A novel nomogram to predict all‐cause readmission or death risk in Chinese elderly patients with heart failure-Reference-Cited by-同舟云学术

A novel nomogram to predict all‐cause readmission or death risk in Chinese elderly patients with heart failure

Published:2020-04-21 Issue:3 Volume:7 Page:1015-1024
ISSN:2055-5822
Container-title:ESC Heart Failure
language:en
Short-container-title:ESC Heart Failure

Author:

Yang Mengxi¹,Tao Liyuan²,An Hui³,Liu Gang⁴,Tu Qiang⁵⁶,Zhang Hu¹,Qin Li⁷,Xiao Zhu¹,Wang Yu¹,Fan Jiaxai¹,Feng Dongping¹,Liang Yan¹,Ren Jingyi¹

Affiliation:

1. Department of Cardiology China‐Japan Friendship Hospital Beijing China

2. Research Center of Clinical Epidemiology Peking University Third Hospital Beijing China

3. Department of Cardiology Hebei General Hospital Hebei China

4. Department of Cardiovascular Surgery Peking University People's Hospital Beijing China

5. State Key Laboratory for Molecular and Developmental Biology Institute of Genetics and Developmental Biology, Chinese Academy of Sciences Beijing China

6. University of Chinese Academy of Sciences Beijing China

7. Department of Laboratory Medicine Peking University People's Hospital Beijing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ehf2.12703

Reference40 articles.

1. Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association

2. Rising Mortality in Patients With Heart Failure in the United States

3. Prediction and prevention of heart failure in high-risk elderly patients

4. The Prevention of Hospital Readmissions in Heart Failure

5. Machine learning‐based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics

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