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Tag: pediatric long covid
Children and Young People with Long COVID—Comparing Those Seen in Post-COVID Services with a Non-Hospitalised National Cohort: A Descriptive Study
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Long-term neurological implications of severe acute respiratory syndrome coronavirus 2 infections in neonates: Innate immune memory and chronic neuroinflammation
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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection can cause long-term neurological complications in adults. However, the mechanisms by which early-life SARS-CoV-2 infection increases the risk of abnormal neurodevelopment remain unknown.
Recent studies have shown an association with chronic proinflammatory cytokine/chemokine production in the central nervous system (CNS). Therefore, it was hypothesised that innate immune activation and induction of innate immune memory may play a potential role in the neonatal brain. Haematopoietic stem cells in the bone marrow are exposed to SARS-CoV-2, SARS-CoV-2 envelope protein (E protein), lipopolysaccharide (LPS)-bound spike proteins (S1 and S2 proteins), and damage-associated molecular patterns (DAMPs). Myeloid progenitors enter the stroma of the choroid plexus and are further directed to incessantly supply the brain parenchyma with resident innate immune cells. The S proteins-LPS complex can cross the blood–brain barrier and plays an important role in microglial and astrocytic inflammatory responses and innate immune memory.
Persistently activated microglia with memory release pro-inflammatory cytokines/chemokines which contribute to abnormal synaptic development in the frontal lobe and cerebellum, potentially leading to long-term neurological complications, similar to those observed in autism spectrum disorder (ASD). In addition, this hypothesis suggests that bacterial and fungal products may act as adjuvants to S proteins and may also explain why S proteins alone are insufficient to induce neuroinflammation in neonates.
Source: Tatsuro Nobutoki. Long-term neurological implications of severe acute respiratory syndrome coronavirus 2 infections in neonates: Innate immune memory and chronic neuroinflammation. Medical Hypotheses, Volume 181, December 2023, 111204 https://www.sciencedirect.com/science/article/pii/S0306987723002001 (Full text)
Incidence and persistence of post-COVID condition in children – a matched cohort study in Germany
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• In routine healthcare data adolescents showed stronger associations between COVID-19 and post COVID-19 related ICD-10 diagnoses than children < 12 years of age.
• Serious ICD-10 diagnoses persisted for a longer time in younger children than adolescents.
Source: F Ehm, D Wende, F Loser, A Vivirito, S Menzer, M Batram, T Buschmann, G Sarganas, C Scheidt-Nave, J Schmitt, Incidence and persistence of post-COVID condition in children – a matched cohort study in Germany, European Journal of Public Health, Volume 33, Issue Supplement_2, October 2023, ckad160.095, https://doi.org/10.1093/eurpub/ckad160.095 https://academic.oup.com/eurpub/article/33/Supplement_2/ckad160.095/7327923 (Full text available as PDF file)
A qualitative study to explore children’s experience of having long-Covid
Atopy and Elevation of IgE, IgG3, and IgG4 May Be Risk Factors for Post COVID-19 Condition in Children and Adolescents
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Social Stigma in Children with Long COVID
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Pediatric and Adult Patients with ME/CFS following COVID-19: A Structured Approach to Diagnosis Using the Munich Berlin Symptom Questionnaire (MBSQ)
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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 (NCT05778006, NCT05638724).
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
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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)
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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)