Evidence map›Paper›PMID 42149358›Full record

ArticleInfection2026

How infection affects the relationship between leukocyte count and mortality risk in intensive care.

Deirdre M Horan, Tess Evans, Michael Bailey, Edward Litton, Manoj K Saxena, David V Pilcher

Abstract read
In one paragraph

Article in Infection, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Deirdre M HoranRoyal Perth Hospital and Fiona Stanley Hospital, Perth, WA, Australia.
Tess EvansRoyal Melbourne Hospital, Parkville, VIC, Australia.ORCID https://orcid.org/0000-0001-7764-4363
Michael BaileyAustralian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0002-5551-1401
Edward LittonFiona Stanley Hospital, Murdoch, WA, Australia.ORCID https://orcid.org/0000-0002-5125-6829
Manoj K SaxenaSt George Hospital, Kogarah, NSW, Australia.ORCID https://orcid.org/0000-0002-0385-6731
David V PilcherThe Alfred Hospital, Monash University, and Australia and Zealand Intensive Care Society Centre for Outcome and Resource Evaluation, Prahran, VIC, Australia. D.Pilcher@alfred.org.au.ORCID https://orcid.org/0000-0002-8939-7985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLeukocyte count is widely available and included in Intensive Care Unit prognostic systems. We hypothesised that the relationship between leukocytosis and mortality risk might differ in critically ill patients admitted with infection, where leukocytosis may be an adaptive response.

methodsWe performed a registry-based study using the Australian and New Zealand Intensive Care Society Adult Patient Database between 2010 and 2023, across 212 Intensive Care Units. Using descriptive statistics and mixed-effects multivariable logistic regression, we evaluated the association between early peak leukocyte count and mortality, according to whether infection was the primary diagnosis.

resultsWe examined 2,016,578 patients, of whom 1,742,195 had non-infective illnesses (86.4%). In this group, there were 115,613 (6.6%) deaths, and a progressive increase in the adjusted odds of mortality as leukocyte counts increased above 8 × 10

conclusionThe presence of infection determines the prognostic significance of leukocytosis in the critically ill.

Indexed as

Critical CareInfectionsLeukocytosisAdultAgedAustraliaCritical IllnessFemaleHumansIntensive Care UnitsLeukocyte CountMaleMiddle AgedNew ZealandRisk FactorsCritical illnessInfectionLeukocyte (white cell)MortalitySepsisSequential organ failure assessment (SOFA)

Identifiers

PMID42149358
PMCPMC13476357

What OpenQuestion holds

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Registered trials

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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.