Cited by 12SARS-CoV-2 and COVID-19 ResearchSARS-CoV-2 detection and testingCOVID-19 epidemiological studies

COVID-19 viral and serology testing in New York city health care workers

Open access
Racine-Brzostek, Sabrina E, Yang, He S, Chadburn, Amy, Orlander, Duncan, An, Anjile, Campion, Thomas R, Yee, Jim, Chen, Zhengming +4 more·2020·American Journal of Clinical Pathology

Abstract

While data continue to emerge around prevalence rates of coronavirus disease 2019 (COVID-19) in the general population, there is limited understanding of infection rates among health care workers (HCWs), a particularly important component of the response to this pandemic as more areas of the world experience surges in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection rates.1-3 Viral testing through reverse transcription polymerase chain reaction (RT-PCR) demonstrates active infection, whereas serologic testing for SARS-CoV-2 may answer epidemiologic questions about the prevalence of COVID-19, especially in areas where viral testing has been limited.4,5 Here we provide data showing SARS-CoV-2 antibody prevalence in HCWs working in a hospital in New York City (NYC) during the early pandemic in the United States. The first case in NYC was identified on March 1, 2020, and cases steeply grew over the ensuing weeks. Beginning on April 17, 2020, serologic testing was offered to HCWs who were employed at our 862-bed Manhattan quaternary-care teaching hospital, an affiliated Queens 535-bed tertiary-care community teaching hospital, and an affiliated 180-bed Manhattan nonteaching community hospital. To qualify for testing, HCWs were required to be asymptomatic for 14 days after illnesses consistent with COVID-19, regardless of prior viral testing. The SARS-CoV-2 cyclic enhanced fluorescence assay (CEFA) used (ET Healthcare) was validated against the Food and Drug Administration emergency use authorization–approved New York State (NYS) Department of Health method, showing excellent concordance (n = 145 HCW samples, 95.5% agreement excluding indeterminate results, κ = 0.905; 95% confidence interval [CI], 0.831-0.979). The CEFA also demonstrated excellent specificity (IgG = 98.8% and IgM = 99.4%) using 320 pre-COVID-19 samples.6 The SARS-CoV-2 RT-PCR assay was performed using the cobas SARS-CoV-2 test on the cobas 6800 platform (Roche Diagnostics), which detects SARS-CoV-2 RNA extracted from nasopharyngeal swab specimens. Among the 2,274 HCWs who received a serologic test between April 17, 2020, and May 7, 2020, 35.4% (805/2,274) tested positive for seroconversion of SARS-CoV-2 antibodies, 61.6% (1,401/2,274) tested negative, and 3.0% (68/2,274) were indeterminate Table 1. The majority of HCWs who had seroconverted were either IgG (573/805; 71.2%) or IgG/IgM positive (225/805; 27.9%) Table 2. Of the 2,274 HCWs receiving the serologic assay, 242 (10.6%) had a previous documented RT-PCR viral test. Among this dually tested population, all 68 HCWs (100%) who tested positive for COVID-19 by RT-PCR also tested positive for antibodies Figure 1, demonstrating IgG (47/68; 69.1%) or IgG/IgM (21/68; 30.9%) positivity (Table 2). In comparison, of the 174 HCWs with a negative RT-PCR test, 19.5% (34/174) tested positive for antibodies, reflective of (1) the clinical sensitivity of SARS-CoV-2 molecular assays, which are estimated to be between 58% and 96%, or (2) the timing of the molecular testing.7 Those with positive RT-PCR and serology tests had a higher median age (48 years; interquartile range, 41, 55 years) compared to all others (P < .001). Demographic Characteristics of Health Care Workers Who Received COVID-19 Testing RT-PCR, reverse transcription polymerase chain reaction. aThe P value for the comparison of age between test results is calculated with the use of the Kruskal-Wallis test with median (Q1, Q3). The P value for the comparison of sex, race, and job categories by testing result is calculated with the use of the χ 2 test and Fisher exact test. bJob role descriptors: Physician, NP (nurse practitioner), PA (physician assistant): patient-facing health care providers. Other staff in room: patient-facing health care workers, including nurses, respiratory therapists, phlebotomists. Ancillary staff: non–patient-facing workers on a hospital floor, including desk clerks, couriers, custodial staff, physical/occupational therapists, clinical laboratory workers. Administrative staff: non–patient-facing workers not on the hospital floor working primarily in an office. Other: Non–patient-facing workers that do not fall under previously mentioned categories, including medical school staff, cafeteria workers, non–clinical laboratory workers. Demographic Characteristics of Health Care Workers Who Received COVID-19 Testing RT-PCR, reverse transcription polymerase chain reaction. aThe P value for the comparison of age between test results is calculated with the use of the Kruskal-Wallis test with median (Q1, Q3). The P value for the comparison of sex, race, and job categories by testing result is calculated with the use of the χ 2 test and Fisher exact test. bJob role descriptors: Physician, NP (nurse practitioner), PA (physician assistant): patient-facing health care providers. Other staff in room: patient-facing health care workers, including nurses, respiratory therapists, phlebotomists. Ancillary staff: non–p

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/ajcp/aqaa142

Cites

11 of 11 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The seroprevalence of COVID-19 among UMS front liners (8.3%) was similar to a recent meta-analysis (8.7% in HCWs) but much lower than the 35.4% reported in the first wave in the US.

    “It was similar to a recent meta-analysis (8.7% in HCWs) [43], but was much lower than the 35.4% reported in the first wave in the US [44].”

    From Seroprevalence of COVID-19 and Psychological Distress among Front Liners at the Universiti Malaysia Sabah Campus during the Third Wave of COVID-19 (2022) · cites this paper as [44]

    The Results and Table 1 report 35.4% antibody positivity among 2,274 health care workers tested early in the pandemic. The paper specifies that testing was limited to workers at three New York City hospitals who had previously had COVID-19-consistent symptoms; the citing sentence omits that selection criterion, making the figure sound more broadly applicable to US health care workers. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • The seroprevalence of COVID-19 among UMS front liners was similar across age groups and sex.

    “The prevalence of seroconversion, however, demonstrated a similar seroprevalence across age groups and sex (refer to Table 2).”

    From Seroprevalence of COVID-19 and Psychological Distress among Front Liners at the Universiti Malaysia Sabah Campus during the Third Wave of COVID-19 (2022) · cites this paper as [44]

    Table 1 (page not available in our copy) shows no statistically significant difference in serology results by age (P = .076) or sex (P = .763) among the New York City health care workers tested. The paper does not study UMS front liners, so it cannot establish the same pattern in that population. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Racine-Brzostek, S. E., Yang, H. S., Chadburn, A., Orlander, D., An, A., Campion, T. R., Yee, J., Chen, Z., Loda, M., Zhao, Z., Kaushal, R., & Cushing, M. M.
Affiliations
  • Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
  • Weill Cornell Medicine (US)
  • NewYork–Presbyterian Hospital (US)
Corresponding author
Cushing, Melissa M
Venue
American Journal of Clinical Pathology
Published
2020-09-11
Volume
154
Issue
5
Pages
592-595
ISSN
  • 0002-9173 (ISSN-L)
  • 1943-7722
OpenAlex
W3085431047
Cited by
12
References
11
Citations by year
2025: 1 · 2023: 2 · 2022: 3 · 2021: 5
FWCI
0.33
Type
journal article
Language
en
Open access
Locations
  • American Journal of Clinical Pathology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
  • Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
Keywords
COVID-19 pandemic, SARS-CoV-2, healthcare workers, seroprevalence, SARS-CoV-2 antibodies, serologic testing, asymptomatic infection, hospital infection control, New York City hospitals, occupational exposure
MeSH terms
Betacoronavirus, COVID-19, SARS-CoV-2, Delivery of Health Care, Humans, New York City, Nurses, Physicians, Pneumonia, Viral, Serologic Tests, Coronavirus Infections, Pandemics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review