Big data and reference intervals: rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine data
Adv Lab Med. 2020 Aug 8;2(1):9-25.
doi: 10.1515/almed-2020-0034.
eCollection 2021 Mar.
[Article in
English,
Spanish]
Affiliations
- 1 Clinical Biochemistry Department, Vall d'Hebron University Hospital, Barcelona, Spain.
- 2 Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Centre, Leiden, The Netherlands.
- 3 Department de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Bellaterra, Spain.
- 4 Department of Clinical Biochemistry, University Hospital of Salamanca, Salamanca, Spain.
- 5 Department of Medical Biochemistry, Uludag University School of Medicine, Bursa, Turkey.
- 6 Diagnost-IQ, Expert Centre for Clinical Chemistry, Purmerend, The Netherlands.
- 7 Laboratori de Referència d'Enzimologia Clínica, Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Bellaterra, Spain.
- 8 Laboratory for Clinical Chemistry and Hematology, Amphia, Breda, The Netherlands.
- 9 Stichting Kwaliteitsbewaking Medische Laboratoriumdiagnostiek, Nijmegen, The Netherlands.
Abstract
Reference intervals are commonly used as a decision-making tool. In this review, we provide an overview on "big data" and reference intervals, describing the rationale, current practices including statistical methods, essential prerequisites concerning data quality, including harmonization and standardization, and future perspectives of the indirect determination of reference intervals using routine laboratory data.
Keywords:
big data; indirect methods; reference intervals.
© 2020 Luisa Martinez-Sanchez et al., published by De Gruyter, Berlin/Boston.