Results 61 to 70 of about 28,042 (215)

Correlation of the decrease in exercise tolerance with the ventilation and gas exchange disturbances in patients with various phenotypes of chronic heart failure

open access: yesКлинический разбор в общей медицине
Aim. To assess parameters of ventilation and gas exchange and determine the factors associated with the peak oxygen consumption levels in patients with various phenotypes of chronic heart failure (CHF). Methods. The study was focused on further analysis
Yulia L. Begrambekova   +4 more
doaj   +1 more source

Effectiveness and cost-effectiveness of serum B-type natriuretic peptide testing and monitoring in patients with heart failure in primary and secondary care: an evidence synthesis, cohort study and cost-effectiveness model

open access: yesHealth Technology Assessment, 2017
Background: Heart failure (HF) affects around 500,000 people in the UK. HF medications are frequently underprescribed and B-type natriuretic peptide (BNP)-guided therapy may help to optimise treatment.
Maria Pufulete   +13 more
doaj   +1 more source

Definition, epidemiology, and burden of disease: HFrEF

open access: yes, 2018
Heart failure is the final common stage of many diseases of the heart, caused by structural and/or functional cardiac abnormalities, resulting in a reduced cardiac output. The clinical profile of patients with heart failure with reduced ejection fraction
Aldo Pietro Maggioni, Ovidiu Chioncel
core   +1 more source

The role of cardiac acoustic biomarkers in monitoring patients with heart failure: A systematic literature review

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 980-997, April 2025.
Abstract Heart failure (HF) creates a considerable clinical, humanistic and economic burden on patients and caregivers as well as on healthcare systems. To attenuate the significant burden of HF, there is a need for enhanced management of patients with HF.
Javed Butler   +8 more
wiley   +1 more source

The role of machine learning in the modern management of heart failure

open access: yesCardiologia Hungarica
Introduction: The use of machine learning is exploding in all areas of healthcare, including the diagnosis and treatment of heart failure. Supervised machine learning can help predict the onset of heart failure, establish the diagnosis, and even predict ...
Gáspár Dániel   +9 more
doaj   +1 more source

Age-standardized prevalence of symptomatic CHF, HFREF and HFNEF (different denominators are due to by differences in the number of subjects with missing data for HFREF and HFNEF).

open access: yes, 2013
Age-standardized prevalence of symptomatic CHF, HFREF and HFNEF (different denominators are due to by differences in the number of subjects with missing data for HFREF and HFNEF).
Henning Ebelt (372825)   +10 more
core   +1 more source

Urinary Proteomics Pilot Study for Biomarker Discovery and Diagnosis in Heart Failure with Reduced Ejection Fraction. [PDF]

open access: yesPLoS ONE, 2016
Biomarker discovery and new insights into the pathophysiology of heart failure with reduced ejection fraction (HFrEF) may emerge from recent advances in high-throughput urinary proteomics.
Kasper Rossing   +10 more
doaj   +1 more source

The in‐hospital administration of sacubitril/valsartan in acute myocardial infarction: A meta‐analysis

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 998-1012, April 2025.
In patients with Acute Myocardial Infarction related heart failure, the in‐hospital administration of ARNIs was associated with a reduced risk of MACEs and re‐hospitalizations for heart failure, as well as cardiac remodeling, compared to standard therapy.
Gianluca Di Pietro   +15 more
wiley   +1 more source

Correlation of NT-proBNP Levels with Outcome in Patients of Acute Decompensated Heart Failure

open access: yesIndian Journal of Medical Specialities
Background: Acute decompensated heart failure (ADHF) is a significant contributor to morbidity and mortality globally, particularly in resource-limited settings like India.
Dheeraj Balotia   +4 more
doaj   +1 more source

Features of HFREF Latent Class Model A subtypes.

open access: yes, 2012
Features of HFREF Latent Class Model A subtypes.
David P. Kao (122820)   +4 more
core   +1 more source

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