[en] [en] BACKGROUND AND AIMS: In laboratory medicine, test results are generally interpreted with 95% reference intervals but correlations between laboratory tests are usually ignored. We aimed to use hospital big data to optimize and personalize laboratory data interpretation, focusing on platelet count.
MATERIAL AND METHODS: Laboratory tests were extracted from the hospital database and exploited by an algorithmic stepwise procedure. For any given laboratory test Y, an "optimized and personalized reference population" was defined by keeping only patients whose laboratory values for all Y-correlated tests fell within their own usual reference intervals, and by partitioning groups by individual-specific variables like sex and age category. The method was applied to platelet count.
RESULTS: Laboratory data were recorded for 28,082 individuals. At the end of the algorithmic process, seven correlated laboratory tests were chosen, resulting in a reference sample of 159 platelet counts. A new 95 % reference interval was constructed [152-334 × 109/L], notably reduced (27.2 %) compared to conventional reference values [150-400 × 109/L]. The reference interval was validated on a sample of 2,129 patients from another downtown laboratory, emphasizing the potential transference of the hospital-derived reference limits.
CONCLUSION: This method offers new perspectives in laboratory data interpretation, especially in patient screening and longitudinal follow-up.
Disciplines :
Human health sciences: Multidisciplinary, general & others
Author, co-author :
Boutin, Ronan; Bio Logbook, 1 rue Julien Videment, 44200 Nantes, France. Electronic address: ronan.boutin@biologbook.fr
Rolland, Jakez; Bio Logbook, 1 rue Julien Videment, 44200 Nantes, France, Nantes University, École Centrale Nantes, CNRS, LS2N, UMR 6004, 1 Rue de la Noë, 44321 Nantes, France. Electronic address: jakez.rolland@biologbook.fr
Codet, Marie; Bio Logbook, 1 rue Julien Videment, 44200 Nantes, France. Electronic address: marie.codet@biologbook.fr
Bézier, Clément ; Bio Logbook, 1 rue Julien Videment, 44200 Nantes, France, University of Western Brittany, INSERM, LBAI, UMR1227, 9 Rue Félix le Dantec, 29200 Brest, France. Electronic address: clement.bezier@biologbook.fr
Maes, Nathalie ; Université de Liège - ULiège > Département des sciences de la santé publique
Kolh, Philippe ; Université de Liège - ULiège > Département des sciences biomédicales et précliniques > Biochimie et physiologie générales, humaines et pathologiques
Equinet, Leila; Bio Logbook, 1 rue Julien Videment, 44200 Nantes, France. Electronic address: leila.equinet@biologbook.fr
THYS, Marie ; Centre Hospitalier Universitaire de Liège - CHU > > Service des informations médico économiques (SIME)
Moutschen, Michel ; Université de Liège - ULiège > GIGA > GIGA I3 - Immunology & Infectious Diseases
Lamy, Pierre-Jean; Biopathology and Genetics of Cancers, Institute of Medical Analysis IMAGENOME, INOVIE, 90 rue Nicolas Chedeville, 34075 Montpellier, France, Clinical Research Department, Clinique BeauSoleil, Aesio Santé Méditerranée, 149 Rue de la Taillade, 34070 Montpellier, France. Electronic address: pierre-jean.lamy@labosud.fr
Albert, Adelin ; Université de Liège - ULiège > Département des sciences de la santé publique
Language :
English
Title :
Use of hospital big data to optimize and personalize laboratory test interpretation with an application.
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