An Assessment of the Acute Kidney Injury Network Creatinine-Based Criteria in Patients Submitted to Mechanical Ventilation-Reference-Cited by-同舟云学术

An Assessment of the Acute Kidney Injury Network Creatinine-Based Criteria in Patients Submitted to Mechanical Ventilation

Published:2011-06-23 Issue:7 Volume:6 Page:1547-1555
ISSN:1555-9041
Container-title:Clinical Journal of the American Society of Nephrology
language:en
Short-container-title:CJASN

Author:

Lombardi Raúl,Nin Nicolás,Lorente José A.,Frutos-Vivar Fernando,Ferguson Niall D.,Hurtado Javier,Apezteguia Carlos,Desmery Pablo,Raymondos Konstantinos,Tomicic Vinko,Cakar Nahit,González Marco,Elizalde José,Nightingale Peter,Abroug Fekri,Jibaja Manuel,Arabi Yaseen,Moreno Rui,Matamis Dimitros,Anzueto Antonio,Esteban Andrés,

Publisher

American Society of Nephrology (ASN)

Subject

Transplantation,Nephrology,Critical Care and Intensive Care Medicine,Epidemiology

Reference26 articles.

1. The spectrum of acute renal failure in the intensive care unit compared with that see in other settings;Liaño;Kidney Int,1998

2. Acute Kidney Injury, Mortality, Length of Stay, and Costs in Hospitalized Patients

3. Acute Kidney Injury Increases Risk of ESRD among Elderly

4. Acute Renal Failure Definitions and Classification: Time for Change?

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Early and minimal changes in serum creatinine can predict prognosis in elderly patients receiving invasive mechanical ventilation: A retrospective observational study;Journal of Intensive Medicine;2023-12

2. Relation of Mechanical Ventilation to Acute Kidney Injury in Myocardial Infarction Patients;Cardiorenal Medicine;2023

3. Missed diagnosis of acute kidney injury in older patients with invasive mechanical ventilation: a multicenter retrospective study;Aging Clinical and Experimental Research;2022-08-27

4. Complications of invasive mechanical ventilation in critically Ill Covid-19 patients - A narrative review;Annals of Medicine & Surgery;2022-08

5. Internal and external validation of machine learning–assisted prediction models for mechanical ventilation–associated severe acute kidney injury;Australian Critical Care;2022-07