Pediatric Post-acute Sequelae of COVID-19 (PASC)


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dc.contributor.authorDickinson, Kimberley
dc.contributor.authorBotdorf, Morgan
dc.contributor.authorLorman, Vitaly
dc.contributor.otherChildren's Hospital of Philadelphia
dc.date.accessioned2026-02-23T15:58:46Z
dc.date.created2022-12-01
dc.descriptionThe CP is applied as follows: 1. Identify cohorts eligible for assessment: 1. Patients with COVID-19 infection: clinical diagnosis or PCR, antigen, or nucleocapsid serology test 2. Age < 21 years at COVID-19 infection date 3. Sufficient follow up: ≥ 2 encounters with health system between 28-179 post-COVID-19 infection 2. Classify patients as having conclusive, probable, or no evidence of Long COVID as follows: 1. **Conclusive:** * 2+ PASC or MISC diagnoses (on separate dates) 2. **Probable:** * 1 PASC or MISC diagnosis OR * ≥ 2 symptom cluster diagnoses separated by at least 28 days in the post acute period (28-179 post-SARS-CoV-2 infection) * Note: respiratory and fever diagnoses are removed if occur within 14 days of another, non-COVID-19 respiratory infection * Note: apply a washout period (30 days or 2 years, dependent on acute or chronic condition type) for conditions present prior to COVID-19 infection 3. **No evidence:** * Does not meet the "conclusive" or "probable" classifications
dc.description.abstractThe PASC rules-based computable phenotype (CP) is intended to identify pediatric patients with Long COVID and assign a level of certainty of Long COVID (conclusive, probable, no evidence). The CP incorporates both diagnosis codes specific to Long COVID and clusters of symptoms common in pediatric patients with evidence of Long COVID. The CP was developed to identify patients with Long COVID for further use in RECOVER research projects. It was originally published in [Identifying Pediatric Long COVID: Comparing an EHR Algorithm to Manual Review](https://hdl.handle.net/20.500.14642/1502) (doi.org/10.1055/a-2702-1574).
dc.identifier.urihttps://hdl.handle.net/20.500.14642/1536
dc.identifier.urihttps://doi.org/10.24373/pdsp-508
dc.provenanceThis CP was developed as a part of the Researching COVID to Enhance Recovery (RECOVER) research initiative. The CP was developed to identify patients with Long COVID for further use in RECOVER research projects. It was originally published in Identifying Pediatric Long COVID: Comparing an EHR Algorithm to Manual Review (https://hdl.handle.net/20.500.14642/1502; doi.org/10.1055/a-2702-1574).
dc.relation.urihttps://github.com/RECOVER-Coordinating-Center/pasc-cp
dc.rightsa CC-BY Attribution 4.0 license.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectRules-Based (Structured Data-Only)
dc.subjectCohort Definition
dc.subjectComorbidity or Covariate
dc.subject.meshPost-Acute COVID-19 Syndrome
dc.subject.meshCOVID-19
dc.subject.meshInfections
dc.subject.meshRespiratory Tract Diseases
dc.subject.meshPost-Infectious Disorders
dc.subject.meshPediatrics
dc.subject.meshPneumonia, Viral
dc.subject.meshCoronavirus Infections
dc.subject.otherICD-10-CM
dc.subject.otherSNOMED
dc.subject.otherICD-10
dc.subject.otherICD-9-CM
dc.titlePediatric Post-acute Sequelae of COVID-19 (PASC)
dspace.entity.typePhenotype
local.quality.statusResearch-Ready
local.subject.DataModelOMOP Data Model
local.subject.DevPopChild Patient Population
local.subject.DevPopAdolescent Patient Population
local.subject.validationClinical Chart Review
relation.isPublicationOfPhenotypeb3b4572d-c586-4b97-8405-b2eb5d138fa9
relation.isPublicationOfPhenotype.latestForDiscoveryb3b4572d-c586-4b97-8405-b2eb5d138fa9
relation.isStudyOfPhenotype4932bc8c-1f72-44ad-aeeb-b7922e38fad3
relation.isStudyOfPhenotype.latestForDiscovery4932bc8c-1f72-44ad-aeeb-b7922e38fad3

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Domains

Infection Algorithms
Respiratory Tract Algorithms