Performance of an automated immature granulocyte count as a predictor of neonatal sepsis

Neonatologists use immature granulocytes (IG) in manual differential counts as an indicator of sepsis. This study was designed to compare the predictive ability of automated vs manual IG counts for neonatal sepsis. Infants undergoing sepsis evaluation were identified prospectively for study if a CBC...

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Bibliographic Details
Published in:American journal of clinical pathology 2005-04, Vol.123 (4), p.618-624
Main Authors: NIGRO, Kelly G, O'RIORDAN, Maryann, MOLLOY, Eleanor J, WALSH, Michele C, SANDHAUS, Linda M
Format: Article
Language:English
Subjects:
Autoanalysis
Biological and medical sciences
Cell Differentiation
Granulocytes - cytology
Granulocytes - pathology
Humans
Infant, Newborn
Investigative techniques, diagnostic techniques (general aspects)
Leukocyte Count - methods
Medical sciences
Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques
Reproducibility of Results
Sensitivity and Specificity
Sepsis - diagnosis
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Summary:Neonatologists use immature granulocytes (IG) in manual differential counts as an indicator of sepsis. This study was designed to compare the predictive ability of automated vs manual IG counts for neonatal sepsis. Infants undergoing sepsis evaluation were identified prospectively for study if a CBC count was obtained in temporal proximity to the blood culture. Automated IG counts were obtained from the research software of the Sysmex XE-2100 (Sysmex, Kobe, Japan). Manual average IG counts were obtained from two 100-cell manual differential counts independently performed by a technologist and a hematopathology resident. A comparative analysis of manual and automated IG counts showed considerable overlap of ranges. The highest positive blood culture rate occurred in the nonneutropenic preterm subset of infant older than 7 days (21/55 [38%]). For these infants, elevated IG counts by manual and automated methods were associated significantly with positive blood culture results (odds ratio, manual, 3.74; odds ratio, automated, 3.63), albeit with low sensitivity.
ISSN:0002-9173
1943-7722
DOI:10.1309/73H7K7UBW816PBJJ