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• W2744990178 abstract "Abstract Background and Aim Knowledge of long‐term outcomes following an index episode of acute severe colitis (ASC) can help informed decision making at a time of acute exacerbation especially when colectomy is an option. We aimed to identify long‐term outcomes and their predictors after a first episode of ASC in a large North Indian cohort. Methods Hospitalized patients satisfying Truelove and Witts' criteria under follow‐up at a single center from January 2003 to December 2013 were included. Patients avoiding colectomy at index admission were categorized as complete (≤ 3 non bloody stool per day) or incomplete responders, based upon response to corticosteroids at day 7. Random Forest‐based machine learning models were constructed to predict the long‐term risk of colectomy or steroid dependence following an index episode of ASC. Results Of 1731 patients with ulcerative colitis, 179 (10%) had an index episode of ASC. Nineteen (11%) patients underwent colectomy at index admission and 42 (26%) over a median follow‐up of 56 (1–159) months. Hazard ratio for colectomy for incomplete responder was 3.6 (1.7–7.5, P = 0.001) compared with complete responder. Modeling based on four variables, response at day 7 of hospitalization, steroid use during the first year of diagnosis, longer disease duration before ASC, and number of extra‐intestinal manifestations, was able to predict colectomy with an accuracy of 77%. Conclusions Disease behavior of ASC in India is similar to the West, with a third undergoing colectomy at 10 years. Clinical features, especially response at day 7 hospitalization for index ASC, can predict both colectomy and steroid dependence with reasonable accuracy." @default.
• W2744990178 created "2017-08-17" @default.
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• W2744990178 date "2018-02-22" @default.
• W2744990178 modified "2023-10-06" @default.
• W2744990178 title "Predictors of long-term outcomes in patients with acute severe colitis: A northern Indian cohort study" @default.
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• W2744990178 doi "https://doi.org/10.1111/jgh.13921" @default.
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