Post-Acute Sequelae of SARS-CoV2, Diagnosed


dc.contributor.otherPEDSnet Data Coordinating Center
dc.date.accessioned2024-06-10T19:03:36Z
dc.date.available2024-06-10T19:03:36Z
dc.date.created2022-05-30
dc.descriptionOne of several codesets in the PEDSnet `observation_derivation_recover`(ODR) workflow to extract COVID-19 patients from the [PEDSnet CDM](https://hdl.handle.net/20.500.14642/749.12) `observation` table.
dc.description.abstractThis concept set is inteded to identify patients with a diagnosis of post-acute sequelae of SARS-CoV2.
dc.identifier.urihttps://hdl.handle.net/20.500.14642/637
dc.identifier.urihttps://doi.org/10.24373/pdsp-93
dc.provenanceThis concept set was developed to extract COVID patients out of the PEDSnet CDM observation table for the the Researching COVID to Enhance Recovery (RECOVER) Post-Acute Sequelae of SARS-CoV-2 (PASC) Electronic Health Record (EHR) Cohort Study. RECOVER was a was a long-term NIH-funded project focused on analyzing the COVID-19 outbreak, especially the long term health impacts of the pandemic.
dc.publisherPEDSnet
dc.relation.urihttps://atlassian.chop.edu/bitbucket/projects/PASC/repos/misc_outcomes/browse/specs/pasc_dx.csv
dc.rightsa CC-BY Attribution 4.0 License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.meshPost-Acute COVID-19 Syndrome
dc.subject.meshCOVID-19
dc.subject.meshPneumonia, Viral
dc.subject.meshCoronavirus Infections
dc.subject.meshRespiratory Tract Infections
dc.subject.meshPneumonia
dc.subject.meshVirus Diseases
dc.subject.otherICD-10
dc.subject.otherICD-10-CM
dc.titlePost-Acute Sequelae of SARS-CoV2, Diagnosed
dspace.entity.typeConceptSet
local.quality.statusResearch-Ready
local.subject.DataModelPEDSnet Data Model
local.subject.EvalTypeNo Formal Review
local.variable.namedx_pasc
relation.isCodeOfConceptSet167e9007-d019-411a-bdc6-b4b7bfce42ca
relation.isCodeOfConceptSet.latestForDiscovery167e9007-d019-411a-bdc6-b4b7bfce42ca
relation.isStudyOfConceptSet4932bc8c-1f72-44ad-aeeb-b7922e38fad3
relation.isStudyOfConceptSet.latestForDiscovery4932bc8c-1f72-44ad-aeeb-b7922e38fad3

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