Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration01:28

Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration

307
Glomerular filtration rate (GFR) can be estimated from serum creatinine using the modification of diet in renal disease (MDRD) formula or the chronic kidney disease–epidemiology collaboration (CKD–EPI) equation. Both methods are widely used in clinical practice to assess kidney function and guide treatment decisions.The MDRD equation does not require weight or height measurements and is normalized to the body surface area of 1.73 m², considered the average adult surface area.
307
Chronic Kidney Disease III: Interprofessional Care01:28

Chronic Kidney Disease III: Interprofessional Care

621
Chronic kidney disease (CKD) requires collaborative and comprehensive management. CKD progresses through stages and can lead to end-stage kidney disease (ESKD) if untreated. Interprofessional collaboration and patient education are crucial, enabling patients to manage their health and improve their quality of life.Diagnostic approach for chronic kidney diseaseThe diagnosis of CKD primarily focuses on the glomerular filtration rate (GFR), which assesses kidney function by measuring how well...
621
Chronic Kidney Disease I: Introduction01:25

Chronic Kidney Disease I: Introduction

1.1K
Chronic Kidney Disease (CKD) arises when the kidneys progressively lose their ability to function, ultimately leading to end-stage renal disease. At this advanced stage, the kidneys can no longer filter waste or maintain essential body functions, requiring renal replacement therapy (RRT) through dialysis or a kidney transplant for survival.Early-stage chronic kidney disease and detection challengesIn CKD's early stages, symptoms often remain absent because healthy nephrons compensate for...
1.1K
Chronic Kidney Disease II: Clinical Manifestations01:24

Chronic Kidney Disease II: Clinical Manifestations

950
Chronic Kidney Disease (CKD) progressively impairs multiple body systems due to the accumulation of uremic toxins, which disrupt cellular functions across various organs.Neurologic symptomsNeurologic symptoms often arise early in CKD, as uremic toxin buildup drives changes in cognitive and motor functions. Patients frequently experience fatigue, headache, confusion, difficulty concentrating, and, in severe cases, seizures. Peripheral neuropathy commonly manifests as burning sensations in the...
950
Acute Kidney Injury IV: Diagnostic Studies and Prevention01:30

Acute Kidney Injury IV: Diagnostic Studies and Prevention

487
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...
487
Drug Dosing in Renal Diseases: Measurement of Glomerular Filtration Rate01:25

Drug Dosing in Renal Diseases: Measurement of Glomerular Filtration Rate

102
The glomerular filtration rate (GFR) is a critical indicator of kidney health, reflecting how well the kidneys filter blood. Changes in GFR can signal potential kidney impairment, necessitating accurate measurement methods to monitor kidney function effectively.Various molecules can serve as markers for GFR measurement, with the ideal marker meeting several specific criteria. It must freely filter at the glomerulus, avoid reabsorption or secretion by the renal tubules, remain unmetabolized, not...
102

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Kidney Survival in Children With Steroid-Resistant Nephrotic Syndrome Treated by Rituximab.

Kidney international reports·2026
Same author

Intragraft donor-specific antibodies reflect histologic heterogeneity in kidney allografts with concurrent serum DSA.

Frontiers in immunology·2026
Same author

Corrigendum to "Cross-Population Validation of the Pediatric CKD Risk-Prediction Tool" [<i>Kidney International Reports</i> Volume 11, Issue 5, May 2026, 106373].

Kidney international reports·2026
Same author

Clinical practice recommendations for the management of Alport syndrome: a joint statement of the Korean Society of Nephrology and the Korean Society of Pediatric Nephrology.

Kidney research and clinical practice·2026
Same author

Correlation Between Renal Biomarkers, Glomerular Filtration Rate, and Meropenem Clearance in Pediatric Septic Shock.

The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG·2026
Same author

Executive summary of evidence-based clinical practice guideline for Fabry nephropathy.

Kidney research and clinical practice·2026

Related Experiment Video

Updated: Mar 31, 2026

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.7K

Cross-Population Validation of the Pediatric CKD Risk-Prediction Tool.

Peong Gang Park1,2, Jayoun Kim3, Naye Choi4

  • 1Division of Pediatric Nephrology, Severance Children's Hospital, Seoul, South Korea.

Kidney International Reports
|March 30, 2026
PubMed
Summary

This study validated a kidney replacement therapy (KRT) risk calculator for pediatric chronic kidney disease (CKD) in East Asian children. The calculator showed strong predictive ability, especially when incorporating estimated GFR slope, aiding clinical decisions.

Keywords:
chronic kidney diseasekidney replacement therapypediatric nephrologypredictionrisk stratification

More Related Videos

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

8.3K
Isogenic Kidney Glomerulus Chip Engineered from Human Induced Pluripotent Stem Cells
10:23

Isogenic Kidney Glomerulus Chip Engineered from Human Induced Pluripotent Stem Cells

Published on: November 4, 2022

3.7K

Related Experiment Videos

Last Updated: Mar 31, 2026

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.7K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

8.3K
Isogenic Kidney Glomerulus Chip Engineered from Human Induced Pluripotent Stem Cells
10:23

Isogenic Kidney Glomerulus Chip Engineered from Human Induced Pluripotent Stem Cells

Published on: November 4, 2022

3.7K

Area of Science:

  • Pediatric Nephrology
  • Biostatistics
  • Clinical Epidemiology

Background:

  • Chronic kidney disease (CKD) affects children globally, necessitating accurate prognostication tools.
  • Predicting kidney replacement therapy (KRT) is crucial for managing pediatric CKD.
  • External validation of existing risk calculators in diverse populations is essential.

Purpose of the Study:

  • To externally validate the performance of a KRT risk prediction calculator for pediatric CKD.
  • To assess the calculator's utility in an ethnically distinct East Asian cohort.
  • To identify potential improvements for enhanced predictive accuracy.

Main Methods:

  • Utilized the KoreaN Cohort Study on Outcomes in Pediatric CKD (KNOW-Ped CKD) cohort for validation.
  • Employed six parametric survival models from the generalized gamma family, stratified by GFR change or cross-sectional data.
  • Addressed missing data using multiple imputations and evaluated performance via goodness-of-fit, discrimination, calibration, and predictive ability.

Main Results:

  • Included 533 children with a median follow-up of 4.8 years; 32.1% initiated KRT.
  • Validated models demonstrated excellent discrimination (C-statistic: 0.911-0.972) and calibration slopes > 0.9.
  • Models incorporating estimated GFR slope showed the best alignment with observed KRT initiation risks, despite some miscalibration noted by the goodness-of-fit test.

Conclusions:

  • The KRT risk prediction calculator shows potential for improving prognostication in pediatric CKD.
  • Enhanced models, particularly those using eGFR slope, offer improved accuracy for clinical decision-making.
  • External validation in diverse populations confirms the calculator's applicability and highlights areas for refinement.