Evidence map›Paper›PMID 35189826›Full record

ArticleBMC infectious diseases2022

High procalcitonin levels associated with increased intensive care unit admission and mortality in patients with a COVID-19 infection in the emergency department.

Kirby Tong-Minh, Yuri van der Does, Susanna Engelen, Evelien de Jong, Christian Ramakers, Diederik Gommers, Eric van Gorp, Henrik Endeman

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

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  5. Regulation of inflammatory lung injury and repair by transforming growth factors.American journal of physiology. Lung cellular and molecular physiology · 2025
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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

8 authors at 2 institutions in 1 country.

Kirby Tong-MinhDepartment of Emergency Medicine, Erasmus University Medical Center, Nc-017k, Postbus 2040, 3000 CA, Rotterdam, The Netherlands. k.tong-minh@erasmusmc.nl.ORCID http://orcid.org/0000-0002-8373-0011
Yuri van der DoesDepartment of Emergency Medicine, Erasmus University Medical Center, Nc-017k, Postbus 2040, 3000 CA, Rotterdam, The Netherlands.
Susanna EngelenDepartment of Emergency Medicine, Erasmus University Medical Center, Nc-017k, Postbus 2040, 3000 CA, Rotterdam, The Netherlands.
Evelien de JongDepartment of Intensive Care, Rode Kruis Ziekenhuis, Beverwijk, The Netherlands.
Christian RamakersDepartment of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, The Netherlands.
Diederik GommersDepartment of Intensive Care, Erasmus University Medical Center, Rotterdam, The Netherlands.
Eric van GorpDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
Henrik EndemanDepartment of Intensive Care, Erasmus University Medical Center, Rotterdam, The Netherlands.
Erasmus MC · NLRode Kruis Ziekenhuis · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with a severe COVID-19 infection often require admission at an intensive care unit (ICU) when they develop acute respiratory distress syndrome (ARDS). Hyperinflammation plays an important role in the development of ARDS in COVID-19. Procalcitonin (PCT) is a biomarker which may be a predictor of hyperinflammation. When patients with COVID-19 are in the emergency department (ED), elevated PCT levels could be associated with severe COVID-19 infections. The goal of this study is to investigate the association between PCT levels and severe COVID-19 infections in the ED.

methodsThis was a retrospective cohort study including patients with a confirmed COVID-19 infection who visited the ED of Erasmus Medical Center in Rotterdam, the Netherlands, between March and December 2020. The primary outcome was a severe COVID-19 infection, which was defined as patients who required ICU admission, all cause in-hospital mortality and mortality within 30 days after hospital discharge. PCT levels were measured during the ED visit. We used logistic regression to calculate the odds ratio (OR) with 95% confidence interval (95% CI) and corresponding area under the curve (AUC) of PCT on a severe COVID-19 infection, adjusting for bacterial coinfections, age, sex, comorbidities, C-reactive protein (CRP) and D-dimer.

resultsA total of 332 patients were included in the final analysis of this study, of which 105 patients reached the composite outcome of a severe COVID-19 infection. PCT showed an unadjusted OR of 4.19 (95%CI: 2.52-7.69) on a severe COVID-19 infection with an AUC of 0.82 (95% CI: 0.76-0.87). Corrected for bacterial coinfection, the OR of PCT was 4.05 (95% CI: 2.45-7.41). Adjusted for sex, bacterial coinfection, age any comorbidity, CRP and D-dimer, elevated PCT levels were still significantly associated with a severe COVID-19 infection with an adjusted OR of 2.11 (95% CI: 1.36-3.61). The AUC of this multivariable model was 0.85 (95%CI: 0.81-0.90).

conclusionHigh PCT levels are associated with high rates of severe COVID-19 infections in patients with a COVID-19 infection in the ED. The routine measurement of PCT in patients with a COVID-19 infection in the ED may assist physicians in the clinical decision making process regarding ICU disposition.

Indexed as

COVID-19ProcalcitoninBiomarkersC-Reactive ProteinEmergency Service, HospitalHumansIntensive Care UnitsPrognosisRetrospective StudiesSARS-CoV-2BiomarkersC-Reactive ProteinProcalcitoninBiomarkersCOVID-19Emergency departmentProcalcitonin

Identifiers

PMID35189826
PMCPMC8860271
OpenAlexW4213283705

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.