The assessment, serial evaluation, and subsequent sequelae of acute kidney injury (ASSESS-AKI) study: design and methods
Background The incidence of acute kidney injury (AKI) has been increasing over time and is
associated with a high risk of short-term death. Previous studies on hospital-acquired AKI …
associated with a high risk of short-term death. Previous studies on hospital-acquired AKI …
[HTML][HTML] The severity of acute kidney injury predicts progression to chronic kidney disease
LS Chawla, RL Amdur, S Amodeo, PL Kimmel… - Kidney international, 2011 - Elsevier
Acute kidney injury (AKI) is associated with progression to advanced chronic kidney disease
(CKD). We tested whether patients who survive AKI and are at higher risk for CKD …
(CKD). We tested whether patients who survive AKI and are at higher risk for CKD …
Machine learning for the prediction of acute kidney injury in critical care patients with acute cerebrovascular disease
X Zhang, S Chen, K Lai, Z Chen, J Wan, Y Xu - Renal Failure, 2022 - Taylor & Francis
Purpose Acute kidney injury (AKI) is a common complication and associated with a poor
clinical outcome. In this study, we developed and validated a model for predicting the risk of …
clinical outcome. In this study, we developed and validated a model for predicting the risk of …
Nomogram to predict the risk of septic acute kidney injury in the first 24 h of admission: an analysis of intensive care unit data
F Deng, M Peng, J Li, Y Chen, B Zhang, S Zhao - Renal Failure, 2020 - Taylor & Francis
Background Acute kidney injury (AKI) is a significant cause of morbidity and mortality,
especially in sepsis patients. Early prediction of AKI can help physicians determine the …
especially in sepsis patients. Early prediction of AKI can help physicians determine the …
[HTML][HTML] Risk factors and prognosis assessment for acute kidney injury: The 2020 consensus of the Taiwan AKI Task Force
Risk and prognostic factors for acute kidney injury (AKI) have been published in various
studies across various populations. We aimed to explore recent advancements in and …
studies across various populations. We aimed to explore recent advancements in and …
Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: a proof of concept
NK Tran, S Sen, TL Palmieri, K Lima, S Falwell… - Burns, 2019 - Elsevier
Background Burn critical care represents a high impact population that may benefit from
artificial intelligence and machine learning (ML). Acute kidney injury (AKI) recognition in …
artificial intelligence and machine learning (ML). Acute kidney injury (AKI) recognition in …