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The Duration, Dynamics, and Determinants of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Antibody Responses in Individual Healthcare Workers.
Lumley, Sheila F; Wei, Jia; O'Donnell, Denise; Stoesser, Nicole E; Matthews, Philippa C; Howarth, Alison; Hatch, Stephanie B; Marsden, Brian D; Cox, Stuart; James, Tim; Peck, Liam J; Ritter, Thomas G; de Toledo, Zoe; Cornall, Richard J; Jones, E Yvonne; Stuart, David I; Screaton, Gavin; Ebner, Daniel; Hoosdally, Sarah; Crook, Derrick W; Conlon, Christopher P; Pouwels, Koen B; Walker, A Sarah; Peto, Tim E A; Walker, Timothy M; Jeffery, Katie; Eyre, David W.
  • Lumley SF; Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
  • Wei J; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • O'Donnell D; Big Data Institute, University of Oxford, Oxford, United Kingdom.
  • Stoesser NE; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Matthews PC; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Howarth A; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Hatch SB; National Institute for Health Research (NIHR) Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom.
  • Marsden BD; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, United Kingdom.
  • Cox S; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • James T; National Institute for Health Research (NIHR) Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom.
  • Peck LJ; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, United Kingdom.
  • Ritter TG; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • de Toledo Z; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Cornall RJ; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Jones EY; Kennedy Institute of Rheumatology Research, University of Oxford, United Kingdom.
  • Stuart DI; Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
  • Screaton G; Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
  • Ebner D; Medical School, University of Oxford, Oxford, United Kingdom.
  • Hoosdally S; Medical School, University of Oxford, Oxford, United Kingdom.
  • Crook DW; Medical School, University of Oxford, Oxford, United Kingdom.
  • Conlon CP; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Pouwels KB; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Walker AS; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Peto TEA; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Walker TM; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Jeffery K; Target Discovery Institute, University of Oxford, Oxford, United Kingdom.
  • Eyre DW; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
Clin Infect Dis ; 73(3): e699-e709, 2021 08 02.
Article in English | MEDLINE | ID: covidwho-1387800
ABSTRACT

BACKGROUND:

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobulin G (IgG) antibody measurements can be used to estimate the proportion of a population exposed or infected and may be informative about the risk of future infection. Previous estimates of the duration of antibody responses vary.

METHODS:

We present 6 months of data from a longitudinal seroprevalence study of 3276 UK healthcare workers (HCWs). Serial measurements of SARS-CoV-2 anti-nucleocapsid and anti-spike IgG were obtained. Interval censored survival analysis was used to investigate the duration of detectable responses. Additionally, Bayesian mixed linear models were used to investigate anti-nucleocapsid waning.

RESULTS:

Anti-spike IgG levels remained stably detected after a positive result, for example, in 94% (95% credibility interval [CrI] 91-96%) of HCWs at 180 days. Anti-nucleocapsid IgG levels rose to a peak at 24 (95% CrI 19-31) days post first polymerase chain reaction (PCR)-positive test, before beginning to fall. Considering 452 anti-nucleocapsid seropositive HCWs over a median of 121 days from their maximum positive IgG titer, the mean estimated antibody half-life was 85 (95% CrI 81-90) days. Higher maximum observed anti-nucleocapsid titers were associated with longer estimated antibody half-lives. Increasing age, Asian ethnicity, and prior self-reported symptoms were independently associated with higher maximum anti-nucleocapsid levels and increasing age and a positive PCR test undertaken for symptoms with longer anti-nucleocapsid half-lives.

CONCLUSIONS:

SARS-CoV-2 anti-nucleocapsid antibodies wane within months and fall faster in younger adults and those without symptoms. However, anti-spike IgG remains stably detected. Ongoing longitudinal studies are required to track the long-term duration of antibody levels and their association with immunity to SARS-CoV-2 reinfection.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Topics: Long Covid Limits: Adult / Humans Language: English Journal: Clin Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: CID

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Topics: Long Covid Limits: Adult / Humans Language: English Journal: Clin Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: CID