Characterizing Disease Trajectory for Improving Treatment in Pediatric Crohn's Disease


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dc.contributorNational Institutes of Health
dc.contributor.authorHuang, Jing
dc.contributor.otherChildren's Hospital of Philadelphia
dc.date.accessioned2024-07-09T19:50:28Z
dc.date.available2024-07-09T19:50:28Z
dc.descriptionCrohn's disease (CD) is a serious chronic inflammatory bowel disease (IBD) which was once considered rare in the pediatric population. Recently it has been recognized as one of the most important chronic. diseases that affect children and adolescents, with increasing incidence in youths of varying ages1-4. As childhood is a time of physical, emotional, and social maturation, onset of CD in childhood can seriously delay growth, jeopardize mental health, and the negative impact may last a lifetime. In current PCD research, disease activity is commonly evaluated at pre-specified time points post treatment for comparison of treatments and prediction of long-term outcomes. Findings from these studies are based on snapshots of patients' responses, with limited information on disease activity between the time points. In addition, discrete analyses of disease activity fail to provide insights on functional relationship between disease activity and other health outcomes, which is essential for selection of treatment to induce and maintain remission while optimizing the patient's well-being. #### Project Aims 1. To characterize disease trajectory and identify unique patterns to explain heterogeneity of disease. trajectory using EHR data. 2. To identify PCD subgroups and build dynamic prediction for long-term PCD outcomes by incorporating information in disease trajectory. 3. To develop applications and software to assist clinical decision-makings.
dc.description.abstractStudy to characterize disease trajectory and identify unique patterns to explain heterogeneity of diseasetrajectory using EHR data, and to identify pediatric crohns disease (PCD) subgroups and build dynamic prediction for long-term PCD outcomes by incorporating information in disease trajectory.
dc.identifier.urihttps://hdl.handle.net/20.500.14642/697
dc.publisherPEDSnet
dc.relation.isreferencedbyZhang D, Tong J, Stein R, et al. 2024. "One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites." _J Biomed Inform_. 2024;150:104595. <br> DOI: [10.1016/j.jbi.2024.104595](doi.org/10.1016/j.jbi.2024.104595)
dc.rightsa CC-BY 4.0 Attribution license.
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.subjectPEDSnet Data Source
dc.subjectFederally-Funded Research
dc.subject.meshCrohn Disease
dc.subject.meshInflammatory Bowel Diseases
dc.subject.meshIntestinal Diseases
dc.subject.meshGastroenteritis
dc.subject.meshDigestive System Diseases
dc.titleCharacterizing Disease Trajectory for Improving Treatment in Pediatric Crohn's Disease
dc.title.alternative2019.HUAJ.NIH.CHOP
dspace.entity.typeStudy
local.admin.noteStudy PM: Rochelle Jordan, Study Analysts: UNKNOWN https://chop365.sharepoint.com/:f:/r/teams/RSCH-ACRC/Shared%20Documents/PEDSnet/PEDSnet%20Studies/Active%20Studies/Chen-Huang%20projects/Huang%20Ped%20Crohn%27s%20(R01)?csf=1&web=1&e=wFSszu
local.contributor.siteLeadChildren's Hospital of Philadelphia
project.endDate2024-05
project.startDate2019-08
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