Search Results (580)

Background: Acute Kidney Injury (AKI) is a pivotal concern in neurocritical care, impacting patient survival and quality of life. This study harnesses machine learning (ML) techniques to predict the occurrence of AKI in patients receiving hyperosmolar therapy, aiming to optimize patient outcomes in neurocritical settings. Methods: We conducted a retrospective cohort study of 4886 patients who underwent hyperosmolar therapy in the neurosurgical intensive care unit (ICU). Comparative predictive analyses were carried out using advanced ML algorithms—eXtreme Gradient Boosting (XGBoost), Gradient Boosting Machine (GBM), Random Forest (RF)—against standard multivariate logistic regression. Predictive performance was assessed using an 8:2 training-testing data split, with model fine-tuning through cross-validation. Results: The RF with KNN imputation showed slightly better performance than other approaches in predicting AKI. When applied to an independent test set, it achieved a sensitivity of 79% (95% CI: 70–87%) and specificity of 85% (95% CI: 82–88%), with an overall accuracy of 84% (95% CI: 81–87%) and AUROC of 0.86 (95% CI: 0.82–0.91). The multivariate logistic regression analysis, while informative, showed less predictive strength compared to the ML models. Delta chloride levels and serum osmolality proved to be the most influential predictors, with additional significant variables including pH, age, bicarbonate, and the osmolar gap. Conclusions: The prominence of delta chloride and serum osmolality among the predictive variables underscores its potential as a biomarker for AKI risk in this patient population. Full article

Sepsis is a life-threatening condition caused by an abnormal host response to infection, leading to organ dysfunction and potentially death. Acute kidney injury (AKI) is a critical complication of sepsis. Various pathways, especially signaling through Toll-like receptors (TLRs) and the nucleotide-binding oligomerization domain, leucine-rich repeat and pyrin domain-containing protein 3 (NLRP3) inflammasome, contribute to inflammation and tissue damage. Cilastatin, a renal dehydropeptidase I inhibitor, has shown promise in protecting against AKI induced by nephrotoxic drugs. This study assessed cilastatin’s effectiveness in preventing AKI and inflammation caused by sepsis and its impact on survival. Sepsis was induced in male Sprague-Dawley rats using the cecal ligation puncture (CLP) model, with four groups: sham (control), CLP, sham+cilastatin, and CLP+cilastatin. Cilastatin (150 mg/kg) was administered immediately and 24 h after sepsis induction. Kidney injury was evaluated 48 h later by assessing serum creatinine, blood urea nitrogen, glomerular filtration rate, proteinuria, kidney injury molecule-1 levels, and renal morphology. Inflammatory and fibrotic biomarkers, particularly related to the TLR4 and NLRP3 pathways, were also measured. Cilastatin treatment prevented kidney dysfunction, reduced inflammatory markers, and improved survival by 33%. These results suggest that cilastatin could be a beneficial therapeutic strategy for sepsis-related AKI, improving outcomes and reducing mortality. Full article

Background/Objectives: This study evaluated the applicability of B-mode ultrasound, Doppler, and elastography in the early diagnosis of non-azotemic acute kidney injury (AKI) in rats induced with cyclophosphamide. Methods: The prospective, randomized, and blinded experiment involved groups receiving cyclophosphamide (CG, n = 12) and saline (control, SG, n = 9). Serum biomarkers (urea, creatinine, and symmetric dimethylarginine) were assessed, along with renal histological analysis to classify AKI severity and distribution. Results: B-mode ultrasound revealed a significantly higher corticomedullary ratio at 24 and 72 h and increased renal width at 48 h in the cyclophosphamide group compared to controls. Biochemical analyses showed no significant differences between groups in early stages. Although B-mode ultrasound detected early morphological changes—specifically in corticomedullary ratio and renal size—Doppler and elastography demonstrated limited diagnostic utility in early AKI detection. Conclusions: Overall, B-mode ultrasound provided valuable early indicators of renal injury, whereas Doppler and elastography showed minimal clinical benefit at this stage. Full article

Polytrauma is a critical global health concern characterized by immune dysregulation and a high risk of multiple organ dysfunction syndrome (MODS). Early molecular mechanisms linking trauma severity to organ injury are poorly understood. We used two rat blast-polytrauma models: a tourniquet-induced ischemia/reperfusion injury (tIRI) model and a non-ischemia/reperfusion injury (non-IRI) model. Naïve animals served as controls. RT-qPCR of 120 inflammatory genes in the lung, kidney, and liver, combined with STRING protein–protein interaction analysis, revealed distinct yet overlapping inflammatory gene signatures across all the organs. A core set of genes (Il6, Lbp, Nos2, and Lcn2) was consistently upregulated, indicating shared inflammatory pathways. Transcriptomic responses were most pronounced in the tIRI group, with greater magnitude and altered temporal dynamics, uniquely amplifying pro-inflammatory cytokines, immune cell activators, chemokines, and tissue damage markers. Lipocalin-2 (Lcn2/NGAL) emerged as a shared hub gene across all the organs within 24 h post-injury. Its expression significantly correlated with MODS activity and adverse outcomes, independent of the injury model. At 168 h, Lcn2 expression correlated with increased liver damage and NGAL levels correlated with tissue trauma severity. These findings elucidate distinct pro-inflammatory mediators and networks underlying secondary organ dysfunction, highlighting NGAL as a potential universal biomarker of trauma-induced inflammation and MODS activity, suggesting it as a therapeutic target. Full article

As people with cystic fibrosis (PwCF) live longer, kidney disease is emerging as a significant comorbidity that is increasingly linked to cardiovascular complications and progression to end-stage kidney disease. In our recent review, we proposed the unifying term CF-related kidney disease (CFKD) to encompass the spectrum of kidney dysfunction observed in this population. Early detection of kidney injury is critical for improving long-term outcomes, yet remains challenging due to the limited sensitivity of conventional laboratory tests, particularly in individuals with altered muscle mass and unique CF pathophysiology. Emerging approaches, including novel blood and urinary biomarkers, urinary extracellular vesicles, and genetic risk profiling, offer promising avenues for identifying subclinical kidney damage. When integrated with machine learning algorithms, these tools may enable the development of personalized risk stratification models and targeted therapeutic strategies. This precision medicine approach has the potential to transform kidney disease management in PwCF, shifting care from reactive treatment of late-stage disease to proactive monitoring and early intervention. Full article

Acute kidney injury (AKI) is a serious clinical condition that is linked to markedly higher rates of morbidity and mortality in cirrhosis patients. Its diagnosis is challenging due to overlapping clinical and laboratory features among causes such as hepatorenal syndrome (HRS), acute tubular injury (ATI), and prerenal hypovolemia. In order to address the distinct pathophysiology and clinical context of cirrhosis, the definitions and classification of AKI have changed over time, moving from RIFLE and AKIN to KDIGO and ICA-AKI. Because cirrhosis patients have altered muscle mass and fluid retention, traditional markers like serum creatinine (sCr) and urine output have significant limitations. Neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), interleukin-18 (IL-18), and cystatin C (CysC) are some of the new biomarkers that have shown promise in early AKI detection and in differentiating structural from functional kidney injury. NGAL and KIM-1 are sensitive indicators of tubular damage with potential prognostic implications. IL-18 reflects inflammatory injury, and CysC offers a more reliable measure of glomerular filtration. Incorporating these markers may improve early diagnosis, risk stratification, and treatment decisions, representing a key direction for future research in managing AKI in cirrhosis. Full article

Recent studies have demonstrated that the development and progression of hypertensive kidney injury comprise not only elevated systemic blood pressure but also a complex interplay of cellular, molecular, and genetic mechanisms. In this report, we outline the key emerging pathways—ranging from dysregulated renin–angiotensin system signaling, oxidative stress, immune-mediated inflammation, and metabolic abnormalities to epigenetic alterations and genetic susceptibilities—that contribute to kidney damage in hypertensive conditions. In addition, we also discuss precision medicine approaches like biomarker-directed therapies, pharmacologically targeted therapies, and device-based innovations for modulating these pathways. This integrative review emphasizes the application of omics technologies and genetically guided interventions to better stratify patients and offer personalized care for hypertensive kidney disease. Full article

Background/Objective: Sepsis-associated acute kidney injury (SA-AKI) is a substantial contributor to mortality in critically ill patients. This study aimed to investigate the impact of gum acacia (GA) and dexamethasone (DEX) combination on lipopolysaccharide (LPS)-induced SA-AKI in rats. Methods: Thirty-six male Sprague Dawley rats were separated into six groups, including the control, GA group, LPS-induced AKI group, DEX + LPS group, GA + LPS group, and GA + DEX + LPS group. AKI was induced in rats using LPS (10 mg/kg, i.p.). GA was administered orally (7.5 g/kg) for 14 days before LPS injection, and DEX was injected (1 mg/kg, i.p.) 2 h after LPS injection. Results: LPS injection significantly (p < 0.05, vs. control group) impaired renal function, as evidenced through increased levels of kidney function biomarkers, decreased creatinine clearance, and histopathological alterations in the kidneys. LPS also significantly (p < 0.05, vs. control group) elevated levels of oxidative stress markers, while it reduced levels of antioxidant enzymes. Furthermore, LPS triggered an inflammatory response, manifested by significant (p < 0.05, vs. control group) upregulation of Toll-like receptor 4, myeloid differentiation primary response 88, interleukin-1β, tumor necrosis factor-α, and nuclear factor-κB, along with increased expression of high-mobility group box 1. Administration of GA significantly ameliorated LPS-induced renal impairment by enhancing antioxidant defenses and suppressing inflammatory pathways (p < 0.05, vs. LPS group). Furthermore, GA-DEX-treated rats showed improved kidney function, reduced oxidative stress, and attenuated inflammatory markers (p < 0.05, vs. LPS group). Conclusions: The GA-DEX combination exhibited potent renoprotective effects against LPS-induced SA-AKI, possibly due to their antioxidant and anti-inflammatory properties. These results suggest that the GA-DEX combination could be a promising and effective therapeutic agent for managing SA-AKI. Full article

Background/Objectives: Acute kidney injury (AKI) is a common and severe complication in patients with acute myocardial infarction (AMI). Very elderly patients are at a heightened risk of developing AKI. Fibrinogen and albumin are well-known biomarkers of inflammation and nutrition, which are highly related to AKI. We aim to explore the predictive value of the fibrinogen-to-albumin ratio (FAR) for AKI in very elderly patients with AMI. Methods: A retrospective cohort of AMI patients ≥ 75 years old hospitalized at the First Affiliated Hospital of Xi’an Jiaotong University between January 2018 and December 2022 was established. Clinical data and medication information were collected through the biospecimen information resource center at the hospital. Univariate and multivariable logistic regression models were used to analyze the association between FAR and the risk of AKI in patients with AMI. FAR was calculated as the ratio of fibrinogen (FIB) to serum albumin (ALB) level (FAR = FIB/ALB). The primary outcome is acute kidney injury, which was diagnosed based on KDIGO 2012 criteria. Results: Among 1236 patients enrolled, 66.8% of them were male, the median age was 80.00 years (77.00–83.00), and acute kidney injury occurred in 18.8% (n = 232) of the cohort. Comparative analysis revealed significant disparities in clinical characteristics between patients with or without AKI. Patients with AKI exhibited a markedly higher prevalence of arrhythmia (51.9% vs. 28.1%, p < 0.001) and lower average systolic blood pressure (115.77 ± 25.96 vs. 122.64 ± 22.65 mmHg, p = 0.013). In addition, after adjusting for age, sex, history of hypertension, left ventricular ejection fraction (LVEF), and other factors, FAR remained an independent risk factor for acute kidney injury (OR = 1.47, 95%CI: 1.36–1.58). ROC analysis shows that FAR predicted stage 2–3 AKI with superior accuracy (AUC 0.94, NPV 98.6%) versus any AKI (AUC 0.79, NPV 93.0%), enabling risk-stratified management. Conclusions: FAR serves as both a high-sensitivity screening tool for any AKI and a high-specificity sentinel for severe AKI, with NPV-driven thresholds guiding resource allocation in the fragile elderly. Full article

Background/Objectives: COVID-19 is a systemic viral infection that may lead to serious complications including acute kidney injury that requires kidney replacement therapy. The primary aim of this study was to evaluate urinary SerpinA3 (uSerpinA3) excretion as a biomarker of kidney recovery at 90 days, and the mortality in patients with critical COVID-19 and AKI requiring kidney replacement therapy (KRT). Methods: The study included patients with critical COVID-19 on invasive mechanical ventilation (IMV) requiring KRT. Blood and urine samples were obtained when KRT was initiated (day zero), and thereafter on days 1, 3, 7, and 14 post-replacement. uSerpinA3, kidney injury molecule-1 (uKIM-1), and neutrophil gelatinase-associated lipocalin (uNGAL) were measured in urine, and interleukin-6 (IL-6), interleukin-10 (IL-10), and tumor necrosis factor alpha (TNF-α) in peripheral blood. In addition, metabolomics in sample days zero and 3, and in the survivors on sample day 90 was performed by employing gas chromatography coupled with mass spectrometry. Results: A total of 60 patients were recruited, of whom 29 (48%) survived hospitalization and recovered kidney function by day 90. In the survivors, 79% presented complete recovery (CRR) and the remaining (21%) recovered partially (PRR). In terms of uSerpinA3, levels on days 7 and 14 predicted CRR, with AUC values of 0.68 (p = 0.041) and 0.71 (p = 0.030), respectively, as well as mortality, with AUC values of 0.75 (p = 0.007) and 0.76 (p = 0.015), respectively. Among the other biomarkers, the excretion of uKIM-1 on day zero of KRT had a superior performance as a CRR predictor [(AUC, 0.71 (p = 0.017)], and as a mortality predictor [AUC, 0.68 (p = 0.028)]. In the metabolomics analysis, we identified four distinct profiles; the metabolite that maintained statistical significance in predicting mortality was p-cresol glucuronide. Conclusions: This study strongly suggests that uSerpinA3 and uKIM-1 can predict CRR and mortality in patients with critical COVID-19 and AKI requiring KRT. Metabolic analysis appears promising for identifying affected pathways and their clinical impact in this population. Full article

Kidney transplantation is the treatment of choice for patients with end-stage kidney disease. Despite significant advances in graft survival, rejection continues to pose a major clinical challenge. Conventional monitoring tools, such as serum creatinine, donor-specific antibodies, and proteinuria, lack sensitivity and specificity for early detection of graft injury. Moreover, while biopsy remains the current gold standard for diagnosing rejection, it is prone to confounders, invasive, and associated with procedural risks. However, non-invasive novel biomarkers have emerged as promising alternatives for earlier rejection detection and improved immunosuppression management. This review focuses on the leading candidate biomarkers currently under clinical investigation, with an emphasis on their diagnostic performance, prognostic value, and potential to support personalised immunosuppressive strategies in kidney transplantation. Full article

Background and Objectives: The long-term renal and cardiovascular effects of neonatal acute kidney injury (AKI) in preterm infants remain unclear. This study investigated whether neonatal AKI leads to persistent subclinical kidney injury and blood pressure changes in school-aged children born preterm. Methods: In this prospective cohort, preterm-born children (≤35 weeks’ gestation) with (n = 19) and without (n = 38) neonatal AKI were evaluated at 7–12 years. A term-born control group (n = 44) was included for biomarker comparison. Assessments included perinatal data, anthropometry, office and ambulatory blood pressure monitoring (ABPM), and renal ultrasonography. Kidney function was evaluated using serum creatinine (sCr), cystatin C, and estimated glomerular filtration rate (eGFR). Tubular injury was assessed using urinary kidney injury molecule-1/Cr (KIM-1/Cr), neutrophil gelatinase-associated lipocalin/Cr (NGAL/Cr), and trefoil factor 3/Cr (TFF3/Cr) ratios, as well as serum TFF3. Results: Conventional kidney function markers were similar among groups. However, the AKI group had higher serum cystatin C, lower cystatin C–based eGFR, and elevated urinary KIM-1/Cr and NGAL/Cr compared to no-AKI and term controls. Serum TFF3 was also higher in the AKI group. ABPM revealed higher nocturnal systolic blood pressure and blood pressure load in the AKI group. Kidney size did not differ between preterm subgroups. Conclusions: Neonatal AKI in preterm infants is associated with subtle alterations and potential renal stress or injury at school age, detectable only with sensitive biomarkers and ABPM. Further prospective studies are needed to validate these biomarkers and determine their role in predicting long-term outcomes in preterm infants with neonatal AKI. Full article

Background and Aims: Sepsis-associated acute kidney injury (S-AKI) is common and is associated with poor outcomes. This prospective observational study aimed to assess the predictive value of four novel biomarkers—syndecan-1 (SDC1), neutrophil gelatinase-associated lipocalin (NGAL), proenkephalin (PENK), and presepsin (PSPN)—for renal outcomes and mortality in septic ICU patients. Methods: Serum biomarker levels were measured in serum samples collected at the time of sepsis diagnosis on the basis of the Sepsis-3 criteria. Acute kidney injury (AKI) was defined according to the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines, and patients were grouped by the presence of AKI, renal replacement therapy requirement (RRT), and intensive care unit (ICU) survival. Demographic, clinical, laboratory, and severity score data were compared between groups to evaluate the predictive performance of biomarkers and clinical parameters. Results: Of the 140 septic patients included, 55.0% developed AKI, 17.2% required RRT, and the ICU mortality rate was 50.0%. SDC1 was independently associated with both AKI (OR: 1.201; p = 0.024) and RRT initiation (OR: 1.260; p = 0.004). It also demonstrated the highest predictive performance for RRT (AUC: 0.715; p = 0.001) and a significant AUC for AKI evaluation (AUC: 0.659; p = 0.002). NGAL levels were significantly elevated in patients with AKI and higher SOFA scores but were not independently predictive. PENK and PSPN were not significantly associated with any renal outcome or mortality. The combined SOFA–SDC1 model improved discrimination for both AKI (AUC: 0.770) and RRT (AUC: 0.737), surpassing individual predictors. Conclusions: SDC1 emerged as the most reliable biomarker for assessing AKI and predicting the need for RRT, highlighting its potential role in early renal risk stratification among critically ill patients. Full article

Preeclampsia (PE) is a multifactorial hypertensive disorder unique to pregnancy and a leading cause of maternal and fetal morbidity and mortality worldwide. Its pathogenesis involves placental dysfunction and an exaggerated maternal inflammatory response. Uric acid (UA), traditionally regarded as a marker of renal impairment, is increasingly recognized as an active contributor to the development of PE. Elevated UA levels are associated with oxidative stress, endothelial dysfunction, immune activation, and reduced renal clearance. Clinically, UA is measured in the second and third trimesters to assess disease severity and guide obstetric management, with higher levels correlating with early-onset PE and adverse perinatal outcomes. Its predictive accuracy improves when combined with other clinical and biochemical markers, particularly in low-resource settings. Mechanistically, UA and its monosodium urate crystals can activate the NLRP3 inflammasome, a cytosolic multiprotein complex of the innate immune system. This activation promotes the release of IL-1β and IL-18, exacerbating placental, vascular, and renal inflammation. NLRP3 inflammasome activation has been documented in placental tissues, immune cells, and kidneys of women with PE and is associated with hypertension, proteinuria, and endothelial injury. Experimental studies indicate that targeting UA metabolism or inhibiting NLRP3 activation, using agents such as allopurinol, metformin, or MCC950, can mitigate the clinical and histopathological features of PE. These findings support the dual role of UA as both a biomarker and a potential therapeutic target in the management of the disease. Full article

Sepsis-associated acute kidney injury (S-AKI) represents a significant health problem associated with adverse outcomes. Our study aimed to assess the value of serum cystatin-C (sCysC) and TNF-α (rs361525) in combination for diagnosing S-AKI patients and predicting their adverse outcomes. The study included 100 critically ill neonates and 100 controls. Patients were categorized into an S-AKI group and a non-AKI group. TNF-α (−238, rs361525) genotyping was performed using RT-PCR, and sCysC was assessed using ELISA. Our study showed a fundamental difference in the genotype frequencies of TNF-α (−238, rs361525) and SNP between S-AKI and non-AKI patients. Furthermore, there was a significant relationship between cystatin C and TNF-α (−238, rs361525), where cystatin C was higher in patients with AA alleles than in patients with GA and GG alleles. Combining GA + AA genotypes with elevated serum cystatin-C levels can serve as a potential diagnostic and prognostic biomarker for AKI development in this population. The GA/AA genotypes independently predicted S-AKI risk (OR = 6.64, p < 0.001). At the same time, elevated sCysC (>9.4 mg/L) emerged as a sensitive biomarker (AUC = 0.848) and independent predictor of adverse outcomes. Collectively, these findings contribute to the growing field of personalized medicine and represent a strategic advantage, enabling prevention-focused care rather than the treatment of established disease. Full article