The Artificial Neural Network as a Diagnostic Tool of the Risk of Infection among Patients with Chronic Kidney Disease.

The majority of recently published studies indicate a greater incidence and mortality due to 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.

Clinical Determinants Predicting Infection among Patients with Chronic Kidney Disease.

The majority of recently published studies indicate a greater incidence rate and mortality due to Clostridioides difficile infection (CDI) in patients with chronic kidney disease (CKD). The aim of this study was to assess the clinical determinants predicting CDI among hospitalized patients with CKD and refine methods of prevention. We evaluated the medical records of 279 patients treated at a nephrological department with symptoms suggesting CDI, of whom 93 tested positive for CDI.

Risk factors of the Clostridium difficile infection in patients with chronic kidney disease.

Background: Clostridium difficile (C. difficile) is a Gram-positive bacillus responsible for diarrhea and colitis, mainly among hospitalized patients. It is a leading cause of nosocomial infections.

[Rapid progressive glomerulonephritis (RPGN) and skin involvement as a clinical manifestation of vasculitis: a case report].

Systemic vasculitis is a heterogeneous group of diseases characterized by infiltrates consisting of neutrophils infiltrated the walls of blood vessels of various caliber. The most common clinical manifestation is renal involvement, nervous system, lungs and skin. These disorders may be manifested by changes in the image of urine in the form of a nephritic syndrome, deterioration of renal function, haemoptysis and ulceration of the skin.