American journal of kidney diseases : the official journal of the National Kidney Foundation
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Deposits of iron and hemosiderosis in the kidney have been observed in diseases with intravascular hemolysis, including paroxysmal nocturnal hemoglobinuria, and valvular heart diseases and prosthetic heart valve implants. However, the decrease in kidney function associated with hemolysis caused by cardiac valvular disease or prostheses is less well recognized. ⋯ We discuss the pathophysiologic process of both acute and chronic tubular injury from heme and heme proteins, including injury to organelles resulting in autophagic vacuoles containing damaged organelles, such as mitochondria. We conclude that tubular injury resulting from heme proteins should be considered as a cause of decreased kidney function in all patients with a cardiac valvular disease or prosthesis.
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Comparative Study
Proteomic identification of early biomarkers of acute kidney injury after cardiac surgery in children.
Serum creatinine is a delayed marker of acute kidney injury (AKI). Our purpose is to discover and validate novel early urinary biomarkers of AKI after cardiac surgery. ⋯ Urinary α(1)-microglobulin, α(1)-acid glycoprotein, and albumin represent early, accurate, inexpensive, and widely available biomarkers of AKI after cardiac surgery. They also offer prognostic information about the duration of AKI and length of hospitalization after cardiac surgery.
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Comparative Study
Defining acute kidney injury in database studies: the effects of varying the baseline kidney function assessment period and considering CKD status.
Existing acute kidney injury (AKI) definitions are not well adapted for database studies, leading to a great variety of methods used in research. Variations in time before hospitalization used to assess baseline kidney function when identifying episodes of AKI may lead to different case samples and mortality risks in database studies, but the magnitude of these effects is not known. ⋯ Many additional AKI cases may be identified by extending the baseline assessment period; however, added cases may be less severe with lower mortality risk. The relative strengths of these biases and combined effects of reducing misclassification (identification of more AKI cases) and increasing risk dilution (identifying milder cases) may vary across populations. Consensus regarding how baseline kidney function should be determined in database studies should be reached.
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Acute kidney injury (AKI) requiring renal replacement therapy (RRT) in patients undergoing cardiac surgery is associated strongly with adverse patient outcomes. Recently, 3 predictive risk models for RRT have been developed. The aims of our study are to validate the predictive scoring models for patients requiring postoperative RRT and test applicability to the broader spectrum of patients with postoperative severe AKI. ⋯ The Cleveland scoring system offers the best discriminative value to predict postoperative RRT and covers most patients undergoing cardiac surgery. It also can be used for prediction of the composite end point of severe AKI, which enables broader application to patients at risk of postoperative kidney dysfunction.