Pediatric and Adult Patients with ME/CFS following COVID-19: A Structured Approach to Diagnosis Using the Munich Berlin Symptom Questionnaire (MBSQ)

Abstract:

Purpose A subset of patients with post-COVID-19 condition (PCC) fulfill the clinical criteria of myalgic encephalomyelitis / chronic fatigue syndrome (ME/CFS). To establish the diagnosis of ME/CFS for clinical and research purposes, comprehensive scores have to be evaluated.

Methods We developed the Munich Berlin Symptom Questionnaires (MBSQs) and supplementary scoring sheets (SSSs) to allow for a rapid evaluation of common ME/CFS case definitions. The MBSQs were applied to young patients with chronic fatigue and post-exertional malaise (PEM) who presented to the MRI Chronic Fatigue Center for Young People (MCFC). Trials were retrospectively registered (NCT05778006NCT05638724).

Results Using the MBSQs and SSSs, we report on ten patients aged 11 to 25 years diagnosed with ME/CFS after asymptomatic SARS-CoV-2 infection or mild to moderate COVID-19. Results from their MBSQs and from well-established patient-reported outcome measures indicated severe impairments of daily activities and health-related quality of life.

Conclusions ME/CFS can follow SARS-CoV-2 infection in patients younger than 18 years, rendering structured diagnostic approaches most relevant for pediatric PCC clinics. The MBSQs and SSSs represent novel diagnostic tools that can facilitate the diagnosis of ME/CFS in children, adolescents, and adults with PCC and other post-viral syndromes.

What is known ME/CFS is a frequent debilitating illness. For diagnosis, an extensive differential diagnostic workup is required and the evaluation of clinical ME/CFS criteria. ME/CFS following COVID-19 has been reported in adults but not in pediatric patients younger than 19 years of age.

What is new We present novel questionnairs (MBSQs), as tools to assess common ME/CFS case definitions in pediatric and adult patients with post-COVID-19 condition and beyond. We report on ten patients aged 11 to 25 years diagnosed with ME/CFS following asymptomatic SARS-CoV-2 infection or mild to moderate COVID-19.

Source: Laura C. Peo, Katharina Wiehler, Johannes Paulick, Katrin Gerrer, Ariane Leone, Anja Viereck, Matthias Haegele, Silvia Stojanov, Cordula Warlitz, Silvia Augustin, Martin Alberer, Daniel B. R. Hattesohl, Laura Froehlich, Carmen Scheibenbogen, Lorenz Mihatsch, Rafael Pricoco, Uta Behrends. Pediatric and Adult Patients with ME/CFS following COVID-19: A Structured Approach to Diagnosis Using the Munich Berlin Symptom Questionnaire (MBSQ). https://www.medrxiv.org/content/10.1101/2023.08.23.23293081v1.full-text (Full text)

Modeling Long Covid Disease Network in Pediatric Population

Abstract:

The effects of COVID-19 have had a tremendous impact on the quality of life, work, and society. This has been exacerbated by the progression of COVID-19 into Long COVID. Long COVID is not a specific disease or symptom but a set of wide-ranging conditions that linger in COVID-19 patients for four weeks or beyond post-initial COVID-19 detection. This relatively new condition is challenging due to a lack of prior research and data specific to the pediatric population, comprising 25.24% of all Long COVID cases under study.

Besides, there is a lack of deeper understanding about who may develop Long COVID. Various comorbidities could provide insights into the path leading toward a patient’s Long COVID detection, as referenced in Berg et al. (2022). Thus, we address two research questions in our study. First, what chronic co-morbidities are prevalent in pediatric patients exhibiting Long COVID symptoms? Second, what nonchronic conditions are  associated with pediatric patients diagnosed with Long COVID?

To delve into the research questions, we use 80,000 Long COVID pediatric patients N3C (National COVID Cohort Collaboration) data across 72 healthcare units located in the US. The model we developed has 3 stages – First, we apply network analytics techniques to identify pre-existing chronic and non-chronic conditions among those diagnosed with Long COVID. Second, using CDC’s definition for Long COVID, we develop a bi-partite network representing a large pediatric population diagnosed with COVID-19 who subsequently developed Long-COVID. This bipartite network has patients on one side and diseases on the other with no connection among the patients and among the diseases. We take projection on the disease side to create disease-disease projection graph. Third, the projected disease-disease graph is processed such that we create bipartite network comprising pre-COVID diseases on one side and Long COVID diseases on the other side. We take the projection of both sides to carry out analysis regarding chronic and non-chronic pre-COVID conditions leading to Long COVID.

The above model was implemented using 0.5 million pediatric COVID patient dataset from the N3C (2020). Besides using Spark SQL and PySpark to analyze the data, we used graphical tools such as Gephi to integrate Community Detection algorithms and create visualizations. Since the size of the overall patient record is large, it necessitated implementation of various code optimization techniques for faster processing. This study provides critical building blocks for developing Long COVID prediction and recommendation systems models

Source: Kushagra, Kushagra; joghataee, mohammad; Gupta, Ashish; Kalgotra, Pankush; and Qin, Xiao, “Modeling Long Covid Disease Network in Pediatric Population” (2023). AMCIS 2023 TREOs. 107. https://aisel.aisnet.org/treos_amcis2023/107

Increased SARS-CoV-2 reactive low avidity T cells producing inflammatory cytokines in pediatric post-acute COVID-19 sequelae (PASC)

Abstract:

Background: A proportion of the convalescent SARS-CoV-2 pediatric population presents nonspecific symptoms, mental health problems and a reduction in quality of life similar to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID-19 symptomatic. However, data regarding its clinical manifestation and immune mechanisms are currently scarce.

Methods: In this study, we perform a comprehensive clinical and immunological profiling of 17 convalescent COVID-19 children with post-acute COVID-19 sequelae (PASC) manifestation and 13 convalescent children without PASC manifestation. A detailed medical history, blood and instrumental tests and physical examination were obtained from all patients. SARSCoV-2 reactive T cell response was analyzed via multiparametric flowcytometry and the humoral immunity was addressed via pseudovirus neutralization and ELISA assay.

Results: The most common PASC symptoms were shortness of breath/exercise intolerance, paresthesia, smell/taste disturbance, chest pain, dyspnea, headache and lack of concentration. Blood count and clinical chemistry showed no statistical differences among the study groups. We detected higher frequencies of spike (S) reactive CD4+ and CD8+ T cells among the PASC study group, characterized by TNFα and IFNγ production and low functional avidity. CRP levels are positively correlated with IFNγ producing reactive CD8+ T cells.

Conclusions: Our data might indicate a possible involvement of a persistent cellular inflammatory response triggered by SARS-CoV-2 in the development of the observed sequelae in pediatric PASC. These results may have implications on future therapeutic and prevention strategies.

Source: Krystallenia Paniskaki, et al. Increased SARS-CoV-2 reactive low avidity T cells producing inflammatory cytokines in pediatric post-acute COVID-19 sequelae (PASC) https://d197for5662m48.cloudfront.net/documents/publicationstatus/144335/preprint_pdf/a855de5e766f9457795050e56413075a.pdf (Full text)

Pediatric de novo movement disorders and ataxia in the context of SARS-CoV-2

Abstract:

Objective: In the fourth year of the COVID-19 pandemic, mortality rates decreased, but the risk of neuropsychiatric disorders remained the same, with a prevalence of 3.8% of pediatric cases, including movement disorders (MD) and ataxia.

Methods: In this study, we report on a 10-year-old girl with hemichorea after SARS-CoV-2 infection and immunostained murine brain with patient CSF to identify intrathecal antibodies. Additionally, we conducted a scoping review of children with MD and ataxia after SARS-CoV-2 infection.

Results: We detected antibodies in the patient’s CSF binding unknown antigens in murine basal ganglia. The child received immunosuppression and recovered completely. In a scoping review, we identified further 32 children with de novo MD or ataxia after COVID-19. While in a minority of cases, MD or ataxia were a symptom of known clinical entities (e.g. ADEM, Sydenham’s chorea), in most children, the etiology was suspected to be of autoimmune origin without further assigned diagnosis. (i) Children either presented with ataxia (79%), but different from the well-known postinfectious acute cerebellar ataxia (older age, less favorable outcome, or (ii) had hypo-/hyperkinetic MD (21%), which were choreatic in most cases. Besides 14% of spontaneous recovery, immunosuppression was necessary in 79%. Approximately one third of children only partially recovered.

Conclusions: Infection with SARS-CoV-2 can trigger de novo MD in children. Most patients showed COVID-19-associated-ataxia and fewer-chorea. Our data suggest that patients benefit from immunosuppression, especially steroids. Despite treatment, one third of patients recovered only partially, which makes up an increasing cohort with neurological sequelae.

Source: Wilpert NM, de Almeida Marcelino AL, Knierim E, Incoronato P, Sanchez-Sendin E, Staudacher O, Drenckhahn A, Bittigau P, Kreye J, Prüss H, Schuelke M, Kühn AA, Kaindl AM, Nikolaus M. Pediatric de novo movement disorders and ataxia in the context of SARS-CoV-2. J Neurol. 2023 Jul 29. doi: 10.1007/s00415-023-11853-5. Epub ahead of print. PMID: 37515734. https://link.springer.com/article/10.1007/s00415-023-11853-5 (Full text)

A Systematic Review of Persistent Clinical Features After SARS-CoV-2 in the Pediatric Population

Abstract:

Context: Long-term health effects after coronavirus disease 2019 (COVID-19) have been increasingly reported but their prevalence and significance in the pediatric population remains uncertain.

Objective: To present the prevalence and characteristics of the long-term clinical features of COVID-19 (long COVID) in the global pediatric population.

Data sources: PubMed, Embase, Web of Science, Cochrane Library, WHO COVID-19 database, google scholar, medRxiv, bioRxiv, and multiple national public health databases.

Study selection: Published articles and preprints from December, 2019 to December, 2022 investigating the epidemiology and characteristics of persistent clinical features at least 3 months after COVID-19 in children and adolescents (0-19 years old) were included.

Data extraction: Study characteristics and detailed description of long COVID were extracted into a predefined form.

Results: Twenty seven cohorts and 4 cross-sectional studies met the inclusion criteria and involved over 15 000 pediatric participants. A total of more than 20 persistent symptoms and clinical features were reported among children and adolescents. 16.2% (95% confidence interval 8.5% to 28.6%) of the pediatric participants experienced 1 or more persistent symptom(s) at least 3 months post COVID-19. Female gender might be associated with developing certain long COVID symptoms.

Limitations: Included studies presented with great heterogeneity because of significant variations in the definition of “long COVID,” follow up duration, and method. There could be nonresponse and other potential bias.

Conclusions: Persistent clinical features beyond 3 months among children and adolescents with proven COVID-19 are common and the symptom spectrum is wide. High-quality, prospective studies with proper controls are necessary in the future.

Source: Jiang L, Li X, Nie J, Tang K, Bhutta ZA. A Systematic Review of Persistent Clinical Features After SARS-CoV-2 in the Pediatric Population. Pediatrics. 2023 Aug 1;152(2):e2022060351. doi: 10.1542/peds.2022-060351. PMID: 37476923; PMCID: PMC10389775. https://pubmed.ncbi.nlm.nih.gov/37476923/

The Impact of Post-COVID-19 Syndrome in Adolescents: A Pilot Study

Abstract:

Background: Post-COVID-19 syndrome has emerged as a long-term complication in adults and children; its effect on adolescents’ performance in school is not well studied.

Objectives: To study the physical/psychological impact of prolonged post-COVID-19 symptoms on school performance.

Methods: This is a cross-sectional study using Google Forms, a web-based fully anonymized survey of children in grades 10-12.

Results: The study included 54 students with a mean age of 16 years of whom 32 had COVID-19. Two were hospitalized and 10 had symptoms lasting more than four weeks. Commonly reported chronic symptoms were fatigue and cough. Seven students quit sports; eight had a decrease in their academic performance. Adolescents being infected more than once or not being fully vaccinated were more likely to develop prolonged symptoms and quit sports while academic performance in school was not affected. Three out of 10 (30%) students who had COVID-19 and responded to the questionnaire reported not seeking help.

Conclusion: Post-COVID-19 syndrome is associated with a decline in physical but not mental performance in school. Being infected more than once with SARS-CoV-2 seems to play an important role in the persistence of post-COVID-19 symptoms despite the fact that some adolescents are hesitant to seek medical or psychological care.

Source: El Khoury J, Skoury M, El Khoury MY. The Impact of Post-COVID-19 Syndrome in Adolescents: A Pilot Study. Cureus. 2023 Jun 19;15(6):e40655. doi: 10.7759/cureus.40655. PMID: 37476124; PMCID: PMC10356177. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356177/ (Full text)

Multisystem inflammatory syndrome in children (MIS-C): Implications for long COVID

Abstract:

The COVID-19 pandemic caused by the coronavirus 2 of the severe acute respiratory syndrome (SARS-CoV-2) has significantly affected people around the world, leading to substantial morbidity and mortality. Although the pandemic has affected people of all ages, there is increasing evidence that children are less susceptible to SARS-CoV-2 infection and are more likely to experience milder symptoms than adults. However, children with COVID-19 can still develop serious complications, such as multisystem inflammatory syndrome in children (MIS-C).

This narrative review of the literature provides an overview of the epidemiology and immune pathology of SARS-CoV-2 infection and MIS-C in children. The review also examines the genetics of COVID-19 and MIS-C in children, including the genetic factors that can influence the susceptibility and severity of the diseases and their implications for personalized medicine and vaccination strategies.

By examining current evidence and insights from the literature, this review aims to contribute to the development of effective prevention and treatment strategies for COVID-19, MIS-C, and long COVID syndromes in children.

Source: Constantin T, Pék T, Horváth Z, Garan D, Szabó AJ. Multisystem inflammatory syndrome in children (MIS-C): Implications for long COVID. Inflammopharmacology. 2023 Jul 17. doi: 10.1007/s10787-023-01272-3. Epub ahead of print. PMID: 37460909. https://link.springer.com/article/10.1007/s10787-023-01272-3 (Full text)

Viral persistence in children infected with SARS-CoV-2: current evidence and future research strategies

Summary:

In this Personal View, we discuss current knowledge on SARS-CoV-2 RNA or antigen persistence in children infected with SARS-CoV-2. Based on the evidence that the virus can persist in adults, we have done a literature review and analysed studies that looked for SARS-CoV-2 RNA or antigens in children undergoing autopsy, biopsy, or surgery for either death from COVID-19 or multisystem inflammatory syndrome, or assessments for long COVID-19 or other conditions.
Our analysis suggests that in children, independent from disease severity, SARS-CoV-2 can spread systemically and persist for weeks to months. We discuss what is known about the biological effects of viral persistence for other viral infections and highlight new scenarios for clinical, pharmacological, and basic research exploration. Such an approach will improve the understanding and management of post-viral syndromes.
Source: Danilo Buonsenso, Laura Martino, Rosa Morello, Francesco Mariani, Kelly Fearnley, Piero . Viral persistence in children infected with SARS-CoV-2: current evidence and future research strategies. The Lancet Microbe. Published: June 26, 2023. https://www.thelancet.com/journals/lanmic/article/PIIS2666-5247(23)00115-5/fulltext (Full text)

New-onset type 1 diabetes in children and adolescents as postacute sequelae of SARS-CoV-2 infection: A systematic review and meta-analysis of cohort studies

Abstract:

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in children and adolescents may increase risk for a variety of post-acute sequelae including new-onset type 1 diabetes mellitus (T1DM). Therefore, this meta-analysis aims to estimate the risk of developing new-onset type 1 diabetes in children and adolescents as post-acute sequelae of SARS-CoV-2 infection.

PubMed/MEDLINE, CENTRAL, and EMBASE were systematically searched up to March 20, 2023. A systematic review and subsequent meta-analyses were performed to calculate the pooled effect size, expressed as risk ratio (RR) with corresponding 95% confidence interval (CI) of each outcome based on a one-stage approach and the random-effects estimate of the pooled effect sizes of each outcome were generated with the use of the DerSimonian-Laird method. Eight reports from seven studies involving 11 220 530 participants (2 140 897 patients with a history of diagnosed SARS-CoV-2 infection and 9 079 633 participants in the respective control groups) were included. The included studies reported data from four U.S. medical claims databases covering more than 503 million patients (IQVIA, HealthVerity, TriNetX, and Cerner Real-World Data), and three national health registries for all children and adolescents in Norway, Scotland, and Denmark.

It was shown that the risk of new-onset T1DM following SARS-CoV-2 infection in children and adolescents was 42% (95% CI 13%-77%, p = 0.002) higher compared with non-COVID-19 control groups. The risk of developing new-onset T1DM following SARS-CoV-2 infection was significantly higher (67%, 95% CI 32 %-112%, p = 0.0001) in children and adolescents between 0 and 11 years, but not in those between 12 and 17 years (RR = 1.10, 95% CI 0.54-2.23, p = 0.79). We also found that the higher risk for developing new-onset T1DM following SARS-CoV-2 infection only exists in studies from the United States (RR = 1.70, 95% CI 1.37-2.11, p = 0.00001) but not Europe (RR = 1.02, 95% CI 0.67-1.55, p = 0.93). Furthermore, we found that SARS-CoV-2 infection was associated with an elevation in the risk of diabetic ketoacidosis (DKA) in children and adolescents compared with non-COVID-19 control groups (RR = 2.56, 95% CI 1.07-6.11, p = 0.03).

Our findings mainly obtained from US medical claims databases, suggest that SARS-CoV-2 infection is associated with higher risk of developing new-onset T1DM and diabetic ketoacidosis in children and adolescents. These findings highlight the need for targeted measures to raise public health practitioners and physician awareness to provide intervention strategies to reduce the risk of developing T1DM in children and adolescents who have had COVID-19.

Source: Rahmati M, Yon DK, Lee SW, Udeh R, McEVoy M, Kim MS, Gyasi RM, Oh H, López Sánchez GF, Jacob L, Li Y, Koyanagi A, Shin JI, Smith L. New-onset type 1 diabetes in children and adolescents as postacute sequelae of SARS-CoV-2 infection: A systematic review and meta-analysis of cohort studies. J Med Virol. 2023 Jun;95(6):e28833. doi: 10.1002/jmv.28833. PMID: 37264687. https://onlinelibrary.wiley.com/doi/10.1002/jmv.28833

Prevalence of mental health problems among children with long COVID: A systematic review and meta-analysis

Abstract:

Introduction: The number of children with mental health problems has more than doubled since the COVID-19 pandemic. However, the effect of long Covid on children’s mental health is still debatable. Recognising long Covid as a risk factor for mental health problems in children will increase awareness and screening for mental health problems following COVID-19 infection, resulting in earlier intervention and lower morbidity. Therefore, this study aimed to determine the proportion of mental health problems post-COVID-19 infection in children and adolescents, and to compare them with the population with no previous COVID-19 infection.

Methodology: A systematic search was done in seven databases using pre-defined search terms. Cross-sectional, cohort and interventional studies reporting the proportion of mental health problems among children with long COVID in the English language from 2019 to May 2022 were included. Selection of papers, extraction of data and quality assessment were done independently by two reviewers. Studies with satisfactory quality were included in meta-analysis using R and Revman software programmes.

Results: The initial search retrieved 1848 studies. After screening, 13 studies were included in the quality assessments. Meta-analysis showed children who had previous COVID-19 infection had more than two times higher odds of having anxiety or depression, and 14% higher odds of having appetite problems, compared to children with no previous infection. The pooled prevalence of mental health problems among the population were as follows; anxiety: 9%(95% CI:1, 23), depression: 15%(95% CI:0.4, 47), concentration problems: 6%(95% CI: 3, 11), sleep problems: 9%(95% CI:5, 13), mood swings: 13% (95%CI:5, 23) and appetite loss: 5%(95% CI:1, 13). However, studies were heterogenous and lack data from low- and middle-income countries.

Conclusion: Anxiety, depression and appetite problems were significantly increased among post-COVID-19 infected children, compared to those without a previous infection, which may be attributed to long COVID. The findings underscore the importance of screening and early intervention of children post-COVID-19 infection at one month and between three to four months.

Source: Mat Hassan N, Salim HS, Amaran S, Yunus NI, Yusof NA, Daud N, et al. (2023) Prevalence of mental health problems among children with long COVID: A systematic review and meta-analysis. PLoS ONE 18(5): e0282538. https://doi.org/10.1371/journal.pone.0282538 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0282538 (Full text)