Serologic testing captures missed children at risk for long Covid

Children with coronavirus disease 2019 (COVID-19), or those who have been infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), may have prolonged symptoms such as headache, fatigue, brain fog or chest pain, for weeks to months following resolution of the acute attack.

The asymptomatic nature of the majority of infections makes it difficult to distinguish long Covid, or post-acute sequelae of COVID-19 (PASC) from several other illnesses of childhood.

Study: Leveraging serology testing to identify children at risk for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the RECOVER program. Image Credit: L Julia/Shutterstock
Study: Leveraging serology testing to identify children at risk for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the RECOVER program. Image Credit: L Julia/Shutterstock

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

A new multicenter study, posted on the medRxiv* preprint server, provides evidence of the utility of serologic testing in helping to pick up children with long Covid following missed diagnoses of COVID-19, thus helping to establish the burden of PASC in this subset of the population.

Introduction

The diagnosis of COVID-19 became a matter of intensive research once the disease began to leap across states and international boundaries, causing millions of cases worldwide. While the gold standard diagnostic test remains the reverse transcriptase polymerase chain reaction (RT PCR), serologic testing was also widely employed, especially at the population level, to help quantify the number of prior infections after acute infections had long been resolved.

The advantages of serologic testing include the ability to diagnose conditions that follow on from acute SARS-CoV-2 infection, namely, PASC and multisystem inflammatory syndrome in children (MISC), without a positive PCR result. Yet, antibody testing presents its own difficulties.

The use of multiple assays, based on different platforms, and measuring the rise in different immunoglobulin (Ig) classes, makes direct comparisons difficult. Secondly, the antibodies measured are induced by different viral antigens, either the spike (S) or nucleocapsid (N) proteins. Anti-S antigens may be raised either by exposure to the virus or following vaccination of the child with a COVID-19 vaccine.

Therefore, only IgG anti-N antibodies can be taken to represent past infection. with this in mind, the researchers in the current study looked at electronic healthcare records (EHR) from multiple large pediatric healthcare centers, via the PEDSnet database. Their aim was to come up with an algorithm that could identify children who had prior or present SARS-CoV-2 infection solely by serology, based on these records.

The study was part of the Researching COVID to Enhance Recovery Initiative (RECOVER) by the National Institutes of Health (NIH), and its results could help identify paucisymptomatic children who were not tested during earlier waves of the pandemic.

Findings

The researchers found over 1 million pediatric tests, serologic and PCR, in PEDSnet. Of these, over a half had multiple PCR tests, and over 3,000 had multiple serology tests, during the study period from March 1, 2020 through April 20, 2022. The most commonly used tests identified non-specific IgG antibodies, at 40%, or anti-N IgG antibodies. Next came IgM, in about one in seven tests, with anti-S or anti-RBD tests, and non-specific IgA tests, comprising less than a tenth.

IgM antibody testing peaked in early 2020, but anti-S/RBD IgG was used more heavily after adolescent vaccination was approved at the end of 2020. Serologic testing was highest during the Omicron wave, from December 2021 to February 2022.

Anti-N IgG and IgM antibody test positivity rates followed SARS-CoV-2 infection rates, while anti-S test positivity showed sharp increases in older pediatric age groups (12-15 and >16 years) after vaccines were approved for that age group.

The researchers found over 2,700 children who had no PCR positives but were positive by serology, out of over 134,000 children with a positive test for the virus by PCR and/or serologic testing. The former was more likely to be White non-Hispanic, and about a quarter were 12-15 years old. Most (>75%) PCR-positive patients were tested as outpatients, but among serology-alone children, the numbers were almost equally split between inpatients and outpatients.

Almost 40% had a chronic underlying condition compared with those who were PCR-positive, at ~25%. Of special note, complex medical conditions were present in over one in four serology-tested children vs just over a tenth of PCR-positive children. MISC was diagnosed in a quarter of children picked up only by serology, vs <1% of PCR-positives, possibly indicating the situation that prompted the test.

While almost three in four children with a positive PCR had been diagnosed with COVID-19, this was true of less than half of the serology-positive cases.

Implications

The results of this retrospective study show that serologic testing in children follows far behind PCR. Identifying a group of children who tested positive for the infection only by serology using EHRs, the scientists found a higher rate of inpatient testing and of MISC, with other medical conditions also being more common.

Serology tests are mostly positive only two or more weeks from symptom onset, which is why they are not used to diagnose the acute infection. However, when a child does not have any, or severe, symptoms of COVID-19, serology may pick up signs of the past infection if it results in PASC or MISC.

The estimates of SARS-CoV-2 infection among children in the USA indicate that almost three-quarters have been infected, which is not reflected in the number of serologic tests found in this study, using data from some of the largest children’s facilities in the country. In other words, the researchers say,

the number of SARS-CoV-2 infected children is significantly greater than those captured in healthcare systems, and the numbers identified in our study likely represent the tip of the iceberg.”

This being so, and with the confusing and often subtle manifestations of long Covid, the actual incidence of these long-term sequelae among children is difficult to measure. The current study is an attempt to understand how far serologic testing for SARS-CoV-2 is useful in this situation, and the extent of its use.

This work is necessary to capture relevant cohorts that will allow us to examine the presentation, risk, and burden of PASC in children.”

Further study will be required to understand the full range of PASC manifestations in children, pending a much better reporting system for SARS-CoV-2, using uniform and accurate parameters to allow proper accrual and analysis of data. While this study probably underestimated the true incidence of COVID-19 by excluding those with anti-S/RBD positives, in order to avoid vaccination-induced positive testing, this will be corrected in future studies by including data on childhood vaccination as well.

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

Journal references:

Article Revisions

  • May 13 2023 - The preprint preliminary research paper that this article was based upon was accepted for publication in a peer-reviewed Scientific Journal. This article was edited accordingly to include a link to the final peer-reviewed paper, now shown in the sources section.
Dr. Liji Thomas

Written by

Dr. Liji Thomas

Dr. Liji Thomas is an OB-GYN, who graduated from the Government Medical College, University of Calicut, Kerala, in 2001. Liji practiced as a full-time consultant in obstetrics/gynecology in a private hospital for a few years following her graduation. She has counseled hundreds of patients facing issues from pregnancy-related problems and infertility, and has been in charge of over 2,000 deliveries, striving always to achieve a normal delivery rather than operative.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Thomas, Liji. (2023, May 13). Serologic testing captures missed children at risk for long Covid. News-Medical. Retrieved on November 25, 2024 from https://www.news-medical.net/news/20220624/Serologic-testing-captures-missed-children-at-risk-for-long-Covid.aspx.

  • MLA

    Thomas, Liji. "Serologic testing captures missed children at risk for long Covid". News-Medical. 25 November 2024. <https://www.news-medical.net/news/20220624/Serologic-testing-captures-missed-children-at-risk-for-long-Covid.aspx>.

  • Chicago

    Thomas, Liji. "Serologic testing captures missed children at risk for long Covid". News-Medical. https://www.news-medical.net/news/20220624/Serologic-testing-captures-missed-children-at-risk-for-long-Covid.aspx. (accessed November 25, 2024).

  • Harvard

    Thomas, Liji. 2023. Serologic testing captures missed children at risk for long Covid. News-Medical, viewed 25 November 2024, https://www.news-medical.net/news/20220624/Serologic-testing-captures-missed-children-at-risk-for-long-Covid.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Futuristic AI-powered virtual lab designs potent SARS-CoV-2 nanobodies