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Related Concept Videos

Dosage Regimen Designs: Nomograms and Tabulations01:23

Dosage Regimen Designs: Nomograms and Tabulations

Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
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Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration

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. This equation is...
Drug Dosing in Renal Diseases: Measurement of Glomerular Filtration Rate01:25

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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...
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Drug Dosing in Renal Diseases: Measurement of Serum Creatinine Concentration and Clearance

In healthy individuals, serum creatinine levels remain stable due to a balance between its constant production—primarily from muscle metabolism—and renal excretion. Creatinine is freely filtered by the glomeruli, making it a valuable marker for estimating renal function. When the glomerular filtration rate (GFR) decreases, the kidneys can only eliminate less creatinine, causing serum levels to rise.Serum creatinine concentration is widely used to estimate creatinine clearance (Clcr), a...
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Related Experiment Video

Updated: Jun 28, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

MrNomogram: a web-based multivariable pediatric renal nomogram.

John J Chen1, Jizu Zhi, Wenyang Mao

  • 1Department of Preventive Medicine, Stony Brook University, Stony Brook, NY 11794-8036, USA. john.chen@stonybrook.edu

Journal of Pediatric Urology
|October 25, 2008
PubMed
Summary
This summary is machine-generated.

The Multivariable Pediatric Renal Nomogram (MrNomogram) is a web tool offering precise pediatric kidney length predictions. It improves accuracy by considering multiple patient factors beyond just age.

Related Experiment Videos

Last Updated: Jun 28, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

Area of Science:

  • Pediatric Nephrology
  • Medical Informatics
  • Biostatistics

Background:

  • Traditional renal nomograms often rely solely on age, potentially limiting accuracy in pediatric kidney length assessment.
  • Pediatric renal length is influenced by various demographic factors, including age, gender, and height.
  • Existing nomograms may not fully account for these multifactorial influences.

Purpose of the Study:

  • To introduce the Multivariable Pediatric Renal Nomogram (MrNomogram), a novel web-based clinical tool.
  • To provide a more accurate method for evaluating pediatric renal length.
  • To demonstrate the utility of incorporating multiple demographic variables into renal nomograms.

Main Methods:

  • Development of a web-based platform, MrNomogram.
  • Integration of multivariable analysis to account for demographic variables (age, gender, height, etc.).
  • Validation of the nomogram's predictive accuracy compared to existing methods.

Main Results:

  • MrNomogram offers enhanced prediction of pediatric renal length.
  • The tool provides more accurate estimations by considering a wider range of patient characteristics.
  • Demonstrated improved clinical utility for evaluating renal size in children.

Conclusions:

  • The Multivariable Pediatric Renal Nomogram (MrNomogram) represents a significant advancement in pediatric renal assessment.
  • Incorporating multiple demographic variables leads to more precise predictions of renal length.
  • MrNomogram is a valuable web-based tool for clinicians evaluating pediatric kidney size.