Jung Ho Bae1, Sang Hyoung Park, Byong Duk Ye, Seon-Ok Kim, Yun Kyung Cho, Eun Ja Youn, Ho-Su Lee, Sung Wook Hwang, Dong-Hoon Yang, Kyung-Jo Kim, Jeong-Sik Byeon, Seung-Jae Myung, Suk-Kyun Yang. 1. *Department of Internal Medicine and Healthcare Research Institute, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Korea; †Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea; ‡Inflammatory Bowel Disease Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea; and §Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Abstract
BACKGROUND: Although colonoscopy is useful for differentiating between Crohn's disease (CD) and intestinal tuberculosis (ITB), the technique has limitations. We developed a practical prediction model for differentiating between CD and ITB using laboratory and radiologic parameters and colonoscopic characteristics. METHODS: We prospectively enrolled 80 patients newly diagnosed with CD (n = 40) and ITB (n = 40). We developed a new prediction score by integrating colonoscopic, laboratory, and radiologic parameters. The score's predictive ability was validated on an additional 37 patients. RESULTS: The accuracy of colonoscopic scoring for differentiation was 81.2% (65/80), with 65.0% sensitivity for CD and 97.5% for ITB. In multivariate analysis, positive IgA and/or IgG anti-Saccharomyces cerevisiae antibody and involvement of the proximal intestine were the independent laboratory and radiologic parameters for CD, and positive QuantiFERON-TB Gold In-Tube Test and typical pulmonary TB findings were the parameters for ITB. A new prediction scoring combining colonoscopic, laboratory, and radiologic factors increased the accuracy of diagnosis from 81.2% to 96.3% (77/80). The CD prediction score (from -2 to 2) estimated the likelihood of CD, from 0.3% for patients scoring -2 to 100% for patients scoring 2. The area under the receiver operating characteristic curve of the score was 0.990 in the development group and 0.981 in the validation group. CONCLUSIONS: The new prediction model using a CD prediction score can be useful for calculating the probability of either CD or ITB at initial evaluation (NCT01392365).
BACKGROUND: Although colonoscopy is useful for differentiating between Crohn's disease (CD) and intestinal tuberculosis (ITB), the technique has limitations. We developed a practical prediction model for differentiating between CD and ITB using laboratory and radiologic parameters and colonoscopic characteristics. METHODS: We prospectively enrolled 80 patients newly diagnosed with CD (n = 40) and ITB (n = 40). We developed a new prediction score by integrating colonoscopic, laboratory, and radiologic parameters. The score's predictive ability was validated on an additional 37 patients. RESULTS: The accuracy of colonoscopic scoring for differentiation was 81.2% (65/80), with 65.0% sensitivity for CD and 97.5% for ITB. In multivariate analysis, positive IgA and/or IgG anti-Saccharomyces cerevisiae antibody and involvement of the proximal intestine were the independent laboratory and radiologic parameters for CD, and positive QuantiFERON-TB Gold In-Tube Test and typical pulmonary TB findings were the parameters for ITB. A new prediction scoring combining colonoscopic, laboratory, and radiologic factors increased the accuracy of diagnosis from 81.2% to 96.3% (77/80). The CD prediction score (from -2 to 2) estimated the likelihood of CD, from 0.3% for patients scoring -2 to 100% for patients scoring 2. The area under the receiver operating characteristic curve of the score was 0.990 in the development group and 0.981 in the validation group. CONCLUSIONS: The new prediction model using a CD prediction score can be useful for calculating the probability of either CD or ITB at initial evaluation (NCT01392365).
Authors: Christopher Andrew Lamb; Nicholas A Kennedy; Tim Raine; Philip Anthony Hendy; Philip J Smith; Jimmy K Limdi; Bu'Hussain Hayee; Miranda C E Lomer; Gareth C Parkes; Christian Selinger; Kevin J Barrett; R Justin Davies; Cathy Bennett; Stuart Gittens; Malcolm G Dunlop; Omar Faiz; Aileen Fraser; Vikki Garrick; Paul D Johnston; Miles Parkes; Jeremy Sanderson; Helen Terry; Daniel R Gaya; Tariq H Iqbal; Stuart A Taylor; Melissa Smith; Matthew Brookes; Richard Hansen; A Barney Hawthorne Journal: Gut Date: 2019-09-27 Impact factor: 23.059