Indirectly determined reference intervals for automated white blood cell differentials of pediatric patients in Berlin and Brandenburg.

data mining differential blood count hematology indirect reference interval indirect reference range pediatric white blood cell differential

Journal

Clinical chemistry and laboratory medicine
ISSN: 1437-4331
Titre abrégé: Clin Chem Lab Med
Pays: Germany
ID NLM: 9806306

Informations de publication

Date de publication:
25 05 2023
Historique:
received: 09 11 2022
accepted: 12 01 2023
medline: 24 4 2023
pubmed: 21 1 2023
entrez: 20 1 2023
Statut: epublish

Résumé

Establishing direct reference intervals for pediatric patients is a costly, challenging, and time-consuming enterprise. Indirectly established reference intervals can help to ameliorate this situation. It was our objective to establish population-specific reference intervals for automated white blood cell differentials via data mining and non-parametric percentile method. Blood counts and automated white blood cell differentials of patients aged 0 days to 18 years, performed from the 1st of January 2018 until the 30th of June 2022, were identified in our laboratory information system. Reference intervals were established in accordance with IFCC and CLSI recommendations as well as the propositions by Haeckel et al. Initially, 47,173 blood counts on our SYSMEX XN-9000 were identified. 11,707 data sets were excluded, leaving 35,466 sample sets for analysis. Of these, 17,616 contained automated white blood cell differentials. Due to insufficient patient numbers, no reference intervals for automated white blood cell differentials could be established for children aged <7 months. In comparison to the corresponding reference intervals published by Herklotz et al., reference intervals determined by us showed relevant differences throughout all age groups. The combination of non-parametric percentile method and the propositions by Haeckel et al. utilizing conscientious data mining appears to be potent alternative to direct reference interval determination.

Identifiants

pubmed: 36669090
pii: cclm-2022-1265
doi: 10.1515/cclm-2022-1265
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1116-1122

Informations de copyright

© 2023 Walter de Gruyter GmbH, Berlin/Boston.

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Auteurs

Ingo Mrosewski (I)

Department of Laboratory Medicine, MDI Limbach Berlin GmbH, Berlin, Berlin, Germany.

Tobias Dähn (T)

Department of Laboratory Medicine, MDI Limbach Berlin GmbH, Berlin, Berlin, Germany.

Jörg Hehde (J)

Department of Laboratory Medicine, MDI Limbach Berlin GmbH, Berlin, Berlin, Germany.

Elena Kalinowski (E)

Department of Laboratory Medicine, MDI Limbach Berlin GmbH, Berlin, Berlin, Germany.

Ilona Lindner (I)

Department of Laboratory Medicine, MDI Limbach Berlin GmbH, Berlin, Berlin, Germany.

Thea Maria Meyer (TM)

Department of Laboratory Medicine, MDI Limbach Berlin GmbH, Berlin, Berlin, Germany.

Michael Olschinsky-Szermer (M)

Department of Laboratory Medicine, MDI Limbach Berlin GmbH, Berlin, Berlin, Germany.

Jana Pahl (J)

Department of Laboratory Medicine, MDI Limbach Berlin GmbH, Berlin, Berlin, Germany.

Monika Puls (M)

Department of Laboratory Medicine, MDI Limbach Berlin GmbH, Berlin, Berlin, Germany.

Kristin Sachse (K)

Department of Laboratory Medicine, MDI Limbach Berlin GmbH, Berlin, Berlin, Germany.

Rafael Switkowski (R)

Department of Laboratory Medicine, MDI Limbach Berlin GmbH, Berlin, Berlin, Germany.

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