Predictors of post-acute sequelae of coronavirus disease 2019 and long COVID in adults and children: a retrospective cohort study using us electronic health record data.

Predictors of post-acute sequelae of coronavirus disease 2019 and long COVID in adults and children: a retrospective cohort study using us electronic health record data.

Publication date: Dec 15, 2025

This study examined the incidence and predictors of post-acute sequelae of COVID-19 (PASC) and Long COVID in adults and children with confirmed Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection. Associations assessed included demographic factors, comorbidities, lab markers, and patient clinical complications. A retrospective cohort of 13,940 patients with confirmed SARS-CoV-2 infection (7836 adults and 6104 children) from the Optum(R) COVID-19 Electronic Health Record dataset was analyzed (1 June 2020-30 June 2021). PASC was defined as symptoms lasting

Concepts Keywords
Coronavirus adults
Covid children
June COVID-19
Lab

Semantics

Type Source Name
disease MESH coronavirus disease 2019
disease MESH long COVID
disease MESH Severe Acute Respiratory Syndrome
disease MESH infection
disease MESH included
pathway REACTOME SARS-CoV-2 Infection

Original Article

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