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Cited 44 time in webofscience Cited 48 time in scopus
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Predictive Factors for Differentiating Between Crohn's Disease and Intestinal Tuberculosis in Koreans

Authors
Jung, YunhoHwangbo, YoungYoon, Soon ManKoo, Hoon SupShin, Hyun DeokShin, Jeong EunMoon, Hee SeokKang, Sang BumLee, Jeong RokHuh, Kyu Chan
Issue Date
Aug-2016
Publisher
Blackwell Publishing Inc.
Keywords
Crohn's Disease; Intestinal Tuberculosis
Citation
American Journal of Gastroenterology, v.111, no.8, pp 1156 - 1164
Pages
9
Journal Title
American Journal of Gastroenterology
Volume
111
Number
8
Start Page
1156
End Page
1164
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/8927
DOI
10.1038/ajg.2016.212
ISSN
0002-9270
1572-0241
Abstract
OBJECTIVES: A differential diagnosis between intestinal tuberculosis (ITB) and Crohn's disease (CD) is challenging. The aim of this study was to investigate the clinical, endoscopic, and histological features and to create a predictive score model for differentiating CD and ITB. METHODS: In total, 261 patients, 99 with ITB and 162 with CD, were recruited from seven tertiary centers from 2005 to 2013 and reviewed retrospectively. For the creation of a validated model, parameters were selected by univariate logistic regression and receiver operating characteristic curve analyses. Then, the prediction model was established on the basis of beta-coefficients of the multivariate logistic regression. For the validation of the model, the same regression equation was tested on the other group. RESULTS: Age, diarrhea, ring-shaped ulcer, longitudinal ulcer, sigmoid involvement, suspicious radiological pulmonary tuberculosis, and gender were selected as the factors for a seven-marker model. In the seven-marker model of the validation data set, the sensitivity, specificity, positive predictive value, and negative predictive value with a cutoff level of 0.35 were 98.0, 92.4, 88.9, and 98.6, respectively. CONCLUSIONS: The seven-marker model seems to be highly reliable for differentiating between ITB and CD and could be conveniently used by clinicians to obtain results.
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