Use of hospital big data to optimize and personalize laboratory test interpretation with an application.

Autor: Boutin R; Bio Logbook, 1 rue Julien Videment, 44200 Nantes, France. Electronic address: ronan.boutin@biologbook.fr., Rolland J; 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 M; Bio Logbook, 1 rue Julien Videment, 44200 Nantes, France. Electronic address: marie.codet@biologbook.fr., Bézier C; 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 N; Biostatistics and Medico-economic Information Department, University Hospital of Liege, Avenue de l'Hôpital 1, 4000 Liège, Belgium. Electronic address: nmaes@chuliege.be., Kolh P; Department of Information Systems Management, University Hospital of Liege, Avenue de l'Hôpital 1, 4000 Liège, Belgium. Electronic address: philippe.kolh@chuliege.be., Equinet L; Bio Logbook, 1 rue Julien Videment, 44200 Nantes, France. Electronic address: leila.equinet@biologbook.fr., Thys M; Use of medico-economic data, University Hospital of Liege, Avenue de l'Hôpital 1, 4000 Liège, Belgium. Electronic address: mthys@chuliege.be., Moutschen M; Infectious Diseases Department, University Hospital of Liege, Avenue de l'Hôpital 1, 4000 Liège, Belgium. Electronic address: mmoutschen@chuliege.be., Lamy PJ; 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 A; Biostatistics and Medico-economic Information Department, University Hospital of Liege, Avenue de l'Hôpital 1, 4000 Liège, Belgium; Public Health Department, University of Liege, Avenue de l'Hôpital 1, 4000 Liège, Belgium. Electronic address: aalbert@uliege.be.
Jazyk: angličtina
Zdroj: Clinica chimica acta; international journal of clinical chemistry [Clin Chim Acta] 2024 Jul 15; Vol. 561, pp. 119763. Date of Electronic Publication: 2024 Jun 06.
DOI: 10.1016/j.cca.2024.119763
Abstrakt: 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 × 10 9 /L], notably reduced (27.2 %) compared to conventional reference values [150-400 × 10 9 /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.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 BIO LOGBOOK. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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