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


ABSTRACT: 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.

SUBMITTER: Muse VP 

PROVIDER: S-EPMC10435957 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

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

Muse Victorine P VP   Aguayo-Orozco Alejandro A   Balaganeshan Sedrah B SB   Brunak Søren S  

Patterns (New York, N.Y.) 20230628 8


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 laborato  ...[more]

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