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From evidence to practice: development of web-based Dutch lipid reference values.

N S Nurmohamed1,2, D Collard1, J W Balder3

  • 1Department of Vascular Medicine, Amsterdam University Medical Centers, location AMC, University of Amsterdam, Amsterdam, The Netherlands.

Netherlands Heart Journal : Monthly Journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation
|April 12, 2021
PubMed
Summary

This study provides accessible, age- and sex-specific lipid reference values for the Netherlands. The new online tool aids in screening for dyslipidemias and optimizing lipid-lowering therapy.

Keywords:
CVDCholesterolLDL‑CLipidsPreventionReference values

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Area of Science:

  • Biomedical Informatics
  • Clinical Chemistry
  • Public Health

Background:

  • Over 500,000 lipid profiles are measured annually in the Netherlands.
  • Lipid values are significantly influenced by age and sex.
  • Previously, up-to-date, age- and sex-specific lipid reference values were unavailable.

Purpose of the Study:

  • To translate large-scale lipid data into easily accessible reference values for clinical practice.
  • To develop an interactive tool for displaying age- and sex-specific lipid percentiles.
  • To support screening for dyslipidemias and improve lipid-lowering therapy in primary prevention.

Main Methods:

  • Utilized lipid values (total cholesterol, LDL, HDL, triglycerides) from the LifeLines cohort (n=141,611).
  • Generated age- and sex-specific percentiles using RStudio.
  • Developed a responsive web layout using CSS and HTML for interactive display.

Main Results:

  • Created a searchable website (www.lipidtools.com) with input fields for age, sex, and lipid values.
  • Output includes corresponding percentiles displayed in tables and interactive graphs for each lipid.
  • The tool is available in Dutch and English.

Conclusions:

  • Developed the first searchable, national lipid reference value tool with graphical display in the Netherlands.
  • Aims to facilitate dyslipidemia screening and reduce underuse of lipid-lowering therapy in primary prevention.
  • Demonstrates the accessibility of big-cohort data through modern digital techniques, heralding advancements in digital health.