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Manzi L, Sperandeo L, Forzano I, Castiello DS, Florimonte D, Paolillo R, Santoro C, Mancusi C, Di Serafino L, Esposito G, Gargiulo G. Contemporary Evidence and Practice on Right Heart Catheterization in Patients with Acute or Chronic Heart Failure. Diagnostics (Basel) 2024; 14:136. [PMID: 38248013 PMCID: PMC10814482 DOI: 10.3390/diagnostics14020136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/21/2023] [Accepted: 01/04/2024] [Indexed: 01/23/2024] Open
Abstract
Heart failure (HF) has a global prevalence of 1-2%, and the incidence around the world is growing. The prevalence increases with age, from around 1% for those aged <55 years to >10% for those aged 70 years or over. Based on studies in hospitalized patients, about 50% of patients have heart failure with reduced ejection fraction (HFrEF), and 50% have heart failure with preserved ejection fraction (HFpEF). HF is associated with high morbidity and mortality, and HF-related hospitalizations are common, costly, and impact both quality of life and prognosis. More than 5-10% of patients deteriorate into advanced HF (AdHF) with worse outcomes, up to cardiogenic shock (CS) condition. Right heart catheterization (RHC) is essential to assess hemodynamics in the diagnosis and care of patients with HF. The aim of this article is to review the evidence on RHC in various clinical scenarios of patients with HF.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Giuseppe Gargiulo
- Department of Advanced Biomedical Sciences, Federico II University of Naples, 80131 Naples, Italy; (L.M.); (L.S.); (I.F.); (D.S.C.); (D.F.); (R.P.); (C.S.); (C.M.); (L.D.S.); (G.E.)
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2
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Pieske B, Tschöpe C, de Boer RA, Fraser AG, Anker SD, Donal E, Edelmann F, Fu M, Guazzi M, Lam CSP, Lancellotti P, Melenovsky V, Morris DA, Nagel E, Pieske-Kraigher E, Ponikowski P, Solomon SD, Vasan RS, Rutten FH, Voors AA, Ruschitzka F, Paulus WJ, Seferovic P, Filippatos G. How to diagnose heart failure with preserved ejection fraction: the HFA-PEFF diagnostic algorithm: a consensus recommendation from the Heart Failure Association (HFA) of the European Society of Cardiology (ESC). Eur Heart J 2020; 40:3297-3317. [PMID: 31504452 DOI: 10.1093/eurheartj/ehz641] [Citation(s) in RCA: 775] [Impact Index Per Article: 193.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 10/30/2018] [Accepted: 08/26/2019] [Indexed: 02/07/2023] Open
Abstract
Making a firm diagnosis of chronic heart failure with preserved ejection fraction (HFpEF) remains a challenge. We recommend a new stepwise diagnostic process, the 'HFA-PEFF diagnostic algorithm'. Step 1 (P=Pre-test assessment) is typically performed in the ambulatory setting and includes assessment for HF symptoms and signs, typical clinical demographics (obesity, hypertension, diabetes mellitus, elderly, atrial fibrillation), and diagnostic laboratory tests, electrocardiogram, and echocardiography. In the absence of overt non-cardiac causes of breathlessness, HFpEF can be suspected if there is a normal left ventricular ejection fraction, no significant heart valve disease or cardiac ischaemia, and at least one typical risk factor. Elevated natriuretic peptides support, but normal levels do not exclude a diagnosis of HFpEF. The second step (E: Echocardiography and Natriuretic Peptide Score) requires comprehensive echocardiography and is typically performed by a cardiologist. Measures include mitral annular early diastolic velocity (e'), left ventricular (LV) filling pressure estimated using E/e', left atrial volume index, LV mass index, LV relative wall thickness, tricuspid regurgitation velocity, LV global longitudinal systolic strain, and serum natriuretic peptide levels. Major (2 points) and Minor (1 point) criteria were defined from these measures. A score ≥5 points implies definite HFpEF; ≤1 point makes HFpEF unlikely. An intermediate score (2-4 points) implies diagnostic uncertainty, in which case Step 3 (F1: Functional testing) is recommended with echocardiographic or invasive haemodynamic exercise stress tests. Step 4 (F2: Final aetiology) is recommended to establish a possible specific cause of HFpEF or alternative explanations. Further research is needed for a better classification of HFpEF.
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Affiliation(s)
- Burkert Pieske
- Department of Internal Medicine and Cardiology, Charité - Universitätsmedizin Berlin, Campus Virchow Klinikum.,German Center for Cardiovascular Research (DZHK), Berlin, Partner Site, Germany.,Department of Internal Medicine and Cardiology, German Heart Institute, Berlin, Germany.,Berlin Institute of Health (BIH), Germany
| | - Carsten Tschöpe
- Department of Internal Medicine and Cardiology, Charité - Universitätsmedizin Berlin, Campus Virchow Klinikum.,German Center for Cardiovascular Research (DZHK), Berlin, Partner Site, Germany.,Berlin Institute of Health (BIH) Center for Regenerative Therapies (BCRT), Charite, Berlin, Germany
| | - Rudolf A de Boer
- University Medical Centre Groningen, University of Groningen, Department of Cardiology, Groningen, the Netherlands
| | | | - Stefan D Anker
- Department of Internal Medicine and Cardiology, Charité - Universitätsmedizin Berlin, Campus Virchow Klinikum.,German Center for Cardiovascular Research (DZHK), Berlin, Partner Site, Germany.,Berlin Institute of Health (BIH) Center for Regenerative Therapies (BCRT), Charite, Berlin, Germany.,Department of Cardiology and Pneumology, University Medicine Göttingen (UMG), Germany
| | - Erwan Donal
- Cardiology and CIC, IT1414, CHU de Rennes LTSI, Université Rennes-1, INSERM 1099, Rennes, France
| | - Frank Edelmann
- Department of Internal Medicine and Cardiology, Charité - Universitätsmedizin Berlin, Campus Virchow Klinikum.,German Center for Cardiovascular Research (DZHK), Berlin, Partner Site, Germany
| | - Michael Fu
- Section of Cardiology, Department of Medicine, Sahlgrenska University Hosptal/Ostra, Göteborg, Sweden
| | - Marco Guazzi
- Department of Biomedical Sciences for Health, University of Milan, IRCCS, Milan, Italy.,Department of Cardiology, IRCCS Policlinico, San Donato Milanese, Milan, Italy
| | - Carolyn S P Lam
- National Heart Centre, Singapore & Duke-National University of Singapore.,University Medical Centre Groningen, The Netherlands
| | - Patrizio Lancellotti
- Department of Cardiology, Heart Valve Clinic, University of Liège Hospital, GIGA Cardiovascular Sciences, CHU Sart Tilman, Liège, Belgium
| | - Vojtech Melenovsky
- Institute for Clinical and Experimental Medicine - IKEM, Prague, Czech Republic
| | - Daniel A Morris
- Department of Internal Medicine and Cardiology, Charité - Universitätsmedizin Berlin, Campus Virchow Klinikum
| | - Eike Nagel
- Institute for Experimental and Translational Cardiovascular Imaging, University Hospital Frankfurt.,German Centre for Cardiovascular Research (DZHK), Partner Site Frankfurt, Germany
| | - Elisabeth Pieske-Kraigher
- Department of Internal Medicine and Cardiology, Charité - Universitätsmedizin Berlin, Campus Virchow Klinikum
| | | | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology and Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Frans H Rutten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Adriaan A Voors
- University Medical Centre Groningen, University of Groningen, Department of Cardiology, Groningen, the Netherlands
| | - Frank Ruschitzka
- University Heart Centre, University Hospital Zurich, Switzerland
| | - Walter J Paulus
- Department of Physiology and Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center, The Netherlands
| | - Petar Seferovic
- University of Belgrade School of Medicine, Belgrade University Medical Center, Serbia
| | - Gerasimos Filippatos
- Department of Cardiology, National and Kapodistrian University of Athens Medical School; University Hospital "Attikon", Athens, Greece.,University of Cyprus, School of Medicine, Nicosia, Cyprus
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Cheng Y, Ou J, Tang B, Wang Q, Liang M, Wang Z, Wu Z. N-Terminal Pro-B-Type Natriuretic Peptide in Tricuspid Valve Replacement. Semin Thorac Cardiovasc Surg 2020; 32:801-810. [PMID: 32473963 DOI: 10.1053/j.semtcvs.2020.05.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Accepted: 05/02/2020] [Indexed: 11/11/2022]
Abstract
The aim of the present study was to retrospectively investigate the prognostic value of N-terminal pro-brain natriuretic peptide (NT-proBNP) in tricuspid valve replacement (TVR). A total of 73 TVR patients who had NT-proBNP measured on the first postoperative morning during a period of 10 years from February 2008 to December 2018 were included in the study. The endpoint was postsurgery all-cause in-hospital mortality. The outcome-based cut-point optimization was performed using X-tile software. NT-proBNP with the maximum χ2 score and the minimum P value will be used as the optimal cut-point. Kaplan-Meier analysis and log-rank test were adopted to calculate and compare survival rates stratified by tertiles and the cut-point. Predictive capabilities of NT-proBNP were tested using univariable and multivariable Cox regression. Overall, 20 (27.3%) in-hospital deaths occurred. Postsurgery hospital stay was 21 days (interquartile range, 16-32 day). NT-proBNP were divided into low (<1262 pg/mL), medium (1262-4003 pg/mL), and high (≥4003 pg/mL) tertiles. The optimal cut-off point determined using X-tile was 3639 pg/mL. Kaplan-Meier analysis revealed a strong association between worse survival and elevated NT-proBNP expressed as tertiles (log-rank P = 0.002) and stratified by optimal cut point (log-rank P < 0.001). Multivariable Cox survival analysis demonstrated that NT-proBNP was a strong predictor of mortality (logNT-proBNP hazard ratio [HR], 2.11; 95% confidence interval [CI], 1.33-3.37; P = 0.002). In NT-proBNP tertiles model, multivariable Cox survival analysis showed that patients in the medium and high NT-proBNP tertiles had 6.32-fold (adjusted HR, 7.32; 95% CI, 0.76-70.69; P = 0.085) and 16.11-fold (adjusted HR, 17.11; 95% CI, 1.92-152.68, P = 0.011) increased risk for mortality, respectively, compared with patients in the low tertile. Elevated postoperative NT-proBNP level is a potential independent and strong in-hospital postsurgery mortality risk factor in TVR, thus may serve as a useful surrogate marker for risk-stratification.
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Affiliation(s)
- Yanmei Cheng
- Department of Cardiothoracic surgery ICU, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jingsong Ou
- Department of Cardiac Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Baiyun Tang
- Department of Cardiothoracic surgery ICU, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Qianqian Wang
- Department of Epidemiology & Medical Statistics, Jishuitan Hospital, Beijing, China
| | - Mengya Liang
- Department of Cardiac Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zhiping Wang
- Department of Cardiac Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zhongkai Wu
- Department of Cardiac Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
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4
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Pieske B, Tschöpe C, de Boer RA, Fraser AG, Anker SD, Donal E, Edelmann F, Fu M, Guazzi M, Lam CSP, Lancellotti P, Melenovsky V, Morris DA, Nagel E, Pieske-Kraigher E, Ponikowski P, Solomon SD, Vasan RS, Rutten FH, Voors AA, Ruschitzka F, Paulus WJ, Seferovic P, Filippatos G. How to diagnose heart failure with preserved ejection fraction: the HFA-PEFF diagnostic algorithm: a consensus recommendation from the Heart Failure Association (HFA) of the European Society of Cardiology (ESC). Eur J Heart Fail 2020; 22:391-412. [PMID: 32133741 DOI: 10.1002/ejhf.1741] [Citation(s) in RCA: 177] [Impact Index Per Article: 44.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 10/30/2018] [Accepted: 08/26/2019] [Indexed: 12/11/2022] Open
Abstract
Making a firm diagnosis of chronic heart failure with preserved ejection fraction (HFpEF) remains a challenge. We recommend a new stepwise diagnostic process, the 'HFA-PEFF diagnostic algorithm'. Step 1 (P=Pre-test assessment) is typically performed in the ambulatory setting and includes assessment for heart failure symptoms and signs, typical clinical demographics (obesity, hypertension, diabetes mellitus, elderly, atrial fibrillation), and diagnostic laboratory tests, electrocardiogram, and echocardiography. In the absence of overt non-cardiac causes of breathlessness, HFpEF can be suspected if there is a normal left ventricular (LV) ejection fraction, no significant heart valve disease or cardiac ischaemia, and at least one typical risk factor. Elevated natriuretic peptides support, but normal levels do not exclude a diagnosis of HFpEF. The second step (E: Echocardiography and Natriuretic Peptide Score) requires comprehensive echocardiography and is typically performed by a cardiologist. Measures include mitral annular early diastolic velocity (e'), LV filling pressure estimated using E/e', left atrial volume index, LV mass index, LV relative wall thickness, tricuspid regurgitation velocity, LV global longitudinal systolic strain, and serum natriuretic peptide levels. Major (2 points) and Minor (1 point) criteria were defined from these measures. A score ≥5 points implies definite HFpEF; ≤1 point makes HFpEF unlikely. An intermediate score (2-4 points) implies diagnostic uncertainty, in which case Step 3 (F1 : Functional testing) is recommended with echocardiographic or invasive haemodynamic exercise stress tests. Step 4 (F2 : Final aetiology) is recommended to establish a possible specific cause of HFpEF or alternative explanations. Further research is needed for a better classification of HFpEF.
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Affiliation(s)
- Burkert Pieske
- Department of Internal Medicine and Cardiology, Charité - Universitätsmedizin Berlin, Campus Virchow Klinikum.,German Center for Cardiovascular Research (DZHK), Berlin, Partner Site, Germany.,Department of Internal Medicine and Cardiology, German Heart Institute, Berlin, Germany.,Berlin Institute of Health (BIH), Germany
| | - Carsten Tschöpe
- Department of Internal Medicine and Cardiology, Charité - Universitätsmedizin Berlin, Campus Virchow Klinikum.,German Center for Cardiovascular Research (DZHK), Berlin, Partner Site, Germany.,Berlin Institute of Health (BIH) Center for Regenerative Therapies (BCRT), Charite, Berlin, Germany
| | - Rudolf A de Boer
- University Medical Centre Groningen, University of Groningen, Department of Cardiology, Groningen, the Netherlands
| | | | - Stefan D Anker
- Department of Internal Medicine and Cardiology, Charité - Universitätsmedizin Berlin, Campus Virchow Klinikum.,German Center for Cardiovascular Research (DZHK), Berlin, Partner Site, Germany.,Berlin Institute of Health (BIH) Center for Regenerative Therapies (BCRT), Charite, Berlin, Germany.,Department of Cardiology and Pneumology, University Medicine Göttingen (UMG), Germany
| | - Erwan Donal
- Cardiology and CIC, IT1414, CHU de Rennes LTSI, Université Rennes-1, INSERM 1099, Rennes, France
| | - Frank Edelmann
- Department of Internal Medicine and Cardiology, Charité - Universitätsmedizin Berlin, Campus Virchow Klinikum.,German Center for Cardiovascular Research (DZHK), Berlin, Partner Site, Germany
| | - Michael Fu
- Section of Cardiology, Department of Medicine, Sahlgrenska University Hosptal/Ostra, Göteborg, Sweden
| | - Marco Guazzi
- Department of Biomedical Sciences for Health, University of Milan, IRCCS, Milan, Italy.,Department of Cardiology, IRCCS Policlinico, San Donato Milanese, Milan, Italy
| | - Carolyn S P Lam
- National Heart Centre, Singapore & Duke-National University of Singapore.,University Medical Centre Groningen, The Netherlands
| | - Patrizio Lancellotti
- Department of Cardiology, Heart Valve Clinic, University of Liège Hospital, GIGA Cardiovascular Sciences, CHU Sart Tilman, Liège, Belgium
| | - Vojtech Melenovsky
- Institute for Clinical and Experimental Medicine - IKEM, Prague, Czech Republic
| | - Daniel A Morris
- Department of Internal Medicine and Cardiology, Charité - Universitätsmedizin Berlin, Campus Virchow Klinikum
| | - Eike Nagel
- Institute for Experimental and Translational Cardiovascular Imaging, University Hospital Frankfurt.,German Centre for Cardiovascular Research (DZHK), Partner Site Frankfurt, Germany
| | - Elisabeth Pieske-Kraigher
- Department of Internal Medicine and Cardiology, Charité - Universitätsmedizin Berlin, Campus Virchow Klinikum
| | | | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology and Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Frans H Rutten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Adriaan A Voors
- University Medical Centre Groningen, University of Groningen, Department of Cardiology, Groningen, the Netherlands
| | - Frank Ruschitzka
- University Heart Centre, University Hospital Zurich, Switzerland
| | - Walter J Paulus
- Department of Physiology and Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center, The Netherlands
| | - Petar Seferovic
- University of Belgrade School of Medicine, Belgrade University Medical Center, Serbia
| | - Gerasimos Filippatos
- Department of Cardiology, National and Kapodistrian University of Athens Medical School; University Hospital "Attikon", Athens, Greece.,University of Cyprus, School of Medicine, Nicosia, Cyprus
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Alonso-Gómez AM, Tojal Sierra L, Fortuny Frau E, Goicolea Güemez L, Aboitiz Uribarri A, Portillo MP, Toledo E, Schröder H, Salas-Salvadó J, Arós Borau F. Diastolic dysfunction and exercise capacity in patients with metabolic syndrome and overweight/obesity. IJC HEART & VASCULATURE 2019; 22:67-72. [PMID: 30619930 PMCID: PMC6314243 DOI: 10.1016/j.ijcha.2018.12.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 12/16/2018] [Accepted: 12/18/2018] [Indexed: 12/12/2022]
Abstract
Background Left ventricle diastolic dysfunction (LVDD) is a common finding in high risk individuals, its presence being associated with reduced exercise capacity (EC). We assessed the prevalence of LVDD, applying the 2016 guidelines of the American Society of Echocardiography (ASE)/European Association of Cardiovascular Imaging (EACVI), in a population with overweight/obesity and metabolic syndrome and its association with EC. Methods and results This was a prospective, cross-sectional study of a cohort of 235 patients (mean age of 65 ± 5 years old and 33% female) without heart disease and an ejection fraction >50% who underwent a complete echocardiographic assessment and cardiopulmonary exercise testing. Individuals meeting three or more criteria of the 2016 ASE/EACVI guidelines are considered to have LVDD, while tests are considered indeterminate in those meeting only two. Overall, 178 (76%) of our patients met one echocardiographic cutoff value for LVDD, 91 (39%) met two and 7 (3%) three or more. Patients meeting three cutoffs values showed a significant reduction in maximal oxygen uptake (16 ± 3 vs. 19.6 ± 5 ml/kg/min, p < .05), unlike those with indeterminate tests. In multiple regression analysis, meeting three cutoffs was associated with number of METS (ß = −2.2, p = .018). In exploratory analysis, using two criteria based on cutoffs different from those proposed in the guidelines, we identified groups with different EC. Conclusions The application of 2016 ASE/EACVI guidelines limited the prevalence of LVDD to 3%. This group showed a clear reduction of the EC. New echocardiographic cutoff values proposed in this study allow us to establish subgroups with different levels of EC.
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Affiliation(s)
- Angel M Alonso-Gómez
- Department of Cardiology, Organización Sanitaria Integrada (OSI) ARABA, University Hospital Araba, Vitoria-Gasteiz, Spain.,Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Lucas Tojal Sierra
- Department of Cardiology, Organización Sanitaria Integrada (OSI) ARABA, University Hospital Araba, Vitoria-Gasteiz, Spain
| | - Elena Fortuny Frau
- Department of Cardiology, University Hospital Son Espases, Palma de Mallorca, Islas Baleares, Spain
| | - Leire Goicolea Güemez
- Department of Cardiology, Organización Sanitaria Integrada (OSI) ARABA, University Hospital Araba, Vitoria-Gasteiz, Spain
| | - Ane Aboitiz Uribarri
- Department of Cardiology, Organización Sanitaria Integrada (OSI) ARABA, University Hospital Araba, Vitoria-Gasteiz, Spain
| | - María P Portillo
- Nutrition and Obesity Group, Department of Nutrition and Food Science, Faculty of Pharmacy and Lucio Lascaray Research Institute, University of País Vasco (UPV/EHU), 01006 Vitoria, Spain.,Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Estefanía Toledo
- University of Navarra, Department of Preventive Medicine and Public Health, Faculty of Medicine, IdiSNA, Pamplona, Spain.,Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Helmut Schröder
- Cardiovascular Risk and Nutrition (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.,CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Jordi Salas-Salvadó
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, IISPV, Rovira i Virgili University, Reus, Spain.,Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Fernando Arós Borau
- Department of Cardiology, Organización Sanitaria Integrada (OSI) ARABA, University Hospital Araba, Vitoria-Gasteiz, Spain.,Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,University of the Basque Country/Euskal Herriko Univertsitatea (UPV/EHU), Department of Medicine, Medical Education Unit, Teaching Unit of Medicine, Vitoria-Gasteiz, Álava, Spain
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