A Perrone
- Department of Pediatric Cardiology and Cardiac Surgery, Bambino Gesù Children's Hospital IRCCS Division of Cardiology, University of Rome Tor Vergata, Rome CNR-Regione Toscana G. Monasterio Foundation, Heart Hospital, Massa, and Scuola Superiore Sant'Anna CNR Institute of Clinical Physiology, Pisa Division of Clinical Biochemistry and Clinical Molecular Biology, University of Rome Tor Vergata, Rome, Italy
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van der Hagen EAE, Cobbaert CM, Meijer R, Thelen MHM. Fast 0/1-h algorithm for detection of NSTEMI: are current high-sensitivity cardiac troponin assays fit for purpose? An EQA-based evaluation. Clin Chem Lab Med 2020; 57:1999-2007. [PMID: 31326959 DOI: 10.1515/cclm-2019-0253] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 06/20/2019] [Indexed: 02/06/2023]
Abstract
Background High-sensitivity cardiac troponin T/I (hs-cTnT/I) assays have improved analytical sensitivity for the detection of myocardial infarction (MI). To gain clinical specificity and sensitivity, interpretation of changes in cTn concentrations over time is crucial. The 2015 ESC NSTEMI guideline defines absolute delta values as additional rule-in and rule-out criteria for MI. A critical assumption for application of this rule is that total analytical imprecision within the delta period, including inter-instrument bias, is comparable to analytical imprecision in the validation studies. Methods Data from the Dutch External Quality Assessment Scheme (EQAS) were used to calculate inter-instrument bias and estimate imprecision for the measuring range where the proposed delta values are relevant: for Roche Elecsys hs-cTnT, 5-52 and 5-12 ng/L; for Abbott Architect hs-cTnI, 2-52 and 2-5 ng/L for rule-in and rule-out, respectively. Results For Elecsys, the median inter-instrument bias is 0.3 ng/L (n = 33 laboratories), resulting in reference change values (RCVs) of 3.0 and 1.7 ng/L, respectively, for rule-in and rule-out with imprecision as claimed by the manufacturer. With RCVs smaller than the guideline's delta thresholds, 100% of the laboratories have adequate specifications. RCVs for rule-in/rule-out increased to 4.6 ng/L/2.5 ng/L, respectively, with individual imprecisions as estimated from EQA data, resulting in 64% and 82% of laboratories with adequate specifications. For Architect, 40% of instruments (n = 10) might falsely qualify the result as clinically relevant; hence, inter-instrument bias could not be determined. Conclusions We advise laboratories that use the fast 0/1-h algorithm to introduce stringent internal quality procedures at the relevant/low concentration level, especially when multiple analyzers are randomly used.
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Affiliation(s)
- Eline A E van der Hagen
- Dutch Foundation for Quality Assessment in Medical Laboratories (SKML), Nijmegen, The Netherlands.,Department of Clinical Chemistry, Queen Beatrix Hospital, Beatrixpark 1, 7101 BN Winterswijk, The Netherlands, Phone: +31 543544774
| | - Christa M Cobbaert
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Ron Meijer
- Dutch Foundation for Quality Assessment in Medical Laboratories (SKML), Nijmegen, The Netherlands
| | - Marc H M Thelen
- Dutch Foundation for Quality Assessment in Medical Laboratories (SKML), Nijmegen, The Netherlands.,Department of Clinical Chemistry and Haematology, Amphia Hospital, Breda, The Netherlands
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Tscherny K, Kienbacher C, Fuhrmann V, Schreiber W, Herkner H, Roth D. Early identification of patients with chest pain at very low risk of acute myocardial infarction using clinical information and ECG only. Int J Clin Pract 2020; 74:e13526. [PMID: 32383504 PMCID: PMC7507208 DOI: 10.1111/ijcp.13526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 05/02/2020] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND A considerable proportion of patients with angina-like symptoms in an emergency department have very low pretest probability for acute myocardial infarction (AMI). Numerous algorithms exist for the exclusion of AMI, usually including laboratory tests. We aimed to investigate whether patients with very low risk can safely be identified by ECG and clinical information without biomarker testing, contributing to saving time and costs. METHODS Prospective diagnostic test accuracy study. We included all consecutive patients presenting with angina at the department of emergency medicine of a tertiary care hospital during a 1-year period. Using clinical information without biomarker testing and ECG, the "Mini-GRACE score," based on the well-established GRACE-score without using laboratory parameters was calculated. In a cohort design we compared the index test Mini-GRACE to AMI as reference standard in the final diagnosis using standard measures of diagnostic test accuracy. RESULTS We included 2755 patients (44% female, age 44 ± 17 years). AMI was diagnosed in 103 (4%) patients, among those 44% with STEMI. Overall 2562 patients (93%) had a negative "Mini-GRACE," four (0.2%) of these patients had myocardial infarction, and this results in a sensitivity of 96.1% (95% CI 90.4%-98.9%), specificity 96.5% (95.7%-97.1%), positive predictive value 51.3% (46.3%-56.3%) and negative predictive value 99.8% (99.6%-99.9%). Model performance according to C statistic (0.90) and Brier score (0.0045) was excellent. In rule-out patients 30-day mortality was 0.3% and 1-year mortality was 0.8%. CONCLUSIONS Patients with very low risk of AMI can be identified with high certainty using clinical information without biomarker testing and ECG. Cardiac biomarkers might be avoided in such cases, potentially leading to a significant cost reduction.
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Affiliation(s)
- Katharina Tscherny
- Department of Emergency MedicineMedical University of ViennaViennaAustria
| | - Calvin Kienbacher
- Department of Emergency MedicineMedical University of ViennaViennaAustria
| | - Verena Fuhrmann
- Department of Emergency MedicineMedical University of ViennaViennaAustria
| | - Wolfgang Schreiber
- Department of Emergency MedicineMedical University of ViennaViennaAustria
| | - Harald Herkner
- Department of Emergency MedicineMedical University of ViennaViennaAustria
| | - Dominik Roth
- Department of Emergency MedicineMedical University of ViennaViennaAustria
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Gu W, Tang W, Zhang Z, Xu M, Wu J. Two different troponin isoforms for detecting early myocardial injury after curative resection of oesophageal cancer. J Cardiothorac Surg 2020; 15:189. [PMID: 32711546 PMCID: PMC7382821 DOI: 10.1186/s13019-020-01225-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Accepted: 07/13/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The objective of this study was to explore the consistency and correlation of two troponin (cTn) subtypes, troponin I (cTnI) and high-sensitivity troponin T (hs-cTnT), which can be used to judge early myocardial injury after curative resection of oesophageal cancer. METHODS This study is a secondary analysis of data obtained from a previous randomized controlled trial on postoperative myocardial injury in 70 patients undergoing elective curative resection of oesophageal cancer who were randomly assigned to undergo aggressive body temperature management (nasopharyngeal temperature 36.61 ± 0.18 °C) or standard body temperature management (35.80 ± 0.18 °C, n = 35 in each arm). The serum cTnI and hs-cTnT levels were measured in each patient at the 4 time points: before the operation and 6 h ~ 12 h, 24 h and 48 h after the operation. The diagnostic criteria of myocardial injury followed the third edition ESC/ACCF definition of myocardial infarction. The primary outcomes included the following: (1) the incidence of myocardial injury and the relationship between hs-cTnT and cTn and (2) the consistency and correlation of the two cTn subtypes. RESULTS A total of 280 pairs of cTn samples were tested. The incidence of postoperative day 2 myocardial injury was 8.6% (3/35) among patients receiving aggressive body temperature management and 31.4% (11/35) among patients receiving standard body temperature management (P < 0.05). Among 3 patients who experienced myocardial injury in the aggressive body temperature management group, 2 met the diagnostic criteria for cTnI and hs-cTnT and only 1 met the diagnostic criteria for hs-cTnT. Among the 11 patients who experienced myocardial injury in the standard body temperature management group, 7 met the diagnostic criteria for cTnI and hs-cTnT and only 3 met the diagnostic criteria for hs-cTnT; only 1 met the diagnostic criteria for cTnI. The bias of cTnI and hs-cTnT was - 8.82 ± 31.91 ng/L. The consistency limit was - 71.37 ~ 53.73 ng/L. The proportion within the scope of the consistency of its corresponding boundary was 98.57%. The correlation coefficient of cTnI and hs-cTnT was 0.845 (P < 0.05). CONCLUSIONS In the evaluation of postoperative myocardial injury in patients undergoing curative resection of oesophageal cancer, cTnI and hs-cTnT exhibit high consistency and a good correlation. The combination of cTnI and hs-cTnT can improve the detection rate of myocardial injury, thus providing a better reference than a single measure alone for reducing the risk of perioperative myocardial injury in patients. TRIAL REGISTRATION ChiCTR-INR-17011621 . Registered June 10, 2017.
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Affiliation(s)
- Wei Gu
- Department of Anaesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 Huaihai Rd. West, Shanghai, China
| | - Wei Tang
- Department of Anaesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 Huaihai Rd. West, Shanghai, China
| | - Zuojing Zhang
- Department of Anaesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 Huaihai Rd. West, Shanghai, China
| | - Meiying Xu
- Department of Anaesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 Huaihai Rd. West, Shanghai, China
| | - Jingxiang Wu
- Department of Anaesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 Huaihai Rd. West, Shanghai, China.
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Rubini Giménez M, Wildi K, Wussler D, Koechlin L, Boeddinghaus J, Nestelberger T, Badertscher P, Sedlmayer R, Puelacher C, Zimmermann T, du Fay de Lavallaz J, Lopez-Ayala P, Leu K, Rentsch K, Miró Ò, López B, Martín-Sánchez FJ, Bustamante J, Kawecki D, Parenica J, Lohrmann J, Kloos W, Buser A, Keller DI, Reichlin T, Twerenbold R, Mueller C. Early kinetics of cardiac troponin in suspected acute myocardial infarction. ACTA ACUST UNITED AC 2020; 74:502-509. [PMID: 32451223 DOI: 10.1016/j.rec.2020.04.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 04/02/2020] [Indexed: 01/22/2023]
Abstract
INTRODUCTION AND OBJECTIVES Release kinetics of high-sensitivity cardiac troponin (hs-cTn) T and I in patients with acute myocardial infarction (AMI) are incompletely understood. We aimed to assess whether hs-cTnT/I release in early AMI is near linear. METHODS In a prospective diagnostic multicenter study the acute release of hs-cTnT and hs-cTnI within 1 and 2hours from presentation to the emergency department was quantified using 3 hs-cTnT/I assays in patients with suspected AMI. The primary endpoint was correlation between hs-cTn changes from presentation to 1 hour vs changes from presentation to 2hours, among all AMI patients and different prespecified subgroups. The final diagnosis was adjudicated by 2 independent cardiologists, based on serial hs-cTnT from the serial study blood samples and additional locally measured hs-cTn values. RESULTS Among 2437 patients with complete hs-cTnT data, AMI was the adjudicated diagnosis in 376 patients (15%). For hs-cTnT, the correlation coefficient between 0- to 1-hour change and 0- to 2 hour change was 0.931 (95%CI, 0.916-0.944), P <.001. Similar findings were obtained with hs-cTnI (Architect) with correlation coefficients between 0- to 1-hour change and 0- to 2 hour change of 0.969 and hs-cTnI (Centaur) of 0.934 (P <.001 for both). Findings were consistent among type 1 and type 2 AMI and in the subgroup of patients presenting very early after chest pain onset. CONCLUSIONS Patients presenting with early AMI showed a near linear release of hs-cTnT and hs-cTnI. This near linearity provides the pathophysiological basis for rapid diagnostic algorithms using 0- to 1-hour changes as surrogates for 0- to 2 hour or 0- to 3 hour changes. Registered at ClinicalTrials.gov (Identifier: NCT00470587).
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Affiliation(s)
- María Rubini Giménez
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland; Department of Cardiology, Heart Center Leipzig, Leipzig, Germany
| | - Karin Wildi
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland; Critical Care Research Institute, the Prince Charles Hospital, Brisbane and University of Queensland, Brisbane, Australia
| | - Desiree Wussler
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland; Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Luca Koechlin
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland; Department of Heart Surgery, University Hospital Basel, Basel, Switzerland
| | - Jasper Boeddinghaus
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland; Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Thomas Nestelberger
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland
| | - Patrick Badertscher
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland; Department of Cardiology, University of Illinois at Chicago, Chicago, United States
| | - Raphael Sedlmayer
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland
| | - Christian Puelacher
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland; Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Tobias Zimmermann
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland
| | - Jeanne du Fay de Lavallaz
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland; Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Pedro Lopez-Ayala
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland; Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Kathrin Leu
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland
| | | | - Òscar Miró
- Servicio de Urgencias, Hospital Clínic, Barcelona, Spain
| | - Beatriz López
- Servicio de Urgencias, Hospital Clínic, Barcelona, Spain
| | | | - José Bustamante
- Servicio de Urgencias, Hospital Clínico San Carlos, Madrid, Spain
| | - Damian Kawecki
- 2nd Department of Cardiology, Medical University of Silesia, Zabrze, Poland
| | - Jiri Parenica
- Department of Cardiology, University Hospital Brno, Brno, Czech Republic and Medical Faculty, Masaryk University, Brno, Czech Republic
| | - Jens Lohrmann
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland; Emergency Department, University Hospital Basel, Basel, Switzerland
| | - Wanda Kloos
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland; Emergency Department, University Hospital Basel, Basel, Switzerland
| | - Andreas Buser
- Blood Transfusion Centre, Swiss Red Cross, Basel, Switzerland and Department of Hematology, University Hospital Basel, Basel, Switzerland
| | - Dagmar I Keller
- Emergency Department, University Hospital Zurich, Zurich, Switzerland
| | - Tobias Reichlin
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland; Department of Department, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Raphael Twerenbold
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland
| | - Christian Mueller
- Department of Cardiology and Cardiovascular Research, Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland.
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Nestelberger T, Boeddinghaus J, Wussler D, Twerenbold R, Badertscher P, Wildi K, Miró Ò, López B, Martin-Sanchez FJ, Muzyk P, Koechlin L, Baumgartner B, Meier M, Troester V, Rubini Giménez M, Puelacher C, du Fay de Lavallaz J, Walter J, Kozhuharov N, Zimmermann T, Gualandro DM, Michou E, Potlukova E, Geigy N, Keller DI, Reichlin T, Mueller C. Predicting Major Adverse Events in Patients With Acute Myocardial Infarction. J Am Coll Cardiol 2020; 74:842-854. [PMID: 31416527 DOI: 10.1016/j.jacc.2019.06.025] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 05/06/2019] [Accepted: 06/03/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Early and accurate detection of short-term major adverse cardiac events (MACE) in patients with suspected acute myocardial infarction (AMI) is an unmet clinical need. OBJECTIVES The goal of this study was to test the hypothesis that adding clinical judgment and electrocardiogram findings to the European Society of Cardiology (ESC) high-sensitivity cardiac troponin (hs-cTn) measurement at presentation and after 1 h (ESC hs-cTn 0/1 h algorithm) would further improve its performance to predict MACE. METHODS Patients presenting to an emergency department with suspected AMI were enrolled in a prospective, multicenter diagnostic study. The primary endpoint was MACE, including all-cause death, cardiac arrest, AMI, cardiogenic shock, sustained ventricular arrhythmia, and high-grade atrioventricular block within 30 days including index events. The secondary endpoint was MACE + unstable angina (UA) receiving early (≤24 h) revascularization. RESULTS Among 3,123 patients, the ESC hs-cTnT 0/1 h algorithm triaged significantly more patients toward rule-out compared with the extended algorithm (60%; 95% CI: 59% to 62% vs. 45%; 95% CI: 43% to 46%; p < 0.001), while maintaining similar 30-day MACE rates (0.6%; 95% CI: 0.3% to 1.1% vs. 0.4%; 95% CI: 0.1% to 0.9%; p = 0.429), resulting in a similar negative predictive value (99.4%; 95% CI: 98.9% to 99.6% vs. 99.6%; 95% CI: 99.2% to 99.8%; p = 0.097). The ESC hs-cTnT 0/1 h algorithm ruled-in fewer patients (16%; 95% CI: 14.9% to 17.5% vs. 26%; 95% CI: 24.2% to 27.2%; p < 0.001) compared with the extended algorithm, albeit with a higher positive predictive value (76.6%; 95% CI: 72.8% to 80.1% vs. 59%; 95% CI: 55.5% to 62.3%; p < 0.001). For 30-day MACE + UA, the ESC hs-cTnT 0/1 h algorithm had a higher positive predictive value for rule-in, whereas the extended algorithm had a higher negative predictive value for the rule-out. Similar findings emerged when using hs-cTnI. CONCLUSIONS The ESC hs-cTn 0/1 h algorithm better balanced efficacy and safety in the prediction of MACE, whereas the extended algorithm is the preferred option for the rule-out of 30-day MACE + UA. (Advantageous Predictors of Acute Coronary Syndromes Evaluation [APACE]; NCT00470587).
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Affiliation(s)
- Thomas Nestelberger
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network. https://twitter.com/thomas_nest
| | - Jasper Boeddinghaus
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network; Department of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland. https://twitter.com/J_Boeddinghaus
| | - Desiree Wussler
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network; Department of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Raphael Twerenbold
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Patrick Badertscher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network; Division of Cardiology, University of Illinois at Chicago, Chicago, Illinois
| | - Karin Wildi
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network; Critical Care Research Institute, The Prince Charles Hospital, Brisbane and University of Queensland, Brisbane, Queensland, Australia
| | - Òscar Miró
- GREAT Network; Emergency Department, Hospital Clinic, Barcelona, Spain
| | - Beatriz López
- Emergency Department, Hospital Clinic, Barcelona, Spain
| | | | - Piotr Muzyk
- GREAT Network; 2(nd) Department of Cardiology, School of Medicine with the Division of Dentistry, Zabrze, Medical University of Katowice, Katowice, Poland
| | - Luca Koechlin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network; Department of Cardiac Surgery, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Benjamin Baumgartner
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Mario Meier
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Valentina Troester
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Maria Rubini Giménez
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Christian Puelacher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network; Department of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jeanne du Fay de Lavallaz
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Joan Walter
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Nikola Kozhuharov
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Tobias Zimmermann
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Danielle M Gualandro
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Eleni Michou
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Eliska Potlukova
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Nicolas Geigy
- Emergency Department, Kantonsspital Baselland, Liestal, Switzerland
| | - Dagmar I Keller
- Emergency Department, University Hospital Zürich, Zürich, Switzerland
| | - Tobias Reichlin
- GREAT Network; Department of Cardiology, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network.
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Zaninotto M, Padoan A, Mion MM, Marinova M, Plebani M. Short-term biological variation and diurnal rhythm of cardiac troponin I (Access hs-TnI) in healthy subjects. Clin Chim Acta 2020; 504:163-167. [DOI: 10.1016/j.cca.2020.02.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 02/04/2020] [Accepted: 02/04/2020] [Indexed: 01/07/2023]
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Chaulin AM, Karslyan LS, Bazyuk EV, Nurbaltaeva DA, Duplyakov DV. [Clinical and Diagnostic Value of Cardiac Markers in Human Biological Fluids]. ACTA ACUST UNITED AC 2019; 59:66-75. [PMID: 31849301 DOI: 10.18087/cardio.2019.11.n414] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Accepted: 03/22/2019] [Indexed: 11/18/2022]
Abstract
The article is devoted to problems of clinical-diagnostic value of determination of cardio-specific troponins in human biological fluids. Improvement of laboratory instrumentation and emergence of high sensitivity methods of analysis have allowed to identify troponins in urine, dialysate, and oral fluid. In the review we present actual information related to measurement of troponins in blood serum, data on testing of cardio-specific troponins in urine, dialysate, and oral fluid. Special attention is paid to determination of some cardiomarkers in oral fluid with thorough analysis of diagnostic value and effectiveness of the conducted studies.
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Affiliation(s)
- A M Chaulin
- Samara State Medical University; Samara Regional Cardiology Dispensary
| | - L S Karslyan
- Samara State Medical University; Samara Regional Cardiology Dispensary
| | | | | | - D V Duplyakov
- Samara State Medical University; Samara Regional Cardiology Dispensary
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Boeddinghaus J, Twerenbold R, Nestelberger T, Koechlin L, Wussler D, Meier M, Troester V, Zimmermann T, Badertscher P, Wildi K, Rubini Giménez M, Lopez-Ayala P, Potlukova E, Miró Ò, Martin-Sanchez FJ, Kawecki D, Geigy N, Keller DI, Reichlin T, Mueller C. Clinical Use of a New High-Sensitivity Cardiac Troponin I Assay in Patients with Suspected Myocardial Infarction. Clin Chem 2019; 65:1426-1436. [PMID: 31570633 DOI: 10.1373/clinchem.2019.304725] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 08/07/2019] [Indexed: 11/06/2022]
Abstract
BACKGROUND We aimed to validate the clinical performance of the high-sensitivity cardiac troponin I [VITROS® Immunodiagnostic Products hs Troponin I (hs-cTnI-VITROS)] assay. METHODS We enrolled patients presenting to the emergency department with symptoms suggestive of acute myocardial infarction (AMI). Final diagnoses were centrally adjudicated by 2 independent cardiologists considering all clinical information, including cardiac imaging: first, using serial hs-cTnT-Elecsys (primary analysis) and, second, using hs-cTnI-Architect (secondary analysis) measurements in addition to the clinically used (hs)-cTn. hs-cTnI-VITROS was measured at presentation and at 1 h in a blinded fashion. The primary objective was direct comparison of diagnostic accuracy as quantified by the area under the ROC curve (AUC) of hs-cTnI-VITROS vs hs-cTnT-Elecsys and hs-cTnI-Architect, and in a subgroup also hs-cTnI-Centaur and hs-cTnI-Access. Secondary objectives included the derivation and validation of an hs-cTnI-VITROS-0/1-h algorithm. RESULTS AMI was the adjudicated final diagnosis in 158 of 1231 (13%) patients. At presentation, the AUC for hs-cTnI-VITROS was 0.95 (95% CI, 0.93-0.96); for hs-cTnT-Elecsys, 0.94 (95% CI, 0.92-0.95); and for hs-cTnI-Architect, 0.92 (95% CI, 0.90-0.94). AUCs for hs-cTnI-Centaur and hs-cTnI-Access were 0.95 (95% CI, 0.94-0.97). Applying the derived hs-cTnI-VITROS-0/1-h algorithm (derivation cohort n = 519) to the validation cohort (n = 520), 53% of patients were ruled out [sensitivity, 100% (95% CI, 94.1-100)] and 14% of patients were ruled in [specificity, 95.6% (95% CI, 93.4-97.2)]. Patients ruled out by the 0/1-h algorithm had a survival rate of 99.8% at 30 days. Findings were confirmed in the secondary analyses using the adjudication including serial measurements of hs-cTnI-Architect. CONCLUSIONS The hs-cTnI-VITROS assay has at least comparable diagnostic accuracy with the currently best validated hs-cTnT and hs-cTnI assays. CLINICALTRIALSGOV IDENTIFIER NCT00470587.
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Affiliation(s)
- Jasper Boeddinghaus
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland.,GREAT network
| | - Raphael Twerenbold
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,GREAT network
| | - Thomas Nestelberger
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,GREAT network
| | - Luca Koechlin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,Department of Cardiac Surgery, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Desiree Wussler
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland.,GREAT network
| | - Mario Meier
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,GREAT network
| | - Valentina Troester
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,GREAT network
| | - Tobias Zimmermann
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,GREAT network
| | - Patrick Badertscher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,GREAT network.,Division of Cardiology, University of Illinois at Chicago, Chicago, IL
| | - Karin Wildi
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,GREAT network.,Critical Care Research Group, the Prince Charles Hospital, Brisbane and the University of Queensland, Brisbane, Australia
| | - Maria Rubini Giménez
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,GREAT network
| | - Pedro Lopez-Ayala
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,GREAT network
| | - Eliska Potlukova
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Òscar Miró
- GREAT network.,Emergency Department, Hospital Clinic, Barcelona, Catalonia, Spain
| | | | - Damian Kawecki
- GREAT network.,2nd Department of Cardiology, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Katowice, Katowice, Poland
| | - Nicolas Geigy
- Emergency Department, Kantonsspital Liestal, Liestal, Switzerland
| | - Dagmar I Keller
- Emergency Department, University Hospital Zurich, Zurich, Switzerland
| | - Tobias Reichlin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,GREAT network.,Department of Cardiology, Inselspital, University of Bern, Bern, Switzerland
| | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; .,GREAT network
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van der Linden N, Wildi K, Twerenbold R, Pickering JW, Than M, Cullen L, Greenslade J, Parsonage W, Nestelberger T, Boeddinghaus J, Badertscher P, Rubini Giménez M, Klinkenberg LJJ, Bekers O, Schöni A, Keller DI, Sabti Z, Puelacher C, Cupa J, Schumacher L, Kozhuharov N, Grimm K, Shrestha S, Flores D, Freese M, Stelzig C, Strebel I, Miró Ò, Rentsch K, Morawiec B, Kawecki D, Kloos W, Lohrmann J, Richards AM, Troughton R, Pemberton C, Osswald S, van Dieijen-Visser MP, Mingels AM, Reichlin T, Meex SJR, Mueller C. Combining High-Sensitivity Cardiac Troponin I and Cardiac Troponin T in the Early Diagnosis of Acute Myocardial Infarction. Circulation 2019; 138:989-999. [PMID: 29691270 DOI: 10.1161/circulationaha.117.032003] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Combining 2 signals of cardiomyocyte injury, cardiac troponin I (cTnI) and T (cTnT), might overcome some individual pathophysiological and analytical limitations and thereby increase diagnostic accuracy for acute myocardial infarction with a single blood draw. We aimed to evaluate the diagnostic performance of combinations of high-sensitivity (hs) cTnI and hs-cTnT for the early diagnosis of acute myocardial infarction. METHODS The diagnostic performance of combining hs-cTnI (Architect, Abbott) and hs-cTnT (Elecsys, Roche) concentrations (sum, product, ratio, and a combination algorithm) obtained at the time of presentation was evaluated in a large multicenter diagnostic study of patients with suspected acute myocardial infarction. The optimal rule-out and rule-in thresholds were externally validated in a second large multicenter diagnostic study. The proportion of patients eligible for early rule-out was compared with the European Society of Cardiology 0/1 and 0/3 hour algorithms. RESULTS Combining hs-cTnI and hs-cTnT concentrations did not consistently increase overall diagnostic accuracy as compared with the individual isoforms. However, the combination improved the proportion of patients meeting criteria for very early rule-out. With the European Society of Cardiology 2015 guideline recommended algorithms and cut-offs, the proportion meeting rule-out criteria after the baseline blood sampling was limited (6% to 24%) and assay dependent. Application of optimized cut-off values using the sum (9 ng/L) and product (18 ng2/L2) of hs-cTnI and hs-cTnT concentrations led to an increase in the proportion ruled-out after a single blood draw to 34% to 41% in the original (sum: negative predictive value [NPV] 100% [95% confidence interval (CI), 99.5% to 100%]; product: NPV 100% [95% CI, 99.5% to 100%]) and in the validation cohort (sum: NPV 99.6% [95% CI, 99.0-99.9%]; product: NPV 99.4% [95% CI, 98.8-99.8%]). The use of a combination algorithm (hs-cTnI <4 ng/L and hs-cTnT <9 ng/L) showed comparable results for rule-out (40% to 43% ruled out; NPV original cohort 99.9% [95% CI, 99.2-100%]; NPV validation cohort 99.5% [95% CI, 98.9-99.8%]) and rule-in (positive predictive value [PPV] original cohort 74.4% [95% Cl, 69.6-78.8%]; PPV validation cohort 84.0% [95% Cl, 79.7-87.6%]). CONCLUSIONS New strategies combining hs-cTnI and hs-cTnT concentrations may significantly increase the number of patients eligible for very early and safe rule-out, but do not seem helpful for the rule-in of acute myocardial infarction. CLINICAL TRIAL REGISTRATION URL (APACE): https://www.clinicaltrial.gov . Unique identifier: NCT00470587. URL (ADAPT): www.anzctr.org.au . Unique identifier: ACTRN12611001069943.
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Affiliation(s)
- Noreen van der Linden
- Department of Clinical Chemistry, Central Diagnostic Laboratory, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center (MUMC), The Netherlands (N.v.d.L., L.J.J.K., O.B., M.P.v.D.-V., A.M.M., S.J.R.M.)
| | - Karin Wildi
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Raphael Twerenbold
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - John W Pickering
- Department of Medicine, University of Otago, Christchurch, New Zealand (J.W.P., M.T., A.M.R., R.T., C.P.)
| | - Martin Than
- Department of Medicine, University of Otago, Christchurch, New Zealand (J.W.P., M.T., A.M.R., R.T., C.P.)
| | - Louise Cullen
- Department of Emergency Medicine, Royal Brisbane and Women's Hospital, Brisbane, Australia (L.C., W.P.).,School of Public Health, Queensland University of Technology, Brisbane, Australia (L.C., J.G., W.P.).,School of Medicine, The University of Queensland, Brisbane, Australia (L.C., J.G., W.P.)
| | - Jaimi Greenslade
- School of Public Health, Queensland University of Technology, Brisbane, Australia (L.C., J.G., W.P.).,School of Medicine, The University of Queensland, Brisbane, Australia (L.C., J.G., W.P.)
| | - William Parsonage
- Department of Emergency Medicine, Royal Brisbane and Women's Hospital, Brisbane, Australia (L.C., W.P.).,School of Public Health, Queensland University of Technology, Brisbane, Australia (L.C., J.G., W.P.).,School of Medicine, The University of Queensland, Brisbane, Australia (L.C., J.G., W.P.)
| | - Thomas Nestelberger
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Jasper Boeddinghaus
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Patrick Badertscher
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Maria Rubini Giménez
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.).,Emergency Department, CIBERES ISC III, Hospital del Mar - IMIM, Barcelona, Spain (M.R.)
| | - Lieke J J Klinkenberg
- Department of Clinical Chemistry, Central Diagnostic Laboratory, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center (MUMC), The Netherlands (N.v.d.L., L.J.J.K., O.B., M.P.v.D.-V., A.M.M., S.J.R.M.)
| | - Otto Bekers
- Department of Clinical Chemistry, Central Diagnostic Laboratory, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center (MUMC), The Netherlands (N.v.d.L., L.J.J.K., O.B., M.P.v.D.-V., A.M.M., S.J.R.M.)
| | - Aline Schöni
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.).,Emergency Department, University Hospital Zürich, Switzerland (A.S., D.I.K.)
| | - Dagmar I Keller
- Emergency Department, University Hospital Zürich, Switzerland (A.S., D.I.K.)
| | - Zaid Sabti
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Christian Puelacher
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Janosch Cupa
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Lukas Schumacher
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Nikola Kozhuharov
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Karin Grimm
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Samyut Shrestha
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Dayana Flores
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Michael Freese
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Claudia Stelzig
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Ivo Strebel
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Òscar Miró
- Emergency Department, Hospital Clinic, Barcelona, Spain (O.M.)
| | | | - Beata Morawiec
- 2nd Department of Cardiology and School of Medicine with the Division of Dentistry, Zabrze, Medical University of Katowice, Katowice, Poland (B.M., D.K.)
| | - Damian Kawecki
- 2nd Department of Cardiology and School of Medicine with the Division of Dentistry, Zabrze, Medical University of Katowice, Katowice, Poland (B.M., D.K.)
| | - Wanda Kloos
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.).,Critical Care Research Group, The Prince Charles Hospital, Brisbane, Australia (K.W.)
| | - Jens Lohrmann
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - A Mark Richards
- Department of Medicine, University of Otago, Christchurch, New Zealand (J.W.P., M.T., A.M.R., R.T., C.P.)
| | - Richard Troughton
- Department of Medicine, University of Otago, Christchurch, New Zealand (J.W.P., M.T., A.M.R., R.T., C.P.)
| | - Christopher Pemberton
- Department of Medicine, University of Otago, Christchurch, New Zealand (J.W.P., M.T., A.M.R., R.T., C.P.)
| | - Stefan Osswald
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Marja P van Dieijen-Visser
- Department of Clinical Chemistry, Central Diagnostic Laboratory, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center (MUMC), The Netherlands (N.v.d.L., L.J.J.K., O.B., M.P.v.D.-V., A.M.M., S.J.R.M.)
| | - Alma M Mingels
- Department of Clinical Chemistry, Central Diagnostic Laboratory, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center (MUMC), The Netherlands (N.v.d.L., L.J.J.K., O.B., M.P.v.D.-V., A.M.M., S.J.R.M.)
| | - Tobias Reichlin
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
| | - Steven J R Meex
- Department of Clinical Chemistry, Central Diagnostic Laboratory, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center (MUMC), The Netherlands (N.v.d.L., L.J.J.K., O.B., M.P.v.D.-V., A.M.M., S.J.R.M.)
| | - Christian Mueller
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland (K.W., R.T., T.N., J.B., P.B., M.R.G., A.S., Z.S., C.P., J.C., L.S., N.K., K.G., S.S., D.F., M.F., C.S., I.S., W.K., J.L., S.O., T.R., C.M.)
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Wang Y, Dai L, Wang N, Zhu Y, Chen M, Wang H. Rapid rule out of acute myocardial infarction in the observe zone using a combination of presentation N-terminal pro-B-type natriuretic peptide and high-sensitivity cardiac troponin I. Clin Biochem 2019; 70:34-38. [DOI: 10.1016/j.clinbiochem.2019.06.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Revised: 06/02/2019] [Accepted: 06/03/2019] [Indexed: 10/26/2022]
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38
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Development of an algorithm for ruling-out non-ST elevation myocardial infarction in the emergency department using high sensitivity troponin T assay. Clin Chim Acta 2019; 495:1-7. [DOI: 10.1016/j.cca.2019.03.1625] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 02/26/2019] [Accepted: 03/21/2019] [Indexed: 12/26/2022]
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Sui Y, Liu T, Luo J, Xu B, Zheng L, Zhao W, Guan Q, Ren L, Dong C, Xiao Y, Qin X, Zhang Y. Elevation of high-sensitivity cardiac troponin T at admission is associated with increased 3-month mortality in acute ischemic stroke patients treated with thrombolysis. Clin Cardiol 2019; 42:881-888. [PMID: 31334875 PMCID: PMC6788486 DOI: 10.1002/clc.23237] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 07/12/2019] [Accepted: 07/17/2019] [Indexed: 12/19/2022] Open
Abstract
Background Elevated levels of cardiac troponin T (cTnT) have been associated with unfavorable outcomes in cardiac patients. However, no studies, to date, have discussed the prognostic value of high‐sensitivity cTnT (hs‐cTnT) in thrombolyzed patients with acute ischemic stroke (AIS). Hypothesis We hypothesized that elevated levels of hs‐cTnT would be associated with poorer clinical outcomes in AIS patients treated with intravenous tissue‐type plasminogen activator (IV tPA). Methods From January 2017 to February 2018, a total of 241 AIS patients treated with IV tPA within 4.5 hours of onset were recruited. On admission, patients were stratified into either normal or elevated hs‐cTnT groups according to a cutoff value of 14 ng/L. Multivariable logistic regression analyses were conducted to identify determinants of hs‐cTnT elevation and to detect whether elevated hs‐cTnT was associated with disability and/or mortality. Results In multivariable regression analysis, older age (P < .001) and stroke etiology (P = .024) were significantly associated with elevated hs‐cTnT levels. After adjusting for demographic and clinical characteristics, hs‐cTnT elevation was still significantly associated with 14‐day major disability (modified Rankin Scale (mRS) 3‐5, model 1, P = .019, odds ratio [OR] 2.677; model 2, P = .015, OR 2.834), 14‐day composite unfavorable outcome (mRS 3‐6, model 1, P = .005, OR 3.525; model 2, P = .003, OR 3.976), 30‐day mortality (P = .049, OR 4.545) and 90‐day mortality (P = .049, OR 3.835). Conclusions Elevation of hs‐cTnT at admission is associated with an increased risk of 90‐day mortality in AIS patients treated with IV tPA.
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Affiliation(s)
- Yi Sui
- Department of Neurology, Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China
| | - Ting Liu
- Department of Neurology, Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China
| | - Jianfeng Luo
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
| | - Bing Xu
- Department of Neurology, Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China
| | - Liqiang Zheng
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Weijin Zhao
- Department of Neurology, Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China
| | - Qi Guan
- Department of Medical Laboratory, Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China
| | - Li Ren
- Department of Neurology, Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China
| | - Chunyao Dong
- Department of Neurology, Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China
| | - Ying Xiao
- Department of Neurology, Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China
| | - Xue Qin
- Department of Neurology, Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China
| | - Yao Zhang
- Department of Neurology, Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China
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Boeddinghaus J, Nestelberger T, Twerenbold R, Koechlin L, Meier M, Troester V, Wussler D, Badertscher P, Wildi K, Puelacher C, du Fay de Lavallaz J, Rubini Giménez M, Zimmermann T, Hafner B, Potlukova E, Miró Ò, Martin-Sanchez FJ, Keller DI, Reichlin T, Mueller C, Walter JE, Strebel I, Kozhuharov N, Freese M, Fuenzalida C, Stelzig C, Gualandro DM, Michou E, Meissner K, Kulangara C, Shrestha S, Fahrni G, Osswald S, López B, Adrada ER, Ganovská E, Lohrmann J, Kloos W, Steude J, Buser A, von Eckardstein A, Morawiec B, Kawecki D, Nowalany-Kozielska E, Muzyk P, Geigy N, Rentsch K. High-Sensitivity Cardiac Troponin I Assay for Early Diagnosis of Acute Myocardial Infarction. Clin Chem 2019; 65:893-904. [DOI: 10.1373/clinchem.2018.300061] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 02/25/2019] [Indexed: 12/17/2022]
Abstract
Abstract
BACKGROUND
The aim of this study was to validate the clinical performance of the Beckman Access high-sensitivity cardiac troponin I (hs-cTnI) assay.
METHODS
We enrolled patients presenting to the emergency department with symptoms suggestive of acute myocardial infarction (AMI). Final diagnoses were centrally adjudicated by 2 independent cardiologists with all clinical information including cardiac imaging twice: first, using serial hs-cTnT (Elecsys, primary analysis), and second, using hs-cTnI (Architect, secondary analysis) measurements in addition to the clinically used hs-cTn. hs-cTnI Access was measured at presentation and at 1 h. The primary objective was a direct comparison of diagnostic accuracy as quantified by the area under the ROC curve (AUC) of hs-cTnI Access vs the hs-cTnT Elecsys and hs-cTnI Architect assays. Secondary objectives included the derivation and validation of an hs-cTnI Access-specific 0/1-h algorithm.
RESULTS
AMI was the adjudicated final diagnosis in 243 of 1579 (15.4%) patients. The AUC at presentation for hs-cTnI Access was 0.95 (95% CI, 0.94–0.96), higher than hs-cTnI Architect [0.92 (95% CI, 0.91–0.94; P < 0.001)] and comparable to hs-cTnT Elecsys [0.94 (95% CI, 0.93–0.95; P = 0.12)]. Applying the derived hs-cTnI Access 0/1-h algorithm (derivation cohort n = 686) to the validation cohort (n = 680), 60% of patients were ruled out [sensitivity, 98.9% (95% CI, 94.3–99.8)], and 15% of patients were ruled in [specificity, 95.9% (95% CI, 94.0–97.2)]. Patients ruled out by the 0/1-h algorithm had a survival rate of 100% at 30 days. Findings were confirmed in the secondary analyses by the adjudication including serial measurements of Architect hs-cTnI.
CONCLUSIONS
Diagnostic accuracy and clinical utility of the Beckman hs-cTnI Access assay are very high and at least comparable to Roche hs-cTnT and Abbott hs-cTnI assays. ClinicalTrials.gov Identifier: NCT00470587.
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Affiliation(s)
- Jasper Boeddinghaus
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
- the APACE investigators GREAT network
| | - Thomas Nestelberger
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- the APACE investigators GREAT network
| | - Raphael Twerenbold
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- the APACE investigators GREAT network
| | - Luca Koechlin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Cardiac Surgery, University Hospital Basel, University of Basel, Switzerland
| | - Mario Meier
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- the APACE investigators GREAT network
| | - Valentina Troester
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- the APACE investigators GREAT network
| | - Desiree Wussler
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
- the APACE investigators GREAT network
| | - Patrick Badertscher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- the APACE investigators GREAT network
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL
| | - Karin Wildi
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- the APACE investigators GREAT network
| | - Christian Puelacher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- the APACE investigators GREAT network
| | - Jeanne du Fay de Lavallaz
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
- the APACE investigators GREAT network
| | - Maria Rubini Giménez
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- the APACE investigators GREAT network
| | - Tobias Zimmermann
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- the APACE investigators GREAT network
| | - Benjamin Hafner
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- the APACE investigators GREAT network
| | - Eliska Potlukova
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Òscar Miró
- the APACE investigators GREAT network
- Emergency Department, Hospital Clinic, Barcelona, Catalonia, Spain
| | - F Javier Martin-Sanchez
- the APACE investigators GREAT network
- Servicio de Urgencias, Hospital Clínico San Carlos, Madrid, Spain
| | - Dagmar I Keller
- Emergency Department, University Hospital Zurich, Zurich, Switzerland
| | - Tobias Reichlin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Cardiology, Inselspital, University of Bern, Bern, Switzerland
| | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- the APACE investigators GREAT network
| | - Joan Elias Walter
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
- Division of Internal Medicine, University Hospital Basel, University of Basel, both Switzerland
- the APACE investigators GREAT network
| | - Ivo Strebel
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
- the APACE investigators GREAT network
| | - Nikola Kozhuharov
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
- the APACE investigators GREAT network
| | - Michael Freese
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
- the APACE investigators GREAT network
| | - Carolina Fuenzalida
- the APACE investigators GREAT network
- Emergency Department, Hospital Clinic, Barcelona, Catalonia, Spain
| | - Claudia Stelzig
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
- the APACE investigators GREAT network
| | - Danielle M Gualandro
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
- the APACE investigators GREAT network
| | - Eleni Michou
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
- the APACE investigators GREAT network
| | - Kathrin Meissner
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
- the APACE investigators GREAT network
| | - Caroline Kulangara
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
- the APACE investigators GREAT network
| | - Samyut Shrestha
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
- the APACE investigators GREAT network
| | - Gregor Fahrni
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
| | - Stefan Osswald
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
| | - Beatriz López
- the APACE investigators GREAT network
- Emergency Department, Hospital Clinic, Barcelona, Catalonia, Spain
| | | | - Eva Ganovská
- the APACE investigators GREAT network
- Department of Cardiology, University Hospital Brno, Brno, Czech Republic and Medical Faculty, Masaryk University, Brno, Czech Republic
| | - Jens Lohrmann
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
| | - Wanda Kloos
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
| | - Jana Steude
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel
| | - Andreas Buser
- Blood Transfusion Centre, Swiss Red Cross, Basel, Switzerland and Department of Hematology, University Hospital Basel, University of Basel, Switzerland
| | | | - Beata Morawiec
- the APACE investigators GREAT network
- 2nd Department of Cardiology, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Katowice, Poland
| | - Damian Kawecki
- the APACE investigators GREAT network
- 2nd Department of Cardiology, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Katowice, Poland
| | - Ewa Nowalany-Kozielska
- 2nd Department of Cardiology, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Katowice, Poland
| | - Piotr Muzyk
- the APACE investigators GREAT network
- 2nd Department of Cardiology, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Katowice, Poland
| | - Nicolas Geigy
- Emergency Department, Kantonsspital Liestal, Switzerland
| | - Katharina Rentsch
- Department of Laboratory Medicine, University Hospital Basel, University of Basel, Switzerland
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Tjora HL, Steiro OT, Langørgen J, Bjørneklett R, Nygård OK, Renstrøm R, Skadberg Ø, Bonarjee VVS, Lindahl B, Collinson P, Omland T, Vikenes K, Aakre KM. Aiming toWards Evidence baSed inTerpretation of Cardiac biOmarkers in patients pResenting with chest pain-the WESTCOR study: study design. SCAND CARDIOVASC J 2019; 53:280-285. [DOI: 10.1080/14017431.2019.1634280] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Hilde L. Tjora
- Emergency Care Clinic, Haukeland University Hospital, Bergen, Norway
| | - Ole-Thomas Steiro
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| | - Jørund Langørgen
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| | - Rune Bjørneklett
- Emergency Care Clinic, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Ottar K. Nygård
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Renate Renstrøm
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | - Øyvind Skadberg
- Laboratory of Medical Biochemistry, Stavanger University Hospital, Stavanger, Norway
| | | | - Bertil Lindahl
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Paul Collinson
- Departments of Clinical Blood Sciences and Cardiology, St Georges University Hospitals NHS Foundation Trust and St George’s University of London, London, UK
| | - Torbjørn Omland
- Division of Medicine, Akershus University Hospital, Oslo, Norway
- Center for Heart Failure Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kjell Vikenes
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Kristin M. Aakre
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
- Hormone Laboratory, Haukeland University Hospital, Bergen, Norway
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Cai Y, Li Y. Upregulation of miR-29b-3p protects cardiomyocytes from hypoxia-induced apoptosis by targeting TRAF5. Cell Mol Biol Lett 2019; 24:27. [PMID: 31011336 PMCID: PMC6460541 DOI: 10.1186/s11658-019-0151-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2018] [Accepted: 03/29/2019] [Indexed: 12/18/2022] Open
Abstract
Background MicroRNAs (miRNAs) are pivotal regulators in regulating hypoxia-induced cardiomyocyte injury. This study was designed to evaluate the effects of miR-29b-3p on hypoxic cardiomyocytes. Methods Human AC16 cells were cultured under normoxic or hypoxic conditions. Hypoxic injury was confirmed based on alterations in cell viability using CCK-8 assay and apoptosis using flow cytometry and Hoechst staining. Bioinformatics analyses and the dual-luciferase reporter assay were performed to predict and validate the target gene of miR-29b-3p. Results We found that hypoxia suppressed cell viability and promoted apoptosis. TNF receptor-associated factor 5 (TRAF5) was a potential target gene of miR-29b-3p. Our in vitro experiments revealed that miR-29b-3p overexpression or TRAF6 knockdown significantly protected cardiomyocytes against hypoxia-induced injury. Moreover, knockdown of TRAF5 knockdown potentiated the protective effects of miR-29b-3p against hypoxia-induced cell injury. Conclusion These findings suggest that upregulation of miR-29b-3p could protect cardiomyocytes against hypoxia-induced injury through downregulation of TRAF5. Targeting TRAF5 with miR-29b-3p might be a potential therapeutic method for AMI.
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Affiliation(s)
- Yuhua Cai
- Department of Cardiovasology, Jingzhou First Municipal Hospital, Jingzhou, Hubei Province China
| | - Yunpeng Li
- 2Department of Cardiovasology, Dongfeng Hospital, Hubei University of Medicine, No. 16 Daling Road, Shiyan, 442008 Hubei Province China
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Bang C, Hansen C, Lauridsen KG, Frederiksen CA, Schmidt M, Jensen T, Hornung N, Løfgren B. Rapid use of high-sensitive cardiac troponin I for ruling-in and ruling-out of acute myocardial infarction (RACING-MI): study protocol. Open Heart 2019; 6:e000995. [PMID: 31168384 PMCID: PMC6519406 DOI: 10.1136/openhrt-2018-000995] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Revised: 02/18/2019] [Accepted: 03/04/2019] [Indexed: 12/27/2022] Open
Abstract
Introduction The European Society of Cardiology has suggested an accelerated algorithm for ruling-in and ruling-out myocardial infarction (MI) with high-sensitive cardiac troponin (hs-cTn) measured at admission (0 hour) and after 1 hour (1 hour) as an alternative to standard measurements at 0 hour and 3 hours. However, the 0 hour/1 hour algorithm has only been tested in a limited amount of patient cohorts and not for all hs-cTn assays. Moreover, it is unknown if MI can be ruled-out faster than 1 hour. In this single-centre, clinical trial, we will investigate whether MI safely can be ruled-in or ruled-out after 30 min and 1 hour. Methods and analysis Patients with chest pain suggestive of MI admitted to the emergency department will be subjected to hs-cTn measurements at the following time points: 0 hour, 30 min, 1 hour and 3 hours. Chest pain characteristics will be recorded. In total, 1000 patients with all four blood samples will be included. The diagnostic algorithms will be derived based on the first 500 patients and validated in the subsequent 500 patients. The primary endpoint is the negative predictive value of the 0 hour/30 min and the 0 hour/1 hour algorithms. Secondary endpoints include positive predictive value, sensitivity and specificity. Results will be compared with the standard 0 hour/3 hour algorithm. Ethics and dissemination Oral and written informed consent will be obtained from all patients. The trial is approved by The Regional Committee on Health Research Ethics and the Danish Data Protection Agency. Data will be disseminated and submitted to peer-reviewed scientific journals and meetings irrespective of study outcome. Trial registration number NCT03634384.
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Affiliation(s)
- Camilla Bang
- Research Center for Emergency Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Internal Medicine, Randers Regional Hospital, Randers, Denmark
| | - Camilla Hansen
- Research Center for Emergency Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Internal Medicine, Randers Regional Hospital, Randers, Denmark
| | - Kasper Glerup Lauridsen
- Research Center for Emergency Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Internal Medicine, Randers Regional Hospital, Randers, Denmark
| | | | - Morten Schmidt
- Department of Cardiology, Regional Hospital West Jutland, Herning, Denmark
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Tage Jensen
- Department of Internal Medicine, Randers Regional Hospital, Randers, Denmark
| | - Nete Hornung
- Department of Biochemistry, Regional Hospital West Jutland, Herning, Denmark
| | - Bo Løfgren
- Research Center for Emergency Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Internal Medicine, Randers Regional Hospital, Randers, Denmark
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44
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Narayanan MA, Garcia S. Role of High-sensitivity Cardiac Troponin in Acute Coronary Syndrome. US CARDIOLOGY REVIEW 2019. [DOI: 10.15420/usc.2018.16.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Chest pain is one of the most common reasons for an emergency room (ER) visit in the US, with almost 6 million ER visits annually. High-sensitivity cardiac troponin (hscTn) assays have the ability to rapidly rule in or rule out acute coronary syndrome with improved sensitivity, and they are increasingly being used. Though hscTn assays have been approved for use in European, Australian, and Canadian guidelines since 2010, the FDA only approved their use in 2017. There is no consensus on how to compare the results from various hscTn assays. A literature review was performed to analyze the advantages and limitations of using hscTn as a standard biomarker to evaluate patients with suspected ACS in the emergency setting.
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Affiliation(s)
- Mahesh Anantha Narayanan
- Division of Cardiovascular Disease, Department of Medicine, University of Minnesota, Minneapolis, MN
| | - Santiago Garcia
- Minneapolis Heart Institute at Abbott Northwestern Hospital, Minneapolis, MN
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45
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Boeddinghaus J, Nestelberger T, Badertscher P, Twerenbold R, Fitze B, Wussler D, Strebel I, Rubini Giménez M, Wildi K, Puelacher C, du Fay de Lavallaz J, Oehen L, Walter J, Miró Ò, Martin-Sanchez FJ, Morawiec B, Potlukova E, Keller DI, Reichlin T, Mueller C, Sabti Z, Freese M, Stelzig C, Shrestha S, Schaerli N, Kozhuharov N, Flores D, Lohrmann J, Biskup E, Kloos W, Osswald S, Mueller D, Sazgary L, López B, Adrada ER, Kawecki D, Muzyk P, Nowalany-Kozielska E, Parenica J, Ganovská E, Meissner K, Kulangara C, Mahfouz R, Hartmann B, Ferel I, Campodarve I, Rentsch K, von Eckardstein A, Buser A, Geigy N. Predicting Acute Myocardial Infarction with a Single Blood Draw. Clin Chem 2019; 65:437-450. [DOI: 10.1373/clinchem.2018.294124] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Accepted: 11/28/2018] [Indexed: 11/06/2022]
Abstract
Abstract
BACKGROUND
We desired to determine cardiac troponin (cTn) concentrations necessary to achieve a positive predictive value (PPV) of ≥75% for acute myocardial infarction (AMI) to justify immediate admission of patients to a monitored unit and, in general, early coronary angiography.
METHODS
In a prospective multicenter diagnostic study enrolling patients presenting to the emergency department with symptoms suggestive of AMI, final diagnoses were adjudicated by 2 independent cardiologists based on clinical information including cardiac imaging. cTn concentrations were measured using 5 different sensitive and high-sensitivity cTn (hs-cTn) assays in a blinded fashion at presentation and serially thereafter. The diagnostic end point was PPV for rule-in of AMI of initial cTn concentrations alone and in combination with early changes.
RESULTS
Among 3828 patients, 616 (16%) had an AMI. At presentation, 7% to 14% of patients had cTnT/I concentrations associated with a PPV of ≥75%. Adding absolute or relative changes did not significantly further increase the PPV. PPVs increased from 46.5% (95% CI, 43.6–49.4) for hs-cTnT at presentation >14 ng/L to 78.9% (95% CI, 74.7–82.5) for >52 ng/L (P < 0.001), whereas PPVs in higher hs-cTnT strata remained largely unchanged [e.g., 82.4% (95% CI, 77.5–86.7) for >80 ng/L vs 83.9% (95% CI, 76.0–90.1) for >200 ng/L (P = 0.72)]. The addition of early changes in hs-cTnT further increased the PPV up to 60 ng/L, but not for higher concentrations.
CONCLUSIONS
Serial sampling does not seem necessary for predicting AMI and concurrent decision-making in about 10% of patients, as it only marginally increases the PPV for AMI and not in a statistically or clinically significant way.
ClinicalTrials.gov Identifier
NCT00470587.
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Affiliation(s)
- Jasper Boeddinghaus
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Thomas Nestelberger
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Patrick Badertscher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Raphael Twerenbold
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
- Department of General and Interventional Cardiology, Hamburg University Heart Center, Hamburg, Germany
| | - Brigitte Fitze
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Desiree Wussler
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Ivo Strebel
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Maria Rubini Giménez
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Karin Wildi
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Christian Puelacher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Jeanne du Fay de Lavallaz
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Loris Oehen
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Joan Walter
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Òscar Miró
- GREAT Network, Rome, Italy
- Emergency Department, Hospital Clinic, Barcelona, Catalonia, Spain
| | | | - Beata Morawiec
- GREAT Network, Rome, Italy
- 2nd Department of Cardiology, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Katowice, Katowice, Poland
| | - Eliska Potlukova
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Dagmar I Keller
- Emergency Department, University Hospital Zurich, Zurich, Switzerland
| | - Tobias Reichlin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Zaid Sabti
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Michael Freese
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Claudia Stelzig
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Samyut Shrestha
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Nicolas Schaerli
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
- Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Nikola Kozhuharov
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Dayana Flores
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Jens Lohrmann
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Ewalina Biskup
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Wanda Kloos
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Stefan Osswald
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Deborah Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Lorraine Sazgary
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Beatriz López
- GREAT Network, Rome, Italy
- Emergency Department, Hospital Clinic, Barcelona, Catalonia, Spain
| | | | - Damian Kawecki
- GREAT Network, Rome, Italy
- 2nd Department of Cardiology, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Katowice, Katowice, Poland
| | - Piotr Muzyk
- GREAT Network, Rome, Italy
- 2nd Department of Cardiology, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Katowice, Katowice, Poland
| | - Ewa Nowalany-Kozielska
- 2nd Department of Cardiology, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Katowice, Katowice, Poland
| | - Jiri Parenica
- GREAT Network, Rome, Italy
- Department of Cardiology, University Hospital Brno, Brno, Czech Republic and Medical Faculty, Masaryk University, Brno, Czech Republic
| | - Eva Ganovská
- GREAT Network, Rome, Italy
- Department of Cardiology, University Hospital Brno, Brno, Czech Republic and Medical Faculty, Masaryk University, Brno, Czech Republic
| | - Kathrin Meissner
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Caroline Kulangara
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Riham Mahfouz
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Beate Hartmann
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Rome, Italy
| | - Ina Ferel
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Isabel Campodarve
- GREAT Network, Rome, Italy
- Emergency Medicine, Hospital del Mar, Barcelona, Spain
| | | | | | - Andreas Buser
- Blood Transfusion Centre, Swiss Red Cross, Basel, Switzerland and Department of Hematology, University Hospital Basel, Basel, Switzerland
| | - Nicolas Geigy
- Emergency Department, Kantonsspital Liestal, Switzerland
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46
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Januzzi JL, Mahler SA, Christenson RH, Rymer J, Newby LK, Body R, Morrow DA, Jaffe AS. Recommendations for Institutions Transitioning to High-Sensitivity Troponin Testing: JACC Scientific Expert Panel. J Am Coll Cardiol 2019; 73:1059-1077. [PMID: 30798981 DOI: 10.1016/j.jacc.2018.12.046] [Citation(s) in RCA: 98] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 12/05/2018] [Accepted: 12/06/2018] [Indexed: 02/07/2023]
Abstract
High-sensitivity cardiac troponin (hs-cTn) I or T methods have been in use in certain regions for years but are now increasingly globally adopted, including in the United States. Accordingly, inevitable challenges are created for institutions transitioning from conventional cardiac troponin (cTn) assays. hs-cTn assays have higher analytic precision at lower concentrations, yielding greater clinical sensitivity for myocardial injury and allowing accurate recognition of small changes in troponin concentration (rise or fall) within a short time frame. Although much of the knowledge regarding troponin biology that was applicable with older troponin assays still holds true, considerable education regarding the differences between conventional cTn and hs-cTn is needed before medical systems convert to the newer methods. This includes a basic understanding of how hs-cTn testing differs from conventional cTn testing and how it is best deployed in different settings, such as the emergency department and inpatient services. This Expert Panel will review important concepts for institutional transition to hs-cTn methodology, providing recommendations useful for education before implementation.
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Affiliation(s)
- James L Januzzi
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Baim Institute for Clinical Research, Boston, Massachusetts.
| | - Simon A Mahler
- Departments of Emergency Medicine, Implementation Science, and Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Robert H Christenson
- Core Laboratories and Point of Care Services, University of Maryland School of Medicine, Baltimore, Maryland
| | - Jennifer Rymer
- Division of Cardiology, Department of Medicine and Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - L Kristin Newby
- Division of Cardiology, Department of Medicine and Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Richard Body
- Division of Cardiovascular Sciences, The University of Manchester, Emergency Department, Manchester Royal Infirmary, School of Healthcare Science, Manchester Metropolitan University, Manchester, United Kingdom
| | - David A Morrow
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Allan S Jaffe
- Cardiology Department and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
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Affiliation(s)
- Edward W Randell
- Discipline of Laboratory Medicine, Memorial University; Eastern Health Authority, St. John’s, NL, Canada
- Faculty of Medicine, Memorial University; Eastern Health Authority, St. John’s, NL, Canada
| | - Sedef Yenice
- Department of Core Laboratory Medicine, Gayrettepe Florence Nightingale Hospital, Istanbul, Turkey
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Hof D, von Eckardstein A. High-Sensitivity Troponin Assays in Clinical Diagnostics of Acute Coronary Syndrome. Methods Mol Biol 2019; 1929:645-662. [PMID: 30710302 DOI: 10.1007/978-1-4939-9030-6_40] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Nowadays, measurement of cardiac troponins (cTn) in patient plasma is central for diagnosis of patients with acute coronary syndrome (ACS). High-sensitivity (hs) immunoassays have been developed that can very precisely record slightly elevated and rising plasma concentrations of cTn very early after onset of clinical symptoms. Algorithms integrate measurements of hs-cTn at onset of clinical symptoms of acute myocardial infarction (AMI), and 1 or 3 h after onset, to rule-in and rule-out AMI patients. More and more point-of-care (POC) cTn assays conquer the diagnostic market, but thorough clinical validation studies are required before potential implementation of such POC tests into hospital settings. This review provides an overview of the technical aspects, as well as diagnostic and prognostic use of cardiac troponins in AMI patients and in the healthy population.
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Perioperative myocardial infarction diagnosis after coronary artery bypass grafting surgery using coupled electrocardiographic changes and cardiac troponin I. Indian J Thorac Cardiovasc Surg 2019; 35:25-30. [PMID: 33060965 DOI: 10.1007/s12055-018-0713-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 06/02/2018] [Accepted: 07/16/2018] [Indexed: 10/28/2022] Open
Abstract
Purpose Perioperative myocardial infarction (PMI) is one of the most common causes of prolonged intensive care unit (ICU) and hospital stay after coronary artery bypass grafting (CABG) and is associated with poor prognosis and increases postoperative mortality due to the lack of accurate diagnostic methods. This study examines the association between electrocardiography (ECG) ischemic changes and cardiac troponin I concentration. Methods In this cross-sectional study, the ECG of 100 patients was recorded before and 24 h after the surgery. The cardiac troponin I concentration was measured 24 h after the termination of the surgery. Results The average concentration of troponin I was 6.79 μg/L in the no-ECG-changes group, 11.69 μg/L in the ST depression group, 11.26 μg/L in the ST elevation group, and 27.54 μg/L in the new Q wave group. The mean troponin concentration was significantly higher in the ECG-changes group compared to no-ECG-changes group. Comparing the ECG-changes together showed significant differences between the new Q wave and the other changes. ST elevation and ST depression were not statistically significant. Conclusion The three ECG-changes groups had a higher risk of PMI after their CABG. The risk of PMI was at its highest value in the new Q wave group and at its lowest in the no-ECG-changes group.
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Combined Use of High-Sensitive Cardiac Troponin, Copeptin, and the Modified HEART Score for Rapid Evaluation of Chest Pain Patients. DISEASE MARKERS 2018; 2018:9136971. [PMID: 30538785 PMCID: PMC6260526 DOI: 10.1155/2018/9136971] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 10/04/2018] [Accepted: 10/15/2018] [Indexed: 12/27/2022]
Abstract
Background Clinical short-term risk stratification is a recommended approach in patients with chest pain and possible acute myocardial infarction (AMI) to further improve high safety of biomarker-based rule-out algorithms. The study aim was to assess clinical performance of baseline concentrations of high-sensitivity cardiac troponin T (hs-TnT) and copeptin and the modified HEART score (mHS) in early presenters to the emergency department with chest pain. Methods This cohort study included patients with chest pain with onset maximum of 6 h before admission and no persistent ST-segment elevation on electrocardiogram. hs-TnT, copeptin, and the mHS were assessed from admission data. The diagnostic and prognostic value for three baseline rule-out algorithms: (1) single hs-TnT < 14 ng/l, (2) hs-TnT < 14 ng/l/mHS ≤ 3, and (3) hs-TnT < 14 ng/l/mHS ≤ 3/copeptin < 17.4 pmol/l, was assessed with sensitivity and negative predictive value. Primary diagnostic endpoint was the diagnosis of AMI. Prognostic endpoint was death and/or AMI within 30 days. Results Among 154 enrolled patients, 44 (29%) were classified as low-risk according to the mHS; AMI was diagnosed in 105 patients (68%). For ruling out AMI, the highest sensitivity and NPV from all studied algorithms were observed for hs-TnT/mHS/copeptin (100%, 95% CI 96.6–100, and 100%, 95% CI 75.3–100). At 30 days, the highest event-free survival was achieved in patients stratified with hs-TnT/mHS/copeptin algorithm (100%) with 100% (95% CI 75.3–100) NPV and 100% (95% CI 96.6–100) sensitivity. Conclusions The combination of baseline hs-TnT, copeptin, and the mHS has an excellent sensitivity and NPV for short-term risk stratification. Such approach might improve the triage system in emergency departments and be a bridge for inclusion to serial blood sampling algorithms.
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