Clinical Core
Clinical Core:
LEADS
Conor O’Neill, MD - Clinical Core Director, UCSF Director of the multidisciplinary spine service
Dennis Black, PhD - Co-Director, Epidemiologist/Biostatistician, UCSF Head of chronic diseases division
Patricia Zheng, MD- Co-Director, UCSF Specialist in physical medicine and rehabilitation
AIMS
To identify factors associated with response to cLBP treatment and heterogeneity of treatment effects.
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Design/perform a prospective, multicenter, longitudinal Clinical Cohort Study, n=400, capable of supporting deep phenotyping efforts of cLBP patients based on combined biopsychosocial variables.
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Design/perform a large site-less Digital eCohort Study, n=5000. This data will allow for testing and adoption of machine learning techniques reliant on large datasets to generate novel cLBP phenotyping algorithms.
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Develop a large central cLBP Data Warehouse (DW) to organize, integrate, maintain, and archive REACH-related data; this DW will be a pivotal data resource for the REACH research project, other members of the BACPAC consortium, and future cLBP researchers.
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APPROACH
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Longitudinal multicenter cohort
N=400
4 clinical sites (UCSF, UCD, UCI, UCSD)
Annual clinic visits up to 2 years of follow up
Regular phone and email follow-up visits
Measurements:
NIH Pain Consortium minimum dataset
PROMIS-29
MRI (quantitative, MRS, clinical)
Quantitative Sensory Testing (QST)
Physical function testing (Kinect, Actigraphy, physical therapist assessment)
Genetic/biomarker testing & biospecimen archive
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eCohort
N=5000
Site-less
Enrollment/eConsent & potential f/u online-only
Collection of self-reported data and EHR data
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Measurements:
NIH Pain Consortium minimum dataset
PROMIS-29
eREACH Engagement Platform
INVEST: IncreasiNg diVErSiTy Study
A study for the improvement of racial and ethnic minority participation in low back pain research
eCohort
Brief online survey to learn more about the experiences of chronic low back pain among racial and ethnic minorities