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A prediction model for moderate to severe acute kidney injury in people with heart failure.

作者信息

Yang Yu-Qi, Da Jing-Jing, Nie Sheng, Yuan Jing, Liu Bi-Cheng, Liu Hua-Feng, Yang Qiong-Qiong, Li Hua, Xu Gang, Weng Jian-Ping, Kong Yao-Zhong, Wan Qi-Jun, Li Gui-Sen, Chen Chun-Bo, Xu Hong, Hu Ying, Shi Yong-Jun, Zhou Yi-Lun, Su Guo-Bin, Tang Ying, Hou Fan-Fan, Zha Yan

机构信息

Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang, 550002, China.

National Clinical Research Center for Kidney Disease, State Laboratory of Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.

出版信息

Mil Med Res. 2024 Aug 20;11(1):57. doi: 10.1186/s40779-024-00558-z.

DOI:10.1186/s40779-024-00558-z
PMID:39164767
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11334457/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/224e/11334457/a22d2987436f/40779_2024_558_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/224e/11334457/a22d2987436f/40779_2024_558_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/224e/11334457/a22d2987436f/40779_2024_558_Fig1_HTML.jpg

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1
A prediction model for moderate to severe acute kidney injury in people with heart failure.心力衰竭患者中重度急性肾损伤的预测模型
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2
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引用本文的文献

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A nomogram to predict congestive heart failure in patients with acute kidney injury: a retrospective study based on the MIMIC-III database.预测急性肾损伤患者充血性心力衰竭的列线图:一项基于MIMIC-III数据库的回顾性研究
BMC Cardiovasc Disord. 2025 Feb 25;25(1):133. doi: 10.1186/s12872-025-04569-z.

本文引用的文献

1
Identifying Patients With Heart Failure Who Are Susceptible to De Novo Acute Kidney Injury: Machine Learning Approach.识别易发生新发急性肾损伤的心力衰竭患者:机器学习方法。
JMIR Med Inform. 2022 Oct 14;10(10):e37484. doi: 10.2196/37484.
2
Using a machine learning model to predict the development of acute kidney injury in patients with heart failure.使用机器学习模型预测心力衰竭患者急性肾损伤的发生。
Front Cardiovasc Med. 2022 Sep 7;9:911987. doi: 10.3389/fcvm.2022.911987. eCollection 2022.
3
Acute kidney injury.急性肾损伤。
Lancet. 2019 Nov 23;394(10212):1949-1964. doi: 10.1016/S0140-6736(19)32563-2.
4
Acute kidney injury in China: a cross-sectional survey.中国急性肾损伤:一项横断面调查。
Lancet. 2015 Oct 10;386(10002):1465-71. doi: 10.1016/S0140-6736(15)00344-X.
5
Renal impairment, worsening renal function, and outcome in patients with heart failure: an updated meta-analysis.肾功能损害、肾功能恶化与心力衰竭患者的预后:一项更新的荟萃分析。
Eur Heart J. 2014 Feb;35(7):455-69. doi: 10.1093/eurheartj/eht386. Epub 2013 Oct 27.