Prediction models for acute kidney injury in critically ill patients: a protocol for systematic review and critical appraisal

INTRODUCTION: Acute kidney injury (AKI) has high morbidity and mortality in intensive care units, which can lead to chronic kidney disease, more costs and longer hospital stay. Early identification of AKI is crucial for clinical intervention. Although various risk prediction models have been develop...

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Detalles Bibliográficos
Autores principales: Wang, Danqiong, Zhang, Weiwen, Luo, Jian, Fang, Honglong, Jing, Shanshan, Mei, Zubing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Intensive Care
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137185/
https://www.ncbi.nlm.nih.gov/pubmed/34011595
http://dx.doi.org/10.1136/bmjopen-2020-046274

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137185/
https://www.ncbi.nlm.nih.gov/pubmed/34011595
http://dx.doi.org/10.1136/bmjopen-2020-046274

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