1
|
Wang KL, Taggart C, McDermott M, O'Brien R, Oatey K, Keating L, Storey RF, Felmeden D, Curzen N, Kardos A, Roobottom C, Smith J, Goodacre S, Newby DE, Gray AJ. Clinical decision aids and computed tomography coronary angiography in patients with suspected acute coronary syndrome. Emerg Med J 2024; 41:488-494. [PMID: 38857986 DOI: 10.1136/emermed-2024-213904] [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: 01/11/2024] [Accepted: 05/16/2024] [Indexed: 06/12/2024]
Abstract
BACKGROUND The HEART score, the T-MACS model and the GRACE score support early decision-making for acute chest pain, which could be complemented by CT coronary angiography (CTCA). However, their performance has not been directly compared. METHODS In this secondary analysis of a multicentre randomised controlled trial of early CTCA in intermediate-risk patients with suspected acute coronary syndrome, C-statistics and performance metrics (using the predefined cut-offs) of clinical decision aids and CTCA, alone and then in combination, for the index hospital diagnosis of acute coronary syndrome and for 30-day coronary revascularisation were assessed in those who underwent CTCA and had complete data. RESULTS Among 699 patients, 358 (51%) had an index hospital diagnosis of acute coronary syndrome, for which the C-statistic was higher for CTCA (0.80), followed by the T-MACS model (0.78), the HEART score (0.74) and the GRACE score (0.60). The negative predictive value was higher for the absence of coronary artery disease on CTCA (0.90) or a T-MACS estimate of <0.05 (0.83) than a HEART score of <4 (0.81) and a GRACE score of <109 (0.55). For 30-day coronary revascularisation, CTCA had the greatest C-statistic (0.80) with a negative predictive value of 0.96 and 0.92 in the absence of coronary artery disease and obstructive coronary artery disease, respectively. The combination of the T-MACS estimates and the CTCA findings was most discriminative for the index hospital diagnosis of acute coronary syndrome (C-statistic, 0.88) and predictive of 30-day coronary revascularisation (C-statistic, 0.85). No patients with a T-MACS estimate of <0.05 and normal coronary arteries had acute coronary syndrome during index hospitalisation or underwent coronary revascularisation within 30 days. CONCLUSIONS In intermediate-risk patients with suspected acute coronary syndrome, the T-MACS model combined with CTCA improved discrimination of the index hospital diagnosis of acute coronary syndrome and prediction of 30-day coronary revascularisation. TRIAL REGISTRATION NUMBER NCT02284191.
Collapse
Affiliation(s)
- Kang-Ling Wang
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- General Clinical Research Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Caelan Taggart
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- Department of Cardiology, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Michael McDermott
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Rachel O'Brien
- EMERGE (Emergency Medicine Research Group, Edinburgh), Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Katherine Oatey
- Edinburgh Clinical Trials Unit, University of Edinburgh, Edinburgh, UK
| | - Liza Keating
- Department of Emergency Medicine, Royal Berkshire NHS Foundation Trust, Reading, UK
| | - Robert F Storey
- Division of Clinical Medicine, University of Sheffield, Sheffield, UK
- NIHR Sheffield Biomedical Research Centre, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Dirk Felmeden
- Department of Cardiology, Torbay and South Devon NHS Foundation Trust, Torquay, UK
| | - Nick Curzen
- Faculty of Medicine, University of Southampton, Southampton, UK
- Department of Cardiology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Attila Kardos
- TCRG (Translational Cardiovascular Research Group), Milton Keynes University Hospital NHS Foundation Trust, Milton Keynes, UK
| | - Carl Roobottom
- Department of Radiology, University Hospitals Plymouth NHS Trust, Plymouth, UK
| | - Jason Smith
- Emergency Department, University Hospitals Plymouth NHS Trust, Plymouth, UK
| | - Steve Goodacre
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - David E Newby
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Alasdair J Gray
- EMERGE (Emergency Medicine Research Group, Edinburgh), Royal Infirmary of Edinburgh, Edinburgh, UK
- Usher Institute, University of Edinburgh, Edinburgh, UK
| |
Collapse
|
2
|
Młynarska E, Czarnik W, Fularski P, Hajdys J, Majchrowicz G, Stabrawa M, Rysz J, Franczyk B. From Atherosclerotic Plaque to Myocardial Infarction-The Leading Cause of Coronary Artery Occlusion. Int J Mol Sci 2024; 25:7295. [PMID: 39000400 PMCID: PMC11242737 DOI: 10.3390/ijms25137295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/30/2024] [Accepted: 07/01/2024] [Indexed: 07/16/2024] Open
Abstract
Cardiovascular disease (CVD) constitutes the most common cause of death worldwide. In Europe alone, approximately 4 million people die annually due to CVD. The leading component of CVD leading to mortality is myocardial infarction (MI). MI is classified into several types. Type 1 is associated with atherosclerosis, type 2 results from inadequate oxygen supply to cardiomyocytes, type 3 is defined as sudden cardiac death, while types 4 and 5 are associated with procedures such as percutaneous coronary intervention and coronary artery bypass grafting, respectively. Of particular note is type 1, which is also the most frequently occurring form of MI. Factors predisposing to its occurrence include, among others, high levels of low-density lipoprotein cholesterol (LDL-C) in the blood, cigarette smoking, chronic kidney disease (CKD), diabetes mellitus (DM), hypertension, and familial hypercholesterolaemia (FH). The primary objective of this review is to elucidate the issues with regard to type 1 MI. Our paper delves into, amidst other aspects, its pathogenesis, risk assessment, diagnosis, pharmacotherapy, and interventional treatment options in both acute and long-term conditions.
Collapse
Affiliation(s)
- Ewelina Młynarska
- Department of Nephrocardiology, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
| | - Witold Czarnik
- Department of Nephrocardiology, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
| | - Piotr Fularski
- Department of Nephrocardiology, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
| | - Joanna Hajdys
- Department of Nephrocardiology, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
| | - Gabriela Majchrowicz
- Department of Nephrocardiology, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
| | - Magdalena Stabrawa
- Department of Nephrocardiology, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
| | - Jacek Rysz
- Department of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
| | - Beata Franczyk
- Department of Nephrocardiology, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
| |
Collapse
|
3
|
Lopez-Ayala P, Boeddinghaus J, Nestelberger T, Koechlin L, Zimmermann T, Bima P, Glaeser J, Spagnuolo CC, Champetier A, Miro O, Martin-Sanchez FJ, Keller DI, Christ M, Wildi K, Breidthardt T, Strebel I, Mueller C. External validation of the myocardial-ischaemic-injury-index machine learning algorithm for the early diagnosis of myocardial infarction: a multicentre cohort study. Lancet Digit Health 2024; 6:e480-e488. [PMID: 38906613 DOI: 10.1016/s2589-7500(24)00088-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 04/18/2024] [Accepted: 04/22/2024] [Indexed: 06/23/2024]
Abstract
BACKGROUND The myocardial-ischaemic-injury-index (MI3) is a novel machine learning algorithm for the early diagnosis of type 1 non-ST-segment elevation myocardial infarction (NSTEMI). The performance of MI3, both when using early serial blood draws (eg, at 1 h or 2 h) and in direct comparison with guideline-recommended algorithms, remains unknown. Our aim was to externally validate MI3 and compare its performance with that of the European Society of Cardiology (ESC) 0/1h-algorithm. METHODS In this secondary analysis of a multicentre international diagnostic cohort study, adult patients (age >18 years) presenting to the emergency department with symptoms suggestive of myocardial infarction were prospectively enrolled from April 21, 2006, to Feb 27, 2019 in 12 centres from five European countries (Switzerland, Spain, Italy, Poland, and Czech Republic). Patients were excluded if they presented with ST-segment-elevation myocardial infarction, did not have at least two serial high-sensitivity cardiac troponin I (hs-cTnI) measurements, or if the final diagnosis remained unclear. The final diagnosis was centrally adjudicated by two independent cardiologists using all available medical records, including serial hs-cTnI measurements and cardiac imaging. The primary outcome was type 1 NSTEMI. The performance of MI3 was directly compared with that of the ESC 0/1h-algorithm. FINDINGS Among 6487 patients, (median age 61·0 years [IQR 49·0-73·0]; 2122 [33%] female and 4365 [67%] male), 882 (13·6%) patients had type 1 NSTEMI. The median time difference between the first and second hs-cTnI measurement was 60·0 mins (IQR 57·0-70·0). MI3 performance was very good, with an area under the receiver-operating-characteristic curve of 0·961 (95% CI 0·957 to 0·965) and a good overall calibration (intercept -0·09 [-0·2 to 0·02]; slope 1·02 [0·97 to 1·08]). The originally defined MI3 score of less than 1·6 identified 4186 (64·5%) patients as low probability of having a type 1 NSTEMI (sensitivity 99·1% [95% CI 98·2 to 99·5]; negative predictive value [NPV] 99·8% [95% CI 99·6 to 99·9]) and an MI3 score of 49·7 or more identified 915 (14·1%) patients as high probability of having a type 1 NSTEMI (specificity 95·0% [94·3 to 95·5]; positive predictive value [PPV] 69·1% [66·0-72·0]). The sensitivity and NPV of the ESC 0/1h-algorithm were higher than that of MI3 (difference for sensitivity 0·88% [0·19 to 1·60], p=0·0082; difference for NPV 0·18% [0·05 to 0·32], p=0·016), and the rule-out efficacy was higher for MI3 (11% difference, p<0·0001). Specificity and PPV for MI3 were superior (difference for specificity 3·80% [3·24 to 4·36], p<0·0001; difference for PPV 7·84% [5·86 to 9·97], p<0·0001), and the rule-in efficacy was higher for the ESC 0/1h-algorithm (5·4% difference, p<0·0001). INTERPRETATION MI3 performs very well in diagnosing type 1 NSTEMI, demonstrating comparability to the ESC 0/1h-algorithm in an emergency department setting when using early serial blood draws. FUNDING Swiss National Science Foundation, Swiss Heart Foundation, the EU, the University Hospital Basel, the University of Basel, Abbott, Beckman Coulter, Roche, Idorsia, Ortho Clinical Diagnostics, Quidel, Siemens, and Singulex.
Collapse
Affiliation(s)
- Pedro Lopez-Ayala
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Association, Rome, Italy.
| | - Jasper Boeddinghaus
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Association, Rome, Italy; BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Thomas Nestelberger
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Association, Rome, Italy
| | - Luca Koechlin
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Cardiac Surgery, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Association, Rome, Italy
| | - Tobias Zimmermann
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Association, Rome, Italy
| | - Paolo Bima
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Association, Rome, Italy
| | - Jonas Glaeser
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Association, Rome, Italy
| | - Carlos C Spagnuolo
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Association, Rome, Italy
| | - Arnaud Champetier
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Association, Rome, Italy
| | - Oscar Miro
- GREAT Association, Rome, Italy; Emergency Department, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | | | | | - Michael Christ
- Department of Emergency Medicine, Luzerner Kantonsspital, Luzern, Switzerland
| | - Karin Wildi
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Tobias Breidthardt
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Association, Rome, Italy
| | - Ivo Strebel
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Association, Rome, Italy
| | - Christian Mueller
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Association, Rome, Italy.
| |
Collapse
|
4
|
Boeddinghaus J, Doudesis D, Lopez-Ayala P, Lee KK, Koechlin L, Wildi K, Nestelberger T, Borer R, Miró Ò, Martin-Sanchez FJ, Strebel I, Rubini Giménez M, Keller DI, Christ M, Bularga A, Li Z, Ferry AV, Tuck C, Anand A, Gray A, Mills NL, Mueller C. Machine Learning for Myocardial Infarction Compared With Guideline-Recommended Diagnostic Pathways. Circulation 2024; 149:1090-1101. [PMID: 38344871 DOI: 10.1161/circulationaha.123.066917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 01/16/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND Collaboration for the Diagnosis and Evaluation of Acute Coronary Syndrome (CoDE-ACS) is a validated clinical decision support tool that uses machine learning with or without serial cardiac troponin measurements at a flexible time point to calculate the probability of myocardial infarction (MI). How CoDE-ACS performs at different time points for serial measurement and compares with guideline-recommended diagnostic pathways that rely on fixed thresholds and time points is uncertain. METHODS Patients with possible MI without ST-segment-elevation were enrolled at 12 sites in 5 countries and underwent serial high-sensitivity cardiac troponin I concentration measurement at 0, 1, and 2 hours. Diagnostic performance of the CoDE-ACS model at each time point was determined for index type 1 MI and the effectiveness of previously validated low- and high-probability scores compared with guideline-recommended European Society of Cardiology (ESC) 0/1-hour, ESC 0/2-hour, and High-STEACS (High-Sensitivity Troponin in the Evaluation of Patients With Suspected Acute Coronary Syndrome) pathways. RESULTS In total, 4105 patients (mean age, 61 years [interquartile range, 50-74]; 32% women) were included, among whom 575 (14%) had type 1 MI. At presentation, CoDE-ACS identified 56% of patients as low probability, with a negative predictive value and sensitivity of 99.7% (95% CI, 99.5%-99.9%) and 99.0% (98.6%-99.2%), ruling out more patients than the ESC 0-hour and High-STEACS (25% and 35%) pathways. Incorporating a second cardiac troponin measurement, CoDE-ACS identified 65% or 68% of patients as low probability at 1 or 2 hours, for an identical negative predictive value of 99.7% (99.5%-99.9%); 19% or 18% as high probability, with a positive predictive value of 64.9% (63.5%-66.4%) and 68.8% (67.3%-70.1%); and 16% or 14% as intermediate probability. In comparison, after serial measurements, the ESC 0/1-hour, ESC 0/2-hour, and High-STEACS pathways identified 49%, 53%, and 71% of patients as low risk, with a negative predictive value of 100% (99.9%-100%), 100% (99.9%-100%), and 99.7% (99.5%-99.8%); and 20%, 19%, or 29% as high risk, with a positive predictive value of 61.5% (60.0%-63.0%), 65.8% (64.3%-67.2%), and 48.3% (46.8%-49.8%), resulting in 31%, 28%, or 0%, who require further observation in the emergency department, respectively. CONCLUSIONS CoDE-ACS performs consistently irrespective of the timing of serial cardiac troponin measurement, identifying more patients as low probability with comparable performance to guideline-recommended pathways for MI. Whether care guided by probabilities can improve the early diagnosis of MI requires prospective evaluation. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT00470587.
Collapse
Affiliation(s)
- Jasper Boeddinghaus
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology (J.B., P.L.-A., L.K., K.W., T.N., R.B., I.S., M.R.G., C.M.), University Hospital Basel, University of Basel, Switzerland
- BHF/University Centre for Cardiovascular Science (J.B., D.D., K.K.L., A.B., Z.L., A.V.F., C.T., A.A., N.L.M.), University of Edinburgh, UK
| | - Dimitrios Doudesis
- BHF/University Centre for Cardiovascular Science (J.B., D.D., K.K.L., A.B., Z.L., A.V.F., C.T., A.A., N.L.M.), University of Edinburgh, UK
- Usher Institute (D.D., K.K.L., A.G., N.L.M.), University of Edinburgh, UK
| | - Pedro Lopez-Ayala
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology (J.B., P.L.-A., L.K., K.W., T.N., R.B., I.S., M.R.G., C.M.), University Hospital Basel, University of Basel, Switzerland
| | - Kuan Ken Lee
- BHF/University Centre for Cardiovascular Science (J.B., D.D., K.K.L., A.B., Z.L., A.V.F., C.T., A.A., N.L.M.), University of Edinburgh, UK
- Usher Institute (D.D., K.K.L., A.G., N.L.M.), University of Edinburgh, UK
| | - Luca Koechlin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology (J.B., P.L.-A., L.K., K.W., T.N., R.B., I.S., M.R.G., C.M.), University Hospital Basel, University of Basel, Switzerland
- Departments of Cardiac Surgery (L.K.), University Hospital Basel, University of Basel, Switzerland
| | - Karin Wildi
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology (J.B., P.L.-A., L.K., K.W., T.N., R.B., I.S., M.R.G., C.M.), University Hospital Basel, University of Basel, Switzerland
- Intensive Care (K.W.), University Hospital Basel, University of Basel, Switzerland
| | - Thomas Nestelberger
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology (J.B., P.L.-A., L.K., K.W., T.N., R.B., I.S., M.R.G., C.M.), University Hospital Basel, University of Basel, Switzerland
| | - Raphael Borer
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology (J.B., P.L.-A., L.K., K.W., T.N., R.B., I.S., M.R.G., C.M.), University Hospital Basel, University of Basel, Switzerland
| | - Òscar Miró
- Emergency Department, Hospital Clinic, Barcelona, Catalonia, Spain (Ò.M.)
| | | | - Ivo Strebel
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology (J.B., P.L.-A., L.K., K.W., T.N., R.B., I.S., M.R.G., C.M.), University Hospital Basel, University of Basel, Switzerland
| | - Maria Rubini Giménez
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology (J.B., P.L.-A., L.K., K.W., T.N., R.B., I.S., M.R.G., C.M.), University Hospital Basel, University of Basel, Switzerland
| | - Dagmar I Keller
- Emergency Department, University Hospital Zurich, Switzerland (D.I.K.)
| | - Michael Christ
- Emergency Department, Kantonsspital Luzern, Switzerland (M.C.)
| | - Anda Bularga
- BHF/University Centre for Cardiovascular Science (J.B., D.D., K.K.L., A.B., Z.L., A.V.F., C.T., A.A., N.L.M.), University of Edinburgh, UK
| | - Ziwen Li
- BHF/University Centre for Cardiovascular Science (J.B., D.D., K.K.L., A.B., Z.L., A.V.F., C.T., A.A., N.L.M.), University of Edinburgh, UK
| | - Amy V Ferry
- BHF/University Centre for Cardiovascular Science (J.B., D.D., K.K.L., A.B., Z.L., A.V.F., C.T., A.A., N.L.M.), University of Edinburgh, UK
| | - Chris Tuck
- BHF/University Centre for Cardiovascular Science (J.B., D.D., K.K.L., A.B., Z.L., A.V.F., C.T., A.A., N.L.M.), University of Edinburgh, UK
| | - Atul Anand
- BHF/University Centre for Cardiovascular Science (J.B., D.D., K.K.L., A.B., Z.L., A.V.F., C.T., A.A., N.L.M.), University of Edinburgh, UK
| | - Alasdair Gray
- Usher Institute (D.D., K.K.L., A.G., N.L.M.), University of Edinburgh, UK
- Emergency Medicine Research Group Edinburgh, Royal Infirmary of Edinburgh, UK (A.G.)
| | - Nicholas L Mills
- BHF/University Centre for Cardiovascular Science (J.B., D.D., K.K.L., A.B., Z.L., A.V.F., C.T., A.A., N.L.M.), University of Edinburgh, UK
- Usher Institute (D.D., K.K.L., A.G., N.L.M.), University of Edinburgh, UK
| | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology (J.B., P.L.-A., L.K., K.W., T.N., R.B., I.S., M.R.G., C.M.), University Hospital Basel, University of Basel, Switzerland
| |
Collapse
|
5
|
Byrne RA, Rossello X, Coughlan JJ, Barbato E, Berry C, Chieffo A, Claeys MJ, Dan GA, Dweck MR, Galbraith M, Gilard M, Hinterbuchner L, Jankowska EA, Jüni P, Kimura T, Kunadian V, Leosdottir M, Lorusso R, Pedretti RFE, Rigopoulos AG, Rubini Gimenez M, Thiele H, Vranckx P, Wassmann S, Wenger NK, Ibanez B. 2023 ESC Guidelines for the management of acute coronary syndromes. EUROPEAN HEART JOURNAL. ACUTE CARDIOVASCULAR CARE 2024; 13:55-161. [PMID: 37740496 DOI: 10.1093/ehjacc/zuad107] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/24/2023]
|
6
|
Abstract
Rapid and accurate triage of patients presenting with chest pain to an emergency department (ED) is critical to prevent ED overcrowding and unnecessary resource use in individuals at low risk of acute myocardial infarction (AMI) and to efficiently and effectively guide patients at high risk to definite therapy. The use of biomarkers for rule-out or rule-in of suspected AMI has evolved substantially over the last several decades. Previously well-established biomarkers have been replaced by cardiac troponin (cTn). High-sensitivity cTn (hs-cTn) assays represent the newest generation of cTn assays and offer tremendous advantages, including improved sensitivity and precision. Still, implementation of these assays in the United States lags behind several other areas of the world. Within this educational review, we discuss the evolution of biomarker testing for detection of myocardial injury, address the specifics of hs-cTn assays and their recommended use within triage algorithms, and highlight potential challenges in their use. Ultimately, we focus on implementation strategies for hs-cTn assays, as they are now clearly ready for prime time.
Collapse
Affiliation(s)
| | - L Kristin Newby
- Duke Clinical Research Institute, Durham, North Carolina, USA; ,
- Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| |
Collapse
|
7
|
Tanaka A, Ishii H. Can a new biomarker complement the current diagnostic gap in the management of patients with suspected acute coronary syndrome? Int J Cardiol 2023; 393:131390. [PMID: 37769971 DOI: 10.1016/j.ijcard.2023.131390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 09/22/2023] [Indexed: 10/03/2023]
Affiliation(s)
- Akihito Tanaka
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
| | - Hideki Ishii
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan; Department of Cardiology, Gunma University Graduate School of Medicine, Maebashi, Japan
| |
Collapse
|
8
|
Byrne RA, Rossello X, Coughlan JJ, Barbato E, Berry C, Chieffo A, Claeys MJ, Dan GA, Dweck MR, Galbraith M, Gilard M, Hinterbuchner L, Jankowska EA, Jüni P, Kimura T, Kunadian V, Leosdottir M, Lorusso R, Pedretti RFE, Rigopoulos AG, Rubini Gimenez M, Thiele H, Vranckx P, Wassmann S, Wenger NK, Ibanez B. 2023 ESC Guidelines for the management of acute coronary syndromes. Eur Heart J 2023; 44:3720-3826. [PMID: 37622654 DOI: 10.1093/eurheartj/ehad191] [Citation(s) in RCA: 498] [Impact Index Per Article: 498.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/26/2023] Open
|
9
|
Koechlin L, Strebel I, Zimmermann T, Nestelberger T, Walter J, Lopez-Ayala P, Boeddinghaus J, Shrestha S, Arslani K, Stefanelli S, Reuthebuch B, Wussler D, Ratmann PD, Christ M, Badertscher P, Wildi K, Giménez MR, Gualandro DM, Miró Ò, Fuenzalida C, Martin-Sanchez FJ, Kawecki D, Bürgler F, Keller DI, Abächerli R, Reuthebuch O, Eckstein FS, Twerenbold R, Reichlin T, Mueller C. Hyperacute T Wave in the Early Diagnosis of Acute Myocardial Infarction. Ann Emerg Med 2023; 82:194-202. [PMID: 36774205 DOI: 10.1016/j.annemergmed.2022.12.003] [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: 12/24/2021] [Revised: 11/28/2022] [Accepted: 12/01/2022] [Indexed: 02/12/2023]
Abstract
STUDY OBJECTIVE The diagnostic performance of T-wave amplitudes for the detection of myocardial infarction is largely unknown. We aimed to address this knowledge gap. METHODS T-wave amplitudes were automatically measured in 12-lead ECGs of patients presenting with acute chest discomfort to the emergency department within a prospective diagnostic multicenter study. The final diagnosis was centrally adjudicated by 2 independent cardiologists. Patients with left ventricular hypertrophy, complete left bundle branch block, or paced ventricular depolarization were excluded. The performance for lead-specific 95th-percentile thresholds were reported as likelihood ratios (lr), specificity, and sensitivity. RESULTS Myocardial infarction was the final diagnosis in 445 (18%) of 2457 patients. In most leads, T-wave amplitudes tended to be greater in patients without myocardial infarction than those with myocardial infarction, and T-wave amplitude exceeding the 95th percentile had positive and negative lr close to 1 or with confidence intervals (CIs) crossing 1. The exceptions were leads III, aVR, and V1, which had positive lrs of 3.8 (95% CI, 2.7 to 5.3), 4.3 (95% CI, 3.1 to 6.0) and 2.0 (95% CI, 1.4 to 2.9), respectively. These leads normally have inverted T waves, so T-wave amplitude exceeding the 95th percentile reflects upright rather than increased-amplitude hyperacute T waves. CONCLUSION Hyperacute T waves, when defined as increased T-wave amplitude exceeding the 95th percentile, did not provide useful information in diagnosing myocardial infarction in this sample.
Collapse
Affiliation(s)
- Luca Koechlin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland; Department of Cardiac Surgery, University Hospital Basel, University of Basel, Switzerland; GREAT network
| | - Ivo Strebel
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland; GREAT network
| | - Tobias Zimmermann
- 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
| | - Joan Walter
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland; GREAT network
| | - Pedro Lopez-Ayala
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland; GREAT network
| | - Jasper Boeddinghaus
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland; GREAT network
| | - Samyut Shrestha
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland; GREAT network
| | - Ketina Arslani
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland; GREAT network
| | - Sabrina Stefanelli
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland; GREAT network
| | - Benedikt Reuthebuch
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland
| | - Desiree Wussler
- 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
| | - Paul David Ratmann
- 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
| | - Michael Christ
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland; GREAT network; Emergency Department, Kantonsspital Luzern, Switzerland
| | - Patrick Badertscher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland; GREAT network; Department of Cardiology, Medical University of South Carolina, Charleston, United States
| | - 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; University of Queensland, Brisbane, Australia
| | - Maria Rubini Giménez
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland; GREAT network; Cardiology Department, Herzzentrum Leipzig, Germany
| | - Danielle M Gualandro
- 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
| | - Carolina Fuenzalida
- 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, Poland
| | - Franz Bürgler
- Emergency Department, Kantonsspital Liestal, Switzerland
| | - Dagmar I Keller
- Emergency Department, University Hospital Zurich, Zurich, Switzerland
| | - Roger Abächerli
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland; Institute of Medical Engineering, Lucerne University of Applied Sciences and Arts, Horw, Switzerland
| | - Oliver Reuthebuch
- Department of Cardiac Surgery, University Hospital Basel, University of Basel, Switzerland
| | - Friedrich S Eckstein
- Department of Cardiac Surgery, 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
| | - Tobias Reichlin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland; GREAT network; Department of Cardiology, Inselspital, University Hospital Bern, University of Bern, Switzerland
| | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology University Hospital Basel, University of Basel, Switzerland; GREAT network.
| |
Collapse
|
10
|
O'Rielly CM, Harrison TG, Andruchow JE, Ronksley PE, Sajobi T, Robertson HL, Lorenzetti D, McRae AD. Risk Scores for Clinical Risk Stratification of Emergency Department Patients With Chest Pain but No Acute Myocardial Infarction: A Systematic Review. Can J Cardiol 2023; 39:304-310. [PMID: 36641050 DOI: 10.1016/j.cjca.2022.12.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/11/2022] [Accepted: 12/11/2022] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Chest pain is a common cause for emergency department (ED) presentations. After myocardial infarction (MI) has been ruled out by means of electrocardiography and troponin testing, decisions around anatomic or functional testing may be informed by clinical risk scores. We conducted a systematic review to synthesize evidence of the prognostic performance of chest pain risk scores among ED patients who have had MI ruled out by means of a high-sensitivity troponin assay. METHODS We queried multiple databases from inception to May 17, 2022. We included studies that quantified risk of 30-day major adverse cardiac events (MACE), at different cutoffs of clinical risk scores, among adult patients who had MI ruled out by means of a high-sensitivity troponin assay. Prognostic performance of each score was synthesized and described, but meta-analysis was not possible. RESULTS Six studies met inclusion criteria. Short-term MACE risk among patients who had MI ruled out by means of high-sensitivity cardiac troponin assays was very low. The HEART score, with a cutoff of 3 or less, predicted a very low risk of MACE among the greatest proportion of patients. Other scores had lower sensitivity or classified fewer patients as low risk. CONCLUSIONS The HEART score with a cutoff value of 3 or less accurately identified the greatest number of patients at low risk of 30-day MACE. However, MACE risk among patients who have MI ruled out by means of high-sensitivity troponin testing is sufficiently low that clinical risk stratification or noninvasive testing may be of little additional value in identifying patients with coronary disease.
Collapse
Affiliation(s)
- Connor M O'Rielly
- Department of Emergency Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Tyrone G Harrison
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - James E Andruchow
- Department of Emergency Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Paul E Ronksley
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Tolu Sajobi
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | | | - Diane Lorenzetti
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Health Sciences Library, University of Calgary, Calgary, Alberta, Canada
| | - Andrew D McRae
- Department of Emergency Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
| |
Collapse
|
11
|
Yang X, Zhang F, Chen Y, Shao X, Wang J, Zhang S, Shi G, Yang M, Wu Z, Li S, Wang Y. Value of rest 18F-FDG myocardial imaging in the diagnosis of obstructive coronary artery disease in Chinese patients with suspected unstable angina: A prospective real-world clinical study. J Nucl Cardiol 2023; 30:214-226. [PMID: 35915328 DOI: 10.1007/s12350-022-03068-4] [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: 11/15/2021] [Accepted: 06/22/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND This study aimed to determine the clinical value of rest 18F-FDG imaging in Chinese patients with non-acute chest pain, normal ECG, negative troponin, and suspected UA. METHODS 136 patients were prospectively included and underwent rest 18F-FDG PET imaging and coronary arteriography within 1 week. RESULTS Obstructive CAD was diagnosed in 71 patients, and stenosis ≥ 70% was confirmed in 130 vascular territories. At patients and vascular level, rest 18F-FDG imaging showed sensitivity of 62.0%, 47.7%, specificity of 92.3%, 94.2%, accuracy of 76.5%, 79.4%, PPV of 89.8% and 79.5%, and NPV of 69.0% and 79.4%. The AUCs were 0.771 and 0.710. Of 71 patients with obstructive CAD, rest 18F-FDG imaging showed sensitivity of 47.7% and 58.8%, specificity of 91.6% and 91.2%, accuracy of 64.8% and 80.4%, PPV of 89.9% and 76.9% and NPV of 52.8% and 81.6% in all vascular level and single-vessel disease. In patients with two- or three-vessel disease, rest 18F-FDG imaging had a diagnostic sensitivity, specificity, accuracy, PPV, and NPV of 43.8%, 93.3%, 50.5%, 97.7%, and 20.6%. The AUCs were 0.696, 0.750, and 0.685. CONCLUSION Rest 18F-FDG imaging performed certain overall diagnostic efficiency for obstructive CAD in Chinese patients with suspected UA, especially the excellent high PPV in identifying culprit ischemic territory in patients with multivessel disease.
Collapse
Affiliation(s)
- Xiaoyu Yang
- Department of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, China
| | - Feifei Zhang
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, No.185, Juqian Street, Changzhou, 213003, Jiangsu Province, China
- Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou, Jiangsu Province, China
- Medical College of Yangzhou University, Yangzhou, Jiangsu Province, China
| | - Yongjun Chen
- Department of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, China
| | - Xiaoliang Shao
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, No.185, Juqian Street, Changzhou, 213003, Jiangsu Province, China
- Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou, Jiangsu Province, China
| | - Jianfeng Wang
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, No.185, Juqian Street, Changzhou, 213003, Jiangsu Province, China
- Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou, Jiangsu Province, China
| | - Sheng Zhang
- Department of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, China
| | - Guiliang Shi
- Department of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, China
| | - Minfu Yang
- Department of Nuclear Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Zhifang Wu
- Department of Nuclear Medicine, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Sijin Li
- Department of Nuclear Medicine, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Yuetao Wang
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, No.185, Juqian Street, Changzhou, 213003, Jiangsu Province, China.
- Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou, Jiangsu Province, China.
| |
Collapse
|
12
|
Rubini Gimenez M, Boeddinghaus J, Nestelberger T, Koechlin L, López-Ayala P, Müller C. Implementation of the ESC 0 h/1 h high-sensitivity troponin algorithm for decision-making in the emergency department. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2023; 76:468-472. [PMID: 36669731 DOI: 10.1016/j.rec.2023.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 12/12/2022] [Indexed: 01/19/2023]
Abstract
Diagnosis of non-ST-segment elevation acute coronary syndromes (NSTEACS) is based on 3 cornerstones: clinical presentation, 12-lead electrocardiogram, and cardiac troponin measurement. Advances in the development of high-sensitivity cardiac troponin (hs-cTn) assays have substantially improved the detection of cardiomyocyte injury in a shorter time period, and hs-cTn has consequently been established as the gold-standard biomarker for the assessment of patients with suspected NSTEACS. The implementation of these assays in clinical practice allows a faster "rule-out", especially among low-risk patients, as well as a safer and more rapid "rule-in", with its therapeutic consequences. Current guidelines for the diagnosis of NSTEACS recommend the use of hs-cTn applied in rapid diagnostic algorithms based on serial hs-cTn sampling within the first few hours. The current work provides an overview of the use of hs-cTn for the early detection of NSTEACS.
Collapse
Affiliation(s)
- Maria Rubini Gimenez
- Department of Cardiology and internal Medicine, University Heart Center Leipzig, Leipzig, Germany; Cardiovascular Research Institute of Basel, University Hospital Basel, Basel, Switzerland.
| | - Jasper Boeddinghaus
- Cardiovascular Research Institute of Basel, University Hospital Basel, Basel, Switzerland; BHF/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Thomas Nestelberger
- Cardiovascular Research Institute of Basel, University Hospital Basel, Basel, Switzerland
| | - Luca Koechlin
- Cardiovascular Research Institute of Basel, University Hospital Basel, Basel, Switzerland
| | - Pedro López-Ayala
- Cardiovascular Research Institute of Basel, University Hospital Basel, Basel, Switzerland
| | - Christian Müller
- Cardiovascular Research Institute of Basel, University Hospital Basel, Basel, Switzerland
| |
Collapse
|
13
|
Kontos MC, de Lemos JA, Deitelzweig SB, Diercks DB, Gore MO, Hess EP, McCarthy CP, McCord JK, Musey PI, Villines TC, Wright LJ. 2022 ACC Expert Consensus Decision Pathway on the Evaluation and Disposition of Acute Chest Pain in the Emergency Department: A Report of the American College of Cardiology Solution Set Oversight Committee. J Am Coll Cardiol 2022; 80:1925-1960. [PMID: 36241466 PMCID: PMC10691881 DOI: 10.1016/j.jacc.2022.08.750] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
|
14
|
Hypverventilation strain CMR imaging in patients with acute chest pain. Sci Rep 2022; 12:13584. [PMID: 35945332 PMCID: PMC9363440 DOI: 10.1038/s41598-022-17856-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 08/02/2022] [Indexed: 11/08/2022] Open
Abstract
In patients with suspected acute coronary syndrome high-sensitivity cardiac tropnonin T is used for rapid patient triage. Some acute coronary syndrome patients assigned to the observe zone based on high-sensitivity cardiac troponin T after 1 h require further diagnostic testing. Fast-strain encoded CMR imaging with breathing maneuvers may accelerate diagnostic work-up and identify patients suffering from acute coronary syndrome. Patients presenting with acute chest pain (high-sensitivity cardiac troponin T level 5-52 ng/L) were prospectively enrolled (consecutive sampling, time of recruitment: 09/18-06/19). Fast-strain-encoded imaging was performed within the 1-h timeframe (0 h/1 h algorithm) prior to 2nd high-sensitivity troponin T lab results. Images were acquired at rest as well as after 1-min of hyperventilation followed by a short breath-hold. In 108 patients (59 male; mean age: 57 ± 17y) the mean study time was 17 ± 3 min. An abnormal strain response after the breathing maneuver (persistent/increased/new onset of increased strain rates) correctly identified all 17 patients with a high-sensitivity troponin T dynamic (0 h/1 h algorithm) and explanatory significant coronary lesions, while in 86 patients without serologic or angiographic evidence for severe coronary artery disease the strain response was normal (sensitivity 100%, specificity 94.5%; 5 false positive results). The number of dysfunctional segments (strain > - 10%) proved to be a quantifiable marker for identifying patients with acute coronary syndrome. In patients with suspected acute coronary syndrome and inconclusive initial high-sensitivity troponin T, fast-strain-encoded imaging with a breathing maneuver may safely and rapidly identify patients with acute coronary syndrome, without the need for vasodilators, stress, or contrast agents.
Collapse
|
15
|
Baigent C, Windecker S, Andreini D, Arbelo E, Barbato E, Bartorelli AL, Baumbach A, Behr ER, Berti S, Bueno H, Capodanno D, Cappato R, Chieffo A, Collet JP, Cuisset T, de Simone G, Delgado V, Dendale P, Dudek D, Edvardsen T, Elvan A, González-Juanatey JR, Gori M, Grobbee D, Guzik TJ, Halvorsen S, Haude M, Heidbuchel H, Hindricks G, Ibanez B, Karam N, Katus H, Klok FA, Konstantinides SV, Landmesser U, Leclercq C, Leonardi S, Lettino M, Marenzi G, Mauri J, Metra M, Morici N, Mueller C, Petronio AS, Polovina MM, Potpara T, Praz F, Prendergast B, Prescott E, Price S, Pruszczyk P, Rodríguez-Leor O, Roffi M, Romaguera R, Rosenkranz S, Sarkozy A, Scherrenberg M, Seferovic P, Senni M, Spera FR, Stefanini G, Thiele H, Tomasoni D, Torracca L, Touyz RM, Wilde AA, Williams B. European Society of Cardiology guidance for the diagnosis and management of cardiovascular disease during the COVID-19 pandemic: part 1-epidemiology, pathophysiology, and diagnosis. Cardiovasc Res 2022; 118:1385-1412. [PMID: 34864874 PMCID: PMC8690255 DOI: 10.1093/cvr/cvab342] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
AIMS Since its emergence in early 2020, the novel severe acute respiratory syndrome coronavirus 2 causing coronavirus disease 2019 (COVID-19) has reached pandemic levels, and there have been repeated outbreaks across the globe. The aim of this two-part series is to provide practical knowledge and guidance to aid clinicians in the diagnosis and management of cardiovascular disease (CVD) in association with COVID-19. METHODS AND RESULTS A narrative literature review of the available evidence has been performed, and the resulting information has been organized into two parts. The first, reported here, focuses on the epidemiology, pathophysiology, and diagnosis of cardiovascular (CV) conditions that may be manifest in patients with COVID-19. The second part, which will follow in a later edition of the journal, addresses the topics of care pathways, treatment, and follow-up of CV conditions in patients with COVID-19. CONCLUSION This comprehensive review is not a formal guideline but rather a document that provides a summary of current knowledge and guidance to practicing clinicians managing patients with CVD and COVID-19. The recommendations are mainly the result of observations and personal experience from healthcare providers. Therefore, the information provided here may be subject to change with increasing knowledge, evidence from prospective studies, and changes in the pandemic. Likewise, the guidance provided in the document should not interfere with recommendations provided by local and national healthcare authorities.
Collapse
Affiliation(s)
- Colin Baigent
- MRC Population Health Research Unit, Nuffield Department of Population Health, Richard Doll Building, Old Road Campus, Roosevelt Drive, Oxford OX3 7LF, UK
| | - Stephan Windecker
- Department of Cardiology, Inselspital, Bern University Hospital, Freiburgstrasse 4, 3010 Bern, Switzerland
| | - Daniele Andreini
- Centro Cardiologico Monzino, IRCCS, Milan, Italy
- Department of Clinical Sciences and Community Health, Hospital Clínic
| | - Elena Arbelo
- Arrhythmia Section, Cardiology Department, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- ECGen, the Cardiogenetics Focus Group of EHRA
| | - Emanuele Barbato
- Department of Advanced Biomedical Sciences, Federico II University, Naples, Italy
- Cardiovascular Center Aalst, OLV Hospital, Aalst, Belgium
| | - Antonio L Bartorelli
- Centro Cardiologico Monzino, IRCCS, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy
| | - Andreas Baumbach
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London and Barts Heart Centre, London, UK
- Yale University School of Medicine, New Haven, CT, USA
| | - Elijah R Behr
- ECGen, the Cardiogenetics Focus Group of EHRA
- Cardiology Clinical Academic Group, Institute of Molecular and Clinical Sciences, St George's, University of London, London, UK
- St George's University Hospitals NHS Foundation Trust, London, UK
- European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart (ERN GUARDHEART)
| | - Sergio Berti
- U.O.C. Cardiologia Diagnostica e Interventistica, Dipartimento Cardiotoracico, Fondazione Toscana G. Monasterio - Ospedale del Cuore G. Pasquinucci, Massa, Italy
| | - Héctor Bueno
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Cardiology Department, Hospital Universitario 12 de Octubre and Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Davide Capodanno
- Division of Cardiology, A.O.U. Policlinico "G. Rodolico-San Marco" University of Catania, Catania, Italy
| | - Riccardo Cappato
- Arrhythmia & Electrophysiology Center, IRCCS Gruppo MultiMedica, Sesto San Giovanni, Milan, Italy
| | | | - Jean-Philippe Collet
- Sorbonne Université, ACTION study group, Institut de Cardiologie, Pitié Salpêtrière Hospital (AP-HP), Paris, France
| | - Thomas Cuisset
- Département de Cardiologie, CHU Timone, Marseille, France
- INSERM, UMR1062, Nutrition, Obesity and Risk of Thrombosis, Marseille, France
- Faculté de Médecine, Aix-Marseille Université, Marseille, France
| | - Giovanni de Simone
- Department of Advanced Biomedical Sciences, Federico II University, Naples, Italy
- Hypertension Research Center, Federico II University Hospital, Naples, Italy
| | - Victoria Delgado
- Heart Lung Centrum, Leiden University Medical Center, Leiden, The Netherlands
| | - Paul Dendale
- Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium
- Faculty of Medicine and Life Sciences, Uhasselt, Diepenbeek, Belgium
| | - Dariusz Dudek
- Institute of Cardiology, Jagiellonian University Medical College, Kraków, Poland
- Maria Cecilia Hospital, GVM Care&Research, Cotignola (RA), Ravenna, Italy
| | - Thor Edvardsen
- Department of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Arif Elvan
- Isala Heart Center, Zwolle, The Netherlands
| | - José R González-Juanatey
- Cardiology Department, University Hospital, IDIS, CIBERCV, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Mauro Gori
- Cardiovascular Department and Cardiology Unit, Papa Giovanni XXIII Hospital-Bergamo, Bergamo, Italy
| | - Diederick Grobbee
- Julius Global Health, the Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Tomasz J Guzik
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
- Department of Medicine, Jagiellonian University College of Medicine, Kraków, Poland
| | - Sigrun Halvorsen
- Department of Cardiology, Oslo University Hospital Ulleval, Oslo, Norway
- University of Oslo, Oslo, Norway
| | - Michael Haude
- Medical Clinic I, Städtische Kliniken Neuss, Lukaskrankenhaus GmbH, Neuss, Germany
| | - Hein Heidbuchel
- Department of Cardiology, University Hospital Antwerp and University of Antwerp, Antwerp, Belgium
| | - Gerhard Hindricks
- Department of Internal Medicine/Cardiology/Electrophysiology, Heart Center Leipzig, University Hospital Leipzig, Leipzig, Germany
- Leipzig Heart Institute (LHI), Leipzig, Germany
| | - Borja Ibanez
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- IIS-Fundación Jiménez Díaz Hospital, Madrid, Spain
| | - Nicole Karam
- Université de Paris, PARCC, INSERM, Paris, France
- European Hospital Georges Pompidou, Paris, France
| | - Hugo Katus
- Department of Internal Medicine, University Hospital of Heidelberg, Heidelberg, Germany
| | - Fredrikus A Klok
- Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, The Netherlands
| | - Stavros V Konstantinides
- Center for Thrombosis and Hemostasis, Johannes Gutenberg University Mainz, Mainz, Germany
- Department of Cardiology, Democritus University of Thrace, Alexandroupolis, Greece
| | - Ulf Landmesser
- Department of Cardiology, Charite University Medicine Berlin, Berlin, Germany
- Berlin Institute of Health (BIH), German Center of Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany
| | | | - Sergio Leonardi
- University of Pavia, Pavia, Italy
- Fondazione IRCCS Policlinico S.Matteo, Pavia, Italy
| | - Maddalena Lettino
- Cardio-Thoracic and Vascular Department, San Gerardo Hospital, ASST-Monza, Monza, Italy
| | | | - Josepa Mauri
- Institut del Cor, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
- Health Department of the Government of Catalonia, Barcelona, Spain
| | - Marco Metra
- Institute of Cardiology, ASST Spedali Civili di Brescia, Brescia, Italy
- Department of Medical and Surgical Specialities, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Nuccia Morici
- Unità di Cure Intensive Cardiologiche e De Gasperis Cardio Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- Dipartimento di Scienze Cliniche e di Comunità, Università degli Studi, Milan, Italy
| | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Anna Sonia Petronio
- Cardiothoracic and Vascular Department, University of Pisa, Ospedale Cisanello, Pisa, Italy
| | - Marija M Polovina
- Faculty of Medicine, Belgrade University, Belgrade, Serbia
- Department of Cardiology, Clinical Centre of Serbia, Belgrade, Serbia
| | - Tatjana Potpara
- School of Medicine, University of Belgrade, Belgrade, Serbia
- Department for Intensive Arrhythmia Care, Cardiology Clinic, Clinical Centre of Serbia, Belgrade, Serbia
| | - Fabien Praz
- Department of Cardiology, University Hospital Bern, Bern, Switzerland
| | | | - Eva Prescott
- Department of Cardiology, Bispebjerg University Hospital, Copenhagen, Denmark
| | - Susanna Price
- Royal Brompton Hospital, London, UK
- National Heart & Lung Institute, Imperial College, London, UK
| | - Piotr Pruszczyk
- Department of Internal Medicine and Cardiology, Medical University of Warsaw, Warsaw, Poland
| | - Oriol Rodríguez-Leor
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
- Health Department of the Government of Catalonia, Barcelona, Spain
| | - Marco Roffi
- Department of Cardiology, Geneva University Hospitals, Geneva, Switzerland
| | - Rafael Romaguera
- Servicio de Cardiología, Hospital Universitario de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Stephan Rosenkranz
- Clinic III for Internal Medicine (Cardiology) and Cologne Cardiovascular Research Center (CCRC), Heart Center at the University of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Andrea Sarkozy
- Department of Cardiology, University Hospital Antwerp and University of Antwerp, Antwerp, Belgium
| | - Martijn Scherrenberg
- Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium
- Faculty of Medicine and Life Sciences, Uhasselt, Diepenbeek, Belgium
| | - Petar Seferovic
- Faculty of Medicine, Belgrade University, Belgrade, Serbia
- Serbian Academy of Sciences and Arts, Belgrade, Serbia
| | - Michele Senni
- Cardiovascular Department and Cardiology Unit, Papa Giovanni XXIII Hospital-Bergamo, Bergamo, Italy
| | - Francesco R Spera
- Department of Cardiology, University Hospital Antwerp and University of Antwerp, Antwerp, Belgium
| | - Giulio Stefanini
- Department of Biomedical Sciences, Humanitas Clinical and Research Center, Humanitas University, Pieve Emanuele - Milan, Italy
- Humanitas Research Hospital IRCCS, Rozzano - Milan, Italy
| | - Holger Thiele
- Department of Internal Medicine/Cardiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany
- Leipzig Heart Institute (LHI), Leipzig, Germany
| | - Daniela Tomasoni
- Institute of Cardiology, ASST Spedali Civili di Brescia, Brescia, Italy
- Department of Medical and Surgical Specialities, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Luccia Torracca
- Department of Biomedical Sciences, Humanitas Clinical and Research Center, Humanitas University, Pieve Emanuele - Milan, Italy
- Humanitas Research Hospital IRCCS, Rozzano - Milan, Italy
| | - Rhian M Touyz
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Arthur A Wilde
- ECGen, the Cardiogenetics Focus Group of EHRA
- European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart (ERN GUARDHEART)
- Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam, The Netherlands
- Department of Clinical Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Bryan Williams
- Institute of Cardiovascular Sciences, University College London, London, UK
| |
Collapse
|
16
|
Johannessen TR, Halvorsen S, Atar D, Vallersnes OM. Performance of the Novel Observation Group Criteria of the European Society of Cardiology (ESC) 0/1-Hour Algorithm in a Low-Risk Population. J Am Heart Assoc 2022; 11:e024927. [PMID: 35352564 PMCID: PMC9075426 DOI: 10.1161/jaha.121.024927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Tonje R Johannessen
- Department of General Practice University of Oslo Norway.,Oslo Accident and Emergency Outpatient Clinic City of Oslo Health Agency Oslo Norway
| | - Sigrun Halvorsen
- Department of Cardiology Oslo University Hospital Ullevaal Oslo Norway.,Institute of Clinical Medicine University of Oslo Norway
| | - Dan Atar
- Department of Cardiology Oslo University Hospital Ullevaal Oslo Norway.,Institute of Clinical Medicine University of Oslo Norway
| | - Odd Martin Vallersnes
- Department of General Practice University of Oslo Norway.,Oslo Accident and Emergency Outpatient Clinic City of Oslo Health Agency Oslo Norway
| |
Collapse
|
17
|
Baigent C, Windecker S, Andreini D, Arbelo E, Barbato E, Bartorelli AL, Baumbach A, Behr ER, Berti S, Bueno H, Capodanno D, Cappato R, Chieffo A, Collet JP, Cuisset T, de Simone G, Delgado V, Dendale P, Dudek D, Edvardsen T, Elvan A, González-Juanatey JR, Gori M, Grobbee D, Guzik TJ, Halvorsen S, Haude M, Heidbuchel H, Hindricks G, Ibanez B, Karam N, Katus H, Klok FA, Konstantinides SV, Landmesser U, Leclercq C, Leonardi S, Lettino M, Marenzi G, Mauri J, Metra M, Morici N, Mueller C, Petronio AS, Polovina MM, Potpara T, Praz F, Prendergast B, Prescott E, Price S, Pruszczyk P, Rodríguez-Leor O, Roffi M, Romaguera R, Rosenkranz S, Sarkozy A, Scherrenberg M, Seferovic P, Senni M, Spera FR, Stefanini G, Thiele H, Tomasoni D, Torracca L, Touyz RM, Wilde AA, Williams B. European Society of Cardiology guidance for the diagnosis and management of cardiovascular disease during the COVID-19 pandemic: part 1-epidemiology, pathophysiology, and diagnosis. Eur Heart J 2022; 43:1033-1058. [PMID: 34791157 PMCID: PMC8690026 DOI: 10.1093/eurheartj/ehab696] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 07/08/2021] [Accepted: 09/13/2021] [Indexed: 01/08/2023] Open
Abstract
AIMS Since its emergence in early 2020, the novel severe acute respiratory syndrome coronavirus 2 causing coronavirus disease 2019 (COVID-19) has reached pandemic levels, and there have been repeated outbreaks across the globe. The aim of this two-part series is to provide practical knowledge and guidance to aid clinicians in the diagnosis and management of cardiovascular disease (CVD) in association with COVID-19. METHODS AND RESULTS A narrative literature review of the available evidence has been performed, and the resulting information has been organized into two parts. The first, reported here, focuses on the epidemiology, pathophysiology, and diagnosis of cardiovascular (CV) conditions that may be manifest in patients with COVID-19. The second part, which will follow in a later edition of the journal, addresses the topics of care pathways, treatment, and follow-up of CV conditions in patients with COVID-19. CONCLUSION This comprehensive review is not a formal guideline but rather a document that provides a summary of current knowledge and guidance to practicing clinicians managing patients with CVD and COVID-19. The recommendations are mainly the result of observations and personal experience from healthcare providers. Therefore, the information provided here may be subject to change with increasing knowledge, evidence from prospective studies, and changes in the pandemic. Likewise, the guidance provided in the document should not interfere with recommendations provided by local and national healthcare authorities.
Collapse
|
18
|
(Overview and application of validated algorithms using high-sensitivity cardiac troponin assays for early diagnosis of acute myocardial infarction). COR ET VASA 2021. [DOI: 10.33678/cor.2021.064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|
19
|
Kontos MC, Villines TC. Observations from stress testing in the troponin twilight zone. J Nucl Cardiol 2021; 28:2949-2951. [PMID: 32557147 DOI: 10.1007/s12350-020-02147-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 03/04/2020] [Indexed: 11/26/2022]
Affiliation(s)
- Michael C Kontos
- Division of Cardiology, Department of Internal Medicine, Pauley Heart Center, Virginia Commonwealth University, Room 285 Gateway Building, 2nd floor Gateway, 1200 E Marshall St, PO Box 980051, Richmond, VA, 23298-0051, USA.
| | - Todd C Villines
- Department of Internal Medicine, University of Virginia Health System, Charlottesville, VA, USA
| |
Collapse
|
20
|
Khan A, Engineer R, Wang S, Jaber WA, Menon V, Cremer PC. Initial experience regarding the safety and yield of rest-stress myocardial perfusion imaging in emergency department patients with mildly abnormal high-sensitivity cardiac troponins. J Nucl Cardiol 2021; 28:2941-2948. [PMID: 32557148 DOI: 10.1007/s12350-020-02145-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 04/01/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND With high-sensitivity troponin testing, approximately a third of patients presenting to emergency departments (EDs) with suspected acute coronary syndromes will have mildly abnormal values. However, data regarding rest-stress myocardial perfusion imaging (MPI) in these patients are limited. We hypothesize that stress testing is safe and that the yield for detecting myocardial ischemia is associated with risk stratification by the HEART score. METHODS AND RESULTS We conducted a retrospective cohort study of consecutive patients referred for rest-stress MPI with mildly abnormal high-sensitivity troponin T (hs-cTn) values. Outcomes were adverse events related to stress MPI, defined as myocardial infarction or ventricular tachyarrhythmia, and the presence of ischemia, defined as a reversible perfusion defect. Among 213 patients, the median age was 67, most were male (61.5%, n = 131), and prior CAD was common (53.5%, n = 114). Myocardial ischemia was present in 13.6% (n = 29), and there were no adverse events attributable to stress MPI. A higher HEART score was associated with myocardial ischemia (Odds Ratio [OR] 1.50, 95% Confidence Interval [CI] 1.08 to 2.08, P = .002). CONCLUSION Rest-stress MPI appears safe in patients with mildly abnormal hs-cTn values, and the yield for detecting ischemia is associated with the HEART score, though further validation studies are needed.
Collapse
Affiliation(s)
- Arooj Khan
- Department of Internal Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Rakesh Engineer
- Department of Emergency Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Sihe Wang
- Department of Pathology and Laboratory Medicine, Akron Children's Hospital, Akron, OH, USA
| | - Wael A Jaber
- Department of Cardiovascular Imaging, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Venu Menon
- Department of Cardiovascular Imaging, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Paul C Cremer
- Department of Cardiovascular Imaging, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA.
| |
Collapse
|
21
|
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
Collapse
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
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
22
|
Arslan M, Schaap J, Van Gorsel B, Budde RP, Bekkers SC, Van Cauteren YJ, Damman P, Habets J, Dubois EA, Dedic A. Coronary CT angiography for improved assessment of patients with acute chest pain and low-range positive high-sensitivity troponins: study protocol for a prospective, observational, multicentre study (COURSE trial). BMJ Open 2021; 11:e049349. [PMID: 34663657 PMCID: PMC8524275 DOI: 10.1136/bmjopen-2021-049349] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
INTRODUCTION Current evaluation of patients suspected of a non-ST-elevation acute coronary syndrome (NSTE-ACS) involves the use of algorithms that incorporate clinical information, electrocardiogram (ECG) and high-sensitivity cardiac troponins (hs-troponins). While primarily designed to rule out NSTE-ACS safely, these algorithms can also be used for rule in of NSTE-ACS in some patients. Still, in a substantial number of patients, these algorithms do not provide a conclusive work-up. These patients often present with an atypical clinical profile and low-range positive hs-troponin values without a characteristic rise or fall pattern. They represent a heterogeneous group of patients with various underlying conditions; only a fraction (30%-40%) will eventually be diagnosed with a myocardial infarction. Uncertainty exists about the optimal diagnostic strategy and their management depends on the clinical perspective of the treating physician ranging from direct discharge to admission for invasive coronary angiography. Coronary CT angiography (CCTA) is a non-invasive test that has been shown to be safe, fast and reliable in the evaluation of coronary artery disease. In this study, we will determine the usefulness of CCTA in patients with acute chest pain and low-range positive hs-troponin values. METHODS AND ANALYSIS A prospective, double-blind, observational, multicentre study conducted in the Netherlands. Patients aged 30-80 years presenting to the emergency department with acute chest pain and a suspicion of NSTE-ACS, a normal or non-diagnostic ECG and low-range positive hs-troponins will be scheduled to undergo CCTA. The primary outcome is the diagnostic accuracy of CCTA for the diagnosis of NSTE-ACS at discharge, in terms of sensitivity and negative predictive value. ETHICS AND DISSEMINATION This study was approved by the Medical Research Ethics Committee of Erasmus Medical Center in Rotterdam, the Netherlands (registration number MEC-2017-506). Written informed consent to participate will be obtained from all participants. This study's findings will be published in a peer-reviewed journal. TRIAL REGISTRATION NUMBER ClinicalTrials.gov (NCT03129659).
Collapse
Affiliation(s)
- Murat Arslan
- Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | | | - Ricardo Pj Budde
- Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | | | - Peter Damman
- Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jesse Habets
- Radiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Eric A Dubois
- Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Intensive Care, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Admir Dedic
- Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| |
Collapse
|
23
|
Rubini Gimenez M, Mills NL, Mueller C. Rapid diagnostic algorithms for non-ST-segment elevation myocardial infarction. EUROPEAN HEART JOURNAL. ACUTE CARDIOVASCULAR CARE 2021; 10:825-827. [PMID: 34423351 DOI: 10.1093/ehjacc/zuab059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Maria Rubini Gimenez
- Department of Internal Medicine/Cardiology, Heart Center Leipzig at University of Leipzig, Strümpellstraße 39, 04289 Leipzig, Germany
- Department of Cardiology and Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Nicholas L Mills
- British Heart Foundation and Usher Institute, Centre for Cardiovascular Science, University of Edinburgh, Chancellor's Building 49, Little France Crescent, Post code EH16 4SB City, Edinburgh, UK
| | - Christian Mueller
- Department of Cardiology and Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| |
Collapse
|
24
|
Lopez-Ayala P, Nestelberger T, Boeddinghaus J, Koechlin L, Ratmann PD, Strebel I, Gehrke J, Meier S, Walter J, Rubini Gimenez M, Mutschler E, Miro O, Lopez-Barbeito B, Martin-Sanchez FJ, Rodriguez-Adrada E, Keller DI, Newby LK, Twerenbold R, Giannitsis E, Lindahl B, Mueller C. Novel Criteria for the Observe-Zone of the ESC 0/1h-hs-cTnT Algorithm. Circulation 2021; 144:773-787. [PMID: 34376064 DOI: 10.1161/circulationaha.120.052982] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: The non-ST elevation myocardial infarction (NSTEMI) guidelines of the European Society of Cardiology (ESC) recommend a 3h cardiac troponin determination in patients triaged to the observe-zone of the ESC 0/1h-algorithm; however, no specific cut-off for further triage is endorsed. Recently, a specific cut-off for 0/3h high-sensitivity cardiac troponin T (hs-cTnT) change (7ng/L) was proposed warranting external validation. Methods: Patients presenting with acute chest discomfort to the emergency department were prospectively enrolled into an international multicenter diagnostic study. Final diagnoses were centrally adjudicated by two independent cardiologists applying the 4th universal definition of MI, based on complete cardiac work-up, cardiac imaging and serial hs-cTnT. Hs-cTnT concentrations were measured at presentation, after 1h and 3h. The objective was to externally validate the proposed cut-off, and if necessary, derive and internally as well as externally validate novel 0/3h-criteria for the observe-zone of the ESC 0/1h-hs-cTnT-algorithm in an independent multicenter cohort. Results: Among 2076 eligible patients, application of the ESC 0/1h-hs-cTnT-algorithm triaged 1512 patients (72.8%) to either rule-out or rule-in of NSTEMI, remaining 564 patients (27.2%) in the observe-zone (adjudicated NSTEMI prevalence 120/564 patients, 21.3%). The suggested 0/3h-hs-cTnT-change of <7ng/L triaged 517 patients (91.7%) towards rule-out, resulting in a sensitivity of 33.3% (95%CI 25.5-42.2), missing 80 patients with NSTEMI, and ≥7ng/L triaged 47 patients towards rule-in (8.3%), resulting in a specificity of 98.4% (95%CI 96.8-99.2). Novel derived 0/3h-criteria for the observe-zone patients ruled-out NSTEMI with a 3h hs-cTnT concentration <15 ng/L and a 0/3h-hs-cTnT absolute change <4 ng/L, triaging 138 patients (25%) towards rule-out, resulting in a sensitivity of 99.2% (95%CI 96.0-99.9), missing 1 patient with NSTEMI. A 0/3h-hs-cTnT absolute change ≥6 ng/L triaged 63 patients (11.2%) towards rule-in, resulting in a specificity of 98% (95%CI 96.2-98.9) Thereby, the novel 0/3h-criteria reduced the number of patients in the observe zone by 36%, and the number of T1MI by 50%. Findings were confirmed in both internal and external validation. Conclusions: A combination of a 3h hs-cTnT concentration (<15 ng/L) and a 0/3h absolute change (<4 ng/L) is necessary to safely rule-out NSTEMI in patients remaining in the observe-zone of the ESC 0/1h-hs-cTnT-algorithm. Clinical Trial Registration: URL: https://clinicaltrials.gov Unique Identifier: NCT00470587.
Collapse
Affiliation(s)
- Pedro Lopez-Ayala
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, 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; Division of Cardiology, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jasper Boeddinghaus
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT network, Rome, Italy
| | - Luca Koechlin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT network, Rome, Italy; Department of Cardiac Surgery, University Hospital Basel, University of Basel, Switzerland
| | - Paul David Ratmann
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, 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
| | - Juliane Gehrke
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT network, Rome, Italy
| | - Severin Meier
- 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; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Switzerland
| | | | - Eugenio Mutschler
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Oscar Miro
- GREAT network, Rome, Italy; Emergency Department, Hospital Clinic, University of Barcelona, Barcelona, Catalonia, Spain
| | - Beatriz Lopez-Barbeito
- GREAT network, Rome, Italy; Emergency Department, Hospital Clinic, University of Barcelona, Barcelona, Catalonia, Spain
| | | | | | - Dagmar I Keller
- Emergency Department, University Hospital Zurich, Zurich, Switzerland
| | - L Kristin Newby
- Division of Cardiology, Department of Medicine and Duke Clinical Research Institute, Duke University Medical Center, Durham, NC
| | - Raphael Twerenbold
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT network, Rome, Italy; University Center of Cardiovascular Science and Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany
| | | | - Bertil Lindahl
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden; Uppsala Clinical Research Center, Uppsala, Sweden
| | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT network, Rome, Italy
| | | |
Collapse
|
25
|
Lopez-Ayala P, Boeddinghaus J, Koechlin L, Nestelberger T, Mueller C. Early Rule-Out Strategies in the Emergency Department Utilizing High-Sensitivity Cardiac Troponin Assays. Clin Chem 2021; 67:114-123. [PMID: 33279982 DOI: 10.1093/clinchem/hvaa226] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 09/09/2020] [Indexed: 11/14/2022]
Abstract
BACKGROUND Over the past decade, intense collaboration between academic investigators and the diagnostic industry have allowed the integration of high-sensitivity cardiac troponin (hs-cTn) assays into clinical practice worldwide. The hs-cTn assays, with their increased diagnostic accuracy for acute myocardial infarction (AMI), have facilitated the maturation of early rule-out strategies. The first iteration was complex and required the combination of a biomarker panel, the electrocardiogram, and a clinical risk score and allowed the safe rule-out of AMI in only 10% of patients with acute chest pain. In contrast, the latest iterations, including the European Society of Cardiology (ESC) 0/1-h algorithm, are simple. They are based on hs-cTn concentrations only and allow the safe rule-out or rule-in of AMI in up to 75% of patients. CONTENT The purposes of this minireview are (a) to describe the best validated hs-cTn-based strategies for early rule-out of AMI, (b) to discuss the advantages and limitations of the different strategies, (c) to identify patient subgroups requiring particular attention, (d) to recognize challenges for widespread clinical implementation, and (e) to provide guidance on strategies for their safe and effective clinical implementation. SUMMARY Physicians and institutions may choose among several well-validated rule-out algorithms. The ESC 0/1-h algorithm for hs-cTnT or hs-cTnI seems to be the most attractive option today. It best balances safety and efficacy, and it has been derived and validated for all currently available hs-cTnT/I assays, facilitating widespread clinical implementation.
Collapse
Affiliation(s)
- Pedro Lopez-Ayala
- Department of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Switzerland.,GREAT Network, Rome, Italy
| | - Jasper Boeddinghaus
- Department of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Switzerland.,GREAT Network, Rome, Italy
| | - Luca Koechlin
- Department of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Switzerland.,GREAT Network, Rome, Italy.,Department of Cardiac Surgery, University Hospital Basel, Switzerland
| | - Thomas Nestelberger
- Department of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Switzerland.,GREAT Network, Rome, Italy.,Division of Cardiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Christian Mueller
- Department of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Switzerland.,GREAT Network, Rome, Italy
| |
Collapse
|
26
|
Chaulin A. Cardiac Troponins: Contemporary Biological Data and New Methods of Determination. Vasc Health Risk Manag 2021; 17:299-316. [PMID: 34113117 PMCID: PMC8184290 DOI: 10.2147/vhrm.s300002] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 04/21/2021] [Indexed: 12/19/2022] Open
Abstract
Laboratory diagnosis plays one of the key roles in the diagnosis of many diseases, including cardiovascular diseases (CVD). The methods underlying the in vitro study of many CVD biomarkers, including cardiac troponins (cTnI and cTnT), are imperfect and are continually being improved to enhance their analytical performance, with sensitivity and specificity being the most important. Recently developed improved cTnI and cTnT detection methods, referred to as highly sensitive methods (hs-cTnI, hs-cTnT), have changed many of our ideas about the biology of cardiac troponins and opened up a number of additional diagnostic capabilities for practical healthcare. This article systematizes some relevant data on the biology of cardiac troponins as well as on methods for determining cTnI and cTnT with an analysis of the diagnostic value of their analytical characteristics (limit of blank, limit of detection, 99th percentile, coefficient of variation, and others). Data on extracardiac expression of cTnI and cTnT, mechanisms of formation and potential clinical significance of gender, age, and circadian characteristics of hs-cTnI and hs-cTnT content in serum are discussed. Considerable attention is paid to the discussion of new diagnostic capabilities of hs-cTnI, hs-cTnT, including consideration of promising possibilities for their study in biological fluids that can be obtained by non-invasive methods. Also, some possibilities of using hs-cTnI and hs-cTnT as prognostic laboratory biomarkers in healthy people (for example, to assess the risk of developing CVD) and in patients suffering from a number of pathological conditions that cause damage to cardiomyocytes are examined, and the potential mechanisms underlying the increase in hs-cTnI and hs-cTnT are discussed.
Collapse
Affiliation(s)
- Aleksey Chaulin
- Department of Cardiology and Cardiovascular Surgery, Samara State Medical University, Samara, 443099, Russia.,Department of Histology and Embryology, Samara State Medical University, Samara, 443099, Russia
| |
Collapse
|
27
|
Kienbacher CL, Fuhrmann V, van Tulder R, Havel C, Schreiber W, Rasoul‐Rockenschaub S, Wrba T, Herkner H, Laggner AN, Roth D. Impact of more conservative European Society of Cardiology guidelines on the management of patients with acute chest pain. Int J Clin Pract 2021; 75:e14133. [PMID: 33683805 PMCID: PMC8244119 DOI: 10.1111/ijcp.14133] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 02/14/2021] [Accepted: 03/02/2021] [Indexed: 02/03/2023] Open
Abstract
OBJECTIVE Early diagnosis or rule-out of acute coronary syndrome (ACS) is a key competence of emergency medicine. Changes in the NSTE-ACS guidelines of the European Society of Cardiology (ESC) in 2015 and 2020 both warranted a henceforth more conservative approach regarding high-sensitivity troponin t (hsTnt) testing. We aimed to assess the impact of more conservative guidelines on the frequency of early rule-out and prolonged observation with repeated hsTnt testing at a high-volume tertiary care emergency department. PATIENTS AND METHODS We conducted a pre- and post-changeover analysis 3 months before and 3 months after transition from less (hsTnt cut-off 30 ng/L, 3-hour rule-out) to more conservative (hsTnt cut-off 14 ng/L, 1-hour rule-out) guidelines in 2015, comparing proportions of patients requiring repeated testing. RESULTS We included 5442 cases of symptoms suspicious of acute cardiac origin (3451 before, 1991 after, 2370 (44%) female, age 55 (SD 19) years). The proportion of patients fulfilling early-rule out criteria decreased from 68% (2348 patients) before to 60% (1195 patients) with the 2015 guidelines (P < .01). Those requiring repeated testing significantly (P < .01) increased from 22% (743 patients) to 25% (494 patients). Positive results in repeated testing significantly (P = .02) decreased from 43% (320 patients) to 37% (181 patients). Invasive diagnostics were performed in 91 patients (2.6%) before and in 75 patients (3.8%) after (P = .02) the guideline revision. CONCLUSION The implementation of the more conservative 2015 ESC guidelines led to a minor rise in prolonged observations because of an increase in negative repeated testing and to an increase in invasive procedures.
Collapse
Affiliation(s)
- Calvin L. Kienbacher
- Department of Emergency MedicineVienna General HospitalMedical University of ViennaViennaAustria
| | - Verena Fuhrmann
- Department of Emergency MedicineVienna General HospitalMedical University of ViennaViennaAustria
| | - Raphael van Tulder
- Department of Emergency MedicineVienna General HospitalMedical University of ViennaViennaAustria
| | - Christof Havel
- Department of Emergency MedicineVienna General HospitalMedical University of ViennaViennaAustria
| | - Wolfgang Schreiber
- Department of Emergency MedicineVienna General HospitalMedical University of ViennaViennaAustria
| | | | - Thomas Wrba
- Department of Emergency MedicineVienna General HospitalMedical University of ViennaViennaAustria
| | - Harald Herkner
- Department of Emergency MedicineVienna General HospitalMedical University of ViennaViennaAustria
| | - Anton N. Laggner
- Department of Emergency MedicineVienna General HospitalMedical University of ViennaViennaAustria
| | - Dominik Roth
- Department of Emergency MedicineVienna General HospitalMedical University of ViennaViennaAustria
| |
Collapse
|
28
|
Collet JP, Thiele H, Barbato E, Barthélémy O, Bauersachs J, Bhatt DL, Dendale P, Dorobantu M, Edvardsen T, Folliguet T, Gale CP, Gilard M, Jobs A, Jüni P, Lambrinou E, Lewis BS, Mehilli J, Meliga E, Merkely B, Mueller C, Roffi M, Rutten FH, Sibbing D, Siontis GC. Guía ESC 2020 sobre el diagnóstico y tratamiento del síndrome coronario agudo sin elevación del segmento ST. Rev Esp Cardiol (Engl Ed) 2021. [DOI: 10.1016/j.recesp.2020.12.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
29
|
High Sensitivity Troponins and Ischemia Testing: Are We Doing Too Much? Am Heart J 2021; 236:97-99. [PMID: 33296689 DOI: 10.1016/j.ahj.2020.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Accepted: 12/03/2020] [Indexed: 11/23/2022]
|
30
|
Mueller C, Giannitsis E, Jaffe AS, Huber K, Mair J, Cullen L, Hammarsten O, Mills NL, Möckel M, Krychtiuk K, Thygesen K, Lindahl B. Cardiovascular biomarkers in patients with COVID-19. EUROPEAN HEART JOURNAL-ACUTE CARDIOVASCULAR CARE 2021; 10:310-319. [PMID: 33655301 PMCID: PMC7989520 DOI: 10.1093/ehjacc/zuab009] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 02/12/2021] [Indexed: 01/08/2023]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has increased awareness that severe acute respiratory distress syndrome coronavirus-2 (SARS-CoV-2) may have profound effects on the cardiovascular system. COVID-19 often affects patients with pre-existing cardiac disease, and may trigger acute respiratory distress syndrome (ARDS), venous thromboembolism (VTE), acute myocardial infarction (AMI), and acute heart failure (AHF). However, as COVID-19 is primarily a respiratory infectious disease, there remain substantial uncertainty and controversy whether and how cardiovascular biomarkers should be used in patients with suspected COVID-19. To help clinicians understand the possible value as well as the most appropriate interpretation of cardiovascular biomarkers in COVID-19, it is important to highlight that recent findings regarding the prognostic role of cardiovascular biomarkers in patients hospitalized with COVID-19 are similar to those obtained in studies for pneumonia and ARDS in general. Cardiovascular biomarkers reflecting pathophysiological processes involved in COVID-19/pneumonia and its complications have a role evaluating disease severity, cardiac involvement, and risk of death in COVID-19 as well as in pneumonias caused by other pathogens. First, cardiomyocyte injury, as quantified by cardiac troponin concentrations, and haemodynamic cardiac stress, as quantified by natriuretic peptide concentrations, may occur in COVID-19 as in other pneumonias. The level of those biomarkers correlates with disease severity and mortality. Interpretation of cardiac troponin and natriuretic peptide concentrations as quantitative variables may aid in risk stratification in COVID-19/pneumonia and also will ensure that these biomarkers maintain high diagnostic accuracy for AMI and AHF. Second, activated coagulation as quantified by D-dimers seems more prominent in COVID-19 as in other pneumonias. Due to the central role of endothelitis and VTE in COVID-19, serial measurements of D-dimers may help physicians in the selection of patients for VTE imaging and the intensification of the level of anticoagulation from prophylactic to slightly higher or even therapeutic doses.
Collapse
Affiliation(s)
- Christian Mueller
- Department of Cardiology and Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland
| | | | | | - Kurt Huber
- Department of Medicine, Cardiology and Intensive Care Medicine, Wilhelminenhospital, and Sigmund Freud University, Medical School, Vienna, Austria
| | - Johannes Mair
- Department of Internal Medicine III-Cardiology and Angiology, Medical University Innsbruck, Innsbruck, Austria
| | - Louise Cullen
- Emergency and Trauma Centre, Royal Brisbane and Women`s Hospital, University of Queensland, St Lucia, QLD, Australia
| | - Ola Hammarsten
- Department of Clinical Chemistry and Transfusion Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Nicholas L Mills
- University/BHF Centre for Cardiovascular Science and Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Martin Möckel
- Division of Emergency Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Konstantin Krychtiuk
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria
| | - Kristian Thygesen
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Bertil Lindahl
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | | |
Collapse
|
31
|
Westwood M, Ramaekers B, Grimm S, Worthy G, Fayter D, Armstrong N, Buksnys T, Ross J, Joore M, Kleijnen J. High-sensitivity troponin assays for early rule-out of acute myocardial infarction in people with acute chest pain: a systematic review and economic evaluation. Health Technol Assess 2021; 25:1-276. [PMID: 34061019 PMCID: PMC8200931 DOI: 10.3310/hta25330] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Early diagnosis of acute myocardial infarction is important, but only 20% of emergency admissions for chest pain will actually have an acute myocardial infarction. High-sensitivity cardiac troponin assays may allow rapid rule out of myocardial infarction and avoid unnecessary hospital admissions. OBJECTIVES To assess the clinical effectiveness and cost-effectiveness of high-sensitivity cardiac troponin assays for the management of adults presenting with acute chest pain, in particular for the early rule-out of acute myocardial infarction. METHODS Sixteen databases were searched up to September 2019. Review methods followed published guidelines. Studies were assessed for quality using appropriate risk-of-bias tools. The bivariate model was used to estimate summary sensitivity and specificity for meta-analyses involving four or more studies; otherwise, random-effects logistic regression was used. The health economic analysis considered the long-term costs and quality-adjusted life-years associated with different troponin testing methods. The de novo model consisted of a decision tree and a state-transition cohort model. A lifetime time horizon (of 60 years) was used. RESULTS Thirty-seven studies (123 publications) were included in the review. The high-sensitivity cardiac troponin test strategies evaluated are defined by the combination of four factors (i.e. assay, number and timing of tests, and threshold concentration), resulting in a large number of possible combinations. Clinical opinion indicated a minimum clinically acceptable sensitivity of 97%. When considering single test strategies, only those using a threshold at or near to the limit of detection for the assay, in a sample taken at presentation, met the minimum clinically acceptable sensitivity criterion. The majority of the multiple test strategies that met this criterion comprised an initial rule-out step, based on high-sensitivity cardiac troponin levels in a sample taken on presentation and a minimum symptom duration, and a second stage for patients not meeting the initial rule-out criteria, based on presentation levels of high-sensitivity cardiac troponin and absolute change after 1, 2 or 3 hours. Two large cluster randomised controlled trials found that implementation of an early rule-out pathway for myocardial infarction reduced length of stay and rate of hospital admission without increasing cardiac events. In the base-case analysis, standard troponin testing was both the most effective and the most costly. Other testing strategies with a sensitivity of 100% (subject to uncertainty) were almost equally effective, resulting in the same life-year and quality-adjusted life-year gain at up to four decimal places. Comparisons based on the next best alternative showed that for willingness-to-pay values below £8455 per quality-adjusted life-year, the Access High Sensitivity Troponin I (Beckman Coulter, Brea, CA, USA) [(symptoms > 3 hours AND < 4 ng/l at 0 hours) OR (< 5 ng/l AND Δ < 5 ng/l at 0 to 2 hours)] would be cost-effective. For thresholds between £8455 and £20,190 per quality-adjusted life-year, the Elecsys® Troponin-T high sensitive (Roche, Basel, Switzerland) (< 12 ng/l at 0 hours AND Δ < 3 ng/l at 0 to 1 hours) would be cost-effective. For a threshold > £20,190 per quality-adjusted life-year, the Dimension Vista® High-Sensitivity Troponin I (Siemens Healthcare, Erlangen, Germany) (< 5 ng/l at 0 hours AND Δ < 2 ng/l at 0 to 1 hours) would be cost-effective. CONCLUSIONS High-sensitivity cardiac troponin testing may be cost-effective compared with standard troponin testing. STUDY REGISTRATION This study is registered as PROSPERO CRD42019154716. FUNDING This project was funded by the National Institute for Health Research (NIHR) Evidence Synthesis programme and will be published in full in Health Technology Assessment; Vol. 25, No. 33. See the NIHR Journals Library website for further project information.
Collapse
Affiliation(s)
| | - Bram Ramaekers
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University, Maastricht, the Netherlands
| | - Sabine Grimm
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University, Maastricht, the Netherlands
| | | | | | | | | | | | - Manuela Joore
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University, Maastricht, the Netherlands
| | - Jos Kleijnen
- Kleijnen Systematic Reviews Ltd, York, UK
- School for Public Health and Primary Care, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| |
Collapse
|
32
|
Collet JP, Thiele H, Barbato E, Barthélémy O, Bauersachs J, Bhatt DL, Dendale P, Dorobantu M, Edvardsen T, Folliguet T, Gale CP, Gilard M, Jobs A, Jüni P, Lambrinou E, Lewis BS, Mehilli J, Meliga E, Merkely B, Mueller C, Roffi M, Rutten FH, Sibbing D, Siontis GCM. 2020 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation. Eur Heart J 2021; 42:1289-1367. [PMID: 32860058 DOI: 10.1093/eurheartj/ehaa575] [Citation(s) in RCA: 2628] [Impact Index Per Article: 876.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
|
33
|
van Cauteren YJM, Smulders MW, Theunissen RALJ, Gerretsen SC, Adriaans BP, Bijvoet GP, Mingels AMA, van Kuijk SMJ, Schalla S, Crijns HJGM, Kim RJ, Wildberger JE, Heijman J, Bekkers SCAM. Cardiovascular magnetic resonance accurately detects obstructive coronary artery disease in suspected non-ST elevation myocardial infarction: a sub-analysis of the CARMENTA Trial. J Cardiovasc Magn Reson 2021; 23:40. [PMID: 33752696 PMCID: PMC7983380 DOI: 10.1186/s12968-021-00723-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 02/02/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Invasive coronary angiography (ICA) is still the reference test in suspected non-ST elevation myocardial infarction (NSTEMI), although a substantial number of patients do not have obstructive coronary artery disease (CAD). Early cardiovascular magnetic resonance (CMR) may be a useful gatekeeper for ICA in this setting. The main objective was to investigate the accuracy of CMR to detect obstructive CAD in NSTEMI. METHODS This study is a sub-analysis of a randomized controlled trial investigating whether a non-invasive imaging-first strategy safely reduced the number of ICA compared to routine clinical care in suspected NSTEMI (acute chest pain, non-diagnostic electrocardiogram, high sensitivity troponin T > 14 ng/L), and included 51 patients who underwent CMR prior to ICA. A stepwise approach was used to assess the diagnostic accuracy of CMR to detect (1) obstructive CAD (diameter stenosis ≥ 70% by ICA) and (2) an adjudicated final diagnosis of acute coronary syndrome (ACS). First, in all patients the combination of cine, T2-weighted and late gadolinium enhancement (LGE) imaging was evaluated for the presence of abnormalities consistent with a coronary etiology in any sequence. Hereafter and only when the scan was normal or equivocal, adenosine stress-perfusion CMR was added. RESULTS Of 51 patients included (63 ± 10 years, 51% male), 34 (67%) had obstructive CAD by ICA. The sensitivity, specificity and overall accuracy of the first step to diagnose obstructive CAD were 79%, 71% and 77%, respectively. Additional vasodilator stress-perfusion CMR was performed in 19 patients and combined with step one resulted in an overall sensitivity of 97%, specificity of 65% and accuracy of 86%. Of the remaining 17 patients with non-obstructive CAD, 4 (24%) had evidence for a myocardial infarction on LGE, explaining the modest specificity. The sensitivity, specificity and overall accuracy to diagnose ACS (n = 43) were 88%, 88% and 88%, respectively. CONCLUSION CMR accurately detects obstructive CAD and ACS in suspected NSTEMI. Non-obstructive CAD is common with CMR still identifying an infarction in almost one-quarter of patients. CMR should be considered as an early diagnostic approach in suspected NSTEMI. TRIAL REGISTRATION The CARMENTA trial has been registered at ClinicalTrials.gov with identifier NCT01559467.
Collapse
Affiliation(s)
- Yvonne J M van Cauteren
- Department of Radiology and Nuclear Medicine, Maastricht UMC+, Maastricht, The Netherlands
- Department of Cardiology, Maastricht UMC+, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Martijn W Smulders
- Department of Cardiology, Maastricht UMC+, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | | | - Suzanne C Gerretsen
- Department of Radiology and Nuclear Medicine, Maastricht UMC+, Maastricht, The Netherlands
| | - Bouke P Adriaans
- Department of Radiology and Nuclear Medicine, Maastricht UMC+, Maastricht, The Netherlands
- Department of Cardiology, Maastricht UMC+, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | | | - Alma M A Mingels
- Department of Clinical Chemistry, Maastricht UMC+, Maastricht, The Netherlands
| | - Sander M J van Kuijk
- Department of Clinical Epidemiology & Medical Technology Assessment (KEMTA), Maastricht UMC+, Maastricht, The Netherlands
| | - Simon Schalla
- Department of Radiology and Nuclear Medicine, Maastricht UMC+, Maastricht, The Netherlands
- Department of Cardiology, Maastricht UMC+, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Harry J G M Crijns
- Department of Cardiology, Maastricht UMC+, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Raymond J Kim
- Duke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, NC, USA
| | - Joachim E Wildberger
- Department of Radiology and Nuclear Medicine, Maastricht UMC+, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Jordi Heijman
- Department of Cardiology, Maastricht UMC+, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Sebastiaan C A M Bekkers
- Department of Cardiology, Maastricht UMC+, Maastricht, The Netherlands.
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
- Maastricht University Medical Center, P. Debyelaan 25, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands.
| |
Collapse
|
34
|
Kaier TE, Alaour B, Marber M. Cardiac troponin and defining myocardial infarction. Cardiovasc Res 2021; 117:2203-2215. [PMID: 33458742 PMCID: PMC8404461 DOI: 10.1093/cvr/cvaa331] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 09/12/2020] [Indexed: 12/19/2022] Open
Abstract
The 4th Universal Definition of Myocardial Infarction has stimulated considerable debate since its publication in 2018. The intention was to define the types of myocardial injury through the lens of their underpinning pathophysiology. In this review, we discuss how the 4th Universal Definition of Myocardial Infarction defines infarction and injury and the necessary pragmatic adjustments that appear in clinical guidelines to maximize triage of real-world patients.
Collapse
Affiliation(s)
- Thomas E Kaier
- King's College London BHF Centre, The Rayne Institute, 4th Floor, Lambeth Wing, St Thomas' Hospital, Westminster Bridge Road, London SE1 7EH, UK
| | - Bashir Alaour
- King's College London BHF Centre, The Rayne Institute, 4th Floor, Lambeth Wing, St Thomas' Hospital, Westminster Bridge Road, London SE1 7EH, UK
| | - Michael Marber
- King's College London BHF Centre, The Rayne Institute, 4th Floor, Lambeth Wing, St Thomas' Hospital, Westminster Bridge Road, London SE1 7EH, UK
| |
Collapse
|
35
|
Johannessen TR, Vallersnes OM, Halvorsen S, Larstorp ACK, Mdala I, Atar D. Pre-hospital One-Hour Troponin in a Low-Prevalence Population of Acute Coronary Syndrome: OUT-ACS study. Open Heart 2020; 7:openhrt-2020-001296. [PMID: 32719074 PMCID: PMC7380862 DOI: 10.1136/openhrt-2020-001296] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 05/08/2020] [Accepted: 05/26/2020] [Indexed: 02/03/2023] Open
Abstract
Objective The European Society of Cardiology 0/1-hour algorithm for high-sensitivity cardiac troponin T (hs-cTnT) has demonstrated high rule-out safety in large hospital validation cohorts. We aimed to validate the algorithm in a primary care setting, where patients have a lower pretest probability for acute coronary syndrome. Methods This prospective, observational, diagnostic study included patients with acute non-specific chest pain admitted to a primary care emergency clinic in Oslo, Norway, from November 2016 to October 2018. hs-cTnT was measured after 0, 1 and 4 hours. The primary outcome measure was the diagnostic performance of the 0/1-hour algorithm, the 90-day incidence of AMI or all-cause death the secondary. Results Among 1711 included patients, 61 (3.6%) were diagnosed with AMI. By applying the algorithm, 1311 (76.6%) patients were assigned to the rule-out group. The negative predictive value was 99.9% (95% CI 99.5% to 100.0%), the sensitivity and specificity 98.4% (91.2–100.0) and 79.4% (77.4–81.3), respectively. Sixty-six (3.9%) patients were triaged towards rule-in, where 45 were diagnosed with AMI. The corresponding positive predictive value was 68.2% (58.3–76.7), sensitivity 73.8% (60.9–84.2), and specificity 98.7% (98.1–99.2). Among 334 (19.5%) patients assigned to the observation group in need of further tests, 15 patients had an AMI. The following 90 days, five new patients experienced an AMI and nine patients died, with a low incidence in the rule-out group (0.3%). Conclusion The 0/1-hour algorithm for hs-cTnT seems safe, efficient and applicable for an accelerated assessment of patients with non-specific chest pain in a primary care emergency setting. Trial registration number NCT02983123.
Collapse
Affiliation(s)
- Tonje R Johannessen
- Department of General Practice, Institute of Health and Society, University of Oslo, Oslo, Norway .,Oslo Accident and Emergency Outpatient Clinic, City of Oslo Health Services, Oslo, Norway
| | - Odd Martin Vallersnes
- Department of General Practice, Institute of Health and Society, University of Oslo, Oslo, Norway.,Oslo Accident and Emergency Outpatient Clinic, City of Oslo Health Services, Oslo, Norway
| | - Sigrun Halvorsen
- Department of Cardiology, Oslo University Hospital Ullevaal, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Anne Cecilie K Larstorp
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Medical Biochemistry, Section of Cardiovascular and Renal Reseach, Oslo University Hospital Ullevaal, Oslo, Norway
| | - Ibrahimu Mdala
- Department of General Practice, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Dan Atar
- Department of Cardiology, Oslo University Hospital Ullevaal, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| |
Collapse
|
36
|
Tjora HL, Steiro OT, Langørgen J, Bjørneklett R, Nygård OK, Skadberg Ø, Bonarjee VVS, Collinson P, Omland T, Vikenes K, Aakre KM. Cardiac Troponin Assays With Improved Analytical Quality: A Trade-Off Between Enhanced Diagnostic Performance and Reduced Long-Term Prognostic Value. J Am Heart Assoc 2020; 9:e017465. [PMID: 33238783 PMCID: PMC7763786 DOI: 10.1161/jaha.120.017465] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background Cardiac troponin (cTn) permits early rule‐out/rule‐in of patients admitted with possible non–ST‐segment–elevation myocardial infarction. In this study, we developed an admission and a 0/1 hour rule‐out/rule‐in algorithm for a troponin assay with measurable results in >99% of healthy individuals. We then compared its diagnostic and long‐term prognostic properties with other protocols. Methods and Results Blood samples were collected at 0, 1, 3, and 8 to 12 hours from patients admitted with possible non–ST‐segment–elevation myocardial infarction. cTnT (Roche Diagnostics), cTnI(Abbott) (Abbott Diagnostics), and cTnI(sgx) (Singulex Clarity System) were measured in 971 admission and 465 1‐hour samples. An admission and a 0/1 hour rule‐out/rule‐in algorithm were developed for the cTnI(sgx) assay and its diagnostic properties were compared with cTnTESC (European Society of Cardiology), cTnI(Abbott)ESC, and 2 earlier cTnI(sgx) algorithms. The prognostic composite end point was all‐cause mortality and future nonfatal myocardial infarction during a median follow‐up of 723 days. non–ST‐segment–elevation myocardial infarction prevalence was 13%. The novel cTnI(sgx) algorithms showed similar performance regardless of time from symptom onset, and area under the curve was significantly better than comparators. The cTnI(sgx)0/1 hour algorithm classified 92% of patients to rule‐in or rule‐out compared with ≤78% of comparators. Patients allocated to rule‐out by the prior published 0/1 hour algorithms had significantly fewer long‐term events compared with the rule‐in and observation groups. The novel cTnI(sgx)0/1 hour algorithm used a higher troponin baseline concentration for rule‐out and did not allow for prognostication. Conclusions Increasingly sensitive troponin assays may improve identification of non–ST‐segment–elevation myocardial infarction but could rule‐out patients with subclinical chronic myocardial injury. Separate protocols for diagnosis and risk prediction seem appropriate.
Collapse
Affiliation(s)
- Hilde L Tjora
- Emergency Care Clinic Haukeland University Hospital Bergen Norway
| | - Ole-Thomas Steiro
- Department of Heart Disease Haukeland University Hospital Bergen Norway
| | - Jørund Langørgen
- Department of Heart Disease Haukeland University Hospital Bergen Norway
| | - Rune Bjørneklett
- Emergency Care Clinic Haukeland University Hospital Bergen Norway.,Department of Clinical Medicine University of Bergen Norway
| | - Ottar K Nygård
- Department of Heart Disease Haukeland University Hospital Bergen Norway.,Department of Clinical Science University of Bergen Norway
| | - Øyvind Skadberg
- Laboratory of Medical Biochemistry Stavanger University Hospital Stavanger Norway
| | | | - Paul Collinson
- Departments of Clinical Blood Sciences and Cardiology St Georges University Hospitals NHS Foundation Trust and St George's University of London London United Kingdom
| | - Torbjørn Omland
- Division of Medicine Akershus University Hospital Oslo Norway.,Center for Heart Failure Research Institute of Clinical Medicine University of Oslo Norway
| | - Kjell Vikenes
- Department of Heart Disease Haukeland University Hospital Bergen Norway.,Department of Clinical Science University of Bergen Norway
| | - Kristin M Aakre
- Department of Heart Disease Haukeland University Hospital Bergen Norway.,Department of Clinical Science University of Bergen Norway.,Department of Medical Biochemistry and Pharmacology Haukeland University Hospital Bergen Norway
| |
Collapse
|
37
|
Implementing the European Society of Cardiology 0-h/1-h algorithm in patients presenting very early after chest pain. Int J Cardiol 2020; 320:1-6. [PMID: 32730826 DOI: 10.1016/j.ijcard.2020.07.037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 05/29/2020] [Accepted: 07/20/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND The European Society of Cardiology (ESC) recommends a 0-h/1-h (0/1-h) algorithm to classify patients with suspected non-ST-segment elevation myocardial infarction (NSTEMI). However, reliable evidence about patients who present early after the onset of symptoms is limited, likely because high-sensitivity cardiac troponin (hs-cTn) values cannot increase sufficiently within that time. This study aimed to evaluate the outcomes in real-world situations that utilized the 0/1-h algorithm. METHODS In a prospective, international, multicenter cohort study that enrolled 1638 patients presenting with acute chest pain to the emergency department, we assessed the performance of the 0/1-h algorithm using hs-cTnT and the associated 30-day rates of major adverse cardiac events: death and acute myocardial infarction (AMI). RESULTS Among 1074 patients, the prevalence of AMI was 16.0%. An approximately 60.1% (n = 645) of patients visited the hospital within 3 h after onset of chest pain (less than 1 h; 18.2% [n = 196], less than 2 h; 27.5% [n = 295], and less than 3 h; 14.3% [n = 154]). Moreover, the prevalence rates of AMI were similar at all times (1 h, 16.8%; 1-2 h, 20.7%; 2-3 h, 18.2%; p = .5). According to the ESC 0/1-h algorithm, the distribution patterns of rule-out, observe, and rule-in groups were similar; however, none of the patients was diagnosed with AMI or cardiac death in the rule-out group. CONCLUSION This study revealed the applicability of the 0/1-h algorithm for the management of early presenters.
Collapse
|
38
|
Gu W, Tang W, Zhang Z, Xu M, Wu J. Two different troponin isoforms for detecting early myocardial injury after curative resection of oesophageal cancer. J Cardiothorac Surg 2020; 15:189. [PMID: 32711546 PMCID: PMC7382821 DOI: 10.1186/s13019-020-01225-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Accepted: 07/13/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The objective of this study was to explore the consistency and correlation of two troponin (cTn) subtypes, troponin I (cTnI) and high-sensitivity troponin T (hs-cTnT), which can be used to judge early myocardial injury after curative resection of oesophageal cancer. METHODS This study is a secondary analysis of data obtained from a previous randomized controlled trial on postoperative myocardial injury in 70 patients undergoing elective curative resection of oesophageal cancer who were randomly assigned to undergo aggressive body temperature management (nasopharyngeal temperature 36.61 ± 0.18 °C) or standard body temperature management (35.80 ± 0.18 °C, n = 35 in each arm). The serum cTnI and hs-cTnT levels were measured in each patient at the 4 time points: before the operation and 6 h ~ 12 h, 24 h and 48 h after the operation. The diagnostic criteria of myocardial injury followed the third edition ESC/ACCF definition of myocardial infarction. The primary outcomes included the following: (1) the incidence of myocardial injury and the relationship between hs-cTnT and cTn and (2) the consistency and correlation of the two cTn subtypes. RESULTS A total of 280 pairs of cTn samples were tested. The incidence of postoperative day 2 myocardial injury was 8.6% (3/35) among patients receiving aggressive body temperature management and 31.4% (11/35) among patients receiving standard body temperature management (P < 0.05). Among 3 patients who experienced myocardial injury in the aggressive body temperature management group, 2 met the diagnostic criteria for cTnI and hs-cTnT and only 1 met the diagnostic criteria for hs-cTnT. Among the 11 patients who experienced myocardial injury in the standard body temperature management group, 7 met the diagnostic criteria for cTnI and hs-cTnT and only 3 met the diagnostic criteria for hs-cTnT; only 1 met the diagnostic criteria for cTnI. The bias of cTnI and hs-cTnT was - 8.82 ± 31.91 ng/L. The consistency limit was - 71.37 ~ 53.73 ng/L. The proportion within the scope of the consistency of its corresponding boundary was 98.57%. The correlation coefficient of cTnI and hs-cTnT was 0.845 (P < 0.05). CONCLUSIONS In the evaluation of postoperative myocardial injury in patients undergoing curative resection of oesophageal cancer, cTnI and hs-cTnT exhibit high consistency and a good correlation. The combination of cTnI and hs-cTnT can improve the detection rate of myocardial injury, thus providing a better reference than a single measure alone for reducing the risk of perioperative myocardial injury in patients. TRIAL REGISTRATION ChiCTR-INR-17011621 . Registered June 10, 2017.
Collapse
Affiliation(s)
- Wei Gu
- Department of Anaesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 Huaihai Rd. West, Shanghai, China
| | - Wei Tang
- Department of Anaesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 Huaihai Rd. West, Shanghai, China
| | - Zuojing Zhang
- Department of Anaesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 Huaihai Rd. West, Shanghai, China
| | - Meiying Xu
- Department of Anaesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 Huaihai Rd. West, Shanghai, China
| | - Jingxiang Wu
- Department of Anaesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 Huaihai Rd. West, Shanghai, China.
| |
Collapse
|
39
|
Nestelberger T, Boeddinghaus J, Wussler D, Twerenbold R, Badertscher P, Wildi K, Miró Ò, López B, Martin-Sanchez FJ, Muzyk P, Koechlin L, Baumgartner B, Meier M, Troester V, Rubini Giménez M, Puelacher C, du Fay de Lavallaz J, Walter J, Kozhuharov N, Zimmermann T, Gualandro DM, Michou E, Potlukova E, Geigy N, Keller DI, Reichlin T, Mueller C. Predicting Major Adverse Events in Patients With Acute Myocardial Infarction. J Am Coll Cardiol 2020; 74:842-854. [PMID: 31416527 DOI: 10.1016/j.jacc.2019.06.025] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 05/06/2019] [Accepted: 06/03/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Early and accurate detection of short-term major adverse cardiac events (MACE) in patients with suspected acute myocardial infarction (AMI) is an unmet clinical need. OBJECTIVES The goal of this study was to test the hypothesis that adding clinical judgment and electrocardiogram findings to the European Society of Cardiology (ESC) high-sensitivity cardiac troponin (hs-cTn) measurement at presentation and after 1 h (ESC hs-cTn 0/1 h algorithm) would further improve its performance to predict MACE. METHODS Patients presenting to an emergency department with suspected AMI were enrolled in a prospective, multicenter diagnostic study. The primary endpoint was MACE, including all-cause death, cardiac arrest, AMI, cardiogenic shock, sustained ventricular arrhythmia, and high-grade atrioventricular block within 30 days including index events. The secondary endpoint was MACE + unstable angina (UA) receiving early (≤24 h) revascularization. RESULTS Among 3,123 patients, the ESC hs-cTnT 0/1 h algorithm triaged significantly more patients toward rule-out compared with the extended algorithm (60%; 95% CI: 59% to 62% vs. 45%; 95% CI: 43% to 46%; p < 0.001), while maintaining similar 30-day MACE rates (0.6%; 95% CI: 0.3% to 1.1% vs. 0.4%; 95% CI: 0.1% to 0.9%; p = 0.429), resulting in a similar negative predictive value (99.4%; 95% CI: 98.9% to 99.6% vs. 99.6%; 95% CI: 99.2% to 99.8%; p = 0.097). The ESC hs-cTnT 0/1 h algorithm ruled-in fewer patients (16%; 95% CI: 14.9% to 17.5% vs. 26%; 95% CI: 24.2% to 27.2%; p < 0.001) compared with the extended algorithm, albeit with a higher positive predictive value (76.6%; 95% CI: 72.8% to 80.1% vs. 59%; 95% CI: 55.5% to 62.3%; p < 0.001). For 30-day MACE + UA, the ESC hs-cTnT 0/1 h algorithm had a higher positive predictive value for rule-in, whereas the extended algorithm had a higher negative predictive value for the rule-out. Similar findings emerged when using hs-cTnI. CONCLUSIONS The ESC hs-cTn 0/1 h algorithm better balanced efficacy and safety in the prediction of MACE, whereas the extended algorithm is the preferred option for the rule-out of 30-day MACE + UA. (Advantageous Predictors of Acute Coronary Syndromes Evaluation [APACE]; NCT00470587).
Collapse
Affiliation(s)
- Thomas Nestelberger
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network. https://twitter.com/thomas_nest
| | - Jasper Boeddinghaus
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network; Department of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland. https://twitter.com/J_Boeddinghaus
| | - Desiree Wussler
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network; Department of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Raphael Twerenbold
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Patrick Badertscher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network; Division of Cardiology, University of Illinois at Chicago, Chicago, Illinois
| | - Karin Wildi
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network; Critical Care Research Institute, The Prince Charles Hospital, Brisbane and University of Queensland, Brisbane, Queensland, Australia
| | - Òscar Miró
- GREAT Network; Emergency Department, Hospital Clinic, Barcelona, Spain
| | - Beatriz López
- Emergency Department, Hospital Clinic, Barcelona, Spain
| | | | - Piotr Muzyk
- GREAT Network; 2(nd) Department of Cardiology, School of Medicine with the Division of Dentistry, Zabrze, Medical University of Katowice, Katowice, Poland
| | - Luca Koechlin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network; Department of Cardiac Surgery, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Benjamin Baumgartner
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Mario Meier
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Valentina Troester
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Maria Rubini Giménez
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Christian Puelacher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network; Department of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jeanne du Fay de Lavallaz
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Joan Walter
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Nikola Kozhuharov
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Tobias Zimmermann
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Danielle M Gualandro
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Eleni Michou
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network
| | - Eliska Potlukova
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Nicolas Geigy
- Emergency Department, Kantonsspital Baselland, Liestal, Switzerland
| | - Dagmar I Keller
- Emergency Department, University Hospital Zürich, Zürich, Switzerland
| | - Tobias Reichlin
- GREAT Network; Department of Cardiology, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; GREAT Network.
| |
Collapse
|
40
|
Chiang CH, Chiang CH, Lee GH, Gi WT, Wu YK, Huang SS, Yeo YH, Giannitsis E, Lee CC. Safety and efficacy of the European Society of Cardiology 0/1-hour algorithm for diagnosis of myocardial infarction: systematic review and meta-analysis. Heart 2020; 106:985-991. [PMID: 32245882 DOI: 10.1136/heartjnl-2019-316343] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 02/21/2020] [Accepted: 02/25/2020] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVE The European Society of Cardiology (ESC) 0/1 hour algorithm has been primarily validated in Europe, America and Australasia with less knowledge of its performance outside of these settings. We aim to evaluate the performance of the ESC 0/1 hour algorithm across different contexts. METHODS We searched PubMed, Embase, Scopus, Web of Science and the Cochrane Central Register of Controlled Trials for relevant studies published between 1 January 2008 and 31 May 2019. The primary outcome was index myocardial infarction and the secondary outcome was major adverse cardiac event or mortality. A bivariate random-effects meta-analysis was used to derive the pooled estimate of each outcome. RESULTS A total of 11 014 patients from 10 cohorts were analysed for the primary outcome. The algorithm based on high-sensitivity cardiac troponin (hs-cTn)T (Roche), hs-cTnI (Abbott) and hs-cTnI (Siemens) had pooled sensitivity of 98.4% (95% CI=95.1% to 99.5%), 98.1% (95% CI=94.6% to 99.3%) and 98.7% (95% CI=97.3% to 99.3%), respectively. The algorithm based on hs-cTnT (Roche) and hs-cTnI (Siemens) had pooled specificity of 91.2% (95% CI=86.0% to 94.6%) and 95.9% (95% CI=94.1% to 97.2%), respectively. Among patients in the rule-out category, the pooled mortality rate at 30 days and at 1 year was 0.1% (95% CI=0.0% to 0.4%) and 0.8% (95% CI=0.5% to 1.2%), respectively. Among patients in the observation zone, the pooled mortality rate was 0.7% (95% CI=0.3% to 1.2%) at 30 days but increased to 8.1% (95% CI=6.1% to 10.4%) at 1 year, comparable to the mortality rate in the rule-in group. CONCLUSION The ESC 0/1 hour algorithm has high diagnostic accuracy but may not be sufficiently safe if the 1% miss-rate for myocardial infarction is desired. PROSPERO REGISTRATION NUMBER CRD42019142280.
Collapse
Affiliation(s)
- Cho-Han Chiang
- Department of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Cho-Hung Chiang
- Department of Medicine, College of Medicine, Fu Jen Catholic University, Taipei, Taiwan
| | - Gin Hoong Lee
- Department of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Weng-Tein Gi
- Department of Internal Medicine III, Cardiology, Angiology and Pneumology, University of Heidelberg, Heidelberg, Germany
| | - Yuan-Kun Wu
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Sih-Shiang Huang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Yee Hui Yeo
- Division of General Internal Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Evangelos Giannitsis
- Department of Internal Medicine III, Cardiology, Angiology and Pneumology, University of Heidelberg, Heidelberg, Germany
| | - Chien-Chang Lee
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan .,Centre for Intelligent Healthcare, National Taiwan University Hospital, Taipei, Taiwan.,Health Data Science Research Group, National Taiwan University Hospital, Taipei, Taiwan
| |
Collapse
|
41
|
|
42
|
Tan WCJ, Inoue K, AbdelWareth L, Giannitsis E, Kasim S, Shiozaki M, Aw TC, Cheng F, Dung HT, Li YH, Lim SH, Lukito AA, Than M, Chu FY, Devasia T, Lee CC, Phrommintikul A, Youn JC, Chew DP. The Asia-Pacific Society of Cardiology (APSC) Expert Committee Consensus Recommendations for Assessment of Suspected Acute Coronary Syndrome Using High-Sensitivity Cardiac Troponin T in the Emergency Department. Circ J 2019; 84:136-143. [PMID: 31852863 DOI: 10.1253/circj.cj-19-0874] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The Asia-Pacific Society of Cardiology (APSC) high-sensitivity troponin T (hs-TnT) consensus recommendations and rapid algorithm were developed to provide guidance for healthcare professionals in the Asia-Pacific region on assessing patients with suspected acute coronary syndrome (ACS) using a hs-TnT assay. Experts from Asia-Pacific convened in 2 meetings to develop evidence-based consensus recommendations and an algorithm for appropriate use of the hs-TnT assay. The Expert Committee defined a cardiac troponin assay as a high-sensitivity assay if the total imprecision is ≤10% at the 99th percentile of the upper reference limit and measurable concentrations below the 99th percentile are attainable with an assay at a concentration value above the assay's limit of detection for at least 50% of healthy individuals. Recommendations for single-measurement rule-out/rule-in cutoff values, as well as for serial measurements, were also developed. The Expert Committee also adopted similar hs-TnT cutoff values for men and women, recommended serial hs-TnT measurements for special populations, and provided guidance on the use of point-of-care troponin T devices in individuals suspected of ACS. These recommendations should be used in conjunction with all available clinical evidence when making the diagnosis of ACS.
Collapse
Affiliation(s)
- Wei Chieh Jack Tan
- Department of Cardiology, National Heart Centre Singapore.,Department of Cardiology, Sengkang General Hospital
| | - Kenji Inoue
- Department of Cardiology, Juntendo University Nerima Hospital
| | | | - Evangelos Giannitsis
- Departments of Cardiology, Angiology and Pulmonology, University Hospital Heidelberg
| | | | | | - Tar Choon Aw
- Department of Laboratory Medicine, Changi General Hospital
| | | | - Ho Thuong Dung
- Cardiovascular Center and Interventional Cardiology, Thong Nhat Hospital
| | - Yi-Heng Li
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University
| | - Swee Han Lim
- Department of Emergency Medicine, Singapore General Hospital
| | | | - Martin Than
- Department of Emergency Medicine, Christchurch Public Hospital
| | - Fang-Yeh Chu
- Department of Clinical Pathology, Far Eastern Memorial Hospital.,Graduate School of Biotechnology and Bioengineering, Yuan Ze University.,Department of Medical Laboratory Science and Biotechnology, Yuanpei University of Medical Technology
| | - Tom Devasia
- Department of Cardiology, Kasturba Medical College, Manipal Academy of Higher Education
| | - Chien-Chang Lee
- Department of Emergency Medicine, National Taiwan University Hospital
| | | | - Jong-Chan Youn
- Division of Cardiology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea
| | - Derek P Chew
- Department of Cardiovascular Medicine, Flinders University
| |
Collapse
|
43
|
(Application of 0/1-h high sensitivity cardiac troponin algorithm in the cardiology outpatient department). COR ET VASA 2019. [DOI: 10.33678/cor.2019.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|
44
|
Sörensen NA, Neumann JT, Ojeda F, Giannitsis E, Spanuth E, Blankenberg S, Westermann D, Zeller T. Diagnostic Evaluation of a High-Sensitivity Troponin I Point-of-Care Assay. Clin Chem 2019; 65:1592-1601. [DOI: 10.1373/clinchem.2019.307405] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 08/30/2019] [Indexed: 11/06/2022]
Abstract
Abstract
BACKGROUND
Increasing numbers of patients are presenting worldwide to emergency departments with suspected myocardial infarction. The use of point-of-care troponin assays might enable faster decision-making in this high-risk population and reduce the burden on emergency facilities. Here, we evaluate the diagnostic performance of a point-of-care high-sensitivity troponin I assay.
METHODS
We conducted a prospective cohort study including patients presenting to the emergency department with suspected myocardial infarction from July 2013 to July 2016. A diagnostic algorithm for a high-sensitivity troponin I point-of-care assay was developed in a derivation data set with 669 patients and validated in an additional 610 patients.
RESULTS
The derived 0/1 h algorithm for the point-of-care assay consisted of an admission troponin I <4 ng/L and a δ from 0 h to 1 h <3 ng/L for rule out and an admission troponin I ≥90 ng/L or a δ from 0 h to 1 h ≥20 ng/L for rule in of non-ST-elevation myocardial infarction. Application to the validation cohort showed a negative predictive value of 99.7% (95% CI, 98.1%–100.0%) and 48.0% of patients ruled out, whereas 14.6% were ruled in with a positive predictive value of 86.5% (95% CI, 77.6%–92.8%). The diagnostic performance of the point-of-care high-sensitivity assay was highly comparable to guideline-recommended use of a laboratory-based high-sensitivity troponin assay.
CONCLUSIONS
The clinical application of a 0/1 h diagnostic algorithm based on a high-sensitivity troponin I point-of-care assay is safe, and diagnostic performance is comparable to a laboratory-based high-sensitivity troponin I assay.
Collapse
Affiliation(s)
- Nils A Sörensen
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Johannes T Neumann
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Francisco Ojeda
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany
| | - Evangelos Giannitsis
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany
| | | | - Stefan Blankenberg
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Dirk Westermann
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Tanja Zeller
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| |
Collapse
|
45
|
Amann M, Gaiser F, Schwenk SI, Rahimi F, Schmitz R, Mashayekhi K, Ferenc M, Neumann FJ, Valina CM, Hochholzer W. Evaluation of a 1-hour troponin algorithm for diagnosing myocardial infarction in high-risk patients admitted to a chest pain unit: the prospective FAST-MI cohort study. BMJ Open 2019; 9:e032124. [PMID: 31699742 PMCID: PMC6858235 DOI: 10.1136/bmjopen-2019-032124] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVE This study sought to evaluate the diagnostic performance of the 1-hour troponin algorithm for diagnosis of myocardial infarction (MI) without persistent ST-segment elevations (non-ST-segment MI (NSTEMI)) in a cohort with a high prevalence of MI. This algorithm recommend by current guidelines was previously developed in cohorts with a prevalence of MI of less than 20%. DESIGN Prospective cohort study from November 2015 until December 2016. SETTING Dedicated chest pain unit of a single referral centre. PARTICIPANTS Consecutive patients with suspected MI were screened. Patients with subacute symptoms lasting more than 24 hours, new ST-segment elevations at presentation, or an already diagnosed or ruled-out acute MI were excluded. All enrolled patients (n=1317) underwent a full clinical assessment and measurements of high-sensitivity troponin, and were scheduled for an early invasive strategy if clinically indicated. MAIN OUTCOME MEASURES Final diagnosis of MI according to the Fourth Universal Definition of MI. RESULTS The prevalence of NSTEMI in the present cohort was 36.9%. The sensitivity for rule-out of MI was 99.8%. The specificity for rule-in of MI was found to be 94.3%. However, in 35.7% of patients neither rule-in nor rule-out was possible. In 51.4% of patients diagnosed with MI, a primary non-coronary reason for MI was found (type 2 MI). Different receiver operating characteristic-curve derived cut-offs for troponin and its dynamics did not provide a sufficient differentiation between type 1 and 2 MI for clinical decision making (negative predictive value for rule-out of type 1 MI <70%). CONCLUSIONS The 1-hour diagnosis algorithm for patients with suspected NSTEMI can accurately diagnose acute MI in high-risk cohorts. However, discrimination between patients needing an early invasive strategy or not is limited. TRIAL REGISTRATION NUMBER DRKS00009713.
Collapse
Affiliation(s)
- Michael Amann
- Department of Cardiology and Angiology II, University Heart Center Freiburg-Bad Krozingen, Bad Krozingen, Germany
| | - Felix Gaiser
- Department of Cardiology and Angiology II, University Heart Center Freiburg-Bad Krozingen, Bad Krozingen, Germany
| | - Sandra Iris Schwenk
- Department of Cardiology and Angiology II, University Heart Center Freiburg-Bad Krozingen, Bad Krozingen, Germany
| | - Faridun Rahimi
- Department of Cardiology and Angiology II, University Heart Center Freiburg-Bad Krozingen, Bad Krozingen, Germany
| | - Roland Schmitz
- Department of Cardiology and Angiology II, University Heart Center Freiburg-Bad Krozingen, Bad Krozingen, Germany
| | - Kambis Mashayekhi
- Department of Cardiology and Angiology II, University Heart Center Freiburg-Bad Krozingen, Bad Krozingen, Germany
| | - Miroslaw Ferenc
- Department of Cardiology and Angiology II, University Heart Center Freiburg-Bad Krozingen, Bad Krozingen, Germany
| | - Franz-Josef Neumann
- Department of Cardiology and Angiology II, University Heart Center Freiburg-Bad Krozingen, Bad Krozingen, Germany
| | - Christian Marc Valina
- Department of Cardiology and Angiology II, University Heart Center Freiburg-Bad Krozingen, Bad Krozingen, Germany
| | - Willibald Hochholzer
- Department of Cardiology and Angiology II, University Heart Center Freiburg-Bad Krozingen, Bad Krozingen, Germany
| |
Collapse
|
46
|
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: 38] [Impact Index Per Article: 7.6] [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.
Collapse
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
| | | |
Collapse
|
47
|
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.
Collapse
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.)
| |
Collapse
|
48
|
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.
Collapse
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
| |
Collapse
|
49
|
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.
Collapse
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
| | | |
Collapse
|
50
|
Arslan M, Dedic A, Boersma E, Dubois EA. Serial high-sensitivity cardiac troponin T measurements to rule out acute myocardial infarction and a single high baseline measurement for swift rule-in: A systematic review and meta-analysis. EUROPEAN HEART JOURNAL-ACUTE CARDIOVASCULAR CARE 2019; 9:14-22. [PMID: 30618277 PMCID: PMC7008551 DOI: 10.1177/2048872618819421] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Aims: The purpose of this study was to determine (a) the ability of serial high-sensitivity cardiac troponin T measurements to rule out acute myocardial infarction and (b) the ability of a single high baseline high-sensitivity cardiac troponin T measurement to rule in acute myocardial infarction in patients presenting to the emergency department with acute chest pain. Methods and results: Embase, Medline, Cochrane, Web of Science and Google scholar were searched for prospective cohort studies that evaluated parameters of diagnostic accuracy of serial high-sensitivity cardiac troponin T to rule out acute myocardial infarction and a single baseline high-sensitivity cardiac troponin T value>50 ng/l to rule in acute myocardial infarction. The search yielded 21 studies for the systematic review, of which 14 were included in the meta-analysis, with a total of 11,929 patients and an overall prevalence of acute myocardial infarction of 13.0%. For rule-out, six studies presented the sensitivity of serial measurements <14 ng/l. This cut-off classified 60.1% of patients as rule-out and the summary sensitivity was 96.7% (95% confidence interval: 92.3–99.3). Three studies presented the sensitivity of a one-hour algorithm with a baseline high-sensitivity cardiac troponin T value<12 ng/l and delta 1 hour <3 ng/l. This algorithm classified 60.2% of patients as rule-out and the summary sensitivity was 98.9% (96.4–100). For rule-in, six studies reported the specificity of baseline high-sensitivity cardiac troponin T value>50 ng/l. The summary specificity was 94.6% (91.5–97.1). Conclusion: Serial high-sensitivity cardiac troponin T measurement strategies to rule out acute myocardial infarction perform well, and a single baseline high-sensitivity cardiac troponin T value>50 ng/l to rule in acute myocardial infarction has a high specificity.
Collapse
Affiliation(s)
- M Arslan
- Department of Cardiology, Erasmus Medical Centre, The Netherlands
| | - A Dedic
- Department of Cardiology, Erasmus Medical Centre, The Netherlands
| | - E Boersma
- Department of Cardiology, Erasmus Medical Centre, The Netherlands.,Department of Clinical Epidemiology, Erasmus Medical Centre, The Netherlands
| | - E A Dubois
- Department of Cardiology, Erasmus Medical Centre, The Netherlands
| |
Collapse
|