Computable Clinical Phenotyping of Postacute Sequelae of COVID-19 in Pediatrics Using Real-World Data

Many questions remain unanswered concerning the long-term effects of COVID-19 on children. In this report, we describe a computable phenotyping algorithm for identifying children and adolescents with postacute sequelae of COVID-19 (PASC) and pilot this tool to characterize the clinical epidemiology...

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Published in:Journal of the Pediatric Infectious Diseases Society 2023-02, Vol.12 (2), p.113-116
Main Authors: Fashina, Tomini A, Miller, Christine M, Paintsil, Elijah, Niccolai, Linda M, Brandt, Cynthia, Oliveira, Carlos R
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Language:English
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Brief Reports
Child
COVID-19
Humans
Pediatrics
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container_title Journal of the Pediatric Infectious Diseases Society
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creator Fashina, Tomini A
Miller, Christine M
Paintsil, Elijah
Niccolai, Linda M
Brandt, Cynthia
Oliveira, Carlos R
description Many questions remain unanswered concerning the long-term effects of COVID-19 on children. In this report, we describe a computable phenotyping algorithm for identifying children and adolescents with postacute sequelae of COVID-19 (PASC) and pilot this tool to characterize the clinical epidemiology of pediatric PASC in a large healthcare delivery network.
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subjects Brief Reports
Child
COVID-19
Humans
Pediatrics
title Computable Clinical Phenotyping of Postacute Sequelae of COVID-19 in Pediatrics Using Real-World Data
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