| Literature DB >> 34857065 |
Yaniv Lustig1,2, Carmit Cohen3, Asaf Biber2,3, Hanaa Jaber3, Yael Becker Ilany3, Victoria Indenbaum1, Sharon Amit4, Michal Mandelboim1,2, Ella Mendelson1,2, Gili Regev-Yochay2,3.
Abstract
IntroductionThe COVID-19 pandemic has put healthcare workers (HCW) at significant risk. Presence of antibodies can confirm prior severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.AimThis study investigates the prevalence of IgA and IgG antibodies against SARS-CoV-2 in HCW.MethodsPerformance of IgA and IgG antibody ELISA assays were initially evaluated in positive and negative SARS-CoV-2 serum samples. IgA and IgG antibodies against SARS-CoV-2 were measured in 428 asymptomatic HCW. We assessed the risk of two groups: HCW with high exposure risk outside work (HROW) residing in areas where COVID-19 was endemic (n = 162) and HCW with high exposure risk at work (HRAW) in a COVID-19 intensive care unit (ICU) (n = 97).ResultsSensitivities of 80% and 81.2% and specificities of 97.2% and 98% were observed for IgA and IgG antibodies, respectively. Of the 428 HCW, three were positive for IgG and 27 for IgA. Only 3/27 (11%) IgA-positive HCW had IgG antibodies compared with 50/62 (81%) in a group of previous SARS-CoV-2-PCR-positive individuals. Consecutive samples from IgA-positive HCW demonstrated IgA persistence 18-83 days in 12/20 samples and IgG seroconversion in 1/20 samples. IgA antibodies were present in 8.6% of HROW and 2% of HRAW.ConclusionsSARS-CoV-2 exposure may lead to asymptomatic transient IgA response without IgG seroconversion. The significance of these findings needs further study. Out of work exposure is a possible risk of SARS-CoV-2 infection in HCW and infection in HCW can be controlled if adequate protective equipment is implemented.Entities:
Keywords: COVID-19; ELISA; IgA; SARS-CoV-2; healthcare workers; serosurveillance
Mesh:
Substances:
Year: 2021 PMID: 34857065 PMCID: PMC8641069 DOI: 10.2807/1560-7917.ES.2021.26.48.2001690
Source DB: PubMed Journal: Euro Surveill ISSN: 1025-496X
Figure 1Flowchart of the study design, healthcare worker SARS-CoV-2 seroprevalence study, Ramat Gan, Israel, 4 April 2020–13 July 2020
Characteristics of healthcare workers, healthcare worker SARS-CoV-2 seroprevalence study, Ramat Gan, Israel, 4 April 2020–13 July 2020 (n = 428)
| Characteristics | All HCW | HROW group | HRAW group | |||
|---|---|---|---|---|---|---|
| n | % | n | % | n | % | |
| Total population | 428 | 100 | 162 | 38 | 97 | 23 |
| Sex (female) | 287 | 67 | 116 | 71 | 50 | 51 |
| Age | 40 (18–72) | 42 (18–72) | 38 (25–69) | |||
| Range of confirmed COVID-19 cases / 100,000 population in place of residencea | – | 21.1–89.4 | 0–5.8 | |||
| Direct patient contactb | 282 | 66 | 48 | 30 | 94 | 97 |
| SARS-CoV-2 qRT-PCR-positive | 2 | 0.4 | 2 | 1.2 | 0 | 0 |
| Experiencing symptoms within last 2 weeks | 75 | 17.5 | 19 | 12 | 10 | 10 |
COVID-19: coronavirus disease; HCW: healthcare worker; HRAW: high risk at work; HROW: high risk outside work; qRT-PCR: quantitative reverse transcription-polymerase chain reaction; SARS-CoV-2: severe acute respiratory syndrome coronavirus 2.
a As published by the Israeli Ministry of Health on 30 April 2020.
b Practitioners and nurses.
Evaluation of ELISA assay performance and IgA and IgG seroprevalence, healthcare worker SARS-CoV-2 seroprevalence study, Ramat Gan, Israel, 4 April 2020–13 July 2020 (n = 428)
| Test performance | HCW seroprevalence | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Antibody type | Negative SARS-CoV-2a | Early positive COVID-19b | Positive COVID-19c | All HCW | HROW group | HRAW group | ||||||
| Positive | Specificity (95% CI) | Positive/total | Sensitivity (95% CI) | Positive | Sensitivity (95% CI) | Positive | % (95% CI) | Positive/total | % (95% CI) | Positive/total | % (95% CI) | |
|
| 5/181 | 97.2 (93.3–98.9) | 34/69 | 49.2 (37.1–61.4) | 44/55 | 80 (66.6–89.1) | 27/428 | 6.3 (4.3–9.2) | 14/162 | 8.6 (5.2–14) | 2/97 | 2 (0.6–7.2) |
|
| 3/157 | 98 (94–99.5) | 19/69 | 27.5 (17.8–39.8) | 45/55 | 81.8 (68.6–90.4) | 3/428 | 0.7 (0.24–2) | 1/162 | 0.6 (0.1–3) | 0/97 | 0 (0–3.8) |
CI: confidence interval; COVID-19: coronavirus disease; HCW: healthcare worker; HRAW: high risk at work; HROW: high risk outside work; qRT-PCR: quantitative reverse transcription-polymerase chain reaction; SARS-CoV-2: severe acute respiratory syndrome coronavirus 2.
a Sera before September 2019.
b Sera from qRT-PCR-positive COVID-19 individuals < 14 days.
c Sera from recovered COVID-19 individuals ≥ 14 days.
Figure 2Performance of IgA and IgG ELISA, healthcare worker SARS-CoV-2 seroprevalence study, Ramat Gan, Israel, 4 April 2020–11 May 2020
Antibody kinetics of IgA-positive participants, healthcare worker SARS-CoV-2 seroprevalence study, Ramat Gan, Israel, 4 April 2020–13 July 2020 (n = 20)
| Participant number | First sample | Second sample | Time (days) between samples | ||
|---|---|---|---|---|---|
| IgA result (ratio) | IgG result (ratio) | IgA result (ratio) | IgG result (ratio) | ||
|
| Pos (1.17) | Neg | Pos (2.00) | Neg | 83 |
|
| Pos (1.55) | Neg | Pos (2.39) | Neg | 80 |
|
| Pos (2.61) | Neg | Pos (2.40) | Neg | 79 |
|
| Pos (2.22) | Neg | Neg | Neg | 79 |
|
| Pos (1.17) | Neg | Border (1.05) | Neg | 79 |
|
| Pos (1.17) | Neg | Border (0.80) | Neg | 79 |
|
| Pos (1.24) | Neg | Border (0.82) | Neg | 78 |
|
| Pos (2.3) | Neg | Pos (2.76) | Neg | 73 |
|
| Pos (2.18) | Neg | Neg | Neg | 73 |
|
| Pos (1.67) | Neg | Pos (1.65) | Neg | 72 |
|
| Pos (1.16) | Neg | Pos (1.35) | Neg | 72 |
|
| Pos (1.29) | Neg | Pos (1.83) | Neg | 69 |
|
| Pos (1.30) | Neg | Pos (1.28) | Neg | 67 |
|
| Pos (1.47) | Neg | Pos (2.47) | Neg | 52 |
|
| Pos (1.90) | Neg | Neg | Neg | 36 |
|
| Pos (1.64) | Neg | Border (1.06) | Pos (1.24) | 24 |
|
| Pos (7.97) | Pos (1.54) | Pos (6.64) | Pos (2.53) | 22 |
|
| Pos (1.40) | Border (0.96) | Pos (1.53) | Neg | 19 |
|
| Pos (6.67) | Pos (6.42) | Pos (6.09) | Pos (13.23) | 18 |
|
| Pos (1.14) | Border (1.00) | Border (0.96) | Border (0.8) | 17 |
Neg: negative; Pos: positive; SARS-CoV-2: severe acute respiratory syndrome coronavirus 2.