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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 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | 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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ISSN: | 2048-7207 2048-7193 2048-7207 |
DOI: | 10.1093/jpids/piac132 |