AIMC Topic: Acute Kidney Injury

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Machine learning for the prediction of 1-year mortality in patients with sepsis-associated acute kidney injury.

BMC medical informatics and decision making Jul 25, 2024
INTRODUCTION: Sepsis-associated acute kidney injury (SA-AKI) is strongly associated with poor prognosis. We aimed to build a machine learning (ML)-based clinical model to predict 1-year mortality in patients with SA-AKI.
Acute Kidney Injury Female Aged Male Humans Machine Learning Algorithms Prognosis Middle Aged Sepsis
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Creatinine clearance in critically ill adults: prospective comparison of prediction by intensive care unit physicians and machine learning models.

Intensive care medicine Jul 24, 2024
Humans Machine Learning Prospective Studies Acute Kidney Injury Adult Male Middle Aged Creatinine Critical Illness Intensive Care Units Female Aged
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Risk prediction of kalaemia disturbance and acute kidney injury after total knee arthroplasty: use of a machine learning algorithm.

Orthopaedics & traumatology, surgery & research : OTSR Jul 22, 2024
INTRODUCTION: Total knee arthroplasty (TKA) is a procedure associated with risks of electrolyte and kidney function disorders, which are rare but can lead to serious complications if not correctly identified. A routine check-up is very often carried ...
Potassium Female Arthroplasty, Replacement, Knee Risk Factors Hyperkalemia Machine Learning Aged Hypokalemia Algorithms Aged, 80 and over Retrospective Studies Male Humans Acute Kidney Injury Middle Aged Risk Assessment Postoperative Complications
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A simple machine learning model for the prediction of acute kidney injury following noncardiac surgery in geriatric patients: a prospective cohort study.

BMC geriatrics Jun 25, 2024
BACKGROUND: Surgery in geriatric patients often poses risk of major postoperative complications. Acute kidney injury (AKI) is a common complication following noncardiac surgery and is associated with increased mortality. Early identification of geria...
Risk Assessment Postoperative Complications Surgical Procedures, Operative Humans Risk Factors Aged Machine Learning Aged, 80 and over Prospective Studies Male Acute Kidney Injury Female
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Personalized prediction of mortality in patients with acute ischemic stroke using explainable artificial intelligence.

European journal of medical research Jun 20, 2024
BACKGROUND: Research into the acute kidney disease (AKD) after acute ischemic stroke (AIS) is rare, and how clinical features influence its prognosis remain unknown. We aim to employ interpretable machine learning (ML) models to study AIS and clarify...
Precision Medicine Prognosis Retrospective Studies Acute Kidney Injury Ischemic Stroke Humans Female Artificial Intelligence Aged Machine Learning Male Algorithms Middle Aged
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Machine Learning-Aided Decision-Making Model for the Discontinuation of Continuous Renal Replacement Therapy.

Blood purification Jun 12, 2024
INTRODUCTION: Continuous renal replacement therapy (CRRT) is a primary form of renal support for patients with acute kidney injury in an intensive care unit. Making an accurate decision of discontinuation is crucial for the prognosis of patients. Pre...
Clinical Decision-Making Female Aged Male Middle Aged Continuous Renal Replacement Therapy Renal Replacement Therapy Humans Acute Kidney Injury Machine Learning Intensive Care Units Algorithms
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Unraveling the genetic and molecular landscape of sepsis and acute kidney injury: A comprehensive GWAS and machine learning approach.

International immunopharmacology Jun 8, 2024
OBJECTIVES: This study aimed to explore the underlying mechanisms of sepsis and acute kidney injury (AKI), including sepsis-associated AKI (SA-AKI), a frequent complication in critically ill sepsis patients.
Genome-Wide Association Study Mice Genetic Predisposition to Disease Acute Kidney Injury Humans Disease Models, Animal Polymorphism, Single Nucleotide Animals Machine Learning Mice, Inbred C57BL Male Prognosis Sepsis
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Predictive approach for liberation from acute dialysis in ICU patients using interpretable machine learning.

Scientific reports Jun 7, 2024
Renal recovery following dialysis-requiring acute kidney injury (AKI-D) is a vital clinical outcome in critical care, yet it remains an understudied area. This retrospective cohort study, conducted in a medical center in Taiwan from 2015 to 2020, enr...
Renal Dialysis ROC Curve Taiwan Critical Care Female Aged Male Middle Aged Retrospective Studies Acute Kidney Injury Intensive Care Units Humans Machine Learning
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Development and external validation of a machine learning model for the prediction of persistent acute kidney injury stage 3 in multi-centric, multi-national intensive care cohorts.

Critical care (London, England) Jun 4, 2024
BACKGROUND: The aim of this retrospective cohort study was to develop and validate on multiple international datasets a real-time machine learning model able to accurately predict persistent acute kidney injury (AKI) in the intensive care unit (ICU).
Male Middle Aged Cohort Studies ROC Curve Intensive Care Units Female Aged Adult Humans Machine Learning Retrospective Studies Acute Kidney Injury
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Interpretable machine learning model for predicting acute kidney injury in critically ill patients.

BMC medical informatics and decision making May 31, 2024
BACKGROUND: This study aimed to create a method for promptly predicting acute kidney injury (AKI) in intensive care patients by applying interpretable, explainable artificial intelligence techniques.
Adult Male Humans Middle Aged Machine Learning Acute Kidney Injury Critical Illness Intensive Care Units Female Aged
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