z-logo
open-access-imgOpen Access
A Decision-Making Algorithm for Initiation and Discontinuation of RRT in Severe AKI
Author(s) -
Mallika L. Mendu,
George Ciociolo,
Sarah McLaughlin,
Dionne A. Graham,
Roya Ghazinouri,
Siddharth Parmar,
Alissa Grossier,
Rebecca Rosen,
Karl Laskowski,
Leonardo V. Riella,
Emily Robinson,
David M. Charytan,
Joseph V. Bonventre,
Jeffrey O. Greenberg,
Sushrut S. Waikar
Publication year - 2017
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.07170716
Subject(s) - medicine , emergency medicine , discontinuation , intensive care medicine , risk assessment , cohort , severity of illness , intensive care unit , clinical decision support system , health care , computer security , computer science , economics , economic growth
AKI is an increasingly common and devastating complication in hospitalized patients. Severe AKI requiring RRT is associated with in-hospital mortality rates exceeding 40%. Clinical decision making related to RRT initiation for patients with AKI in the medical intensive care unit is not standardized.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom