Deep learning for the prediction of acute kidney injury after coronary angiography and intervention in patients with chronic kidney disease: a model development and validation study.

Journal: Renal failure
PMID:

Abstract

BACKGROUND: Patients with chronic kidney disease (CKD) are considered the primary population at risk for post-contrast acute kidney injury (PC-AKI), yet there are few predictive tools specifically designed for this vulnerable population.

Authors

  • Ying Tang
    Department of Ultrasound, Tianjin First Central Hospital, NanKai University, Tianjin, 300192, China. drtang2002@aliyun.com.
  • Ting Wu
    Asia Pacific Unit, Department of Pharmacoepidemiology, MSD (China) R&D Co., Ltd., Beijing, China.
  • Xiufen Wang
    Department of Nephrology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, China.
  • Xi Wu
  • Anqun Chen
    Department of Nephrology, The Second Xiangya Hospital of Central South University; Hunan Key Laboratory of Kidney Disease and Blood Purification, Changsha, Hunan, China.
  • Guochun Chen
    Department of Nephrology, Renal Research Institute, Hunan Key Lab of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University Changsha 410011, Hunan, China.
  • Chengyuan Tang
    Department of Nephrology, The Second Xiangya Hospital of Central South University; Hunan Key Laboratory of Kidney Disease and Blood Purification, Changsha, Hunan, China.
  • Liyu He
    Department of Nephrology, The Second Xiangya Hospital of Central South University; Hunan Key Laboratory of Kidney Disease and Blood Purification, Changsha, Hunan, China.
  • Yuting Liu
    Jiangsu Key Laboratory of Crop Genetics and Physiology, Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, Jiangsu, China.
  • Meiyu Zeng
    Department of Nephrology, The Second Xiangya Hospital of Central South University; Hunan Key Laboratory of Kidney Disease and Blood Purification, Changsha, Hunan, China.
  • Xiaoqin Luo
    Department of Geriatrics, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
  • Shaobin Duan
    Department of Nephrology, The Second Xiangya Hospital of Central South University; Hunan Key Laboratory of Kidney Disease and Blood Purification, Changsha, Hunan, China.