Persistent acute kidney injury biomarkers: A systematic review and meta-analysis.

BACKGROUND: Various biomarkers reportedly predict persistent acute kidney injury (AKI) despite their varying predictive performance across clinical trials. This study aims to compare the accuracy of various biomarkers in predicting persistent AKI in different populations and regions. METHODS: In this meta-analysis, we searched for urinary C-C motif chemokine ligand 14 (CCL14), Tissue inhibitor of metalloproteinase-2&insulin-like growth factor-binding protein-7 (TIMP-2&IGFBP7), Neutrophil Gelatinase-Associated Lipocalin (NGAL), plasma Cystatin C (pCysC), Soluble urokinase plasminogen activator receptor (suPAR), Proenkephalin (PenK) and urinary dickkopf-3:urinary creatinine (uDKK3:uCr) from various databases including Medline, PubMed, Embase, and Cochrane. This was geared towards predicting persistent AKI in adults (>18 years). Hierarchically summarized subject work characteristic curves (HSROC) and diagnostic odds ratio (DOR) values were used to summarize the diagnostic accuracy of the biomarkers. Further, meta-regression and subgroup analyses were carried out to identify sources of heterogeneity as well as evaluate the best predictive biomarkers in different populations and regions. RESULTS: We screened 31 studies from 2,356 studies and assessed the diagnostic value of 7 biomarkers for persistent AKI. Overall, CCL14 had the best diagnostic efficacy with an AUC of 0.79 (95 % CI 0.75-0.82), whereas TIMP-2 & IGFBP7, NGAL, and pCysC had diagnostic efficacy of 0.75 (95 % CI 0.71-0.79),0.71 (95 % CI 0.67-0.75), and 0.7007, respectively. Due to a limited number of studies, PenK, uDKK3:uCr, and suPAR were not subjected to meta-analysis; however, relevant literature reported diagnostic efficacy above 0.70. Subgroup analyses based on population, region, biomarker detection time, AKI onset time, and AKI duration revealed that in the intensive care unit (ICU) population, the AUC of CCL14 was 0.8070, the AUC of TIMP-2 & IGFBP7 was 0.726, the AUC of pCysC was 0.72, and the AUC of NGAL was 0.7344; in the sepsis population, the AUC of CCL14 was 0.85, the AUC of TIMP-2&IGFBP7 was 0.7438, and the AUC of NGAL was 0.544; in the post-operative population, the AUC of CCL14 was 0.83-0.93, the AUC of TIMP-2&IGFBP7 was 0.71, and the AUC of pCysC was 0.683. Regional differences were observed in biomarker prediction of persistent kidney injury, with AUCs of 0.8558 for CCL14, 0.7563 for TIMP-2 & IGFBP7, and 0.7116 for NGAL in the Eurasian American population. In the sub-African population, TIMP-2 & IGFBP7 had AUCs of 0.7945, 0.7418 for CCL14, 0.7097 for NGAL, and 0.7007 for pCysC. for TIMP-2 & IGFBP7 was 0.7945, AUC for CCL14 was 0.7418, AUC for NGAL was 0.7097, and AUC for pCysC was 0.7007 in the sub-African population. Duration of biomarker detection, AKI onset, and AKI did not influence the optimal predictive performance of CCL14. Subgroup analysis and meta-regression of CCL14-related studies revealed that CCL14 is the most appropriate biomarker for predicting persistent stage 2-3 AKI, with heterogeneity stemming from sample size and AKI staging. CONCLUSION: This meta-analysis discovered CCL14 as the best biomarker to predict persistent AKI, specifically persistent stage 2-3 AKI.

Comprehensive biomarker assessment for predicting severe acute kidney injury and need of kidney replacement therapy in liver transplantation patients.

BACKGROUND: Renal dysfunction is a common complication following liver transplantation (LT). This study aimed to determine whether a comprehensive assessment of kidney function using nineteen serum and urinary biomarkers (BMs) within the first 48 h post-LT could enhance the prediction of severe acute kidney injury (AKI) and the need of kidney replacement therapy (KRT) during the first postoperative week. METHODS: Blood and urine (U) samples were collected during the pre- and postoperative periods. Nineteen BMs were evaluated to assess kidney health in the first 48 h after LT. Classification and regression tree (CART) cross-validation identified key predictors to determine the best BM combination for predicting outcomes. RESULTS: Among 100 LT patients, 36 developed severe AKI, and 34 required KRT within the first postoperative week. Preoperative assessment of U neutrophil gelatinase-associated lipocalin (NGAL) and liver-type fatty acid-binding protein (L-FABP) predicted the need for KRT with 75% accuracy. The combined assessment of U osmolality (OSM), U kidney injury molecule 1 (KIM-1), and tissue inhibitor of metalloproteinase (TIMP-1) within 48 h post-LT predicted severe AKI with 80% accuracy. U-OSM alone, measured within 48 h post-LT, had an accuracy of 83% for predicting KRT need, outperforming any BM combination. CONCLUSIONS: Combined BM analysis can accurately predict severe AKI and KRT needs in the perioperative period of LT. U-OSM alone proved to be an effective tool for monitoring the risk of severe AKI, available in most centers. Further studies are needed to assess its impact on AKI progression postoperatively.Registered at Clinical Trials (clinicaltrials.gov) in March 24th, 2014 by title 'Acute Kidney Injury Biomarkers: Diagnosis and Application in Pre-operative Period of Liver Transplantation (AKIB)' and identifier NCT02095431.

Serum glucose mediated association of serum lactate with acute kidney injury among AIS patients.

BACKGROUND: The serum lactate level has been confirmed to be an independent risk factor for the occurrence of acute kidney injury (AKI) in many diseases. However, the correlation between serum lactate level and AKI in critical patients with acute ischemic stroke (AIS) has not been clear. Moreover, limited studies have examined the mediating effect of serum glucose on the association between serum lactate and AKI. METHODS: We identified 1,435 AIS patients from the Medical Information Mart for Intensive Care (MIMIC-III) database and divided them into AKI or No-AKI groups. We used a propensity score matching method to reduce confounding factors. Linear regression, logistic regression, and restricted cubic splines (RCS) plots were used to evaluate relationships between serum lactate levels and AKI. Finally, the mediating role of serum glucose on the relationship between serum lactate and AKI was investigated utilizing the mediation analysis. RESULTS: In the present study, a total of 634 critical patients aged ≥ 18 years with AIS were included after propensity score matching (1:1). We used RCS plotting to reveal a linear association between serum lactate levels and AKI (P for nonlinearity < 0.001). After full adjustment for potential confounders (Model 3), high lactate levels increased the risk of AKI (odds ratio, 2.216; 95 % confidence interval, 1.559-3.271; P-value < 0.001). Serum glucose explained 14.9 % of the association between serum lactate and AKI among critical patients with AIS (P-value < 0.001), 16.4 % among patients with AIS and diabetes mellitus (DM) (P-value = 0.24), and 19.5 % among patients with AIS and without DM (P-value < 0.001). CONCLUSION: Serum lactate was independently associated with increased risk-adjusted AKI in critical patients with AIS. The increase in serum glucose may have mediated this effect, especially in patients without DM.

Association between serum calcium level and the risk of acute kidney injury in patients with acute myocardial infarction: evidences from the MIMIC-IV database.

OBJECTIVE: This cohort study was to assess the association between serum calcium levels and the risk of acute kidney injury (AKI) in acute myocardial infarction (AMI) patients. METHODS: This study was analyzed using data of 1286 AMI patients aged ≥18 years who stayed in ICU more than 24 h in Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Univariable logistic regression model was established to identify potential covariates. Univariate and multivariable logistic regression models were used to analyze the association between serum calcium and the risk of AKI in patients with AMI. The association between serum calcium and the risk of AKI in patients with AMI was also shown by restricted cubic spline (RCS) plot. Odds ratio (OR) and 95% confidence interval (CI) were calculated. RESULTS: The median follow-up time was 1.61 (1.23, 2.30) days, and 436 (33.90%) participants had AKI at the end of follow-up. After adjusting for covariates, elevated level of serum calcium level was related to reduced risk of AKI in AMI patients (OR = 0.88, 95%CI: 0.80-0.98). Decreased risk of AKI was found in AMI patients with serum calcium level of 8.40-8.90 mg/dL (OR = 0.54, 95%CI: 0.34-0.86) or ≥8.90 mg/dL (OR = 0.60, 95%CI: 0.37-0.99). The RCS plot depicted that serum calcium level was negatively correlated with the risk of AKI in patients with AMI. CONCLUSIONS: AMI patients with AKI had lower serum calcium levels compared with those without AKI. Increased serum calcium level was associated with decreased risk of AKI in patients with AMI.

Value of preoperative prognostic nutritional index combined with NT-proBNP in predicting acute kidney injury of congenital heart disease children.

Objective: The study investigates value of preoperative prognostic nutritional index (PNI) combined with N-terminal pro-brain natriuretic peptide (NT-proBNP) in predicting postoperative acute kidney injury (AKI) in congenital heart disease (CHD) children. Methods: The clinical data of 108 children with congenital heart disease were retrospectively collected. According to whether AKI occurred 48 h after operation, they were divided into AKI group (n = 32) and non-AKI group (n = 76). The clinical data, preoperative PNI and NT-proBNP levels were compared between the two groups. Multivariate logistic regression analysis was used to analyze the influencing factors of AKI, and the receiver operating characteristic (ROC) curve was drawn to evaluate the predictive value of preoperative PNI, NT-proBNP and their combination. Results: Multivariate logistic regression analysis showed that Scr, PNI and NT-proBNP were independent risk factors for postoperative AKI in children with congenital heart disease (P < 0.001). The results of ROC curve analysis showed that the area under the curve (AUC) of preoperative PNI, NT-proBNP and their combination in predicting postoperative AKI in children with congenital heart disease were 0.839, 0.738 and 0.907, respectively, and the AUC of their combination was the highest. Conclusion: The combined use of preoperative PNI as well as NT-proBNP holds significant value in predicting postoperative AKI in CHD children. Monitoring preoperative PNI and NT-proBNP levels may aid in clinically identifying the risk of postoperative AKI in CHD children, thereby improving their prognosis.

The association between acute kidney injury and dysglycaemia in critically ill patients with and without diabetes mellitus: a retrospective single-center study.

BACKGROUND: Critically ill patients in the intensive care unit (ICU) often experience dysglycaemia. However, studies investigating the link between acute kidney injury (AKI) and dysglycaemia, especially in those with and without diabetes mellitus (DM), are limited. METHODS: We used the Medical Information Mart for Intensive Care IV database to investigate the association between AKI within 7 days of admission and subsequent dysglycaemia. The primary outcome was the occurrence of dysglycaemia (both hypoglycemia and hyperglycemia) after 7 days of ICU admission. Logistic regression analyzed the relationship between AKI and dysglycaemia, while a Cox proportional hazards model estimated the long-term mortality risk linked to the AKI combined with dysglycaemia. RESULTS: A cohort of 20,008 critically ill patients were included. The AKI group demonstrated a higher prevalence of dysglycaemia, compared to the non-AKI group. AKI patients had an increased risk of dysglycaemia (adjusted odds ratio [aOR] 1.53, 95% confidence interval [CI] 1.41-1.65), hypoglycemia (aOR 1.56, 95% CI 1.41-1.73), and hyperglycemia (aOR 1.53, 95% CI 1.41-1.66). In subgroup analysis, compared to DM patients, AKI showed higher risk of dysglycaemia in non-DM patients (aOR: 1.93 vs. 1.33, Pint<0.01). Additionally, the AKI with dysglycaemia group exhibited a higher risk of long-term mortality compared to the non-AKI without dysglycaemia group. Dysglycaemia also mediated the relationship between AKI and long-term mortality. CONCLUSION: AKI was associated with a higher risk of dysglycaemia, especially in non-DM patients, and the combination of AKI and dysglycaemia was linked to higher long-term mortality. Further research is needed to develop optimal glycemic control strategies for AKI patients.

Association between serum osmolality and deteriorating renal function in patients with acute myocardial infarction: analysis of the MIMIC- IV database.

BACKGROUND: To investigate the association between serum osmolality and deteriorating renal function in patients with acute myocardial infarction (AMI). METHODS: Three thousand eight hundred eighty-five AMI patients from the Medical Information Mart for Intensive Care IV were enrolled for this study. The primary outcome was deteriorating renal function. Secondary outcomes included the new-onset of acute kidney injury (AKI) and progress of AKI. < 293.2725 mmol/L was defined as low serum osmolality, and ≥ 293.2725 mmol/L as high serum osmolality based on upper quartile. Univariate and multivariate logistic regression models were used to explore the associations between serum osmolality and the development of deteriorating renal function, the new-onset of AKI and progress of AKI among AMI patients. Subgroup analysis was also conducted. RESULTS: One thousand three hundred ninety-three AMI patients developed deteriorating renal function. After adjusting all confounding factors, high serum osmolality was associated with increased risk of deteriorating renal function [odds ratio (OR) = 1.47, 95% confidence interval (CI): 1.22-1.78], new-onset of AKI (OR = 1.31, 95% CI: 1.01-1.69), and progress of AKI risk (OR = 1.26, 95% CI: 1.01-1.59) among AMI patients. In addition, when the stratified analysis was performed for age, AMI type, cardiogenic shock, and estimated glomerular filtration rate (eGFR), high serum osmolality was risk factor for the risk of deteriorating renal function among patients aged 65 years or older, without cardiogenic shock, and with an eGFR ≥ 60 mL/min/1.73m2. CONCLUSION: Higher serum osmolality increased the risk of deteriorating renal function among AMI patients.

Plasma proteomics of acute tubular injury.

The kidney tubules constitute two-thirds of the cells of the kidney and account for the majority of the organ's metabolic energy expenditure. Acute tubular injury (ATI) is observed across various types of kidney diseases and may significantly contribute to progression to kidney failure. Non-invasive biomarkers of ATI may allow for early detection and drug development. Using the SomaScan proteomics platform on 434 patients with biopsy-confirmed kidney disease, we here identify plasma biomarkers associated with ATI severity. We employ regional transcriptomics and proteomics, single-cell RNA sequencing, and pathway analysis to explore biomarker protein and gene expression and enriched biological pathways. Additionally, we examine ATI biomarker associations with acute kidney injury (AKI) in the Kidney Precision Medicine Project (KPMP) (n = 44), the Atherosclerosis Risk in Communities (ARIC) study (n = 4610), and the COVID-19 Host Response and Clinical Outcomes (CHROME) study (n = 268). Our findings indicate 156 plasma proteins significantly linked to ATI with osteopontin, macrophage mannose receptor 1, and tenascin C showing the strongest associations. Pathway analysis highlight immune regulation and organelle stress responses in ATI pathogenesis.

Acute Kidney Injury and High-Sensitivity Cardiac Troponin T Levels in the Emergency Department.

Importance: The clinical implications of high-sensitivity cardiac troponin T (hs-cTnT) measurements in patients with acute kidney injury (AKI) in the emergency department (ED) are largely unknown. Objectives: To investigate associations between serum creatinine (SCr) concentrations and hs-cTnT kinetics, as well as the clinical accuracy of hs-cTnT for myocardial infarction (MI) in patients with AKI. Design, Setting, and Participants: This retrospective cohort study included 15 111 patient visits to 7 EDs in Sweden from December 9, 2010, to August 31, 2017, by patients 18 years or older fulfilling AKI criteria with 2 or more SCr measurements and 1 or more hs-cTnT measurement. Statistical analysis was performed from October 2, 2022, to September 28, 2023. Exposure: Dynamic change in SCr during the ED visits. Main Outcomes and Measures: Linear mixed-effects models were used to estimate the log-linear regression of kinetic change in hs-cTnT. Logistic regression models were applied to calculate odds ratios (ORs) for change in hs-cTnT indicating acute myocardial injury (Δhs-cTnT >20% and elevated hs-cTnT >14 ng/L) in association with change in SCr, and to assess the diagnostic performance of hs-cTnT for MI in patients with chest pain. Results: There was a total of 15 211 visits by 13 638 patients (median age, 74 years [IQR, 64-83 years]; 8709 men [57%]), of whom 1174 (8%) had an MI. Overall, 11 353 of patients at 14 037 visits without an MI diagnosis (81%) had myocardial injury, and 4396 patients at 14 037 visits (31%) had acute myocardial injury. The change in hs-cTnT among patients without MI was 1.8-fold higher in the highest vs the lowest change in SCr quartile (64.7% [95% CI, 58.4%-71.5%] vs 36.3% [95% CI, 32.4%-40.7%]; exponentiated ß coefficient, 1.78 [95% CI, 1.62-1.96]). Patients in the former group were twice as likely to have acute myocardial injury (39% [1378 of 3516 visits] vs 23% [817 of 3507 visits]; adjusted OR, 2.32 [95% CI, 2.08-2.59]). Using a 0 hours hs-cTnT cutoff value of 52 ng/L or higher assigned 627 of 2388 patients (26%) with chest pain to a high-risk group in whom the specificity and positive predictive value for MI was low (78.5% [95% CI, 76.7%-80.2&] and 27.6% [95% CI, 24.1%-31.3%], respectively). Conclusions and Relevance: This cohort study of patients in the ED suggests that dynamic change in SCr among patients with AKI was associated with hs-cTnT concentrations indicative of acute myocardial injury. These observations were accompanied by poor performance of recommended hs-cTnT-based algorithms for MI risk stratification.

Screening for Early Biomarkers of Cisplatin-Induced Acute Kidney Injury in Rats Through Serum Metabolomics Technology.

OBJECTIVE: To systematically identify early biomarkers of cisplatin-induced acute kidney injury (AKI) in rats. STUDY DESIGN: An experimental study. Place and Duration of the Study: Experimental Animal Laboratory of Lanzhou University, Gansu, China, and the Department of Pharmacy, The First Hospital of Lanzhou University, Gansu, China, from July 2022 to October 2023. METHODOLOGY: In this study, an AKI model was established by continuously injecting cisplatin into rats at a dose of 1 mg/kg once a day for control group and for 2, 3, 4, and 5 days to other four groups, respectively. Subsequently, rat plasma samples were collected for metabolomics analysis to identify early differentiated metabolites in the plasma prior to creatinine elevation. Furthermore, accurate HPLC-MS/MS methods were developed to validate the biomarker variation in other AKI models. RESULTS: The occurrence of time-dependent renal cortical injury and significant alterations of creatinine (Cr) concentration were observed on day-4 and 5, which demonstrated successful model construction. Sixty-six compounds changed on Day-2 while 61 compounds changed on Day-3. Eleven compounds with variable importance in projection (VIP) >1.5 and false discover rate (FDR) <0.2 were selected and identified by HPLC-MS/MS. Among these, N-acetylglutamine and citramalic acid changed earlier than serum creatinine (sCr) in the AKI model. CONCLUSION: N-acetylglutamine and citramalic acid may serve as early biomarker of cisplatin-induced AKI. KEY WORDS: Acute kidney injury, Biomarker, Cisplatin, Metabolomics, LC-MS/MS, Rats.

Serum and urinary biomarkers of vancomycin-induced acute kidney injury: A prospective, observational analysis.

Vancomycin, a first-line drug for treating methicillin-resistant Staphylococcus aureus infections, is associated with acute kidney injury (AKI). This study involved an evaluation of biomarkers for AKI detection and their comparison with traditional serum creatinine (SCr). We prospectively enrolled patients scheduled to receive intravenous vancomycin for methicillin-resistant S aureus infection. Blood samples for pharmacokinetic assessment and SCr and cystatin C (CysC) measurements were collected at baseline and on days 3, 7, and 10 from the initiation of vancomycin administration (day 1). Urinary biomarkers, including kidney injury molecule 1 (KIM-1), neutrophil gelatinase-associated lipocalin, and clusterin, were collected from days 1 to 7 and adjusted for urinary creatinine levels. The estimated glomerular filtration rate (eGFR) was calculated using the Chronic Kidney Disease Epidemiology Collaboration equation. Of the 42 patients, 6 experienced vancomycin-induced AKI. On day 7, the change from baseline eGFR using CysC (ΔeGFRCysC) showed a stronger correlation with vancomycin area under the curve (r = -0.634, P < .001) than that using SCr (ΔeGFRSCr; r = -0.437, P = .020). ΔeGFRSCr showed no significant correlation with vancomycin pharmacokinetic in patients with body mass index ≥23. The median (interquartile range) level of KIM-1 (µg/mg) was significantly higher in the AKI group (0.006 [0.005-0.008]) than in the non-AKI group (0.004 [0.001-0.005]) (P = .039, Mann-Whitney U test), with area under the receiver operating characteristic curve (95% confidence interval) of 0.788 (0.587-0.990). Serum CysC, particularly in overweight individuals or those with obesity, along with urinary KIM-1 are important predictors of vancomycin-induced AKI. These results may aid in selecting better biomarkers than traditional SCr for detecting vancomycin-induced AKI.

Association between serum magnesium concentrations and the risk of developing acute kidney injury in patients with cirrhosis: a retrospective cohort study based on the MIMIC-IV database.

BACKGROUND: In various disease contexts, magnesium abnormalities are associated with acute kidney injury (AKI) incidence. However, this association remains unclear and has not been systematically investigated in patients with cirrhosis. Hence, we aimed to elucidate the association between admission serum magnesium levels and AKI incidence in intensive care unit (ICU)-admitted cirrhotic patients. METHODS: A retrospective cohort study was conducted using MIMIC-IV2.2 data, focusing on critically ill patients with cirrhosis. We employed univariable and multivariable logistic regression and restricted cubic spline analyses to robustly address our research objectives. To further substantiate the findings, subgroup and sensitivity analyses were also conducted. RESULTS: Among the 3,228 enrolled ICU-admitted cirrhotic patients, 34.4% were female, and the overall AKI incidence was 68.6% (2,213/3,228). Multivariable logistic regression analysis revealed an independent relationship between elevated serum magnesium levels and increased AKI risk (OR = 1.55 [95% CI = 1.15-2.09], p = 0.004). Compared with individuals with serum magnesium levels < 1.6 mg/dL, individuals with serum magnesium levels in Q2 (1.6-2.6 mg/dL) and Q3 (≥2.6 mg/dL) had adjusted ORs for AKI of 1.89 (95% CI = 1.34-2.65, p < 0.001) and 2.19 (95% CI = 1.27-3.75, p = 0.005), respectively. The restricted cubic spline analysis revealed that AKI risk increased linearly with increasing serum magnesium levels. Subgroup analysis revealed that the association between serum magnesium levels and AKI incidence was remarkably stable in subgroup analysis (all Pinteraction >0.05). CONCLUSIONS: High serum magnesium concentrations were significantly associated with an increased AKI risk in ICU-admitted patients with cirrhosis. Further randomized trials are needed to confirm this association.

Kidney Blood Flow and Renin-Angiotensin-Aldosterone System Measurements Associated With Kidney and Cardiovascular Dysfunction in Pediatric Shock.

IMPORTANCE: Pediatric acute kidney injury (AKI) is a prevalent and morbid complication of shock. Its pathogenesis and early identification remain elusive. OBJECTIVES: We aim to determine whether renal blood flow (RBF) measurements by point-of-care ultrasound (POCUS) and renin-angiotensin-aldosterone system (RAAS) hormones in pediatric shock associate with vasoactive requirements and AKI. DESIGN, SETTING, AND PARTICIPANTS: This is a single-center prospective, noninterventional observational cohort study in one tertiary PICU in North American from 2020 to 2022 that enrolled children younger than 18 years with shock without preexisting end-stage renal disease. MAIN OUTCOMES AND MEASURES: RBF was measured by POCUS on hospital days 1 and 3 and plasma RAAS hormone levels were measured on day 1. The primary outcome was the presence of AKI by Kidney Disease Improving Global Outcomes criteria at first ultrasound with key secondary outcomes of creatinine, blood urea nitrogen (BUN), Vasoactive-Inotrope Score (VIS), and norepinephrine equivalent dosing (NED) 48 hours after first ultrasound. RESULTS: Fifty patients were recruited (20 with AKI, mean age 10.5 yr, 48% female). POCUS RBF showed lower qualitative blood flow (power Doppler ultrasound [PDU] score) and higher regional vascular resistance (renal resistive index [RRI]) in children with AKI (p = 0.017 and p = 0.0007). Renin and aldosterone levels were higher in the AKI cohort (p = 0.003 and p = 0.007). Admission RRI and PDU associated with higher day 3 VIS and NED after adjusting for age, day 1 VIS, and RAAS hormones. Admission renin associated with higher day 3 creatinine and BUN after adjusting for age, day 1 VIS, and the ultrasound parameters. CONCLUSIONS AND RELEVANCE: In pediatric shock, kidney blood flow was abnormal and renin and aldosterone were elevated in those with AKI. Kidney blood flow abnormalities are independently associated with future cardiovascular dysfunction; renin elevations are independently associated with future kidney dysfunction. Kidney blood flow by POCUS may identify children who will have persistent as opposed to resolving AKI. RAAS perturbations may drive AKI in pediatric shock.

A dynamic model to predict early occurrence of acute kidney injury in ICU hospitalized cirrhotic patients: a MIMIC database analysis.

BACKGROUND: This study aimed to develop a tool for predicting the early occurrence of acute kidney injury (AKI) in ICU hospitalized cirrhotic patients. METHODS: Eligible patients with cirrhosis were identified from the Medical Information Mart for Intensive Care database. Demographic data, laboratory examinations, and interventions were obtained. After splitting the population into training and validation cohorts, the least absolute shrinkage and selection operator regression model was used to select factors and construct the dynamic online nomogram. Calibration and discrimination were used to assess nomogram performance, and clinical utility was evaluated by decision curve analysis (DCA). RESULTS: A total of 1254 patients were included in the analysis, and 745 developed AKI. The mean arterial pressure, white blood cell count, total bilirubin level, Glasgow Coma Score, creatinine, heart rate, platelet count and albumin level were identified as predictors of AKI. The developed model had a good ability to differentiate AKI from non-AKI, with AUCs of 0.797 and 0.750 in the training and validation cohorts, respectively. Moreover, the nomogram model showed good calibration. DCA showed that the nomogram had a superior overall net benefit within wide and practical ranges of threshold probabilities. CONCLUSIONS: The dynamic online nomogram can be an easy-to-use tool for predicting the early occurrence of AKI in critically ill patients with cirrhosis.

Assessing the predictive value of elevated postoperative syndecan-1 levels for progressive acute kidney injury and kidney replacement therapy necessity in adult cardiac surgery patients.

BACKGROUND: The development of acute kidney injury (AKI) post-cardiac surgery significantly increases patient morbidity and healthcare costs. Prior researches have established Syndecan-1 (SDC-1) as a potential biomarker for endothelial injury and subsequent acute kidney injury development. This study assessed whether postoperative SDC-1 levels could further predict AKI requiring kidney replacement therapy (AKI-KRT) and AKI progression. METHODS: In this prospective study, 122 adult cardiac surgery patients, who underwent valve or coronary artery bypass grafting (CABG) or a combination thereof and developed AKI within 48 h post-operation from May to September 2021, were monitored for the progression to stage 2-3 AKI or the need for KRT. We analyzed the predictive value of postoperative serum SDC-1 levels in relation to multiple endpoints. RESULTS: In the study population, 110 patients (90.2%) underwent cardiopulmonary bypass, of which thirty received CABG or combined surgery. Fifteen patients (12.3%) required KRT, and thirty-eight (31.1%) developed progressive AKI, underscoring the severe AKI incidence. Multivariate logistic regression indicated that elevated SDC-1 levels were independent risk factors for progressive AKI (OR = 1.006) and AKI-KRT (OR = 1.011). The AUROC for SDC-1 levels in predicting AKI-KRT and AKI progression was 0.892 and 0.73, respectively, outperforming the inflammatory cytokines. Linear regression revealed a positive correlation between SDC-1 levels and both hospital (ß = 0.014, p = 0.022) and ICU stays (ß = 0.013, p < 0.001). CONCLUSION: Elevated postoperative SDC-1 levels significantly predict AKI progression and AKI-KRT in patients following cardiac surgery. The study's findings support incorporating SDC-1 level monitoring into post-surgical care to improve early detection and intervention for severe AKI.

Predictive value of perioperative NT-proBNP levels for acute kidney injury in patients with compromised renal function undergoing cardiac surgery: a case control study.

BACKGROUND: Acute kidney injury (AKI) significantly increases morbidity and mortality following cardiac surgery, especially in patients with pre-existing renal impairments. N-terminal pro-B-type natriuretic peptide (NT-proBNP) is a marker of cardiac stress and dysfunction, conditions often exacerbated during cardiac surgery and prevalent in chronic kidney disease (CKD) patients. Elevated NT-proBNP levels can indicate underlying cardiac strain, hemodynamic instability and volume overload. This study evaluated the association between perioperative changes in NT-proBNP levels and the incidence of AKI in this particular patient group. METHODS: This retrospective study involved patients with impaired renal function (eGFR 15-60 ml/min/1.73 m²) who underwent cardiac surgery from July to December 2022. It analyzed the association between the ratio of preoperative and ICU admittance post-surgery NT-proBNP levels and the development of AKI and AKI stage 2-3, based on KDIGO criteria, using multivariate logistic regression models. Restricted cubic spline analysis assessed non-linear associations between NT-proBNP and endpoints. Subgroup analysis was performed to assess the heterogeneity of the association between NT-proBNP and endpoints in subgroups. RESULTS: Among the 199 participants, 116 developed postoperative AKI and 16 required renal replacement therapy. Patients with AKI showed significantly higher postoperative NT-proBNP levels compared to those without AKI. Decreased baseline eGFR and increased post/preoperative NT-proBNP ratios were associated with higher AKI risk. Specifically, the highest quantile post/preoperative NT-proBNP ratio indicated an approximately seven-fold increase in AKI risk and a ninefold increase in AKI stage 2-3 risk compared to the lowest quantile. The area under the receiver operating characteristic curve for predicting AKI and AKI stage 2-3 using NT-proBNP were 0.63 and 0.71, respectively, demonstrating moderate accuracy. Subgroup analysis demonstrated that the positive association between endpoints and logarithmic transformed post/preoperative NT-proBNP levels was consistently robust in subgroup analyses stratified by age, sex, surgery, CPB application, hypertension, diabetes status and fluid balance. CONCLUSION: Perioperative NT-proBNP level changes are predictive of postoperative AKI in patients with pre-existing renal deficiencies undergoing cardiac surgery, aiding in risk assessment and patient management.

Prognostic value of systemic inflammatory response index for acute kidney injury and the prognosis of pediatric patients in critical care units.

BACKGROUND: We proposed a link between the first systemic inflammatory response index (SIRI) and acute kidney injury (AKI), as well as the prognosis of pediatric patients in intensive care units (PICU). METHODS: This study comprised 5114 children from the pediatric-specific intensive care (PIC) database. SIRI was estimated as a neutrophil monocyte lymphocyte ratio. All patients were arbitrarily allocated to the training set (n = 3593) and the validation cohort (n = 1521) and divided into two groups depending on their SIRI levels. The diagnostic value of SIRI for pediatric ICU patients was subsequently determined using LASSO regression models. RESULTS: After controlling for additional confounding variables in the training set, the higher SIRI value (≥ 0.59) had a greater risk of AKI (adjusted odds ratio, OR, 3.95, 95% confidence interval, 95%CI, 2.91-5.36, P<0.001) and in-hospital mortality (hazard ratio, HR, 5.01, 95%CI 2.09-12.03, P<0.001). Similar findings were discovered in the validation set. Furthermore, the suggested nomogram derived from SIRI and other clinical metrics showed outstanding calibration capability as well as therapeutic usefulness in both groups. CONCLUSIONS: SIRI is a reliable and useful factor for AKI and fatality in pediatric ICU patients, and the proposed nomogram based on SIRI yields an appropriate prediction value for critically sick pediatric patients.

The Value of Bedside Ultrasound Evaluation of Intravenous Ultrasound Grading System Combined with TyG Index in Predicting Acute Renal Injury in Patients with Acute Hyperlipidemic Pancreatitis.

Aims/Background Bedside ultrasound evaluation of venous excess ultrasound (VExUS) combined with the triglyceride-glucose (TyG) index plays an important role in predicting acute kidney injury (AKI) in patients with acute hyperlipidemic pancreatitis. VExUS can effectively evaluate the degree of venous congestion, while the TyG index is valuable in predicting severe pancreatitis. The combination of these two methods is expected to provide a more accurate AKI risk assessment tool for clinical practice. This study explores the value of combining bedside ultrasound evaluation using the VExUS grading system with the TyG index in predicting acute renal damage in patients with acute hyperlipidemic pancreatitis. Methods From January 2021 to December 2023, 110 patients with acute hyperlipidemic pancreatitis were selected. The patients were divided into two groups based on whether they were complicated with acute kidney injury (AKI): the AKI group (n = 23) and the non-AKI group (n = 87). The general data of the two groups were compared, and the risk factors for AKI in patients with acute hyperlipidemic pancreatitis were analyzed using multivariate logistic regression. The predictive value was assessed using receiver operating characteristic curve (ROC) analysis. Results There were no statistically significant differences in age, gender, outcome, triglyceride (TG), total cholesterol, low-density lipoprotein (LDL) levels at admission, blood nutrition at discharge, creatinine (CREA) at discharge, underlying diseases, start time of enteral nutrition, complications, length of stay, Intensive Care Unit (ICU) days, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, blood glucose level, blood amylase level, CREA, blood urine nitrogen (BUN), blood purification treatment (p > 0.05). However, there were significant differences (p < 0.05) between the TyG index and the VExUS score, with variables including the TyG index and the VExUS score (included in the logistic regression analysis as variables), and AKI (AKI = 1, non-AKI = 0) as dependent variables. Multiple logistic regression results showed that the TyG index and VExUS score were independent predictors of AKI in patients with acute hyperlipidemia pancreatitis (p < 0.05). The standard error, sensitivity and specificity of the TyG index, VExUS score and combined model for predicting AKI in these patients were 0.064, 73.91 and 87.45; 0.036, 78.16 and 95.65; 0.010, 100.00 and 95.65, respectively (p < 0.05). Conclusion The VExUS score combined with the TyG index is highly valuable in predicting AKI in patients with acute hyperlipidemic pancreatitis.

Galectin-3 and Soluble CD146 Identify Cardiorenal Injuries in Severe Burn Patients: A Biomarker-Based Approach.

INTRODUCTION: Acute kidney injury (AKI) and myocardial injury (MI) are severe conditions in patients with severe burn injury, and combination of both is even worst and is called the cardiorenal syndrome (CRS). Identifying a distinct cardiorenal phenotype could significantly enhance the management of these patients. Galectin-3 (Gal3) and soluble CD146 (sCD146) are biomarkers for renal and cardiac injuries. This study aims to assess the occurrence and reliability of these biomarkers in recognizing CRS in individuals who have been severely burn. METHODS: This study is a single-center prospective proof-of-concept study involving patients with severe burn injuries. Plasma samples for Gal3 and sCD146 measurements were collected daily during the initial 7 days following admission. CRS was defined after 24 h of admission by the association of AKI stage 1 or more (KDIGO definition) and MI defined on high sensitive troponin (hsTnT) (variation >20% baseline value or absolute value >40 ng/mL). RESULTS: Forty patients met the inclusion criteria and were included in this study. Thirty-eight patients had CRS. The pooled values of Gal3 or combination of Gal3 and sCD146 values following 7 days after admission were associated with CRS with an odds ratio (OR) of 1.145 (95% CI: 1.081-1.211), p < 0.001, and 1.147 (95% CI: 1.085-1.212), p < 0.001, respectively. Gal3 values at admission (D0) had a predictive performance for CRS with an AUC of 0.78 (95% CI: 0.63-0.93), and this performance improved when using the combination of Gal3 and sCD146 values at admission (D0), with an AUC of 0.81 (95% CI: 0.66-0.96). Gal3 levels during the first 7 days were associated with patients experiencing AKI and no MI, with an OR of 1.129 (95% CI: 1.065-1.195), p < 0.001, and MI without AKI with an OR of 1.095 (95% CI: 1.037-1.167), p < 0.001. sCD146 alone was not associated with AKI without MI or MI without AKI and was poorly associated with CRS. CONCLUSION: In severely burned patients, CRS is a frequent and severe condition. Gal3 values during the first 7 days following admission were associated with CRS. The use of sCD146 with Gal3 improved prediction performance for CRS identification. The use of such biomarkers to identify CRS is important and needs to be confirmed in other studies.