Back

Vaccine-induced correlate of protection against fatal COVID-19 in the old and frail during waves of neutralization resistant variants of concern.

Vikstrom, L.; Fjallstrom, P.; Gwon, Y.-D.; Sheward, D. J.; Wigren-Bystrom, J.; Evander, M.; Bladh, O.; Widerstroem, M.; Molnar, C.; Rasmussen, G.; Bennet, L.; Aberg, M.; Bjork, J.; Tevell, S.; Thalin, C.; Blom, K.; Klingstrom, J.; Murrell, B.; Ahlm, C.; Normark, J.; Johansson, A. F.; Forsell, M.

2023-02-23 infectious diseases
10.1101/2023.02.16.23286009 medRxiv
Show abstract

BackgroundTo 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. MethodsWe performed repeated capillary blood sampling with analysis of S-binding IgG in an open cohort study with inclusion of nursing home residents in Sweden. We analyzed immunological and registry data collected from September 2021 with end of follow-up 31 August 2022. The study period included implementation of the 3rd and 4th mRNA monovalent vaccine doses and Omicron virus waves. FindingsA 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 among 2606 blood-sampled individuals and corresponding increase of neutralizing antibodies. The 4th mRNA vaccine dose boosted the 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 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 risk plateaued at population average above lower 35th percentile of S-binding IgG. InterpretationIn the absence of neutralizing antibodies that protection 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. FundingSwedish Research Council, SciLife, Knut and Alice Wallenberg Foundation and Vinnova.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.