Trends in cause‐specific readmissions in heart failure with preserved vs. reduced and mid‐range ejection fraction-Reference-Cited by-同舟云学术

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Trends in cause‐specific readmissions in heart failure with preserved vs. reduced and mid‐range ejection fraction

Published:2020-07-30 Issue:5 Volume:7 Page:2894-2903
ISSN:2055-5822
Container-title:ESC Heart Failure
language:en
Short-container-title:ESC Heart Failure

Author:

Cui Xiaotong¹²^ORCID,Thunström Erik²,Dahlström Ulf³⁴,Zhou Jingmin¹,Ge Junbo¹,Fu Michael²

Affiliation:

1. Department of Cardiology, Zhongshan Hospital Fudan University, Shanghai Institute of Cardiovascular Diseases Shanghai China

2. Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy University of Gothenburg Gothenburg Sweden

3. Department of Cardiology Linköping University Linköping Sweden

4. Department of Medical and Health Sciences Linköping University Linköping Sweden

Funder

Sveriges Kommuner och Landsting

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ehf2.12899

Reference27 articles.

1. Heart Failure With Preserved Ejection Fraction In Perspective

2. Effects of candesartan in patients with chronic heart failure and preserved left-ventricular ejection fraction: the CHARM-Preserved Trial

3. The perindopril in elderly people with chronic heart failure (PEP-CHF) study

4. Irbesartan in Patients with Heart Failure and Preserved Ejection Fraction

5. Effects of carvedilol on heart failure with preserved ejection fraction: the Japanese Diastolic Heart Failure Study (J-DHF)

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Epidemiology, Clinical Characteristics and Cause-specific Outcomes in Heart Failure with Preserved Ejection Fraction;Cardiac Failure Review;2023-11-17

2. The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study;Journal of Medical Internet Research;2023-10-27

3. Risk factors of readmission and the impact of outpatient management in heart failure patients: A national study in Japan;ESC Heart Failure;2023-09

4. Current approaches to preventing heart failure readmissions and decompensated disease;Minerva Cardiology and Angiology;2023-07

5. The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study (Preprint);2023-03-02

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