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      Risk factors for post-COVID-19 condition (Long Covid) in children: a prospective cohort study

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          Abstract

          Background

          Adults and children can develop post-Covid-19 condition (PCC) (also referred to as Long Covid). However, existing evidence is scarce, partly due to a lack of a standardised case definition, short follow up duration, and heterogenous study designs, resulting in wide variation of reported outcomes. The primary aim of this study was to characterise risk factors for PCC and longitudinal rates of recovery in a cohort of children and young people using a standardised protocol.

          Methods

          We performed a prospective “disease-based” cohort study between 01/02/2020 to 31/10/2022 including children aged 0–18 years old, with a previous diagnosis of Covid-19. Children with microbiologically confirmed SARS-CoV-2 infection, were invited for an in-clinic follow-up assessment at a paediatric post-covid clinic in Rome, Italy, at serial intervals (3-, 6-, 12- and 18-months post-onset). PCC was defined as persistence of otherwise unexplained symptoms for at least three months after initial infection. The statistical association between categorical variables was obtained by Chi-squared tests or Fisher's exact tests. Multivariable logistic regressions are presented using odds ratios (OR) and 95% confidence interval (CI). Survival analysis was conducted using the Kaplan–Meier method.

          Findings

          1243 children were included, median age: 7.5 (4–10.3) years old; 575 (46.3%) were females. Of these, 23% (294/1243) were diagnosed with PCC at three months post-onset. Among the study population, 143 patients remained symptomatic at six months, 38 at 12 months, and 15 at 18 months follow up evaluation. The following risk factors were associated with PCC: >10 years of age (OR 1.23; 95% CI 1.18–1.28), comorbidities (OR 1.68; 95% CI 1.14–2.50), and hospitalisation during the acute phase (OR 4.80; 95%CI 1.91–12.1). Using multivariable logistic regression, compared to the Omicron variant, all other variants were significantly associated with PCC at 3 and 6 months. At least one dose of vaccine was associated with a reduced, but not statistically significant risk of developing PCC.

          Interpretation

          In our study, acute-phase hospitalisation, pre-existing comorbidity, being infected with pre-Omicron variants and older age were associated with a higher risk of developing PCC. Most children recovered over time, but one-in-twenty of those with PCC at three months reported persistent symptoms 18 months post-Sars-CoV-2 infection. Omicron infection was associated with shorter recovery times. We did not find a strong protective effect of vaccination on PCC development. Although our cohort cannot be translated to all Italian children with PCC as more nationwide studies are needed, our findings highlight the need of new strategies to prevent and treat pediatric PCC are needed.

          Funding

          This study has been funded by doi 10.13039/100004319, Pfizer; non-competitive grant, granted to DB (# 65925795).

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          Most cited references33

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          Global Prevalence of Post COVID-19 Condition or Long COVID: A Meta-Analysis and Systematic Review

          Abstract Introduction This study aims to examine the worldwide prevalence of post COVID-19 condition, through a systematic review and meta-analysis. Methods PubMed, Embase, and iSearch were searched on July 5, 2021 with verification extending to March 13, 2022. Using a random effects framework with DerSimonian-Laird estimator, we meta-analyzed post COVID-19 condition prevalence at 28+ days from infection. Results 50 studies were included, and 41 were meta-analyzed. Global estimated pooled prevalence of post COVID-19 condition was 0.43 (95% CI: 0.39,0.46). Hospitalized and non-hospitalized patients have estimates of 0.54 (95% CI: 0.44,0.63) and 0.34 (95% CI: 0.25,0.46), respectively. Regional prevalence estimates were Asia— 0.51 (95% CI: 0.37,0.65), Europe— 0.44 (95% CI: 0.32,0.56), and North America— 0.31 (95% CI: 0.21,0.43). Global prevalence for 30, 60, 90, and 120 days after infection were estimated to be 0.37 (95% CI: 0.26,0.49), 0.25 (95% CI: 0.15,0.38), 0.32 (95% CI: 0.14,0.57) and 0.49 (95% CI: 0.40,0.59), respectively. Fatigue was the most common symptom reported with a prevalence of 0.23 (95% CI: 0.17,0.30), followed by memory problems (0.14 [95% CI: 0.10,0.19]). Discussion This study finds post COVID-19 condition prevalence is substantial; the health effects of COVID-19 appear to be prolonged and can exert stress on the healthcare system.
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            Managing the long term effects of covid-19: summary of NICE, SIGN, and RCGP rapid guideline

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              Risk of long COVID associated with delta versus omicron variants of SARS-CoV-2

              The omicron variant of SARS-CoV-2 (PANGO B.1.1.529) spread rapidly across the world, out-competing former variants soon after it was first detected in November, 2021. According to the Our World in Data COVID-19 database, In Europe, the number of confirmed cases reported between December, 2021, and March, 2022 (omicron period) has exceeded all previously reported cases. Omicron appears to cause less severe acute illness than previous variants, at least in vaccinated populations. However, the potential for large numbers of people to experience long-term symptoms is a major concern, and health and workforce planners need information urgently to appropriately scale resource allocation. In this case-control observational study, we set out to identify the relative odds of long-COVID (defined following the National Institute for Health and Care Excellence guidelines as having new or ongoing symptoms 4 weeks or more after the start of acute COVID-19) in the UK during the omicron period compared with the delta period. We used self-reported data from the COVID Symptom Study app 1 (King's College London Research Ethics Management Application System number 18210, reference LRS-19/20-18210). Data were extracted and pre-processed using ExeTera13 (version 0.5.5). The inclusion criteria in both periods were a positive real-time PCR or lateral flow antigen test for SARS-CoV-2 after vaccination, at least one log per week in the app for at least 28 days after testing positive, 2 and no previous SARS-CoV-2 infections before vaccination. We identified 56 003 UK adults first testing positive between Dec 20, 2021, and March 9, 2022, who satisfied the inclusion criteria. These cases are hereafter referred to as omicron cases as more than 70% of UK cases were estimated to be attributable to the omicron variant during that time. Using identical selection criteria, we identified 41 361 UK adult cases first testing positive between June 1, 2021, and Nov 27, 2021, referred to as delta cases as more than 70% of cases were attributable to the delta variant. Both symptomatic and asymptomatic infections were considered, and, for the omicron period, we included only participants testing positive before Feb 10, 2022, to ensure all participants had at least 28 days for symptom reporting after testing positive. In both periods, female participation was higher than male participation (55% for omicron and 59% for delta cases). Delta and omicron cases had similar age (mean age 53 years) and prevalence of comorbidities (around 19%). Considering the local area Index of Multiple Deprivation (IMD), a score ranging from 1 (most deprived) to 10 (least deprived) estimating relative locality deprivation, omicron cases were distributed in areas of slightly lower deprivation than delta cases (16·7% vs 17·5% for IMD 1–3). To assess the association between long COVID (outcome) and the infection period (exposure), we applied a univariate logistic regression model adjusted by sex, IMD, age, the presence of comorbidities, vaccination status (one, two, or three doses), and body-mass index, all of which are related to the risk of long COVID. 3 We stratified the analysis according to the time elapsed between infection and most recent vaccination considering three groups, 3 months, 3–6 months, and more than 6 months, to allow for potential waning of immunity from vaccination. Among omicron cases, 2501 (4·5%) of 56 003 people experienced long COVID and, among delta cases, 4469 (10·8%) of 41 361 people experienced long COVID. Omicron cases were less likely to experience long COVID for all vaccine timings, with an odds ratio ranging from 0·24 (0·20–0·32) to 0·50 (0·43–0·59). These results were also confirmed when the analysis was stratified by age group (figure ). Figure Odds ratio of long COVID (LC) adjusted by age, sex, body-mass index, Index of Multiple Deprivation, presence of comorbidities, and vaccination status Omicron long COVID and delta long COVID indicate, for each stratum, the number of users with long COVID over the total number of users of that stratum. We believe this is the first peer-reviewed study to report on long COVID risk associated with infection by the omicron variant, highlighting that health surveillance using smartphone apps can produce rapid insights, which we have consistently shown are accurate and subsequently replicated. 1 A major strength of our study in relation to long COVID is the prospective symptom logging of a wide range of symptoms. Limitations of the self-reported data include no direct testing of infectious variants (here assumed from national data) and no objective measures of illness duration. The samples, although not fully generalisable to the UK population on account of sex and socioeconomic bias, were similar in both periods, allowing comparison. We had insufficient data to estimate the odds of long COVID in unvaccinated individuals and did not estimate effects in children. Finally, to enable swift reporting, the period of assessment of omicron cases was slightly shorter than for the delta variant, and assessment of longer durations of long COVID (eg, >12 weeks) was not possible. Overall, we found a reduction in odds of long COVID with the omicron variant versus the delta variant of 0·24–0·50 depending on age and time since vaccination. However, the absolute number of people experiencing long COVID at a given time depends on the shape and amplitude of the pandemic curve. For example, given the high numbers of people infected with omicron in the UK from December, 2021, to February, 2022, our data are consistent with the UK Office for National Statistics, who estimated that the numbers of people experiencing long COVID actually increased from 1·3 million in January, 2022, to 1·7 million in March, 2022. 4 Considering the UK omicron peak of more than 350 000 new symptomatic COVID-19 cases per day estimated on March 26, 2022, by the ZOE app model and 4% of cases being long COVID, future numbers with long COVID will inevitably rise. For Our World In Data COVID-19 data see https://ourworldindata.org/coronavirus
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                Author and article information

                Journal
                eClinicalMedicine
                EClinicalMedicine
                eClinicalMedicine
                The Author(s). Published by Elsevier Ltd.
                2589-5370
                14 April 2023
                May 2023
                14 April 2023
                : 59
                : 101961
                Affiliations
                [a ]Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
                [b ]Medical Oncology, Università Cattolica del Sacro Cuore, Rome, Italy
                [c ]Department of Paediatrics and Paediatric Infectious Diseases, Institute of Child’s Health, I.M. Sechenov First Moscow State Medical University, Sechenov University, Moscow, Russia
                [d ]ISARIC Global Support Centre, GloPID-R Research and Policy Team, Pandemic Sciences Institute, University of Oxford, Oxford, UK
                [e ]Centro di Salute Globale, Università Cattolica del Sacro Cuore, Roma, Italy
                [f ]Care for Long Term Conditions Division, Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, United Kingdom
                Author notes
                []Corresponding author. Largo A. Gemelli 8, 00168, Rome, Italy.
                Article
                S2589-5370(23)00138-4 101961
                10.1016/j.eclinm.2023.101961
                10101848
                37073325
                b3025e74-9078-44db-b35c-b0dab8adbd4b
                © 2023 The Author(s)

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 9 February 2023
                : 22 March 2023
                : 23 March 2023
                Categories
                Articles

                sars-cov-2 infection,children,long covid,post-covid condition,risk factors,sars-cov-2 variants,covid-19 vaccination

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