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


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2022-12-01

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Validation Method

Data Model

Phenotype Description

The 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 (doi.org/10.1055/a-2702-1574).

Affiliation(s)

Children's Hospital of Philadelphia

Funder(s)

Provenance

This 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).

Algothrithm Description

The 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

Development Population


Development Code

https://github.com/RECOVER-Coordinating-Center/pasc-cp

Vocabulary

Clinical Subjects Headings

Data Source

Related Concept Set

Related Person

Related Phenotype

Related Study

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The Researching COVID to Enhance Recovery (RECOVER) Post-Acute Sequelae of SARS-CoV-2 (PASC) Electronic Health Record (EHR) Cohort Study
Affiliation:Children's Hospital of Philadelphia
Study to understand, prevent, and treat post-acute sequelae of SARS-CoV-2 (PASC), including Long COVID.

Related Code

Related Publications

Creative Commons license

a CC-BY Attribution 4.0 license.
Except where otherwised noted, this item's license is described as a CC-BY Attribution 4.0 license.

Cite this Phenotype

Dickinson, K., Botdorf, M., & Lorman, V. (2022, November). Pediatric Post-acute Sequelae of COVID-19 (PASC). [Phenotype]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-508