Evidence map›Paper›PMID 36359409›Full record

ArticleBiomedicines2022

Investigation of hs-TnI and sST-2 as Potential Predictors of Long-Term Cardiovascular Risk in Patients with Survived Hospitalization for COVID-19 Pneumonia.

Lukas Fiedler, Lukas J Motloch, Peter Jirak, Ruslan Gumerov, Paruir Davtyan, Diana Gareeva, Irina Lakman, Alexandr Tataurov, Gulnaz Lasinova, Valentin Pavlov and 7 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

17 authors at 5 institutions in 3 countries.

Lukas FiedlerUniversity Clinic for Internal Medicine II, Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0003-2626-3098
Lukas J MotlochUniversity Clinic for Internal Medicine II, Paracelsus Medical University, 5020 Salzburg, Austria.
Peter JirakUniversity Clinic for Internal Medicine II, Paracelsus Medical University, 5020 Salzburg, Austria.
Ruslan GumerovDepartment of Internal Diseases, Bashkir State Medical University, Lenin Str. 3, 450008 Ufa, Russia.
Paruir DavtyanDepartment of Internal Diseases, Bashkir State Medical University, Lenin Str. 3, 450008 Ufa, Russia.
Diana GareevaDepartment of Internal Diseases, Bashkir State Medical University, Lenin Str. 3, 450008 Ufa, Russia.
Irina LakmanDepartment of Internal Diseases, Bashkir State Medical University, Lenin Str. 3, 450008 Ufa, Russia.ORCID 0000-0001-9876-9202
Alexandr TataurovDepartment of Biomedical Engineering, Ufa University of Science and Technology, Zaki Validi Str. 32, 450076 Ufa, Russia.
Gulnaz LasinovaDepartment of Internal Diseases, Bashkir State Medical University, Lenin Str. 3, 450008 Ufa, Russia.
Valentin PavlovDepartment of Urology, Bashkir State Medical University, Lenin Str. 3, 450008 Ufa, Russia.
Laurenz HauptmannUniversity Clinic for Internal Medicine II, Paracelsus Medical University, 5020 Salzburg, Austria.
Kristen KoppUniversity Clinic for Internal Medicine II, Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0002-7265-8560
Uta C HoppeUniversity Clinic for Internal Medicine II, Paracelsus Medical University, 5020 Salzburg, Austria.
Michael LichtenauerUniversity Clinic for Internal Medicine II, Paracelsus Medical University, 5020 Salzburg, Austria.
Rudin PistulliDepartment of Cardiology I, Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Muenster, 48149 Muenster, Germany.
Anna-Maria DieplingerNursing Science Program, Institute for Nursing Science and Practice, Paracelsus Medical University, 5020 Salzburg, Austria.
Naufal ZagidullinDepartment of Internal Diseases, Bashkir State Medical University, Lenin Str. 3, 450008 Ufa, Russia.ORCID 0000-0003-2386-6707
Paracelsus Medical University · ATBashkir State Medical University · RUJohannes Kepler University of Linz · ATUfa Institute of Chemistry · RUUniversity Hospital Münster · DE

Funding

Russian Science Foundation 22-25-00019
6 · The paper itself

Abstract

Introduction: COVID-19 survivors reveal an increased long-term risk for cardiovascular disease. Biomarkers like troponins and sST-2 improve stratification of cardiovascular risk. Nevertheless, their prognostic value for identifying long-term cardiovascular risk after having survived COVID-19 has yet to be evaluated. Methods: In this single-center study, admission serum biomarkers of sST-2 and hs-TnI in a single cohort of 251 hospitalized COVID-19 survivors were evaluated. Concentrations were correlated with major cardiovascular events (MACE) defined as cardiovascular death and/or need for cardiovascular hospitalization during follow-up after hospital discharge [FU: 415 days (403; 422)]. Results: MACE was a frequent finding during FU with an incidence of 8.4% (cardiovascular death: 2.8% and/or need for cardiovascular hospitalization: 7.2%). Both biomarkers were reliable indicators of MACE (hs-TnI: sensitivity = 66.7% & specificity = 65.7%; sST-2: sensitivity = 33.3% & specificity = 97.4%). This was confirmed in a multivariate proportional-hazards analysis: besides age (HR = 1.047, 95% CI = 1.012−1.084, p = 0.009), hs-TnI (HR = 4.940, 95% CI = 1.904−12.816, p = 0.001) and sST-2 (HR = 10.901, 95% CI = 4.509−29.271, p < 0.001) were strong predictors of MACE. The predictive value of the model was further improved by combining both biomarkers with the factor age (concordance index hs-TnI + sST2 + age = 0.812). Conclusion: During long-term FU, hospitalized COVID-19 survivors, hs-TnI and sST-2 at admission, were strong predictors of MACE, indicating both proteins to be involved in post-acute sequelae of COVID-19.

Indexed as

cardiovascular death 2COVID-19 3long COVID-19 5MACE 1post-acute COVID-19 sequelae 4sST-2 7troponin 6

Identifiers

PMID36359409
PMCPMC9687975
OpenAlexW4308694746

What Socratic 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 Socratic graph.