Non-hospitalised Children & young people (CYP) with Long Covid (The CLoCk Study)

  • Funded by UK Research and Innovation (UKRI)
  • Total publications:0 publications

Grant number: MC_PC_20052

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2021
    2024
  • Known Financial Commitments (USD)

    $1,299,613.86
  • Funder

    UK Research and Innovation (UKRI)
  • Principal Investigator

    Professor Sir Terence Stephenson
  • Research Location

    United Kingdom
  • Lead Research Institution

    University College London, Great Ormond Street Hospital
  • Research Priority Alignment

    N/A
  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Prognostic factors for disease severity

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Adolescent (13 years to 17 years)Children (1 year to 12 years)

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Uncertainties relate to diagnosis, prevalence, duration and treatment of post-COVID syndrome ('long COVID') in children and young people (CYP). There is no diagnostic test nor definition for long COVID. We do not know the physical, psychological andsocial consequences of long COVID and we need to define the clinical phenotype and longer-term physical/physiological/psychological changes to target therapeutic interventions. Risk factors for acute COVID include: obesity, pre-existing co-morbidities, learning and neurological disabilities, mental health(MH) problems, BAME status. The CYP likely to be most at risk of long COVID are teenagers as they represent the majority of CYP pre-COVID with persistent physical and MH symptoms post-viral infection. Ludwigsson (2020) reported five COVID positive CYP with median age 12 yrs with symptoms longer than 6 months.The research questions: 1. To describe the clinical phenotype of post-COVID symptomatology in test-positive CYP, using test-negativecomparators 2. Use these data to produce an operational definition of long COVID, necessary for any future epidemiological orinterventional study 3. Use this definition to establish the prevalence and natural course of long COVID in CYP to inform NHS services and health policy HYPOTHESIS: the type, prevalence and trajectory of symptoms in COVID positive CYP will differ significantly from thecomparator group, allowing us to construct an operational definition of long COVID. We plan a longitudinal cohort study of non-hospitalised CYP aged 11-17 yrs. We will approach 30,000 CYP, half of whom with proven COVID. We expect 6,000 to consent to help us. We will ask them whether they still have physical or mental health problems at 3, 6,12 and 24 months afterwards. The 3,000 CYP with a positive SARS-CoV-2 tests will be compared with 3,000 test-negative controls. DELIVERABLES: we will access large numbers with proven COVID quickly to generate early outputs to inform future intervention studies and health policy.