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Using SARS-CoV-2 anti-S IgG levels as a marker of previous infection: example from an Israeli healthcare worker cohort.
Abu Jabal, Kamal; Edelstein, Michael.
  • Abu Jabal K; Ziv Medical Center, Safed, Israel; Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel.
  • Edelstein M; Ziv Medical Center, Safed, Israel; Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel. Electronic address: Michael.edelstein@biu.ac.il.
Int J Infect Dis ; 120: 22-24, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1778204
ABSTRACT

OBJECTIVES:

Determining COVID-19 status is important for global epidemiology and individual-level vaccination decision-making. SARS-CoV-2 infection can generally only be detected during a 7-10-day period using polymerase chain reaction or rapid antigen testing, and infection-specific antinucleocapsid IgG assays are not universally available. We determined whether SARS-CoV-2 antispike (anti-S) IgG levels could discriminate between vaccination and previous infection when interpreted alongside vaccination timing.

METHODS:

We measured SARS-CoV-2 anti-S-IgG level in 535 vaccinated Israeli healthcare workers with known previous infection status 6-8 months after the second dose.

RESULTS:

Anti-S IgG levels above 1000 AU/ml at that time point was 93.3% predictive of infection in the previous 3 months, whereas the negative predictive value for infection in the past 3 months of a level below that threshold was 99.5%.

CONCLUSION:

When interpreted alongside vaccination timing, anti-S serological assays can confirm or exclude previous infections within the previous 3 months.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: Asia Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: J.ijid.2022.04.010

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: Asia Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: J.ijid.2022.04.010