Randall, Charles

Abstract Electronic medical records (EMRs) have gained widespread use in clinical practice and by default serve as a large patient database with potential for use in clinical research. Although there remains significant interest in leveraging EMRs for research purposes, extraction of data has proven to be complex and with insufficient accuracy. We describe the limitations of an EMR in our attempt to conduct a seemingly simple study aimed at validating variables identified in the PRECiSE 3, a 7-year open label safety and efficacy study of certolizumab pegol in Crohn’s disease that identified clinical factors that predicted both short- and long-term efficacy. A multicenter, retrospective cohort study from 8 academic and large community practices was performed, and data were collected from each respective EMR. Significant challenges with reliable capture of key data elements were encountered, and overall a screen fail rate of 91.8% across all sites was seen. We describe these challenges and potential future directions to work together to advance accuracy and implementation of the use of EMRs in inflammatory bowel disease.

SUMMARYBackgroundClinical factors were previously identified as predictors of short‐term treatment efficacy in Crohn's disease (CD). The PRECiSE 3 (P3) 7‐year trial provides an opportunity to study predictors of short‐ and long‐term clinical remission among CD patients treated with certolizumab pegol (CZP).AimTo identify factors that influence long‐term remission of CD with CZP treatment.MethodsPatients who had completed placebo‐controlled studies (PRECiSE 1/PRECiSE 2, P1/P2) enrolled in P3 and received open‐label CZP 400 mg every 4 weeks up to 7 years. Baseline predictors included, but were not limited to, smoking status, disease duration, prior inflammatory bowel disease (IBD) surgery, Harvey–Bradshaw Index (HBI), albumin, haematocrit and CZP exposure; association with time to initial remission (HBI ≤4) was tested for patients who received CZP in P1/P2; time to loss of remission/frequency of maintenance of remission was also tested. Univariate analyses and multivariate Cox or logistic regression models were used.ResultsPredictors for initial remission (N = 377) included age, haematocrit, prior IBD surgery and entry HBI (P < 0.05 for all). Predictors for loss of remission (N = 437) included HBI, serum albumin concentration, haematocrit, smoking status and exposure. Predictors of maintenance of remission (N = 437) included haematocrit, IBD surgery, HBI, disease duration, serum albumin concentration and exposure. Significant predictors were confirmed with stepwise multivariate regression models.ConclusionsThese analyses identified several influential parameters for short‐and long‐term remission of Crohn's disease with certolizumab pegol treatment. The data yield valuable hypotheses regarding factors that influence certolizumab pegol treatment. More investigation is needed.(ClinicalTrials.gov identifier NCT00552058).