Sepsis associated acute kidney injury

JT Poston, JL Koyner - Bmj, 2019 - bmj.com
Sepsis is defined as organ dysfunction resulting from the host's deleterious response to
infection. One of the most common organs affected is the kidneys, resulting in sepsis …

Multi-omics techniques make it possible to analyze sepsis-associated acute kidney injury comprehensively

J Qiao, L Cui - Frontiers in Immunology, 2022 - frontiersin.org
Sepsis-associated acute kidney injury (SA-AKI) is a common complication in critically ill
patients with high morbidity and mortality. SA-AKI varies considerably in disease …

Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy

MW Kang, J Kim, DK Kim, KH Oh, KW Joo, YS Kim… - Critical Care, 2020 - Springer
Background Previous scoring models such as the Acute Physiologic Assessment and
Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment …

Construction and validation of prognostic models in critically Ill patients with sepsis-associated acute kidney injury: interpretable machine learning approach

Z Fan, J Jiang, C Xiao, Y Chen, Q Xia, J Wang… - Journal of translational …, 2023 - Springer
Background Acute kidney injury (AKI) is a common complication in critically ill patients with
sepsis and is often associated with a poor prognosis. We aimed to construct and validate an …

Machine learning algorithm to predict mortality in critically ill patients with sepsis-associated acute kidney injury

X Li, R Wu, W Zhao, R Shi, Y Zhu, Z Wang, H Pan… - Scientific Reports, 2023 - nature.com
This study aimed to establish and validate a machine learning (ML) model for predicting in-
hospital mortality in patients with sepsis-associated acute kidney injury (SA-AKI). This study …

A prediction model for assessing prognosis in critically ill patients with sepsis-associated acute kidney injury

H Hu, L Li, Y Zhang, T Sha, Q Huang, X Guo, S An… - Shock, 2021 - journals.lww.com
Background: Sepsis-associated acute kidney injury (SA-AKI) is a common problem in
critically ill patients and is associated with high morbidity and mortality. Early prediction of …

Optimal timing of initiating continuous renal replacement therapy in septic shock patients with acute kidney injury

BR Yoon, AY Leem, MS Park, YS Kim, KS Chung - Scientific Reports, 2019 - nature.com
Acute kidney injury (AKI) in patients with septic shock is associated with high mortality, but
the appropriate timing for initiating continuous renal replacement therapy (CRRT) is …

Predicting mortality using machine learning algorithms in patients who require renal replacement therapy in the critical care unit

HH Chang, JH Chiang, CS Wang, PF Chiu… - Journal of Clinical …, 2022 - mdpi.com
Background: General severity of illness scores are not well calibrated to predict mortality
among patients receiving renal replacement therapy (RRT) for acute kidney injury (AKI). We …

Clinical characteristics of sepsis-induced acute kidney injury in patients undergoing continuous renal replacement therapy

AY Cho, HJ Yoon, KY Lee, IO Sun - Renal failure, 2018 - Taylor & Francis
Objective: The aim of this study was to investigate the clinical characteristics of sepsis-
induced acute kidney injury (AKI) in patients undergoing continuous renal replacement …

Development and validation of machine learning models for real-time mortality prediction in critically ill patients with sepsis-associated acute kidney injury

XQ Luo, P Yan, SB Duan, YX Kang, YH Deng… - Frontiers in …, 2022 - frontiersin.org
Background Sepsis-associated acute kidney injury (SA-AKI) is common in critically ill
patients, which is associated with significantly increased mortality. Existing mortality …