Open Access
Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19
Author(s) -
Akhil Vaid,
Lili Chan,
Kumardeep Chaudhary,
Suraj Jaladanki,
Ishan Paranjpe,
Adam Russak,
Arash Kia,
Prem Timsina,
Matthew A. Levin,
John Cijiang He,
Erwin P. Böttinger,
Alexander Charney,
Zahi A. Fayad,
Steven G. Coca,
Benjamin S. Glicksberg,
Girish N. Nadkarni
Publication year - 2021
Publication title -
clinical journal of the american society of nephrology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.755
H-Index - 151
eISSN - 1555-905X
pISSN - 1555-9041
DOI - 10.2215/cjn.17311120
Subject(s) - medicine , receiver operating characteristic , cohort , logistic regression , imputation (statistics) , emergency medicine , random forest , covid-19 , dialysis , statistics , missing data , disease , artificial intelligence , computer science , mathematics , infectious disease (medical specialty)
AKI treated with dialysis initiation is a common complication of coronavirus disease 2019 (COVID-19) among hospitalized patients. However, dialysis supplies and personnel are often limited.