Evidence map›Paper›PMID 37600824›Full record

Observational studyFrontiers in immunology2023

T cell immune response predicts survival in severely ill COVID-19 patients requiring venovenous extracorporeal membrane oxygenation support.

Zsuzsanna Ulakcsai, Liliana Szabo, Zsofia Szabo, Eva Karaszi, Tamas Szabo, Levente Fazekas, Alexandra Vereb, Nora Fanna Kovacs, Dora Nemeth, Eniko Kovacs and 4 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Review
  5. 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

14 authors at 2 institutions in 2 countries.

Zsuzsanna UlakcsaiHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Liliana SzaboHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Zsofia SzaboDepartment of Laboratory Medicine, Semmelweis University, Budapest, Hungary.
Eva KarasziPediatric Healthcare Center, Council of Budafok-Tétény, Budapest, Hungary.
Tamas SzaboDepartment of Laboratory Medicine, Semmelweis University, Budapest, Hungary.
Levente FazekasHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Alexandra VerebHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Nora Fanna KovacsHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Dora NemethDepartment of Rheumatology and Clinical Immunology, Semmelweis University, Budapest, Hungary.
Eniko KovacsHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Endre NemethHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Gyorgy NagyHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Hajnalka VagoHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Bela MerkelyHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Semmelweis University · HUBuda Health Center · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There is a critical gap in understanding which SARS-CoV-2 patients would benefit most from venovenous extracorporeal membrane oxygenation (VV-ECMO) support. The potential role of a dysregulated immune response is still unclear in this patient population. Objectives: To assess the potential predictive value of SARS-CoV-2 specific cellular and humoral immune responses for survival in critically ill COVID-19 patients requiring VV-ECMO. Methods: We conducted a prospective single-center observational study of unvaccinated patients requiring VV-ECMO support treated at the intensive care unit of Semmelweis University Heart and Vascular Center between March and December 2021. Peripheral blood samples were collected to measure the humoral and cellular immune statuses of the patients at the VV-ECMO cannulation. Patients were followed until hospital discharge. Results: Overall, 35 COVID-19 patients (63% men, median age 37 years) on VV-ECMO support were included in our study. The time from COVID-19 verification to ECMO support was a median (IQR) of 10 (7-14) days. Of the patients, 9 (26%) were discharged alive and 26 (74%) died during their hospital stay. Immune tests confirmed ongoing SARS-CoV-2 infection in all the patients, showing an increased humoral immune response. SARS-CoV-2-specific cellular immune response was significantly higher among survivors compared to the deceased patients. A higher probability of survival was observed in patients with markers indicating a higher T cell response detected by both QuantiFeron (QF) and flow cytometry (Flow) assays. (Flow S1 CD8+ ≥ 0.15%, Flow S1 CD4+ ≥ 0.02%, QF CD4 ≥ 0.07, QF whole genome ≥ 0.59). In univariate Cox proportional hazard regression analysis BMI, right ventricular (RV) failure, QF whole genome T cell level, and Flow S1 CD8+ T cell level were associated with mortality, and we found that an increased T cell response showed a significant negative association with mortality, independent of BMI and RV failure. Conclusion: Evaluation of SARS-CoV-2 specific T cell response before the cannulation can aid the risk stratification and evaluation of seriously ill COVID-19 patients undergoing VV-ECMO support by predicting survival, potentially changing our clinical practice in the future.

Indexed as

COVID-19Extracorporeal Membrane OxygenationHeart FailureAdultCD8-Positive T-LymphocytesFemaleHumansMaleProspective StudiesSARS-CoV-2antibody responseCOVID-19ECMOimmune dysregulationSARS-COV-2serological testT cell response

Identifiers

PMID37600824
PMCPMC10433181
OpenAlexW4385451202

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.