Clustering based on comorbidities in patients with chronic heart failure: an illustration of clinical diversity-Reference-Cited by-同舟云学术

Clustering based on comorbidities in patients with chronic heart failure: an illustration of clinical diversity

Published:2021-11-18 Issue:1 Volume:9 Page:614-626
ISSN:2055-5822
Container-title:ESC Heart Failure
language:en
Short-container-title:ESC Heart Failure

Author:

Uszko‐Lencer Nicole H.M.K.¹²,Janssen Daisy J.A.²³,Gaffron Swetlana⁴,Vanfleteren Lowie E.G.W.⁵⁶,Janssen Eefje²,Werter Christ⁷,Franssen Frits M.E.²⁸,Wouters Emiel F.M.²⁸,Rechberger Simon⁴,Brunner La Rocca Hans‐Peter¹,Spruit Martijn A.²⁸⁹

Affiliation:

1. Department of Cardiology Maastricht University Medical Center+ (MUMC+) Maastricht The Netherlands

2. Department of Research & Development CIRO Horn The Netherlands

3. Department of Health Services Research, Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences Maastricht University Maastricht The Netherlands

4. Analytics, Viscovery Software GmBH Vienna Austria

5. Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy Gothenburg University Gothenburg Sweden

6. COPD Center, Department of Respiratory Medicine and Allergology Sahlgrenska University Hospital Gothenburg Sweden

7. Department of Cardiology Laurentius Hospital Roermond The Netherlands

8. Department of Respiratory Medicine Maastricht University Medical Center+ (MUMC+) Maastricht The Netherlands

9. Faculty of Health, Medicine and Life Sciences NUTRIM School of Nutrition and Translational Research in Metabolism Maastricht The Netherlands

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ehf2.13704

Reference38 articles.

1. 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure

2. Current and novel biomarkers in heart failure

3. Predictors of mortality and morbidity in patients with chronic heart failure

5. Validity and reliability of the NYHA classes for measuring research outcomes in patients with cardiac disease

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