Evidence map›Paper›PMID 40598497›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2025

Human neutrophil lipocalin, procalcitonin, c-reactive protein, and leucocyte count for prediction of bacterial sepsis in emergency department patients.

Jonathan Benhamou, Ricardo Nieves-Ortega, Christian H Nickel, Alina Lampart, Tobias Kuster, Gianmarco M Balestra, Christiane Rosin, Christoph Becker, Kriemhild Lippay, Roland Bingisser

Abstract read
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 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. Article
  2. Article
  3. Review
  4. 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

10 authors.

Jonathan Benhamou *Emergency Department, University Hospital Basel, Petersgraben 2, Basel, 4031, Switzerland.
Ricardo Nieves-Ortega *Emergency Department, University Hospital Basel, Petersgraben 2, Basel, 4031, Switzerland.
Christian H NickelEmergency Department, University Hospital Basel, Petersgraben 2, Basel, 4031, Switzerland.
Alina LampartEmergency Department, University Hospital Basel, Petersgraben 2, Basel, 4031, Switzerland.
Tobias KusterEmergency Department, University Hospital Basel, Petersgraben 2, Basel, 4031, Switzerland.
Gianmarco M BalestraDepartment of Intensive Care, University Hospital Basel, Petersgraben 4, Basel, 4031, Switzerland.
Christiane RosinEmergency Department, University Hospital Basel, Petersgraben 2, Basel, 4031, Switzerland.
Christoph BeckerEmergency Department, University Hospital Basel, Petersgraben 2, Basel, 4031, Switzerland.
Kriemhild LippayEmergency Department, University Hospital Basel, Petersgraben 2, Basel, 4031, Switzerland.
Roland BingisserEmergency Department, University Hospital Basel, Petersgraben 2, Basel, 4031, Switzerland. roland.bingisser@usb.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelayed identification of bacterial sepsis undermines the initiation of antibiotic and other time-sensitive treatments in the emergency department (ED). We aimed to investigate the performance of human-neutrophil lipocalin (HNL), procalcitonin (PCT), C-reactive protein (CRP), and leucocyte count in conjunction with clinical scores for the early prediction of bacterial sepsis.

methodsPatients presenting to the emergency department (ED) with a suspected infection and a national early warning score (NEWS) ≥ 2 at triage were screened for eligibility. The study biomarkers were measured at ED presentation. The primary outcome was bacterial sepsis, defined as an acute bacterial infection and an increase of ≥ 2 points in the sequential organ failure assessment (SOFA) score (Sepsis-3 criteria). The diagnostic accuracy of the biomarkers for bacterial sepsis was calculated using receiver operating curve (ROC) analysis and its area under the curve (AUC) with 95% confidence intervals (CI).

resultsIn total, we included 421 patients, of whom 155 (36.8%) had bacterial sepsis. For the prediction of bacterial sepsis, PCT outperformed the other biomarkers with an AUC (95% CI) of 0.77 (0.72-0.82), compared to HNL 0.72 (0.67-0.77), CRP 0.71 (0.66-0.76), and leucocyte count 0.64 (0.59-0.70). A combination of serum HNL with NEWS and SOFA at presentation had the best predictive value for bacterial sepsis at 48 h after ED presentation (AUC 0.83).

conclusionOur findings do not support the routine use of serum HNL as a tool in the prediction of bacterial sepsis in patients presenting to the ED. A combination of biomarkers (serum HNL or CRP plus leucocytes) with NEWS and SOFA at presentation outperformed inflammatory biomarkers used individually in the prediction of bacterial sepsis.

Indexed as

Bacterial InfectionsC-Reactive ProteinEmergency Service, HospitalLipocalin-2ProcalcitoninSepsisAgedBiomarkersFemaleHumansLeukocyte CountMaleMiddle AgedPredictive Value of TestsProspective StudiesROC CurveBiomarkersC-Reactive ProteinLipocalin-2ProcalcitoninBacterial sepsisBiomarkersC-reactive proteinEmergency medicineHuman neutrophil LipocalinProcalcitonin

Identifiers

PMID40598497
PMCPMC12210756

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.