P168 Development of predictive model for early detection of Inflammatory Bowel Disease in Korea
| Autor: | C Lee, S J Koh, K Choi, H J Lee, J P Im, J S Kim |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Journal of Crohn's and Colitis. 17:i325-i326 |
| ISSN: | 1876-4479 1873-9946 |
| DOI: | 10.1093/ecco-jcc/jjac190.0298 |
| Popis: | Background Diagnostic delay in inflammatory bowel disease (IBD) was frequent and may be associated with poor outcomes. The aim of this study was to develop a predictive model for early diagnosis of IBD. Methods From March 2020 to January 2022, a 15-item Red Flags questionnaire was administered to all patients who visited outpatient clinic with gastrointestinal symptoms suspected of IBD. All patients underwent additional diagnostic tests to confirm IBD. We estimated a model that could predict the early diagnosis of IBD using questionnaire and laboratory test results. Results A total of 186 patients were enrolled in this study and 114 (61.2%) patients were finally confirmed with IBD. The logistic regression identified 4-item independently associated with a diagnosis of IBD. 1) Perianal fistula/abscess or perianal lesions (apart from hemorrhoids) (OR, 2.6; p=0.044). 2) Chronic abdominal pain/discomfort (>3 months) (OR, 0.3; p=0.013). 3) Rectal bleeding (OR, 7.4; p Conclusion The predictive model for early diagnosis of IBD has a high predictive value. The model allows for early detection of IBD from non-IBD patients. |
| Databáze: | OpenAIRE |
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