The Researching COVID to Enhance Recovery (RECOVER) Post-Acute Sequelae of SARS-CoV-2 (PASC) Electronic Health Record (EHR) Cohort Study


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dc.contributorNational Institutes of Health
dc.contributor.authorForrest, Christopher
dc.contributor.authorRao, Suchitra
dc.contributor.authorBailey, Charles
dc.contributor.otherChildren's Hospital of Philadelphia
dc.date.accessioned2024-07-09T19:50:29Z
dc.descriptionInvestigators from two of the nation's top health research institutions, Weill Cornell Medicine (WCM) and Children's Hospital of Philadelphia (CHOP), spearheaded this study aimed at understanding more about long-haul COVID-19. Dr. Christopher Forrest, professor of pediatrics and health care management at CHOP and principal investigator (PI) of the PEDSnet Clinical Research Network (CRN); and Dr. Rainu Kaushal, senior associate dean for clinical research and chair of the Department of Population Health Sciences at WCM and PI of the INSIGHT Clinical Research Network (CRN) were selected as two of the three leaders of the Electronic Health Record (EHR) Cohort Studies for the NIH [Researching COVID to Enhance Recovery (RECOVER) Initiative](https://recovercovid.org). Drs. Forrest and Kaushal led the PCORnet-based EHR cohort alongside mPIs Dr. L. Charles Bailey (CHOP); Dr. Thomas Carton (Louisiana Public Health Institute); Dr. Suchitra Rao (Children's Hospital Colorado); and Dr. Mark Weiner (WCM). The PCORnet Adult and Pediatric RECOVER EHR cohorts were enabled by the infrastructure of PCORnet, the National Patient-Centered Clinical Research Network. The NIH RECOVER Initiative awarded PCORnet researchers $22 million over five years to study the Post-Acute Sequelae of SARS-CoV-2 infection (PASC), often referred to as long-haul COVID-19, in children and adults. This novel research opportunity leveraged standardized and quality-assured clinical data, hundreds of scientists, streamlined processes, and clinical research infrastructure to rapidly generate evidence for PASC in both adult and pediatric populations. The EHR cohorts contributed to the RECOVER Initiative in several meaningful ways, including the creation of new computable phenotypes and models that define PASC in children and adults. These computable patient characteristics can then be leveraged by clinical sites to identify and recruit eligible patients into studies which will generate valuable information about PASC. Finally, the EHR cohorts helped develop models and algorithms that predict risk of PASC while examining disparities between different populations to illustrate the effects of vaccines on PASC. The PCORnet-RECOVER EHR cohort was a collaboration between all eight PCORnet Clinical Research Networks (https://pcornet.org), representing 41 institutions across the United States. PCORnet provided an unprecedented breadth and depth of real-world data, nationally renowned investigators including informaticians, clinicians, and learning health system experts, and a robust track record for large-scale observational research, comparative effectiveness studies, surveys, and pragmatic clinical trials.
dc.description.abstractStudy to understand, prevent, and treat post-acute sequelae of SARS-CoV-2 (PASC), including Long COVID.<br> #### [View the RECOVER initiative website here.](https://recovercovid.org/)
dc.identifier.urihttps://hdl.handle.net/20.500.14642/732
dc.language.isoen_US
dc.publisherPEDSnet
dc.rightsa CC-BY 4.0 Attribution license.
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.subjectInvestigator-Led Study
dc.subjectCohort Study
dc.subjectRetrospective Study
dc.subjectObservational Study
dc.subjectClinical Study
dc.subjectPEDSnet Data Source
dc.subjectPCORnet Data Source
dc.subjectFederally-Funded Research
dc.subject.meshPost-Acute COVID-19 Syndrome
dc.subject.meshCOVID-19
dc.subject.meshPneumonia, Viral
dc.subject.meshCoronavirus Infections
dc.subject.meshCoronaviridae Infections
dc.titleThe Researching COVID to Enhance Recovery (RECOVER) Post-Acute Sequelae of SARS-CoV-2 (PASC) Electronic Health Record (EHR) Cohort Study
dspace.entity.typeStudy
local.admin.noteStudy PM: Miranda Higginbotham, Study Analysts: Katie, Vitaly, Rodrigo
local.admin.notehttps://chop365.sharepoint.com/:f:/r/teams/RSCH-ACRC/Shared%20Documents/RECOVER?csf=1&web=1&e=JatFUB
local.code.githubhttps://github.com/PEDSnet/y4_q1_cardiac_booster_query
local.code.githubhttps://github.com/PEDSnet/CNS_TTE_RECOVER
local.code.githubhttps://github.com/PEDSnet/y3_q3_population
local.code.githubhttps://github.com/PEDSnet/recover_pasc_subphenotype_manuscript
local.code.githubhttps://github.com/PEDSnet/recover_growth_trajectories
local.code.githubhttps://github.com/PEDSnet/y3q2_chronic_conditions
local.code.githubhttps://github.com/PEDSnet/y3_q2_medications
local.code.githubhttps://github.com/PEDSnet/y3q3_pasc_cp_subpheno
local.code.githubhttps://github.com/PEDSnet/recover_incidence_pasc_manuscript
local.code.githubhttps://github.com/PEDSnet/y3q4_cancer_incidence
local.code.githubhttps://github.com/PEDSnet/y3_q4_cardiac
local.code.githubhttps://github.com/PEDSnet/recover_note_dq
local.code.githubhttps://github.com/PEDSnet/RECOVER_CNS_TTE
local.code.githubhttps://github.com/PEDSnet/y4_ja_rare_cancers
local.code.githubhttps://github.com/PEDSnet/y3q1_labs_query
local.code.githubhttps://github.com/PEDSnet/pasc_ml_phenotype
local.code.githubhttps://github.com/PEDSnet/COVID19_Severity
local.code.githubhttps://github.com/PEDSnet/PASC
local.code.githubhttps://github.com/PEDSnet/pasc_dx_cp
local.code.githubhttps://github.com/PEDSnet/recover_fx_outcomes
local.code.githubhttps://github.com/PEDSnet/recover_functional_outcomes
local.code.githubhttps://github.com/PEDSnet/cov-subsequent-infections
local.contributor.siteLeadPEDSnet Data Coordinating Center
local.contributor.siteSponsorPEDSnet Data Coordinating Center
local.contributor.sitesCincinnati Children's Hospital Medical Center
local.contributor.sitesChildren's Hospital of Philadelphia
local.contributor.sitesChildren's National Hospital
local.contributor.sitesAnn & Robert H. Lurie Children's Hospital of Chicago
local.contributor.sitesNationwide Children's Hospital
local.contributor.sitesNemours Children's Health
local.contributor.sitesSeattle Children's Hospital
local.contributor.sitesStanford Children's Health
local.identifier.pedsnetid2021.FORC.NIH.DCC
project.endDate2026-05
project.startDate2021-10
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