Observational studyArquivos de gastroenterologia2026
GENERATIVE AI TOWARDS A COMPARATIVE ANALYSIS OF HOSPITALIZATION RATES AMONG PATIENTS WITH ULCERATIVE COLITIS TREATED WITH INFLIXIMAB, VEDOLIZUMAB, AND TOFACITINIB IN THE PUBLIC HEALTHCARE SYSTEM IN BRAZIL: A NATIONWIDE STUDY.
Observational study in Arquivos de gastroenterologia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
objectiveUlcerative colitis (UC) is a chronic inflammatory bowel disease that requires advanced therapies, including infliximab, vedolizumab, and tofacitinib. Our aim is to understand the hospitalization rates and outcomes associated with these therapies in real-world scenarios, which is crucial for optimizing patient management and healthcare resource allocation.
methodsThis nationwide retrospective observational study analyzed real-world data (RWD) from Brazil's public healthcare system (SUS) between January 2021 and December 2023. Data on hospitalizations, length of stay, mortality, costs, and non-IBD-related hospital admissions were extracted and analyzed using the Techtrials TT Disease Explorer and TT RWE Generator, leveraging generative artificial intelligence (GenAI) for data integration and analysis.
resultsA total of 1,313 patients required hospitalization, with 1,434 hospitalizations recorded. The hospitalization rate per 100 patients was highest for tofacitinib (262.5), followed by infliximab (212.88) and vedolizumab (191.67). Patients treated with infliximab had the shortest hospital stay (Median 3.0 days [0-68]) and lowest costs (Median 510.83 BRL [23.45 - 111,594.14]), whilst vedolizumab had the highest hospitalization costs. Surgical intervention rates were highest among tofacitinib users. Non-IBD-related hospitalizations suggested potential adverse drug events, including gastrointestinal disorders, infections, and anemia.
conclusionThis study represents the first AI-assisted RWE analysis of UC hospitalizations in Brazil. The findings highlight the varying hospitalization burdens across advanced therapies, with tofacitinib associated with higher hospitalization rates and infliximab linked to shorter hospital stays and lower costs. These insights can inform clinical decision-making and healthcare policy. Future studies should further explore AI's role in optimizing RWE research and UC management.
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