Evidence map›Paper›PMID 36275812›Full record

ArticleFrontiers in medicine2022

Biomarkers for differentiation of coronavirus disease 2019 or extracorporeal membrane oxygenation related inflammation and bacterial/fungal infections in critically ill patients: A prospective observational study.

Matthias Weiss-Tessbach, Franz Ratzinger, Markus Obermueller, Heinz Burgmann, Thomas Staudinger, Oliver Robak, Monika Schmid, Bernhard Roessler, Bernd Jilma, Manuel Kussmann and 1 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Matthias Weiss-TessbachDivision of Infectious Diseases and Tropical Medicine, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Franz RatzingerIhr Labor, Medical Diagnostics Laboratories, Vienna, Austria.
Markus ObermuellerDivision of Infectious Diseases and Tropical Medicine, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Heinz BurgmannDivision of Infectious Diseases and Tropical Medicine, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Thomas StaudingerDepartment of Medicine I, Intensive Care Unit 13i2, Medical University of Vienna, Vienna, Austria.
Oliver RobakDepartment of Medicine I, Intensive Care Unit 13i2, Medical University of Vienna, Vienna, Austria.
Monika SchmidDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Bernhard RoesslerDepartment of Anaesthesia, Intensive Care Medicine and Pain Medicine, Medical Simulation and Emergency Management Research Group, Medical University of Vienna, Vienna, Austria.
Bernd JilmaDepartment of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.
Manuel KussmannDivision of Infectious Diseases and Tropical Medicine, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Ludwig TrabyDivision of Infectious Diseases and Tropical Medicine, Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secondary infections in coronavirus disease 2019 (COVID-19) patients are difficult to distinguish from inflammation associated with COVID-19 and/or extracorporeal membrane oxygenation (ECMO). Therefore, highly specific and sensitive biomarkers are needed to identify patients in whom antimicrobial therapy can be safely withheld. In this prospective monocentric study, 66 COVID-19 patients admitted to the intensive care unit (ICU) for ECMO evaluation were included. A total of 46 (70%) patients with secondary infections were identified by using broad microbiological and virological panels and standardized diagnostic criteria. Various laboratory parameters including C-reactive protein (CRP), interleukin (IL)-6, procalcitonin (PCT), and IL-10 were determined at time of study inclusion. The best test performance for differentiating bacterial/fungal secondary infections and COVID-19 and/or ECMO associated inflammation was achieved by IL-10 (ROC-AUC 0.84) and a multivariant step-wise regression model including CRP, IL-6, PCT, and IL-10 (ROC-AUC 0.93). Data obtained in the present study highlights the use of IL-10 to differentiate secondary bacterial/fungal infections from COVID-19 and/or ECMO associated inflammation in severely ill COVID-19 patients.

Indexed as

co-infectiondiagnosis differentialextracorporeal membrane oxygenation (ECMO)intensive care unitinterleukin-10specificity and sensitivity

Identifiers

PMID36275812
PMCPMC9582266

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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.