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Lurati Buse G, Bollen Pinto B, Abelha F, Abbott TEF, Ackland G, Afshari A, De Hert S, Fellahi JL, Giossi L, Kavsak P, Longrois D, M'Pembele R, Nucaro A, Popova E, Puelacher C, Richards T, Roth S, Sheka M, Szczeklik W, van Waes J, Walder B, Chew MS. ESAIC focused guideline for the use of cardiac biomarkers in perioperative risk evaluation. Eur J Anaesthesiol 2023; 40:888-927. [PMID: 37265332 DOI: 10.1097/eja.0000000000001865] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
BACKGROUND In recent years, there has been increasing focus on the use of cardiac biomarkers in patients undergoing noncardiac surgery. AIMS The aim of this focused guideline was to provide updated guidance regarding the pre-, post- and combined pre-and postoperative use of cardiac troponin and B-type natriuretic peptides in adult patients undergoing noncardiac surgery. METHODS The guidelines were prepared using Grading of Recommendations Assessment Development and Evaluation (GRADE) methodology. This included the definition of critical outcomes, a systematic literature search, appraisal of certainty of evidence, evaluation of biomarker measurement in terms of the balance of desirable and undesirable effects including clinical outcomes, resource use, health inequality, stakeholder acceptance, and implementation. The panel differentiated between three different scopes of applications: cardiac biomarkers as prognostic factors, as tools for risk prediction, and for biomarker-enhanced management strategies. RESULTS In a modified Delphi process, the task force defined 12 critical outcomes. The systematic literature search resulted in over 25,000 hits, of which 115 full-text articles formed the body of evidence for recommendations. The evidence appraisal indicated heterogeneity in the certainty of evidence across critical outcomes. Further, there was relevant gradient in the certainty of evidence across the three scopes of application. Recommendations were issued and if this was not possible due to limited evidence, clinical practice statements were produced. CONCLUSION The ESAIC focused guidelines provide guidance on the perioperative use of cardiac troponin and B-type natriuretic peptides in patients undergoing noncardiac surgery, for three different scopes of application.
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Affiliation(s)
- Giovanna Lurati Buse
- From the Department of Anaesthesiology, University Hospital Dusseldorf, Dusseldorf, Germany (GLB, RMP, AN, SR), Division of Anaesthesiology, Geneva University Hospitals (HUG), Geneva, Switzerland (BBP, MS, BW), Department of Anesthesiology, Centro Hospitalar Universitário de São João, Porto, Portugal (FA), Cardiovascular Research and Development Center (UnIC@RISE), Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal (FA), William Harvey Research Institute, Queen Mary University of London, London, UK (TEA, GA), Department of Anaesthesia and Perioperative Medicine, Royal London Hospital, Barts Health NHS Trust, London, UK (GA), Department of Paediatric and Obstetric Anaesthesia, Rigshospitalet & Department of Clinical Medicine, Copenhagen University, Denmark (AA), Department of Anaesthesiology and Perioperative Medicine, Ghent University Hospital, Ghent University, Ghent, Belgium (SDH), Service d'Anesthésie-Réanimation, Hôpital Universitaire Louis Pradel, Hospices Civils de Lyon, 59 boulevard Pinel, 69500 Lyon, France (J-LF), "Patients as Partners" program, Geneva University Hospitals (HUG), Geneva, Switzerland (LG), Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada (PK), Department of Anesthesiology and Intensive Care, Bichat Claude-Bernard Hospital, Assistance Publique-Hopitaux de Paris - Nord, University of Paris, INSERM U1148, Paris, France (DL), Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain (EP), Centro Cochrane Iberoamericano, Barcelona, Spain (EP), Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel-Stadt, Switzerland (CP), Department of Internal Medicine, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Basel-Stadt, Switzerland (CP), Division of Surgery, University of Western Australia, Perkins South Building, Fiona Stanley Hospital, Murdoch, Perth, WA, Australia (TR), Institute of Clinical Trials and Methodology and Division of Surgery, University College London, UK (TR), Department of Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland (WS), Department of Anesthesiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands (JvW), Department of Anaesthesia and Intensive Care, Biomedical and Clinical Sciences, Linköping University Hospital, Sweden (MSC)
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Atar D, Rosseland LA, Jammer I, Aakre KM, Wiseth R, Molund M, Gualandro DM, Omland T. Implementing screening for myocardial injury in non-cardiac surgery: perspectives of an ad-hoc interdisciplinary expert group. SCAND CARDIOVASC J 2023; 57:31-39. [PMID: 37141087 DOI: 10.1080/14017431.2022.2112071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Objectives. Perioperative myocardial injury (PMI) is increasingly recognised as an important complication of non-cardiac surgery, with often clinically silent presentation, but detrimental prognosis. Active screening for PMI, involving the detection of dynamic and elevated levels of cardiac troponin, has recently been advocated by an increasing number of guidelines; however, active PMI screening has not been reflected in clinical practice. Design. As consensus on a common screening and management pathway is lacking, we synthesise the current evidence to provide suggestions on the selection of patients for screening, organisation of a screening program, and a potential management pathway, building upon a recently published perioperative screening algorithm. Results. Screening should be performed using high-sensitivity assays both preoperatively and postoperatively (postoperative Days 1 and 2) in patients at high-risk of experiencing perioperative complications. Conclusion. This expert opinion piece by an interdisciplinary group of predominantly Norwegian clinicians aims to assist healthcare professionals planning to implement guideline-recommended PMI screening at a local level in order to improve patient outcomes following non-cardiac surgery.
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Affiliation(s)
- Dan Atar
- Department of Cardiology, Oslo University Hospital Ulleval, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Leiv Arne Rosseland
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway
| | - Ib Jammer
- Department of Anaesthesia and Intensive Care, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Kristin Moberg Aakre
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Rune Wiseth
- Clinic of Cardiology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Circulation and Medical Imaging, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Marius Molund
- Department of Orthopaedic Surgery, Østfold Hospital Trust, Grålum, Norway
| | - Danielle M Gualandro
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Switzerland
| | - Torbjørn Omland
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Cardiology, Akershus University Hospital, Lørenskog, Norway
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Chang Y, Zhou M, Huang J, Wang Y, Shao J. Incidence and risk factors of postoperative acute myocardial injury in noncardiac patients: A systematic review and meta-analysis. PLoS One 2023; 18:e0286431. [PMID: 37319136 PMCID: PMC10270363 DOI: 10.1371/journal.pone.0286431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 05/16/2023] [Indexed: 06/17/2023] Open
Abstract
INTRODUCTION Postoperative myocardial injury after noncardiac surgery is common and is associated with short- and long-term morbidity and mortality. However, the incidence and risk factors for postoperative acute myocardial injury (POAMI) are currently unknown due to inconsistent definitions. METHODS We systematically searched PubMed and Web of Science to identify studies that applied the change value of preoperative and postoperative cardiac troponins to define cardiac injury. We estimated the pooled incidence, risk factors, and 30-day and long-term mortality of POAMI in noncardiac patients. The study protocol was registered with PROSPERO, CRD42023401607. RESULTS Ten cohorts containing 11,494 patients were included for analysis. The pooled incidence of POAMI was 20% (95% CI: 16% to 23%). Preoperative hypertension (OR: 1.47; 95% CI: 1.30 to 1.66), cardiac failure (OR: 2.63; 95% CI: 2.01 to 3.44), renal impairment (OR: 1.66; 95% CI: 1.48 to 1.86), diabetes (OR: 1.43; 95% CI: 1.27 to 1.61), and preoperative beta-blocker intake (OR: 1.65; 95% CI: 1.10 to 2.49) were the risk factors for POAMI. Age (mean difference: 2.08 years; 95% CI: -0.47 to 4.62), sex (male, OR: 1.16; 95% CI: 0.77 to 1.76), body mass index (mean difference: 0.35; 95% CI: -0.86 to 1.57), preoperative coronary artery disease (OR: 2.10; 95% CI: 0.85 to 5.21), stroke (OR: 0.90; 95% CI: 0.50 to 1.59) and preoperative statins intake (OR: 0.65; 95% CI: 0.21 to 2.02) were not associated with POAMI. Patients with POAMI had higher preoperative hsTnT levels (mean difference: 5.92 ng/L; 95% CI: 4.17 to 7.67) and lower preoperative hemoglobin levels (mean difference: -1.29 g/dL; 95% CI: -1.43 to -1.15) than patients without. CONCLUSION Based on this meta-analysis, approximately 1 in 5 of noncardiac patients develop POAMI. However, the lack of a universally recognized definition for POAMI, which incorporates diverse cardiac biomarkers and patient groups, poses a challenge in accurately characterizing its incidence, risk factors, and clinical outcomes.
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Affiliation(s)
- Yuan Chang
- Department of Anesthesiology, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Mengjiao Zhou
- Department of Anesthesiology, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jing Huang
- Department of Anesthesiology, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yanqiong Wang
- Department of Anesthesiology, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jianlin Shao
- Department of Anesthesiology, the First Affiliated Hospital of Kunming Medical University, Kunming, China
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Strickland SS, Quintela EM, Wilson MJ, Lee MJ. Long-term major adverse cardiovascular events following myocardial injury after non-cardiac surgery: meta-analysis. BJS Open 2023; 7:7142743. [PMID: 37104754 PMCID: PMC10129390 DOI: 10.1093/bjsopen/zrad021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 12/12/2022] [Accepted: 01/27/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND Myocardial injury after non-cardiac surgery is diagnosed following asymptomatic troponin elevation in the perioperative interval. Myocardial injury after non-cardiac surgery is associated with high mortality rates and significant rates of major adverse cardiac events within the first 30 days following surgery. However, less is known regarding its impact on mortality and morbidity beyond this time. This systematic review and meta-analysis aimed to establish the rates of long-term morbidity and mortality associated with myocardial injury after non-cardiac surgery. METHODS MEDLINE, Embase and Cochrane CENTRAL were searched, and abstracts screened by two reviewers. Observational studies and control arms of trials, reporting mortality and cardiovascular outcomes beyond 30 days in adult patients diagnosed with myocardial injury after non-cardiac surgery, were included. Risk of bias was assessed using the Quality in Prognostic Studies tool. A random-effects model was used for the meta-analysis of outcome subgroups. RESULTS Searches identified 40 studies. The meta-analysis of 37 cohort studies found a rate of major adverse cardiac events-associated myocardial injury after non-cardiac surgery of 21 per cent and mortality following myocardial injury after non-cardiac surgery was 25 per cent at 1-year follow-up. A non-linear increase in mortality rate was observed up to 1 year after surgery. Major adverse cardiac event rates were also lower in elective surgery compared with a subgroup including emergency cases. The analysis demonstrated a wide variety of accepted myocardial injury after non-cardiac surgery and major adverse cardiac events diagnostic criteria within the included studies. CONCLUSION A diagnosis of myocardial injury after non-cardiac surgery is associated with high rates of poor cardiovascular outcomes up to 1 year after surgery. Work is needed to standardize diagnostic criteria and reporting of myocardial injury after non-cardiac surgery-related outcomes. REGISTRATION This review was prospectively registered with PROSPERO in October 2021 (CRD42021283995).
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Affiliation(s)
- Scarlett S Strickland
- Academic Directorate of General Surgery, Sheffield Teaching Hospitals, Sheffield, UK
| | - Ella M Quintela
- Department of Anaesthesia, Sheffield Teaching Hospitals, Sheffield, UK
- Centre for Urgent and Emergency Care Research, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Matthew J Wilson
- Department of Anaesthesia, Sheffield Teaching Hospitals, Sheffield, UK
- Centre for Urgent and Emergency Care Research, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Matthew J Lee
- Academic Directorate of General Surgery, Sheffield Teaching Hospitals, Sheffield, UK
- Department of Oncology and Metabolism, The Medical School, University of Sheffield, Sheffield, UK
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Manthou P, Lioliousis G, Korobeli A, Vasileiou P, Fildisis G. The Predictive Role of Cardiac Troponin in Non-cardiac Surgery: A Study in the Greek Population. Cureus 2022; 14:e25408. [PMID: 35765400 PMCID: PMC9233922 DOI: 10.7759/cureus.25408] [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] [Accepted: 05/27/2022] [Indexed: 11/05/2022] Open
Abstract
Introduction The incidence of postoperative myocardial ischemia (POMI) remains uncertain and underdiagnosed despite significant morbidity and mortality rates. Methods This study included patients who underwent non-cardiac surgery. Troponin T (TnT) was measured on the first three postoperative days. The revised cardiac risk index, HAS-BLED (hypertension, abnormal renal/liver function, stroke, bleeding history or predisposition, labile international normalized ratio (INR), elderly, drugs/alcohol concomitantly) bleeding score, and CHA2DS2-VASc (congestive heart failure, hypertension, age ≥ 75 years, diabetes mellitus, stroke or transient ischemic attack (TIA), vascular disease, age 65 to 74 years, sex category) score were combined. The receiver operating characteristic (ROC) curve was used to estimate the discriminative ability of preoperative troponin for myocardial ischemia (MI). Results Of 105 patients with a mean age of 69.1 years, 32.4% had MI. Hypertension, diabetes mellitus, and dyslipidemia were the main risk factors. A ROC analysis indicated that a preoperative value of 17.2 pg/ml or higher of troponin was significantly associated with MI. Moreover, a higher CHA2DS2-VASc score was associated with POMI. Conclusions POMI is associated with high mortality and a long stay in the intensive care unit. Routine use of different scores before surgery can be very useful.
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Park J, Lee JH. Myocardial injury in noncardiac surgery. Korean J Anesthesiol 2021; 75:4-11. [PMID: 34657407 PMCID: PMC8831428 DOI: 10.4097/kja.21372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 10/17/2021] [Indexed: 11/13/2022] Open
Abstract
Myocardial injury is defined as an elevation of cardiac troponin (cTn) levels with or without associated ischemic symptoms. Robust evidence suggests that myocardial injury increases postoperative mortality after noncardiac surgery. The diagnostic criteria for myocardial injury after noncardiac surgery (MINS) include an elevation of cTn levels within 30 d of surgery without evidence of non-ischemic etiology. The majority of cases of MINS do not present with ischemic symptoms and are caused by a mismatch in oxygen supply and demand. Predictive models for general cardiac risk stratification can be considered for MINS. Risk factors include comorbidities, anemia, glucose levels, and intraoperative blood pressure. Modifiable factors may help prevent MINS; however, further studies are needed. Recent guidelines recommend routine monitoring of cTn levels during the first 48 h post-operation in high-risk patients since MINS most often occurs in the first 3 days after surgery without symptoms. The use of cardiovascular drugs, such as aspirin, antihypertensives, and statins, has had beneficial effects in patients with MINS, and direct oral anticoagulants have been shown to reduce the mortality associated with MINS in a randomized controlled trial. Myocardial injury detected before noncardiac surgery was also found to be associated with postoperative mortality, though further studies are needed.
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Affiliation(s)
- Jungchan Park
- Department of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong-Hwan Lee
- Department of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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Gualandro DM, Puelacher C, Lurati Buse G, Glarner N, Cardozo FA, Vogt R, Hidvegi R, Strunz C, Bolliger D, Gueckel J, Yu PC, Liffert M, Arslani K, Prepoudis A, Calderaro D, Hammerer-Lercher A, Lampart A, Steiner LA, Schären S, Kindler C, Guerke L, Osswald S, Devereaux PJ, Caramelli B, Mueller C. Incidence and outcomes of perioperative myocardial infarction/injury diagnosed by high-sensitivity cardiac troponin I. Clin Res Cardiol 2021; 110:1450-1463. [PMID: 33768367 PMCID: PMC8405484 DOI: 10.1007/s00392-021-01827-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 02/21/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND Perioperative myocardial infarction/injury (PMI) diagnosed by high-sensitivity troponin (hs-cTn) T is frequent and a prognostically important complication of non-cardiac surgery. We aimed to evaluate the incidence and outcome of PMI diagnosed using hs-cTnI, and compare it to PMI diagnosed using hs-cTnT. METHODS We prospectively included 2455 patients at high cardiovascular risk undergoing 3111 non-cardiac surgeries, for whom hs-cTnI and hs-cTnT concentrations were measured before surgery and on postoperative days 1 and 2. PMI was defined as a composite of perioperative myocardial infarction (PMIInfarct) and perioperative myocardial injury (PMIInjury), according to the Fourth Universal Definition of Myocardial Infarction. All-cause mortality was the primary endpoint. RESULTS Using hs-cTnI, the incidence of overall PMI was 9% (95% confidence interval [CI] 8-10%), including PMIInfarct 2.6% (95% CI 2.0-3.2) and PMIInjury 6.1% (95% CI 5.3-6.9%), which was lower versus using hs-cTnT: overall PMI 15% (95% CI 14-16%), PMIInfarct 3.7% (95% CI 3.0-4.4) and PMIInjury 11.3% (95% CI 10.2-12.4%). All-cause mortality occurred in 52 (2%) patients within 30 days and 217 (9%) within 1 year. Using hs-cTnI, both PMIInfarct and PMIInjury were independent predictors of 30-day all-cause mortality (adjusted hazard ratio [aHR] 2.5 [95% CI 1.1-6.0], and aHR 2.8 [95% CI 1.4-5.5], respectively) and, 1-year all-cause mortality (aHR 2.0 [95% CI 1.2-3.3], and aHR 1.8 [95% CI 1.2-2.7], respectively). Overall, the prognostic impact of PMI diagnosed by hs-cTnI was comparable to the prognostic impact of PMI using hs-cTnT. CONCLUSIONS Using hs-cTnI, PMI is less common versus using hs-cTnT. Using hs-cTnI, both PMIInfarct and PMIInjury remain independent predictors of 30-day and 1-year mortality.
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Affiliation(s)
- Danielle M Gualandro
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland.
- Interdisciplinary Medicine in Cardiology Unit, Cardiology Department, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, Brazil.
| | - Christian Puelacher
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
| | - Giovanna Lurati Buse
- Department of Anesthesiology, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Noemi Glarner
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
| | - Francisco A Cardozo
- Interdisciplinary Medicine in Cardiology Unit, Cardiology Department, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, Brazil
| | - Ronja Vogt
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
| | - Reka Hidvegi
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
- Department of Anesthesiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Celia Strunz
- Laboratory Medicine, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, Brazil
| | - Daniel Bolliger
- Department of Anesthesiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Johanna Gueckel
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
| | - Pai C Yu
- Interdisciplinary Medicine in Cardiology Unit, Cardiology Department, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, Brazil
| | - Marcel Liffert
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
- Department of Anesthesiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Ketina Arslani
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
| | - Alexandra Prepoudis
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
| | - Daniela Calderaro
- Interdisciplinary Medicine in Cardiology Unit, Cardiology Department, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, Brazil
| | | | - Andreas Lampart
- Department of Anesthesiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Luzius A Steiner
- Department of Laboratory Medicine, University of Basel, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Stefan Schären
- Department of Spinal Surgery, University Hospital Basel, Basel, Switzerland
| | - Christoph Kindler
- Department of Anesthesiology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - Lorenz Guerke
- Department of Vascular Surgery, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Stefan Osswald
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
| | - P J Devereaux
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Anesthesiology, Perioperative Medicine, and Surgical Research Unit C/o Hamilton General Hospital, McMaster University, Hamilton, Canada
| | - Bruno Caramelli
- Interdisciplinary Medicine in Cardiology Unit, Cardiology Department, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, Brazil
| | - Christian Mueller
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4056, Basel, Switzerland
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