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jueves, 31 de diciembre de 2020

Connected Devices to Support Remote Examination and Diagnosis in Primary Care and Specialty Care | CADTH.ca

Tweet de Miguel Marcos #CuidadoConLosEspaciosCerrados en Twitter. Fantástico hilo.



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Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine | NEJM



GOOD NEWS.
EN DEFINITIVA PARECE EFICAZ DISMINUYE NUMERO DE CASOS Y EVITA LOS SEVEROS Y PARECE REDUCIR TRANSMISIBILIDAD.



Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine

Abstract

Background

Vaccines are needed to prevent coronavirus disease 2019 (Covid-19) and to protect persons who are at high risk for complications. The mRNA-1273 vaccine is a lipid nanoparticle–encapsulated mRNA-based vaccine that encodes the prefusion stabilized full-length spike protein of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes Covid-19.

Methods

This phase 3 randomized, observer-blinded, placebo-controlled trial was conducted at 99 centers across the United States. Persons at high risk for SARS-CoV-2 infection or its complications were randomly assigned in a 1:1 ratio to receive two intramuscular injections of mRNA-1273 (100 μg) or placebo 28 days apart. The primary end point was prevention of Covid-19 illness with onset at least 14 days after the second injection in participants who had not previously been infected with SARS-CoV-2.

Results

The trial enrolled 30,420 volunteers who were randomly assigned in a 1:1 ratio to receive either vaccine or placebo (15,210 participants in each group). More than 96% of participants received both injections, and 2.2% had evidence (serologic, virologic, or both) of SARS-CoV-2 infection at baseline. Symptomatic Covid-19 illness was confirmed in 185 participants in the placebo group (56.5 per 1000 person-years; 95% confidence interval [CI], 48.7 to 65.3) and in 11 participants in the mRNA-1273 group (3.3 per 1000 person-years; 95% CI, 1.7 to 6.0); vaccine efficacy was 94.1% (95% CI, 89.3 to 96.8%; P<0.001). Efficacy was similar across key secondary analyses, including assessment 14 days after the first dose, analyses that included participants who had evidence of SARS-CoV-2 infection at baseline, and analyses in participants 65 years of age or older. Severe Covid-19 occurred in 30 participants, with one fatality; all 30 were in the placebo group. Moderate, transient reactogenicity after vaccination occurred more frequently in the mRNA-1273 group. Serious adverse events were rare, and the incidence was similar in the two groups.

Conclusions

The mRNA-1273 vaccine showed 94.1% efficacy at preventing Covid-19 illness, including severe disease. Aside from transient local and systemic reactions, no safety concerns were identified. (Funded by the Biomedical Advanced Research and Development Authority and the National Institute of Allergy and Infectious Diseases; COVE ClinicalTrials.gov number, NCT04470427.)

QUICK TAKEEfficacy and Safety of mRNA-1273 SARS-CoV-2 Vaccine 02:31


martes, 29 de diciembre de 2020

SalivaDirect: A simplified and flexible platform to enhance SARS-CoV-2 testing capacity: Med


SalivaDirect: A simplified and flexible platform to enhance SARS-CoV-2 testing capacity

Clinical and Translational Resource and Technology Insights|

Highlights

  • SalivaDirect is a simplified saliva-based test for detection of SARS-CoV-2
  • Testing framework is flexible to minimize the risk for supply chain issues
  • SalivaDirect is sensitive, with low rates of invalid and false positive results
  • Laboratories can be designated to use SalivaDirect to increase testing capacity

Summary

Background

Scaling SARS-CoV-2 testing to meet demands of safe reopenings continues to be plagued by assay costs and supply chain shortages. In response, we developed SalivaDirect, which received Emergency Use Authorization (EUA) from the U.S. FDA.

Methods

We simplified our saliva-based diagnostic test by (1) not requiring collection tubes with preservatives, (2) replacing nucleic acid extraction with a simple enzymatic and heating step, and (3) testing specimens with a dualplex RT-qPCR assay. Moreover, we validated SalivaDirect with reagents and instruments from multiple vendors to minimize supply chain issues.

Findings

From our hospital cohort, we show a high positive agreement (94%) between saliva tested with SalivaDirect and nasopharyngeal swabs tested with a commercial RT-qPCR kit. In partnership with the National Basketball Association and Players Association, we tested 3,779 saliva specimens from healthy individuals, and detected low rates of invalid (0.3%) and false positive (<0.05%) results.

Conclusions

We demonstrate that saliva is a valid alternative to swabs for SARS-CoV-2 screening, and that SalivaDirect can make large-scale testing more accessible and affordable. Uniquely, we can designate other laboratories to use our sensitive, flexible, and simplified platform under our EUA: HYPERLINK "https://publichealth.yale.edu/salivadirect/" \o "https://publichealth.yale.edu/salivadirect/" \h publichealth.yale.edu/salivadirect/.

Funding

This study was funded by the National Basketball Association and Players Association (NDG), Huffman Family Donor Advised Fund (NDG), Fast Grant from Emergent Ventures at the Mercatus Center at George Mason University (NDG), Yale Institute for Global Health (NDG), and Beatrice Kleinberg Neuwirth Fund (AIK). CBFV is supported by NWO Rubicon 019.181EN.004.

Graphical Abstract

Figure thumbnail fx1

Article Info

Publication History

Accepted: December 21, 2020
Received in revised form: December 14, 2020
Received: December 8, 2020

Publication stage

In Press Accepted Manuscript

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Household Transmission of SARS-CoV-2: A Systematic Review and Meta-analysis | Global Health | JAMA Network Open | JAMA Network


Household Transmission of SARS-CoV-2

Key Points

Question  What is the household secondary attack rate for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)?

Findings  In this meta-analysis of 54 studies with 77 758 participants, the estimated overall household secondary attack rate was 16.6%, higher than observed secondary attack rates for SARS-CoV and Middle East respiratory syndrome coronavirus. Controlling for differences across studies, secondary attack rates were higher in households from symptomatic index cases than asymptomatic index cases, to adult contacts than to child contacts, to spouses than to other family contacts, and in households with 1 contact than households with 3 or more contacts.

Meaning  These findings suggest that households are and will continue to be important venues for transmission, even in areas where community transmission is reduced.

Abstract

Importance  Crowded indoor environments, such as households, are high-risk settings for the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

Objectives  To examine evidence for household transmission of SARS-CoV-2, disaggregated by several covariates, and to compare it with other coronaviruses.

Data Source  PubMed, searched through October 19, 2020. Search terms included SARS-CoV-2 or COVID-19 with secondary attack rate, household, close contacts, contact transmission, contact attack rate, or family transmission.

Study Selection  All articles with original data for estimating household secondary attack rate were included. Case reports focusing on individual households and studies of close contacts that did not report secondary attack rates for household members were excluded.

Data Extraction and Synthesis  Meta-analyses were done using a restricted maximum-likelihood estimator model to yield a point estimate and 95% CI for secondary attack rate for each subgroup analyzed, with a random effect for each study. To make comparisons across exposure types, study was treated as a random effect, and exposure type was a fixed moderator. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline was followed.

Main Outcomes and Measures  Secondary attack rate for SARS-CoV-2, disaggregated by covariates (ie, household or family contact, index case symptom status, adult or child contacts, contact sex, relationship to index case, adult or child index cases, index case sex, number of contacts in household) and for other coronaviruses.

Results  A total of 54 relevant studies with 77 758 participants reporting household secondary transmission were identified. Estimated household secondary attack rate was 16.6% (95% CI, 14.0%-19.3%), higher than secondary attack rates for SARS-CoV (7.5%; 95% CI, 4.8%-10.7%) and MERS-CoV (4.7%; 95% CI, 0.9%-10.7%). Household secondary attack rates were increased from symptomatic index cases (18.0%; 95% CI, 14.2%-22.1%) than from asymptomatic index cases (0.7%; 95% CI, 0%-4.9%), to adult contacts (28.3%; 95% CI, 20.2%-37.1%) than to child contacts (16.8%; 95% CI, 12.3%-21.7%), to spouses (37.8%; 95% CI, 25.8%-50.5%) than to other family contacts (17.8%; 95% CI, 11.7%-24.8%), and in households with 1 contact (41.5%; 95% CI, 31.7%-51.7%) than in households with 3 or more contacts (22.8%; 95% CI, 13.6%-33.5%).

Conclusions and Relevance  The findings of this study suggest that given that individuals with suspected or confirmed infections are being referred to isolate at home, households will continue to be a significant venue for transmission of SARS-CoV-2.


Viral targets for vaccines against COVID-19 | Nature Reviews Immunology


Viral targets for vaccines against COVID-19

Nature Reviews Immunology (2020)Cite this article

Abstract

Vaccines are urgently needed to control the coronavirus disease 2019 (COVID-19) pandemic and to help the return to pre-pandemic normalcy. A great many vaccine candidates are being developed, several of which have completed late-stage clinical trials and are reporting positive results. In this Progress article, we discuss which viral elements are used in COVID-19 vaccine candidates, why they might act as good targets for the immune system and the implications for protective immunity.


lunes, 28 de diciembre de 2020

How well did Norwegian general practice prepare to address the COVID-19 pandemic? | Family Medicine and Community Health


How well did Norwegian general practice prepare to address the COVID-19 pandemic?

Key points

  • We aimed to describe and assess the quality improvement measures at the beginning of the COVID-19 pandemic in Norway.

  • We found that Norwegian general practitioners prepared well in all areas of Norway, despite different levels of prevalence of COVID-19.

  • It seems that Norwegian general practitioners rapidly reorganised their practices to adapt to the new setting, where hindering transmission of the virus was imperative.


Avances en gestión clínica: La confianza, ingrediente necesario para innovar

Avances en gestión clínica: La confianza, ingrediente necesario para innovar: Mònica Almiñana Caleidoscopio " Uno, la ciudanía no perdonará al presidente que oculte información sobre la salud que puede ayudar salv...

Avances en gestión clínica: Outcomes sí, pero atentos por donde pisamos

http://gestionclinicavarela.blogspot.com/2020/12/outcomes-si-pero-atentos-por-donde.html


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Afucosylated IgG characterizes enveloped viral responses and correlates with COVID-19 severity | Science

https://science.sciencemag.org/content/early/2020/12/22/science.abc8378.full


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sábado, 26 de diciembre de 2020

Antibody Status and Incidence of SARS-CoV-2 Infection in Health Care Workers | NEJM


Antibody Status and Incidence of SARS-CoV-2 Infection in Health Care Workers

Abstract

Background

The relationship between the presence of antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the risk of subsequent reinfection remains unclear.

Methods

We investigated the incidence of SARS-CoV-2 infection confirmed by polymerase chain reaction (PCR) in seropositive and seronegative health care workers attending testing of asymptomatic and symptomatic staff at Oxford University Hospitals in the United Kingdom. Baseline antibody status was determined by anti-spike (primary analysis) and anti-nucleocapsid IgG assays, and staff members were followed for up to 31 weeks. We estimated the relative incidence of PCR-positive test results and new symptomatic infection according to antibody status, adjusting for age, participant-reported gender, and changes in incidence over time.

Results

A total of 12,541 health care workers participated and had anti-spike IgG measured; 11,364 were followed up after negative antibody results and 1265 after positive results, including 88 in whom seroconversion occurred during follow-up. A total of 223 anti-spike–seronegative health care workers had a positive PCR test (1.09 per 10,000 days at risk), 100 during screening while they were asymptomatic and 123 while symptomatic, whereas 2 anti-spike–seropositive health care workers had a positive PCR test (0.13 per 10,000 days at risk), and both workers were asymptomatic when tested (adjusted incidence rate ratio, 0.11; 95% confidence interval, 0.03 to 0.44; P=0.002). There were no symptomatic infections in workers with anti-spike antibodies. Rate ratios were similar when the anti-nucleocapsid IgG assay was used alone or in combination with the anti-spike IgG assay to determine baseline status.

Conclusions

The presence of anti-spike or anti-nucleocapsid IgG antibodies was associated with a substantially reduced risk of SARS-CoV-2 reinfection in the ensuing 6 months. (Funded by the U.K. Government Department of Health and Social Care and others.)

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection produces detectable immune responses in most cases reported to date; however, the extent to which previously infected people are protected from a second infection is uncertain. Understanding whether postinfection immunity exists, how long it lasts, and the degree to which it may prevent symptomatic reinfection or reduce its severity has major implications for the SARS-CoV-2 pandemic.

Postinfection immunity may be conferred by humoral and cell-mediated immune responses. Key considerations when investigating postinfection immunity include identifying functional correlates of protection, identifying measurable surrogate markers, and defining end points, such as prevention of disease, hospitalization, death, or onward transmission.1

The assay-dependent antibody dynamics of SARS-CoV-2 anti-spike and anti-nucleocapsid antibodies are being defined.2-6 Neutralizing antibodies against the spike protein receptor-binding domain may provide some postinfection immunity. However, the association between antibody titers and plasma neutralizing activity is assay- and time-dependent.7-10

Evidence for postinfection immunity is emerging. Despite more than 76 million people infected worldwide and widespread ongoing transmission, reported reinfections with SARS-CoV-2 have been rare, occurring mostly after mild or asymptomatic primary infection,11-20 which suggests that SARS-CoV-2 infection provides some immunity against reinfection in most people. In addition, small-scale reports suggest that neutralizing antibodies may be associated with protection against infection.21 We performed a prospective longitudinal cohort study of health care workers to assess the relative incidence of subsequent positive SARS-CoV-2 polymerase-chain-reaction (PCR) tests and symptomatic infections in health care workers who were seropositive for SARS-CoV-2 antibodies and in those who were seronegative.

Methods

Cohort

Oxford University Hospitals offer SARS-CoV-2 testing to all symptomatic and asymptomatic staff working at four teaching hospitals in Oxfordshire, United Kingdom. SARS-CoV-2 PCR testing of combined nasal and oropharyngeal swab specimens for symptomatic staff (those with new persistent cough, temperature ≥37.8°C, or anosmia or ageusia) was offered beginning on March 27, 2020. Asymptomatic health care workers were invited to participate in voluntary nasal and oropharyngeal swab PCR testing every 2 weeks and serologic testing every 2 months (with some participating more frequently for related studies) beginning on April 23, 2020, as previously described.5,22 Staff were followed until November 30, 2020. Deidentified data were obtained from the Infections in Oxfordshire Research Database, which has generic research ethics committee, Health Research Authority, and Confidentiality Advisory Group approvals.

Laboratory Assays

Serologic investigations were performed with use of an anti-trimeric spike IgG enzyme-linked immunosorbent assay (ELISA), developed by the University of Oxford,23,24 and an anti-nucleocapsid IgG assay (Abbott). See the Supplementary Appendix, available with the full text of this article at NEJM.org, for details on the assays and PCR tests.

Statistical Analysis

We classified health care workers according to their baseline antibody status. Those with only negative antibody assays were considered to be at risk for infection from their first antibody assay until either the end of the study or their first PCR-positive test, whichever occurred earlier. Those with a positive antibody assay were considered to be at risk for infection (or reinfection) from 60 days after their first positive antibody result to either the end of the study or their next PCR-positive test, whichever occurred earlier, irrespective of subsequent seroreversion (i.e., any negative antibody assay occurring later). The 60-day window was prespecified to exclude persistence of PCR-positive RNA after the index infection that led to seroconversion, on the basis of earlier reports of RNA persistence for 6 weeks or more.22,25,26 Similarly, we considered only PCR-positive tests occurring at least 60 days after the previous PCR-positive test.

We used Poisson regression to model the incidence of PCR-positive infection per at-risk day according to baseline antibody status, adjusting for incidence over time, age, and participant-reported gender. Primary analyses used anti-spike IgG assay results, which were expected before the start of the study to be more closely related to neutralizing activity and protection from infection.7,10 We also investigated anti-nucleocapsid antibody assay results and a combined model with three baseline antibody statuses (both assays negative, both positive, or only one positive). Sensitivity analyses investigated the effect of different asymptomatic testing rates according to antibody status and different follow-up windows (see the Supplementary Appendix).

Results

Baseline Anti-Spike IgG Assays and PCR Testing Rates

Demographic Characteristics and SARS-CoV-2 PCR Testing for 12,541 Health Care Workers According to SARS-CoV-2 Anti-Spike IgG Status.

A total of 12,541 health care workers underwent measurement of baseline anti-spike antibodies; 11,364 (90.6%) were seronegative and 1177 (9.4%) seropositive at their first anti-spike IgG assay, and seroconversion occurred in 88 workers during the study (, and Fig. S1A in the Supplementary Appendix). Of 1265 seropositive health care workers, 864 (68%) recalled having had symptoms consistent with those of coronavirus disease 2019 (Covid-19), including symptoms that preceded the widespread availability of PCR testing for SARS-CoV-2; 466 (37%) had had a previous PCR-confirmed SARS-CoV-2 infection, of which 262 were symptomatic. Fewer seronegative health care workers (2860 [25% of the 11,364 who were seronegative]) reported prebaseline symptoms, and 24 (all symptomatic, 0.2%) were previously PCR-positive. The median age of seronegative and seropositive health care workers was 38 years (interquartile range, 29 to 49). Health care workers were followed for a median of 200 days (interquartile range, 180 to 207) after a negative antibody test and for 139 days at risk (interquartile range, 117 to 147) after a positive antibody test.

Rates of symptomatic PCR testing were similar in seronegative and seropositive health care workers: 8.7 and 8.0 tests per 10,000 days at risk, respectively (rate ratio, 0.92; 95% confidence interval [CI], 0.77 to 1.10). A total of 8850 health care workers had at least one postbaseline asymptomatic screening test; seronegative health care workers attended asymptomatic screening more frequently than seropositive health care workers (141 vs. 108 per 10,000 days at risk, respectively; rate ratio, 0.76; 95% CI, 0.73 to 0.80).

Incidence of PCR-Positive Results According to Baseline Anti-Spike IgG Status

Positive baseline anti-spike antibody assays were associated with lower rates of PCR-positive tests. Of 11,364 health care workers with a negative anti-spike IgG assay, 223 had a positive PCR test (1.09 per 10,000 days at risk), 100 during asymptomatic screening and 123 while symptomatic. Of 1265 health care workers with a positive anti-spike IgG assay, 2 had a positive PCR test (0.13 per 10,000 days at risk), and both workers were asymptomatic when tested. The incidence rate ratio for positive PCR tests in seropositive workers was 0.12 (95% CI, 0.03 to 0.47; P=0.002). The incidence of PCR-confirmed symptomatic infection in seronegative health care workers was 0.60 per 10,000 days at risk, whereas there were no confirmed symptomatic infections in seropositive health care workers. No PCR-positive results occurred in 24 seronegative, previously PCR-positive health care workers; seroconversion occurred in 5 of these workers during follow-up.

Observed Incidence of SARS-CoV-2–Positive PCR Results According to Baseline Anti-Spike IgG Antibody Status.

Incidence varied by calendar time (), reflecting the first (March through April) and second (October and November) waves of the pandemic in the United Kingdom, and was consistently higher in seronegative health care workers. After adjustment for age, gender, and month of testing (Table S1) or calendar time as a continuous variable (Fig. S2), the incidence rate ratio in seropositive workers was 0.11 (95% CI, 0.03 to 0.44; P=0.002). Results were similar in analyses in which follow-up of both seronegative and seropositive workers began 60 days after baseline serologic assay; with a 90-day window after positive serologic assay or PCR testing; and after random removal of PCR results for seronegative health care workers to match asymptomatic testing rates in seropositive health care workers (Tables S2 through S4). The incidence of positive PCR tests was inversely associated with anti-spike antibody titers, including titers below the positive threshold (P<0.001 for trend) (Fig. S3A).

Anti-Nucleocapsid IgG Status

With anti-nucleocapsid IgG used as a marker for prior infection in 12,666 health care workers (Fig. S1B and Table S5), 226 of 11,543 (1.10 per 10,000 days at risk) seronegative health care workers tested PCR-positive, as compared with 2 of 1172 (0.13 per 10,000 days at risk) antibody-positive health care workers (incidence rate ratio adjusted for calendar time, age, and gender, 0.11; 95% CI, 0.03 to 0.45; P=0.002) (Table S6). The incidence of PCR-positive results fell with increasing anti-nucleocapsid antibody titers (P<0.001 for trend) (Fig. S3B).

A total of 12,479 health care workers had both anti-spike and anti-nucleocapsid baseline results (Fig. S1C and Tables S7 and S8); 218 of 11,182 workers (1.08 per 10,000 days at risk) with both immunoassays negative had subsequent PCR-positive tests, as compared with 1 of 1021 workers (0.07 per 10,000 days at risk) with both baseline assays positive (incidence rate ratio, 0.06; 95% CI, 0.01 to 0.46) and 2 of 344 workers (0.49 per 10,000 days at risk) with mixed antibody assay results (incidence rate ratio, 0.42; 95% CI, 0.10 to 1.69).

Seropositive Health Care Workers with PCR-Positive Results

Demographic, Clinical, and Laboratory Characteristics of Health Care Workers with Possible SARS-CoV-2 Reinfection.

Three seropositive health care workers subsequently had PCR-positive tests for SARS-CoV-2 infection (one with anti-spike IgG only, one with anti-nucleocapsid IgG only, and one with both antibodies). The time between initial symptoms or seropositivity and subsequent positive PCR testing ranged from 160 to 199 days. Information on the workers' clinical histories and on PCR and serologic testing results is shown in and Figure S4.

Only the health care worker with both antibodies had a history of PCR-confirmed symptomatic infection that preceded serologic testing; after five negative PCR tests, this worker had one positive PCR test (low viral load: cycle number, 21 [approximate equivalent cycle threshold, 31]) at day 190 after infection while the worker was asymptomatic, with subsequent negative PCR tests 2 and 4 days later and no subsequent rise in antibody titers. If this worker's single PCR-positive result was a false positive, the incidence rate ratio for PCR positivity if anti-spike IgG–seropositive would fall to 0.05 (95% CI, 0.01 to 0.39) and if anti-nucleocapsid IgG–seropositive would fall to 0.06 (95% CI, 0.01 to 0.40).

A fourth dual-seropositive health care worker had a PCR-positive test 231 days after the worker's index symptomatic infection, but retesting of the worker's sample was negative twice, which suggests a laboratory error in the original PCR result. Subsequent serologic assays showed waning anti-nucleocapsid and stable anti-spike antibodies.

Discussion

In this longitudinal cohort study, the presence of anti-spike antibodies was associated with a substantially reduced risk of PCR-confirmed SARS-CoV-2 infection over 31 weeks of follow-up. No symptomatic infections and only two PCR-positive results in asymptomatic health care workers were seen in those with anti-spike antibodies, which suggests that previous infection resulting in antibodies to SARS-CoV-2 is associated with protection from reinfection for most people for at least 6 months. Evidence of postinfection immunity was also seen when anti-nucleocapsid IgG or the combination of anti-nucleocapsid and anti-spike IgG was used as a marker of previous infection.

The incidence of SARS-CoV-2 infection was inversely associated with baseline anti-spike and anti-nucleocapsid antibody titers, including titers below the positive threshold for both assays, such that workers with high "negative" titers were relatively protected from infection. In addition to the 24 seronegative health care workers with a previous positive PCR test, it is likely that other health care workers with baseline titers below assay thresholds, which were set to ensure high specificity,23 had been previously infected with SARS-CoV-2 and had low peak postinfection titers or rising or waning responses at testing.5

Two of the three seropositive health care workers who had subsequent PCR-positive tests had discordant baseline antibody results, a finding that highlights the imperfect nature of antibody assays as markers of previous infection. Neither worker had a PCR-confirmed primary SARS-CoV-2 infection. Subsequent symptomatic infection developed in one worker, and both workers had subsequent dual antibody seroconversion. It is plausible that one or both had false positive baseline antibody results (e.g., from immunoassay interference27). The health care worker in whom both anti-spike and anti-nucleocapsid antibodies were detected had previously had PCR-confirmed SARS-CoV-2 infection; the subsequent PCR-positive result with a low viral load was not confirmed on repeat testing and was not associated with a change in IgG response. These results could be consistent with a reexposure to SARS-CoV-2 that did not lead to symptoms but could also plausibly have arisen from undetected laboratory error; although contemporaneous retesting of the PCR-positive sample was not undertaken, samples tested 2 and 4 days later were both negative. If the PCR-positive result is incorrect, the incidence rate ratio for PCR positivity if anti-spike IgG–seropositive would fall to 0.05. We detected and did not include in our analysis a presumed false positive PCR test in a fourth seropositive health care worker.

Owing to the low number of reinfections in seropositive health care workers, we cannot say whether past seroconversion or current antibody levels determine protection from infection or define which characteristics are associated with reinfection. Similarly, we cannot say whether protection is conferred through the antibodies we measured or through T-cell immunity, which we did not assess. It was not possible to use sequencing to compare primary and subsequent infections, since only one of the three seropositive health care workers with a subsequent PCR-positive test had PCR-confirmed primary infection and that worker's original sample was not stored. Our study was relatively short, with up to 31 weeks of follow-up. Ongoing follow-up is needed in this and other cohorts, including the use of markers of both humoral and cellular immunity to SARS-CoV-2, to assess the magnitude and duration of protection from reinfection, symptomatic disease, and hospitalization or death and the effect of protection on transmission.

Health care workers were enrolled in a voluntary testing program with a flexible follow-up schedule, which led to different attendance frequencies. Although health care workers were offered asymptomatic PCR testing every 2 weeks, the workers attended less frequently than that (mean, once every 10 to 13 weeks). Therefore, asymptomatic infection is likely to have been underascertained. In addition, as staff were told their antibody results, "outcome ascertainment bias" occurred, with seropositive staff attending asymptomatic screening less frequently. However, a sensitivity analysis suggests that the differing attendance rates did not substantially alter our findings. Staff were told to follow guidance on social distancing and use of personal protective equipment and to attend testing if Covid-19 symptoms developed, even if the worker had been previously PCR- or antibody-positive. This is reflected in the similar rates of testing of symptomatic seropositive and seronegative health care workers.

Some health care workers were lost to follow-up after terminating employment at our hospitals; this was likely to have occurred at similar rates in seropositive and seronegative staff. Not all PCR-positive results from government symptomatic testing sites were communicated to the hospital. This is a study of predominantly healthy adult health care workers 65 years of age or younger; further studies are needed to assess postinfection immunity in other populations, including children, older adults, and persons with coexisting conditions, including immunosuppression.

In this study, we found a substantially lower risk of reinfection with SARS-CoV-2 in the short term among health care workers with anti-spike antibodies and those with anti-nucleocapsid antibodies than among those who were seronegative.

Supported by the U.K. Government Department of Health and Social Care; the National Institute for Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Oxford University, in partnership with Public Health England (NIHR200915); the NIHR Biomedical Research Centre (BRC), Oxford; and benefactions from the Huo Family Foundation and Andrew Spokes. This study is affiliated with Public Health England's SARS-CoV-2 Immunity and Reinfection Evaluation (SIREN) study. Dr. Eyre is a Robertson Foundation Fellow and an NIHR Oxford BRC Senior Fellow; Dr. Lumley is a Wellcome Trust Clinical Research Fellow; Prof. Stuart's work is supported by the Medical Research Council (MR/N00065X/1); Dr. Matthews holds a Wellcome Intermediate Fellowship (110110/Z/15/Z); Dr. Marsden's work is supported by the Kennedy Trust for Rheumatology Research and by the SGC, a registered charity (no. 1097737) that receives funds from AbbVie, Bayer Pharma, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute (OGI-055), Innovative Medicines Initiative (EU/EFPIA) (ULTRA-DD grant no. 115766), Janssen, Merck, Darmstadt, Germany, MSD, Novartis Pharma, Pfizer, São Paulo Research Foundation (FAPESP), Takeda, and Wellcome. Prof. Screaton is a Wellcome Trust Senior Investigator with funding from the Schmidt Foundation; Dr. Timothy Walker is a Wellcome Trust Clinical Career Development Fellow (214560/Z/18/Z); and Prof. A. Sarah Walker is an NIHR Senior Investigator.

Disclosure forms provided by the authors are available with the full text of this article at NEJM.org.

The views expressed in this article are those of the authors and not necessarily those of the National Health Service, the National Institute for Health Research, the Department of Health, or Public Health England.

This article was published on December 23, 2020, at NEJM.org.

We thank all Oxford University Hospitals personnel who participated in the staff testing program and the staff and medical students who ran the program. This study uses data provided by health care workers and collected by the U.K. National Health Service as part of their care and support. We thank additional members of the Infections in Oxfordshire Research Database team: L. Butcher, H. Boseley, C. Crichton, O. Freeman, J. Gearing (community), R. Harrington, M. Landray, A. Pal, T.P. Quan, J. Robinson (community), J. Sellors, B. Shine, and D. Waller; and the patient and public panel: G. Blower, C. Mancey, P. McLoughlin, and B. Nichols.

Author Affiliations

From Oxford University Hospitals NHS Foundation Trust (S.F.L., N.E.S., P.C.M., S.C., T.J., F.W., L.W., D.A., A.-M.O., K.J.), Nuffield Department of Medicine (S.F.L., D.O., N.E.S., P.C.M., A.H., S.B.H., B.D.M., R.J.C., E.Y.J., D.I.S., G.S., D.E., S. Hoosdally, D.W.C., C.P.C., A.S.W., T.E.A.P., T.M.W.), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (N.E.S., P.C.M., S. Hoosdally, D.W.C., A.S.W., T.E.A.P., D.W.E.), the Kennedy Institute of Rheumatology Research (B.D.M.), the Medical School, University of Oxford (L.J.P., T.G.R., Z.T.), Target Discovery Institute (D.E.), Nuffield Department of Population Health (A.-M.O., K.B.P., D.W.E.), and the Big Data Institute (D.W.E.), University of Oxford, and the NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England (N.E.S., P.C.M., S. Hoosdally, D.W.C., K.B.P., A.S.W., T.E.A.P., D.W.E.), Oxford, and the National Infection Service, Public Health England at Colindale, London (M.C., S. Hopkins) — all in the United Kingdom; and the Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam (T.M.W.).

Address reprint requests to Dr. Eyre at the Microbiology Department, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, United Kingdom, or at david.eyre@bdi.ox.ac.uk.

A complete list of members of the Oxford University Hospitals Staff Testing Group is provided in the Supplementary Appendix, available at NEJM.org.

Supplementary Material