Evidence map›Paper›PMID 36497655›Full record

ArticleInternational journal of environmental research and public health2022

High Anti-CoV2S Antibody Levels at Hospitalization Are Associated with Improved Survival in Patients with COVID-19 Vaccine Breakthrough Infection.

Matthias Wolfgang Heinzl, Lisa Kolenchery, Michael Resl, Carmen Klammer, Anne Black, Florian Obendorf, Lukas Schinagl, Roland Feldbauer, Johannes Pohlhammer, Thomas Wagner and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. 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

13 authors at 2 institutions in 1 country.

Matthias Wolfgang HeinzlDepartment of Internal Medicine, Konventhospital Barmherzige Brueder Linz (St. John of God Hospital Linz), 4020 Linz, Austria.ORCID 0000-0002-9799-566X
Lisa KolencheryDepartment of Internal Medicine, Konventhospital Barmherzige Brueder Linz (St. John of God Hospital Linz), 4020 Linz, Austria.ORCID 0000-0003-0559-8008
Michael ReslDepartment of Internal Medicine, Konventhospital Barmherzige Brueder Linz (St. John of God Hospital Linz), 4020 Linz, Austria.ORCID 0000-0002-1702-8945
Carmen KlammerDepartment of Internal Medicine, Konventhospital Barmherzige Brueder Linz (St. John of God Hospital Linz), 4020 Linz, Austria.
Anne BlackDepartment of Laboratory Medicine, Konventhospital Barmherzige Brueder Linz (St. John of God Hospital Linz), 4020 Linz, Austria.
Florian ObendorfDepartment of Internal Medicine, Konventhospital Barmherzige Brueder Linz (St. John of God Hospital Linz), 4020 Linz, Austria.
Lukas SchinaglDepartment of Internal Medicine, Konventhospital Barmherzige Brueder Linz (St. John of God Hospital Linz), 4020 Linz, Austria.
Roland FeldbauerDepartment of Internal Medicine, Konventhospital Barmherzige Brueder Linz (St. John of God Hospital Linz), 4020 Linz, Austria.
Johannes PohlhammerDepartment of Internal Medicine, Konventhospital Barmherzige Brueder Linz (St. John of God Hospital Linz), 4020 Linz, Austria.
Thomas WagnerDepartment of Internal Medicine, Konventhospital Barmherzige Brueder Linz (St. John of God Hospital Linz), 4020 Linz, Austria.
Thomas BergerDepartment of Internal Medicine, Konventhospital Barmherzige Brueder Linz (St. John of God Hospital Linz), 4020 Linz, Austria.
Benjamin DieplingerDepartment of Laboratory Medicine, Konventhospital Barmherzige Brueder Linz (St. John of God Hospital Linz), 4020 Linz, Austria.
Martin ClodiDepartment of Internal Medicine, Konventhospital Barmherzige Brueder Linz (St. John of God Hospital Linz), 4020 Linz, Austria.
Convent Hospital of the Brothers of Saint John of God · ATJohannes Kepler University of Linz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough vaccination against COVID-19 is highly effective, breakthrough infections occur, often leading to severe courses and death. The extent of protection provided by individual antibody levels in breakthrough infections is still unknown and cut-off levels have yet to be determined.

methodsIn 80 consecutive fully vaccinated patients hospitalized between August and December 2021 with COVID-19 breakthrough infection (Delta variant), anti-CoV2S antibody levels were analyzed for the endpoint of death.

resultsTen out of the 12 patients who died (83.3%) had antibody levels < 600 U/mL; 5 (41.7%) of these had antibody levels < 200 U/mL. Only 2 patients with a level of >600 U/mL died from vaccine breakthrough infection. Correction for the number of comorbidities and age revealed that anti-CoV2S antibody levels at the time of hospitalization were a significant predictor for reduced risk of death (OR = 0.402 for every 1000 U/mL,

conclusionsIn this retrospective data analysis, we show that almost all patients who died from COVID-19 vaccine breakthrough infection had antibody levels < 600 U/mL, most of them below 200 U/mL. In logistic regression corrected for the number of comorbidities and age, anti-CoV2S antibody levels at the time of hospitalization proved to be a significantly protective predictor against death.

Indexed as

COVID-19VaccinesBreakthrough InfectionsCOVID-19 VaccinesHumansRetrospective StudiesSARS-CoV-2COVID-19 VaccinesVaccinesanti-CoV2S antibodyCOVID-19Delta variantmortalityoutcome predictionvaccine breakthrough infection

Identifiers

PMID36497655
PMCPMC9740194
OpenAlexW4309845445

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.