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Nseir M, Mokhtari A, Stanisic M, Ekström U, Labaf A. Validation and correlation of high-sensitive troponin I and troponin T in the emergency department. BMC Cardiovasc Disord 2024; 24:551. [PMID: 39395935 PMCID: PMC11470706 DOI: 10.1186/s12872-024-04230-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2024] [Accepted: 10/01/2024] [Indexed: 10/14/2024] Open
Abstract
BACKGROUND Troponin elevation is frequently observed in various scenarios in the Emergency Department (ED), yet there is a paucity of studies investigating simultaneously measured high-sensitivity cardiac troponin T (hs-cTnT) and troponin I (hs-cTnI) within a diverse cohort in a clinical setting. METHODS All patients who underwent troponin testing at a single center were eligible for this study. Only patients with simultaneous samples with hs-cTnI (Siemens) and hs-cTnT (Roche) were included, regardless of chief complaint. RESULTS Analysis of 1987 samples from 1134 patients showed a significant correlation between hs-cTnT and hs-cTnI (r = 0.86, p < 0.01). Of these samples, 65% exceeded the upper reference limit (URL) for hs-cTnT, and 30% for hs-cTnI with 39% who exhibited elevated hs-cTnT levels alongside normal hs-cTnI levels. The area under the curve (AUC) for acute myocardial infarction (AMI) for the index visit was 0.80 (95% CI; 0.75-0.85) for hs-cTnT and 0.87 (95% CI; 0.83-0.91) for hs-cTnI. Sensitivity and specificity were 91% and 39% for hs-cTnT, and 80% and 80% for hs-cTnI. Positive predictive value (PPV) and negative predictive value (NPV) was 9.3% and 98.5% for hs-cTnT respectively, corresponding for hs-cTnI was 21.3% and 98.3% respectively. Hazard ratios for 1-year mortality were 1.52 (95% CI; 1.40-1.66) for hs-cTnT and 1.26 (95% CI; 1.18-1.34) for hs-cTnI. CONCLUSION Elevated troponins above the URL were very common in this diverse cohort, particularly for hs-cTnT, which was twice as frequent compared to hs-cTnI, resulting in low specificity and PPV for AMI.
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Affiliation(s)
- Moustafa Nseir
- Department of Internal and Emergency Medicine, Trelleborg Hospital, Trelleborg, Sweden
| | - Arash Mokhtari
- Department of Cardiology, Lund University, Skåne University Hospital, Entrégatan 7, Lund, 221 85, Sweden
- Lund University, Department of Clinical Sciences, Lund, Sweden
| | - Mia Stanisic
- Department of Internal and Emergency Medicine, Trelleborg Hospital, Trelleborg, Sweden
| | - Ulf Ekström
- Department of Clinical Chemistry, Lund University, Skåne University Hospital, Lund, Sweden
| | - Ashkan Labaf
- Department of Cardiology, Lund University, Skåne University Hospital, Entrégatan 7, Lund, 221 85, Sweden.
- Lund University, Department of Clinical Sciences, Lund, Sweden.
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Hasselbalch RB, Schytz PA, Schultz M, Sindet-Pedersen C, Kristensen JH, Strandkjær N, Knudsen SS, Pries-Heje M, Pareek M, Kragholm KH, Carlson N, Schou M, Andersen MP, Bundgaard H, Torp-Pedersen C, Iversen KK. Implications of Age for the Diagnostic and Prognostic Value of Cardiac Troponin T and I. Clin Chem 2024; 70:1231-1240. [PMID: 39119905 DOI: 10.1093/clinchem/hvae107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 06/24/2024] [Indexed: 08/10/2024]
Abstract
BACKGROUND The influence of age on cardiac troponin is unclear and may vary between cardiac troponin T (cTnT) and I (cTnI). We aimed to compare the impact of age on the diagnostic and prognostic utility of cTnT and cTnI. METHODS This Danish nationwide, register-based cohort study included patients with at least one cardiac troponin (cTn) measurement from 2009 through June 2022, stratified into decades of age. We used peak cTn concentration during admission, dichotomized as positive/negative and normalized to the 99th percentile. Receiver operating characteristics for myocardial infarction (MI) and logistic regression were used to estimate the odds ratio (OR) for mortality at 1 year. RESULTS We included 541 817 patients; median age 66 years (interquartile range [IQR] 51-77) and 256 545 (47%) female. A total of 40 359 (7.4%) had an MI, and 59 800 (14.1%) patients died within 1 year of admission. The predictive ability of both cTns for MI were highest for patients 30 to 50 years. This was most pronounced for cTnT, the specificity of which fell from 83% among patients 40 to 49 years to 4% for patients ≥90 years. The prognostic ability of both cTns for 1-year mortality declined with age. cTnT had stronger prognostic ability for all age-groups; OR for a positive cTnT 28.4 (95% CI, 20.1-41.0) compared with 9.4 (95% CI, 5.0-16.7) for cTnI among patients <30 years. CONCLUSIONS The predictive and prognostic ability of cTnT and cTnI declined with age. cTnT had a low specificity for MI in elderly patients. However, cTnT was the strongest prognostic marker among all age groups.
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Affiliation(s)
- Rasmus Bo Hasselbalch
- Department of Cardiology, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
- Department of Emergency Medicine, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
| | - Philip Andreas Schytz
- Department of Cardiology, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
| | - Martin Schultz
- Department of Cardiology, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
- Department of Emergency Medicine, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
| | - Caroline Sindet-Pedersen
- Department of Cardiology, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
| | - Jonas Henrik Kristensen
- Department of Cardiology, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
- Department of Emergency Medicine, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
| | - Nina Strandkjær
- Department of Cardiology, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
- Department of Emergency Medicine, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
| | - Sophie Sander Knudsen
- Department of Cardiology, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
- Department of Emergency Medicine, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
| | - Mia Pries-Heje
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Manan Pareek
- Department of Cardiology, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
| | | | - Nicholas Carlson
- Department of Nephrology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Morten Schou
- Department of Emergency Medicine, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Mikkel Porsborg Andersen
- Department of Cardiology, Copenhagen University Hospital-Nordsjaellands Hospital, Hilleroed, Denmark
| | - Henning Bundgaard
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Christian Torp-Pedersen
- Department of Cardiology, Copenhagen University Hospital-Nordsjaellands Hospital, Hilleroed, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Kasper Karmark Iversen
- Department of Cardiology, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
- Department of Emergency Medicine, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Internal Medicine, Copenhagen University Hospital-Herlev-Gentofte Hospital, Copenhagen, Denmark
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3
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Li Z, Boeddinghaus J, Mills NL. Cardiac Troponin I or T for the Diagnosis of Myocardial Infarction and Prediction of Outcomes-Does It Matter? Clin Chem 2024; 70:1197-1199. [PMID: 39185732 DOI: 10.1093/clinchem/hvae123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Accepted: 08/05/2024] [Indexed: 08/27/2024]
Affiliation(s)
- Ziwen Li
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Jasper Boeddinghaus
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Nicholas L Mills
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
- Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
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Yildirim M, Salbach C, Reich C, Pribe-Wolferts R, Milles BR, Täger T, Mueller-Hennessen M, Weiler M, Meder B, Frey N, Giannitsis E. Improved diagnostic performance of high-sensitivity cardiac troponins in muscle dystrophies using comprehensive definition criteria for cardiac involvement: A longitudinal study on 35 patients. Eur J Neurol 2024:e16498. [PMID: 39345028 DOI: 10.1111/ene.16498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 09/11/2024] [Accepted: 09/13/2024] [Indexed: 10/01/2024]
Abstract
BACKGROUND AND PURPOSE Sparse information is available on the correct interpretation of elevated high-sensitivity cardiac troponin (hs-cTn) in confirmed muscular dystrophies. METHODS Serum concentrations of hs-cTn T (hs-cTnT) and hs-cTn I (hs-cTnI) were determined in 35 stable outpatients with confirmed skeletal muscle dystrophies. We calculated sensitivities, specificities, and positive and negative predictive values of hs-cTnT and hs-cTnI for identification of cardiac involvement using a comprehensive definition that included diastolic left ventricular and right ventricular function, strain analysis using two-dimensional transthoracic echocardiogram and magnetic resonance imaging, myocardial biopsies, and consideration of a variety of triggers for cardiac injury, including arrhythmias, conduction disorders, and hypoxemia due to respiratory failure. RESULTS Cardiac involvement was diagnosed in 34 of 35 cases. Specificities of hs-cTnT increased from 12.5% to 100% (p = 0.0006) applying the comprehensive definition compared to a definition based on electrocardiography and echocardiography alone. At the recommended 99th percentile upper limit of normal, sensitivities were significantly lower for hs-cTnI than for hs-cTnT (29.4% vs. 100%, p = 0.0164). Conversely, the specificities of hs-cTnT and hs-cTnI increased to 100% when using the comprehensive definition criteria for diagnosing cardiac involvement. CONCLUSIONS Elevated hs-cTnT but not hs-cTnI discriminates cardiac involvement in cases with confirmed skeletal muscle dystrophies with very high sensitivity and 100% specificity. Prior reports on worse performance may be explained by the use of less sensitive imaging methods or incomplete assessment of cardiac involvement.
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Affiliation(s)
- Mustafa Yildirim
- Department of Internal Medicine III, Cardiology, University Hospital of Heidelberg, Heidelberg, Germany
| | - Christian Salbach
- Department of Internal Medicine III, Cardiology, University Hospital of Heidelberg, Heidelberg, Germany
| | - Christoph Reich
- Department of Internal Medicine III, Cardiology, University Hospital of Heidelberg, Heidelberg, Germany
- Institute for Cardiomyopathies and Center for Cardiogenetics, Department of Medicine III, University of Heidelberg, Heidelberg, Germany
| | - Regina Pribe-Wolferts
- Department of Internal Medicine III, Cardiology, University Hospital of Heidelberg, Heidelberg, Germany
| | - Barbara Ruth Milles
- Department of Internal Medicine III, Cardiology, University Hospital of Heidelberg, Heidelberg, Germany
| | - Tobias Täger
- Department of Internal Medicine III, Cardiology, University Hospital of Heidelberg, Heidelberg, Germany
| | | | - Markus Weiler
- Department of Neurology, University Hospital of Heidelberg, Heidelberg, Germany
| | - Benjamin Meder
- Department of Internal Medicine III, Cardiology, University Hospital of Heidelberg, Heidelberg, Germany
- Institute for Cardiomyopathies and Center for Cardiogenetics, Department of Medicine III, University of Heidelberg, Heidelberg, Germany
- German Center for Cardiovascular Research, Standort Heidelberg/Mannheim, Heidelberg, Germany
- Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, California, USA
| | - Norbert Frey
- Department of Internal Medicine III, Cardiology, University Hospital of Heidelberg, Heidelberg, Germany
- German Center for Cardiovascular Research, Standort Heidelberg/Mannheim, Heidelberg, Germany
| | - Evangelos Giannitsis
- Department of Internal Medicine III, Cardiology, University Hospital of Heidelberg, Heidelberg, Germany
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deFilippi C, McCallum S, Zanni MV, Fitch KV, Diggs MR, Bloomfield GS, Fichtenbaum CJ, Aberg JA, Malvestutto CD, Pinto-Martinez A, Stapleton A, Duggan J, Robbins GK, Taron J, Karady J, Foldyna B, Lu MT, Ribaudo HJ, Douglas PS, Grinspoon SK. Association of Cardiac Troponin T With Coronary Atherosclerosis in Asymptomatic Primary Prevention People With HIV. JACC. ADVANCES 2024; 3:101206. [PMID: 39253712 PMCID: PMC11381782 DOI: 10.1016/j.jacadv.2024.101206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 06/07/2024] [Accepted: 06/17/2024] [Indexed: 09/11/2024]
Abstract
Background Coronary plaque is common among people with HIV (PWH) with low-to-moderate traditional atherosclerotic cardiovascular disease (ASCVD) risk. Objectives The purpose of this study was to determine the association of high-sensitivity cardiac troponin T (hs-cTnT) levels with coronary plaque characteristics and evaluate if hs-cTnT improves identification of these features beyond traditional ASCVD risk factors among PWH. Methods Among PWH receiving stable antiretroviral therapy with low-to-moderate ASCVD risk and no known history of ASCVD, hs-cTnT levels and measures of plaque by coronary computed tomography angiography were assessed. Primary outcomes included the association of hs-cTnT level with the presence of any plaque, vulnerable plaque, coronary artery calcium (CAC) score, and Leaman score. Assessment of model discrimination of hs-cTnT for plaque characteristics was also performed. Results The cohort included 708 U.S. participants with a mean age of 51 ± 6 years, 119 (17%) females, a median ASCVD risk score of 4.4% (Q1-Q3: 2.5%-6.6%), and a median hs-cTnT level of 6.7 ng/L (detectable level ≥6 ng/L in 61%). Any plaque was present in 341 (48%), vulnerable plaque in 155 (22%), CAC>100 in 68 (10%), and a Leaman score >5 in 105 (15%). After adjustment for ASCVD risk score, participants with hs-cTnT >9.6 ng/L (highest category) versus an undetectable level (<6 ng/L) had a greater relative risk for any plaque (1.37, 95% CI: 1.12-1.67), vulnerable plaque (1.47, 95% CI: 1.16-1.87), CAC>100 (2.58, 95% CI: 1.37-4.83), and Leaman score >5 (2.13, 95% CI: 1.32-3.46). The addition of hs-cTnT level modestly improved the discrimination of ASCVD risk score to identify critical plaque features. Conclusions In PWH without known ASCVD, hs-cTnT levels were strongly associated with and improved prediction of subclinical coronary plaque. (Evaluating the Use of Pitavastatin to Reduce the Risk of Cardiovascular Disease in HIV-Infected Adults [REPRIEVE]; NCT02344290).
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Affiliation(s)
| | - Sara McCallum
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Markella V Zanni
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Kathleen V Fitch
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Marissa R Diggs
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Gerald S Bloomfield
- Department of Medicine, Duke Global Health Institute and Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
| | - Carl J Fichtenbaum
- Division of Infectious Diseases, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Judith A Aberg
- Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Carlos D Malvestutto
- Division of Infectious Diseases, Ohio State University Medical Center, Columbus, Ohio, USA
| | | | - Ann Stapleton
- Eisenhower Health Center at Rimrock, Eisenhower Health, Rancho Mirage, California, USA
| | - Joan Duggan
- Division of Infectious Diseases, University of Toledo, Toledo, Ohio, USA
| | - Gregory K Robbins
- Division of Infectious Diseases, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Jana Taron
- Department of Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
- Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Julia Karady
- Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Borek Foldyna
- Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Michael T Lu
- Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Heather J Ribaudo
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Pamela S Douglas
- Duke University Research Institute, Duke University School of Medicine, Durham, North Carolina, USA
| | - Steven K Grinspoon
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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6
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Grittani A, Ramos S, Gomez C, Varela CA, Puri N, Zarry S, Suarez JH. Evaluating the Rates of Mortality and Cardiac Catheterization Using High-Sensitivity Troponin and Conventional Troponin Assays. Cureus 2024; 16:e63538. [PMID: 39086787 PMCID: PMC11289078 DOI: 10.7759/cureus.63538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2024] [Indexed: 08/02/2024] Open
Abstract
Non-ST segment elevation myocardial infarction (NSTEMI) is an acute coronary syndrome event where myocardial ischemia is present, with an increase of cardiac troponins without an elevation of the ST segment. One of the fundamental measures used to diagnose or rule out acute coronary syndrome (ACS) is troponin levels in the blood. Troponin is a broad term used for the category of muscle contraction regulatory proteins and is commonly measured during ACS evaluation. Troponin I is only released by cardiac tissue, while some assay measurements will also pick up troponin released by skeletal muscle injury. This retrospective observational study was performed investigating troponin assays and how they relate to patient's outcomes. The troponin assays used in this Miami hospital where the database of patients was collected between 2018 and 2023 were troponin I (cTnI), the conventional troponin assay, and the newer high-sensitivity troponin I assay (hs-cTn). In this observational study patients who received an admitting diagnosis of NSTEMI corroborated by an independent cardiologist had their respective troponin assay levels included. Patients found to have ECG changes significant for non-ischemic pathologies, or echocardiogram findings suggestive of myocardial dysfunction not clinically correlated to an ACS were excluded from the study. A total of 75 patients were included in this study and the mean age was 75.97 ±14.72 years, with a presentation of chest pain, dyspnea and general weakness recorded in 59% (n = 45) of patients. The median time between troponin samples was 6.63 hours across both assays and hs-cTn showed a 4.99% increase in variation between samples while cTnI had a decrease of 2.53%. The study objective is to support whether there is a difference in rates of cardiac catheterization or mortality based on the type of troponin testing. There was no significant association found between, the type of troponin assay used during hospital admission, and the outcomes of catheterization and death (p > 0.009).
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Affiliation(s)
| | - Saul Ramos
- Internal Medicine, University of Medicine and Health Sciences, Saint Kitts, KNA
| | | | | | - Nikhil Puri
- School of Medicine, St. George's University, St. George, GRD
| | - Samantha Zarry
- Health Sciences, The University of Western Ontario, Toronto, CAN
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Steiro OT, Langørgen J, Tjora HL, Bjørneklett RO, Skadberg Ø, Bonarjee VVS, Mjelva ØR, Steinsvik T, Lindahl B, Omland T, Aakre KM, Vikenes K. Prognostic significance of chronic myocardial injury diagnosed by three different cardiac troponin assays in patients admitted with suspected acute coronary syndrome. Clin Chem Lab Med 2024; 62:729-739. [PMID: 37937808 DOI: 10.1515/cclm-2023-0336] [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: 04/02/2023] [Accepted: 10/17/2023] [Indexed: 11/09/2023]
Abstract
OBJECTIVES Chronic myocardial injury (CMI) is defined as stable concentrations of cardiac troponin T or I (cTnT or cTnI) above the assay-specific 99th percentile upper reference limit (URL) and signals poor outcome. The clinical implications of diagnosing CMI are unclear. We aimed to assess prevalence and association of CMI with long-term prognosis using three different high-sensitivity cTn (hs-cTn) assays. METHODS A total of 1,292 hospitalized patients without acute myocardial injury had cTn concentrations quantified by hs-cTn assays by Roche Diagnostics, Abbott Diagnostics and Siemens Healthineers. The median follow-up time was 4.1 years. The prevalence of CMI and hazard ratios for mortality and cardiovascular (CV) events were calculated based on the URL provided by the manufacturers and compared to the prognostic accuracy when lower percentiles of cTn (97.5, 95 or 90), limit of detection or the estimated bioequivalent concentrations between assays were used as cutoff values. RESULTS There was no major difference in prognostic accuracy between cTnT and cTnI analyzed as continuous variables. The correlation between cTnT and cTnI was high (r=0.724-0.785), but the cTnT assay diagnosed 3.9-4.5 times more patients with having CMI based on the sex-specific URLs (TnT, n=207; TnI Abbott, n=46, TnI Siemens, n=53) and had higher clinical sensitivity and AUC at the URL. CONCLUSIONS The prevalence of CMI is highly assay-dependent. cTnT and cTnI have similar prognostic accuracy for mortality or CV events when measured as continuous variables. However, a CMI diagnosis according to cTnT has higher prognostic accuracy compared to a CMI diagnosis according to cTnI.
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Affiliation(s)
- Ole-Thomas Steiro
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| | - Jørund Langørgen
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| | - Hilde L Tjora
- Emergency Care Clinic, Haukeland University Hospital, Bergen, Norway
| | - Rune O Bjørneklett
- Emergency Care Clinic, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Øyvind Skadberg
- Laboratory of Medical Biochemistry, Stavanger University Hospital, Stavanger, Norway
| | | | - Øistein R Mjelva
- Department of Internal Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Trude Steinsvik
- Department of Laboratory Medicine, Vestre Viken Hospital Trust, Bærum, Norway
| | - Bertil Lindahl
- Department of Medical Sciences, Uppsala University Hospital, Uppsala, Sweden
- Uppsala Clinical Research Center, Uppsala, Sweden
| | - Torbjørn Omland
- Center for Heart Failure Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Cardiology, Akershus University Hospital, Oslo, Norway
| | - Kristin M Aakre
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | - Kjell Vikenes
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
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8
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Rubini Gimenez M, Bergami M. Comment on: Diagnostic and prognostic value of the sex-specific 99th percentile of four high-sensitivity cardiac troponin assays in patients with suspected myocardial infarction. EUROPEAN HEART JOURNAL. ACUTE CARDIOVASCULAR CARE 2024; 13:13-14. [PMID: 38048386 DOI: 10.1093/ehjacc/zuad147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 12/01/2023] [Indexed: 12/06/2023]
Affiliation(s)
- Maria Rubini Gimenez
- Department of Cardiology, University Heart Center Leipzig, Strümpellstr. 39, 04289 Leipzig, Germany
- Department of Cardiology, Imed Hospitales, Av. de la Ilustración, 1, 46100 Burjassot, Valencia, Spain
| | - Maria Bergami
- Laboratory of Epidemiological and Clinical Cardiology, Department of Medical and Surgical Sciences (DIMEC), Università di Bologna, Bologna, Italy
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9
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Mecinaj A, Gulati G, Ree AH, Gravdehaug B, Røsjø H, Steine K, Wisløff T, Geisler J, Omland T, Heck SL. Impact of the ESC Cardio-Oncology Guidelines Biomarker Criteria on Incidence of Cancer Therapy-Related Cardiac Dysfunction. JACC CardioOncol 2024; 6:83-95. [PMID: 38510299 PMCID: PMC10950440 DOI: 10.1016/j.jaccao.2023.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 10/12/2023] [Accepted: 10/31/2023] [Indexed: 03/22/2024] Open
Abstract
Background The impact of recent consensus definitions of cancer therapy-related cardiac dysfunction (CTRCD) from the European Society of Cardiology cardio-oncology guidelines on the reported incidence of CTRCD has not yet been assessed. Objectives The aim of this study was to assess the: 1) cumulative incidence; 2) point prevalence during and after adjuvant therapy; and 3) prognostic value of CTRCD as defined by different asymptomatic CTRCD guideline criteria. Methods The cumulative incidence and point prevalence of CTRCD were retrospectively assessed in 118 patients participating in the PRADA (Prevention of Cardiac Dysfunction During Adjuvant Breast Cancer Therapy) trial. Asymptomatic CTRCD was assessed using alternative cardiac troponin (cTn) 99th percentile upper reference limits (URLs) to define cTnT and cTnI elevation. Results The cumulative incidence of moderate or severe CTRCD was low (1.7%), whereas the cumulative incidence of mild asymptomatic CTRCD was higher and differed markedly according to the biomarker criteria applied, ranging from 49.2% of patients when cTnT greater than the sex-specific 99th percentile URL was used to define cTn elevation to 9.3% when sex-neutral cTnI was used. The point prevalence of CTRCD was highest at the end of anthracycline therapy (47.8%) and was driven primarily by asymptomatic cTn elevation. CTRCD during adjuvant therapy was not prognostic for CTRCD at extended follow-up of 24 months (Q1-Q3: 21-29 months) after randomization. Conclusions Mild asymptomatic CTRCD during adjuvant breast cancer therapy was frequent and driven mainly by cTn elevation and was not prognostic of subsequent CTRCD. The incidence of mild, asymptomatic CTRCD differed markedly depending on the cTn assay and whether sex-neutral or sex-dependent URLs were applied. (Prevention of Cardiac Dysfunction During Adjuvant Breast Cancer Therapy [PRADA]; NCT01434134).
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Affiliation(s)
- Albulena Mecinaj
- K.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Cardiology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Geeta Gulati
- K.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Cardiology, Division of Medicine, Oslo University Hospital, Ullevål, Oslo, Norway
- Division of Research and Innovation, Akershus University Hospital, Lørenskog, Norway
| | - Anne Hansen Ree
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Oncology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Berit Gravdehaug
- Department of Breast and Endocrine Surgery, Division of Surgery, Akershus University Hospital, Lørenskog, Norway
| | - Helge Røsjø
- K.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Division of Research and Innovation, Akershus University Hospital, Lørenskog, Norway
| | - Kjetil Steine
- Department of Cardiology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Torbjørn Wisløff
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Health Service Research Unit, Akershus University Hospital, Lørenskog, Norway
| | - Jürgen Geisler
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Oncology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Torbjørn Omland
- K.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Cardiology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Siri Lagethon Heck
- K.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Diagnostic Imaging, Akershus University Hospital, Lørenskog, Norway
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10
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Yufera-Sanchez A, Lopez-Ayala P, Nestelberger T, Wildi K, Boeddinghaus J, Koechlin L, Rubini Gimenez M, Sakiz H, Bima P, Miro O, Martín-Sánchez FJ, Christ M, Keller DI, Gualandro DM, Kawecki D, Rentsch K, Buser A, Mueller C. Combining glucose and high-sensitivity cardiac troponin in the early diagnosis of acute myocardial infarction. Sci Rep 2023; 13:14598. [PMID: 37670005 PMCID: PMC10480296 DOI: 10.1038/s41598-023-37093-1] [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: 03/15/2023] [Accepted: 06/15/2023] [Indexed: 09/07/2023] Open
Abstract
Glucose is a universally available inexpensive biomarker, which is increased as part of the physiological stress response to acute myocardial infarction (AMI) and may therefore help in its early diagnosis. To test this hypothesis, glucose, high-sensitivity cardiac troponin (hs-cTn) T, and hs-cTnI were measured in consecutive patients presenting with acute chest discomfort to the emergency department (ED) and enrolled in a large international diagnostic study (NCT00470587). Two independent cardiologists centrally adjudicated the final diagnosis using all clinical data, including serial hs-cTnT measurements, cardiac imaging and clinical follow-up. The primary diagnostic endpoint was index non-ST-segment elevation MI (NSTEMI). Prognostic endpoints were all-cause death, and cardiovascular (CV) death or future AMI, all within 730-days. Among 5639 eligible patients, NSTEMI was the adjudicated final diagnosis in 1051 (18.6%) patients. Diagnostic accuracy quantified using the area under the receiver-operating characteristics curve (AUC) for the combination of glucose with hs-cTnT and glucose with hs-cTnI was very high, but not higher versus that of hs-cTn alone (glucose/hs-cTnT 0.930 [95% CI 0.922-0.937] versus hs-cTnT 0.929 [95% CI 0.922-0.937]; glucose/hs-cTnI 0.944 [95% CI 0.937-0.951] versus hs-cTnI 0.944 [95% CI 0.937-0.951]). In early-presenters, a dual-marker strategy (glucose < 7 mmol/L and hs-cTnT < 5/hs-cTnI < 4 ng/L) provided very high and comparable sensitivity to slightly lower hs-cTn concentrations (cTnT/I < 4/3 ng/L) alone, and possibly even higher efficacy. Glucose was an independent predictor of 730-days endpoints. Our results showed that a dual marker strategy of glucose and hs-cTn did not increase the diagnostic accuracy when used continuously. However, a cutoff approach combining glucose and hs-cTn may provide diagnostic utility for patients presenting ≤ 3 h after onset of symptoms, also providing important prognostic information.
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Affiliation(s)
- Ana Yufera-Sanchez
- Department of Cardiology, University Heart Center Basel, and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Basel, Switzerland
| | - Pedro Lopez-Ayala
- Department of Cardiology, University Heart Center Basel, and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Basel, Switzerland
| | - Thomas Nestelberger
- Department of Cardiology, University Heart Center Basel, and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Basel, Switzerland
| | - Karin Wildi
- Department of Cardiology, University Heart Center Basel, and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Basel, Switzerland
- Department of Intensive Care, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jasper Boeddinghaus
- Department of Cardiology, University Heart Center Basel, and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Basel, Switzerland
- Department of Cardiology, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Luca Koechlin
- Department of Cardiology, University Heart Center Basel, and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Basel, Switzerland
- Department of Cardiac Surgery, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Maria Rubini Gimenez
- Department of Cardiology, University Heart Center Basel, and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland
- Cardiology Department, Heart Center Leipzig, Leipzig, Germany
| | - Hüseyin Sakiz
- Department of Cardiology, University Heart Center Basel, and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Basel, Switzerland
| | - Paolo Bima
- Department of Cardiology, University Heart Center Basel, and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Basel, Switzerland
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Oscar Miro
- GREAT Network, Basel, Switzerland
- Emergency Department, Hospital Clinic, Barcelona, Catalonia, Spain
| | - F Javier Martín-Sánchez
- GREAT Network, Basel, Switzerland
- Emergency Department, Hospital Clínico San Carlos, Madrid, Spain
| | - Michael Christ
- Department of Emergency Medicine, Luzerner Kantonsspital, Luzern, Switzerland
| | - Dagmar I Keller
- Emergency Department, University Hospital Zurich, Zurich, Switzerland
| | - Danielle M Gualandro
- Department of Cardiology, University Heart Center Basel, and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network, Basel, Switzerland
| | - Damian Kawecki
- 2nd Department of Cardiology, School of Medicine in Zabrze, Medical University of Sielsia, Katowice, Poland
| | - Katharina Rentsch
- Laboratory Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Andreas Buser
- Blood Transfusion Centre, Swiss Red Cross, Basel, Switzerland
- Department of Hematology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Christian Mueller
- Department of Cardiology, University Heart Center Basel, and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland.
- GREAT Network, Basel, Switzerland.
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11
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Doudesis D, Lee KK, Boeddinghaus J, Bularga A, Ferry AV, Tuck C, Lowry MTH, Lopez-Ayala P, Nestelberger T, Koechlin L, Bernabeu MO, Neubeck L, Anand A, Schulz K, Apple FS, Parsonage W, Greenslade JH, Cullen L, Pickering JW, Than MP, Gray A, Mueller C, Mills NL. Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations. Nat Med 2023; 29:1201-1210. [PMID: 37169863 PMCID: PMC10202804 DOI: 10.1038/s41591-023-02325-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 03/28/2023] [Indexed: 05/13/2023]
Abstract
Although guidelines recommend fixed cardiac troponin thresholds for the diagnosis of myocardial infarction, troponin concentrations are influenced by age, sex, comorbidities and time from symptom onset. To improve diagnosis, we developed machine learning models that integrate cardiac troponin concentrations at presentation or on serial testing with clinical features and compute the Collaboration for the Diagnosis and Evaluation of Acute Coronary Syndrome (CoDE-ACS) score (0-100) that corresponds to an individual's probability of myocardial infarction. The models were trained on data from 10,038 patients (48% women), and their performance was externally validated using data from 10,286 patients (35% women) from seven cohorts. CoDE-ACS had excellent discrimination for myocardial infarction (area under curve, 0.953; 95% confidence interval, 0.947-0.958), performed well across subgroups and identified more patients at presentation as low probability of having myocardial infarction than fixed cardiac troponin thresholds (61 versus 27%) with a similar negative predictive value and fewer as high probability of having myocardial infarction (10 versus 16%) with a greater positive predictive value. Patients identified as having a low probability of myocardial infarction had a lower rate of cardiac death than those with intermediate or high probability 30 days (0.1 versus 0.5 and 1.8%) and 1 year (0.3 versus 2.8 and 4.2%; P < 0.001 for both) from patient presentation. CoDE-ACS used as a clinical decision support system has the potential to reduce hospital admissions and have major benefits for patients and health care providers.
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Grants
- FS/18/25/33454 British Heart Foundation
- MR/V007254/1 Medical Research Council
- CH/F/21/90010 British Heart Foundation
- RG/20/10/34966 British Heart Foundation
- MR/N013166/1 Medical Research Council
- RE/18/5/34216 British Heart Foundation
- MR/W000598/1 Medical Research Council
- British Heart Foundation (BHF)
- RCUK | Medical Research Council (MRC)
- The University of Basel, the University Hospital of Basel, the Swiss Academy of Medical Sciences, the Gottfried and Julia Bangerter-Rhyner Foundation, the Swiss National Science Foundation
- Swiss Heart Foundation, the University of Basel, the Swiss Academy of Medical Science, the Gottfried and Julia Bangerter-Rhyner Foundation, and the “Freiwillige Akademische Gesellschaft Basel.”
- Advance Queensland Fellowship
- the Swiss National Science Foundation, the Swiss Heart Foundation, the Commission for Technology and Innovation, and the University Hospital Basel.
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Affiliation(s)
- Dimitrios Doudesis
- British Heart Foundation/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Kuan Ken Lee
- British Heart Foundation/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Jasper Boeddinghaus
- British Heart Foundation/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- Cardiovascular Research Institute Basel and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Anda Bularga
- British Heart Foundation/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Amy V Ferry
- British Heart Foundation/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Chris Tuck
- British Heart Foundation/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Matthew T H Lowry
- British Heart Foundation/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Pedro Lopez-Ayala
- Cardiovascular Research Institute Basel and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Thomas Nestelberger
- Cardiovascular Research Institute Basel and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Luca Koechlin
- Cardiovascular Research Institute Basel and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Cardiac Surgery, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Miguel O Bernabeu
- Usher Institute, University of Edinburgh, Edinburgh, UK
- The Bayes Centre, The University of Edinburgh, Edinburgh, UK
| | - Lis Neubeck
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
| | - Atul Anand
- British Heart Foundation/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Karen Schulz
- Cardiac Biomarkers Trials Laboratory, Hennepin Healthcare Research Institute, Minneapolis, MN, USA
| | - Fred S Apple
- Departments of Laboratory Medicine and Pathology, Hennepin County Medical Center and University of Minnesota, Minneapolis, MN, USA
| | - William Parsonage
- Australian Centre for Health Service Innovation, Centre for Healthcare Transformation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Jaimi H Greenslade
- Emergency and Trauma Centre, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
- School of Medicine, University of Queensland, Brisbane, Queensland, Australia
- Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Louise Cullen
- Emergency and Trauma Centre, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
- School of Medicine, University of Queensland, Brisbane, Queensland, Australia
- Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
| | - John W Pickering
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Emergency Department, Christchurch Hospital, Christchurch, New Zealand
| | - Martin P Than
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Alasdair Gray
- Emergency Medicine Research Group Edinburgh, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Christian Mueller
- Cardiovascular Research Institute Basel and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Nicholas L Mills
- British Heart Foundation/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
- Usher Institute, University of Edinburgh, Edinburgh, UK.
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12
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Koechlin L, Boeddinghaus J, Lopez-Ayala P, Nestelberger T, Wussler D, Mais F, Twerenbold R, Zimmermann T, Wildi K, Köppen AM, Miró Ò, Martin-Sanchez FJ, Kawecki D, Geigy N, Keller DI, Christ M, Buser A, Giménez MR, Bernasconi L, Hammerer-Lercher A, Mueller C. Diagnostic discrimination of a novel high-sensitivity cardiac troponin I assay and derivation/validation of an assay-specific 0/1h-algorithm. Am Heart J 2023; 255:58-70. [PMID: 36243111 DOI: 10.1016/j.ahj.2022.10.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 10/04/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND We aimed to assess the diagnostic utility of the Dimension EXL LOCI High-Sensitivity Troponin I (hs-cTnI-EXL) assay. METHODS This multicenter study included patients with chest discomfort presenting to the emergency department. Diagnoses were centrally and independently adjudicated by two cardiologists using all available clinical information. Adjudication was performed twice including serial measurements of high-sensitivity cardiac troponin (hs-cTn) I-Architect (primary analysis) and serial measurements of hs-cTnT-Elecsys (secondary analysis) in addition to the clinically used (hs)-cTn. The primary objective was to assess and compare the discriminatory performance of hs-cTnI-EXL, hs-cTnI-Architect and hs-cTnT-Elecsys for acute myocardial infarction (MI). Furthermore, we derived and validated a hs-cTnI-EXL-specific 0/1h-algorithm. RESULTS Adjudicated MI was the diagnosis in 204/1454 (14%) patients. The area under the receiver operating characteristics curve for hs-cTnI-EXL was 0.94 (95%CI, 0.93-0.96), and comparable to hs-cTnI-Architect (0.95; 95%CI, 0.93-0.96) and hs-cTnT-Elecsys (0.93; 95%CI, 0.91-0.95). In the derivation cohort (n = 813), optimal criteria for rule-out of MI were <9ng/L at presentation (if chest pain onset >3h) or <9ng/L and 0h-1h-change <5ng/L, and for rule-in ≥160ng/L at presentation or 0h-1h-change ≥100ng/L. In the validation cohort (n = 345), these cut-offs ruled-out 56% of patients (negative predictive value 99.5% (95%CI, 97.1-99.9), sensitivity 97.8% (95%CI, 88.7-99.6)), and ruled-in 9% (positive predictive value 83.3% (95%CI, 66.4-92.7), specificity 98.3% (95%CI, 96.1-99.3)). Secondary analyses using adjudication based on hs-cTnT measurements confirmed the findings. CONCLUSIONS The overall performance of the hs-cTnI-EXL was comparable to best-validated hs-cTnT/I assays and an assay-specific 0/1h-algorithm safely rules out and accurately rules in acute MI. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov number, NCT00470587.
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Affiliation(s)
- Luca Koechlin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Basel, Switzerland; Department of Cardiac Surgery, University Hospital Basel, University of Basel, Basel, Basel, Switzerland; GREAT network, Basel, Basel, Switzerland.
| | - Jasper Boeddinghaus
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Basel, Switzerland; GREAT network, Basel, Basel, Switzerland; Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Basel, Switzerland; BHF/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Pedro Lopez-Ayala
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Basel, Switzerland; GREAT network, Basel, Basel, Switzerland
| | - Thomas Nestelberger
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Basel, Switzerland; GREAT network, Basel, Basel, Switzerland; Division of Cardiology, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Desiree Wussler
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Basel, Switzerland; GREAT network, Basel, Basel, Switzerland; Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Basel, Switzerland
| | - Felix Mais
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Basel, Switzerland; Emergency Department, University Hospital Zurich, Zurich, Zurich, Switzerland
| | - Raphael Twerenbold
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Basel, Switzerland; University Center of Cardiovascular Science & Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Hamburg, Germany
| | - Tobias Zimmermann
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Basel, Switzerland; GREAT network, Basel, Basel, Switzerland
| | - Karin Wildi
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Basel, Switzerland; GREAT network, Basel, Basel, Switzerland; Critical Care Research Group and the University of Queensland, Brisbane, Queensland, Australia
| | - Anne Marie Köppen
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Basel, Switzerland
| | - Òscar Miró
- GREAT network, Basel, Basel, Switzerland; Emergency Department, Hospital Clinic, Barcelona, Catalonia, Spain
| | - F Javier Martin-Sanchez
- GREAT network, Basel, Basel, Switzerland; Servicio de Urgencias, Hospital Clínico San Carlos, Madrid, Madrid, Spain
| | - Damian Kawecki
- GREAT network, Basel, Basel, Switzerland; 2nd Department of Cardiology, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Katowice, Silesian, Poland
| | - Nicolas Geigy
- Emergency Department, Kantonsspital Liestal, Liestal Liestal, Switzerland
| | - Dagmar I Keller
- Emergency Department, University Hospital Zurich, Zurich, Zurich, Switzerland
| | - Michael Christ
- Emergency Department, Kantonsspital Luzern, Luzern, Luzern, Switzerland
| | - Andreas Buser
- Department of hematology and Blood Bank, University Hospital Basel, University of Basel, Basel, Basel Switzerland
| | - Maria Rubini Giménez
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Basel, Switzerland; Department of Cardiology, Heart Center Leipzig, University of Leipzig, Leipzig, Saxony, Germany
| | - Luca Bernasconi
- Institute of Laboratory Medicine, County Hospital Aarau, Aarau, Aarau, Switzerland
| | | | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Basel, Switzerland; GREAT network, Basel, Basel, Switzerland.
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13
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Ratmann PD, Boeddinghaus J, Nestelberger T, Lopez-Ayala P, Huré G, Gehrke J, Koechlin L, Wildi K, Mueller P, Bima P, Wussler D, Gisler N, Miro O, Martín-Sánchez FJ, Christ M, Gualandro DM, Twerenbold R, Gimenez MR, Keller DI, Buser A, Mueller C. Extending the no objective testing rules to patients triaged by the European Society of Cardiology 0/1-hour algorithms. EUROPEAN HEART JOURNAL. ACUTE CARDIOVASCULAR CARE 2022; 11:834-840. [PMID: 36179255 DOI: 10.1093/ehjacc/zuac120] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/04/2022] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
AIMS After rule-out of non-ST elevation myocardial infarction (NSTEMI) with the European Society of Cardiology (ESC) 0/1 h-algorithms, it is unclear which patients require further anatomical or functional cardiac testing. To test the safety and efficacy of the no-objective-testing (NOT)-rules after NSTEMI rule-out by the ESC 0/1 h-algorithms. METHODS AND RESULTS International, prospective, diagnostic multicentre study enrolling adult patients presenting with chest pain to the emergency department. Central adjudication of final diagnosis by two independent cardiologists using information including cardiac imaging. Primary endpoints were the safety and efficacy of the NOT-rules for the rule-out of major adverse cardiovascular events (MACE). Secondary endpoints included 365-day and 2-year MACE. Among 4804 and 4569 patients with available 0/1 h high-sensitivity cardiac troponin (hs-cTn)T-Elecsys or hs-cTnI-Architect concentrations, 2783 (58%) and 2252 (49%) were eligible for application of the NOT-rules after rule-out of NSTEMI by the ESC hs-cTnT/I-0/1h-algorithm. The first rule identified 26% of patients with a sensitivity of 100% (95%CI 98.3-100%) and a negative predictive value (NPV) of 100% (95% CI, n.c.). The second and third rules both identified 31% of patients with a sensitivity of 99.5% (95% CI 97.4-99.9%) and a NPV of 99.9% (95% CI 99.2-99.9%). Similar findings emerged for hs-cTnI. High safety was confirmed for rule-out of 365-day and 2-year MACE and proven to be superior to the HEART Score. CONCLUSION All three NOT-rules performed very well for rule-out of MACE. The third NOT-rule best balanced feasibility, safety, and efficacy by identifying nearly one out of three patients as low-risk and may not require further cardiac testing. https://clinicaltrials.gov/ct2/show/NCT00470587.
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Affiliation(s)
- Paul David Ratmann
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
| | - Jasper Boeddinghaus
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
| | - Thomas Nestelberger
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
| | - Pedro Lopez-Ayala
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
| | - Gabrielle Huré
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
| | - Juliane Gehrke
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
| | - Luca Koechlin
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
- Department of Cardiac Surgery, University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
| | - Karin Wildi
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
- Critical Care Research Group, The Prince Charles Hospital, Brisbane and the University of Queensland, 627 Rode Rd, Chermside Queensland 4032, Australia
| | - Philip Mueller
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
| | - Paolo Bima
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
| | - Desiree Wussler
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
| | - Nicolas Gisler
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
| | - Oscar Miro
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
- Emergency Department, Hospital Clinic, C. de Villarroel 170, 08036 Barcelona, Spain
| | - F Javier Martín-Sánchez
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
- Emergency Department, Hospital Clínico San Carlos, Calle del Prof Martín Lagos, S/N, 28040 Madrid, Spain
| | - Michael Christ
- Department of Emergency Medicine, Luzerner Kantonsspital, Spitalstrasse 16, CH-6000 Luzern, Switzerland
| | - Danielle M Gualandro
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
| | - Raphael Twerenbold
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
| | - Maria Rubini Gimenez
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- Cardiology Department, Heart Center Leipzig, Strümpellstraße 39, D-04289 Leipzig, Germany
| | - Dagmar I Keller
- Emergency Department, University Hospital Zurich, Schmelzbergstrasse 8, CH-8091 Zurich, Switzerland
| | - Andreas Buser
- Blood Transfusion Centre, Swiss Red Cross, Hebelstrasse 10, CH-4056 Basel, Switzerland
- Department of Hematology, University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
| | - Christian Mueller
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
- GREAT network, Via Antonio Serra, 54, 00191 Rome, Italy
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14
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du Fay de Lavallaz J, Piscuoglio S, Mueller C. Response by du Fay de Lavallaz et al to Letter Regarding Article, "Skeletal Muscle Disorders: A Noncardiac Source of Cardiac Troponin T". Circulation 2022; 146:e204. [PMID: 36214135 DOI: 10.1161/circulationaha.122.061976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
- Jeanne du Fay de Lavallaz
- Cardiovascular Research Institute Basel and Department of Cardiology, University of Basel (J.d.F.d.L., C.M.), University Hospital Basel, Switzerland
| | | | - Christian Mueller
- Cardiovascular Research Institute Basel and Department of Cardiology, University of Basel (J.d.F.d.L., C.M.), University Hospital Basel, Switzerland
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15
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Noppakun K, Ratnachina K, Osataphan N, Phrommintikul A, Wongcharoen W. Prognostic values of high sensitivity cardiac troponin T and I for long-term mortality in hemodialysis patients. Sci Rep 2022; 12:13929. [PMID: 35977974 PMCID: PMC9386012 DOI: 10.1038/s41598-022-17799-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 07/31/2022] [Indexed: 11/10/2022] Open
Abstract
Previous studies using contemporary cardiac troponin (cTn) assays have shown conflicting results in predictability of mortality and major adverse cardiovascular events (MACEs) in hemodialysis patients. We aimed to evaluate the prognostic values of high-sensitivity cTnT (hs-cTnT) and hs-cTnI for long-term mortality and MACEs in asymptomatic chronic hemodialysis patients. 198 asymptomatic patients undergoing regular hemodialysis (age 62.4 ± 14.8 years) were enrolled. Pre-dialysis hs-cTnT and hs-cTnI levels were measured. The study outcomes were long-term all-cause mortality and MACEs. Median values of hs-cTnT and hs-cTnI were 61.1 ng/L (IQR 36.6–102.0) and 18.4 ng/L (IQR 9.5–36.6), respectively. During a median follow-up of 13.5 months, 30 (15.1%) patients developed MACEs, and 20 (10.1%) patients died. The patients in highest quartile of hs-cTnT level (≥ 102 ng/L) had increased risk of long-term mortality (HR 3.34; 95%CI 1.39–8.04, P = 0.005). However, hs-cTnI levels above highest quartile (≥ 36 ng/L) was not significantly associated with increased risk of all-cause mortality. Nevertheless, elevated level of hs-cTnT and hs-cTnI was associated with increased risk of MACEs. We demonstrated that higher level of hs-cTnT, but not hs-cTnI, was associated with increased risk of long-term mortality. Nevertheless, higher level of hs-cTnT and hs-cTnI both were associated with greater risk of long-term MACEs.
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Affiliation(s)
- Kajohnsak Noppakun
- Division of Nephrology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.,Pharmacoepidemiology and Statistics Research Center (PESRC), Faculty of Pharmacy, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Kannika Ratnachina
- Division of Cardiology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Nichanan Osataphan
- Division of Cardiology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Arintaya Phrommintikul
- Division of Cardiology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.,Center for Medical Excellence, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Wanwarang Wongcharoen
- Division of Cardiology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
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16
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Sandoval Y, Apple FS, Mahler SA, Body R, Collinson PO, Jaffe AS. High-Sensitivity Cardiac Troponin and the 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guidelines for the Evaluation and Diagnosis of Acute Chest Pain. Circulation 2022; 146:569-581. [PMID: 35775423 DOI: 10.1161/circulationaha.122.059678] [Citation(s) in RCA: 56] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The 2021 American Heart Association/American College of Cardiology/American Society of Echocardiography/American College of Chest Physicians/Society for Academic Emergency Medicine/Society of Cardiovascular Computed Tomography/Society for Cardiovascular Magnetic Resonance guidelines for the evaluation and diagnosis of acute chest pain make important recommendations that include the recognition of high-sensitivity cardiac troponin (hs-cTn) as the preferred biomarker, endorsement of 99th percentile upper reference limits to define myocardial injury, and the use of clinical decision pathways, as well as acknowledgment of the uniqueness of women and other patient subsets. Details on how to integrate hs-cTn into clinical practice are less extensively addressed. Clinicians should be aware of some of the analytical aspects related to hs-cTn assays regarding the limit of detection and the limit of quantitation and how they are used clinically, especially for the single sample strategy to rule out acute myocardial infarction. Likewise, it is important for clinicians to understand issues related to the derivation of the 99th percentile upper reference limit; the value of sex-specific 99th percentile upper reference limits; how to use changing concentrations (deltas) to facilitate diagnosis and risk stratification of patients with suspected acute coronary syndrome, including the differentiation of acute from chronic myocardial injury; and how to best integrate the use of hs-cTn with clinical decision pathways. With the use of hs-cTn, conditions such as type 2 myocardial infarction become more common, whereas others such as unstable angina become less frequent but still occur. Sections relating to these issues are included.
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Affiliation(s)
- Yader Sandoval
- Departments of Cardiovascular Diseases (Y.S., A.S.J.), Mayo Clinic, Rochester, MN
| | - Fred S Apple
- Departments of Laboratory Medicine and Pathology, Hennepin Healthcare/Hennepin County Medical Center and University of Minnesota, Minneapolis (F.S.A.)
| | - Simon A Mahler
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, NC (S.A.M.)
| | - Richard Body
- Emergency Department, Manchester University NSH Foundation Trust, Manchester Academic Health Science Centre, UK (R.B.).,Division of Cardiovascular Sciences, The University of Manchester, UK (R.B.).,Healthcare Sciences Department, Manchester Metropolitan University, UK (R.B.)
| | - Paul O Collinson
- Department of Clinical Blood Sciences and Cardiology, St George's University Hospitals NHS Foundation Trust and St George's University of London, UK (P.O.C.)
| | - Allan S Jaffe
- Departments of Cardiovascular Diseases (Y.S., A.S.J.), Mayo Clinic, Rochester, MN.,Laboratory Medicine and Pathology (A.S.J.), Mayo Clinic, Rochester, MN
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17
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du Fay de Lavallaz J, Prepoudis A, Wendebourg MJ, Kesenheimer E, Kyburz D, Daikeler T, Haaf P, Wanschitz J, Löscher WN, Schreiner B, Katan M, Jung HH, Maurer B, Hammerer-Lercher A, Mayr A, Gualandro DM, Acket A, Puelacher C, Boeddinghaus J, Nestelberger T, Lopez-Ayala P, Glarner N, Shrestha S, Manka R, Gawinecka J, Piscuoglio S, Gallon J, Wiedemann S, Sinnreich M, Mueller C. Skeletal Muscle Disorders: A Noncardiac Source of Cardiac Troponin T. Circulation 2022; 145:1764-1779. [PMID: 35389756 PMCID: PMC10069758 DOI: 10.1161/circulationaha.121.058489] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
BACKGROUND Cardiac troponin (cTn) T and cTnI are considered cardiac specific and equivalent in the diagnosis of acute myocardial infarction. Previous studies suggested rare skeletal myopathies as a noncardiac source of cTnT. We aimed to confirm the reliability/cardiac specificity of cTnT in patients with various skeletal muscle disorders (SMDs). METHODS We prospectively enrolled patients presenting with muscular complaints (≥2 weeks) for elective evaluation in 4 hospitals in 2 countries. After a cardiac workup, patients were adjudicated into 3 predefined cardiac disease categories. Concentrations of cTnT/I and resulting cTnT/I mismatches were assessed with high-sensitivity (hs-) cTnT (hs-cTnT-Elecsys) and 3 hs-cTnI assays (hs-cTnI-Architect, hs-cTnI-Access, hs-cTnI-Vista) and compared with those of control subjects without SMD presenting with adjudicated noncardiac chest pain to the emergency department (n=3508; mean age, 55 years; 37% female). In patients with available skeletal muscle biopsies, TNNT/I1-3 mRNA differential gene expression was compared with biopsies obtained in control subjects without SMD. RESULTS Among 211 patients (mean age, 57 years; 42% female), 108 (51%) were adjudicated to having no cardiac disease, 44 (21%) to having mild disease, and 59 (28%) to having severe cardiac disease. hs-cTnT/I concentrations significantly increased from patients with no to those with mild and severe cardiac disease for all assays (all P<0.001). hs-cTnT-Elecsys concentrations were significantly higher in patients with SMD versus control subjects (median, 16 ng/L [interquartile range (IQR), 7-32.5 ng/L] versus 5 ng/L [IQR, 3-9 ng/L]; P<0.001), whereas hs-cTnI concentrations were mostly similar (hs-cTnI-Architect, 2.5 ng/L [IQR, 1.2-6.2 ng/L] versus 2.9 ng/L [IQR, 1.8-5.0 ng/L]; hs-cTnI-Access, 3.3 ng/L [IQR, 2.4-6.1 ng/L] versus 2.7 ng/L [IQR, 1.6-5.0 ng/L]; and hs-cTnI-Vista, 7.4 ng/L [IQR, 5.2-13.4 ng/L] versus 7.5 ng/L [IQR, 6-10 ng/L]). hs-cTnT-Elecsys concentrations were above the upper limit of normal in 55% of patients with SMD versus 13% of control subjects (P<0.01). mRNA analyses in skeletal muscle biopsies (n=33), mostly (n=24) from individuals with noninflammatory myopathy and myositis, showed 8-fold upregulation of TNNT2, encoding cTnT (but none for TNNI3, encoding cTnI) versus control subjects (n=16, PWald<0.001); the expression correlated with pathological disease activity (R=0.59, Pt-statistic<0.001) and circulating hs-cTnT concentrations (R=0.26, Pt-statistic=0.031). CONCLUSIONS In patients with active chronic SMD, elevations in cTnT concentrations are common and not attributable to cardiac disease in the majority. This was not observed for cTnI and may be explained in part by re-expression of cTnT in skeletal muscle. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT03660969.
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Affiliation(s)
- Jeanne du Fay de Lavallaz
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Cardiology (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland
| | - Alexandra Prepoudis
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Cardiology (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland
| | - Maria Janina Wendebourg
- Neurology Clinic and Policlinic (M.J.W., E.K., M.S.), University Hospital of Basel, Switzerland
| | - Eva Kesenheimer
- Neurology Clinic and Policlinic (M.J.W., E.K., M.S.), University Hospital of Basel, Switzerland
| | - Diego Kyburz
- Department of Rheumatology (D.K., T.D.), University Hospital of Basel, Switzerland.,University of Basel, Switzerland (D.K., M.S., C.M.)
| | - Thomas Daikeler
- Department of Rheumatology (D.K., T.D.), University Hospital of Basel, Switzerland
| | - Philip Haaf
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland
| | - Julia Wanschitz
- Departments of Neurology (J.W., W.N.L.), Medical University of Innsbruck, Austria
| | - Wolfgang N Löscher
- Departments of Neurology (J.W., W.N.L.), Medical University of Innsbruck, Austria
| | - Bettina Schreiner
- Departments of Neurology (B.S., M.K., H.H.J.), University Hospital of Zürich, Switzerland
| | - Mira Katan
- Departments of Neurology (B.S., M.K., H.H.J.), University Hospital of Zürich, Switzerland
| | - Hans H Jung
- Departments of Neurology (B.S., M.K., H.H.J.), University Hospital of Zürich, Switzerland
| | - Britta Maurer
- Rheumatology (B.M.), University Hospital of Zürich, Switzerland.,Department of Rheumatology and Immunology, Inselspital Bern, Switzerland (B.M.)
| | | | - Agnes Mayr
- Radiology (A.M.), Medical University of Innsbruck, Austria
| | - Danielle M Gualandro
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Cardiology (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland
| | - Annemarie Acket
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Neurology Clinic and Policlinic (M.J.W., E.K., M.S.), University Hospital of Basel, Switzerland
| | - Christian Puelacher
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Cardiology (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland
| | - Jasper Boeddinghaus
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Cardiology (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland
| | - Thomas Nestelberger
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Cardiology (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Division of Cardiology, Vancouver General Hospital, University of British Columbia, Canada (T.N.)
| | - Pedro Lopez-Ayala
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Cardiology (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland
| | - Noemi Glarner
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Cardiology (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland
| | - Samyut Shrestha
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Cardiology (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland
| | - Robert Manka
- Cardiology (R.M.), University Hospital of Zürich, Switzerland
| | - Joanna Gawinecka
- Institute of Clinical Chemistry (J. Gawinecka), University Hospital of Zürich, Switzerland
| | - Salvatore Piscuoglio
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Cardiology (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Biomedicine (S.P., J. Gallon, S.W.), University Hospital of Basel, Switzerland
| | - John Gallon
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Cardiology (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Biomedicine (S.P., J. Gallon, S.W.), University Hospital of Basel, Switzerland
| | - Sophia Wiedemann
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Cardiology (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Biomedicine (S.P., J. Gallon, S.W.), University Hospital of Basel, Switzerland
| | - Michael Sinnreich
- Neurology Clinic and Policlinic (M.J.W., E.K., M.S.), University Hospital of Basel, Switzerland.,University of Basel, Switzerland (D.K., M.S., C.M.)
| | - Christian Mueller
- Cardiovascular Research Institute Basel (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,Department of Cardiology (J.d.F.d.L., A.P., P.H., D.M.G., A.A., C.P., J.B., T.N., P.L.-A., N.G., S.S., S.P., J. Gallon, S.W., C.M.), University Hospital of Basel, Switzerland.,University of Basel, Switzerland (D.K., M.S., C.M.)
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18
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Kaura A, Hartley A, Panoulas V, Glampson B, Shah ASV, Davies J, Mulla A, Woods K, Omigie J, Shah AD, Thursz MR, Elliott P, Hemmingway H, Williams B, Asselbergs FW, O'Sullivan M, Lord GM, Trickey A, Sterne JA, Haskard DO, Melikian N, Francis DP, Koenig W, Shah AM, Kharbanda R, Perera D, Patel RS, Channon KM, Mayet J, Khamis R. Mortality risk prediction of high-sensitivity C-reactive protein in suspected acute coronary syndrome: A cohort study. PLoS Med 2022; 19:e1003911. [PMID: 35192610 PMCID: PMC8863282 DOI: 10.1371/journal.pmed.1003911] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 01/11/2022] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND There is limited evidence on the use of high-sensitivity C-reactive protein (hsCRP) as a biomarker for selecting patients for advanced cardiovascular (CV) therapies in the modern era. The prognostic value of mildly elevated hsCRP beyond troponin in a large real-world cohort of unselected patients presenting with suspected acute coronary syndrome (ACS) is unknown. We evaluated whether a mildly elevated hsCRP (up to 15 mg/L) was associated with mortality risk, beyond troponin level, in patients with suspected ACS. METHODS AND FINDINGS We conducted a retrospective cohort study based on the National Institute for Health Research Health Informatics Collaborative data of 257,948 patients with suspected ACS who had a troponin measured at 5 cardiac centres in the United Kingdom between 2010 and 2017. Patients were divided into 4 hsCRP groups (<2, 2 to 4.9, 5 to 9.9, and 10 to 15 mg/L). The main outcome measure was mortality within 3 years of index presentation. The association between hsCRP levels and all-cause mortality was assessed using multivariable Cox regression analysis adjusted for age, sex, haemoglobin, white cell count (WCC), platelet count, creatinine, and troponin. Following the exclusion criteria, there were 102,337 patients included in the analysis (hsCRP <2 mg/L (n = 38,390), 2 to 4.9 mg/L (n = 27,397), 5 to 9.9 mg/L (n = 26,957), and 10 to 15 mg/L (n = 9,593)). On multivariable Cox regression analysis, there was a positive and graded relationship between hsCRP level and mortality at baseline, which remained at 3 years (hazard ratio (HR) (95% CI) of 1.32 (1.18 to 1.48) for those with hsCRP 2.0 to 4.9 mg/L and 1.40 (1.26 to 1.57) and 2.00 (1.75 to 2.28) for those with hsCRP 5 to 9.9 mg/L and 10 to 15 mg/L, respectively. This relationship was independent of troponin in all suspected ACS patients and was further verified in those who were confirmed to have an ACS diagnosis by clinical coding. The main limitation of our study is that we did not have data on underlying cause of death; however, the exclusion of those with abnormal WCC or hsCRP levels >15 mg/L makes it unlikely that sepsis was a major contributor. CONCLUSIONS These multicentre, real-world data from a large cohort of patients with suspected ACS suggest that mildly elevated hsCRP (up to 15 mg/L) may be a clinically meaningful prognostic marker beyond troponin and point to its potential utility in selecting patients for novel treatments targeting inflammation. TRIAL REGISTRATION ClinicalTrials.gov - NCT03507309.
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Affiliation(s)
- Amit Kaura
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
- NIHR Imperial Biomedical Research Centre, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Adam Hartley
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
- NIHR Imperial Biomedical Research Centre, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Vasileios Panoulas
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
- NIHR Imperial Biomedical Research Centre, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Ben Glampson
- NIHR Imperial Biomedical Research Centre, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Anoop S V Shah
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
- NIHR Imperial Biomedical Research Centre, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
- London School of Hygiene Tropical Medicine, London, United Kingdom
| | - Jim Davies
- NIHR Oxford Biomedical Research Centre, University of Oxford and Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Abdulrahim Mulla
- NIHR Imperial Biomedical Research Centre, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Kerrie Woods
- NIHR Oxford Biomedical Research Centre, University of Oxford and Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Joe Omigie
- NIHR King's Biomedical Research Centre, King's College London and King's College Hospital NHS Foundation Trust, London, United Kingdom
| | - Anoop D Shah
- NIHR University College London Hospitals Biomedical Research Centre, University College London and University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Mark R Thursz
- NIHR Imperial Biomedical Research Centre, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Paul Elliott
- NIHR Imperial Biomedical Research Centre, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
- Health Data Research, London Substantive Site, United Kingdom
| | - Harry Hemmingway
- NIHR University College London Hospitals Biomedical Research Centre, University College London and University College London Hospitals NHS Foundation Trust, London, United Kingdom
- Health Data Research, London Substantive Site, United Kingdom
| | - Bryan Williams
- NIHR University College London Hospitals Biomedical Research Centre, University College London and University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Folkert W Asselbergs
- NIHR University College London Hospitals Biomedical Research Centre, University College London and University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Michael O'Sullivan
- NIHR Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Graham M Lord
- NIHR Manchester Biomedical Research Centre, University of Manchester and Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Adam Trickey
- NIHR Bristol Biomedical Research Centre, University of Bristol and University Hospitals Bristol NHS Foundation Trust, London, United Kingdom
| | - Jonathan Ac Sterne
- NIHR King's Biomedical Research Centre, King's College London and Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Dorian O Haskard
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Narbeh Melikian
- NIHR King's Biomedical Research Centre, King's College London and King's College Hospital NHS Foundation Trust, London, United Kingdom
| | - Darrel P Francis
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
- NIHR Imperial Biomedical Research Centre, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany and DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Ajay M Shah
- NIHR King's Biomedical Research Centre, King's College London and King's College Hospital NHS Foundation Trust, London, United Kingdom
| | - Rajesh Kharbanda
- NIHR Oxford Biomedical Research Centre, University of Oxford and Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Divaka Perera
- NIHR Manchester Biomedical Research Centre, University of Manchester and Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Riyaz S Patel
- NIHR University College London Hospitals Biomedical Research Centre, University College London and University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Keith M Channon
- NIHR Oxford Biomedical Research Centre, University of Oxford and Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Jamil Mayet
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
- NIHR Imperial Biomedical Research Centre, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Ramzi Khamis
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
- NIHR Imperial Biomedical Research Centre, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
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19
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Panchavati S, Lam C, Zelin NS, Pellegrini E, Barnes G, Hoffman J, Garikipati A, Calvert J, Mao Q, Das R. Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification. Healthc Technol Lett 2021; 8:139-147. [PMID: 34938570 PMCID: PMC8667565 DOI: 10.1049/htl2.12017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 05/26/2021] [Accepted: 06/10/2021] [Indexed: 12/22/2022] Open
Abstract
Diagnosis and appropriate intervention for myocardial infarction (MI) are time-sensitive but rely on clinical measures that can be progressive and initially inconclusive, underscoring the need for an accurate and early predictor of MI to support diagnostic and clinical management decisions. The objective of this study was to develop a machine learning algorithm (MLA) to predict MI diagnosis based on electronic health record data (EHR) readily available during Emergency Department assessment. An MLA was developed using retrospective patient data. The MLA used patient data as they became available in the first 3 h of care to predict MI diagnosis (defined by International Classification of Diseases, 10th revision code) at any time during the encounter. The MLA obtained an area under the receiver operating characteristic curve of 0.87, sensitivity of 87% and specificity of 70%, outperforming the comparator scoring systems TIMI and GRACE on all metrics. An MLA can synthesize complex EHR data to serve as a clinically relevant risk stratification tool for MI.
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Affiliation(s)
| | - Carson Lam
- Division of Data ScienceDascena, Inc.HoustonTexasUSA
| | | | | | - Gina Barnes
- Division of Data ScienceDascena, Inc.HoustonTexasUSA
| | - Jana Hoffman
- Division of Data ScienceDascena, Inc.HoustonTexasUSA
| | | | - Jacob Calvert
- Division of Data ScienceDascena, Inc.HoustonTexasUSA
| | - Qingqing Mao
- Division of Data ScienceDascena, Inc.HoustonTexasUSA
| | - Ritankar Das
- Division of Data ScienceDascena, Inc.HoustonTexasUSA
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20
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Wildi K, Boeddinghaus J, Nestelberger T, Lopez-Ayala P, Yufera Sanchez A, Okamura B, Shrestha S, Rohner J, Miró Ò, Martinez-Nadal G, Martin-Sanchez FJ, Koechlin L, Twerenbold R, Christ M, Kawecki D, Rubini Giménez M, Keller DI, Mueller C, Wussler DI, Strebel A, Bakula S, Frey DM, Gualandro T, Zimmermann C, Puelacher J, du Fay de Lavallaz E, Potlukova M, Diebold N, Geigy K, Rentsch S, Mitrovic C, Fuenzalida N, Glarner BMP, Munzk T, Breidthardt M, Freese B, López S, Calderón ER, Adrada E, Ganovská J, Parenica A, von Eckardstein I, Campodarve J, Gea . 0/2 h-Algorithm for Rapid Triage of Suspected Myocardial Infarction Using a Novel High-Sensitivity Cardiac Troponin I Assay. Clin Chem 2021. [DOI: 10.1093/clinchem/hvab203] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Abstract
Background
We aimed to derive and validate a 0/2 h-algorithm using the new high-sensitivity cardiac troponin I (hs-cTnI)-VITROS assay (VITROS® Immunodiagnostic Products hs-Troponin I Reagent Pack, Ortho Clinical Diagnostics) for rapid rule-out/in of non-ST-segment elevation myocardial infarction (NSTEMI).
Methods
The final diagnosis was centrally adjudicated by 2 independent cardiologists according to the fourth universal definition of myocardial infarction (MI) among 1888 patients presenting to the emergency department with acute chest pain. hs-cTnI-VITROS concentrations were measured at presentation and at 2 h in a blinded fashion. The optimal assay-specific thresholds for the hs-cTnI-VITROS 0/2 h-algorithm were derived in a randomly selected 70% of the cohort and validated in the remaining 30%.
Results
NSTEMI was the final diagnosis in 216/1322 (16.3%) patients of the derivation cohort. Rule-out was defined as baseline hs-cTnI concentrations of <1 ng/L in patients presenting with chest pain onset >3 h or a baseline hs-cTnI concentration of <2 ng/L and an absolute change of <3 ng/L within 2 h. Thresholds for rule-in were either ≥40 ng/L at presentation or an absolute change within 2 h of ≥ 5ng/L. In the derivation cohort, these thresholds ruled-out 50.8% of patients with a negative predictive value (NPV) and sensitivity of 99.7% (95% Confidence Interval (CI), 98.8–99.9%) and 99.1% (95% CI, 96.7–99.9%), and ruled-in 17.9% with a positive predictive value (PPV) of 79.2% (95% CI, 74.3–83.5%). In the validation cohort, NSTEMI was the final diagnosis in 91/566 (16.1%) patients. The derived 0/2 h-algorithm ruled-out 46.3% of patients with a NPV and sensitivity of 100% (95% CI, 95.6–100%) and 100% (95% CI, 96.0–100%), and ruled-in 18.9% with a PPV of 73.8% (95% CI, 66.1–80.3%) in the validation cohort.
Conclusion
hs-cTnI-VITROS concentrations at presentation combined with absolute changes within the first 2 h allowed safe rule-out and accurate rule-in of NSTEMI in two-thirds of unselected patients presenting with acute chest pain to the emergency department.
Trial registration
www.clinicaltrials.gov: NCT0047058
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Affiliation(s)
- 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 University of Queensland, Brisbane, Australia
| | - Jasper Boeddinghaus
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network
- Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Thomas Nestelberger
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network
- Division of Cardiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Pedro Lopez-Ayala
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network
| | - Ana Yufera Sanchez
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network
| | - Bernhard Okamura
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network
| | - Samyut Shrestha
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network
| | - Jennifer Rohner
- GREAT Network
- Emergency Department, University Hospital Zurich, Zurich, Switzerland
| | - Òscar Miró
- GREAT Network
- Emergency Department, Hospital Clinic, Barcelona, Catalonia, Spain
| | | | | | - 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
| | - Raphael Twerenbold
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- GREAT Network
- Department of Cardiology and University Center of Cardiovascular Science, University Heart and Vascular Center Hamburg, Hamburg, Germany
| | | | - Damian Kawecki
- 2nd Department of Cardiology, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Katowice, Katowice, Poland
| | - Maria Rubini Giménez
- GREAT Network
- Department of Internal Medicine/Cardiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany
| | - Dagmar I Keller
- Emergency Department, University Hospital Zurich, Zurich, 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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21
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Pretorius CJ, Parsonage W, Cullen LW, Wilgen U, De Waal E, Klingberg S, Dimeski G, White R, Greenslade J, Ungerer JPJ. Evaluation of the Atellica TnIH cardiac troponin I assay and assessment of biological equivalence. Clin Chem Lab Med 2021; 60:283-290. [PMID: 34800088 DOI: 10.1515/cclm-2021-0991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 11/12/2021] [Indexed: 11/15/2022]
Abstract
OBJECTIVES We evaluated the analytical performance characteristics and the biological equivalence of the Atellica TnIH assay. METHODS Precision, detection capability, linearity, and sex specific 99th percentiles were determined de novo. Classification of patients relative to the 99th percentiles was used to assess biological equivalence. RESULTS Analytical precision and detection capability of the Atellica TnIH assay is excellent with a limit of blank <1 ng/L and 62.5% of women and 93% of men had results above the limit of detection. The 99th percentiles (90% CI) in women were 49 ng/L (31-67) and 70 ng/L (48-121) in men. An asymmetrical distribution involving 5% of results was notable. Agreement was moderate (Kappa 0.58, 95% CI 0.53-0.63) with 20% of patients discordantly classified with Atellica TnIH below and Access hsTnI above the 99th percentiles. Serial results in 195 patients demonstrated good agreement (Kappa 0.84, 95% CI 0.77-0.90). Differences greater than the assay specific reference change values (z≥±1.96) occurred in 65% (95% CI 53-76%) of 99th percentile discordant patients compared to 2.7% (p<0.001) and 76% (p=0.17) of the concordant low and high cTnI groups respectively. CONCLUSIONS The 99th percentile discordant and the concordantly elevated groups are more alike with respect to their z≥±1.96 rates. This favours an overestimated Atellica TnIH 99th percentile as more likely, and we hypothesize that antibody interference resulting in asymmetric scatter of nearly 5% samples may be the underlying mechanism. Analytical accuracy and interferences in cardiac troponin assays should be investigated and resolved with high priority.
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Affiliation(s)
- Carel J Pretorius
- Pathology Queensland, Herston, Australia.,Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - William Parsonage
- Faculty of Medicine, The University of Queensland, Brisbane, Australia.,Royal Brisbane and Women's Hospital, Herston, Australia.,Faculty of Health, Queensland University of Technology, Brisbane, Australia
| | - Louise W Cullen
- Faculty of Medicine, The University of Queensland, Brisbane, Australia.,Royal Brisbane and Women's Hospital, Herston, Australia.,Faculty of Health, Queensland University of Technology, Brisbane, Australia
| | - Urs Wilgen
- Pathology Queensland, Herston, Australia.,Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | | | | | | | - Rob White
- Pathology Queensland, Herston, Australia
| | - Jaimi Greenslade
- Faculty of Medicine, The University of Queensland, Brisbane, Australia.,Royal Brisbane and Women's Hospital, Herston, Australia
| | - Jacobus P J Ungerer
- Pathology Queensland, Herston, Australia.,Faculty of Medicine, The University of Queensland, Brisbane, Australia
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22
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Gualandro DM, Puelacher C, Lurati Buse G, Glarner N, Cardozo FA, Vogt R, Hidvegi R, Strunz C, Bolliger D, Gueckel J, Yu PC, Liffert M, Arslani K, Prepoudis A, Calderaro D, Hammerer-Lercher A, Lampart A, Steiner LA, Schären S, Kindler C, Guerke L, Osswald S, Devereaux PJ, Caramelli B, Mueller C. Incidence and outcomes of perioperative myocardial infarction/injury diagnosed by high-sensitivity cardiac troponin I. Clin Res Cardiol 2021; 110:1450-1463. [PMID: 33768367 PMCID: PMC8405484 DOI: 10.1007/s00392-021-01827-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 02/21/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND Perioperative myocardial infarction/injury (PMI) diagnosed by high-sensitivity troponin (hs-cTn) T is frequent and a prognostically important complication of non-cardiac surgery. We aimed to evaluate the incidence and outcome of PMI diagnosed using hs-cTnI, and compare it to PMI diagnosed using hs-cTnT. METHODS We prospectively included 2455 patients at high cardiovascular risk undergoing 3111 non-cardiac surgeries, for whom hs-cTnI and hs-cTnT concentrations were measured before surgery and on postoperative days 1 and 2. PMI was defined as a composite of perioperative myocardial infarction (PMIInfarct) and perioperative myocardial injury (PMIInjury), according to the Fourth Universal Definition of Myocardial Infarction. All-cause mortality was the primary endpoint. RESULTS Using hs-cTnI, the incidence of overall PMI was 9% (95% confidence interval [CI] 8-10%), including PMIInfarct 2.6% (95% CI 2.0-3.2) and PMIInjury 6.1% (95% CI 5.3-6.9%), which was lower versus using hs-cTnT: overall PMI 15% (95% CI 14-16%), PMIInfarct 3.7% (95% CI 3.0-4.4) and PMIInjury 11.3% (95% CI 10.2-12.4%). All-cause mortality occurred in 52 (2%) patients within 30 days and 217 (9%) within 1 year. Using hs-cTnI, both PMIInfarct and PMIInjury were independent predictors of 30-day all-cause mortality (adjusted hazard ratio [aHR] 2.5 [95% CI 1.1-6.0], and aHR 2.8 [95% CI 1.4-5.5], respectively) and, 1-year all-cause mortality (aHR 2.0 [95% CI 1.2-3.3], and aHR 1.8 [95% CI 1.2-2.7], respectively). Overall, the prognostic impact of PMI diagnosed by hs-cTnI was comparable to the prognostic impact of PMI using hs-cTnT. CONCLUSIONS Using hs-cTnI, PMI is less common versus using hs-cTnT. Using hs-cTnI, both PMIInfarct and PMIInjury remain independent predictors of 30-day and 1-year mortality.
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Affiliation(s)
- Danielle M Gualandro
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland.
- Interdisciplinary Medicine in Cardiology Unit, Cardiology Department, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, Brazil.
| | - Christian Puelacher
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
| | - Giovanna Lurati Buse
- Department of Anesthesiology, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Noemi Glarner
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
| | - Francisco A Cardozo
- Interdisciplinary Medicine in Cardiology Unit, Cardiology Department, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, Brazil
| | - Ronja Vogt
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
| | - Reka Hidvegi
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
- Department of Anesthesiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Celia Strunz
- Laboratory Medicine, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, Brazil
| | - Daniel Bolliger
- Department of Anesthesiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Johanna Gueckel
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
| | - Pai C Yu
- Interdisciplinary Medicine in Cardiology Unit, Cardiology Department, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, Brazil
| | - Marcel Liffert
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
- Department of Anesthesiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Ketina Arslani
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
| | - Alexandra Prepoudis
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
| | - Daniela Calderaro
- Interdisciplinary Medicine in Cardiology Unit, Cardiology Department, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, Brazil
| | | | - Andreas Lampart
- Department of Anesthesiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Luzius A Steiner
- Department of Laboratory Medicine, University of Basel, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Stefan Schären
- Department of Spinal Surgery, University Hospital Basel, Basel, Switzerland
| | - Christoph Kindler
- Department of Anesthesiology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - Lorenz Guerke
- Department of Vascular Surgery, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Stefan Osswald
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
| | - P J Devereaux
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Anesthesiology, Perioperative Medicine, and Surgical Research Unit C/o Hamilton General Hospital, McMaster University, Hamilton, Canada
| | - Bruno Caramelli
- Interdisciplinary Medicine in Cardiology Unit, Cardiology Department, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, Brazil
| | - Christian Mueller
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
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23
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Do age-adjusted sex-specific cut-off values improve the agreement between high sensitivity cardiac troponins I and T? A retrospective study. Clin Chim Acta 2021; 519:76-82. [PMID: 33865814 DOI: 10.1016/j.cca.2021.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 04/07/2021] [Accepted: 04/11/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND Many reports noted a disagreement between High sensitivity cardiac Troponin (hs-cTn) assays on the diagnosis of Acute Coronary Syndrome (ACS). METHODS We conducted a retrospective study aiming to assess the agreement between hs-cTn T (Roche) and hs-cTn I (Abbott) in patients presenting with a suspected ACS to the emergency department at Hotel-Dieu hospital between September 2017 and October 2019 using overall, sex-specific, and age-adjusted sex-specific cut-off values. This was measured using Cohen's Kappa. We explored whether renal function, circadian rhythm, age and sex influenced the discordance. And we analyzed the trend of agreement between baseline and repeated measurements. RESULTS 4856 patients who had simultaneous hs-cTn I and T values were retained for the analysis. 53.5% had a hs-cTn T above the overall 99th percentile, compared to 19.9% for hs-cTn I. The numbers were significantly reduced when applying age-adjusted sex-specific 99th percentile. A disagreement was seen in 34% of cases using overall 99th percentile. Using sex-specific cut off values did not impact this discordance; however, age-adjusted sex-specific cut-off values reduced the percentage of discrepancies to 15.8%. The decreased renal function had a negative effect on the agreement while the circadian rhythm had minimal effect. This initial discordance was carried forward into repeated measurements. CONCLUSION The disagreement between hs-cTn T and I assays could be imputed to the choice of cut-off values. The use of age-adjusted sex specific 99th percentile reduced majorly these discordances. Further studies are needed in order to evaluate their clinical utility in patients presenting with ACS.
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24
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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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25
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Wildi K, Boeddinghaus J, Nestelberger T, Haaf P, Koechlin L, Ayala Lopez P, Walter J, Badertscher P, Ratmann PD, Miró Ò, Martin-Sanchez FJ, Muzyk P, Kaeslin M, RubiniGiménez M, M Gualandro D, Buergler F, Keller DI, Christ M, Twerenbold R, Mueller C. External validation of the clinical chemistry score. Clin Biochem 2021; 91:16-25. [PMID: 33636187 DOI: 10.1016/j.clinbiochem.2021.02.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 02/02/2021] [Accepted: 02/11/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Combining high-sensitivity cardiac troponin (hs-cTn) with estimated glomerular filtration rate and glucose within the Clinical Chemistry Score (CCS) could help in the assessment of patients with suspected acute myocardial infarction (AMI). METHODS In patients presenting with suspected AMI to the emergency department, we aimed to externally validate the performance of the CCS in a prospective international multicenter study and to directly compare the diagnostic and prognostic performance of the CCS with hs-cTnT and hs-cTnI baseline levels alone using a single cut-off approach. The diagnostic endpoint was diagnostic accuracy for AMI as centrally adjudicated by two independent cardiologists including cardiac imaging and serial hs-cTnT/I measurements. The prognostic endpoint was 30-day AMI or death. RESULTS AMI was the final diagnosis in 620/3827 patients (16.2%) adjudicated with hs-cTnT and 599 patients (15.7%) adjudicated with hs-cTnI. The CCS resulted in high diagnostic accuracy for AMI and prognostic accuracy for 30-days AMI/death as quantified by the area under the receiver-operating characteristic curve (AUC), using hs-cTnT 0.90 (95%CI 0.89-0.91) and 0.89 (95%CI 0.88-0.90), using hs-cTnI 0.91 (95%Cl 0.90-0.92) and 0.90 (95%CI 0.89-0.91) respectively. E.g. a CCS of 0 points resulted in a sensitivity of 99.8% (95%CI 99.1-100%) for rule-out of index AMI and 99.5% (95%CI 98.5-100%) for AMI/death at 30 days for hs-cTnT and 99.8% (95%CI 98.9-100%) and 99.6% (95%CI 98.6-100%) using hs-cTnI. Overall, the single hs-cTnT/I measurement approach provided comparable diagnostic (sensitivity 99.5-99.7%) and prognostic (sensitivity 98.9-99.5%) performance versus the CCS. INTERPRETATION The CCS provided high diagnostic and prognostic performance also in this independent large validation cohort. A single hs-cTnT/I measurement approach for rule-out MI yielded similar estimates.
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Affiliation(s)
- Karin Wildi
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT Network; Critical Care Research Group, The Prince Charles Hospital, Brisbane, and the University of Queensland, Brisbane, Australia
| | - Jasper Boeddinghaus
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT Network
| | - Thomas Nestelberger
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT Network
| | - Philip Haaf
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT Network
| | - Luca Koechlin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT Network; Department of Cardiac Surgery, University Hospital Basel, University of Basel, Switzerland
| | - Pedro Ayala Lopez
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT Network
| | - Joan Walter
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT Network; Division of Internal Medicine, University Hospital Basel, University of Basel, Switzerland
| | - Patrick Badertscher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT Network; Division of Cardiology, Medical University of South Carolina, Charleston, SC, United States
| | - Paul David Ratmann
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT Network
| | - Òscar Miró
- GREAT Network; Emergency Department, Hospital Clinic, Barcelona, Catalonia, Spain
| | | | - Piotr Muzyk
- GREAT Network; 2(nd) Department of Cardiology, School of Medicine with the Division of Dentistry, Zabrze, Medical University of Katowice, Poland
| | - Marina Kaeslin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT Network
| | - Maria RubiniGiménez
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT Network
| | - Danielle M Gualandro
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT Network
| | - Franz Buergler
- Emergency Department, Kantonsspital Liestal, Switzerland
| | - Dagmar I Keller
- Emergency Department, University Hospital Zurich, Zurich, Switzerland
| | | | - Raphael Twerenbold
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT Network
| | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT Network.
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van den Berg VJ, Oemrawsingh RM, Umans VAWM, Kardys I, Asselbergs FW, van der Harst P, Hoefer IE, Kietselaer B, Lenderink T, Oude Ophuis AJ, van Schaik RH, de Winter RJ, Akkerhuis KM, Boersma E. Temporal Evolution of Serum Concentrations of High-Sensitivity Cardiac Troponin During 1 Year After Acute Coronary Syndrome Admission. J Am Heart Assoc 2021; 10:e017393. [PMID: 33325242 PMCID: PMC7955490 DOI: 10.1161/jaha.120.017393] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Accepted: 11/03/2020] [Indexed: 12/04/2022]
Abstract
Background Detailed insights in temporal evolution of high-sensitivity cardiac troponin following acute coronary syndrome (ACS) are currently missing. We aimed to describe and compare the post-ACS kinetics of high-sensitivity cardiac troponin I (hs-cTnI) and high-sensitivity cardiac troponin T (hs-cTnT), and to determine their intra- and interindividual variation in clinically stable patients. Methods and Results We determined hs-cTnI (Abbott) and hs-cTnT (Roche) in 1507 repeated blood samples, derived from 191 patients with ACS (median, 8/patient) who remained free from adverse cardiac events during 1-year follow-up. Post-ACS kinetics were studied by linear mixed-effect models. Using the samples collected in the 6- to 12-month post-ACS time frame, patients were then considered to have chronic coronary syndrome. We determined (differences between) the average hs-cTnI and average hs-cTnT concentration, and the intra- and interindividual variation for both biomarkers. Compared with hs-cTnT, hs-cTnI peaked higher (median 3506 ng/L versus 494 ng/L; P<0.001) and was quicker below the biomarker-specific upper reference limit (16 versus 19 days; P<0.001). In the post-6-month samples, hs-cTnI and hs-cTnT showed modest correlation (rspearman=0.60), whereas the average hs-cTnT concentration was 5 times more likely to be above the upper reference limit than hs-cTnI. The intraindividual variations of hs-cTnI and hs-cTnT were 14.0% and 18.1%, while the interindividual variations were 94.1% and 75.9%. Conclusions Hs-cTnI peaked higher after ACS and was quicker below the upper reference limit. In the post-6-month samples, hs-cTnI and hs-cTnT were clearly not interchangeable, and average hs-cTnT concentrations were much more often above the upper reference limit than hs-cTnI. For both markers, the within-patient variation fell largely below beween-patient variation. Registration URL: https://www.trialregister.nl; unique identifiers: NTR1698 and NTR1106.
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Affiliation(s)
- Victor J. van den Berg
- Netherlands Heart InstituteUtrechtThe Netherlands
- Northwest ClinicsAlkmaarThe Netherlands
- Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
| | | | | | - Isabella Kardys
- Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
| | | | | | - Imo E. Hoefer
- University Medical Center UtrechtUtrechtThe Netherlands
| | | | | | - Anton J. Oude Ophuis
- Canisius‐Wilhelmina ZiekenhuisNijmegenThe Netherlands
- Working Group on Cardiovascular Research the Netherlands (WCN)UtrechtThe Netherlands
| | - Ron H. van Schaik
- Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
| | | | | | - Eric Boersma
- Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
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27
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Snaedal S, Bárány P, Lund SH, Qureshi AR, Heimbürger O, Stenvinkel P, Löwbeer C, Szummer K. High-sensitivity troponins in dialysis patients: variation and prognostic value. Clin Kidney J 2020; 14:1789-1797. [PMID: 34221386 PMCID: PMC8243265 DOI: 10.1093/ckj/sfaa215] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 09/08/2020] [Indexed: 11/23/2022] Open
Abstract
Background Dialysis patients have a high prevalence of cardiovascular mortality but also elevated cardiac troponins (cTns) even without signs of cardiac ischaemia. The study aims to assess variation and prognostic value of high-sensitivity cTnI and cTnT in prevalent dialysis patients. Methods In 198 prevalent haemodialysis (HD) and 78 peritoneal dialysis (PD) patients, 4-monthly serum troponin I and T measurements were obtained. Reference change values (RCVs) were used for variability assessment and competing-risk regression models for survival analyses; maximal follow-up was 50 months. Results HD and PD patients had similar troponin levels [median (interquartile range) troponin I: 25 ng/L (14–43) versus 21 ng/L (11–37), troponin T: 70 ng/L (44–129) versus 67 ng/L (43–123)]. Of troponin I and T levels, 42% versus 98% were above the decision level of myocardial infarction. RCVs were +68/−41% (troponin I) and +29/−23% (troponin T). Increased variability of troponins related to higher age, male sex, protein-energy wasting and congestive heart failure, but not ischaemic heart disease or dialysis form. Elevated troponin T, but not troponin I, predicted death after adjusting for confounders. Conclusions A large proportion of prevalent dialysis patients without current established or ongoing cardiac events have elevated levels of high-sensitivity cTns. Mortality risk was doubled in patients with persistently high troponin T levels. The large intraindividual variation of cTns suggests that serial measurements and reference change levels may be used to improve diagnostic utility. However, evidence-based recommendations require more data from large studies of dialysis patients with cardiac events.
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Affiliation(s)
- Sunna Snaedal
- Department of Clinical Science, Intervention and Technology, Division of Renal Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.,Landspitali University Hospital, Reykjavik, Iceland
| | - Peter Bárány
- Department of Clinical Science, Intervention and Technology, Division of Renal Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Sigrún H Lund
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Abdul R Qureshi
- Department of Baxter Novum, Karolinska Institutet, Stockholm, Sweden
| | - Olof Heimbürger
- Department of Clinical Science, Intervention and Technology, Division of Renal Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Peter Stenvinkel
- Department of Clinical Science, Intervention and Technology, Division of Renal Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Christian Löwbeer
- Department of Laboratory Medicine, Division of Clinical Chemistry, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Chemistry, SYNLAB Medilab, Täby, Sweden
| | - Karolina Szummer
- Department of Medicine (Huddinge), Karolinska Institutet, Stockholm, Sweden.,Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
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28
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Reference limits of high-sensitive cardiac troponin T indirectly estimated by a new approach applying data mining. A special example for measurands with a relatively high percentage of values at or below the detection limit. J LAB MED 2020. [DOI: 10.1515/labmed-2020-0063] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Abstract
A new model for the indirect estimation of reference limits (RLs) has been proposed recently and was coined TMC approach (truncated minimum chi-square estimation) which can be performed with R statistic. A spline function is applied to the RLs to get a continuous function if age is graphically presented vs. the RLs avoiding artificial “jumps” between different age groups. Most indirect models assume a power normal distribution and fail if this assumption is not fulfilled as e.g. if a relatively high percentage of measured values is below the detection limit and the data are distributed extremely skewed. This problem is handled by the TMC model. High-sensitive cardiac troponin T (hs cTnT) was chosen as an example. The hs cTnT concentration in serum or plasma is well accepted as a valuable marker in the diagnosis of acute myocardial infarction. Currently, the 99th percentile derived from a “healthy” subpopulation is the decision limit recommended by consensus groups. However, this decision limit is questioned by several authors for many reasons. In the present report, the 97.5th and the 99th percentile limits were reinvestigated by the TMC model with different subpopulations stratified according to age and sex and were finally compared to presently recommended decision limits. In summary, the generally recommended 99th percentile as a fixed decision limit should be reconsidered. It is suggested to apply more specific reference limits stratified for age and sex instead of a fixed decision limit.
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29
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Bahadur K, Ijaz A, Salahuddin M, Alam A. Determination of high sensitive cardiac troponin I 99th percentile upper reference limits in a healthy Pakistani population. Pak J Med Sci 2020; 36:1303-1307. [PMID: 32968398 PMCID: PMC7501037 DOI: 10.12669/pjms.36.6.2328] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE This study aims to establish the 99th percentile upper reference limits of high sensitive cardiac troponin I in a healthy Pakistani population. METHODS It was an Observational cohort study carried out in Department of Chemical Pathology and Endocrinology Rehman Medical Institute Peshawar, over the period of one year (January 2019- December 2019). Total 299 cardio-healthy males and females were interviewed and taken past medical history. Based on history, clinical examination, echocardiogram and laboratory data including results of estimated glomerular filtration rate (eGFR) and N-terminal pro-B-type natriureteric peptide (NT-proBNP), subjects with possible subclinical diseases were excluded. High Sensitive Cardiac Troponin I (hs-cTtrop I) was analysed on Abbot ARCHITECT STAT ci8200 using chemiluminescent immunoassay technique. The 99th percentile upper reference limit (URL) of hs-cTtrop I was determined using a non-parametric statistic, while gender specific results were compared. RESULTS In this study, 178 males (59.5%) and 121 females (40.5%) were included. The median Interquartile ranges (IQR) of age was 57 (11.6) for males and 56 (13) for females. The 99th percentile URL hs-cTtrop I was found to be 33.9 ng/L, while gender specific values were 38.41ng/L and 15.73ng/L for males and females, respectively (p= 0.0045). CONCLUSION High sensitivity cardiac troponin I 99th percentile URL in our study population was found to be 33.9 ng/L with gender specific values being 38.41 ng/L and 15.73ng/L for males and females respectively. Troponin I in males was substantially high in comparison with females.
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Affiliation(s)
- Kulsoom Bahadur
- Kulsoom Bahadur, MBBS, FCPS. Department of Chemical Pathology and Endocrinology, Resident of Chemical Pathology, Rehman Medical Institute, Peshawar, Pakistan
| | - Aamir Ijaz
- Aamir Ijaz, MBBS, FCPS. Department of Chemical Pathology and Endocrinology, Professor and Consultant Chemical Pathology, Rehman Medical Institute, Peshawar, Pakistan
- Correspondence: Brig. Aamir Ijaz (Retd.), Professor and Consultant Chemical Pathology, Rehman Medical Institute, Peshawar, Pakistan.
| | - Momin Salahuddin
- Momin Salahuddin, MBBS, FCPS. Professor of Cardiology Department, Rehman Medical Institute, Peshawar, Pakistan
| | - Aftab Alam
- Aftab Alam, MBBS, FCPS. Assistant Professor of Cardiology Department, Rehman Medical Institute, Peshawar, Pakistan
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30
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Optimal Detection of Acute Myocardial Injury and Infarction with Cardiac Troponin: Beyond the 99th Percentile, into the High-Sensitivity Era. Curr Cardiol Rep 2020; 22:101. [PMID: 32748286 DOI: 10.1007/s11886-020-01350-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
PURPOSE OF REVIEW Cardiac troponin (cTn) is the biomarker of choice for the diagnosis of acute myocardial infarction (MI); use of this biomarker has centered around the 99th percentile upper reference limit (URL) for healthy populations. Recent development and regulatory approval of high-sensitivity cardiac troponin (hs-cTn) assays have required a fresh look at utilization of the 99th percentile URL. This review covers issues regarding the 99th percentile URL and approaches for use of cTn as biomarker for detecting cardiac injury and diagnosis of acute myocardial infarction. RECENT FINDINGS Development of hs-cTn assays has allowed determination and use of sex-specific 99th percentile URLs for assessing cardiac injury and increased the utility of cTn values below the 99th percentile URL. This improved analytical performance for hs-cTn assays has allowed for development of accelerated diagnostic protocols (ADPs) for rapid assessment and disposition of patients based on serial sampling of cTn for use in acute MI diagnosis as soon as 0-1 h after clinical presentation. The 99th percentile URLs of cTn is essential for detecting cardiac injury; however, use of the 99th percentile URLs in the era of hs-cTn results may be modified. ADPs have the potential to substantially decrease the time many patients spend under evaluation for acute MI, thereby potentiating improvement in patient satisfaction, decreased healthcare costs, and reducing the burden on emergency departments.
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31
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Starnberg K, Fridén V, Muslimovic A, Ricksten SE, Nyström S, Forsgard N, Lindahl B, Vukusic K, Sandstedt J, Dellgren G, Hammarsten O. A Possible Mechanism behind Faster Clearance and Higher Peak Concentrations of Cardiac Troponin I Compared with Troponin T in Acute Myocardial Infarction. Clin Chem 2020; 66:333-341. [PMID: 32040581 DOI: 10.1093/clinchem/hvz003] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 09/20/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Although cardiac troponin I (cTnI) and troponin T (cTnT) form a complex in the human myocardium and bind to thin filaments in the sarcomere, cTnI often reaches higher concentrations and returns to normal concentrations faster than cTnT in patients with acute myocardial infarction (MI). METHODS We compared the overall clearance of cTnT and cTnI in rats and in patients with heart failure and examined the release of cTnT and cTnI from damaged human cardiac tissue in vitro. RESULTS Ground rat heart tissue was injected into the quadriceps muscle in rats to simulate myocardial damage with a defined onset. cTnT and cTnI peaked at the same time after injection. cTnI returned to baseline concentrations after 54 h, compared with 168 h for cTnT. There was no difference in the rate of clearance of solubilized cTnT or cTnI after intravenous or intramuscular injection. Renal clearance of cTnT and cTnI was similar in 7 heart failure patients. cTnI was degraded and released faster and reached higher concentrations than cTnT when human cardiac tissue was incubated in 37°C plasma. CONCLUSION Once cTnI and cTnT are released to the circulation, there seems to be no difference in clearance. However, cTnI is degraded and released faster than cTnT from necrotic cardiac tissue. Faster degradation and release may be the main reason why cTnI reaches higher peak concentrations and returns to normal concentrations faster in patients with MI.
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Affiliation(s)
- Karin Starnberg
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Vincent Fridén
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Aida Muslimovic
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Sven-Erik Ricksten
- Department of Anesthesiology and Intensive Care Medicine, Institute of Clinical Sciences at the Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Susanne Nyström
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Niklas Forsgard
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Bertil Lindahl
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden.,Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Kristina Vukusic
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Joakim Sandstedt
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Göran Dellgren
- Department of Cardiothoracic Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden.,Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Ola Hammarsten
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
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32
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Christenson RH, Duh SH, Mullins KE, LeClair MM, Grigorov IL, Peacock WF. Analytical and clinical characterization of a novel high-sensitivity cardiac troponin assay in a United States population. Clin Biochem 2020; 83:28-36. [PMID: 32485169 DOI: 10.1016/j.clinbiochem.2020.05.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 05/13/2020] [Accepted: 05/26/2020] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cardiac troponin (cTn) is the keystone for diagnosis of acute myocardial infarction (AMI). We examined the analytical and clinical diagnostic characteristics of the ACCESS hsTnI assay in a United States (US) population. METHODS All measurements and studies were conducted using a lithium heparin matrix. Sex-specific 99th percentile upper reference limits (URLs) were determined for 1089 healthy women (54.6%) and men using non-parametric statistics. High-sensitivity (hs) performance was assessed to determine if the total CV was ≤10% at sex-specific URLs, and if ≥50% of cTnI values for each sex exceeded the assay's limit of detection (LoD). Precision, analytical measurement range, high-dose hook effect, and endogenous/exogenous interferences were examined with CLSI guidance. Clinical characterization included serial sampling of 1854 suspected AMI subjects presenting to 14 US Emergency Departments. AMI was adjudicated by a panel of expert cardiologists. The study's only exclusion was end stage renal disease. RESULTS 99th percentile URLs were 11.6-, 19.8- and 17.5-ng/L for respective female, male and all-subject populations. Total %CV was <8% from 6.8 to 19,000 ng/L, and <6% at sex-specific 99th percentiles; ≥99% of ACCESS hsTnI values for each sex exceeded the LoD. No high-dose hook effect or endogenous/exogenous interferences were identified. A comparison of Baseline samples collected at ≤1 h and any-time after presentation, found 4% lower sensitivity for AMI than with earlier sampling. For 1-9 h post presentation, the sensitivity was >90%, specificity >85%; and negative and positive predictive value were ≥99% and >60%, respectively. CONCLUSION Analytical and clinical performance of the ACCESS hsTnI assay meets the definition of a hs cTn method. The ACCESS hsTnI assay has good precision over a wide range, no significant interferences, and sensitivity >90% and NPV ≥99%. Performance is appropriate for aiding in AMI diagnosis.
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Affiliation(s)
- Robert H Christenson
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, United States.
| | - Show-Hong Duh
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Kristin E Mullins
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Margot M LeClair
- Beckman Coulter Inc., 1000 Lake Hazeltine Dr, Chaska, MN, United States
| | - Ilya L Grigorov
- Beckman Coulter Inc., 1000 Lake Hazeltine Dr, Chaska, MN, United States
| | - W Frank Peacock
- Department of Emergency Medicine, Baylor College of Medicine, Houston, TX, United States
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33
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Abstract
Emergence of various highly sensitive cardiac troponin assays into clinical practice provides a new tool for clinicians diagnosing acute coronary syndrome. These assays also create a challenge for laboratories and clinicians who have yet to familiarize themselves with sex-specific cutoffs. Healthy men and women, studied across various age groups and geographic locations, have notable differences in baseline values of highly sensitive cardiac troponin I and T, leading to establishment of sex-specific upper reference limits and cutoffs. Several differences in cardiac physiology, size, and structure may account for baseline differences in highly sensitive cardiac troponins and outcomes between the sexes. The clinical utility of implementing sex-specific cutoffs for diagnosis and management of acute coronary syndrome remains unclear. Presently, the only prospective study failed to show improved outcomes for men or women with use of sex-specific cutoffs; however, a major limitation is the frequent lack of diagnostic, therapeutic, and preventive interventions prescribed to women with low-level troponin elevations. Based on the current literature, we posit that there may nonetheless be clinical value in the use of sex-specific cutoffs for evaluating suspected acute coronary syndrome, especially in select patient populations such as younger women who tend to have lower baseline values of highly sensitive cardiac troponins. Future studies should prospectively evaluate differences in diagnostic, pharmacologic, and interventional management in men and women using myocardial infarctions classified with sex-specific cutoffs of the highly sensitive cardiac troponin assays.
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Affiliation(s)
- Prerana M. Bhatia
- Division of Cardiovascular MedicineDepartment of MedicineUniversity of CaliforniaSan Diego
| | - Lori B. Daniels
- Division of Cardiovascular MedicineDepartment of MedicineUniversity of CaliforniaSan Diego
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Giannitsis E, Mueller-Hennessen M, Zeller T, Schuebler A, Aurich M, Biener M, Vafaie M, Stoyanov KM, Ochs M, Riffel J, Mereles D, Blankenberg S, Katus HA. Gender-specific reference values for high-sensitivity cardiac troponin T and I in well-phenotyped healthy individuals and validity of high-sensitivity assay designation. Clin Biochem 2020; 78:18-24. [DOI: 10.1016/j.clinbiochem.2019.11.013] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 11/07/2019] [Accepted: 11/26/2019] [Indexed: 01/15/2023]
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35
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Giannitsis E, Mueller C, Katus HA. Skeletal myopathies as a non-cardiac cause of elevations of cardiac troponin concentrations. ACTA ACUST UNITED AC 2020; 6:189-201. [PMID: 31271552 DOI: 10.1515/dx-2019-0045] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 06/13/2019] [Indexed: 12/15/2022]
Abstract
Skeletal myopathies have been suggested as a non-cardiac cause of elevations of cardiac troponin (cTn), particularly cardiac troponin T (cTnT). This is of major clinical relevance and concern as cTn plays a major role in the early diagnosis of myocardial infarction (MI). While both the incidence as well as the true pathophysiology (cardiac versus non-cardiac) underlying elevations in cTn in skeletal myopathies remain largely unknown, re-expression of cTnT in regenerating adult skeletal muscle has been suggested as a possible contributor. However, unequivocal protein characterization in skeletal muscle and quantification of the relative amounts of this possible signal versus the cTn signal derived from true cardiomyocyte injury remains elusive. Alternatively, minor cross-reactivity of the cTnT (and possibly at times also cTnI) detection and capture antibodies used in current monoclonal immunoassays with the skeletal troponin T or I isoform may be considered. Both would represent "false positive" elevations from a clinical perspective and would need to be reliably differentiated from "true positive elevations" from subclinical cardiomyocyte injury not detectable by currently available imaging techniques such as echocardiography and contrast enhanced magnetic resonance imaging (MRI), which have at least a 5 times lower sensitivity for cardiomyocyte injury. This review aims to explore the currently available data, its methodological limitations and provide guidance to clinicians to avoid misinterpretation of cTn concentrations.
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Affiliation(s)
| | - Christian Mueller
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland
| | - Hugo A Katus
- Medizinische Klinik III, University of Heidelberg, Heidelberg, Germany
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It Will Take More Than Better Diagnostics to Improve the Care of Women With ACS. J Am Coll Cardiol 2019; 74:2044-2046. [DOI: 10.1016/j.jacc.2019.08.1012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 08/13/2019] [Indexed: 11/19/2022]
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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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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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41
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Zeljkovic I, Knecht S, Spies F, Reichlin T, Schaer B, Osswald S, Kühne M, Sticherling C. High-sensitivity cardiac Troponin T delta concentration after repeat pulmonary vein isolation. Biochem Med (Zagreb) 2019; 29:020902. [PMID: 31223266 PMCID: PMC6559612 DOI: 10.11613/bm.2019.020902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 04/23/2019] [Indexed: 11/25/2022] Open
Abstract
Introduction Difference between high-sensitivity cardiac troponin T concentrations (hs-cTnT) before and after ablation procedure (delta concentration) reflects the amount of myocardial injury. The aim of the study was to investigate hs-cTnT prognostic power for predicting atrial fibrillation (AF) recurrence after repeat pulmonary vein isolation (PVI) procedure. Materials and methods Consecutive patients with paroxysmal AF undergoing repeat PVI using a focal radiofrequency catheter were included in the study. Hs-cTnT was measured before and 18-24 hours after the procedure. Standardized 3, 6 and 12-month follow-up was performed. Cox-regression analysis was used to identify predictors of AF recurrence. Results A total of 105 patients undergoing repeat PVI were analysed (24% female, median age 61 years). Median (interquartile range) hs-cTnT delta after repeat PVI was 283 (127 - 489) ng/L. After a median follow-up of 12 months, AF recurred in 24 (23%) patients. A weak linear relationship between the total radiofrequency energy delivery time and delta hs-cTnT was observed (Pearson R2 = 0.31, P = 0.030). Delta Hs-cTnT was not identified as a significant long-term predictor of AF recurrence after repeated PVI (P = 0.920). Conclusion This was the first study evaluating the prognostic power of delta hs-cTnT in predicting AF recurrence after repeat PVI. Delta hs-cTnT does not predict AF recurrence after repeat PVI procedures. Systematic measurement of hs-cTnT after repeat PVI does not add information relevant to outcome.
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Affiliation(s)
- Ivan Zeljkovic
- Cardiology Department, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Sven Knecht
- Cardiology Department, University Hospital Basel, University of Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, Basel, Switzerland
| | - Florian Spies
- Cardiology Department, University Hospital Basel, University of Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, Basel, Switzerland
| | - Tobias Reichlin
- Cardiology Department, University Hospital Basel, University of Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, Basel, Switzerland
| | - Beat Schaer
- Cardiology Department, University Hospital Basel, University of Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, Basel, Switzerland
| | - Stefan Osswald
- Cardiology Department, University Hospital Basel, University of Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, Basel, Switzerland
| | - Michael Kühne
- Cardiology Department, University Hospital Basel, University of Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, Basel, Switzerland
| | - Christian Sticherling
- Cardiology Department, University Hospital Basel, University of Basel, Basel, Switzerland.,Cardiovascular Research Institute Basel, Basel, Switzerland
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42
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Christ M, Geier F, Blaschke S, Giannitsis E, Khellaf M, Mair J, Pariente D, Scharnhorst V, Semjonow V, Hausfater P. Clinical performance of a new point-of-care cardiac troponin I test. Clin Chem Lab Med 2019; 56:1336-1344. [PMID: 29630502 DOI: 10.1515/cclm-2017-0693] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2017] [Accepted: 02/06/2018] [Indexed: 11/15/2022]
Abstract
BACKGROUND We evaluated the clinical performance of the Minicare cardiac troponin-I (cTnI), a new point-of-care (POC) cTnI test for the diagnosis of acute myocardial infarction (AMI) in a prospective, multicentre study (ISRCTN77371338). METHODS Of 474 patients (≥18 years) admitted to an emergency department (ED) or chest pain unit (CPU) with symptoms suggestive of acute coronary syndrome (ACS; ≤12 h from symptom onset), 465 were eligible. Minicare cTnI was tested immediately, 3 h and 6 h after presentation. AMI diagnoses were adjudicated independently based on current guidelines. RESULTS The diagnostic performance of the Minicare cTnI test at 3 h was similar for whole blood and in plasma: sensitivity 0.92 vs. 0.90; specificity 0.91 vs. 0.90; positive predictive value (PPV) 0.68 vs. 0.66; negative predictive value (NPV) 0.98 vs. 0.98; positive likelihood ratio (LR+) 10.18 vs. 9.41; negative likelihood ratio (LR-) 0.09 vs. 0.11. The optimal diagnostic performance was obtained at 3 h using cut-offs cTnI >43 ng/L plus cTnI change from admission ≥18.5 ng/L: sensitivity 0.90, specificity 0.96, PPV 0.81, NPV 0.98, and LR+ 21.54. The area under the receiver operating characteristics (ROC) curve for cTnI whole blood baseline value and absolute change after 3 h curve was 0.93. CONCLUSIONS These data support the clinical usefulness of Minicare cTnI within a 0 h/3 h-blood sampling protocol supported by current guidelines for the evaluation of suspected ACS.
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Affiliation(s)
- Michael Christ
- Department of Emergency and Critical Care Medicine, Paracelsus Medical University, Nuernberg General Hospital, Nuernberg, Germany.,Department of Emergency, Luzerner Kantonsspital, Luzern, Switzerland
| | - Felicitas Geier
- Department of Emergency and Critical Care Medicine, Paracelsus Medical University, Nuernberg General Hospital, Nuernberg, Germany
| | - Sabine Blaschke
- Interdisciplinary Emergency Care Unit, University Medical Center Göttingen, Göttingen, Germany
| | | | - Mehdi Khellaf
- Emergency Department, Hôpital Henri Mondor, Créteil, France
| | - Johannes Mair
- Department of Internal Medicine III - Cardiology and Angiology, Innsbruck Medical University, Innsbruck, Austria
| | - David Pariente
- Emergency Department, Hôpital Pitié-Salpêtrière, AP-HP, Paris, France
| | - Volkher Scharnhorst
- Clinical Laboratory, Catharina Ziekenhuis Eindhoven and Technical University Eindhoven, Eindhoven, TheNetherlands
| | | | - Pierre Hausfater
- Emergency Department, Hôpital Pitié-Salpêtrière, AP-HP, Paris, France.,Sorbonne Universités UPMC Univ-Paris 06, GRC-UPMC BIOSFAST, Paris, France
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43
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Ramos HR, López LE, Castro WQ, Serra CMJ. High-sensitivity cardiac troponins: sex-specific values in clinical practice. Precision or confusion? Hellenic J Cardiol 2019; 60:171-177. [DOI: 10.1016/j.hjc.2019.02.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 02/04/2019] [Accepted: 02/27/2019] [Indexed: 02/06/2023] Open
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44
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Monneret D, Gellerstedt M, Bonnefont-Rousselot D. Determination of age- and sex-specific 99th percentiles for high-sensitive troponin T from patients: an analytical imprecision- and partitioning-based approach. Clin Chem Lab Med 2019; 56:818-829. [PMID: 29176015 DOI: 10.1515/cclm-2017-0256] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Accepted: 10/10/2017] [Indexed: 01/10/2023]
Abstract
BACKGROUND Detection of acute myocardial infarction (AMI) is mainly based on a rise of cardiac troponin with at least one value above the 99th percentile upper reference limit (99th URL). However, circulating high-sensitive cardiac troponin T (hs-cTnT) concentrations depend on age, sex and renal function. Using an analytical imprecision-based approach, we aimed to determine age- and sex-specific hs-cTnT 99th URLs for patients without chronic kidney disease (CKD). METHODS A 3.8-year retrospective analysis of a hospital laboratory database allowed the selection of adult patients with concomitant plasma hs-cTnT (<300 ng/L) and creatinine concentrations, both assayed twice within 72 h with at least 3 h between measurements. Absence of AMI was assumed when the variation between serial hs-cTnT values was below the adjusted-analytical change limit calculated according to the inverse polynomial regression of analytical imprecision. Specific URLs were determined using Clinical and Laboratory Standards Institute (CLSI) methods, and partitioning was tested using the proportion method, after adjustment for unequal prevalences. RESULTS After outlier removal (men: 8.7%; women: 6.6%), 1414 men and 1082 women with estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m2 were assumed as non-AMI. Partitioning into age groups of 18-50, 51-70 and 71-98 years, the hs-cTnT 99th URLs adjusted on French prevalence were 18, 33, 66 and 16, 30, 84 ng/L for men and women, respectively. Age-partitioning was clearly required. However, sex-partitioning was not justified for subjects aged 18-50 and 51-70 years for whom a common hs-cTnT 99th URLs of about 17 and 31 ng/L could be used. CONCLUSIONS Based on a laboratory approach, this study supports the need for age-specific hs-cTnT 99th URLs.
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Affiliation(s)
- Denis Monneret
- Department of Metabolic Biochemistry, La Pitié Salpêtrière-Charles Foix University Hospital (AP-HP), Paris, France
| | - Martin Gellerstedt
- Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, SSORG-Scandinavian Surgical Outcomes Research Group, Sahlgrenska University Hospital/Östra, Gothenburg, Sweden.,School of Business, Economics and IT, University West, Göteborg, Sweden
| | - Dominique Bonnefont-Rousselot
- Department of Metabolic Biochemistry, La Pitié Salpêtrière-Charles Foix University Hospital (AP-HP), Paris, France.,Faculty of Pharmacy, Department of Biochemistry, Paris Descartes University, Paris, France.,CNRS UMR8258 - INSERM U1022, Faculty of Pharmacy, Paris Descartes University, Paris, France
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45
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Monneret D, Gellerstedt M, Roche F, Bonnefont-Rousselot D. Outlier removal methods for skewed data: impact on age-specific high-sensitive cardiac troponin T 99th percentiles. ACTA ACUST UNITED AC 2019; 57:e244-e247. [PMID: 30860976 DOI: 10.1515/cclm-2018-1366] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Accepted: 02/15/2019] [Indexed: 11/15/2022]
Affiliation(s)
- Denis Monneret
- Department of Biochemistry and Molecular Biology, South Lyon Hospital Group, Hospices Civils de Lyon (HCL), 165 Chemin du Grand Revoyet, 69495 Pierre-Bénite, France
| | | | - Frédéric Roche
- Department of Clinical and Exercise Physiology, University Hospital of Saint-Etienne, Saint-Etienne, France
- EA 4607 SNA-EPIS, PRES Lyon, Saint-Etienne, France
| | - Dominique Bonnefont-Rousselot
- Department of Metabolic Biochemistry, La Pitié Salpêtrière-Charles Foix University Hospital (AP-HP), Paris, France
- CNRS UMR8258 - INSERM U1022, Faculty of Pharmacy, Sorbonne Paris Cité, Paris Descartes University, Paris, France
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46
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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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47
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Tevaearai Stahel HT, Do PD, Klaus JB, Gahl B, Locca D, Göber V, Carrel TP. Clinical Relevance of Troponin T Profile Following Cardiac Surgery. Front Cardiovasc Med 2018; 5:182. [PMID: 30619889 PMCID: PMC6301188 DOI: 10.3389/fcvm.2018.00182] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Accepted: 12/03/2018] [Indexed: 11/13/2022] Open
Abstract
Background: Peak post-operative cardiac troponin T (cTnT) independently predicts mid- and long-term outcome of cardiac surgery patients. A few studies however have reported two peaks of cTnT over the first 48–72 h following myocardial reperfusion. The aim of the current study was to better understand underlying reasons of these different cTnT profiles and their possible relevance in terms of clinical outcome. Methods: All consecutive adult cardiac surgical procedures performed with an extra-corporeal circulation during a >6 years period were retrospectively evaluated. Patients with a myocardial infarction (MI) < 8 days were excluded. cTnT profile of patients with at least one value ≥1 ng/mL value were categorized according to the time occurrence of the peak value. Univariable and multivariable analysis were performed to identify factors influencing early vs. late increase of cTnT values, and to verify the correlation of early vs. late increase with clinical outcome. Results: Data of 5,146 patients were retrieved from our prospectively managed registry. From 953 with at least one cTnT value ≥1 ng/mL, peak occurred ≤ 6 h (n = 22), >6 to ≤ 12 h (n = 366), >12 to ≤ 18 h (n = 176), >18 to ≤ 24 h (171), >24 h (218). Age (OR: 1.023; CI: 1.016–1.030) and isolated CABG (OR: 1.779; CI: 1.114–2.839) were independent predictors of a late increase of cTnT over a limit of 1 ng/ml (p < 0.05), whereas isolated valve procedures (OR: 0.685; CI: 0.471–0.998) and cross-clamp duration (OR: 0.993; CI: 0.990–0.997) independently predicted an early elevation (p < 0.05). Delayed elevation as opposed to early elevation correlated with a higher rate of post-operative complications including MI (19.8 vs. 7.2%), new renal insufficiency (16.3 vs. 6.7%), MACCE (32.0 vs. 15.5%), or death (7.4 vs. 4.4%). Conclusion: Profile of cTnT elevation following cardiac surgery depends on patients' intrinsic factors, type of surgery and duration of cross-clamp time. Delayed increase is of higher clinically relevance than prompt post-operative elevation.
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Affiliation(s)
- Hendrik T Tevaearai Stahel
- Department of Cardiovascular Surgery, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Peter D Do
- Department of Cardiovascular Surgery, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Jeremias Bendicht Klaus
- Institute of Radiology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Brigitta Gahl
- Department of Cardiovascular Surgery, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Didier Locca
- Department of Cardiology, Barts Heart Center, Barts Health NHS Trust, London, United Kingdom.,William Harvey Institute, Queen Mary University London, United Kingdom
| | - Volkhard Göber
- Department of Cardiovascular Surgery, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Thierry P Carrel
- Department of Cardiovascular Surgery, Bern University Hospital and University of Bern, Bern, Switzerland
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48
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Wildi K, Boeddinghaus J, Nestelberger T, Twerenbold R, Badertscher P, Wussler D, Giménez MR, Puelacher C, du Fay de Lavallaz J, Dietsche S, Walter J, Kozhuharov N, Morawiec B, Miró Ò, Javier Martin-Sanchez F, Subramaniam S, Geigy N, Keller DI, Reichlin T, Mueller C. Comparison of fourteen rule-out strategies for acute myocardial infarction. Int J Cardiol 2018; 283:41-47. [PMID: 30545622 DOI: 10.1016/j.ijcard.2018.11.140] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 10/10/2018] [Accepted: 11/30/2018] [Indexed: 11/18/2022]
Abstract
BACKGROUND The clinical availability of high-sensitivity cardiac troponin (hs-cTn) has enabled the development of several innovative strategies for the rapid rule-out of acute myocardial infarction (AMI). Due to the lack of direct comparisons, selection of the best strategy for clinical practice is challenging. METHODS In a prospective international multicenter diagnostic study enrolling 3696 patients presenting with suspected AMI to the emergency department, we compared the safety and efficacy of 14 different hs-cTn-based strategies: hs-cTn concentrations below the limit of detection (LoD), dual-marker combining hs-cTn with copeptin, ESC 0 h/1 h-algorithm, 0 h/2 h-algorithm, 2 h-ADP-algorithm, NICE-algorithm, and ESC 0 h/3 h-algorithm, each using either hs-cTnT or hs-cTnI. The final diagnosis of AMI was adjudicated by two independent cardiologists using all available clinical information including cardiac imaging and serial hs-cTn concentrations. RESULTS AMI was the final diagnosis in 16% of patients. Using hs-cTnT, safety quantified by the negative predictive value (NPV) and sensitivity was very high (99.8-100% and 99.5-100%) and comparable for all strategies, except the dual-marker approach (NPV 98.7%, sensitivity 96.7%). Similarly, using hs-cTnI, safety quantified by the NPV and sensitivity was very high (99.7-100% and 98.9-100%) and comparable for all strategies, except the dual-marker approach (NPV 96.9%, sensitivity 90.4%) and the NICE-algorithm (NPV 99.1%, sensitivity 94.7%). Efficacy, quantified by the percentage of patients eligible for rule-out, differed markedly, and was lowest for LoD-algorithm (15.7-26.8%). CONCLUSION All rapid rule-out algorithms, except the dual-marker strategy and the NICE-algorithm using hs-cTnI, favorably combine safety and efficacy, and can be considered for routine clinical practice. CLINICAL TRIAL REGISTRATION NCT00470587, http://clinicaltrials.gov/show/NCT00470587.
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Affiliation(s)
- Karin Wildi
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT network; Critical Care Research Group, The Prince Charles Hospital, Brisbane, Australia
| | - Jasper Boeddinghaus
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT network; Department of Internal Medicine, University Hospital Basel, University of Basel, Switzerland
| | - Thomas Nestelberger
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT network; Department of Internal Medicine, University Hospital Basel, University of Basel, Switzerland
| | - Raphael Twerenbold
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT network; Department of General and Interventional Cardiology, Hamburg University Heart Center, Hamburg, Germany
| | - Patrick Badertscher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT network
| | - Desiree Wussler
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT network; Department of Internal Medicine, University Hospital Basel, University of Basel, Switzerland
| | - Maria Rubini Giménez
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT network
| | - Christian Puelacher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT network; Department of Internal Medicine, University Hospital Basel, University of Basel, Switzerland
| | - Jeanne du Fay de Lavallaz
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT network; Department of Internal Medicine, University Hospital Basel, University of Basel, Switzerland
| | - Sebastian Dietsche
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT network
| | - Joan Walter
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT network; Department of Internal Medicine, University Hospital Basel, University of Basel, Switzerland
| | - Nikola Kozhuharov
- GREAT network; Department of Internal Medicine, University Hospital Basel, University of Basel, Switzerland
| | - Beata Morawiec
- GREAT network; 2nd Department of Cardiology, School of Medicine with the Division of Dentistry, Zabrze, Medical University of Katowice, Poland
| | - Òscar Miró
- GREAT network; Emergency Department, Hospital Clinic, Barcelona, Catalonia, Spain
| | | | - Sinthuri Subramaniam
- GREAT network; Department of Internal Medicine, University Hospital Basel, University of Basel, Switzerland
| | - Nicolas Geigy
- Emergency Department, Kantonsspital 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, Switzerland; GREAT network
| | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland; GREAT network.
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49
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Sandoval Y, Sharain K, Saenger AK, Smith SW, Apple FS, Jaffe AS. Clinical use of cardiac troponin for acute cardiac care and emerging opportunities in the outpatient setting. Minerva Med 2018; 110:139-156. [PMID: 30484592 DOI: 10.23736/s0026-4806.18.05874-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Cardiac troponin (cTn) testing has evolved significantly in recent times. Because of increased sensitivity, its use has shifted from a marker used to help diagnose acute myocardial infarction (MI) to a marker than can be used in the outpatient setting, as well as for both detection of myocardial injury and risk-stratification. Its main role remains in the diagnosis of acute MI and the risk-stratification of patients presenting with suspected acute coronary syndrome. The analytical improvements in assays leading to precise high-sensitivity cTn assays have contributed to the development of numerous strategies to identify patients at both low- and high-risk for acute MI within a few hours. These approaches should reduce overcrowding in the emergency room and expedite triaging. The ability of measuring cTn in most patients using high-sensitivity (hs) assays has allowed for the opportunity to examine its use in the detection of cardiotoxicity in patients undergoing chemotherapy, as well as exploring the application in both primary and secondary prevention of coronary artery disease. This particular field of research has become increasingly complex, partly due to the numerous cTn assays available (I and T; point-of-care, contemporary, hs) and an array of approaches in which one can use the test. The purpose of this document is to summarize the analytical and clinical information relevant to cTn assays, in particular, hs-cTn assays, and describe present and future opportunities for use of cTn in acute cardiac care and in the outpatient setting.
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Affiliation(s)
- Yader Sandoval
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA -
| | - Korosh Sharain
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Amy K Saenger
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.,Department of Laboratory Medicine and Pathology, Hennepin County Medical Center, Minneapolis, MN, USA
| | - Stephen W Smith
- Department of Emergency Medicine, Hennepin County Medical Center and University of Minnesota, Minneapolis, MN, USA
| | - Fred S Apple
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.,Department of Laboratory Medicine and Pathology, Hennepin County Medical Center, Minneapolis, MN, USA
| | - Allan S Jaffe
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.,Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
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50
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Mueller D, Puelacher C, Honegger U, Walter JE, Badertscher P, Schaerli N, Strebel I, Twerenbold R, Boeddinghaus J, Nestelberger T, Hollenstein C, du Fay de Lavallaz J, Jeger R, Kaiser C, Wild D, Rentsch K, Buser A, Zellweger M, Reichlin T, Mueller C. Direct Comparison of Cardiac Troponin T and I Using a Uniform and a Sex-Specific Approach in the Detection of Functionally Relevant Coronary Artery Disease. Clin Chem 2018; 64:1596-1606. [DOI: 10.1373/clinchem.2018.286971] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 07/17/2018] [Indexed: 12/29/2022]
Abstract
Abstract
BACKGROUND
We aimed to directly compare high-sensitivity cardiac troponin I (hs-cTnI) and high-sensitivity cardiac troponin T (hs-cTnT) in the detection of functionally relevant coronary artery disease (fCAD).
METHODS
Consecutive patients referred with clinical suspicion of fCAD and no structural heart disease other than coronary artery disease were included. The presence of fCAD was based on rest/stress myocardial perfusion single-photon emission computed tomography/computed tomography and coronary angiography. hs-cTnI and hs-cTnT concentrations were measured in a blinded fashion. Diagnostic accuracy was quantified using the area under the ROC curve (AUC) and evaluated both for uniform use in all patients and for sex-specific use in women and men separately. The prognostic end point was major adverse cardiac events (MACEs; cardiovascular death or myocardial infarction) within 2 years. For the prognostic performance, we used a multivariable model comparison with the Akaike information criterion (AIC).
RESULTS
fCAD was detected in 613 of 2062 patients (29.7%) overall, 112 of 664 of women (16.9%), and 501 of 1398 of men (35.8%). hs-cTnI and hs-cTnT had comparable diagnostic accuracy when assessed for uniform use in all patients (AUC, 0.68 vs 0.66; P = 0.107) and separately in women (AUC, 0.68 vs 0.63; P = 0.068) and men (AUC, 0.65 vs 0.64; P = 0.475). However, women required lower rule-out cutoffs to achieve high sensitivity, and men needed higher rule-in cutoffs to achieve high specificity. hs-cTnI and hs-cTnT were strongly and independently associated with MACE within 2 years (P < 0.001), with comparable prognostic accuracies by the AIC.
CONCLUSIONS
hs-cTnI and hs-cTnT provide moderate and comparable diagnostic accuracy. Sex-specific cutoffs may be preferred. The prognostic utility of both troponins is comparable.
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Affiliation(s)
- Deborah Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Christian Puelacher
- 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
| | - Ursina Honegger
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Joan E Walter
- 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
| | - Patrick Badertscher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Nicolas Schaerli
- 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
| | - Ivo Strebel
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, 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
- Department of General and Interventional Cardiology, University Heart Center Hamburg, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Jasper Boeddinghaus
- 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
| | - Thomas Nestelberger
- 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
| | - Christina Hollenstein
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, 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
| | - Raban Jeger
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Christoph Kaiser
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Damian Wild
- Division of Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Katharina Rentsch
- Department of Laboratory Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Andreas Buser
- Department of Hematology and Blood Bank, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Michael Zellweger
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Tobias Reichlin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
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