Vaccine-induced correlate of protection against fatal COVID-19 in older and frail adults during waves of neutralization-resistant variants of concern: an observational study.

COVID-19 Correlate of protection Immune monitoring of vulnerable populations Longevity of vaccination Open cohort study Vaccination Vulnerable population

Journal

The Lancet regional health. Europe
ISSN: 2666-7762
Titre abrégé: Lancet Reg Health Eur
Pays: England
ID NLM: 101777707

Informations de publication

Date de publication:
06 May 2023
Historique:
received: 21 02 2023
revised: 18 04 2023
accepted: 19 04 2023
medline: 26 6 2023
pubmed: 26 6 2023
entrez: 26 6 2023
Statut: aheadofprint

Résumé

To inform future preventive measures including repeated vaccinations, we have searched for a clinically useful immune correlate of protection against fatal COVID-19 among nursing homes residents. We performed repeated capillary blood sampling with analysis of S-binding IgG in an open cohort of nursing home residents in Sweden. We analyzed immunological and registry data from 16 September 2021 to 31 August 2022 with follow-up of deaths to 30 September 2022. The study period included implementation of the 3rd and 4th mRNA monovalent vaccine doses and Omicron virus waves. A total of 3012 nursing home residents with median age 86 were enrolled. The 3rd mRNA dose elicited a 99-fold relative increase of S-binding IgG in blood and corresponding increase of neutralizing antibodies. The 4th mRNA vaccine dose boosted levels 3.8-fold. Half-life of S-binding IgG was 72 days. A total 528 residents acquired their first SARS-CoV-2 infection after the 3rd or the 4th vaccine dose and the associated 30-day mortality was 9.1%. We found no indication that levels of vaccine-induced antibodies protected against infection with Omicron VOCs. In contrast, the risk of death was inversely correlated to levels of S-directed IgG below the 20th percentile. The death risk plateaued at population average above the lower 35th percentile of S-binding IgG. In the absence of neutralizing antibodies that protect from infection, quantification of S-binding IgG post vaccination may be useful to identify the most vulnerable for fatal COVID-19 among the oldest and frailest. This information is of importance for future strategies to protect vulnerable populations against neutralization resistant variants of concern. Swedish Research Council, SciLifeLab via Knut and Alice Wallenberg Foundation, VINNOVA. Swedish Healthcare Regions, and Erling Persson Foundation.

Sections du résumé

Background UNASSIGNED
To inform future preventive measures including repeated vaccinations, we have searched for a clinically useful immune correlate of protection against fatal COVID-19 among nursing homes residents.
Methods UNASSIGNED
We performed repeated capillary blood sampling with analysis of S-binding IgG in an open cohort of nursing home residents in Sweden. We analyzed immunological and registry data from 16 September 2021 to 31 August 2022 with follow-up of deaths to 30 September 2022. The study period included implementation of the 3rd and 4th mRNA monovalent vaccine doses and Omicron virus waves.
Findings UNASSIGNED
A total of 3012 nursing home residents with median age 86 were enrolled. The 3rd mRNA dose elicited a 99-fold relative increase of S-binding IgG in blood and corresponding increase of neutralizing antibodies. The 4th mRNA vaccine dose boosted levels 3.8-fold. Half-life of S-binding IgG was 72 days. A total 528 residents acquired their first SARS-CoV-2 infection after the 3rd or the 4th vaccine dose and the associated 30-day mortality was 9.1%. We found no indication that levels of vaccine-induced antibodies protected against infection with Omicron VOCs. In contrast, the risk of death was inversely correlated to levels of S-directed IgG below the 20th percentile. The death risk plateaued at population average above the lower 35th percentile of S-binding IgG.
Interpretation UNASSIGNED
In the absence of neutralizing antibodies that protect from infection, quantification of S-binding IgG post vaccination may be useful to identify the most vulnerable for fatal COVID-19 among the oldest and frailest. This information is of importance for future strategies to protect vulnerable populations against neutralization resistant variants of concern.
Funding UNASSIGNED
Swedish Research Council, SciLifeLab via Knut and Alice Wallenberg Foundation, VINNOVA. Swedish Healthcare Regions, and Erling Persson Foundation.

Identifiants

pubmed: 37363799
doi: 10.1016/j.lanepe.2023.100646
pii: S2666-7762(23)00065-0
pmc: PMC10163377
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100646

Informations de copyright

© 2023 The Author(s).

Déclaration de conflit d'intérêts

All authors declare no competing interests.

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Auteurs

Linnea Vikström (L)

The Department of Clinical Microbiology, Umeå University, Umeå, Sweden.

Peter Fjällström (P)

The Department of Clinical Microbiology, Umeå University, Umeå, Sweden.

Yong-Dae Gwon (YD)

The Department of Clinical Microbiology, Umeå University, Umeå, Sweden.

Daniel J Sheward (DJ)

The Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna, Sweden.

Julia Wigren-Byström (J)

The Department of Clinical Microbiology, Umeå University, Umeå, Sweden.

Magnus Evander (M)

The Department of Clinical Microbiology, Umeå University, Umeå, Sweden.

Oscar Bladh (O)

The Department of Clinical Sciences, Karolinska Institutet Danderyd Hospital, Stockholm, Sweden.

Micael Widerström (M)

The Department of Clinical Microbiology, Umeå University, Umeå, Sweden.

Christian Molnar (C)

Familjeläkarna, Stockholm, Sweden.

Gunlög Rasmussen (G)

School of Medical Sciences, Örebro University, Örebro, Sweden.

Louise Bennet (L)

Department of Clinical Sciences, Clinical Studies Sweden, Forum South, Skåne University Hospital, Lund University, Lund, Sweden.

Mikael Åberg (M)

The Department of Medical Sciences, Clinical Chemistry and SciLifeLab, Uppsala University, Uppsala, Sweden.

Jonas Björk (J)

The Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden.

Staffan Tevell (S)

Faculty of Medicine and Health, The Department of Infectious Diseases, Karlstad Hospital and Centre for Clinical Research and Education, Region Värmland, Örebro University, Örebro, Sweden.

Charlotte Thålin (C)

The Department of Clinical Sciences, Karolinska Institutet Danderyd Hospital, Stockholm, Sweden.

Kim Blom (K)

The Swedish Public Health Agency, Stockholm, Sweden.

Jonas Klingström (J)

The Department of Biomedical Clinical Sciences, Linköpings University, Linköping, Sweden.

Ben Murrell (B)

The Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna, Sweden.

Clas Ahlm (C)

The Department of Clinical Microbiology, Umeå University, Umeå, Sweden.

Johan Normark (J)

The Department of Clinical Microbiology, Umeå University, Umeå, Sweden.

Anders F Johansson (AF)

The Department of Clinical Microbiology, Umeå University, Umeå, Sweden.

Mattias N E Forsell (MNE)

The Department of Clinical Microbiology, Umeå University, Umeå, Sweden.

Classifications MeSH