Jie Chen, Yue Zhang, Qiong Guo, Tianqi Ren, Nana Tang, Han Chen, Hongjie Zhang
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引用次数: 0
Abstract
Background and aims: Acute severe ulcerative colitis (ASUC) is strongly associated with poor prognosis. We aimed to establish and validate a model predicting ASUC occurrence within 1 year after ulcerative colitis(UC) diagnosis.
Methods: A cohort of UC patients diagnosed between 2018 and 2020 at Northern Jiangsu People's Hospital, who were followed up for one year, was used to develop a risk prediction model. An independent cohort from January to December 2021, monitored until December 2022 at the at the First Affiliated Hospital of Nanjing Medical University, was used for external validation. A multivariable logistic regression analysis was conducted to investigate the adjusted association between six risk factors and ASUC. Subsequently, a simplified model was developed by eliminating a relatively insignificant risk factor to create an easy-to-use index.
Results: The prediction model incorporates five parameters: disease extent, endoscopic appearance, histopathology, baseline response medication, and relapse frequency. It generates a nomogram in the end. The discriminant ability (c-index) was separately calculated as 0.982 and 0.925 in the development and validation cohorts.
Conclusions: The risk prediction model for developing ASUC within one year demonstrated excellent reliability and validity, which could be a straightforward and clinically valuable tool for predicting ASUC occurrence within 1 year.
期刊介绍：
The enormous health and economic burden of gastrointestinal disease worldwide warrants a sharp focus on the etiology, epidemiology, prevention, diagnosis, treatment and development of new therapies. By the end of the last century we had seen enormous advances, both in technologies to visualize disease and in curative therapies in areas such as gastric ulcer, with the advent first of the H2-antagonists and then the proton pump inhibitors - clear examples of how advances in medicine can massively benefit the patient. Nevertheless, specialists face ongoing challenges from a wide array of diseases of diverse etiology.
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