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Dataset Information

Development and validation of multivariable prediction models for adverse COVID-19 outcomes in patients with IBD.


ABSTRACT:

Objectives

Develop an individualised prognostic risk prediction tool for predicting the probability of adverse COVID-19 outcomes in patients with inflammatory bowel disease (IBD).

Design and setting

This study developed and validated prognostic penalised logistic regression models using reports to the international Surveillance Epidemiology of Coronavirus Under Research Exclusion for Inflammatory Bowel Disease voluntary registry from March to October 2020. Model development was done using a training data set (85% of cases reported 13 March-15 September 2020), and model validation was conducted using a test data set (the remaining 15% of cases plus all cases reported 16 September-20 October 2020).

Participants

We included 2709 cases from 59 countries (mean age 41.2 yea

SUBMITTER: Sperger J 

PROVIDER: S-EPMC8593277 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature