Eddie X Shen1,2, Anton Lord1, James D Doecke3, Katherine Hanigan1, James Irwin1,4, Richard K Y Cheng1,4, Graham Radford-Smith1,2,4. 1. QIMR Berghofer Medical Research Institute, Brisbane, Qld, Australia. 2. Faculty of Medicine, University of Queensland, Brisbane, Qld, Australia. 3. CSIRO Health and Biosecurity/Australian e-Health Research Centre, Brisbane, Qld, Australia. 4. Department of Gastroenterology and Hepatology, Royal Brisbane and Women's Hospital, Brisbane, Qld, Australia.
Abstract
BACKGROUND: Delays in Crohn's disease (CD) diagnosis are positively associated with ileal location and an increased risk of complications. AIM: To develop a simple risk assessment tool to enable primary care physicians to recognise potential ileal CD earlier, shortening the delay to specialist investigation METHODS: Three cohorts were acquired for this study. Cohort 1 included 61 patients retrospectively identified with ileal CD between 2000 and 2010 and 78 matched controls drawn from a cohort referred for investigation of abdominal symptoms. Cohort 2 included 42 individuals diagnosed with ileal CD and 57 controls identified prospectively. Cohort 3 included an additional 84 individuals with ileal CD and 495 without CD referred for colonoscopy. Clinical symptoms and serological biomarkers were acquired and used to develop a risk prediction algorithm. The algorithm was trained independently on each of the three cohorts and tested on the latter two cohorts. RESULTS: Altered bowel habit with abdominal pain combined with derangements in white cell count (WCC), albumin and platelet counts were important features in predicting ileal CD (AUC = 0.92, 95% CI = 0.89-0.92). This was validated in cohorts 2 (AUC = 0.96, 95% CI = 0.95-0.98) and 3 (AUC = 0.94, 95% CI = 0.92-0.96). C-reactive protein was independently associated with ileal CD but non-signficant in a multivariate model. CONCLUSION: A web-based risk stratification tool for ileal CD has been developed from objective and symptom-based criteria. This tool enables primary care physicians to more confidently request urgent specialist assessment for patients identified as at high risk for ileal CD.
BACKGROUND: Delays in Crohn's disease (CD) diagnosis are positively associated with ileal location and an increased risk of complications. AIM: To develop a simple risk assessment tool to enable primary care physicians to recognise potential ileal CD earlier, shortening the delay to specialist investigation METHODS: Three cohorts were acquired for this study. Cohort 1 included 61 patients retrospectively identified with ileal CD between 2000 and 2010 and 78 matched controls drawn from a cohort referred for investigation of abdominal symptoms. Cohort 2 included 42 individuals diagnosed with ileal CD and 57 controls identified prospectively. Cohort 3 included an additional 84 individuals with ileal CD and 495 without CD referred for colonoscopy. Clinical symptoms and serological biomarkers were acquired and used to develop a risk prediction algorithm. The algorithm was trained independently on each of the three cohorts and tested on the latter two cohorts. RESULTS:Altered bowel habit with abdominal pain combined with derangements in white cell count (WCC), albumin and platelet counts were important features in predicting ileal CD (AUC = 0.92, 95% CI = 0.89-0.92). This was validated in cohorts 2 (AUC = 0.96, 95% CI = 0.95-0.98) and 3 (AUC = 0.94, 95% CI = 0.92-0.96). C-reactive protein was independently associated with ileal CD but non-signficant in a multivariate model. CONCLUSION: A web-based risk stratification tool for ileal CD has been developed from objective and symptom-based criteria. This tool enables primary care physicians to more confidently request urgent specialist assessment for patients identified as at high risk for ileal CD.
Authors: Ryan W Stidham; Yumu Liu; Binu Enchakalody; Tony Van; Venkataramu Krishnamurthy; Grace L Su; Ji Zhu; Akbar K Waljee Journal: Inflamm Bowel Dis Date: 2021-07-27 Impact factor: 5.325