JCM, Vol. 12, Pages 4751: The Artificial Neural Network as a Diagnostic Tool of the Risk of Clostridioides difficile Infection among Patients with Chronic Kidney Disease

JCM, Vol. 12, Pages 4751: The Artificial Neural Network as a Diagnostic Tool of the Risk of Clostridioides difficile Infection among Patients with Chronic Kidney Disease

Journal of Clinical Medicine doi: 10.3390/jcm12144751

Authors: Jakub Stojanowski Andrzej Konieczny Łukasz Lis Weronika Frosztęga Patrycja Brzozowska Anna Ciszewska Klaudia Rydzyńska Michał Sroka Kornelia Krakowska Tomasz Gołębiowski Zbigniew Hruby Mariusz Kusztal Magdalena Krajewska

The majority of recently published studies indicate a greater incidence and mortality due to Clostridioides difficile infection (CDI) in patients with chronic kidney disease (CKD). Hospitalization, older age, the use of antibiotics, immunosuppression, proton pump inhibitors (PPI), and chronic diseases such as CKD are responsible for the increased prevalence of infections. The aim of the study is to identify clinical indicators allowing, in combination with artificial intelligence (AI) techniques, the most accurate assessment of the patients being at elevated risk of CDI.