Evidence map›Paper›PMID 40319280›Full record

ArticleBMC infectious diseases2025

The burden of nosocomial superinfections in a retrospective cohort study of critically ill COVID-19 patients.

Anne Kathrin Lösslein, Paulina Ines Staus, Cynthia Beisert Carneiro, Martin Wolkewitz, Georg Häcker

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

5 authors.

Anne Kathrin Lösslein *Institute of Medical Microbiology and Hygiene, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany. anne.loesslein@uniklinik-freiburg.de.ORCID http://orcid.org/0000-0002-0570-5902
Paulina Ines Staus *Institute of Medical Biometry and Statistics, Division Methods in Clinical Epidemiology, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0003-0792-9229
Cynthia Beisert CarneiroInstitute of Medical Microbiology and Hygiene, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Martin Wolkewitz *Institute of Medical Biometry and Statistics, Division Methods in Clinical Epidemiology, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0002-1268-5057
Georg Häcker *Institute of Medical Microbiology and Hygiene, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0003-1058-5746

Funding

German Federal Ministry of Education and Research (BMBF) Network of University Medicine 2.0: "NUM 2.0" No. 01KX2121, Project: Collateral Effects of Pandemics - CollPanIMM-PACT-Programme for Clinician Scientists, Department of Medicine II, Medical Center - University of Freiburg and Faculty of Medicine, University of Freiburg, funded by the Deutsche Forschungsgemeinschaft (German Research Foundation) 413517907
6 · The paper itself

Abstract

objectivesViral respiratory infections can be complicated by bacterial superinfections. SARS-CoV-2 patients may suffer from superinfections, and negative effects of additional infections have been identified. When analysing hospital data, patients typically leave the facility of observation, due to discharge or death, which leads to changes in the study cohort over time. This may distort the estimate of the impact of superinfection. Therefore, it is essential for the statistical analysis of hospital data to acknowledge this change of the risk set over time. We analysed superinfections in a retrospective cohort study with 268 critically ill patients, taking into account discharge and death as competing risks in the statistical analysis.

methodsWe evaluated bacterial respiratory infections and bloodstream infections and used multi-state statistical modelling to account for the different patient states. We calculated risks of superinfection, probability of discharge or death over time and analysed subgroups according to age and sex.

resultsThe observed pathogen spectrum was mainly composed of Enterobacterales, Nonfermenters but also Staphylococcus aureus. We identified an elevated mortality due to bacterial infection of the respiratory tract or bloodstream infection (adj. cause-specific HR 1.7, CI 1.15-2.52) as well as a reduced discharge rate (adj. cause-specific HR 0.51, CI 0.36-0.73). Female patients showed a tendency to have a reduced risk of acquiring a superinfection (adj. subdistribution HR 0.71, CI 0.48-1.04), and in case of infection a higher mortality compared to male patients (interaction effect HR 1.49, CI 0.67-3.30).

conclusionsThe study accounts for competing risks and quantifies the risk of death associated with bacterial superinfection in critically ill COVID-19 patients. We observed an increased risk of death for patients who developed a superinfection, with Enterobacterales being the predominant agent. The results emphasize the need for microbiological sampling in SARS-CoV-2-infected patients. CLINICAL TRIAL NUMBER: German Clinical Trials Register number: DRKS00031367, registration date: 01.03.2023 ( https://drks.de/search/de/trial/DRKS00031367 ).

Indexed as

COVID-19Cross InfectionSuperinfectionAdultAgedAged, 80 and overBacterial InfectionsCritical IllnessFemaleHumansMaleMiddle AgedRespiratory Tract InfectionsRetrospective StudiesRisk FactorsSARS-CoV-2Competing risksCOVID-19Healthcare associated infectionsHospital mortalityIntensive care unitLength of staySuperinfections

Identifiers

PMID40319280
PMCPMC12049767

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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.