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 Experiment Videos

Clinical interpretation of reference intervals and reference limits. A plea for assay harmonization.

George G Klee1

  • 1Department of Laboratory Medicine and Pathology, Mayo Clinic and Mayo Foundation, Rochester, Minnesota 55905, USA. klee.george@mayo.edu

Clinical Chemistry and Laboratory Medicine
|August 26, 2004
PubMed
Summary

Establishing reliable laboratory test interpretation requires harmonized testing conditions and reference intervals. This ensures accurate clinical decisions, especially when using thyroid-stimulating hormone (TSH) and free thyroxine measurements.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Prospective validation of microseminoprotein-β added to the 4Kscore in predicting high-grade prostate cancer in an international multicentre cohort.

BJU international·2020
Same author

Kallikrein markers performance in pretreatment blood to predict early prostate cancer recurrence and metastasis after radical prostatectomy among very high-risk men.

The Prostate·2019
Same author

Reference Intervals: Comparison of Calculation Methods and Evaluation of Procedures for Merging Reference Measurements From Two US Medical Centers.

American journal of clinical pathology·2018
Same author

Criteria for assigning laboratory measurands to models for analytical performance specifications defined in the 1st EFLM Strategic Conference.

Clinical chemistry and laboratory medicine·2016
Same author

Interleukins 6 and 8 and abdominal fat depots are distinct correlates of lipid moieties in healthy pre- and postmenopausal women.

Endocrine·2016
Same author

Multiple calibrator measurements improve accuracy and stability estimates of automated assays.

Scandinavian journal of clinical and laboratory investigation·2016

Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Medical Decision Making

Background:

  • Reference intervals are crucial for interpreting laboratory test results in both healthy and diseased populations.
  • Consistency in testing conditions between reference data collection and patient testing is vital for accurate interpretation.
  • Interlaboratory and intralaboratory variations can significantly impact clinical decisions.

Purpose of the Study:

  • To illustrate the application of reference intervals from healthy and diseased populations in clinical decision-making.
  • To demonstrate the influence of factors like age on test result interpretation.
  • To showcase the use of thyroid-stimulating hormone (TSH) and free thyroxine measurements for diagnosing thyroid disorders.

Main Methods:

Related Experiment Videos

  • Discussion of univariate and multivariate reference intervals.
  • Illustration of age-related effects on test interpretation.
  • Examples using thyroid-stimulating hormone (TSH) and free thyroxine for thyroid disease diagnosis.
  • Presentation of model systems incorporating disease prevalence and cost-utility functions for decision optimization.

    • Main Results:

    • Harmonization of laboratory testing methods could enable reliable sharing of reference data.
    • Age differences can significantly affect the interpretation of laboratory test results.
    • Combined TSH and free thyroxine measurements improve thyroid disease diagnosis.

    Conclusions:

    • Standardizing laboratory testing conditions is essential for accurate clinical interpretation and data sharing.
    • Reference intervals, considering factors like age and disease prevalence, optimize medical decision-making.
    • Thyroid function testing, particularly using TSH and free thyroxine, benefits from robust reference data.