KDIGO Criteria Research Articles

Mortality Analysis in Geriatric Patients With Acute Kidney Injury Admitted in the Intensive Care Unit: A Single-Center Cross-Sectional Study.

Introduction Acute kidney injury (AKI) is an abrupt reduction in kidney function that causes nitrogenous waste and other waste products to be retained. Methods This cross-sectional study wasconducted from February 2015 to January 2016. The study received approval from the Independent Ethics Committee, which included patients over 60 with AKI.The study duration was 12 consecutive months to ascertain the etiology, severity, and hospital outcomes of AKI. Results The common etiologies of AKI included drug-induced (25%), age-related (21.67%), cardiac (13.33%), respiratory (20%), tropical (15%), and pancreatitis (15%) cases. Another predominant etiology observed was obstructive nephropathy (55%), with the highest (37.5%) mortality rate. The distribution of patients based on KDIGO criteria showed no significant difference in mortality percentages among classes (p=0.177). Conservative management without renal replacement therapy was the most common approach to treat AKI, with a 39% mortality rate. Conclusion Among different causes of AKI in the geriatric age group, drug-induced AKI, and obstructive nephropathywere predominantly associated with hospital mortality.

Association between postoperative ibuprofen exposure and acute kidney injury after pediatric cardiac surgery

Background Acute kidney injury (AKI) is a common complication after pediatric cardiac surgery and is associated with worse outcomes. Ibuprofen is widely used in the perioperative period and can affect kidney function in children. However, the association between ibuprofen exposure and AKI after pediatric cardiac surgery has not been determined yet. Methods In this retrospective cohort study, children undergoing cardiac surgery with cardiopulmonary bypass were studied. Exposure was defined as given ibuprofen in the first 7 days after surgery. Postoperative AKI was diagnosed using the KDIGO criteria. A multivariable Cox regression model was used to assess the association between ibuprofen exposure and postoperative AKI by taking ibuprofen as a time-varying covariate. Results Among 1,112 included children, 198 of them (17.8%) experienced AKI. In total, 396 children (35.6%) were exposed to ibuprofen. AKI occurred less frequently among children who were administered ibuprofen than among those who were not (46 of 396 [11.6%] vs. 152 of 716 [21.2%], p < 0.001). Using the Cox regression model accounting for time-varying exposures, ibuprofen treatment was not associated with AKI (adjusted HR, 0.99; 95% CI 0.70–1.39, p = 0.932). This insignificant association was consistent across the sensitivity and subgroup analyses. Conclusions Postoperative ibuprofen exposure in pediatric patients undergoing cardiac surgery was not associated with an increased risk of AKI.

Incidence and clinical impact of renal failure and bleeding following transcatheter tricuspid valve annuloplasty.

Bleeding is the most common complication after percutaneous leaflet-based tricuspid valve repair and associated with acute kidney injury (AKI) and adverse outcome. TTVA with the Cardioband system is a technically more complex procedure; however, frequency and prognostic impact of postinterventional bleeding and renal complications have not been thoroughly examined. This study was performed to determine the incidence and clinical impact of bleeding complications (MVARC criteria) and acute kidney injury (KDIGO criteria) following transcatheter tricuspid valve annuloplasty (TTVA). In a bi-center retrospective analysis of patients undergoing TTVA between 2018 and 2022, we examined frequency, predictors, and clinical impact of bleeding and renal failure. In 145 consecutive patients, the incidence of any MVARC bleeding was 20.7% (n = 30), whereas major MVARC bleeding occurred in 6.9% (n = 10). The incidence of AKI was 18.6% (n = 27). Risk factors for bleeding events included low baseline hemoglobin and elevated baseline creatinine levels. Risk factors for AKI included diabetes mellitus, arterial hypertension, high body mass index, and elevated baseline creatinine levels. Neither procedure duration nor amount of contrast media was associated with AKI or bleeding. Both bleeding and AKI led to a longer hospital stay. At 3months, 10.0% (n = 3) of patients with bleeding and 7.8% (n = 9) of patients without bleeding complications died (p = 0.70). Additionally, mortality rate was 7.4% (n = 2) in patients with AKI compared to 8.5% (n = 10) without AKI (p = 0.83). While about a fifth of patients undergoing TTVA suffered from postinterventional AKI or bleeding, none of these complications was associated with higher mortality at short-term follow-up. One important risk factor for both complications was chronic renal dysfunction, indicating a high-risk patient population. The most frequent bleeding localizations were the femoral access site, pericardial hemorrhage, and the esophagus, which need explicit attention in periprocedural management.

Long-Term Follow-Up of Kidney Function after Acute Liver Failure or Acute Liver Injury: A Cohort Study

Introduction: Acute liver failure (ALF) is a rare disease with high mortality. Acute kidney injury (AKI) following ALF is frequent. We assessed AKI impact on long-term kidney function among ALF survivors. Methods: Observational cohort study including consecutive adult (age ≥16 years) patients with ALF or acute liver injury (ALI) admitted to a Portuguese tertiary center intensive care unit (ICU) between October 2013 and February 2020. KDIGO criteria were used to define AKI and chronic kidney disease (CKD). Primary outcome was the estimated glomerular filtration rate (eGFR), defined by the Chronic Kidney Disease Epidemiology Collaboration formula, at least 1 year after index ICU admission. Results: Among 104 patients with ALF (n = 74) or ALI (n = 30), mean (SD) age was 43.7 (18.0) years, and 44 were male. Among all patients (n = 104), following adjustment for age and SOFA score, AKI during the first 7 ICU days (n AKI = 57 and n renal replacement therapy [RRT] = 32) was independently associated with all-cause mortality (adjusted HR [95% CI] 11.61 [1.49–90.34]; p = 0.019). Among hospital survivors with long-term kidney function available (n = 56), median (interquartile range) >1 year eGFR was 95.3 (75.0–107.7) mL/min/1.73 m2 (mean [SD] follow-up of 3.1 [1.6] years). Among these hospital survivors, following adjustment for baseline eGFR, AKI during the first 7 ICU days (n AKI = 19 and n RRT = 10) was not associated with >1 year eGFR (p = 0.15). At least 1 year after index ICU admission, 5 patients developed CKD, none RRT-dependent. Conclusions: Among ALF or ALI survivors, AKI was not associated with significant long-term loss of kidney function.

Effects of inpatient creatinine testing frequency on acute kidney injury identification and staging: a historical cohort study

BackgroundAcute kidney injury (AKI) is a multifactorial condition often induced by drugs commonly used in hospitals. Identifying and staging AKI necessitates frequent monitoring of renal function.AimTo assess the impact of real-world hospital practices regarding serum creatinine (SCr) testing on the identification and staging of AKI, and its implications for adjusting drug doses.MethodA historical cohort study utilizing hospital records from all adult patients admitted between 01/06/2018 and 31/12/2020 was conducted. Patients with no SCr assessment during their stay or those with an SCr at admission ≥ 2 mg/dL were excluded. AKI was determined using two criteria, namely AKIN and KDIGO, considering the time intervals between two SCr tests as outlined in the criteria. Additionally, patients with SCr increases exceeding AKI limits, regardless the time interval, were also identified. The estimated glomerular filtration rate (eGFR) and kinetic eGFR (KeGFR) were calculated.ResultsDuring the study period, 17,269 hospitalizations and 62,255 SCr tests were recorded. Among the 17,032 hospitalizations with a length of stay > 48 h, 46.8% experienced periods with no SCr tests performed for more than 48 h. Any stage of AKI was identified in 7.0% of patients and in 9.1% using AKI and KDIGO criteria, respectively. Ignoring time limits in both criteria revealed potential AKI in 1942 patients (11.2%), indicating a potential underdiagnosis of AKI by 37.5% or 19.1%, depending on the criteria used. A total of 76 drugs requiring dose adjustment in patients with eGFR ≤ 50 ml/min were prescribed in 78.5% admissions. These drugs were prescribed in 87.9% of patients potentially underdiagnosed with AKIN and in 88.9% with KDIGO.ConclusionThere is a need for changes in the established hospital procedures to ensure more frequent testing of SCr levels. Implementing an advanced scope of practice for clinical pharmacists could support these changes.

Serum chemokine IL-8 acts as a biomarker for identifying COVID-19-associated persistent severe acute kidney injury

Objectives Persistent severe acute kidney injury (PS-AKI) is associated with poor clinical outcomes. Our study attempted to evaluate the diagnostic value of chemokines for early-stage PS-AKI prediction. Methods According to the KDIGO criteria, 115 COVID-19 patients diagnosed with stage 2/3 AKI were recruited from the intensive care unit between December 2022 and February 2023. Primary clinical outcomes included detecting PS-AKI in the first week (≥ KDIGO stage 2 ≥ 72 h). Cytometric Bead Array was used to detect patient plasma levels (interleukin-8 (IL-8), C-C chemokine ligand 5 (CCL5), chemokine (C-X-C Motif) ligand 9 (CXCL9), and interferon-inducible protein 10 (IP-10)) of chemokines within 24 h of enrollment. Results Of the 115 COVID-19 patients with stage 2/3 AKI, 27 were diagnosed with PS-AKI. Among the four measured chemokines, only the IL-8 level was significantly elevated in the PS-AKI group than in the Non-PS-AKI group. IL-8 was more effective as a biomarker while predicting PS-AKI with an area under the curve of 0.769 (0.675-0.863). This was superior to other biomarkers related to AKI, including serum creatinine. Moreover, plasma IL-8 levels of >32.2 pg/ml on admission could predict PS-AKI risk (sensitivity = 92.6%, specificity = 51.1%). Additionally, the IL-8 level was associated with total protein and IL-6 levels. Conclusion Plasma IL-8 is a promising marker for the early identification of PS-AKI among COVID-19 patients. These findings should be validated in further studies with a larger sample size.

Association of perioperative acute kidney injury with oncological outcomes in patients who undergo radical cystectomy: A multicenter retrospective study.

660 Background: Acute kidney injury (AKI) is a frequent complication in patients with muscle-invasive bladder cancer (MIBC) who undergo radical cystectomy (RC). Previous studies have reported that AKI during cancer treatment was associated with poor oncological outcomes in several malignancies. Moreover, we previously have reported the negative impact of neoadjuvant chemotherapy-induced AKI on oncological outcomes in patients with MIBC. However, the impact of perioperative AKI on oncological outcomes in patients who undergo RC remains unclear. Methods: This multi-institutional retrospective study included 798 patients with MIBC who underwent RC. AKI was defined according to the KDIGO criteria. Stage 1 AKI was diagnosed with an increase in serum creatinine by just 0.3 mg/dL. Patients were divided into two groups: patients who developed AKI after RC (AKI group) and patients who did not (non-AKI group). Multivariable Cox-proportional hazards regression analyses were performed to evaluate the impact of perioperative AKI on recurrence-free survival (RFS), cancer-specific survival (CSS), and overall survival (OS). Results: The median age and follow-up period were 70 years and 64 months, respectively. Of the 798 patients, 408 (51%) developed AKI after RC. Approximately 73% AKI were stage 1 AKI. RFS, CSS, and OS in the AKI group were significantly shorter than those in the non-AKI group ( P = 0.003, P = 0.035, and P &lt; 0.001, respectively). After adjustment for confounding variables, AKI was significantly associated with shorter RFS (hazard ratio [HR] 1.357, P = 0.019), CSS (HR 1.345, P = 0.042), and OS (HR 1.344, P = 0.009). Conclusions: Perioperative AKI was associated with poor oncological outcomes in patients with MIBC who underwent RC. [Table: see text]

Longitudinal NGAL and cystatin C plasma profiles present a high level of heterogeneity in a mixed ICU population

BackgroundNGAL and Cystatin C (CysC) as biomarkers for the early detection of AKI are subject to both pathophysiological, as well as patient related heterogeneity. The aim of this study was to investigate the timeline of plasma levels of NGAL and CysC during the first seven days of ICU admission in a mixed ICU population and to relate these to AKI severity during ICU stay. Via these means we aimed to bring clarity to the previously reported heterogeneity of these renal biomarkers.MethodsProspective Observation Cohort. Consecutive patients admitted to adult ICU at an academic hospital in the Netherlands between 18-02-2014 and 31-03-2014 were included. Urine output, serum creatinine, plasma NGAL and CysC were recorded during the first seven days of ICU admission. Biomarker expression was analyzed based on KDIGO score and time of AKI diagnosis.Results335 patients were included, 110 met KDIGO criteria for AKI. NGAL and CysC plasma levels were higher in AKI patients compared to non-AKI, high variability in individual values resulted in 56% of AKI patients having a false negative, and 32% of non-AKI patients having a false positive. Individual biomarker levels were variable, and no pattern based on KDIGO score was observed.ConclusionsPlasma NGAL and CysC as biomarkers for the early AKI detection may be subject to pathophysiological, and patient related heterogeneity. Further understanding of individual biomarker profiles may help in their application amongst mixed ICU populations.Trial RegistrationThe need for informed consent was waived by the Institutional Ethical Review Board of the University Medical Center Groningen (METc 2013 − 174) by Prof. dr. W.A. Kamps on May 17th 2013.

Risk factors and outcome of aortic surgery patients with hypothermic circulatory arrest: can urine NGAL predict acute kidney injury?

Hypothermic circulatory arrest (HCA) is useful to protect visceral organs during aortic operations. The degree of hypothermia and the influence of renal damage remain controversial. To evaluate the incidence of acute kidney injury (AKI) comparing moderate HCA (MHCA) and deep HCA (DHCA) and determine risk factors and ability of urine neutrophil gelatinase associated lipocalin (u-NGAL) to predict AKI. We prospectively enrolled 58 patients who underwent aortic replacement with HCA during May 2019-August 2021. Patients were divided into 2 groups: DHCA (15-20°C) and MHCA (20-25°C). The primary outcome was incidence of AKI. Secondary outcomes included risk factors of AKI. Baseline characteristics were not different between the 2 groups. There were 37 patients in the DHCA group and 21 patients in the MHCA group. Each group was mostly diagnosed with acute type A aortic dissection (60.3%). The operation was hemiarch replacement (51.7%). The overall incidence of AKI was 65.6% according to KDIGO criteria; there was no statistically significant difference between DHCA and MHCA groups. Urine NGAL level at cut-off point > 20 ng/ml at hour 0 and > 70 ng/ml at hour 6 could predict AKI. Operation time more than 360 minutes was found to be a risk factor for AKI. In hospital mortality rates and neurological outcomes were not statistically significantly different between DHCA and MHCA groups. AKI is common in patients undergoing HCA with an overall incidence of more than 60%. Risk factors of AKI after aortic surgery include long operative time. U-NGAL in the early post-operative period can predict AKI.

Prediction of acute kidney injury after cardiac surgery with fibrinogen-to-albumin ratio: a prospective observational study.

The occurrence of acute kidney injury (AKI) following cardiac surgery is common and linked to unfavorable consequences while identifying it in its early stages remains a challenge. The aim of this research was to examine whether the fibrinogen-to-albumin ratio (FAR), an innovative inflammation-related risk indicator, has the ability to predict the development of AKI in individuals after cardiac surgery. Patients who underwent cardiac surgery from February 2023 to March 2023 and were admitted to the Cardiac Surgery Intensive Care Unit of a tertiary teaching hospital were included in this prospective observational study. AKI was defined according to the KDIGO criteria. To assess the diagnostic value of the FAR in predicting AKI, calculations were performed for the area under the receiver operating characteristic curve (AUC), continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Of the 260 enrolled patients, 85 developed AKI with an incidence of 32.7%. Based on the multivariate logistic analyses, FAR at admission [odds ratio (OR), 1.197; 95% confidence interval (CI), 1.064-1.347, p = 0.003] was an independent risk factor for AKI. The receiver operating characteristic (ROC) curve indicated that FAR on admission was a significant predictor of AKI [AUC, 0.685, 95% CI: 0.616-0.754]. Although the AUC-ROC of the prediction model was not substantially improved by adding FAR, continuous NRI and IDI were significantly improved. FAR is independently associated with the occurrence of AKI after cardiac surgery and can significantly improve AKI prediction over the clinical prediction model.

Acute kidney injury as a risk factor for atrial fibrillation after coronary artery bypass grafting — effects of sodium-glucose cotransporter-2 inhibitors

Aim. To identify predictors of paroxysmal atrial fibrillation (pAF) in patients with stable angina after coronary artery bypass grafting (CABG), as well as to evaluate the effect of sodium-glucose cotransporter 2 (SGLT-2) inhibitors.Material and methods. We examined 92 patients with stable angina who received CABG, aged 64±7 years (men, 78,3%). Among this cohort, 81,5% of patients had multivessel coronary artery disease, carbohydrate metabolism disorders — 35,6%, hypertension — 96,7%, chronic kidney disease (CKD) — 23,9%, preprocedural pAF — 10,9%, previous myocardial infarction (MI) — 54,3%. Off-pump CABG was performed in 31,5%, including bilateral inthernal thoracic artery grafting — in 50%. Cardiopulmonary bypass time was 68 (55-83) minutes. The number of grafts was 2,7±0,7. In addition, 18,5% of individuals received SGLT-2 inhibitors. Serum creatinine content was determined by the Jaffe method, and CKD was diagnosed with glomerular filtration rate &lt;60 ml/min. Acute kidney injury (AKI) was assessed according to the KDIGO criteria (2012).Results. The number of patients who had pAF after CABG was 29,3%, AKI — 16,3%. There were following parameters associated with pAF after CABG: creatinine (100;82-142 in patients with pAF and 83;69-105 μmol/l — without pAF, p=0,032) and urea (7,8;5,8-9,7 in patients with pAF and 5,9;4,7-9,1 mmol/l — without pAF, p=0,025) one day after the intervention; postoperative AKI was revealed in 33,3% and 9,2% (p=0,004), while the number of patients taking SGLT-2 inhibitors was 3,7% and 24,6% (p=0,019) in those with and without pAF, respectively. The probability of pAF after CABG increased by an average of 5,5 times with AKI. Patients with pAF after CABG compared to patients without pAF have a higher rate of AKI, intraoperative MI, and cardiac death.Conclusion. The number of patients with pAF after CABG was 29,3%, AKI — 16,3%. Post-CABG pAF predictor was postoperative AKI. The use of SGLT-2 inhibitors was associated with a lower incidence of pAF after intervention. Patients with pAF after CABG have a poor inhospital prognosis.

Acute kidney injury surveillance in the high-risk neonatal population following implementation of creatinine screening protocol.

Acute kidney injury (AKI) in neonates is associated with longer hospital stays and higher mortality rates. However, there is significant variability in prevalence rates of AKI and the true burden is incompletely understood. In November 2020, the University of Iowa Stead Family Children's Hospital Neonatal Intensive Care Unit implemented a creatinine screening protocol to enhance kidney function monitoring. We sought to evaluate adherence to the protocol to determine if increased surveillance led to increased detection of AKI events. A retrospective chart review was conducted for neonates born at <30 weeks' gestation admitted between 2015 and 2020. We reviewed 100 charts in both the pre (2015-2016) and post (2020-2021) implementation era of the AKI surveillance protocol. AKI was defined according to neonatal modified KDIGO criteria. Following implementation of the protocol, neonates were significantly more likely to have creatinine checked (p < 0.001). Serum creatinine was drawn according to protocol guidelines 68% of the time, and 42% of patients (34/82) had an 80% or higher adherence to the protocol. There was a significant increase in detection of AKI in the post-protocol cohort (13/82, incidence of 16%) compared to the pre-protocol cohort (5/83, incidence of 6%), (p = 0.047). The implementation of a serum creatinine screening protocol increased the frequency of creatinine draws and detection of AKI.

Rituximab as add-on therapy in patients with resistant lupus nephritis who have failed induction or maintenance therapy with other agents: A real-world experience from a single center in Mumbai.

Lupus nephritis (LN) is associated with poor outcomes and a significant risk of progression to end-stage renal disease (ESRD). Some patients with resistant LN do not respond adequately to current treatment options and need alternative strategies or therapies. The objective is to evaluate the efficacy and safety of rituximab as a re-induction therapy (Re-RTX) followed by maintenance therapy for patients with resistant LN. Twenty-four patients with resistant LN (failed initial induction therapy or severe relapse after remission) were analyzed. Re-RTX was co-administered with other immunosuppressants. The primary KDIGO criteria outcomes included renal response (complete and partial), disease progression, relapses, and infections. The median age was 28years (IQR 24.5-42), and the female-to-male ratio was 11:1. All patients had active LN, and 91.3% had proliferative LN. Baseline creatinine was 1.075mg% (IQR 0.7-1.38), and mean urine protein-to-creatinine ratio (UPCR) was 4.9 (IQR 2.8-6.65). Of the patients receiving RTX as re-induction therapy, 66.6% (16/24) had failed initial induction therapy with other immunosuppressants, whereas 33.3% (8/24) had severe relapse during maintenance therapy.Re-RTX had a favorable renal response at 6months, with 91.7% of the patients responding (20.8% complete response and 70.8% partial response). At 12months, 58.3% of the patients maintained a renal response (25% complete response and 33.3% partial response). Approximately one-third of patients relapsed within a year.Fourteen patients (58.3%) continued RTX maintenance therapy with two different treatment regimens. At 6months, Regimen-1 (500mg every 6months) resulted in a partial response in 43% (3/7) and relapse in 57% (4/7) of patients. Regimen 2 (1g dose per year) achieved a complete response in 28.5% (2/7) and a partial response in 71.5% (5/7) with no relapses at 6months.At a median follow-up of 29months, adverse renal outcomes were observed in 29.16% of the patients with progression to advanced chronic kidney disease (CKD) or end-stage renal disease (ESRD). The overall use of Re-RTX was considered safe, with a reported infection prevalence of 16%, which is comparable to the existing data. Re-RTX demonstrated efficacy and safety as an induction therapy for resistant LN. However, the response waned after 1year, underscoring the need for optimized maintenance therapy.

Epidemiology and outcomes of early versus late septic acute kidney injury in critically ill patients: A retrospective cohort study

BackgroundIt was recently proposed to distinguish early from late sepsis-associated acute kidney injury (SA-AKI). We aimed to determine the relative frequency of these entities in critically ill patients and to describe their characteristics and outcomes. MethodsWe included in this retrospective cohort study all adult patients admitted for sepsis in a tertiary ICU between 2010 and 2020. We excluded those on chronic dialysis or without consent. We extracted serum creatinine, hourly urinary output, and clinical and socio-demographic data from medical records until day 7 or ICU discharge. AKI presence and characteristics were assessed daily using KDIGO criteria. We compared patients with early (occurring within 2 days of admission) or late (occurring between day 2 and day 7) SA-AKI. We conducted sensitivity analyses using different definitions for early/late SA-AKI. ResultsAmong 1835 patients, 1660 (90%) fulfilled SA-AKI criteria. Of those, 1610 (97%) had early SA-AKI, and 50 (3%) had late SA-AKI. Similar proportions were observed when only considering AKI with elevated sCr (71% vs. 3%), severe AKI (67% vs. 6%), or different time windows for early SA-AKI. Compared with early SA-AKI patients, those with late SA-AKI were younger (median age [IQR] 59 [49–70] vs. 69 [58–76] years, p < 0.001), had lower Charlson comorbidity index (3 [1–5] vs. 5 [3–7], p < 0.001) and lower SAPSII scores (41 [34–50] vs. 53 [43–64], p < 0.001). They had similar (24% vs. 26%, p = 0.75) in-hospital mortality. ConclusionsAKI is almost ubiquitous in septic critically ill patients and present within two days of admission. The timing from ICU admission might not be relevant to distinguish different phenotypes of SA-AKI. Ethics approvalEthics Committee Vaud, Lausanne, Switzerland (n°2017-00008).

Prediction of Acute Kidney Injury in Intracerebral Hemorrhage Patients Using Machine Learning.

Acute kidney injury (AKI) is prevalent in patients with intracerebral hemorrhage (ICH) and is associated with mortality. This study aimed to verify the predictive accuracy of different machine learning algorithms for AKI in patients with ICH using a large dataset. A total of 1366 ICH patients received treatments between 2001 and 2012 from the Medical Information Mart for Intensive Care-III (MIMIC-III) database were identified based on the ICD-9 code: 431. The main outcome of AKI during hospitalizations was confirmed based on the KDIGO criteria. Overall, ICH patients were randomly divided into the training cohort and validation cohort with the ratio of 7:3. Six machine learning algorithms including extreme gradient boosting, logistic, light gradient boosting machine, random forest, adaptive boosting, support vector machine were trained in the training cohort with the 5-fold cross-validation method to predict the AKI. The predictive accuracy of those algorithms was compared by area under the receiver operating characteristics curve (AUC). A total of 1213 ICH patients were included with the incidence of AKI being 29.3%. The incidence of AKI was 29.3% among the 1213 patients with ICH. The AKI group had higher 30-day mortality (p<0.001), longer ICU stay (p<0.001), and longer hospital stay (p<0.001). Among the six machine learning algorithms, the random forest performed the best in predicting AKI in both the training cohort (AUC=1.000) and the validation cohort (AUC=0.698). The top five features in the random forest algorithm-based model were platelets, serum creatinine, vancomycin, hemoglobin, and hematocrit. The random forest algorithm-based predictive model we developed incorporating important features, including platelet count, serum creatinine level, vancomycin level, hemoglobin level, and hematocrit level, performed the best in predicting AKI among patients with ICH.

2877. Influence of vancomycin AUC monitoring on acute kidney injury in a large quasi-experimental study of over 3000 patients

Abstract Background Due to the inconsistent correlation of vancomycin trough concentrations with area under the curve (AUC) and increased rates of vancomycin-induced kidney injury (VIKI), an institutional practice change was implemented in 2017 to use 2-level AUC monitoring. The objective of the present study was to evaluate VIKI outcomes in a large quasi-experimental study. Methods A 4-year quasi-experimental study was performed at an academic medical center and included patients who received parenteral vancomycin for ≥ 72 hours. The primary outcome was the incidence of VIKI defined using KDIGO criteria. Secondary outcomes included inpatient all-cause mortality, median length of stay (LOS), median intensive care unit LOS, and median vancomycin trough concentration. Multivariable logistic regression analyses were used to identify primary predictors of VIKI and all-cause inpatient mortality while controlling for other significant covariates. Results The study included 3207 patients, with 1964 and 1243 in the trough and AUC groups, respectively. Similar baseline demographics (i.e., age, sex, race, weight, BMI, CrCl, Charlson Comorbidity Index) were noted between the groups. Patients in the AUC group were more likely to receive a vancomycin loading dose (32% vs 49%; p&amp;lt; 0.001) and have greater median trough concentrations (11.5 mg/L [8.1-16.0] vs 11.8 mg/L [8.9-16.2]; p=0.008). However, they also had lower median day 3 vancomycin exposures (3500 mg [2250-5000] vs 3250 mg [2500-4500]; p=0.008). Median AUC was 488 (396-607) in the AUC group. No significant differences were noted in the bivariate analysis of VIKI, defined as meeting criteria of any of the 3 KDIGO stages (20.5% vs 19.6%; p=0.112). The multivariable logistic regression suggested AUC monitoring was associated with a 23% decrease in VIKI (OR 0.767; 95% CI 0.621-0.947). All-cause inpatient mortality was significantly decreased in the AUC group (8.1% vs 6.3%; p=0.049). Conclusion VIKI was significantly reduced when AUC monitoring was employed in a large quasi-experimental study comprising over 3000 patients, one of the largest evaluations to date. This further strengthens the recommendation to transition to AUC monitoring for most patients receiving vancomycin for ≥ 72 hours. Disclosures All Authors: No reported disclosures

Impact of acute kidney injury and renal recovery status in deceased donor to kidney transplant outcome: results from the Thai national transplant registry

The influence of acute kidney injury (AKI) and renal recovery in deceased donor (DD) on long-term kidney transplant (KT) outcome has not previously been elucidated in large registry study. Our retrospective cohort study included all DDKT performed in Thailand between 2001 and 2018. Donor data was reviewed case by case. AKI was diagnosed according to the KDIGO criteria. Renal recovery was defined if DD had an improvement in AKI to the normal or lower stage. All outcomes were determined until the end of 2020. This study enrolled 4234 KT recipients from 2198 DD. The KDIGO staging of AKI was as follows: stage 1 for 710 donors (32.3%), stage 2 for 490 donors (22.3%) and stage 3 for 342 donors (15.6%). AKI was partial and complete recovery in 265 (17.2%) and 287 (18.6%) before procurement, respectively. Persistent AKI was revealed in 1906 KT of 990 (45%) DD. The ongoing AKI in DD significantly increases the risk of DGF development in the adjusted model (HR 1.69; 95% CI 1.44–1.99; p < 0.001). KT from DD with AKI and partial/complete recovery was associated with a lower risk of transplant loss (log-rank P = 0.04) and recipient mortality (log-rank P = 0.042) than ongoing AKI. KT from a donor with ongoing stage 3 AKI was associated with a higher risk of all-cause graft loss (HR 1.8; 95% CI 1.12–2.88; p = 0.02) and mortality (HR 2.19; 95% CI 1.09–4.41; p = 0.03) than stage 3 AKI with renal recovery. Persistent AKI, but not recovered AKI, significantly increases the risk of DGF. Utilizing kidneys from donors with improving AKI is generally safe. KT from donors with persistent AKI stage 3 results in a higher risk of transplant failure and recipient mortality. Therefore, meticulous pretransplant evaluation of such kidneys and intensive surveillance after KT is recommended.

Genetic variants of interferon-response factor 5 are associated with the incidence of chronic kidney disease: the D.E.S.I.R. study

Inflammation has been associated with renal diseases. The Interferon Regulatory Factor (IRF)-5 is a key transcription factor in the pro-inflammatory polarization of M1-like macrophages. GWAS have reported that the IRF5 locus is associated with autoimmune diseases and with the estimated glomerular filtration rate (eGFR). We study whether allelic variations in IRF5 are associated with the incidence of chronic kidney disease (CKD) in a general population. We genotyped eleven IRF5 SNPs in the French D.E.S.I.R. cohort from the general population (n = 4820). Associations of SNPs with baseline renal parameters were assessed. Data were analyzed for three endpoints during a 9-year follow-up, incidence of:at least stage 3 CKD, the KDIGO criterion “certain drop in eGFR”, and incidence of micro/macro albuminuria. In the cross-sectional analysis, rs10954213 and rs10954214 were associated with eGFR and rs1874328 with urinary albumin/creatinine ratio (ACR). Rs3807306, rs11761199, rs78658945, rs1874328, rs10954213 and rs11770589 were associated with the incidence of stage 3 CKD in multi-adjusted models. Rs4731532, rs3807306, and rs11761199 were associated with the incidence of CKD defined by the KDIGO. Rs4731532, rs3807306, rs11761199 and rs79288514 were associated with the incidence of micro/macro albuminuria. Our results support the hypothesis of the importance of IRF5 mediated macrophage polarization in the etiology of CKD.

Acute kidney injury is an unfavorable prognostic factor in acute liver failure and is associated with tumor necrosis factor-alpha.

Acute kidney injury (AKI) is a common complication of acute liver failure (ALF); but its pathogenesis is unknown. ALF was divided into 2 subgroups; ALF with hepatic coma, which corresponds to ALF in the US and Europe, and ALF without hepatic coma. AKI has been shown to worsen the prognosis of ALF patients with hepatic coma; however, its prognostic significance in ALF without hepatic coma remains unknown. A single-center retrospective study of 174 patients with ALF was performed. AKI was defined according to KDIGO criteria. AKI developed in 29 (66.0%) of 44 ALF patients with hepatic coma and 27 (38.5%) of 130 ALF patients without hepatic coma. Systemic inflammatory response syndrome (SIRS) was found to be significantly associated with AKI incidence in ALF patients (P < .001). Tumor necrosis factor-alpha (TNF-α) was found to be significantly associated with the presence and severity of AKI (P = .0039 and P = .0140, respectively). On multivariate analysis, TNF-α was an independent risk factor linked with AKI (P = .0103). Even in the absence of hepatic coma, the transplant-free survival rate of ALF was significantly associated with the presence and severity of AKI. Even when hepatic coma is absent, AKI complicated in ALF is strongly associated with TNF-α and worsens the transplant-free survival rate. Before the onset of hepatic coma, plasma exchange, or extracorporeal blood purification to remove inflammatory cytokines should be considered in ALF patients.

Prognostic significance of preoperative nutritional status for postoperative acute kidney injury in older patients undergoing major abdominal surgery: a retrospective cohort study.

The association between malnutrition and postoperative acute kidney injury (AKI) has not been well studied. In this study, the authors examined the association between preoperative nutritional status and postoperative AKI in older patients who underwent major abdominal surgery, as well as the predictive value of malnutrition for AKI. The authors retrospectively included patients aged 65 or older who underwent major elective abdominal surgery. The nutritional status of the patient was evaluated using three objective nutritional indices, such as the geriatric nutritional risk index (GNRI), the prognostic nutritional index (PNI), and the controlling nutritional status (CONUT). AKI was determined using the KDIGO criteria. The authors performed logistic regression analysis to investigate the association between preoperative nutritional status and postoperative AKI, as well as the predictive value of nutritional scores for postoperative AKI. A total of 2775 patients were included in the study, of which 707 (25.5%), 291 (10.5%), and 517 (18.6%) had moderate to severe malnutrition according to GNRI, PNI, and CONUT calculations. After surgery, 144 (5.2%) patients developed AKI, 86.1% at stage 1, 11.1% at stage 2, and 2.8% at stage 3 as determined by KDIGO criteria. After adjustment for traditional risk factors, worse nutritional scores were associated with a higher AKI risk. In addition to traditional risk factors, these nutritional indices improved the predictive ability of AKI prediction models, as demonstrated by significant improvements in integrated discrimination and net reclassification. Poor preoperative nutritional status, as assessed by GNRI, PNI, and CONUT scores, was associated with an increased risk of postoperative AKI. Incorporating these scores into AKI prediction models improved their performance. These findings emphasize the need for screening surgical patients for malnutrition risk. Further research is needed to determine whether preoperative malnutrition assessment and intervention can reduce postoperative AKI incidence.