Nephron
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Acute kidney injury (AKI) is a frequent complication of hospitalized patients and is associated with poor outcomes. Hospitalized patients with AKI may need prolonged dialysis, necessitating post-hospitalization dialysis (PHD-AKI). Scarce information is available to stratify the risks and predict outcomes. This study aims to assess outcomes and identify predictors of outcomes of PHD-AKI within 90 days. ⋯ Dialysis independence of PHD-AKI patients is not uncommon. Certain clinical parameters may help predict renal outcome. Identifying predictors of renal recovery will guide further interventions, especially with the Centers for Medicare and Medicaid Services soon to allow AKI patients to be dialyzed at outpatient ESRD facilities. Ongoing biomarkers research may add further knowledge for optimum diagnosis and prognosis of AKI.
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Despite advances in the approach to cure acute kidney injury (AKI), including definition, classification and treatment methods, there are no standard criteria to withdraw dialysis in the setting of improving AKI. We conducted this survey to elucidate parameters that United States (US) nephrologists used to determine when to stop dialysis with improving renal function in AKI. We hypothesized that there would be a difference in approach to weaning a patient off dialysis based on years in practice or the number of cases of AKI treated per year. ⋯ Resolution of oliguria was the commonest factor used to help deciding to stop dialysis in improving AKI. However, considerable variation was noted among US nephrologists who participated in this survey, regarding what criteria they used to withdraw dialysis in the setting of improving AKI. These results call for more studies in withdrawing dialysis in the setting of AKI that could lead to guideline formulation.
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Long-term kidney affections after sepsis are poorly understood. Animal models for investigating kidney damage in the late phase of disease progression are limited. The aim of this study was to investigate the impact of two antibiotic regimes on persistence of kidney injury after peritonitis. ⋯ Prolonged antibiotic treatment reduced the rate of ongoing peritonitis-induced kidney injury in a C57BL/6 mouse model. Plasma or urine NGAL levels were not able to identify animals with or without persistent kidney injury. The kidney injury after the PCI mouse model represents prototypic clinical findings and should be used for further studies investigating disease mechanisms.
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Postoperative acute kidney injury (AKI) is not only one of the most common postoperative complications but is also associated with increased in-hospital mortality, decreased survival for up to 10 years after surgery and an increased risk for progression to chronic kidney disease and hemodialysis. Most of the studies that have developed clinically applicable risk models for prediction of AKI have focused on the most severe stages of AKI and rarely on less severe stages defined by consensus definitions. Furthermore, although multiple physiological signals are continuously recorded as a part of intraoperative management, their use for the development of risk models for AKI has been limited. Accurate risk stratification of patients in real time would enable the selection of optimal therapy in a timely fashion to prevent AKI altogether, or to mitigate the effects of the complication even before symptoms arise and can be tailored to a patients' personal clinical profile.