Evidence map›Paper›PMID 40262959›Full record

Observational studyBMJ open2025

C-reactive protein in the first 30 postoperative days and its discriminative value as a marker for postoperative infections, a multicentre cohort study.

Anna Marthe van Boekel, Siri Lise van der Meijden, Bart F Geerts, Harry van Goor, Nan van Geloven, Mendi S Arbous, Mark G J de Boer, PERISCOPE Study Group

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Review
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

8 authors.

Anna Marthe van BoekelIntensive Care, Leiden Universitair Medisch Centrum, Leiden, The Netherlands a.m.van_boekel@lumc.nl.ORCID http://orcid.org/0000-0003-0774-0995
Siri Lise van der MeijdenIntensive Care, Leiden Universitair Medisch Centrum, Leiden, The Netherlands.
Bart F GeertsHealthplus.ai B.V, Amsterdam, The Netherlands.
Harry van GoorSurgery, Radboud University Medical Center, Nijmegen, The Netherlands.
Nan van GelovenBiomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-5600-9093
Mendi S ArbousIntensive Care, Leiden Universitair Medisch Centrum, Leiden, The Netherlands.
Mark G J de BoerEpidemiology, Leiden University Medical Center, Leiden, The Netherlands.
PERISCOPE Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the association of C-reactive protein (CRP) with postoperative infections for eight different types of surgery using big data.

designA multicentre cohort study with longitudinally collected data from electronic health records, collected from 1 January 2011 to 22 September 2023.

settingData of two tertiary medical centres in the Netherlands were used.

participantsThis study included all procedures (42 125 in total) in adult patients undergoing surgery in two tertiary medical centres in the Netherlands. OUTCOME MEASURES: The primary outcome was the association between CRP and a postoperative infection in the first 30 days postoperatively. Postoperative infection was defined by an action-based definition, that is, patients had to be treated for an infection with anti-microbial treatment and/or an intervention (eg, surgical drainage) to be classified as having a postoperative infection. CRP measurements were divided into a reference group (0-5.0 mg/dL) and four groups for comparison (5.1-10.0 mg/dL, 10.1-15.0 mg/dL, 15.1-20.0 mg/dL and >20.0 mg/dL). Subgroup analyses were performed for eight major surgical subspecialties and for the two medical centres separately.

resultsA total of 175,779 CRP measurements were performed, of which the majority was drawn in the first postoperative week. The ORs for developing a postoperative infection varied between 1.0 (0.9-1.1 95% CI) and 12.0 (9.5-15.1 95% CI), with a stronger association for the higher level of CRP categories and when more time had elapsed since surgery. Sensitivity ranged between 11% and 34%, specificity ranged between 64 and 95%, and the positive and negative predicting value ranged between 12% and 51% and 88% and 94%, respectively. For the surgical subspecialties and the two hospitals separately, similar results were found.

conclusionIn this study, an elevated postoperative CRP was associated with postoperative infections with a stronger association for higher CRP levels. The association was stronger if a longer time had elapsed since surgery, which contrasts with the moment most CRP measurements were done, namely in the first postoperative week. Clinicians should take the evolving value of CRP in mind when using it in the diagnosis of postoperative infections.

Indexed as

C-Reactive ProteinPostoperative ComplicationsSurgical Wound InfectionAdultAgedBiomarkersCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedNetherlandsPostoperative PeriodBiomarkersC-Reactive ProteinAdult surgeryClinical Decision-MakingMolecular diagnosticsObservational Study

Identifiers

PMID40262959
PMCPMC12015726

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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.