The Urosepsis-A Literature Review

Application of a Two-Phase Experiment Design and Optimization Method to Formulate Ciprofloxacin-Loaded Bovine Serum Albumin Nanoparticles with High-Entrapment Efficiency for Targeting Urinary Tract Infections

Urinary tract infections (UTIs), predominantly caused by uropathogenic Escherichia coli (UPEC), pose a global health concern due to rising antibiotic resistance and biofilm formation. Albumin nanoparticles (NPs) offer a promising strategy for UTI treatment, with site-specific selectivity, improved bioavailability, and sustained drug release. This study focused on developing an optimized method for formulating ciprofloxacin-loaded albumin nanoparticles (CPF-loaded BSA NPs) to treat UPEC and its biofilms effectively. A desolvation method was used to synthesize the nanoparticles, and a two-phase experimental design was used for optimization. Evaluation parameters included size, polydispersity index, zeta potential, morphology, encapsulation efficiency, drug release, storage stability, cytotoxicity, and effectiveness against UPEC. The optimized CPF-loaded BSA NPs exhibited desirable characteristics such as small particle size (123 nm), low polydispersity index (0.178), optimum zeta potential (-31.8), and high encapsulation efficiency (> 80%). They also exhibited low cytotoxicity, high stability, and sustained drug release, making them an ideal drug delivery system. Critically, they demonstrated effectiveness against UPEC and its biofilm. This study suggests that the optimized CPF-loaded BSA NPs, synthesized using our optimized desolvation technique, hold the potential for effectively treating UTIs caused by UPEC.

Recurrent Urosepsis Following Stent Removal for Ureteral Stones: A Case Report

Urosepsis, a severe infection originating from the urinary tract, can be life-threatening. We present the case of a 56-year-old female who developed urosepsis twice within 15 days, each episode occurring shortly after stent removal. Ureteroscopy with stent placement was initially performed to treat a 12-mm stone in the distal left ureter. Although the stent was removed only after imaging showed no residual stones, sepsis developed shortly after, leading to another ureteroscopy and stent placement. Before the removal of the second stent, imaging again confirmed no stones were present, yet she experienced sepsis once more following the second stent removal. Further imaging studies during hospital admission for both episodes of sepsis revealed stone fragments and hydronephrosis which were missed during office evaluations. This case highlights the need for more effective imaging techniques to detect residual stones. The decision to place a stent after ureteroscopy for ureteral stone treatment should also be carefully considered, even for low-risk patients, to reduce infection risk.

Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values

This study aims to develop a machine learning model utilizing Computed Tomography (CT) values to predict systemic inflammatory response syndrome (SIRS) after endoscopic surgery for kidney stones. The goal is to identify high-risk patients early and provide valuable guidance for urologists in the early diagnosis and intervention of post-operative urosepsis. This study included 833 patients who underwent retrograde intrarenal surgery (RIRS) or percutaneous nephrolithotomy (PCNL) for kidney stones. Five machine learning algorithms and ten preoperative or intraoperative variables were used to develop a predictive model for SIRS. The SHapley Additive exPlanations (SHAP) method was used to explain the distribution of feature importance in the model's predictions. Among the 833 patients, 126 (15.1%) developed SIRS postoperatively. All five machine learning models demonstrated strong discrimination on the validation set (AUC: 0.690-0.858). The eXtreme Gradient Boosting (XGBoost) model was the best performer [AUC: 0.858; sensitivity: 0.877; specificity: 0.981; accuracy: 0.841; positive predictive value: 0.629; negative predictive value: 0.851]. The characteristic importance of the Machine Learning model (ML model) and SHAP results indicated Hounsfield Unit (HU), Urinary protein, Stone burden, and Serum uric acid as important predictors for the model. A machine learning model utilizing CT values was developed to predict postoperative SIRS in endoscopic kidney stone surgery. The model demonstrates strong predictive performance and can assist in assessing the risk of urosepsis in postoperative patients.

Culture and amplification-free nanopore sequencing for rapid detection of pathogens and antimicrobial resistance genes from urine

PURPOSE

Urinary Tract Infections (UTIs) are among the most prevalent infections globally. Every year, approximately 150 million people are diagnosed with UTIs worldwide. The current state-of-the-art diagnostic methods are culture-based and have a turnaround time of 2-4 days for pathogen identification and susceptibility testing.

METHODS

This study first establishes an optical density culture-based method for spiking healthy urine samples with the six most prevalent uropathogens. Urine samples were spiked at clinically significant concentrations of 103-105 CFU/ml. Three DNA extraction kits (BioStic, PowerFood, and Blood and Tissue) were investigated based on the DNA yield, average processing time, elution volume, and the average cost incurred per extraction. After DNA extraction, the samples were sequenced using MinION and Flongle flow cells.

RESULTS

The Blood and Tissue kit outperformed the other kits based on the investigated parameters. Using nanopore sequencing, all the pathogens and corresponding genes were only identified at a spike concentration of 105 CFU/ml, achieved after 10 min and 3 hours of sequencing, respectively. However, some pathogens and antibiotic-resistance genes (ARG) could be identified from spikes at 103 colony formation units (CFU/mL). The overall turnaround time was five hours, from sample preparation to sequencing-based identification of pathogen ID and antimicrobial resistance genes.

CONCLUSION

This study demonstrates excellent promise in reducing the time required for informed antibiotic administration from 48 to 72 h to five hours, thereby reducing the number of empirical doses and increasing the chance of saving lives.

Beyond Blood Clotting: The Many Roles of Platelet-Derived Extracellular Vesicles

Platelet-derived extracellular vesicles (pEVs) are emerging as pivotal players in numerous physiological and pathological processes, extending beyond their traditional roles in hemostasis and thrombosis. As one of the most abundant vesicle types in human blood, pEVs transport a diverse array of bioactive molecules, including growth factors, cytokines, and clotting factors, facilitating crucial intercellular communication, immune regulation, and tissue healing. The unique ability of pEVs to traverse tissue barriers and their biocompatibility position them as promising candidates for targeted drug delivery and regenerative medicine applications. Recent studies have underscored their involvement in cancer progression, viral infections, wound healing, osteoarthritis, sepsis, cardiovascular diseases, rheumatoid arthritis, and atherothrombosis. For instance, pEVs promote tumor progression and metastasis, enhance tissue repair, and contribute to thrombo-inflammation in diseases such as COVID-19. Despite their potential, challenges remain, including the need for standardized isolation techniques and a comprehensive understanding of their mechanisms of action. Current research efforts are focused on leveraging pEVs for innovative anti-cancer treatments, advanced drug delivery systems, regenerative therapies, and as biomarkers for disease diagnosis and monitoring. This review highlights the necessity of overcoming technical hurdles, refining isolation methods, and establishing standardized protocols to fully unlock the therapeutic potential of pEVs. By understanding the diverse functions and applications of pEVs, we can advance their use in clinical settings, ultimately revolutionizing treatment strategies across various medical fields and improving patient outcomes.

Nomogram predictive model for in-hospital mortality risk in elderly ICU patients with urosepsis

BACKGROUND

Urinary tract infection (UTI) is a common cause of sepsis. Elderly patients with urosepsis in intensive care unit (ICU) have more severe conditions and higher mortality rates owing to factors such as advanced age, immunosenescence, and persistent host inflammatory responses. However, comprehensive studies on nomograms to predict the in-hospital mortality risk in elderly patients with urosepsis are lacking. This study aimed to construct a nomogram predictive model to accurately assess the prognosis of elderly patients with urosepsis and provide therapeutic recommendations.

METHODS

Data of elderly patients with urosepsis were extracted from the Medical Information Mart for Intensive Care (MIMIC) IV 2.2 database. Patients were randomly divided into training and validation cohorts. A predictive nomogram model was constructed from the training set using logistic regression analysis, followed by internal validation and sensitivity analysis.

RESULTS

This study included 1,251 patients. LASSO regression analysis revealed that the Glasgow Coma Scale (GCS) score, red cell distribution width (RDW), white blood count (WBC), and invasive ventilation were independent risk factors identified from a total of 43 variables studied. We then created and verified a nomogram. The area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA) of the nomogram were superior to those of the traditional SAPS-II, APACHE-II, and SOFA scoring systems. The Hosmer-Lemeshow test results and calibration curves suggested good nomogram calibration. The IDI and NRI values showed that our nomogram scoring tool performed better than the other scoring systems. The DCA curves showed good clinical applicability of the nomogram.

CONCLUSIONS

The nomogram constructed in this study is a convenient tool for accurately predicting in-hospital mortality in elderly patients with urosepsis in ICU. Improving the treatment strategies for factors related to the model could improve the in-hospital survival rates of these patients.

Platelet-derived extracellular vesicles are associated with kidney injury in patients with urosepsis

BACKGROUND

There is increasing evidence that platelet-derived extracellular vesicles (PEVs) may be involved in the mechanisms of inflammatory storm and organ damage in sepsis. However, there are no available studies on PEVs and renal injury in patients with urosepsis.

METHODS

We analyzed the concentration and ratio of PEVs in plasma by flow cytometry and measured plasma IL-1β/IL-6/TNF-α/NGAL levels by ELISA. Correlation analysis was also used to examine the concentration of PEVs in relation to levels of inflammatory factors and indicators of kidney damage, as well as the severity of the disease. Finally, the receiver operating characteristic curves were produced for PEVs concentrations as a diagnosis of S-AKI/AKI.

RESULTS

We found significantly higher levels of IL-1β/IL-6/TNF-α/NGAL in patients with urogenital sepsis. Furthermore, the concentrations of PEVs in plasma were significantly elevated in patients with urosepsis, especially in patients with Gram-negative bacterial infections, which were significantly and positively correlated with IL-1β/IL-6/TNF-α/NGAL levels. The area under the curve for PEVs diagnosing S-AKI and AKI was 0.746 [0.484, 1.000] and 0.943 [0.874, 1.000] respectively.

CONCLUSION

Overall, the present study suggested that PEVs may mediate the release of inflammatory mediators in patients with urosepsis and participate in the mechanism of acute kidney injury, as well as having potential as diagnostic indicators of S-AKI and AKI and as early warning indicators of the severity of patients with urosepsis.

Role of MyD88-Adaptor-Like (MAL) Gene Polymorphism rs8177374 and Cytokine (IFN-γ, TNF-α, IL-10, TGF-β) Levels in Diverse Malaria Manifestations upon P. falciparum and P. vivax Infections

This study investigated the role of genetic variant rs8177374 in MAL/TIRAP gene in mediating the cytokine levels of IFN-γ, TNF-α, IL-10, and TGF-β in malaria patients due to Plasmodium falciparum or P. vivax infection. The study included human blood samples collected from patients with malaria (n = 228) and healthy controls (n = 226). P. falciparum and P. vivax groups were established based on the causative species of Plasmodium. Malaria samples were divided into mild and severe malaria groups based on the symptoms that appeared in the patients, according to the WHO criteria. In a previous study, we genotyped rs8177374 via allele specific PCR strategy. In this study, cytokine levels were estimated in the blood plasma of rs8177374 genotype samples via Sandwich Enzyme Linked Immunosorbent Assay kits. Increased IFN-γ and TNF-α levels in presence of CC genotype indicates the role of CC genotype in both severe and mild malaria groups. Enhanced IL-10 levels in the CT genotype and mild malaria groups suggest a role of CT genotype and IL-10 in the mild clinical outcomes of malaria. The rs8177374 polymorphism in MAL/TIRAP plays an important role in malaria pathogenesis.

Risk factors of concurrent urinary sepsis in patients with diabetes mellitus comorbid with upper urinary tract calculi

BACKGROUND

Urinary sepsis is frequently seen in patients with diabetes mellitus (DM) complicated with upper urinary tract calculi (UUTCs). Currently, the known risk factors of urinary sepsis are not uniform.

AIM

To analyze the risk factors of concurrent urinary sepsis in patients with DM complicated with UUTCs by logistic regression.

METHODS

We retrospectively analyzed 384 patients with DM complicated with UUTCs treated in People's Hospital of Jincheng between February 2018 and May 2022. The patients were screened according to the inclusion and exclusion criteria, and 204 patients were enrolled. The patients were assigned to an occurrence group (n = 78) and a nonoccurrence group (n = 126). Logistic regression was adopted to analyze the risk factors for urinary sepsis, and a risk prediction model was established.

RESULTS

Gender, age, history of lumbago and abdominal pain, operation time, urine leukocytes (U-LEU) and urine glucose (U-GLU) were independent risk factors for patients with concurrent urinary sepsis (P < 0.05). Risk score = 0.794 × gender + 0.941 × age + 0.901 × history of lumbago and abdominal pain - 1.071 × operation time + 1.972 × U-LEU + 1.541 × U-GLU. The occurrence group had notably higher risk scores than the nonoccurrence group (P < 0.0001). The area under the curve of risk score for forecasting concurrent urinary sepsis in patients was 0.801, with specificity of 73.07%, sensitivity of 79.36% and Youden index of 52.44%.

CONCLUSION

Sex, age, history of lumbar and abdominal pain, operation time, ULEU and UGLU are independent risk factors for urogenic sepsis in diabetic patients with UUTC.

Optical method supported by machine learning for urinary tract infection detection and urosepsis risk assessment

The study presents an optical method supported by machine learning for discriminating urinary tract infections from an infection capable of causing urosepsis. The method comprises spectra of spectroscopy measurement of artificial urine samples with bacteria from solid cultures of clinical E. coli strains. To provide a reliable classification of results assistance of 27 algorithms was tested. We proved that is possible to obtain up to 97% accuracy of the measurement method with the use of use of machine learning. The method was validated on urine samples from 241 patients. The advantages of the proposed solution are the simplicity of the sensor, mobility, versatility, and low cost of the test.

The Role of Biomarkers and Scores in Describing Urosepsis

Background and Objectives: Patients with urinary tract obstruction (UTO) and systemic inflammatory response syndrome (SIRS) are at risk of developing urosepsis, whose evolution involves increased morbidity, mortality and cost. The aim of this study is to evaluate the ability of already existing scores and biomarkers to diagnose, describe the clinical status, and predict the evolution of patients with complicated urinary tract infection (UTI) and their risk of progressing to urosepsis. Materials and Methods: We conducted a retrospective study including patients diagnosed with UTI hospitalized in the urology department of” Sfântul Apostol Andrei” County Emergency Clinical Hospital (GCH) in Galati, Romania, from September 2019 to May 2022. The inclusion criteria were: UTI proven by urine culture or diagnosed clinically complicated with UTO, fever or shaking chills, and purulent collections, such as psoas abscess, Fournier Syndrome, renal abscess, and paraurethral abscess, showing SIRS. The exclusion criteria were: patients age < 18 years, pregnancy, history of kidney transplantation, hemodialysis or peritoneal dialysis, and patients with missing data. We used the Sequential (Sepsis-Related) Organ Failure Assessment (SOFA) and qSOFA (quick SOFA) scores, and procalcitonin (PCT) to describe the clinical status of the patients. The Charlson Comorbidity Index (CCI) was used to assesses pre-existing morbidities. The hospitalization days and costs and the days of intensive care were considered. Depending on the diagnosis at admission, we divided the patients into three groups: SIRS, sepsis and septic shock. The fourth group was represented by patients who died during hospitalization. Results: A total of 174 patients with complicated UTIs were enrolled in this study. From this total, 46 were enrolled in the SIRS group, 88 in the urosepsis group, and 40 in the septic shock group. A total of 23 patients died during hospitalization and were enrolled in the deceased group. An upward trend of age along with worsening symptoms was highlighted with an average of 56.86 years in the case of SIRS, 60.37 years in the sepsis group, 69.03 years in the septic shock, and 71.04 years in the case of deceased patients (p < 0.04). A statistically significant association between PCT and complex scores (SOFA, CCI and qSOFA) with the evolution of urosepsis was highlighted. Increased hospitalization costs can be observed in the case of deceased patients and those with septic shock and statistically significantly lower in the case of those with SIRS. The predictability of discriminating urosepsis stages was assessed by using the area under the ROC curve (AUC) and very good specificity and sensitivity was identified in predicting the risk of death for PCT (69.57%, 77.33%), the SOFA (91.33%, 76.82%), qSOFA (91.30%, 74.17%) scores, and CCI (65.22%, 88.74%). The AUC value was best for qSOFA (90.3%). For the SIRS group, the PCT (specificity 91.30%, sensitivity 85.71%) and SOFA (specificity 84.78%, sensitivity 78.74%), qSOFA scores (specificity 84.78%, sensitivity 76, 34%) proved to be relevant in establishing the diagnosis. In the case of the septic shock group, the qSOFA (specificity 92.5%, sensitivity 82.71%) and SOFA (specificity 97.5%, sensitivity 77.44%) as well as PCT (specificity 80%, sensitivity 85.61%) are statistically significant disease-defining variables. An important deficit in the tools needed to classify patients into the sepsis group is obvious. All the variables have an increased specificity but a low sensitivity. This translates into a risk of a false negative diagnosis. Conclusions: Although SOFA and qSOFA scores adequately describe patients with septic shock and they are independent prognostic predictors of mortality, they fail to be accurate in diagnosing sepsis. These scores should not replace the conventional triage protocol. In our study, PCT proved to be a disease-defining marker and an independent prognostic predictor of mortality. Patients with important comorbidities, CCI greater than 10, should be treated more aggressively because of increased mortality.

Urgent endovascular maneuvers to rescue a failing transplant kidney with a T-stent approach - A case report

Renal artery thrombosis (RAT) is a major cause of renal transplant loss and, for this reason, should be treated promptly. We present a case of a 48-year-old man with external iliac thrombosis associated with thrombosis of a transplant renal artery that led to worsening of renal function. Multiple mechanisms have been identified in the literature as risk factors for RAT. In our patient, a combination of anastomotic stenosis, hypercoagulability, and diabetic nephropathy had resulted in RAT, and an unconventional endovascular revascularization technique with a T-stent approach was needed to guarantee patency of the treated vessels. No 30-day perioperative complications occurred, and the postoperative follow-up examination showed patency of the treated vessels; thus, transplant loss was avoided.

Purple urine bag syndrome in neurological deficit patient: A case report

INTRODUCTION AND IMPORTANCE

Purple urine bag syndrome (PUBS), described first in 1978, is a rare phenomenon with purplish discolorations in the urine collecting bag. This report aims to provide a general overview of PUBS, its pathogenesis, and the recommended treatments.

CASE PRESENTATION

A woman patient, 27 years old, with prior history of congenital rubella infection complained of urinary retention. The patient routinely had foley catheterization due to neurogenic bladder accompanied by paraparesis inferior for 1.5 years. She also suffered bilateral lower extremities edema with infected wounds for two weeks, which showed a purple urine color in the urine bag. The laboratory examination demonstrated iron deficiency anemia, hypokalemia, and blood alkalosis.

CLINICAL DISCUSSION

The cause of purplish discolorations of PUBS is the mixing of indigo, blue pigment, and indirubin, red pigment, which are results of dietary digestion, hepatic enzymes, and bacterial urine oxidation. The main risk factors are female patients, constipation, older age, recurrent UTI, renal failure, and urinary catheterization, dominantly on chronic treatment with polyvinyl chloride (PVC) urinary catheter or bag.

CONCLUSION

The management should be promptly, rigorously, and appropriately because the complicated UTI has a high-risk progression of urosepsis.

Management of Vasopressor-Induced Acute Limb Ischemia (VIALI) in Septic Shock

Vasopressors used in critically ill patients with refractory shock poses a serious risk of non-occlusive peripheral limb ischemia leading to tissue necrosis and amputation. Acute limb ischemia is associated with high morbidity and mortality. Evidence-based medical literature is scarce on the prevention and management of vasopressor-induced acute limb ischemia (VIALI). Despite being a well-known and frequent complication of vasopressors, there is no standardized guideline for the prevention and management of vasopressor-induced limb ischemia. Vasopressors are required for the management of refractory shock which is defined as hypotension not responsive to intravenous fluid resuscitation alone. Distributive shock, which includes septic shock, causes inadequate tissue perfusion in adjunct with vasopressor use and is the most common cause of non-occlusive peripheral limb ischemia. This case study will focus on how early recognition and prompt treatment of VIALI are crucial in minimizing tissue necrosis and preventing amputations. We present a case of a middle-aged woman who developed distributive shock from sepsis of a urinary source secondary to obstructive uropathy (ureteral calculi). She presented with refractory shock and continued to remain in shock while undergoing emergent rigid cystoscopy with the placement of a ureteral stent. Despite adequate volume resuscitation, she required high doses of vasopressors resulting in peripheral extremity ischemia and necrosis of all her fingers and toes. By promptly initiating mitigation and preventive management strategies, we succeeded in minimizing tissue ischemia and reducing morbidity resulting from iatrogenic vasopressor-induced peripheral non-occlusive ischemia. These strategies include but are not limited to external warming of bilateral lower extremities, nitroglycerin paste application over the entire extremity, arterial assist pump, and low-dose therapeutic anticoagulation. The novel use of the arterial pump in acutely ischemic lower extremities likely helped salvage the toes which appeared to be at high risk of amputation.

Can We Identify Patients in Danger of Complications in Retrograde Intrarenal Surgery?-A Retrospective Risk Factors Analysis

Retrograde intrarenal surgery (RIRS) is an innovative and effective method of kidney stones treatment, as it had great influence on the development of endoscopy in urology. The increasing prevalence of urolithiasis together with the rapid development of endourology leads to a rise in the number of procedures related to the disease. Flexible ureteroscopy is constantly being improved, especially regarding the effectiveness and safety of the procedure. The purpose of this study is to evaluate intraoperative and early post-operative complications of RIRS in the treatment of kidney stones. A retrospective analysis of medical records was performed. A series was comprised of 207 consecutive operations performed from 2017 to 2020. Complications occurred in 19.3% (n = 40) of patients. Occurrence according to the Clavien-Dindo scale was: 11.1% for grade I, 5.8% for grade II and 2.4% for grade IV. Infectious complications included SIRS (5.3%, n = 11) and sepsis (2.4%, n = 5). Statistical analysis revealed a correlation between acute post-operative infections and positive midstream urine culture, history of chronic or recurrent urinary tract infections, and increased body mass index (BMI). Furthermore, a significant correlation was observed between pain requiring the use of opioids with BMI over 25. Consequently, history of urinary tract infections, positive pre-operative urine culture, and increased BMI are considered risk factors and require appropriate management.