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Related Concept Videos

Acute Kidney Injury I: Introduction01:22

Acute Kidney Injury I: Introduction

54
Introduction:Acute Kidney Injury (AKI) describes a swift decrease in kidney function occurring over hours to days, characterized by the kidneys' failure to remove waste products from the bloodstream. This leads to dangerous complications like metabolic acidosis, fluid overload, and electrolyte imbalances, such as hyperkalemia, which can cause life-threatening arrhythmias. AKI is common in both hospital and outpatient settings, often triggered by dehydration, sepsis, or exposure to nephrotoxic...
54
Acute Kidney Injury IV: Diagnostic Studies and Prevention01:30

Acute Kidney Injury IV: Diagnostic Studies and Prevention

53
Accurate diagnosis and effective prevention are critical in managing Acute Kidney Injury (AKI), which is linked to high mortality rates ranging from 10% to 80%. Timely recognition of at-risk patients and careful monitoring can significantly reduce the likelihood of kidney damage.Diagnostic Assessments:The diagnostic process starts with a comprehensive medical history to identify prerenal, intrarenal, and postrenal causes.Prerenal causes, such as dehydration, hypotension, or blood loss, should...
53
Acute Kidney Injury III: Clinical Manifestations01:29

Acute Kidney Injury III: Clinical Manifestations

59
Acute Kidney Injury (AKI) progresses through distinct clinical phases: the oliguric, diuretic, and recovery phases, each marked by unique manifestations and challenges.Oliguric Phase:The oliguric phase is the initial stage of AKI, typically lasting 10 to 14 days. This phase is marked by a significant reduction in urine output, usually less than 400 mL per day, indicating decreased kidney function. Fluid retention is a prominent feature, leading to symptoms such as edema, hypertension, and...
59
Acute Kidney Injury V: Interprofessional Care01:20

Acute Kidney Injury V: Interprofessional Care

40
Acute Kidney Injury (AKI) requires a collaborative healthcare approach to restore renal function and prevent complications. Essential management strategies involve monitoring fluid and electrolyte balance, adjusting medications, initiating dialysis when necessary, and providing nutritional support.Fluid and Electrolyte ManagementFluid Monitoring: Regularly monitoring body weight, central venous pressure, and urine output helps detect fluid imbalances early. Patient intake and output are...
40
Acute Kidney Injury II: Pathophysiology01:29

Acute Kidney Injury II: Pathophysiology

49
Acute kidney injury (AKI) causes are categorized into three primary categories based on the location of the injury: prerenal, intrarenal (or intrinsic), and postrenal causes. This classification guides clinical management and illustrates how different pathways can impair kidney function.Etiology and Pathophysiology of Acute Kidney Injury1. Prerenal causesEtiology: Prerenal Acute Kidney Injury, the most common type, occurs when reduced blood flow to the kidneys decreases filtration capacity...
49
Acute Kidney Injury VI: Nursing Management01:22

Acute Kidney Injury VI: Nursing Management

45
Acute Kidney Injury (AKI) results in an inability to maintain fluid, electrolyte, and acid-base balance. Effective nursing management is critical in improving patient outcomes and includes comprehensive patient assessment and targeted interventions.Comprehensive Patient AssessmentA detailed history collection is essential, focusing on any recent infections, nephrotoxic medication use, or chronic conditions such as hypertension and diabetes that may contribute to AKI. During the physical...
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Related Experiment Video

Updated: Aug 19, 2025

A Large Animal Model for Acute Kidney Injury by Temporary Bilateral Renal Artery Occlusion
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An Acute Kidney Injury Prediction Model for 24-hour Ultramarathon Runners.

Po-Ya Hsu1, Yi-Chung Hsu2, Hsin-Li Liu3

  • 1Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, the United States.

Journal of Human Kinetics
|December 2, 2022
PubMed
Summary

Acute kidney injury (AKI) risk in ultrarunners can be predicted using a machine learning model. High muscle mass and regular training may help reduce AKI risk for 24-hour ultramarathon runners.

Keywords:
acute kidney injuryextreme sportsinjury preventionmachine learning

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Area of Science:

  • Sports Medicine
  • Nephrology
  • Biostatistics

Background:

  • Acute kidney injury (AKI) is a significant concern for participants in extreme endurance events like 24-hour ultramarathons.
  • Identifying predictive factors for AKI in ultrarunners is crucial for preventative strategies.

Purpose of the Study:

  • To develop and validate a predictive model for acute kidney injury (AKI) in 24-hour ultramarathon runners.
  • To identify key physiological and training parameters associated with AKI risk.

Main Methods:

  • A support vector machine (SVM) model was employed to classify AKI risk.
  • Prerace data including blood, urine, and body composition were collected from 22 ultrarunners.
  • The SVM model utilized pre-race data to predict AKI development.

Main Results:

  • The best AKI prediction model achieved 96% accuracy in training and 90% in cross-validation.
  • The model demonstrated high performance with 90% sensitivity and 100% specificity.
  • Key predictors for AKI risk were identified based on model components.

Conclusions:

  • Ultrarunners with high muscle mass and consistent ultra-endurance training exhibit a reduced risk of AKI.
  • The developed SVM model offers a reliable tool for assessing AKI risk in 24-hour ultramarathon participants.
  • Recommendations for reducing AKI risk include optimizing body composition and training regimens.