Clinical implications of chronic heart failure phenotypes defined by cluster analysis.
about
Patient selection in heart failure with preserved ejection fraction clinical trialsThe emerging role of epigenetics in pulmonary arterial hypertension: an important avenue for clinical trials (2015 Grover Conference Series)Addressing the Heterogeneity of Heart Failure in Future Randomized Trials.Novel approach to classifying patients with pulmonary arterial hypertension using cluster analysis.Metabolic Dysfunction in Heart Failure: Diagnostic, Prognostic, and Pathophysiologic Insights From Metabolomic Profiling.Cardiovascular Late Effects and Exercise Treatment in Breast Cancer: Current Evidence and Future DirectionsClinical Implications of Cluster Analysis-Based Classification of Acute Decompensated Heart Failure and Correlation with Bedside Hemodynamic Profiles.Molecular phenotyping of clinical AKI with novel urinary biomarkers.Characterization of subgroups of heart failure patients with preserved ejection fraction with possible implications for prognosis and treatment response.Learning Clinical Workflows to Identify Subgroups of Heart Failure Patients.Cluster analysis: a new approach for identification of underlying risk factors for coronary artery disease in essential hypertensive patientsPathophysiology and clinical evaluation of acute heart failure.Clinical Phenotyping of Heart Failure with Biomarkers: Current and Future Perspectives.Towards Precision in HF Pharmacotherapy.The Potential of Clinical Phenotyping of Heart Failure With Imaging Biomarkers for Guiding Therapies: A Focused Update.Precision medicine informatics.Association of Atrial Fibrillation Clinical Phenotypes with Treatment Patterns and Outcomes: A Multicenter Registry Study.Vascular phenotypes of acute decompensated vs. new-onset heart failure: treatment implications.Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients.Multimorbidity in patients with heart failure from 11 Asian regions: A prospective cohort study using the ASIAN-HF registry.Disrupting Virchow's triad: can factor X inhibition reduce risk of adverse outcomes in patients with ischaemic cardiomyopathy?Reclassifying heart failure: time for disruptive innovation?Determining exercise training responders through inflammatory status in heart failure.Emerging Role of Precision Medicine in Cardiovascular Disease.Inflammatory biomarkers and effect of exercise on functional capacity in patients with heart failure: Insights from a randomized clinical trial
P2860
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P2860
Clinical implications of chronic heart failure phenotypes defined by cluster analysis.
description
2014 nî lūn-bûn
@nan
2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Clinical implications of chronic heart failure phenotypes defined by cluster analysis.
@ast
Clinical implications of chronic heart failure phenotypes defined by cluster analysis.
@en
type
label
Clinical implications of chronic heart failure phenotypes defined by cluster analysis.
@ast
Clinical implications of chronic heart failure phenotypes defined by cluster analysis.
@en
prefLabel
Clinical implications of chronic heart failure phenotypes defined by cluster analysis.
@ast
Clinical implications of chronic heart failure phenotypes defined by cluster analysis.
@en
P2093
P2860
P1476
Clinical implications of chronic heart failure phenotypes defined by cluster analysis.
@en
P2093
Dalane W Kitzman
David J Whellan
Emily O'Brien
G Michael Felker
Ileana L Piña
Kerry L Lee
Michael J Pencina
Phillip J Schulte
Tariq Ahmad
P2860
P304
P356
10.1016/J.JACC.2014.07.979
P407
P577
2014-10-21T00:00:00Z