Urosepsis is a very serious condition with a high mortality rate. The immune response is in the center of pathophysiology. The therapeutic management of these patients includes surgical treatment of the source of infection, antibiotic therapy and life support. The management of this pathology is multidisciplinary and requires good collaboration between the urology, intensive care, imaging and laboratory medicine departments. An imbalance of pro and anti-inflammatory cytokines produced during sepsis plays an important role in pathogenesis. The study of cytokines in sepsis has important implications for understanding pathophysiology and for development of other therapeutic solutions. If not treated adequately, urosepsis may lead to serious septic complications and organ sequelae, even to a lethal outcome.

Background/Objectives: Sepsis is a severe medical condition characterized by a dysregulated host response to infection, with potentially fatal outcomes, requiring early diagnosis and rapid intervention. The limitations of traditional sepsis identification methods, as well as the complexity of clinical data generated in intensive care, have driven increased interest in applying artificial intelligence in this field. The aim of this narrative review article is to analyze how artificial intelligence is being used in the diagnosis and prognosis of sepsis, to present the most relevant current models and algorithms, and to discuss the challenges and opportunities related to integrating these technologies into clinical practice. Methods: We conducted a structured literature search for this narrative review, covering studies published between 2016 and 2024 in databases such as PubMed/Medline, Scopus, Web of Science, IEEE Xplore, and Google Scholar. The review covered models based on machine learning (ML), deep neural networks (DNNs), Recurrent Neural Networks (RNNs), and clinical alert systems implemented in hospitals. The clinical data sources used, algorithms applied, system architectures, and performance outcomes are presented. Results: Numerous artificial intelligence models demonstrated superior performance compared to conventional clinical scores (qSOFA, SIRS), achieving AUC values above 0.90 in predicting sepsis and mortality. Systems such as Targeted Real-Time Early Warning System (TREWS) and InSight have been clinically validated and have significantly reduced the time to treatment initiation. However, challenges remain, such as a lack of model transparency, algorithmic bias, difficulties integrating into clinical workflows, and the absence of external validation in multicenter settings. Conclusions: Artificial intelligence has the potential to transform sepsis management through early diagnosis, risk stratification, and personalized treatment. A responsible, multidisciplinary approach is necessary, including rigorous clinical validation, enhanced interpretability, and training of healthcare personnel to effectively integrate these technologies into everyday practice.

Background: Given the increasing rate of infections following hip arthroplasty, one of the current options is the application of a biocomposite at the site of the infection. One of the products used is Stimulan, a completely resorbable calcium sulfate, designed to treat acute and chronic infections. This biocomposite has a controlled purity, is easy to mix with liquid, powder, and antibiotics, and can be applied directly to the site of infection, or it can be injected. Methods: We analyzed data from 76 patients, who were admitted to the County Clinical Hospital of Emergency “St. Apostol Andrei” in Galati during January 2017–September 2023, with a diagnosis of infection associated with hip arthroplasty. Results: In 69.73% of cases (52 patients), we decided to keep the implant in place. In this subgroup, Stimulan was applied in 26 cases (57.78%). Of these, 100% were cured—compared to the subgroup in which Stimulan was not applied, where this percentage was lower. All patients underwent chemical and mechanical toileting, and for 24 patients (20.27%), it was necessary to ablate the implant with or without the application of Stimulan, then reimplantation of the prosthesis. Conclusions: The patients with Stimulan had a longer average length of hospitalization, almost half of them required intervention in two periods, and a quarter required the implantation of spacers. However, the cure rate was higher, only in three people could we not control the infection, and there was no death. This study confirms the effectiveness of the treatment when using a biocomposite in addition to the classical treatment for both acute and chronic cases.

Background and Objectives: Urothelial carcinoma (UC) is one of the most prevalent and lethal cancers worldwide. Identifying and understanding the factors that influence treatment outcome is essential for improving therapeutic effectiveness and predicting patient response. The objective of this review is to estimate how clinical, biochemical, molecular and therapeutic factors impact the prognosis of patients with advanced urothelial carcinoma (aUC) and metastatic urothelial carcinoma (mUC) treated with immune checkpoint inhibitors (ICIs). Methods: A review was performed using PubMed, Scopus and Web of Science databases. All articles were published from 2013 to 2025 focusing on prognostic factors in locally advanced and metastatic urothelial carcinoma treated with ICIs. Results: Clinical prognostic factors for patients treated with ICIs include poor Eastern Cooperative Oncology Group (ECOG) performance status and the presence of liver or bone metastases, both associated with poor outcomes. Low hemoglobin levels and several biochemical markers, such as high neutrophil-to-lymphocyte ratio (NLR), elevated systemic immune-inflammation index (SII) and low serum sodium are also associated with reduced survival. Programmed cell death-ligand 1 (PD-L1) expression shows predictive relevance for ICI response. Concomitant use of antibiotics or proton pump inhibitors (PPIs) may diminish immunotherapy effectiveness. Additionally, sarcopenia and high lactate dehydrogenase (LDH) levels correlate with poorer clinical outcomes. Conclusions: Prognostic outcomes in aUC and mUC are influenced by a complex interaction of clinical, biochemical and molecular factors. Integrative prognostic models are essential to the guidance of personalized immunotherapeutic strategies and the improvement of patient outcomes in aUC and mUC.

Background: Cardiac rhythm disorders in children and adolescents have a high incidence. In certain conditions, sudden death may occur. Materials and Methods: We conducted a prospective study including 199 patients divided into two subgroups: one subgroup of 80 practicing different sports and another one of 119 non-sportive, symptomatic patients. We studied all socio-demographic data, medical histories, and the elements revealed by the clinical and paraclinical examinations. Results: Only 39 (19.60%) participants did not practice any kind of sport; 46 participants had cases of sudden cardiac death in their families; 60.80% of children and adolescents were exposed to smoking; among the symptomatic group, symptoms like vertigo, chest pain, lipothymia, and palpitations predominated. Conclusions: A significant percentage of participants with heart rhythm disorders at risk for sudden death was identified. It is extremely important to identify and restrict them from intense physical exertion and to reassess them periodically in order to reduce the risk of sudden cardiac death.

Background: medical teams continue to face challenges with infections following hip replacement surgery, whether they occur shortly after the procedure or months or years later. Certain medical conditions like diabetes, rheumatoid arthritis, and obesity are risk factors that make patients more susceptible to infections. Traditional intervention methods such as DAIR, one-step, or two-step procedures are being enhanced and refined to ensure quicker and more effective treatment. Some cases present particularly difficult challenges, featuring persistent fistulas and unpredictable responses to treatment. Methods: in our article, we share two unique cases, detailing their histories, progressions, and treatment decisions. We explore the use of antibiotic-impregnated calcium biocomposite as a local adjuvant therapy and the application of negative pressure therapy to expedite healing. The system of NWPT has seen widespread uptake and is now implemented routinely for open wounds, such as open fractures, fasciotomies, ulcers, and infected wounds. Results: our findings demonstrate that surgical debridement and calcium sulfate bead insertion successfully treat bone and joint infections without causing any side effects or complications. As a particularity, in the first case, we encountered the exteriorization of Stimulan pearls after surgery, without other complications related to the biocomposite. Conclusions: we have found that NPWT is a beneficial tool in managing complex wounds in both acute and chronic stages, after the infection is cured, reducing the need for frequent dressing changes, shortening hospital stays, and enhancing patient comfort.