Acute Kidney Injury Prediction Model Using Cystatin-C, Beta-2 Microglobulin, and Neutrophil Gelatinase-Associated Lipocalin Biomarker in Sepsis Patients

Acute Kidney Injury Prediction Model Using Cystatin-C, Beta-2 Microglobulin, and Neutrophil Gelatinase-Associated Lipocalin Biomarker in Sepsis Patients

Hani Susianti,1 Aswoco Andyk Asmoro,2 Sujarwoto,3 Wiwi Jaya,2 Heri Sutanto,4 Amanda Yuanita Kusdijanto,1 Kevin Putro Kuwoyo,1 Kristian Hananto,5 Matthew Brian Khrisna1 1Clinical Pathology Department, Faculty of Medicine Brawijaya University/Saiful Anwar General Hospital, Malang, Indonesia; 2Anesthes...

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Bibliographic Details
Main Authors: Susianti H, Asmoro AA, Sujarwoto, Jaya W, Sutanto H, Kusdijanto AY, Kuwoyo KP, Hananto K, Khrisna MB
Format: Article
Language:English
Published: Dove Medical Press 2024-03-01
Series:International Journal of Nephrology and Renovascular Disease
Subjects:
machine learning
sepsis
aki
cystatin c
beta-2 microglobulin
ngal
Online Access:https://www.dovepress.com/acute-kidney-injury-prediction-model-using-cystatin-c-beta-2-microglob-peer-reviewed-fulltext-article-IJNRD

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https://www.dovepress.com/acute-kidney-injury-prediction-model-using-cystatin-c-beta-2-microglob-peer-reviewed-fulltext-article-IJNRD

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