Literature DB >> 24451038

Adult and child automated immature granulocyte norms are inappropriate for evaluating early-onset sepsis in newborns.

Emily L Wiland1, Linda M Sandhaus, Zhanna Georgievskaya, Claudia M Hoyen, Mary Ann O'Riordan, Mary L Nock.   

Abstract

AIM: Automated haematology analysers are increasingly being used. Normal ranges for automated immature granulocyte counts (IG%) are described in adults and children as <1%, but are not reported for newborns, who often have complete blood count with differential in evaluation for early-onset sepsis. Therefore, this study aimed to describe IG% during the first 48 hours of life (HOL) in newborns and determine the clinical factors affecting IG%.
METHODS: We carried out retrospective chart reviews for newborns ≥35 weeks gestational age with one or more complete blood count with differential in the first 48 HOL. Clinical history and automated haematology results were reviewed.
RESULTS: Forty-seven of 215 subjects had two or more complete blood counts within 48 h. In the first 48 HOL, IG% ranged from 0 to 8.4% (95th percentile 5.2%). At <12 h, 70% of samples had IG% >1%. IG% appears to decrease over time. Earlier hour of life and higher birth weight were independently associated with higher IG%.
CONCLUSION: Immature granulocyte counts in newborns appeared to be higher than reported for other age groups. Use of adult and child norms for IG% would not be appropriate for newborns being evaluated for early-onset sepsis. ©2014 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Immature granulocyte; Left shift; Leucocyte differential; Newborn; Sysmex XE-5000

Mesh:

Substances:

Year:  2014        PMID: 24451038     DOI: 10.1111/apa.12563

Source DB:  PubMed          Journal:  Acta Paediatr        ISSN: 0803-5253            Impact factor:   2.299


  2 in total

1.  Comparing automated vs manual leukocyte differential counts for quantifying the 'left shift' in the blood of neonates.

Authors:  B C MacQueen; R D Christensen; B A Yoder; E Henry; V L Baer; S T Bennett; H M Yaish
Journal:  J Perinatol       Date:  2016-06-09       Impact factor: 2.521

2.  Immature granulocyte percentage for prediction of sepsis in severe burn patients: a machine leaning-based approach.

Authors:  Kibum Jeon; Nuri Lee; Seri Jeong; Min-Jeong Park; Wonkeun Song
Journal:  BMC Infect Dis       Date:  2021-12-16       Impact factor: 3.090

  2 in total

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