Evidence map›Paper›PMID 38599549›Full record

ArticleThe Journal of infection2024

Distinct patterns of vital sign and inflammatory marker responses in adults with suspected bloodstream infection.

Qingze Gu, Jia Wei, Chang Ho Yoon, Kevin Yuan, Nicola Jones, Andrew Brent, Martin Llewelyn, Tim E A Peto, Koen B Pouwels, David W Eyre and 1 more

Open access · goldAbstract read
In one paragraph

Article in The Journal of infection, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  4. Longitudinal SOFA score trajectories and risk stratification in ICU patients withFrontiers in cellular and infection microbiology · 2026
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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

11 authors at 5 institutions in 1 country.

Qingze GuNuffield Department of Medicine, University of Oxford, Oxford, UK.
Jia WeiNuffield Department of Medicine, University of Oxford, Oxford, UK.
Chang Ho YoonBig Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Kevin YuanBig Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Nicola JonesOxford University Hospitals NHS Foundation Trust, Oxford, UK.
Andrew BrentOxford University Hospitals NHS Foundation Trust, Oxford, UK.
Martin LlewelynBrighton and Sussex Medical School, Brighton, UK.
Tim E A PetoNuffield Department of Medicine, University of Oxford, Oxford, UK; Oxford University Hospitals NHS Foundation Trust, Oxford, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK.
Koen B PouwelsHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK.
David W EyreBig Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Oxford University Hospitals NHS Foundation Trust, Oxford, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK.
A Sarah WalkerNuffield Department of Medicine, University of Oxford, Oxford, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK. Electronic address: sarah.walker@ndm.ox.ac.uk.
University of Oxford · GBOpen Data Institute · GBOxford Health NHS Foundation Trust · GBOxford University Hospitals NHS Trust · GBBrighton and Sussex Medical School · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify patterns in inflammatory marker and vital sign responses in adult with suspected bloodstream infection (BSI) and define expected trends in normal recovery.

methodsWe included patients ≥16 y from Oxford University Hospitals with a blood culture taken between 1-January-2016 and 28-June-2021. We used linear and latent class mixed models to estimate trajectories in C-reactive protein (CRP), white blood count, heart rate, respiratory rate and temperature and identify CRP response subgroups. Centile charts for expected CRP responses were constructed via the lambda-mu-sigma method.

resultsIn 88,348 suspected BSI episodes; 6908 (7.8%) were culture-positive with a probable pathogen, 4309 (4.9%) contained potential contaminants, and 77,131(87.3%) were culture-negative. CRP levels generally peaked 1-2 days after blood culture collection, with varying responses for different pathogens and infection sources (p < 0.0001). We identified five CRP trajectory subgroups: peak on day 1 (36,091; 46.3%) or 2 (4529; 5.8%), slow recovery (10,666; 13.7%), peak on day 6 (743; 1.0%), and low response (25,928; 33.3%). Centile reference charts tracking normal responses were constructed from those peaking on day 1/2.

conclusionsCRP and other infection response markers rise and recover differently depending on clinical syndrome and pathogen involved. However, centile reference charts, that account for these differences, can be used to track if patients are recovering line as expected and to help personalise infection.

Indexed as

BiomarkersC-Reactive ProteinVital SignsAdolescentAdultAgedAged, 80 and overBacteremiaBlood CultureBody TemperatureFemaleHeart RateHumansInflammationLeukocyte CountMaleBiomarkersC-Reactive ProteinBloodstream infectionCentile chartC-reactive proteinTrajectory subgroupsVital signs

Identifiers

PMID38599549
PMCPMC11893474
OpenAlexW4394580037

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.