Risk for Incident Heart Failure: A Subject-Level Meta-Analysis From the Heart "OMics" in AGEing (HOMAGE) Study.
Lotte Jacobs,Ljupcho Efremov,João Pedro Ferreira,Lutgarde Thijs,Wen-Yi Yang,Zhenyu Zhang,Roberto Latini,Serge Masson,Nera Agabiti,Peter S. Sever,Christian Delles,Naveed Sattar,Javed Butler,John G.F. Cleland,John G.F. Cleland,Tatiana Kuznetsova,Jan A. Staessen,Faiez Zannad +17 more
TLDR
A subject‐level meta‐analysis within the framework of the Heart “OMics” in AGEing (HOMAGE) study to develop a risk prediction model for heart failure (HF) based on routinely available clinical measurements allowed reliable estimation of the short‐term HF risk in populations and patients.Abstract:
Background To address the need for personalized prevention, we conducted a subject‐level meta‐analysis within the framework of the Heart “OMics” in AGEing (HOMAGE) study to develop a risk prediction model for heart failure (HF) based on routinely available clinical measurements. Methods and Results Three studies with elderly persons (Health Aging and Body Composition [Health ABC], Valutazione della PREvalenza di DIsfunzione Cardiaca asinTOmatica e di scompenso cardiaco [PREDICTOR], and Prospective Study of Pravastatin in the Elderly at Risk [PROSPER]) were included to develop the HF risk function, while a fourth study (Anglo‐Scandinavian Cardiac Outcomes Trial [ASCOT]) was used as a validation cohort. Time‐to‐event analysis was conducted using the Cox proportional hazard model. Incident HF was defined as HF hospitalization. The Cox regression model was evaluated for its discriminatory performance (area under the receiver operating characteristic curve) and calibration (Gronnesby‐Borgan χ 2 statistic). During a follow‐up of 3.5 years, 470 of 10 236 elderly persons (mean age, 74.5 years; 51.3% women) developed HF. Higher age, BMI, systolic blood pressure, heart rate, serum creatinine, smoking, diabetes mellitus, history of coronary artery disease, and use of antihypertensive medication were associated with increased HF risk. The area under the receiver operating characteristic curve of the model was 0.71, with a good calibration (χ 2 7.9, P =0.54). A web‐based calculator was developed to allow easy calculations of the HF risk. Conclusions Simple measurements allow reliable estimation of the short‐term HF risk in populations and patients. The risk model may aid in risk stratification and future HF prevention strategies.read more
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Global burden of heart failure: A comprehensive and updated review of epidemiology.
Gianluigi Savarese,Peter Moritz Becher,Lars Lund,Petar M. Seferović,Giuseppe M.C. Rosano,Andrew J.S. Coats +5 more
TL;DR: A contemporary overview on the global burden of HF is provided, providing updated estimates on prevalence, incidence, outcomes, and costs worldwide.
Journal ArticleDOI
OUP accepted manuscript
TL;DR: In this paper , the authors provide a contemporary overview on the global burden of heart failure, providing updated estimates on prevalence, incidence, outcomes, and costs worldwide, and provide a comprehensive overview of the available evidence-based therapies for patients with heart failure.
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Common risk factors for heart failure and cancer.
TL;DR: Current insights in common behavioural risk factors for heart failure, being the most progressed and lethal form of CV disease, and cancer are summarized.
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Tobacco smoking and risk of 36 cardiovascular disease subtypes: fatal and non-fatal outcomes in a large prospective Australian study
Emily Banks,Grace Joshy,Rosemary J. Korda,Bill Stavreski,Kay Soga,Sam Egger,Cathy Day,Naomi E. Clarke,Sarah Lewington,Alan D. Lopez +9 more
TL;DR: Current smoking increases the risk of virtually all CVD subtypes, at least doubling the risk for many, including AMI, cerebrovascular disease and heart failure, including paroxysmal tachycardia.
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Deep learning for electronic health records: A comparative review of multiple deep neural architectures
Jose Roberto Ayala Solares,Jose Roberto Ayala Solares,Francesca Raimondi,Yajie Zhu,Fatemeh Rahimian,Dexter Canoy,Dexter Canoy,Dexter Canoy,Jenny Tran,Ana Catarina Pinho Gomes,Amir H. Payberah,Mariagrazia Zottoli,Milad Nazarzadeh,Nathalie Conrad,Kazem Rahimi,Kazem Rahimi,Gholamreza Salimi-Khorshidi +16 more
TL;DR: This paper aims to provide a comparative review of the key deep learning architectures that have been applied to EHR data, and introduces and uses one of the world's largest and most complex linked primary care EHR datasets as a new asset for training such data-hungry models.
References
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2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the Heart Failure Association (HFA) of the ESC.
Piotr Ponikowski,Adriaan A. Voors,Stefan D. Anker,Héctor Bueno,John G.F. Cleland,Andrew J.S. Coats,Volkmar Falk,José Ramón González-Juanatey,Veli-Pekka Harjola,Ewa A. Jankowska,Mariell Jessup,Cecilia Linde,Petros Nihoyannopoulos,John Parissis,Burkert Pieske,Jillian P. Riley,Giuseppe M.C. Rosano,Luis M. Ruilope,Frank Ruschitzka,Frans H. Rutten,Peter van der Meer,Gerasimos Filippatos,John J.V. McMurray,Victor Aboyans,Stephan Achenbach,Stefan Agewall,Nawwar Al-Attar,John Atherton,Johann Bauersachs,A. John Camm,Scipione Carerj,Claudio Ceconi,Antonio Coca,Perry M. Elliott,Çetin Erol,Justin A. Ezekowitz,Covadonga Fernández-Golfín,Donna Fitzsimons,Marco Guazzi,Maxime Guenoun,Gerd Hasenfuss,Gerhard Hindricks,Arno W. Hoes,Bernard Iung,Tiny Jaarsma,Paulus Kirchhof,Juhani Knuuti,Philippe Kolh,Stavros Konstantinides,Mitja Lainscak,Patrizio Lancellotti,Gregory Y.H. Lip,Francesco Maisano,Christian Mueller,Mark C. Petrie,Massimo F Piepoli,Silvia G. Priori,Adam Torbicki,Hiroyuki Tsutsui,Dirk J. van Veldhuisen,Stephan Windecker,Clyde W. Yancy,José Luis Zamorano +62 more
TL;DR: Authors/Task Force Members: Piotr Ponikowski* (Chairperson) (Poland), Adriaan A. Voors* (Co-Chair person) (The Netherlands), Stefan D. Anker (Germany), Héctor Bueno (Spain), John G. F. Cleland (UK), Andrew J. S. Coats (UK)
Journal ArticleDOI
2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure
Piotr Ponikowski,Adriaan A. Voors,Stefan D. Anker,Héctor Bueno,John G.F. Cleland,Andrew J.S. Coats,Volkmar Falk,José Ramón González-Juanatey,Veli-Pekka Harjola,Ewa A. Jankowska,Mariell Jessup,Cecilia Linde,Petros Nihoyannopoulos,John Parissis,Burkert Pieske,Jillian P. Riley,Giuseppe M.C. Rosano,Luis M. Ruilope,Frank Ruschitzka,Frans H. Rutten,Peter van der Meer +20 more
TL;DR: ACCF/AHAIAI: angiotensin-converting enzyme inhibitor as discussed by the authors, angio-catabolizing enzyme inhibitor inhibitor inhibitor (ACS inhibitor) is a drug that is used to prevent atrial fibrillation.
Journal ArticleDOI
2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure
Piotr Ponikowski,Adriaan A. Voors,Stefan D. Anker,Héctor Bueno,John G.F. Cleland,Andrew J.S. Coats,Volkmar Falk,José Ramón González-Juanatey,Veli-Pekka Harjola,Ewa A. Jankowska,Mariell Jessup,Cecilia Linde,Petros Nihoyannopoulos,John Parissis,Burkert Pieske,Jillian P. Riley,Giuseppe M.C. Rosano,Luis M. Ruilope,Frank Ruschitzka,Frans H. Rutten,Peter van der Meer +20 more
TL;DR: Authors/Task Force Members: Piotr Ponikowski* (Chairperson) (Poland), Adriaan A. Voors* (Co-Chair person) (The Netherlands), Stefan D. Anker (Germany), Héctor Bueno (Spain), John G. F. Cleland (UK), Andrew J. S. Coats (UK)
Journal ArticleDOI
ESC Guidelines for the Diagnosis And Treatment of Acute And Chronic Heart Failure 2008
Kenneth Dickstein,Alain Cohen-Solal,Gerasimos Filippatos,John J.V. McMurray,Piotr Ponikowski,Philip A. Poole-Wilson,Anna Strömberg,Dirk J. van Veldhuisen,Dan Atar,Arno W. Hoes,Andre Keren,Alexandre Mebazaa,Markku S. Nieminen,Silvia G. Priori,Karl Swedberg +14 more
TL;DR: Authors/Task Force Members: John J. McMurray (Chairperson) (UK), Stamatis Adamopoulos (Greece), Stefan D. Anker (Germany), Angelo Auricchio (Switzerland), Michael Böhm ( Germany), Kenneth Dickstein (Norway), Volkmar Falk (Sw Switzerland), Gerasimos Filippatos (G Greece), Cândida Fonseca (Portugal), Miguel Angel Gomez-Sanchez (Spain).
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General Cardiovascular Risk Profile for Use in Primary Care The Framingham Heart Study
Ralph B. D'Agostino,Ramachandran S. Vasan,Michael J. Pencina,Philip A. Wolf,Mark R. Cobain,Joseph M. Massaro,William B. Kannel +6 more
TL;DR: A sex-specific multivariable risk factor algorithm can be conveniently used to assess general CVD risk and risk of individual CVD events (coronary, cerebrovascular, and peripheral arterial disease and heart failure) and can be used to quantify risk and to guide preventive care.
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