Evidence map›Paper›PMID 34471146›Full record

ArticleScientific reports2021

Soluble urokinase plasminogen activator receptor (suPAR) predicts critical illness and kidney failure in patients admitted to the intensive care unit.

Alexander C Reisinger, Tobias Niedrist, Florian Posch, Stefan Hatzl, Gerald Hackl, Juergen Prattes, Gernot Schilcher, Anna-Maria Meißl, Reinhard B Raggam, Markus Herrmann and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Observational
  7. Article
  8. Review
  9. The Perspective of Vitamin D on suPAR-Related AKI in COVID-19.International journal of molecular sciences · 2022
    Review
  10. Observational
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 at 1 institution in 1 country.

Alexander C ReisingerDepartment of Internal Medicine, Intensive Care Unit, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria.ORCID http://orcid.org/0000-0002-5773-5695
Tobias NiedristClinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.
Florian PoschDepartment of Internal Medicine, Division of Oncology, Medical University of Graz, Graz, Austria.
Stefan HatzlDepartment of Internal Medicine, Intensive Care Unit, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria.
Gerald HacklDepartment of Internal Medicine, Intensive Care Unit, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria.
Juergen PrattesDepartment of Internal Medicine, Section of Infectious Diseases and Tropical Medicine, Medical University of Graz, Graz, Austria.ORCID http://orcid.org/0000-0001-5751-9311
Gernot SchilcherDepartment of Internal Medicine, Intensive Care Unit, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria.
Anna-Maria MeißlDepartment of Internal Medicine, Division of Nephrology, Medical University of Graz, Graz, Austria.
Reinhard B RaggamDepartment of Internal Medicine, Division of Angiology, Medical University of Graz, Graz, Austria.
Markus HerrmannClinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.
Philipp EllerDepartment of Internal Medicine, Intensive Care Unit, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria. philipp.eller@medunigraz.at.
Medical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soluble urokinase plasminogen activator receptor (suPAR) is an inflammatory biomarker and risk factor for kidney diseases, with a potential prognostic value in critically ill patients. In this monocentric prospective study, we measured plasma suPAR levels immediately after ICU admission in unselected 237 consecutive patients using a turbidimetric assay. Primary objective was the prognostic value for ICU- and 28-day mortality. Secondary objectives were association with sequential organ failure assessment (SOFA) score, coagulation and inflammation markers, AKI-3 and differences in prespecified subgroups. Median suPAR levels were 8.0 ng/mL [25th-75th percentile 4.3-14.4], with lower levels in ICU survivors than non-survivors (6.7 vs. 11.6 ng/mL, p < 0.001). SuPAR levels were higher in COVID-19, kidney disease, moderate-to-severe liver disease, and sepsis. ICU mortality increased by an odds ratio (OR) of 4.7 in patients with the highest compared to lowest quartile suPAR. Kaplan-Meier overall survival estimates at 3 months were 63% and 49%, in patients with suPAR below/above 12 ng/mL (log-rank p = 0.027). Due to an observed interaction between SOFA score and suPAR, we performed a random forest method identifying cutoffs. ICU mortality was 53%, 17% and 2% in patients with a SOFA score > 7, SOFA ≤ 7 & suPAR > 8 ng/mL, and SOFA score ≤ 7 & suPAR ≤ 8 ng/mL, respectively. suPAR was a significant predictor for AKI-3 occurrence (OR per doubling 1.89, 95% CI: 1.20-2.98; p = 0.006). suPAR levels at ICU admission may offer additional value for risk stratification especially in ICU patients with moderate organ dysfunction as reflected by a SOFA score ≤ 7.

Indexed as

AgedCOVID-19Critical IllnessFemaleHumansImmunoturbidimetryIntensive Care UnitsKidney DiseasesMaleMiddle AgedMortalityOdds RatioOrgan Dysfunction ScoresPrognosisProspective StudiesReceptors, Urokinase Plasminogen ActivatorPLAUR protein, humanReceptors, Urokinase Plasminogen Activator

Identifiers

PMID34471146
PMCPMC8410930
OpenAlexW3197594066

What OpenQuestion holds

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LicenceCC BY
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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.