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

One-Compartment Open Model: Urinary Excretion Data and Determination of k01:11

One-Compartment Open Model: Urinary Excretion Data and Determination of k

742
The one-compartment open model leverages urinary excretion data to estimate renal clearance, which gauges the kidney's capacity to expel a drug. This method offers several benefits, including directly measuring drug elimination and assessing the kidney's contribution to overall drug clearance. However, this approach has limitations. It assumes sole renal excretion of the drug, which is not true for all drugs. Accurate urinary excretion and plasma drug concentration measurement can also...
742
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

11.3K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
11.3K
Drug Dosing in Renal Diseases: Measurement of Glomerular Filtration Rate01:25

Drug Dosing in Renal Diseases: Measurement of Glomerular Filtration Rate

91
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...
91
Urine Studies I: Urinalysis01:29

Urine Studies I: Urinalysis

2.0K
Urinalysis is a widely used diagnostic test that analyzes urine's physical, chemical, and microscopic characteristics. Healthcare providers use it to detect and monitor various health conditions, including renal disease, urinary tract infections (UTIs), diabetes, and metabolic or systemic disorders.Components of UrinalysisUrinalysis consists of three primary components: physical, chemical, and microscopic examination. Each provides unique insights into the urine sample and, by extension, the...
2.0K
Renal Drug Clearance: Comparison Between Renal Excretion Methods01:08

Renal Drug Clearance: Comparison Between Renal Excretion Methods

738
Renal clearance is a critical parameter encompassing kidney filtration, secretion, and reabsorption processes. It is calculated using a specific equation to determine the rate at which the kidneys clear a drug.
Renal clearance is often associated with the renal glomerular filtration rate (GFR), which represents the rate at which plasma is filtered through the glomeruli in the kidney. When drug reabsorption is minimal and there is no active secretion, renal clearance is closely related to the...
738
Data Validation01:15

Data Validation

3.5K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
3.5K

You might also read

Related Articles

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

Sort by
Same author

ADLM Guidance Document on Incorporating Gender Diversity in Pathology and Laboratory Medicine.

The journal of applied laboratory medicine·2026
Same author

Incidence and Characteristics of Residual Heparin Effect in Cardiothoracic Surgical Patients using Sonorheometry Clot Time Ratio.

Journal of cardiothoracic and vascular anesthesia·2026
Same author

Quantra Qstat reference range validation in third trimester uncomplicated pregnancy at time of delivery.

Clinical chemistry and laboratory medicine·2026
Same author

Alpha-2 antiplasmin deficiency: a rare fibrinolytic disorder identified after decades of diagnostic delay.

Blood coagulation & fibrinolysis : an international journal in haemostasis and thrombosis·2026
Same author

The clinical use of cryoprecipitate and fibrinogen concentrate: A scoping review.

Transfusion·2026
Same author

A Diagnostic Journey through a Rare Hemostatic Disorder.

The journal of applied laboratory medicine·2026

Related Experiment Video

Updated: Mar 19, 2026

Assessment of Kidney Function in Mouse Models of Glomerular Disease
09:16

Assessment of Kidney Function in Mouse Models of Glomerular Disease

Published on: June 30, 2018

18.8K

Method-to-method variability in urine albumin measurements.

Anna E Merrill1, Jenna Khan1, Jane A Dickerson2

  • 1Department of Laboratory Medicine, University of Washington, Seattle, WA, United States.

Clinica Chimica Acta; International Journal of Clinical Chemistry
|June 19, 2016
PubMed
Summary

A reformulated urine albumin reagent meets performance claims but shows method-specific biases. High concentrations can cause falsely low results, impacting clinical interpretation of renal microvascular disease.

Keywords:
AU680Hook effectMethod validationMicroalbuminStandardizationUrine albumin

More Related Videos

Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing
06:55

Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing

Published on: May 8, 2021

6.4K
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

3.6K

Related Experiment Videos

Last Updated: Mar 19, 2026

Assessment of Kidney Function in Mouse Models of Glomerular Disease
09:16

Assessment of Kidney Function in Mouse Models of Glomerular Disease

Published on: June 30, 2018

18.8K
Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing
06:55

Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing

Published on: May 8, 2021

6.4K
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

3.6K

Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Diagnostic Assays

Background:

  • Urine albumin (uALB) is a critical biomarker for diagnosing and managing renal microvascular disease.
  • Beckman Coulter updated their uALB reagent for AU instruments to expand the analytical measurement range (AMR).

Purpose of the Study:

  • To evaluate the performance of the reformulated Beckman Coulter AU urine albumin reagent.
  • To compare the reformulated reagent against the previous AU reagent and the Siemens Vista assay.
  • To assess the hook effect in urine albumin assays across multiple instruments.

Main Methods:

  • Assessed precision, linearity, reportable range, and analytical sensitivity of the reformulated reagent on an AU680.
  • Compared the reformulated AU reagent with the prior AU reagent and Siemens Vista using residual urine.
  • Evaluated the hook effect by spiking serum into albumin-free urine across five instruments.

Main Results:

  • The reformulated reagent demonstrated acceptable precision and linearity within its AMR.
  • Method comparison showed an 11% positive bias versus the original AU reagent and an 11% negative bias versus the Siemens Vista.
  • Falsely low urine albumin results occurred at concentrations above 3000 mg/dL for both AU reagents; the DCA Vantage assay exhibited hook effect at lower concentrations.

Conclusions:

  • The reformulated AU uALB reagent meets manufacturer specifications.
  • The AU and DCA Vantage assays were susceptible to the hook effect within the tested concentration range.
  • Significant method-to-method biases in urine albumin assays can lead to clinically relevant post-analytical errors, highlighting a lack of standardization.