Evidence map›Paper›PMID 36430226›Full record

ArticleInternational journal of molecular sciences2022

Circulating Inflammatory Biomarkers in Early Prediction of Stroke-Associated Infections.

Isabel M C Hasse, Gerrit M Grosse, Ramona Schuppner, Till Van Gemmeren, Maria M Gabriel, Karin Weissenborn, Ralf Lichtinghagen, Hans Worthmann

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 25% 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, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
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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 1 institution in 1 country.

Isabel M C HasseDepartment of Neurology, Hannover Medical School, 30625 Hannover, Germany.
Gerrit M GrosseDepartment of Neurology, Hannover Medical School, 30625 Hannover, Germany.ORCID 0000-0002-5335-9880
Ramona SchuppnerDepartment of Neurology, Hannover Medical School, 30625 Hannover, Germany.
Till Van GemmerenDepartment of Neurology, Hannover Medical School, 30625 Hannover, Germany.
Maria M GabrielDepartment of Neurology, Hannover Medical School, 30625 Hannover, Germany.
Karin WeissenbornDepartment of Neurology, Hannover Medical School, 30625 Hannover, Germany.
Ralf LichtinghagenInstitute of Clinical Chemistry, Hannover Medical School, 30625 Hannover, Germany.
Hans WorthmannDepartment of Neurology, Hannover Medical School, 30625 Hannover, Germany.
Medizinische Hochschule Hannover · DE

Funding

Siemens Healthcare GmbH, Eschborn, Germany. n.a.
6 · The paper itself

Abstract

(1) Background: Patients with acute ischaemic stroke (AIS) are at high risk for stroke-associated infections (SAIs). We hypothesised that increased concentrations of systemic inflammation markers predict SAIs and unfavourable outcomes; (2) Methods: In 223 patients with AIS, blood samples were taken at ≤24 h, 3 d and 7d after a stroke, to determine IL-6, IL-10, CRP and LBP. The outcome was assessed using the modified Rankin Scale at 90 d. Patients were thoroughly examined regarding the development of SAIs; (3) Results: 47 patients developed SAIs, including 15 lower respiratory tract infections (LRTIs). IL-6 and LBP at 24 h differed, between patients with and without SAIs (IL-6: p < 0.001; LBP: p = 0.042). However, these associations could not be confirmed after adjustment for age, white blood cell count, reduced consciousness and NIHSS. When considering the subgroup of LRTIs, in patients who presented early (≤12 h after stroke, n = 139), IL-6 was independently associated with LRTIs (OR: 1.073, 95% CI: 1.002−1.148). The ROC-analysis for prediction of LRTIs showed an AUC of 0.918 for the combination of IL-6 and clinical factors; (4) Conclusions: Blood biomarkers were not predictive for total SAIs. At early stages, IL-6 was independently associated with outcome-relevant LRTIs. Further studies need to clarify the use of biochemical markers to identify patients prone to SAIs.

Indexed as

Brain IschemiaIschemic StrokeRespiratory Tract InfectionsStrokeBiomarkersHumansInflammationInterleukin-6BiomarkersInterleukin-6CRPIL-10IL-6infectioninflammationLBPoutcomepneumoniastroke

Identifiers

PMID36430226
PMCPMC9694763
OpenAlexW4308724063

What OpenQuestion holds

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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.