Current Issue : October-December Volume : 2025 Issue Number : 4 Articles : 5 Articles
Background and Objectives: Upper tract urothelial carcinoma (UTUC) is one of the most underdiagnosed but, at the same time, one of the most lethal cancers. In this review article, we investigated the application of artificial intelligence and novel technologies in the prompt identification of high-grade UTUC to prevent metastases and facilitate timely treatment. Materials and Methods: We conducted an extensive search of the literature from the Pubmed, Google scholar and Cochrane library databases for studies investigating the application of artificial intelligence for the diagnosis of UTUC, according to the PRISMA guidelines. After the exclusion of non-associated and non-English studies, we included 12 articles in our review. Results: Artificial intelligence systems have been shown to enhance post-radical nephroureterectomy urine cytology reporting, in order to facilitate the early diagnosis of bladder recurrence, as well as improve diagnostic accuracy in atypical cells, by being trained on annotated cytology images. In addition to this, by extracting textural radiomics features from data from computed tomography urograms, we can develop machine learning models to predict UTUC tumour grade and stage in small-size and especially high-grade tumours. Random forest models have been shown to have the best performance in predicting high-grade UTUC, while hydronephrosis is the most significant independent factor for high-grade tumours. ChatGPT, although not mature enough to provide information on diagnosis and treatment, can assist in improving patients’ understanding of the disease’s epidemiology and risk factors. Computer vision models, in real time, can augment visualisation during endoscopic ureteral tumour diagnosis and ablation. A deep learning workflow can also be applied in histopathological slides to predict UTUC protein-based subtypes. Conclusions: Artificial intelligence has been shown to greatly facilitate the timely diagnosis of high-grade UTUC by improving the diagnostic accuracy of urine cytology, CT Urograms and ureteroscopy visualisation. Deep learning systems can become a useful and easily accessible tool in physicians’ armamentarium to deal with diagnostic uncertainties in urothelial cancer....
Background: Chronic kidney disease (CKD) is a global health problem marked by a persistent deterioration in the function of the nephrons and kidneys. To identify novel therapies for CKD, we investigated the molecular targets associated with the initiation and progression of the disease. Methods: The transcriptional profile dataset of GSE42303 was downloaded from GEO (The Gene Expression Omnibus). Utilizing the R package limma, the differentially expressed genes (DEGs) were identified between control (Con) and unilateral ureteral obstruction (UUO) mice. Then, functional enrichment, protein– protein interactions (PPI) and subsequent hub genes were identified by multiple bioinformatics approaches. Further validations of these hub genes were confirmed through the GSE118339 dataset and in vivo experiments. Results: We found 381 DEGs between Con and UUO mice (308 up-regulated genes and 73 down-regulated genes). GO functions and pathway analysis indicated that DEGs were mainly enriched in activities associated with inflammation and fibrosis. The mRNA expressions of nine hub genes were identified and confirmed by dataset GSE118339 and in vivo experiments. Conclusions: The hub genes Fgg, Penk, Ckap4, and Gpc3 may be new prospective targets for the treatment of the initiation and progression of CKD....
Immunoglobulin A nephropathy (IgAN) is one of the most common forms of glomerulonephritis and one of the main causes of end-stage renal disease (ESRD), affecting up to 40% of patients after 20 years of the disease. Over the past few years, several studies have been conducted to search for biomarkers that can diagnose IgAN in a non-invasive way, select patients in the asymptomatic phase, assess the progression of the disease process and monitor its efficacy, and assess the risk of IgA nephropathy progression. Non-invasive investigations using molecules as an alternative to renal biopsy have potential relevance for diagnosis, the determination of treatment efficacy and the assessment of disease activity. For the early screening of IgAN with isolated haematuria, these factors may be useful for early intervention and result in a reduction in the risk of impaired renal function. The clinical studies discussed in this review underline that featured molecules show potential as biomarkers for the diagnosis and assessment of disease progress in IgAN....
Background and Objectives: Chronic kidney disease (CKD) is an increasingly significant global public health issue, with cardiovascular disease being the leading cause of mortality. Endothelial dysfunction plays a critical role, but diagnostic tools have certain limitations. Endocan, a soluble proteoglycan, emerged as a promising endothelial dysfunction marker and potential major adverse cardiovascular event (MACE) predictor in haemodialysis (HD) patients. Materials and Methods: In this single-centre, observational, prospective study, non-diabetic HD patients without prior MACEs were monitored. A total of 75 participants met the inclusion criteria. We measured serum endocan, standard biochemical and anthropometric parameters, and parameters of peripheral and central haemodynamics before and after HD in all participants. Results: Patients with higher endocan were older, had elevated CRP and reduced albumin concentrations, and often had a tunnelled central venous catheter (TCVC) for vascular access. Higher serum endocan levels were independently associated with an increased risk of MACEs (aHR = 4.09, 95%-CI: 1.72–9.74), MACE-related mortality (aHR = 2.64, 95%-CI: 1.23–5.66), and all-cause mortality (aHR = 1.86, 95%-CI: 1.07–3.23), both before and after adjusting for predefined confounders, with the highest endocan tercile exhibiting the shortest event-free survival. Conclusions: Endocan is a valuable marker of inflammation and endothelial dysfunction in non-diabetic HD patients. Its elevated concentration indicates an increased cardiovascular risk and more frequent MACEs. Future multicentre studies with repeated endocan assessments should validate its prognostic and diagnostic utility, particularly in long-term patient follow-up....
Infective endocarditis (IE) of the tricuspid and pulmonary valve accounts for 5 to 10% of all IE cases and, compared with left-sided IE, is often associated with intravenous (i.v.) drug use, presence of intracardiac devices, and central venous catheters (CVCs), including permanent—Hickman catheter (HC).We report a case of a 71-year-old female patient on a chronic hemodialysis (HD) program who had developed IE. Her first symptoms were fever and malaise. Transthoracic echocardiography (TTE) and transesophageal echocardiography (TEE) examinations were performed, revealing vegetations on the tip of HC and the anterior and posterior leaflets of the tricuspid valve (TV). Three blood culture bottles were positive for Enterococcus spp. The HC was replaced with a new CVC to continue HD. After a six-week antibiotic treatment, most clinical symptoms were resolved, and there was a decrease in vegetation size with normalization of inflammatory markers and negative follow-up blood cultures. After this initial improvement in the patient’s condition, the clinical course was complicated by the development of Citrobacter koseri bacteremia and sepsis. Despite adequate antibiotic therapy, the condition progressed to septic shock, which was soon followed by a fatal outcome. IE treatment in HD patients requires long-term broad-spectrum antibiotic therapy, and also, in patients without arteriovenous fistula (AVF), the CVC should be replaced after each HD during IE and sepsis treatment to minimize the patient’s exposure to a foreign body that is susceptible to bacterial colonization. A colonized foreign body is a focus for sustained and spreading infection, and its presence prevents adequate antibiotic treatment until the focus of infection is removed....
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