Assessment Of Acute Kidney Injury Research Articles

Combined effect of anion gap and red cell distribution width on the risk of acute kidney injury after cardiac surgery

BackgroundThis study was to analyze the roles of red blood cell distribution width (RDW), anion gap (AG) levels and their combined effects on the risk of acute kidney injury (AKI) following cardiac surgery.MethodsThis cohort study extracted the data of 1951 participants aged ≥ 18 years with the assessment of AKI after cardiac surgery during ICU stay from MIMIC-IV database between 2008 and 2019. Receiver operator characteristic (ROC) curve was used to determine the optimal cut-off value AG and RDW. The associations between AG, RDW, and the combined effects of AG and effects were evaluated via univariable and multivariable Logistic models. Odds ratio (OR) with 95% confidence interval (CI) were imputed.ResultsAmong all the participants, 831 participants had AKI, and 1120 did not have AKI. ROC curves revealed that the optimum cut of points of AG and RDW were 12.75 mmol/L, and 13.65%, respectively. Increased risk of AKI was found in patients after cardiac surgery with AG > 12.75 mmol/L (OR = 1.44, 95%CI 1.15–1.80) or RDW > 13.65% group (OR = 1.23, 95%CI 1.01–1.50). In comparison to subjects with AG ≤ 12.75 mmol/L and RDW ≤ 13.65%, AG > 12.75 mmol/L and RDW ≤ 13.65% (OR = 1.42, 95%CI 1.07–1.89), and AG > 12.75 mmol/L and RDW > 13.65% (OR = 1.75, 95%CI 1.24–2.47) were associated with increased odds of AKI in patients after cardiac surgery.ConclusionsAG and RDW had combined effects on risk of AKI in patients after cardiac surgery, which might offer an insight for the management of patients after cardiac surgery.

#668 Combined biomarker testing for the assessment of acute kidney injury among myocardial infarction patients

Abstract Background and aims The utility of different biomarkers for the prediction of acute kidney injury following ST-elevation myocardial infarction (STEMI) has been evaluated in several studies however, very few data exist on the prognostic value of combining biomarkers. Among numerous biomarkers examined, C-reactive protein (CRP) and Neutrophil gelatinase associated Lipocalin (NGAL) stand high in their utility to assess AKI risk. The aim of this study was to assess the prognostic value of combined CRP and NGAL measurement for the assessment of the risk of AKI in reperfused STEMI patients Methods Blood samples for plasma NGAL and CRP were drawn 24 hours after admission. High NGAL and CRP were defined as values within the 4th quartile (>75percentile). Patients were stratified into 4 study groups: Low NGAL/Low CRP, LOW NGAL/high CRO, High NGAL /low CRP and high NGAL/high CRP. Patients were assessed for the occurrence of in-AKI based on the KDIGO criteria. Results A total of 311 patients were included (mean age 66 ± 14 years, 81% males). According to the 4 study groups, there was a stepwise increase in the proportion of AKI (9% vs. 21% vs. 40% vs. 68%; p 0.001; Fig. 1). In a multivariate regression model, compared to patients having low NGAL/low CRP we observed a graded, independent increase in the risk for AKI for low NGAL/high CRP, high NGAL/low CRP and high NGAL/high CRP(OR 2.89, p = 0.02 vs. OR 3.29, p < 0.001 vs. OR 17.6, p < 0.001 respectively, Table 1). Peak concentrations showed significant areas under the curves (AUCs) for the prediction of AKI for both CRP AUC (0.692, 95% CI 0.62-0.76) and NGAL (AUC 0.778, 95% CI 0.72-0.84). The combination of NGAL and CRP yielded a significant increase in AUC to 0.822 (95% CI 0.77 to 0.88) (combined biomarkers vs CRP: p < 0.001 and combined vs. NGAL: p = 0.02; Fig. 2). Conclusions In patients with reperfused STEMI, the combined assessment of NGAL and CRP provided incremental prognostic information for the prediction AKI when compared with single-biomarker measurement.

Assessment of Acute Kidney Injury using MRI.

There has been growing interest in using quantitative magnetic resonance imaging (MRI) to describe and understand the pathophysiology of acute kidney injury (AKI). The ability to assess kidney blood flow, perfusion, oxygenation, and changes in tissue microstructure at repeated timepoints is hugely appealing, as this offers new possibilities to describe nature and severity of AKI, track the time-course to recovery or progression to chronic kidney disease (CKD), and may ultimately provide a method to noninvasively assess response to new therapies. This could have significant clinical implications considering that AKI is common (affecting more than 13 million people globally every year), harmful (associated with short and long-term morbidity and mortality), and currently lacks specific treatments. However, this is also a challenging area to study. After the kidney has been affected by an initial insult that leads to AKI, complex coexisting processes ensue, which may recover or can progress to CKD. There are various preclinical models of AKI (from which most of our current understanding derives), and these differ from each other but more importantly from clinical AKI. These aspects are fundamental to interpreting the results of the different AKI studies in which renal MRI has been used, which encompass different settings of AKI and a variety of MRI measures acquired at different timepoints. This review aims to provide a comprehensive description and interpretation of current studies (both preclinical and clinical) in which MRI has been used to assess AKI, and discuss future directions in the field. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY: Stage 3.

Indexed neutrophil gelatinase associated lipocalin: a novel biomarker for the assessment of acute kidney injury.

Acute kidney injury (AKI) is a clinically relevant and common complication among patients with acute coronary syndrome. Neutrophil gelatinase-associated lipocalin (NGAL), secreted from different cells including renal tubules, has been widely studied as an early marker for kidney injury. However, chronic kidney disease (CKD) could impact NGAL levels and alter their predictive performance. Some studies attempted to address this issue by setting different cutoff values for patients with CKD, with limited success to date. Our aim was to evaluate a novel estimated glomerular filtration rate(eGFR)-adjusted "indexed NGAL" and its ability to predict in-hospital AKI among patients with ST elevation myocardial infarction. We performed a prospective, observational, single center study involving patients with ST elevation myocardial infarction admitted to the coronary intensive care unit. Serum samples for baseline NGAL were collected within 24h following hospital admission. The eGFR was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. In-hospital AKI was determined as occurring after ≥ 24h from admission. To perform an individualized adjustment, we used the result of 24h NGAL divided by the eGFR measured upon admission to the hospital (Indexed-NGAL; I-NGAL). Our cohort includes 311 patients, of whom 123 (40%) had CKD, and 66 (21%) suffered in-hospital AKI. NGAL levels as well as I-NGAL levels were significantly higher in patients with AKI (136 vs. 86, p < 0.01 and 3.13 VS. 1.06, p < 0.01, respectively). Multivariate analysis revealed I-NGAL to be independently associated with AKI (OR 1.34 (1.10-1.58), p < 0.01). I-NGAL had a higher predictive ability than simple NGAL results (AUC-ROC of 0.858 vs. 0.778, p < 0.001). Adjusting NGAL values according to eGFR yields a new indexed NGAL valuethat enables better prediction of AKI regardless of baseline kidney function.

Early assessment of acute kidney injury in severe acute pancreatitis with multimodal DWI: an animal model.

To evaluate the feasibility of multimodal diffusion-weighted imaging (DWI) for detecting the occurrence and severity of acute kidney injury (AKI) caused by severe acute pancreatitis (SAP) in rats. SAP was induced in thirty rats by the retrograde injection of 5.0% sodium taurocholate through the biliopancreatic duct. Six rats underwent MRI of the kidneys 24h before and 2, 4, 6, and 8h after this AKI model was generated. Conventional and functional MRI sequences were used, including intravoxel incoherent motion imaging (IVIM), diffusion tensor imaging (DTI), and diffusion kurtosis imaging (DTI). The main DWI parameters and histological results were analyzed. The fast apparent diffusion coefficient (ADC) of the renal cortex was significantly reduced at 2h, as was the fractional anisotropy (FA) value of the renal cortex on DTI. The mean kurtosis (MK) values for the renal cortex and medulla gradually increased after model generation. The renal histopathological score was negatively correlated with the medullary slow ADC, fast ADC, and perfusion scores for both the renal cortex and medulla, as were the ADC and FA values of the renal medulla in DTI, whereas the MK values of the cortex and medulla were positively correlated (r = 0.733, 0.812). Thus, the cortical fast ADC, medullary MK, FADTI, and slow ADC were optimal parameters for diagnosing AKI. Of these parameters, cortical fast ADC had the highest diagnostic efficacy (AUC = 0.950). The fast ADC of the renal cortex is the core indicator of early AKI, and the medullary MK value might serve as a sensitive biomarker for grading renal injury in SAP rats. The multimodal parameters of renal IVIM, DTI, and DKI are potential beneficial for the early diagnosis and severity grading of renal injury in SAP patients. • The multimodal parameters of renal DWI, including IVIM, DTI, and DKI, may be valuable for the noninvasive detection of early AKI and the severity grading of renal injury in SAP rats. • Cortical fast ADC, medullary MK, FA, and slow ADC are optimal parameters for early diagnosis of AKI, and cortical fast ADC has the highest diagnostic efficacy. • Medullary fast ADC, MK, and FA as well as cortical MK are useful for predicting the severity grade of AKI, and the renal medullary MK value exhibits the strongest correlation with pathological scores.

Urinary Biomarkers for the Assessment of Acute Kidney Injury of Pediatric Sickle Cell Anemia Patients Admitted for Severe Vaso-occlusive Crises.

Sickle cell nephropathy is a progressive morbidity, beginning in childhood, which is incompletely understood partially due to insensitive measures. We performed a prospective pilot study of pediatric and young adult patients with sickle cell anemia (SCA) to assess urinary biomarkers during acute pain crises. Four biomarkers were analyzed with elevations potentially suggesting acute kidney injury: (1) neutrophil gelatinase-associated lipocalin (NGAL), (2) kidney injury molecule-1, (3) albumin, and (4) nephrin. Fourteen unique patients were admitted for severe pain crises and were found to be representative of a larger SCA population. Urine samples were collected at the time of admission, during admission, and at follow-up after discharge. Exploratory analyses compared cohort values to the best available population values; individuals were also compared against themselves at various time points. Albumin was found to be moderately elevated for an individual during admission compared with follow-up ( P = 0.006, Hedge g : 0.67). Albumin was not found to be elevated compared with population values. Neutrophil gelatinase-associated lipocalin, kidney injury molecule-1, and nephrin were not found to be significantly elevated compared with population values or comparing admission to follow-up. Though albumin was found to be minimally elevated, further research should focus on alternative markers in efforts to further understand kidney disease in patients with SCA.

TIMP-2 and IGFBP7 in human kidney biopsies in renal disease.

Tissue inhibitor of matrix metalloproteinase-2 (TIMP-2) and insulin-like growth factor binding protein 7 (IGFBP7) are markers of tubular stress and urinary [TIMP-2]*[IGFBP7] is an established biomarker for risk assessment of acute kidney injury. There are no studies of expression profiles or localization of these markers in human renal tissue with confirmed renal disease. We analysed 37 kidney biopsies of patients with renal disease and 10 non-diseased control biopsies for TIMP-2 and IGFBP7 expression using immunohistochemistry. Changes in glomerular morphology were evaluated by a semi-quantitative glomerulosclerosis score (GSI) and tubular interstitial changes were graded by the tubular injury score (TSI) using periodic acid-Schiff-stained paraffin sections. Interstitial fibrosis and tubular atrophy (IF/TA) were graded according to the Banff classification. Urinary [TIMP-2]*[IGFBP7] was collected at the time of biopsy. TIMP-2 and IGFBP7 had significantly greater expression in kidney biopsies from patients with renal disease compared with control tissue, especially in the tubular compartment. Here, IGFBP7 was detected in proximal and distal tubules while TIMP-2 was predominantly localized in the collecting ducts. Renal injury significantly correlated with staining intensity for TIMP-2 and IGFBP7: GSI weakly correlated with glomerular TIMP-2 (r=0.36) and IGFBP7 (r=0.35) and TSI correlated with tubular TIMP-2 (r=0.41) and IGFBP7 (r=0.43). Urinary [TIMP-2]*[IGFBP7] correlated weakly with the histopathological damage score but not with glomerular and tubular expression. Our findings underline the role of TIMP-2/IGFBP7 as an unspecific marker of renal injury that is already in use for early detection of acute kidney injury.

Assessment of acute kidney injury in dogs suffering from babesiosis and leptospirosis

Acute kidney injury (AKI) is a serious complication of infectious diseases like babesiosis and leptospirosis in dogs. Both the diseases show similar clinical manifestations, due to which timely differential diagnosis often gets delayed. The present study focused on diagnosis of major infectious agents causing AKI and its grading in dogs. Peripheral blood smear examination and PCR were used for the diagnosis of babesiosis. Leptospirosis was screened using PCR and MAT and was later confirmed by MAT on paired sera sample. Diagnosis of AKI was made based on the increase in serum creatinine levels ≥0.3 mg/dL within 48 h of presentation. Staging of animals was carried out as per International Renal Interest Society (IRIS) guidelines. All the dogs with confirmed leptospirosis and 15 per cent of dogs with babesiosis were diagnosed with AKI. The timely diagnosis of AKI in dogs during their initial stages helps to regain normal renal function within short-term treatment itself.

Biomarker Rule-in or Rule-out in Patients With Acute Diseases for Validation of Acute Kidney Injury in the Emergency Department (BRAVA): A Multicenter Study Evaluating Urinary TIMP-2/IGFBP7.

BackgroundUrine tissue inhibitor of metalloproteinases-2/insulin-like growth factor-binding protein 7 (TIMP-2/IGFBP7) (NephroCheck, Ortho Clinical Diagnostics, Raritan, NJ, USA) is a US Food and Drug Administration-approved biomarker for risk assessment of acute kidney injury (AKI) in critically ill adult patients in intensive care units; however, its clinical impact in the emergency department (ED) remains unproven. We evaluated the utility of NephroCheck for predicting AKI development and short-term mortality in the ED.MethodsThis was a prospective, observational, five-center international study. We consecutively enrolled ED patients admitted with ≥30% risk of AKI development (assessed by ED physician ED score) or acute diseases. Serum creatinine was tested on ED arrival (T0), day 1, and day 2 (T48); urine for NephroCheck was collected at T0 and T48. We performed ROC curve and reclassification analyses.ResultsAmong the 529 patients enrolled (213 females; median age, 65 years), AKI developed in 59 (11.2%) patients. The T0 NephroCheck value was higher in the AKI group than in the non-AKI group (median 0.77 vs. 0.29 (ng/m)2/1,000, P=0.001), and better predicted AKI development than the ED score (area under the curve [AUC], 0.64 vs. 0.53; P=0.04). In reclassification analyses, adding NephroCheck to the ED score improved the prediction of AKI development (P<0.05). The T0 NephroCheck value predicted 30-day mortality (AUC, 0.68; P<0.001).ConclusionsNephroCheck can predict both AKI development and short-term mortality in at-risk ED patients. NephroCheck would be a useful biomarker for early ruling-in or ruling-out of AKI in the ED.

The Rate and Risk Factors of Acute Kidney Injury among Cancer Patients' Admissions in Palestine: A Single-Center Study.

Introduction Acute kidney injury (AKI) remains a critical issue for cancer patients despite recent treatment improvements. This study aimed to assess the incidence of AKI in cancer patients and its related risk factors. Methods A Retrospective cohort study was conducted at tertiary hospitals in the period 2016–2018. A data abstraction sheet was used to collect related variables from patients' records. During admission, the incidence of AKI was assessed using creatinine measurements. RIFLE criteria were used to classify it into five categories of severity: risk, injury, failure, loss, and end-stage renal disease. Results Using RIFLE (Risk, Injury, Failure, Loss, and End-stage renal disease) criteria, 6.9% of admissions were complicated with AKI. The severity of these fell into the categories of risk, injury, and failure, 3.3%, 1.7%, and 1.9%, respectively. In the multivariate model, the odds for developing AKI was significantly higher for patients with congestive heart failure (AOR = 17.1, 95% CI 1.7–80.1), chronic kidney disease (adjusted OR = 6.8, 95% CI 1.4–32.2 (P value 0.017)), sepsis (AOR = 4.4, 95% CI 1.9–10.1), hypercalcemia (AOR = 8.4, 95% CI 1.3–46.1), and admission to the ICU (AOR = 5.8, 95% CI 2.1–16.2). In addition, the mortality rate was nearly seven times higher for patients complicated by AKI (relative risk = 7.6, 95% CI 3.2–18.2). Conclusion AKI was significantly associated with congestive heart failure, chronic kidney disease, sepsis, ICU admission, and hypercalcemia in cancer patients, resulting in poorer outcomes and higher mortality rates. AKI assessment for hospitalized cancer patients should be performed regularly, especially for patients at increased risk.

Abstract 10210: Automating Risk Assessment of Acute Kidney Injury for Patients Undergoing Percutaneous Coronary Intervention

Background: The risk of acute kidney injury (AKI) for percutaneous coronary intervention (PCI) can inform decision-making and mitigation. However, risk assessment is hampered by the burden of manually abstracting and inputting data required by the established model developed on registry data. Accordingly, there is a need to develop AKI models that use automatically extracted electronic health records (EHR) data and evaluate their performance in comparison to the contemporary registry model. Methods: We used EHR data for PCIs performed at Yale New Haven Hospital (YNHH) and the linked local National Cardiovascular Data Registry (NCDR) CathPCI data to develop and compare the EHR models with the NCDR model. AKI was defined as an increase of ≥0.3 mg/dL or 50% in serum creatinine. To maximize interoperability across systems and usability at the point of care, we only considered structured EHR readily extractable before PCI, and implemented simple but universal data preprocessing. Longitudinal data was aggregated into 24h, 7d and 14d prior to PCI. We used Lasso regression and gradient descent boosting (GDB) to train the models and tested their capacity to approximate the NCDR model predictions and predict AKI independently. We evaluated performance via cross-validation by c-statistic, calibration slope, and predictive range defined by event rate difference in the lowest and highest risk deciles. We used paired t tests for model comparison. Results: The cohort included 9,202 PCIs from December 2012 to November 2019 at YNHH for 8,445 patients and had a mean age of 67.0±12.0 years with 27.6% females and 798 (8.7%) AKIs. Evaluated on the same test sets, the EHR models approximating the NCDR model predictions achieved similar performance to that model (all p&gt;0.05). Further, the EHR model employing GDB to independently predict AKI achieved slightly better performance than the NCDR model in c-statistic (0.84 vs 0.83, p=0.02) and predictive range (41.2% vs 39.5%, p=0.13) with similar calibration (slope 0.98 vs 0.99). Conclusion: The automatically extracted EHR data produced models with similar performance to the registry model. These models can automate AKI risk assessment for PCI, alleviating provider burden and increase uptake of risk assessment.

Early biochemical markers in the assessment of acute kidney injury in children after cardiac surgery

AbstractOur aim was to evaluate biochemical markers in plasma (NGAL, CysC) and urine (NGAL, KIM‐1) in children's early onset of acute kidney injury after congenital heart defect surgery using cardiopulmonary bypass. This study prospectively included 100 children with congenital heart defects who developed AKI. Patients with acute kidney injury had significantly higher CysC levels 6 and 12 h after cardiac surgery and plasma NGAL levels 2 and 6 h after cardiac surgery. The best predictive properties for the development of acute kidney injury are the combination (+CysCpl or +NGALu) after 12 h and a combination (+CysCpl and +NGALu) 6 and 24 h after cardiac surgery. We showed that plasma CysC and urinary NGAL could reliably predict the development of acute kidney injury. Measurement of early biochemical markers in plasma and urine, individually and combination, may predict the development of cardiac surgery‐associated acute kidney injury in children.

Urine Biomarkers for the Assessment of Acute Kidney Injury in Neonates with Hypoxic Ischemic Encephalopathy Receiving Therapeutic Hypothermia

To evaluate the predictive performance of urine biomarkers for acute kidney injury (AKI) in neonates with hypoxic ischemic encephalopathy (HIE) receiving therapeutic hypothermia. We performed a multicenter prospective observational study of 64 neonates. Urine specimens were obtained at 12, 24, 48, and 72hours of life and evaluated for neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), cystatin C, interleukin-18 (IL-18), tissue inhibitor of metalloproteinases 2 (TIMP2), and insulin-like growth factor-binding protein 7 (IGFBP7). Logistic regression models with receiver operating characteristics for area under the curve (AUC) were used to assess associations with neonatal modified KDIGO (Kidney Disease: Improving Global Outcomes) AKI criteria. AKI occurred in 16 of 64 infants (25%). Neonates with AKI had more days of vasopressor drug use compared with those without AKI (median [IQR], 2 [0-5] days vs 0 [0-2] days; P=.026). Mortality was greater in neonates with AKI (25% vs 2%; P=.012). Although NGAL, KIM-1, and IL-18 were significantly associated with AKI, the AUCs yielded only a fair prediction. KIM-1 had the best predictive performance across time points, with an AUC (SE) of 0.79 (0.11) at 48hours of life. NGAL and IL-18 had AUCs (SE) of 0.78 (0.09) and 0.73 (0.10), respectively, at 48hours of life. Urine NGAL, KIM-1, and IL-18 levels were elevated in neonates with HIE receiving therapeutic hypothermia who developed AKI. However, wide variability and unclear cutoff levels make their clinical utility unclear.

Assessment Of Acute Kidney Injury Among Asphyxiated Neonates

Assessment Of Acute Kidney Injury Among Asphyxiated Neonates

C-reactive protein and haemoglobin level in acute kidney injury among preterm newborns.

Aim To explore the possibility of C-reactive protein (CRP) and haemoglobin (Hb) in prediction and risk assessment of acute kidney injury (AKI) among preterm newborns. This is believed to be closely related to the incidences of AKI, and could be the most affordable in early detection of AKI. Methods A case control study was carried out at Dr Hasan Sadikin Hospital in Bandung with a total of 112 preterms divided into two groups: with and without AKI based on the neonatal KDIGO (Kidney Disease: Improving Global Outcomes). CRP and creatinine serum were measured within 6 hours and at 72-96 hours after birth. The routine blood count included haemoglobin, haematocrit, leucocyte, and thrombocyte in the first 24 hours of life. Results CRP increase was the most influential factor for AKI with sensitivity of 80.6% and specificity of 60.2%. An increase in CRP >0.04 had an aOR (95% CI) of 5.64 (1.89-16.84). Haemoglobin <14.5 g/dL had slightly increased aOR (95% CI) of 1.65 (1.05- 8.63) Conclusion CRP increases >0.04 and level Hb <14.5 g/dL showed acceptable as an early warning for AKI in preterm newborns.

Assessment of Acute Kidney Injury and Longitudinal Kidney Function After Hospital Discharge Among Patients With and Without COVID-19

Acute kidney injury (AKI) occurs in up to half of patients hospitalized with coronavirus disease 2019 (COVID-19). The longitudinal effects of COVID-19-associated AKI on kidney function remain unknown. To compare the rate of change in estimated glomerular filtration rate (eGFR) after hospital discharge between patients with and without COVID-19 who experienced in-hospital AKI. A retrospective cohort study was conducted at 5 hospitals in Connecticut and Rhode Island from March 10 to August 31, 2020. Patients who were tested for COVID-19 and developed AKI were screened, and those who survived past discharge, did not require dialysis within 3 days of discharge, and had at least 1 outpatient creatinine level measurement following discharge were included. Diagnosis of COVID-19. Mixed-effects models were used to assess the association between COVID-19-associated AKI and eGFR slope after discharge. The secondary outcome was the time to AKI recovery for the subgroup of patients whose kidney function had not returned to the baseline level by discharge. A total of 182 patients with COVID-19-associated AKI and 1430 patients with AKI not associated with COVID-19 were included. The population included 813 women (50.4%); median age was 69.7 years (interquartile range, 58.9-78.9 years). Patients with COVID-19-associated AKI were more likely to be Black (73 [40.1%] vs 225 [15.7%]) or Hispanic (40 [22%] vs 126 [8.8%]) and had fewer comorbidities than those without COVID-19 but similar rates of preexisting chronic kidney disease and hypertension. Patients with COVID-19-associated AKI had a greater decrease in eGFR in the unadjusted model (-11.3; 95% CI, -22.1 to -0.4 mL/min/1.73 m2/y; P = .04) and after adjusting for baseline comorbidities (-12.4; 95% CI, -23.7 to -1.2 mL/min/1.73 m2/y; P = .03). In the fully adjusted model controlling for comorbidities, peak creatinine level, and in-hospital dialysis requirement, the eGFR slope difference persisted (-14.0; 95% CI, -25.1 to -2.9 mL/min/1.73 m2/y; P = .01). In the subgroup of patients who had not achieved AKI recovery by discharge (n = 319), COVID-19-associated AKI was associated with decreased kidney recovery during outpatient follow-up (adjusted hazard ratio, 0.57; 95% CI, 0.35-0.92). In this cohort study of US patients who experienced in-hospital AKI, COVID-19-associated AKI was associated with a greater rate of eGFR decrease after discharge compared with AKI in patients without COVID-19, independent of underlying comorbidities or AKI severity. This eGFR trajectory may reinforce the importance of monitoring kidney function after AKI and studying interventions to limit kidney disease after COVID-19-associated AKI.

Renal resistive index is associated with acute kidney injury in COVID-19 patients treated in the intensive care unit

BackgroundRenal resistive index (RRI) is a promising tool for the assessment of acute kidney injury (AKI) in critically ill patients in general, but its role and association to AKI among patients with Coronavirus disease 2019 (COVID-19) is not known.ObjectiveThe aim of this study was to describe the pattern of RRI in relation to AKI in patients with COVID-19 treated in the intensive care unit.MethodsIn this observational cohort study, RRI was measured in COVID-19 patients in six intensive care units at two sites of a Swedish University Hospital. AKI was defined by the creatinine criteria in the Kidney Disease Improving Global Outcomes classification. We investigated the association between RRI and AKI diagnosis, different AKI stages and urine output.ResultsRRI was measured in 51 patients, of which 23 patients (45%) had AKI at the time of measurement. Median RRI in patients with AKI was 0.80 (IQR 0.71–0.85) compared to 0.72 (IQR 0.67–0.78) in patients without AKI (p = 0.004). Compared to patients without AKI, RRI was higher in patients with AKI stage 3 (median 0.83, IQR 0.71–0.85, p = 0.006) but not in patients with AKI stage 1 (median 0.76, IQR 0.71–0.83, p = 0.347) or AKI stage 2 (median 0.79, min/max 0.79/0.80, n = 2, p = 0.134). RRI was higher in patients with an ongoing AKI episode compared to patients who never developed AKI (median 0.72, IQR 0.69–0.78, p = 0.015) or patients who developed AKI but had recovered at the time of measurement (median 0.68, IQR 0.67–0.81, p = 0.021). Oliguric patients had higher RRI (median 0.84, IQR 0.83–0.85) compared to non-oliguric patients (median 0.74, IQR 0.69–0.81) (p = 0.009). After multivariable adjustment, RRI was independently associated with AKI (OR for 0.01 increments of RRI 1.22, 95% CI 1.07–1.41).ConclusionsCritically ill COVID-19 patients with AKI have higher RRI compared to those without AKI, and elevated RRI may have a role in identifying severe and oliguric AKI at the bedside in these patients.

Clinical phenotypes of acute kidney injury are associated with unique outcomes in critically ill septic children.

BackgroundAssessment of acute kidney injury (AKI) in septic patients remains imprecise. In adults, the classification of septic patients by clinical AKI phenotypes (severity and timing) demonstrates unique associations with patient outcome vs. broadly defined AKI.MethodsIn a multinational prospective observational study, AKI diagnosis in critically ill septic children was stratified by duration (transient vs. persistent) and severity (mild vs. severe by creatinine change and urine output). The outcomes of interest were mortality and intensive care unit resource complexity at 28 days.ResultsSeven hundred and fifty-seven septic children were studied (male 52.7%, age 4.6 years (1.5–11.9)). Mortality (overall 12.1%) was different between severe AKI and mild AKI (18.3 vs. 4.4%, p < 0.001) as well as intensive care unit (ICU) complexity (overall 34.5%, 45 vs. 21.7%, p < 0.001). Patients with Persistent AKI had fewer ICU-free days (17 (7, 21) vs. 24 (17, 26), p < 0.001) and higher ICU complexity (52.8 vs. 22.9%, p = 0.002) than transient AKI, even after exclusion of patients with early mortality. AKI phenotypes incorporating temporal and severity data correlate with unique survival (range 4.4–21.6%) and ICU-free days (range of 15–25 days)ConclusionsThe outcome of septic children with AKI changes by clinical phenotype. Our findings underscore the importance of prognostic enrichment in sepsis and AKI for the purpose of trial design and patient management.Impact Although AKI occurs commonly in patients with sepsis (S-AKI), outcomes for children with S-AKI varies based on the severity and timing of the AKI.Existing S-AKI pediatric data utilize a broad singular definition of kidney injury. Increasing the precision of AKI classification results in a new understanding of how S-AKI associates with patient outcome.A refined classification of S-AKI identifies subgroups of children, making possible a targeted and a personalized medicine approach to S-AKI study and management.

Risk assessment of acute kidney injury following cardiopulmonary bypass

BackgroundAcute kidney injury (AKI) is a frequent and serious complication of cardiac surgery, associated with a high incidence of morbidity and mortality. Although the RIFLE criteria serve as a prominent tool to identify patients at high risk of AKI, an optimized diagnosis model in clinical practice is desired.MethodsBased on the SOP-criteria, 365 patients (10%) developed AKI following surgery and were subjected to RRT. In contrast, the incidence of AKI, defined according to the RIFLE criteria, was only 7% (n = 251 patients). Prominent risk factors identified by SOP were patients’ sex, valve and combined valve and bypass surgery, deep hypothermia, use of intra-aortic balloon pump (IABP) and previous coronary interventions. Ischemia, reperfusion, blood loss and surgery time also served as significant risk factors for patient evaluated by SOP.ResultsRisk assessment by RIFLE differed in as much as most patients with normothermia and those receiving only cardiovascular bypass developed AKI. However, patients’ sex and valve surgery did not serve as a risk factor.ConclusionEvaluation of patients by the RIFLE versus SOP criteria yielded different results with more AKI patients detected by SOP. Based on the present data, it is concluded that patients may not prone to AKI when surgery and ischemia time will be kept short, when blood loss is mitigated to a minimum and when surgery is performed under non-hypothermic conditions.

Acute Kidney Injury and Covid-19: A Scoping Review and Meta-Analysis.

Acute kidney injury (AKI) is a fatal complication of the new severe acute respiratory syndrome coronavirus (SARS-CoV-2) which causes COVID-19 disease. Here, we performed a scoping review and meta-analysis including clinical studies on patients with SARS-CoV-2 infection with data on AKI assessment and characteristics, and the overall prevalence of AKI was estimated using a random-effects model. We identified 21 articles which passed the search criteria. All were quantitative observational studies which used a cross-sectional, retrospective, case report, or cohort methodology. This showed that aging, diabetes, cardiovascular disease, previous chronic disease, and other comorbidities were risk factors of AKI. Although the prevalence of proteinuria, hematuria, and increased serum creatinine was reported for up to 60% of the patients with COVID-19, the overall prevalence of AKI was estimated to be 8%. We conclude that although approximately two-thirds of patients with COVID-19 had symptoms of kidney damage, most of these did not meet the diagnostic criteria for AKI. Further studies should be performed to validate biomarkers for improved AKI diagnosis in COVID-19 patients and new treatment options are required to reduce the rate of mortality.