Evidence map›Paper›PMID 36140553›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Usefulness and Limitations of Anti-S IgG Assay in Detecting Previous SARS-CoV-2 Breakthrough Infection in Fully Vaccinated Healthcare Workers.

Gianluca Spiteri, Maria Grazia Lourdes Monaco, Gulser Caliskan, Angela Carta, Maria Diletta Pezzani, Giuseppe Lippi, Davide Gibellini, Giuseppe Verlato, Stefano Porru

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 1 institution in 1 country.

Gianluca SpiteriOccupational Medicine Unit, University Hospital of Verona, 37134 Verona, Italy.ORCID 0000-0001-8536-7095
Maria Grazia Lourdes MonacoOccupational Medicine Unit, University Hospital of Verona, 37134 Verona, Italy.ORCID 0000-0003-4951-2528
Gulser CaliskanUnit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, 37134 Verona, Italy.
Angela CartaOccupational Medicine Unit, University Hospital of Verona, 37134 Verona, Italy.ORCID 0000-0002-3620-8765
Maria Diletta PezzaniInfectious Diseases Unit, University Hospital of Verona, 37134 Verona, Italy.
Giuseppe LippiSection of Clinical Biochemistry, Department of Neuroscience, Biomedicine and Movement, University of Verona, 37134 Verona, Italy.ORCID 0000-0001-9523-9054
Davide GibelliniSection of Microbiology, Department of Diagnostics and Public Health, University of Verona, 37129 Verona, Italy.
Giuseppe VerlatoUnit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, 37134 Verona, Italy.ORCID 0000-0001-5262-8818
Stefano PorruOccupational Medicine Unit, University Hospital of Verona, 37134 Verona, Italy.ORCID 0000-0003-3564-7202
University of Verona · IT

Funding

European Union's Horizon 2020 101016167
6 · The paper itself

Abstract

Introduction: The anti-spike (S) IgG assay is the most widely used method to assess the immunological response to COVID-19 vaccination. Several studies showed that subjects with perivaccination infection have higher anti-S IgG titers. However, a cut-off has not yet been identified so far for distinguishing infected subjects after vaccination. This study thus evaluates the performance of the anti-S IgG assay in identifying subjects with breakthrough infections (BIs) and its potential usefulness for screening healthcare workers (HCWs). Methods: Out of 6400 HCWs of the University Hospital of Verona vaccinated with two doses of BNT162b2, 4462 never infected before subjects who had completed primary vaccination were tested for IgG anti-S 6 to 9 months after the second dose. Of these, 59 (1.3%) had a BI. The discriminant power of IgG anti-S in detecting previous breakthrough infection was tested by constructing receiver operating characteristic (ROC) curves. Results: The discriminant power for BI was rather good (area under the curve (AUC), 0.78) and increased with decreasing time elapsed between antibody titer assessment and previous SARS-CoV-2 infection. Accuracy (AUC) sensitivity increased from 0.78 (95% CI 0.70−0.85) for BI in the previous six months to 0.83 (95% CI 0.67−0.99) for those in the previous two months, and from 0.68 to 0.80, respectively. The specificity (0.86) and optimal cut-off (935 BAU/mL) remained unchanged. However, BI were rather rare (1.3%), so the positive predictive value (PPV) was low. Only 40 of the 664 HCWs with antibody titer > 935 BAU/mL had previously confirmed BI, yielding a PPV of only 6.0%. When adopting as cut-off the 90th percentile (1180 BAU/mL), PPV increased to 7.9% (35/441). Conclusions: The anti-S IgG assay displayed good sensitivity and specificity in discriminating subjects with BI, especially in recent periods. However, BIs were rare among HCWs, so that the anti-S IgG assay may have low PPV in this setting, thus limiting the usefulness of this test as a screening tool for HCWs. Further studies are needed to identify more effective markers of a previous infection in vaccinated subjects.

Indexed as

anti-S IgGCOVID-19healthcare workersSARS-CoV-2 breakthrough infectionSARS-CoV-2 vaccination

Identifiers

PMID36140553
PMCPMC9497628
OpenAlexW4296801915

What OpenQuestion holds

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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.