Evidence map›Paper›PMID 36631778›Full record

ArticleBMC infectious diseases2023

Predictive markers related to local and systemic inflammation in severe COVID-19-associated ARDS: a prospective single-center analysis.

Jan Nikolaus Lieberum, Sandra Kaiser, Johannes Kalbhenn, Hartmut Bürkle, Nils Schallner

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Observational
  2. Article
  3. Observational
  4. Review
  5. Research progress on the pathogenesis of AKI complicated by ECMO.Clinical and experimental nephrology · 2025
    Review
  6. Review
  7. Observational
  8. Discovery, validation, and prodrug design of an ACE2 activator for treating bacterial infection-induced lung inflammation.Journal of controlled release : official journal of the Controlled Release Society · 2023
    Article
  9. 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

5 authors at 2 institutions in 1 country.

Jan Nikolaus LieberumDepartment of Anesthesiology and Critical Care Medicine, Medical Center, University of Freiburg, Freiburg, Germany. jan.lieberum@uniklinik-freiburg.de.
Sandra KaiserDepartment of Anesthesiology and Critical Care Medicine, Medical Center, University of Freiburg, Freiburg, Germany.
Johannes KalbhennDepartment of Anesthesiology and Critical Care Medicine, Medical Center, University of Freiburg, Freiburg, Germany.
Hartmut BürkleDepartment of Anesthesiology and Critical Care Medicine, Medical Center, University of Freiburg, Freiburg, Germany.
Nils SchallnerDepartment of Anesthesiology and Critical Care Medicine, Medical Center, University of Freiburg, Freiburg, Germany.
University of Freiburg · DEUniversity Medical Center Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the COVID-19 pandemic strains healthcare systems worldwide, finding predictive markers of severe courses remains urgent. Most research so far was limited to selective questions hindering general assumptions for short- and long-term outcome.

methodsIn this prospective single-center biomarker study, 47 blood- and 21 bronchoalveolar lavage (BAL) samples were collected from 47 COVID-19 intensive care unit (ICU) patients upon admission. Expression of inflammatory markers toll-like receptor 3 (TLR3), heme oxygenase-1 (HO-1), interleukin (IL)-6, IL-8, leukocyte counts, procalcitonin (PCT) and carboxyhemoglobin (CO-Hb) was compared to clinical course. Clinical assessment comprised acute local organ damage, acute systemic damage, mortality and outcome after 6 months.

resultsPCT correlated with acute systemic damage and was the best predictor for quality of life (QoL) after 6 months (r = - 0.4647, p = 0.0338). Systemic TLR3 negatively correlated with impaired lung function (ECMO/ECLS: r = - 0.3810, p = 0.0107) and neurological short- (RASS mean: r = 0.4474, p = 0.0023) and long-term outcome (mRS after 6 m: r = - 0.3184, p = 0.0352). Systemic IL-8 correlated with impaired lung function (ECMO/ECLS: r = 0.3784, p = 0.0161) and neurological involvement (RASS mean: r = - 0.5132, p = 0.0007). IL-6 in BAL correlated better to the clinical course than systemic IL-6. Using three multivariate regression models, we describe prediction models for local and systemic damage as well as QoL. CO-Hb mean and max were associated with higher mortality.

conclusionsOur predictive models using the combination of Charlson Comorbidity Index, sex, procalcitonin, systemic TLR3 expression and IL-6 and IL-8 in BAL were able to describe a broad range of clinically relevant outcomes in patients with severe COVID-19-associated ARDS. Using these models might proof useful in risk stratification and predicting disease course in the future. Trial registration The trial was registered with the German Clinical Trials Register (Trial-ID DRKS00021522, registered 22/04/2020).

Indexed as

COVID-19Respiratory Distress SyndromeDisease ProgressionHumansInflammationInterleukin-6Interleukin-8PandemicsProcalcitoninProspective StudiesQuality of LifeToll-Like Receptor 3Interleukin-6Interleukin-8ProcalcitoninToll-Like Receptor 3BALCarboxyhemoglobinCOVID-19ICUIL-6IL-8Outcome assessmentQuality of LifeTLR3

Identifiers

PMID36631778
PMCPMC9832419
OpenAlexW4315567866

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.