AIMC Topic: Acute Kidney Injury

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Risk prediction for acute kidney disease and adverse outcomes in patients with chronic obstructive pulmonary disease: an interpretable machine learning approach.

Renal failure
BACKGROUND: Little is known about acute kidney injury (AKI) and acute kidney disease (AKD) in patients with chronic obstructive pulmonary disease (COPD) and COPD mortality based on the acute/subacute renal injury. This study develops machine learning...

Identification of key genes in cuproptosis during acute kidney injury through weighted gene co-expression network analysis.

Medicine
Acute kidney injury (AKI) is a serious condition characterized by a rapid decline in renal function, leading to severe complications. Recent findings suggest that cuproptosis-related genes (CuRGs) influence AKI mechanisms. This study investigated CuR...

[Research on risk prediction of acute respiratory distress syndrome complicated with acute kidney injury: progress and challenges].

Zhonghua yi xue za zhi
The risk of acute respiratory distress syndrome (ARDS) combined with acute kidney injury (AKI) is high and the prognosis is poor. Therefore, there is an urgent need for efficient and accurate methods to improve clinical doctors' early diagnosis and p...

Machine learning models for acute kidney injury prediction and management: a scoping review of externally validated studies.

Critical reviews in clinical laboratory sciences
Despite advancements in medical care, acute kidney injury (AKI) remains a major contributor to adverse patient outcomes and presents a significant challenge due to its associated morbidity, mortality, and financial cost. Machine learning (ML) is incr...

Sepsis criteria and kidney function: eliminating sex, age and economic status biases.

Nature reviews. Nephrology
The kidney is a target organ for the dysregulated host response to infection that defines sepsis, and acute kidney injury (AKI) is often an early manifestation of this response. Current sepsis criteria for adults (Sepsis-3) continue to include outmod...

Development and Validation of Ultrasound Hemodynamic-based Prediction Models for Acute Kidney Injury After Renal Transplantation.

Academic radiology
RATIONALE AND OBJECTIVES: Acute kidney injury (AKI) post-renal transplantation often has a poor prognosis. This study aimed to identify patients with elevated risks of AKI after kidney transplantation.

MACHINE LEARNING AND BIOINFORMATICS TO IDENTIFY COAGULATION BIOMARKERS IN SEPSIS-RELATED KIDNEY INJURY.

Shock (Augusta, Ga.)
Background: Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication with mortality rates exceeding 50%, yet its molecular drivers remain poorly defined. Dysregulated coagulation is increasingly implicated in SA-AKI pathogene...

Attention to early stages: predicting acute kidney injury in a post cardiosurgical ICU setting using an inclusive time-to-event model.

Computers in biology and medicine
BACKGROUND: Acute kidney injury (AKI) is a critical complication in intensive care units (ICUs) that is known to have multifaceted impacts. However, as AKI is often detected too late, early prediction is crucial for timely intervention.