Epidemiologic study, level IV. Therapeutic study, level IV.
Achieving a ratio of FFP:PRBC ≥ 1:1.5 after the initial 24 h of resuscitation significantly improves survival in massively transfused trauma patients compared to patients that achieved a ratio <1:1.5.
Acute renal failure definitions have changed dramatically over the last 5 to 10 years as a result of criteria established through the following consensus statements/organizations: RIFLE (Risk, Injury, Failure, Loss of function, End stage renal disease), AKIN (Acute Kidney Injury Network), and KDIGO (Kidney Disease: Improving Global Outcomes). In 2002, the Acute Dialysis Quality Initiative was tasked with the goal of establishing a consensus statement for acute kidney injury (AKI). The first order of business was to provide a standard definition of AKI. Up to this point, literature comparison was challenging as studies lacked uniformity in renal injury definitions. Implementing results into evidence-based clinical practice was difficult. The panel coined the term “acute kidney injury,” encompassing previous terms, such as renal failure and acute tubular necrosis. This new terminology represented a broad range of renal insults, from dehydration to those requiring renal replacement therapy (RRT). This review provides an algorithmic approach to the epidemiology, pathophysiology, diagnosis, prevention, and management of AKI. Also discussed are special circumstances, including rhabdomyolysis, contrast-induced nephropathy, and hepatorenal syndrome. Tables outline the AKIN criteria, most current KDIGO consensus guidelines for definition of AKI, differential diagnosis of AKI, agents capable of causing AKI, treatment for specific complications associated with AKI, and options for continuous RRT. Figures show the RIFLE classification scheme and KDIGO staging with prevention strategies. This review contains 1 management algorithm, 2 figures, 6 tables, and 85 references. Keywords: Kidney, renal, KDIGO, azotemia, critical, urine, oliguria, creatinine, dialysis
Consent and conversion rates of potential organ donors in the United States need to be maximized to match the number of individuals awaiting organ donation. Studies to date have not focused on characteristics of centers with better outcomes. We performed an 8-year (2006–2014) retrospective study of our local organ procurement organization database. We categorized hospitals in our region as academic centers versus nonacademic centers, trauma centers versus nontrauma centers, and large (≥400 beds) centers versus small (<400 beds) centers. We also compared trauma centers with Level I designation to all other centers. Primary outcomes included consent and conversion rates for potential organ donors. There were 22,732 referrals to our organ procurement organization that resulted in 1,057 eligible deaths. When comparing academic to nonacademic hospitals, academic hospitals had higher consent (71% vs 59%, P < 0.0001) and conversion (73% vs 64%, P = 0.008) rates. Level I trauma centers had better consent and conversion rates when compared to all other hospitals, 73 versus 55 per cent and 76 versus 61 per cent respectively, P < 0.0001 for both. The small, academic, trauma centers had the highest consent and conversion rates, 77 and 78 per cent, respectively, P < 0.0001 for both. Hospital characteristics such as academic involvement, Level I trauma designation, and size impact consent and conversion rates for potential organ donors. Small (<400 bed), academic, trauma centers have the highest consent rates and conversion rates. Factors for success in these institutions should be examined and applied to assist in improving donor rates across all types of hospitals.
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