A personalised algorithm predicting the risk of intravenous corticosteroid failure in acute ulcerative colitis.
Anthony CroftSatomi OkanoGunter HartelAnton LordGareth J WalkerGeorge TambakisGraham L Radford-SmithPublished in: Alimentary pharmacology & therapeutics (2024)
These pragmatic personalised risk scores (available at www.severecolitis.com) have comparably strong performance characteristics and usability enabling the identification of individuals at high risk of corticosteroid non-response before or after endoscopic assessment. The ROR scores have the potential to challenge conventional acute UC treatment paradigms by identifying patients who may benefit from early rescue therapy or participation in relevant clinical trials.
Keyphrases
- liver failure
- clinical trial
- respiratory failure
- ulcerative colitis
- drug induced
- aortic dissection
- machine learning
- deep learning
- hepatitis b virus
- randomized controlled trial
- ultrasound guided
- health information
- healthcare
- electronic health record
- climate change
- mechanical ventilation
- neural network
- acute respiratory distress syndrome
- risk assessment
- phase iii