RESUMEN
BACKGROUND: The long-term sequelae of COVID-19 in children and adolescents remain poorly understood and characterized. This systematic review and meta-analysis sought to summarize the risk factors for long COVID in the pediatric population. METHODS: We searched six databases from January 2020 to May 2023 for observational studies reporting on risk factors for long COVID or persistent symptoms those were present 12 or more weeks post-infection using multivariable regression analyses. Trial registries, reference lists of included studies, and preprint servers were hand-searched for relevant studies. Random-effects meta-analyses were conducted to pool odds ratios for each risk factor. Individual study risk of bias was rated using QUIPS, and the GRADE framework was used to assess the certainty of evidence for each unique factor. RESULTS: Sixteen observational studies (N = 46,262) were included, and 19 risk factors were amenable to meta-analysis. With moderate certainty in the evidence, age (per 2-year increase), allergic rhinitis, obesity, previous respiratory diseases, hospitalization, severe acute COVID-19, and symptomatic acute COVID-19 are probably associated with an increased risk of long COVID. Female sex, asthma, comorbidity, and heart diseases may be associated with an increased risk of long COVID, and Asian and Black races may be associated with a decreased risk of long COVID. We did not observe any credible subgroup effects for any risk factor. CONCLUSIONS: The current body of literature presents several compelling risk factors for the development of long COVID in the pediatric population. Further research is necessary to elucidate the pathophysiology of long COVID.
Asunto(s)
COVID-19 , Humanos , Adolescente , Niño , Femenino , COVID-19/epidemiología , Síndrome Post Agudo de COVID-19 , Progresión de la Enfermedad , Hospitalización , Factores de RiesgoRESUMEN
AIM: Multisystem inflammatory syndrome in children (MIS-C) is a novel condition that can occur post-SARS-CoV-2 infection in children and adolescents. There is a paucity of evidence on the prognostic factors associated with MIS-C. The aim of this systematic review and meta-analysis was to summarise the prognostic factors for MIS-C development. METHODS: Five databases were systematically searched from January 2020 to May 2023 for studies reporting on prognostic factors for MIS-C using multivariable regression models. Random-effects meta-analyses were conducted to pool odds ratios for each prognostic factor. Risk of bias was rated using QUIPS and the GRADE framework was used to assess the certainty of evidence for each unique factor. RESULTS: Twelve observational studies (N = 18 024) were included, and 13 unique prognostic factors were amenable to meta-analysis. With moderate certainty, age <12 years, male sex and Black race probably increase the risk of MIS-C. Malignancy and underlying respiratory disease probably decrease the risk of MIS-C. Low-certainty evidence suggests that Asian race may increase the risk of MIS-C, and comorbidity may decrease the risk of MIS-C. CONCLUSION: Current literature presents several prognostic factors related to MIS-C following SARS-CoV-2 infection. Further research is necessary to elucidate the pathophysiologic mechanisms related to MIS-C.