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

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

doi:10.1186/s40779-024-00558-z

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

LETTER TO THE EDITOR | Updated：2025-12-13

- A prediction model for moderate to severe acute kidney injury in people with heart failure
- “In the field of xxx, expert xx has made significant progress. They established the xx system/explored the xx topic/verified the xx conjecture, offering solutions to tackle xx problems and paving the way for future research in xx.”
- Military Medical Research Vol. 12, Issue 6, Pages: 981-984(2025)
- Affiliations：
  
  1.Department of Nephrology, Guizhou Provincial People’s Hospital, Guiyang 550002, China
  2.National Clinical Research Center for Kidney Disease, State Laboratory of Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
  3.Institute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing 210000, China
  4.Key Laboratory of Prevention and Management of Chronic Kidney Disease of Zhanjiang City, Institute of Nephrology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, Guangdong, China
  5.Department of Nephrology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510515, China
  6.Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China
  7.Division of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China
  8.Department of Endocrinology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230000, China
  9.Department of Nephrology, the First People’s Hospital of Foshan, Foshan 528000, Guangdong, China
  10.The Second People’s Hospital of Shenzhen, Shenzhen University, Shenzhen 518000, Guangdong, China
  11.Department of Nephrology and Nephrology Institute, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China
  12.Department of Critical Care Medicine, Maoming People’s Hospital, Maoming 525000, Guangdong, China
  13.Children’s Hospital of Fudan University, Shanghai 200000, China
  14.The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310000, China
  15.Huizhou Municipal Central Hospital, Sun Yat-Sen University, Huizhou 516000, Guangdong, China
  16.Department of Nephrology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100000, China
  17.Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, the Second Affiliated Hospital, the Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou 510000, China
  18.The Third Affiliated Hospital of Southern Medical University, Guangzhou 510000, China
- Author bio：
  
  * ffhouguangzhou@163.com
  zhayan72@126.com
- Funds：
- DOI：10.1186/s40779-024-00558-z
  CLC：
- Published：2025-06
- Accepted：
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Cite this article as: Yang YQ, Da JJ, Nie S, Yuan J, Liu BC, Liu HF, et al. A prediction model for moderate to severe acute kidney injury in people with heart failure. Mil Med Res. 2024;11(1):57.
DOI：

Cite this article as: Yang YQ, Da JJ, Nie S, Yuan J, Liu BC, Liu HF, et al. A prediction model for moderate to severe acute kidney injury in people with heart failure. Mil Med Res. 2024;11(1):57. DOI： 10.1186/s40779-024-00558-z.

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

DOI：10.1186/s40779-024-00558-z