Development and validation of radiology-clinical statistical and machine learning model for stroke-associated pneumonia after first intracerebral haemorrhage.

Journal: BMC pulmonary medicine
Published Date:

Abstract

BACKGROUND: Society is burdened with stroke-associated pneumonia (SAP) after intracerebral haemorrhage (ICH). Cerebral small vessel disease (CSVD) complicates clinical manifestations of stroke. In this study, we redefined the CSVD burden score and incorporated it into a novel radiological-clinical prediction model for SAP.

Authors

  • Wenru Zhang
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Ying Zhou
    Institute of Drug Metabolism and Pharmaceutical Analysis, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Liuhui Xu
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Chaomin Qiu
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Zhixian Luo
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Zhenghao Jiang
    Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Xinyi Tao
    Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Yingjie Wu
    Sichuan University - Pittsburgh Institute (SCUPI), Sichuan University, Chengdu, 610207, China. yingjie.wu@scu.edu.cn.
  • Shishi Yao
    Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Hang Huang
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Xinshi Wang
    Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Yunjun Yang
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China. yyjunjim@163.com.
  • Ru Lin
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China. linru7459@gmail.com.