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• W4309353440 abstract "Abstract We identified mortality-, age-, and sex-associated differences in relation to reference intervals (RI) for laboratory tests in population-wide data from nearly two million hospital patients in Denmark and comprising of 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, impacting both physician-patient interactions and EHR research as a whole." @default.
• W4309353440 created "2022-11-26" @default.
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• W4309353440 date "2022-11-18" @default.
• W4309353440 modified "2023-10-17" @default.
• W4309353440 title "Population-wide analysis of laboratory tests to assess seasonal variation and the relevance of temporal reference interval modification" @default.
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• W4309353440 doi "https://doi.org/10.1101/2022.11.17.22282394" @default.
• W4309353440 hasPublicationYear "2022" @default.
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