Clustering Disease of Clostridioides Difficile Infection: Implication for the Management in Internal Medicine

Abstract

Clostridioides difficile is a bacterium responsible for a healthcare-associated gastrointestinal infection, primarily affecting people who have undergone prolonged antibiotic treatment or who have compromised immune systems. The CD is of particular concern due to its high recurrence rates and the potential for serious outcomes, including life-threatening conditions such as pseudomembranous colitis, septic shock, and all associated conditions. Since this infection is a disease associated with other health conditions, a general vision of the problems is necessary which aims to obtain a general overview of the manifestations that generally correlate with care. Clinical reasoning following the disease-clustering method is able to produce a categorization process by grouping the possible correlations of the various conditions or factors underlying diseases on the basis of certain similarities or common models. The clustering process is performed using data analysis techniques which, by statically correlating each other, give an exact dimension of all the information related to a particular disease. In the case of CD, reasoning based on disease clustering has better clarified the practices, appropriateness in infection control, judicious use of antibiotics, and research into therapeutic and preventive strategies. This review, taking advantage of the clustering strategy, aimed to analyze the contingent conditions of the infection under examination, to reduce the incidence and impact of CD, having as its mission the improvement of the results deriving from the contrast of all those correlated pathological conditions to healthcare for the improvement of public health.