Role of gender, age and BMI in prognosis of heart failure
Autor: | Federica Moscucci, Giovanni Marchese, Susanna Sciomer, Maurizio Bussotti, Elisabetta Salvioni, Massimo F Piepoli, Ugo Corrà |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Male
medicine.medical_specialty Epidemiology Disease Overweight Affect (psychology) Risk Assessment Body Mass Index Decision Support Techniques BMI Sex Factors Predictive Value of Tests Cardiopulmonary exercise test Medicine Humans Obesity age chronic heart failure gender metabolic exercise cardiac kidney index (MECKI) score Intensive care medicine Heart Failure business.industry Age Factors Gender Reproducibility of Results Health Status Disparities Middle Aged medicine.disease Prognosis Full Research Papers Index score Echocardiography Heart Disease Risk Factors Heart failure Exercise Test Female medicine.symptom Cardiology and Cardiovascular Medicine business Body mass index Biomarkers |
Zdroj: | European Journal of Preventive Cardiology |
ISSN: | 2047-4881 2047-4873 |
Popis: | The prognostic stratification of heart failure remains an urgent need for correct clinical management of the affected patients. In fact, due to the high mortality and morbidity rates, heart failure constantly requires an updated and careful management of all aspects that characterise the disease. In addition to the well-known clinical, laboratory and instrumental characteristics that affect the prognosis of heart failure, gender, age and body mass index have a different impact and deserve specific insights and clarifications. At this scope, the metabolic exercise cardiac kidney index score research group has produced several works in the past, trying to identify the role of these specific factors on the prognosis of heart failure. In particular, the different performances in the cardiopulmonary exercise test of specific categories of heart failure patients, such as women, elderly and obese or overweight individuals, have requested dedicated evaluations of metabolic exercise cardiac kidney index score power. |
Databáze: | OpenAIRE |
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