Definition Of Acute Kidney Injury Research Articles

Preoperative risk factors for ileostomy-associated kidney injury in colorectal tumor surgery following ileostomy formation

PurposeDiverting ileostomy is related to postoperative high-output stoma (HOS) leading to kidney injury. The purpose of our study was to clarify the risk factors for ileostomy-associated kidney injury, which is kidney injury starting after the first operation to ileostomy closure after colorectal tumor surgery with diverting ileostomy.MethodsBetween January 2013 and December 2020, 442 patients who underwent colorectal tumor surgery (cancer, neuroendocrine tumor, and leiomyosarcoma) following diverting ileostomy formation were included. We used the KDIGO (Kidney Disease Improving Global Outcomes) guidelines, which defines the acute kidney injury (AKI) to classify patients with ileostomy-associated kidney injury. The definition of AKI was (i) serum creatinine (sCr) ≥ 0.3 mg/dL or (ii) sCr ≥1.5-fold the preoperative level. Multivariate analyses were performed to identify the independent risk factors for kidney injury.ResultsKidney injury developed in 99/442 eligible patients (22.4%). Patients in the kidney injury group were older age, male sex, high American Society of Anesthesiologists Physical Status Classification System (ASA-PS) score, hypertension, cardiovascular diseases, diabetes. The preoperative hemoglobin, albumin, prognostic nutritional index (PNI), and creatinine clearance (CCr) were lower, and the maximum wound length was more extended than the non-kidney injury group. The median highest daily stoma output was significantly higher in the kidney injury group. The postoperative white blood cell (WBC) and C-reactive protein (CRP) levels were also high in the kidney injury group. The univariate analysis showed older age, male sex, high ASA-PS score, hypertension, cardiovascular diseases, and diabetes were the risk factors for kidney injury. The multivariate analysis revealed that age 70 or older, ASA-PS III/IV, hypertension, and HOS ≥2000 ml/day were independent risk factors for kidney injury.ConclusionsSurgeons should consider diverting colostomy creation for patients with risk factors such as age 70 or older, ASA-PS III/IV, and hypertension.

Sepsis associated acute kidney injury is common among Aboriginal and Torres Strait Islanders with septic shock and has poor outcomes: A nested cohort study.

Exploration of the incidence and outcomes of Acute Kidney Injury (AKI) broadly, and sepsis associated AKI specifically, in Aboriginal and Torres Strait Islander (First Nations) people has been limited. We compared a nested cohort of First Nations people drawn from a multinational randomised controlled trial of hydrocortisone in septic shock, to a cohort matched for age, sex and severity of illness. Acute Kidney Injury was defined using the Kidney Disease Improving Global Outcomes (KDIGO) criteria, as well as incident use of kidney replacement therapy (KRT). Major Adverse Kidney Events (MAKE) were described as the composite of death, new dialysis requirement or persisting kidney dysfunction at hospital discharge. A cohort of 57 Aboriginal and/or Torres Strait Islander patients with septic shock was identified. 91.2% (52) of the First Nations cohort met KDIGO criteria for Stage 1 AKI or greater and 63% (36) met Stage 3 criteria. 59.6% (34) of the First Nations required dialysis as compared to 45.6% (26) in the matched cohort. 60.7% (34) of First Nations participants met criteria for MAKE at hospital discharge. The proportions requiring dialysis at 6, 12 and 24 months were 8.3%, 9.1% and 6.9% respectively. The incidences of AKI and MAKE reported in this First Nations cohort are substantially higher than in previously published cohorts of patients with sepsis, even those that use sensitive definitions of AKI. Measures to promote better management of infectious diseases in First Nations communities are required.

A sub-study of the POISE-3 randomized trial examined effects of a perioperative hypotension-avoidance strategy versus a hypertension-avoidance strategy on the risk of acute kidney injury

In this pre-specified sub-study of the POISE-3 trial, we examined the effect of a perioperative hypotension-avoidance strategy versus a hypertension-avoidance strategy on the risk of postoperative acute kidney injury (AKI). Altogether, 7307 patients were included from 110 hospitals in 22 countries. Patients were 45 years and older, had or were at risk of atherosclerotic disease, took at least one antihypertensive medication, and were scheduled for noncardiac surgery. Hypotension-avoidance strategy: (i) target intraoperative mean arterial pressure (MAP) 80 mmHg or over, (ii) on day of surgery and for two days after, hold renin-angiotensin-aldosterone system inhibitors and use other antihypertensives in stepwise fashion if systolic blood pressure (SBP) 130 mmHg or more. Hypertension-avoidance strategy: (i) target intraoperative MAP 60 mmHg or more, (ii) continue all antihypertensives before and after surgery. Primary outcome: postoperative AKI, an increase in serum creatinine concentration of either 26.5 μmol/L or more (0.3 mg/dL or more) within 48 hours of randomization or 50% or more within seven days of randomization. The hypotension-avoidance group (3654 patients) used fewer antihypertensive medications than the hypertension-avoidance group (3653 patients); specifically, 6% vs. 38% used an ACEI or ARB on the day of surgery, and 6% vs. 47% and 7% vs. 50% one and two days after surgery, respectively. Patients also spent about half as much intraoperative time with a MAP under 80 mmHg (27 vs. 60 minutes, respectively), but had little difference in average BP before or after surgery. There was no significant difference in AKI risk (15.1% vs. 14.4%). Results were consistent with other definitions of AKI and in patients with preexisting chronic kidney disease. Thus, a hypotension-avoidance strategy targeting a MAP greater than 80 mmHg in the operating room and discontinued blood pressure medication during the perioperative period did not confer a lower risk of AKI compared to a hypertension avoidance strategy. Clinical trial registration number: NCT03505723.

Renal dysfunction in surgical patients.

To provide an overview of the current diagnostic criteria for acute kidney injury (AKI) including their limitations and to discuss prevention and treatment approaches in the perioperative setting. AKI is common in the perioperative period and is associated with worse short- and long-term outcomes. Current definitions of AKI have several limitations and lead to delayed recognition of kidney dysfunction which is why novel diagnostic approaches by using renal biomarkers may be helpful. In general, prevention of the development and progression of AKI is vital as a causal treatment for AKI is currently not available. Optimization of kidney perfusion and avoidance of nephrotoxic drugs reduce the occurrence of AKI in surgical patients. Angiotensin II as a new vasopressor, the use of remote ischemic preconditioning, and amino acids may be approaches with a positive effect on the kidneys. Evidence suggests that the implementation of supportive measures in patients at high risk for AKI might reduce the occurrence of AKI. Novel biomarkers can help allocating resources by detecting patients at high risk for AKI.

Redefining urine output thresholds for acute kidney injury criteria in critically Ill patients: a derivation and validation study

IntroductionThe current definition of acute kidney injury (AKI) includes increased serum creatinine (sCr) concentration and decreased urinary output (UO). Recent studies suggest that the standard UO threshold of 0.5 ml/kg/h may be suboptimal. This study aimed to develop and validate a novel UO-based AKI classification system that improves mortality prediction and patient stratification.MethodsData were obtained from the MIMIC-IV and eICU databases. The development process included (1) evaluating UO as a continuous variable over 3-, 6-, 12-, and 24-h periods; (2) identifying 3 optimal UO cutoff points for each time window (stages 1, 2, and 3); (3) comparing sensitivity and specificity to develop a unified staging system; (4) assessing average versus persistent reduced UO hourly; (5) comparing the new UO-AKI system to the KDIGO UO-AKI system; (6) integrating sCr criteria with both systems and comparing them; and (7) validating the new classification with an independent cohort. In all these steps, the outcome was hospital mortality. Another analyzed outcome was 90-day mortality. The analyses included ROC curve analysis, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and logistic and Cox regression analyses.ResultsFrom the MIMIC-IV database, 35,845 patients were included in the development cohort. After comparing the sensitivity and specificity of 12 different lowest UO thresholds across four time frames, 3 cutoff points were selected to compose the proposed UO-AKI classification: stage 1 (0.2–0.3 mL/kg/h), stage 2 (0.1–0.2 mL/kg/h), and stage 3 (< 0.1 mL/kg/h) over 6 h. The proposed classification had better discrimination when the average was used than when the persistent method was used. The adjusted odds ratio demonstrated a significant stepwise increase in hospital mortality with advancing UO-AKI stage. The proposed classification combined or not with the sCr criterion outperformed the KDIGO criteria in terms of predictive accuracy—AUC-ROC 0.75 (0.74–0.76) vs. 0.69 (0.68–0.70); NRI: 25.4% (95% CI: 23.3–27.6); and IDI: 4.0% (95% CI: 3.6–4.5). External validation with the eICU database confirmed the superior performance of the new classification system.ConclusionThe proposed UO-AKI classification enhances mortality prediction and patient stratification in critically ill patients, offering a more accurate and practical approach than the current KDIGO criteria.

Urine Output and Acute Kidney Injury in Neonates/Younger Children: A Prospective Study of Cardiac Surgery Patients with Indwelling Urinary Catheters.

Pediatric acute kidney injury (AKI) is associated with significant morbidity and mortality, yet a precise definition, especially concerning urine output (UO) thresholds, remains unproven. We evaluate UO thresholds for AKI in neonates and children aged 1-24 months with indwelling urinary catheters undergoing cardiac surgery. A six-year prospective cohort study (2018-2023) after cardiac surgery was conducted at a reference center in Brazil. All patients had indwelling urinary catheters up to 48 hours after surgery and at least two serum creatinine (sCr) measurements, including one before surgery. The main objective of this study was to determine the optimal UO thresholds for AKI definition and staging in neonates and younger children compared with the currently used criteria-neonatal and adult Kidney Disease Improving Global Outcomes (KDIGO) definitions. The outcome was a composite of severe AKI (stage 3 AKI diagnosed by the sCr criterion only), kidney replacement therapy, or hospital mortality. The study included 1,024 patients: 253 in the neonatal group and 772 in the younger children group. In both groups, the lowest UO at 24 hours as a continuous variable had good discriminatory capacity for the composite outcome (AUC-ROC 0.75 [95% CI 0.70-0.81] and 0.74 [95% CI 0.68-0.79]). In neonates, the best thresholds were 3.0, 2.0 and 1.0 mL/kg/hour, and in younger children, the thresholds were 1.8, 1.0 and 0.5 mL/kg/hour. These values were used for modified AKI staging for each age group. In neonates, this modified criterion was associated with the best discriminatory capacity (AUC-ROC 0.74 [0.67-0.80] vs. 0.68 [0.61-0.75], P<0.05) and net reclassification improvement (NRI) in comparison with the neonatal KDIGO criteria. In younger children, the modified criteria had good discriminatory capacity but were comparable to the adult KDIGO criteria, and the NRI was near zero. Using indwelling catheters for UO measurements, our study reinforced that the current KDIGO criteria may require adjustments to better serve the neonate population. Additionally, using the UO criteria, we validated the adult KDIGO criteria in children aged 1-24 months.

Early Creatinine Changes After Aortic Valve Replacement and Late Survival, Heart Failure, and Chronic Kidney Disease in a National Registry

BackgroundThe impact of small increases in serum creatinine after surgical aortic valve replacement (SAVR) that fail to meet the acute kidney injury stage 1 criteria is unknown. The aim of this study was to investigate prognosis after primary SAVR in patients with small increases in postoperative serum creatinine. MethodsThis observational cohort study included all adult patients who underwent primary SAVR in Sweden from 2009 to 2022. The primary outcome was all-cause mortality. Secondary outcomes were chronic kidney disease and heart failure. Regression standardization addressed confounding. ResultsIn 16,766 patients, 4074 (24.2%) had no change in postoperative serum creatinine, 5764 (34.3%) had a small increase in postoperative serum creatinine (0.06 mg/dL ≤ Δserum creatinine <0.3 mg/dL), and 2753 (16.4%) fulfilled the Kidney Disease Improving Global Outcomes acute kidney injury stage 1 criteria. The mean age was 67 years, and 31% of patients were female. No significant difference in long-term all-cause mortality was observed in the no change group at 13 years compared with the small increase group (absolute survival difference, 2.3% [95% CI, 0%-4.6%]). A stepwise increase in the risk of 30-day mortality was observed with increasing changes in serum creatinine. At 13 years of follow-up, there was a significant difference in the risk of chronic kidney disease (absolute difference, 2.8% [95% CI, 1.0%-4.5%]) and heart failure (absolute difference, 3.5% [95% CI, 1.3%-5.7%]) between the no change and small increase groups. ConclusionsA small increase in postoperative serum creatinine after SAVR was associated with an increased risk of adverse outcomes. The acute kidney injury definition may benefit from including more reliable and specific biomarkers together with small creatinine increases to detect kidney injury.

Challenges in estimating the severity of kidney dysfunction in critically ill children

Abstract Acute kidney injury (AKI) is a common problem in critical care settings and conferred an increased risk of morbidities and mortality. The pendulum has shifted to the increasing number of children with comorbidities exposed to potential kidney damage. AKI is a complex clinical syndrome due to heterogeneous etiology. There has been an evolution in the definition and staging of AKI over the past two decades. However, estimating glomerular filtration rate in rapidly changing kidney function remains challenging. Although biomarkers are promising in AKI identification, timing is crucial in deciding which biomarker to measure. The outcome of AKI is not always recovery, but it is an interconnected syndrome with acute and chronic kidney disease.

Risk of acute kidney injury following contrast-enhanced CT or MRI in a cohort of 3061 hospitalized children in China

ObjectivesTo compare the risk of acute kidney injury (AKI) between hospitalized children who received intravenous contrast media for imaging examinations and those who did not.MethodsThis retrospective cohort study enrolled patients aged 0–18 years with serum creatinine levels before and after imaging examinations from 2015 to 2020 at Beijing Children’s Hospital. Participants were classified into an exposure group or a control group. Log-binomial regression analysis was used to estimate the adjusted risk ratio (aRR) value for the association between exposure to contrast media and consequential AKI. After which, inverse probability treatment weighting was used to reduce systematic differences in baseline characteristics among the groups. Moreover, subgroup and sensitivity analyses were performed. Finally, multivariate logistic regression analysis was performed to identify risk factors for pediatric AKI.ResultsIn total, 3061 pediatric patients were included in the analyses (median age, 4.5 [IQR, 1.3–8.9] years, 1760 males). According the KDIGO definition of AKI, the incidence of AKI in the exposure group, and the control group were 7.4% and 6.5%, respectively; furthermore, the aRR was 1.35 (95% CI: 1.31–1.39). In patients underwent CT, the risk of AKI in the exposure group of contrast media increased compared with the control group and the aRR was 1.39 (95% CI: 1.09–1.78). However, it is not observed in patients underwent MRI (aRR: 1.36; 95% CI: 0.96–1.95). According to our subgroup analysis of pediatric patients aged ≥ 2 years (aRR: 1.38; 95% CI: 1.05–1.82) and sensitivity analysis (aRR: 1.32, 95% CI: 1.08–1.61), the risk of AKI in the exposure group was greater than that in the control group. An increased risk to exposure to contrast media was seen in females (aRR: 1.41, 95% CI: 1.05–1.89) rather than males (aRR: 1.30, 95% CI: 0.99–1.70). According to the multivariate logistic regression analyses, the baseline eGFR (OR: 1.02; 95% CI: 1.01–1.03) and comorbidities (OR: 2.97; 95% CI: 1.89–4.65) were risk factors, while age (OR: 0.87; 95% CI: 0.84–0.91) was a protective factor against AKI.ConclusionThe evidence from the present study suggested that the increased risk of AKI in hospitalized children induced by intravascular contrast should not be ignored.

Acute Kidney Injury in Neonatal Intensive Care Unit: Epidemiology, Diagnosis and Risk Factors.

Acute kidney injury (AKI) is associated with long-term consequences and poor outcomes in the neonatal intensive care unit. Its precocious diagnosis represents one of the hardest challenges in clinical practice due to the lack of sensitive and specific biomarkers. Currently, neonatal AKI is defined with urinary markers and serum creatinine (sCr), with limitations in early detection and individual treatment. Biomarkers and risk factor scores were studied to predict neonatal AKI, to early identify the stage of injury and not the damage and to anticipate late increases in sCr levels, which occurred when the renal function already began to decline. Sepsis is the leading cause of AKI, and sepsis-related AKI is one of the main causes of high mortality. Moreover, preterm neonates, as well as patients with post-neonatal asphyxia or after cardiac surgery, are at a high risk for AKI. Critical patients are frequently exposed to nephrotoxic medications, representing a potentially preventable cause of AKI. This review highlights the definition of neonatal AKI, its diagnosis and new biomarkers available in clinical practice and in the near future. We analyze the risk factors involving patients with AKI, their outcomes and the risk for the transition from acute damage to chronic kidney disease.

The Road to Precision Medicine for Acute Kidney Injury.

Acute kidney injury (AKI) is a common form of organ dysfunction in the ICU. AKI is associated with adverse short- and long-term outcomes, including high mortality rates, which have not measurably improved over the past decade. This review summarizes the available literature examining the evidence of the need for precision medicine in AKI in critical illness, highlights the current evidence for heterogeneity in the field of AKI, discusses the progress made in advancing precision in AKI, and provides a roadmap for studying precision-guided care in AKI. Medical literature regarding topics relevant to precision medicine in AKI, including AKI definitions, epidemiology, and outcomes, novel AKI biomarkers, studies of electronic health records (EHRs), clinical trial design, and observational studies of kidney biopsies in patients with AKI. English language observational studies, randomized clinical trials, reviews, professional society recommendations, and guidelines on areas related to precision medicine in AKI. Relevant study results, statements, and guidelines were qualitatively assessed and narratively synthesized. We synthesized relevant study results, professional society recommendations, and guidelines in this discussion. AKI is a syndrome that encompasses a wide range of underlying pathologies, and this heterogeneity has hindered the development of novel therapeutics for AKI. Wide-ranging efforts to improve precision in AKI have included the validation of novel biomarkers of AKI, leveraging EHRs for disease classification, and phenotyping of tubular secretory clearance. Ongoing efforts such as the Kidney Precision Medicine Project, identifying subphenotypes in AKI, and optimizing clinical trials and endpoints all have great promise in advancing precision medicine in AKI.

Low estimated glomerular filtration rate and high body mass index are risk factors for acute kidney injury in systemic lupus erythematosus patients after cardiac surgery.

The occurrence of acute kidney injury (AKI) is common following cardiac surgery, especially among patients characterized with systemic lupus erythematosus (SLE), but studies on this clinical scenario have been limited by the rarity of SLE. We aimed to explore the risk predictors and outcomes with regards to postoperative AKI among cardiac-surgical patients concomitant with SLE. This was a single-center retrospective study performed in a tertiary hospital. Adult patients diagnosed with SLE who underwent cardiac surgery within the last 22 years were enrolled. Essential variables, including patient-, surgery- and anesthesia-related information, were collected from the medical record system. The definition of AKI was derived from the Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Risk predictors suspected to be linked with post-surgical AKI were calculated using the univariable and multivariable analyses. Of all 59 SLE patients undergoing cardiac surgery, 57 were ultimately enrolled into the analysis. AKI occurred in 29 patients (50.9%), who had significantly longer extubation time (median difference 1.0 day, P < 0.001), ICU length of stay (median difference 2.0 days, P = 0.001), postoperative length of stay (median difference 5.0 days, P = 0.026), and more postoperative major complications (odds ratio 10.29, P = 0.025) than the others. Preoperative estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m2 (odds ratio 5.31, P = 0.021) and body mass index (BMI) ≥ 24 kg/m2 (odds ratio 4.32, P = 0.043) were the only two factors in the multivariable analysis that were significantly correlated with the development of postoperative AKI in patients with SLE after cardiac surgery. AKI in SLE patients after cardiac surgery is common and requires scrutiny, especially in overweight patients with moderate to severe preoperative renal dysfunction.

A Potential Anti-inflammatory Effect of Ertugliflozin in Animal Model

Background: Acute kidney injury (AKI) accounts for up to 60% of hospitalized patients in intensive care units and is a widespread diagnosis. Recent years have seen an increase in risk factors for it, including old age, chronic diabetes, and kidney disease (CKD). The definition of acute kidney injury (AKI), formerly known as acute renal failure, is a rapid decrease in the glomerular filtration rate. Nephrotoxicity is mainly caused by drugs and auto-immune-induced kidney injury, which is defined by immune cell infiltration in the tubulointerstitial. Interleukin-1B (IL-1B) and tumor necrosis factor-alpha (TNF-α) are signs of kidney inflammation. Objective: Evaluate the Anti-inflammatory effect of ertugliflozin. Materials &amp; Methods: Thirty adult male albino rats were recruited. These rats were raised in an animal house with a special commercial diet and water. After ten days of acclimatization, the selected rats were separated at random into three groups. Each experimental group consisted of ten rats. This study ran from December 18, 2023, to January 1, 2024, and was carried out in the Animal House of the College of Medicine/University of Babylon. Serum samples were taken for measuring IL-1B and TNF-α. Result: The results demonstrated that ertugliflozin provides anti-inflammatory in the treated groups. The two parameters manifest it. Conclusion: The results emphasize that ertugliflozin has an anti-inflammatory effect.

Reframing acute kidney injury as a pathophysiological continuum of disrupted renal excretory function.

Surrogate measures of glomerular filtration rate (GFR) continue to serve as pivotal determinants of the incidence, severity, and management of acute kidney injury (AKI), as well as the primary reference point underpinning knowledge of its pathophysiology. However, several clinically important deficits in aspects of renal excretory function during AKI other than GFR decline, including acid-base regulation, electrolyte and water balance, and urinary concentrating capacity, can evade detection when diagnostic criteria are built around purely GFR-based assessments. The use of putative markers of tubular injury to detect "sub-clinical" AKI has been proposed to expand the definition and diagnostic criteria for AKI, but their diagnostic performance is curtailed by ambiguity with respect to their biological meaning and context specificity. Efforts to devise new holistic assessments of overall renal functional compromise in AKI would foster the capacity to better personalize patient care by replacing biomarker threshold-based diagnostic criteria with a shift to assessment of compromise along a pathophysiological continuum. The term AKI refers to a syndrome of sudden renal deterioration, the severity of which is classified by precise diagnostic criteria that have unquestionable utility in patient management as well as blatant limitations. Particularly, the absence of an explicit pathophysiological definition of AKI curtails further scientific development and clinical handling, entrapping the field within its present narrow GFR-based view. A refreshed approach based on a more holistic consideration of renal functional impairment in AKI as the basis for a new diagnostic concept that reaches beyond the boundaries imposed by the current GFR threshold-based classification of AKI, capturing broader aspects of pathogenesis, could enhance AKI prevention strategies and improve AKI patient outcome and prognosis.

#462 Initiation of SGLT2i vs GLP1-RA and incidence of AKI in persons with type 2 diabetes mellitus

Abstract Background and Aims Adverse kidney outcomes, including acute kidney injury (AKI), are frequent complications in people with diabetes mellitus type 2. In large placebo-controlled randomized trials, both sodium-glucose cotransporter-2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP1-RA) have shown efficacy in reducing the risk of kidney outcomes; however, no trial has compared the kidney protective effects of these drug classes head-to-head. We therefore conducted an emulated target trial to compare the effect of SGLT2i to that of GLP1-RA on the incidence of AKI. Method Using routinely collected data from nationwide Danish population-based registries, we included all adults with diabetes mellitus type 2 initiating SGLT2i or GLP1-RA in 2015-2020. Patients with prevalent kidney failure (defined as eGFR &amp;lt; 15 mL/min/1.73m2, dialysis, or kidney transplant), and patients initiating GLP1-RA marketed specifically for treatment of obesity were excluded. We assessed demographic and diabetes-related baseline characteristics along with comorbidities and comedication. We used propensity scores, estimated by logistic regression, to compute stabilized inverse probability of treatment weights, which were applied in all analyses to reduce confounding. Using an intention to treat approach, we followed patients from treatment initiation until the first of death, emigration, or end of follow-up (31 December 2021). Using creatinine measurements from in- and outpatient settings, we applied the KDIGO definition of AKI to record each episode of AKI during follow-up. We estimated the risk of a first AKI episode over time using the Aalen-Johansen estimator. Furthermore, to estimate the mean number of AKIs over time, i.e., including recurrent AKIs, we used the mean cumulative count estimator. Both estimators account for the competing risk of death. Comparing SGLT2i to GLP1-RA, we reported differences in risks and counts at 1, 3 and 5 years of follow-up. Finally, we estimated all-cause mortality using the Kaplan-Meier estimator. We used bootstrapping to obtain 95% confidence intervals (95% CI). Results We included 68 010 individuals, of which 44 034 (65%) initiated SGLT2i, and 23 976 (35%) initiated GLP1-RA. Initiators of SGLT2i were slightly older (median age 63 vs 62 years) and more often male (63% vs 56%) than initiators of GLP1-RA, but with similar diabetes duration (7 vs 7 years). The annual number of initiators of each drug in Denmark increased over the study period. Compared to GLP1-RA, initiators of SGLT2i generally had better estimated glomerular filtration rate (eGFR) at baseline (9% vs 18% had eGFR &amp;lt; 60 mL/min/1.73m2), more frequently used metformin (91% vs 84%), but less frequently insulin (11% vs 28%). Initiators of SGLT2i had a lower prevalence of hospital-diagnosed retinopathy (7% vs 9%), neuropathy (5% vs 6%), and obesity (13% vs 23%) than initiators of GLP1-RA. After inverse probability of treatment weighting, each variable was well balanced with absolute standardized mean differences below 0.02. During a median follow-up of 2.8 years, the weighted absolute risks of first time AKI at 1, 3, and 5 years were 4.8%, 11.2%, and 17.0% for initiators of SGLT2i, and 5.4%, 12.3%, and 19.1% for initiators of GLP1-RA, resulting in AKI risk differences of −0.6% (95% CI: −1.0% to −0.3%), −1.0% (95% CI: −1.7% to −0.5%), and −2.0% (95% CI: −3.0% to −1.1%). The mean cumulative counts showed a similar pattern, with SGLT2i initiators experiencing slightly fewer AKI episodes than GLP1-RA initiators on average (Fig. 1). After 5 years, an estimated 10.3% of SGLT2i initiators and 9.6% of GLP1-RA initiators had died, resulting in a risk difference of 0.7% (95% CI: -0.1% to 1.5%). Conclusion People with diabetes mellitus type 2 who initiated SGLT2i had slightly lower weighted incidence of AKI over 5 years than those initiating GLP1-RA.

Uric acid and acute kidney injury in high-risk patients for developing acute kidney injury undergoing cardiac surgery: A prospective multicenter study

PurposeIt is unclear whether preoperative serum uric acid (SUA) elevation may play a role in the development of acute kidney injury (AKI) associated with cardiac surgery (CSA-AKI). We conducted a cohort study to evaluate the influence of preoperative hyperuricemia on AKI in patients at high risk for developing SC-AKI. DesignMulticenter prospective international cohort study. SettingFourteen university hospitals in Spain and the United Kingdom. ParticipantsWe studied 261 consecutive patients at high risk of developing CSA-AKI, according to a Cleveland score ≥ 4 points, from July to December 2017. InterventionsNone. Measurements and main resultsAKIN criteria were used for the definition of AKI. Multivariable logistic regression models and propensity score-matched pairwise analysis were used to determine the adjusted association between preoperative hyperuricemia (≥7 mg/dL) and AKI. Elevated preoperative AUS (≥7 mg/dL) was present in 190 patients (72.8%), whereas CSA-AKI occurred in 145 patients (55.5%). In multivariable logistic regression models, hyperuricemia was not associated with a significantly increased risk of AKI (adjusted Odds Ratio [OR]: 1.58; 95% confidence interval [CI]: 0.81–3; P = .17). In propensity score-matched analysis of 140 patients, the hyperuricemia group experienced similar adjusted odds of AKI (OR 1.05, 95%CI 0.93–1.19, P = .37). ConclusionsHyperuricemia was not associated with an increased risk of AKI in this cohort of patients undergoing cardiac surgery at high risk of developing CSA-AKI.

Updates on new eGFR equations and acute kidney injury definitions

Updates on new eGFR equations and acute kidney injury definitions

Acute kidney injury in acute liver failure: A narrative review.

Acute kidney injury (AKI) is a frequent complication of acute liver failure (ALF) and it worsens the already worse prognoses of ALF. ALF is an uncommon disease, with varying etiologies and varying definitions in different parts of the world. There is limited literature on the impact of AKI on the outcome of ALF with or without transplantation. The multifaceted etiology of AKI in ALF encompasses factors such as hemodynamic instability, systemic inflammation, sepsis and direct nephrotoxicity. Indications of renal replacement therapy (RRT) for AKI in ALF patients extend beyond the conventional criteria for dialysis and continuous renal replacement therapy (CRRT) may have a role in transplant-free survival or bridge to liver transplantation (LT). LT is a life-saving option for ALF, so despite somewhat lower survival rates of LT in ALF patients with AKI, LT is not usually deferred. In this review, we will discuss the guidelines' recommended definition and classification of AKI in ALF, the impact of AKI in ALF, the pathophysiology of AKI and the role of CRRT and LT in ALF patients with AKI.

Sepsis-Associated Acute Kidney Injury: Where Are We Now?

Worldwide, sepsis is a well-recognized cause of death. Acute kidney injury (AKI) may be related to sepsis in up to 70% of AKI cases. Sepsis-associated AKI (SA-AKI) is defined as the presence of AKI according to the Kidney Disease: Improving Global Outcomes criteria in the context of sepsis. SA-AKI is categorized into early, which presents during the first 48 h of sepsis, and late, presenting between 48 h and 7 days of sepsis. SA-AKI is associated with a worse prognosis among patients with sepsis. However, there are different SA-AKI phenotypes as well as different pathophysiological pathways of SA-AKI. The aim of this review is to provide an updated synopsis of the pathogenetic mechanisms underlying the development of SA-AKI as well as to analyze its different phenotypes and prognosis. In addition, potential novel diagnostic and prognostic biomarkers as well as therapeutic approaches are discussed. A plethora of mechanisms are implicated in the pathogenesis of SA-AKI, including inflammation and metabolic reprogramming during sepsis; various types of cell death such as apoptosis, necroptosis, pyroptosis and ferroptosis; autophagy and efferocytosis; and hemodynamic changes (macrovascular and microvascular dysfunction). Apart from urine output and serum creatinine levels, which have been incorporated in the definition of AKI, several serum and urinary diagnostic and prognostic biomarkers have also been developed, comprising, among others, interleukins 6, 8 and 18, osteoprotegerin, galectin-3, presepsin, cystatin C, NGAL, proenkephalin A, CCL-14, TIMP-2 and L-FABP as well as biomarkers stemming from multi-omics technologies and machine learning algorithms. Interestingly, the presence of long non-coding RNAs (lncRNAs) as well as microRNAs (miRNAs), such as PlncRNA-1, miR-22-3p, miR-526b, LncRNA NKILA, miR-140-5p and miR-214, which are implicated in the pathogenesis of SA-AKI, may also serve as potential therapeutic targets. The combination of omics technologies represents an innovative holistic approach toward providing a more integrated view of the molecular and physiological events underlying SA-AKI as well as for deciphering unique and specific phenotypes. Although more evidence is still necessary, it is expected that the incorporation of integrative omics may be useful not only for the early diagnosis and risk prognosis of SA-AKI, but also for the development of potential therapeutic targets that could revolutionize the management of SA-AKI in a personalized manner.

Artificial intelligence and acute kidney injury

Digitalization is increasingly finding its way into intensive care units and with it artificial intelligence (AI) for critically ill patients. One promising area for the use of AI is in the field of acute kidney injury (AKI). The use of AI is primarily focused on the prediction of AKI, but further approaches are also being used to classify existing AKI into different phenotypes. Different AI models are used for prediction. The area under the receiver operating characteristic curve values (AUROC) achieved with these models vary and are influenced by several factors, such as the prediction time and the definition of AKI. Most models have an AUROC between 0.650 and 0.900, with lower values for predictions further into the future and when applying Acute Kidney Injury Network (AKIN) instead of KDIGO criteria. Classification into phenotypes already makes it possible to categorize patients into groups with different risks of mortality or requirement of renal replacement therapy (RRT), but the etiologies or therapeutic consequences derived from this are still lacking. However, all the models suffer from AI-specific shortcomings. The use of large databases does not make it possible to promptly include recent changes in therapy and the implementation of new biomarkers in arelevant proportion. For this reason, serum creatinine and urinary output, with their known limitations, dominate current AI models for prediction impairing the performance of the current models. On the other hand, the increasingly complex models no longer allow physicians to understand the basis on which the warning of athreatening AKI is calculated and subsequent initiation of therapy should take place. The successful use of AIs in routine clinical practice will be highly determined by the trust of the physicians in the systems and overcoming the aforementioned weaknesses. However, the clinician will remain irreplaceable as the decisive authority for critically ill patients by combining measurable and nonmeasurable parameters.