Diabetic nephropathy (DN) is the most common cause of end-stage renal disease (ESRD), both in the USA and in Europe; moreover, its incidence is rising worldwide. The main laboratory markers of DN progression are albuminuria and a reduction in glomerular filtration rates, although progression of the disease has been observed even in the absence of these biomarkers. Renal impairment, associated with diabetes, results from damage to the glomerular filtration barrier, at the level of highly differentiated glomerular epithelial cells: podocytes. These cells regulate glomerular filtration and many immunological processes occurring at this level. The earliest possible diagnosis of diabetic kidney disease (DKD) and implementation of intensive treatment offers the possibility of preventing or substantially delaying the onset of ESRD. In this article, we review various urinary biomarkers linked with glomerular podocyte cytophysiology as potentially sensitive diagnostic tools for the early detection of DKD. These biomarkers have predictive potential for assessing the progression toward end-stage nephropathy.

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. The main goal of the study was to assess the risk factors of the C. difficile infection in patients with chronic kidney disease (CKD). We evaluated the medical records of all patients treated at the Department of Nephrology and Renal Transplantation of the Research and Development Center in the Provincial Specialist Hospital in Wrocław, Poland, between February 2009 and May 2012, who developed diarrhea, abdominal pain and/or fever within 72 h after admission. In patients with these symptoms, an enzyme cassette immunoassay was performed to detect antigens of C. difficile toxins A and B in stool. There were 207 patients enrolled in the study, presented with the symptoms of the C. difficile infection. Out of these patients, 69 (33%) persons were positive for C. difficile toxins. Longer hospitalization time and lower initial serum albumin concentration significantly increased the risk of infection (p < 0.05). Apart from the C. difficile infection, age, the number of used antibiotics, longer hospitalization time, and lower initial serum albumin concentration significantly augmented the risk of death (p < 0.05). In patients with CKD, longer hospitalization time and lower serum albumin concentration significantly increased the risk of the C. difficile infection. The C. difficile infection, age, the number of used antibiotics, longer hospitalization time, and lower initial serum albumin concentration notably augmented the risk of death. Although the incidence of the C. difficile infection did not correlate with the estimated glomerular filtration rate (eGFR), 67% of patients who tested positive were class 5 of CKD, whereas only 5.7% were class 1.

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. The survey showed that age, poor kidney function, high Padua prediction score (PPS) and patients’ classification of care at admission, treatment with antibiotics, and time of its duration were significantly higher or more frequent among patients who suffered CDI. Whereas BMI, Norton scale (ANSS) and serum albumin concentration were significantly lowered among CDI patients. In a multivariate analysis we proved the stage of CKD and length of antibiotics use increased the risk of CDI, whereas higher serum albumin concentration and ANSS have a protective impact.

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.

Celiac disease (CD) is an immune-mediated disease, caused by gluten, occurring in people with genetic predisposition. The course of the disease can vary and includes both intestinal and extra-intestinal manifestations. Many patients are undiagnosed for many years and some of them, in particular with nonspecific symptoms or asymptomatic, might never be diagnosed. We present a rare case of a patient, who’s first and practically the only symptom of the disease was a pathological fracture of the ribs. In addition, despite the lack of clinical symptoms of malabsorption syndrome, malnutrition and proteinuria, we observed profound hypoalbuminemia and hypoproteinemia. This case suggests that CD diagnostic should be undertaken in evaluation of every patient with osteoporotic fractures and hypoalbuminemia.