Open AccessAn acute kidney injury prediction nomogram based on neurosurgical intensive care unit profiles
Author(s) -
Shuo An,
Hongliang Luo,
Jiao Wang,
Zhitao Gong,
Ye Tian,
Xuanhui Liu,
Jun Ma,
Rongcai Jiang
Publication year - 2020
Publication title -
annals of translational medicine
Language(s) - English
Resource type - Journals
eISSN - 2305-5847
pISSN - 2305-5839
DOI - 10.21037/atm.2020.01.60
Subject(s) - medicine , nomogram , receiver operating characteristic , intensive care unit , acute kidney injury , logistic regression , glasgow coma scale , surgery
This study presents an AKI prediction nomogram based on LASSO, logistic regression, and clinical risk factors. The clinical use of the nomogram may allow for the timely detection of AKI occurrence and thus improve the prognosis of patients.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom