Population-wide analysis of hospital laboratory tests to assess seasonal variation and temporal reference interval modification

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We identified mortality-, age-, and sex-associated differences in relation to reference intervals (RIs) for laboratory tests in population-wide data from nearly 2 million hospital patients in Denmark and comprising more than 300 million measurements. A low-parameter mathematical wave-based modification method was developed to adjust for dietary and environment influences during the year. The resulting mathematical fit allowed for improved association rates between re-classified abnormal laboratory tests, patient diagnoses, and mortality. The study highlights the need for seasonally modified RIs and presents an approach that has the potential to reduce over- and underdiagnosis, affecting both physician-patient interactions and electronic health record research as a whole.

Original languageEnglish
Article number100778
Issue number8
Number of pages14
Publication statusPublished - 2023

Bibliographical note

Publisher Copyright:
© 2023 The Author(s)

    Research areas

  • DSML3: Development/pre-production: Data science output has been rolled out/validated across multiple domains/problems, health data science, hospital laboratory tests, mortality, reference intervals, seasonality

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