Evidence map›Paper›PMID 36233375›Full record

ArticleJournal of clinical medicine2022

Automated Complete Blood Cell Count Using Sysmex XN-9000

Nils Wettin, Tim Drogies, Andreas Kühnapfel, Berend Isermann, Ulrich Herbert Thome

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Nils WettinUniversity Hospital for Anesthesiology, Martin Luther University of Halle-Wittenberg, Ernst-Grube-Straße 40, 06120 Halle, Germany.
Tim DrogiesInsitute for Clinical Chemistry, University Hospital, Paul List Straße 13-15, 04103 Leipzig, Germany.ORCID 0000-0003-3180-5816
Andreas KühnapfelInstitute for Medical Informatics, Statistics and Epidemiology, Medical Faculty of the University, Härtelstraße 16-18, 04107 Leipzig, Germany.ORCID 0000-0003-3668-0784
Berend IsermannInsitute for Clinical Chemistry, University Hospital, Paul List Straße 13-15, 04103 Leipzig, Germany.ORCID 0000-0003-0714-6160
Ulrich Herbert ThomeDivision of Neonatology, University Hospital for Children, Liebigstraße 20a, 04103 Leipzig, Germany.ORCID 0000-0003-3570-9418
University Hospital Leipzig · DEMartin Luther University Halle-Wittenberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The early identification of septically infected newborn infants is important for ensuring good outcomes. Blood cell differentiations are helpful, but they are often time consuming and inaccurate. In this study, we evaluated the use of automatic white blood cell differentiations by flow cytometry for the diagnosis of neonatal sepsis. Episodes of suspected infection in neonates were retrospectively classified into two groups, unlikely infection (UI, levels of Interleukin-6 < 400 pg/mL or CRP within 48 h < 10 mg/L), n = 101 and probable infection (PI, Interleukin-6 ≥ 400 pg/mL or CRP within 48 h ≥ 10 mg/L), n = 98. Complete blood cell counts were performed by Sysmex XN-9000® using flow cytometry. Relative and absolute proportions of immature granulocytes were evaluated. Unexpectedly, the absolute count of immature granulocytes was significantly lower in the group of PI compared to UI neonates. Similar results were found when analysing the relative proportion of immature granulocytes among all neutrophil granulocytes. On the other hand, manually counted immature to total (I/T) ratios of granulocytes were higher in PI than in UI infants. Therefore, we conclude that differentiations of granulocytes by Sysmex XN-9000® can be used to distinguish between infected and uninfected neonates if the results are interpreted according to our findings. A low count of immature granulocytes as determined by Sysmex XN-9000® may indicate neonatal infection.

Indexed as

complete blood cell countimmature granulocytesneonatal sepsisSysmex

Identifiers

PMID36233375
PMCPMC9571258
OpenAlexW4297877384

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.