Evidence map›Paper›PMID 42382714›Full record

ArticleIntensive care medicine. Paediatric and neonatal2026

Development and validation of a diagnostic model for late-onset neonatal sepsis using the haematological profile: a retrospective cohort study.

Emily Hyde, Janno Schouten, Jarob Saker, H R Taal, H Russcher, Eliane Wenstedt, Stephen Kennedy, Manu Vatish, Mark Anthony

Abstract read
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Article in Intensive care medicine. Paediatric and neonatal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Emily HydeNuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, OX3 9DU UK.ORCID 0000-0002-7570-9933
Janno SchoutenDivision of Neonatology, Department of Neonatal and Paediatric Intensive Care, Erasmus University Medical Center, Rotterdam, The Netherlands.
Jarob SakerMedical Scientific Department, Sysmex Europe, Norderstedt, Germany.
H R TaalDivision of Neonatology, Department of Neonatal and Paediatric Intensive Care, Erasmus University Medical Center, Rotterdam, The Netherlands.
H RusscherDepartment of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, The Netherlands.
Eliane WenstedtDepartment of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, The Netherlands.
Stephen KennedyNuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, OX3 9DU UK.
Manu Vatish *Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, OX3 9DU UK.
Mark Anthony *Neonatal Intensive Care Unit, Department of Paediatrics, Oxford University Hospitals NHS Trust, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Neonates admitted to intensive care units are at high risk of hospital-acquired infections. While blood cultures remain the gold standard for sepsis diagnosis, they do not detect infection in every case. Host immune response markers, such as C-reactive protein and procalcitonin, can assist in earlier detection but also have limitations and carry additional costs. We have developed a Neonatal Intensive Care Infection Score (NICIS), which leverages extended complete blood count (CBC+Diff + EIP) parameters, which may require specific analyser configuration or software licensing, to extract additional diagnostic value. Methods: We conducted a retrospective cohort study of neonates admitted to the Neonatal Intensive Care Unit at the John Radcliffe Hospital (Oxford, UK) over one year. Eighteen CBC+Diff + EIP parameters were initially considered based on their ability to differentiate culture-positive patients from those without clinical suspicion of infection. NICIS was developed as a weighted score and validated internally using a temporally distinct dataset and externally using a four-year retrospective cohort from Erasmus University Medical Center (Rotterdam, The Netherlands). Results: Incorporating eight CBC+Diff + EIP parameters, NICIS values ranged from 0 to 25, with higher scores indicating a greater likelihood of sepsis. NICIS achieved an area under the curve of 0.906 in training, 0.879 in internal validation, and 0.841 in external validation, outperforming C-reactive protein and total white blood cell count in all datasets. Conclusions: NICIS provides an interpretable tool for sepsis detection using routinely collected CBC+Diff + EIP data without additional sampling. Its performance across internal and external cohorts suggests sufficient diagnostic accuracy, although prospective studies are warranted to further assess generalisability and clinical utility. Supplementary Information: The online version contains supplementary material available at 10.1007/s44253-026-00121-9.

Indexed as

Blood cell countHaematologyNeonatal sepsisRapid diagnostic tests

Identifiers

PMID42382714
PMCPMC13314925

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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.