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

• Published in: BMJ open Vol. 11; no. 5; p. e046274
• Main Authors: Wang, Danqiong, Zhang, Weiwen, Luo, Jian, Fang, Honglong, Jing, Shanshan, Mei, Zubing
• Format: Journal Article
• Language: English
• Published: England British Medical Journal Publishing Group 19.05.2021; BMJ Publishing Group LTD; BMJ Publishing Group
• Series: Protocol
• Subjects: Acute Kidney Injury - diagnosis; acute renal failure; adult intensive & critical care; Biomarkers; Calibration; Clinical medicine; Content analysis; Critical Care; Critical Illness; Decision making; Emergency medical care; Humans; Illnesses; intensive & critical care; Intensive Care; Intensive Care Units; Kidney diseases; Meta-Analysis as Topic; risk management; Systematic review; Systematic Reviews as Topic; risk management; acute renal failure; adult intensive & critical care; intensive & critical care
• ISSN: 2044-6055; 2044-6055
• DOI: 10.1136/bmjopen-2020-046274

IntroductionAcute 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 developed...