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<title>Clinical Journal of the American Society of Nephrology Acute Renal Failure</title>
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<description>Clinical Journal of the American Society of Nephrology RSS feed -- recent Acute Renal Failure articles</description>
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<title>Clinical Journal of the American Society of Nephrology</title>
<url>http://cjasn.asnjournals.org/icons/banner/title.gif</url>
<link>http://cjasn.asnjournals.org</link>
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<title><![CDATA[Predicting Acute Renal Failure after Cardiac Surgery: External Validation of Two New Clinical Scores]]></title>
<link>http://cjasn.asnjournals.org/cgi/content/short/3/5/1260?rss=1</link>
<description><![CDATA[
<P>Background and objectives: Different scores to predict acute kidney injury after cardiac surgery have been developed recently. The purpose of this study was to validate externally two clinical scores developed at Cleveland and Toronto.</P>
<P>Design, setting, participants, &amp; measurements: A retrospective analysis was conducted of a prospectively maintained database of all cardiac surgeries performed during a 5-yr period (2002 to 2006) at a University Hospital in Madrid, Spain. Acute kidney injury was defined as the need for renal replacement therapy. For evaluation of the performance of both models, discrimination and calibration were measured.</P>
<P>Results: Frequency of acute kidney injury after cardiac surgery was 3.7% in the cohort used to validate the Cleveland score and 3.8% in the cohort used to validate the Toronto score. Discrimination of both models was excellent, with values for the areas under the receiving operator characteristics curves of 0.86 (95% confidence interval 0.81 to 0.9) and 0.82 (95% confidence interval 0.76 to 0.87), respectively. Calibration was poor, with underestimation of the risk for acute kidney injury except for patients within the very-low-risk category. The performance of both models clearly improved after recalibration.</P>
<P>Conclusions: Both models were found to be very useful to discriminate between patients who will and will not develop acute kidney injury after cardiac surgery; however, before using the scores to estimate risk probabilities at a specific center, recalibration may be needed.</P>
]]></description>
<dc:creator><![CDATA[Candela-Toha, A., Elias-Martin, E., Abraira, V., Tenorio, M. T., Parise, D., de Pablo, A., Centella, T., Liano, F.]]></dc:creator>
<dc:date>2008-08-26</dc:date>
<dc:identifier>info:doi/10.2215/CJN.00560208</dc:identifier>
<dc:title><![CDATA[Predicting Acute Renal Failure after Cardiac Surgery: External Validation of Two New Clinical Scores]]></dc:title>
<dc:publisher>American Society of Nephrology</dc:publisher>
<prism:number>5</prism:number>
<prism:volume>3</prism:volume>
<prism:endingPage>1265</prism:endingPage>
<prism:publicationDate>2008-09-01</prism:publicationDate>
<prism:startingPage>1260</prism:startingPage>
<prism:section>Acute Renal Failure</prism:section>
</item>

<item rdf:about="http://cjasn.asnjournals.org/cgi/content/short/3/5/1266?rss=1">
<title><![CDATA[Preoperative Use of Angiotensin-Converting Enzyme Inhibitors/Angiotensin Receptor Blockers Is Associated with Increased Risk for Acute Kidney Injury after Cardiovascular Surgery]]></title>
<link>http://cjasn.asnjournals.org/cgi/content/short/3/5/1266?rss=1</link>
<description><![CDATA[
<P>Background and objectives: Acute kidney injury (AKI) occurs commonly after cardiac surgery. Most patients who undergo cardiac surgery receive long-term treatment with angiotensin-converting enzyme inhibitors (ACEI) or angiotensin II receptor blockers (ARB). The aim of this study was to determine whether long-term use of ACEI/ARB is associated with an increased incidence of AKI after cardiac surgery.</P>
<P>Design, setting, participants, &amp; measurements: This was a retrospective cohort study of 1358 adult patients who underwent cardiac surgery between January 1, 2001, and December 31, 2005, in two tertiary care hospitals in Buffalo, NY. The incidence of AKI was determined after cardiac surgery. Clinical data were collected using a standardized form that included comorbid condition, use of ACEI/ARB, and intraoperative and postoperative complications.</P>
<P>Results: Overall, 40.2% of patients developed AKI. Preoperative variables that were significantly associated with development of AKI included increasing age; nonwhite race; combined valve surgery and coronary artery bypass grafting compared with coronary artery bypass grafting alone; American Society of Anesthesiologists (ASA) Risk Score category 4/5 compared with 2 to 3; presence of diabetes, congestive heart failure, or neurologic disease at baseline; use of ACEI/ARB; and emergency surgery. Intra- and postoperative factors that were associated with postoperative AKI were hypotension during surgery, use of vasopressors, and postoperative hypotension. Multiple regression logistic model confirmed an independent and significant association of AKI and preoperative use of ACEI/ARB. This was confirmed using a bivariate-probit and propensity score model that adjusts for confounding by indication of use and selection bias.</P>
<P>Conclusions: Preoperative use of ACEI/ARB is associated with a 27.6% higher risk for AKI postoperatively. Stopping ACEI or ARB before cardiac surgery may reduce the incidence of AKI.</P>
]]></description>
<dc:creator><![CDATA[Arora, P., Rajagopalam, S., Ranjan, R., Kolli, H., Singh, M., Venuto, R., Lohr, J.]]></dc:creator>
<dc:date>2008-08-26</dc:date>
<dc:identifier>info:doi/10.2215/CJN.05271107</dc:identifier>
<dc:title><![CDATA[Preoperative Use of Angiotensin-Converting Enzyme Inhibitors/Angiotensin Receptor Blockers Is Associated with Increased Risk for Acute Kidney Injury after Cardiovascular Surgery]]></dc:title>
<dc:publisher>American Society of Nephrology</dc:publisher>
<prism:number>5</prism:number>
<prism:volume>3</prism:volume>
<prism:endingPage>1273</prism:endingPage>
<prism:publicationDate>2008-09-01</prism:publicationDate>
<prism:startingPage>1266</prism:startingPage>
<prism:section>Acute Renal Failure</prism:section>
</item>

<item rdf:about="http://cjasn.asnjournals.org/cgi/content/short/3/5/1274?rss=1">
<title><![CDATA[Incidence and Outcomes of Contrast-Induced AKI Following Computed Tomography]]></title>
<link>http://cjasn.asnjournals.org/cgi/content/short/3/5/1274?rss=1</link>
<description><![CDATA[
<P>Background and objectives: Most studies of contrast-induced acute kidney injury (CIAKI) have focused on patients undergoing angiographic procedures. The incidence and outcomes of CIAKI in patients undergoing nonemergent, contrast-enhanced computed tomography in the inpatient and outpatient setting were assessed.</P>
<P>Design, setting, participants, &amp; measurements: Patients with estimated glomerular filtration rates (GFRs) &lt;60 ml/min per 1.73 m<SUP>2</SUP> undergoing nonemergent computed tomography with intravenous iodinated radiocontrast at an academic VA Medical Center were prospectively identified. Serum creatinine was assessed 48 to 96 h postprocedure to quantify the incidence of CIAKI, and the need for postprocedure dialysis, hospital admission, and 30-d mortality was tracked to examine the associations of CIAKI with these medical outcomes.</P>
<P>Results: A total of 421 patients with a median estimated GFR of 53 ml/min per 1.73 m<SUP>2</SUP> were enrolled. Overall, 6.5% of patients developed an increase in serum creatinine &ge;25%, and 3.5% demonstrated a rise in serum creatinine &ge;0.5 mg/dl. Although only 6% of outpatients received preprocedure and postprocedure intravenous fluid, &lt;1% of outpatients with estimated GFRs &gt;45 ml/min per 1.73 m<SUP>2</SUP> manifested an increase in serum creatinine &ge;0.5 mg/dl. None of the study participants required postprocedure dialysis. Forty-six patients (10.9%) were hospitalized and 10 (2.4%) died by 30-d follow-up; however, CIAKI was not associated with these outcomes.</P>
<P>Conclusions: Clinically significant CIAKI following nonemergent computed tomography is uncommon among outpatients with mild baseline kidney disease. These findings have important implications for providers ordering and performing computed tomography and for future clinical trials of CIAKI.</P>
]]></description>
<dc:creator><![CDATA[Weisbord, S. D., Mor, M. K., Resnick, A. L., Hartwig, K. C., Palevsky, P. M., Fine, M. J.]]></dc:creator>
<dc:date>2008-08-26</dc:date>
<dc:identifier>info:doi/10.2215/CJN.01260308</dc:identifier>
<dc:title><![CDATA[Incidence and Outcomes of Contrast-Induced AKI Following Computed Tomography]]></dc:title>
<dc:publisher>American Society of Nephrology</dc:publisher>
<prism:number>5</prism:number>
<prism:volume>3</prism:volume>
<prism:endingPage>1281</prism:endingPage>
<prism:publicationDate>2008-09-01</prism:publicationDate>
<prism:startingPage>1274</prism:startingPage>
<prism:section>Acute Renal Failure</prism:section>
</item>

<item rdf:about="http://cjasn.asnjournals.org/cgi/content/short/3/4/948?rss=1">
<title><![CDATA[Ascertainment and Epidemiology of Acute Kidney Injury Varies with Definition Interpretation]]></title>
<link>http://cjasn.asnjournals.org/cgi/content/short/3/4/948?rss=1</link>
<description><![CDATA[
<P>Background and objectives: Differences in defining acute kidney injury (AKI) may impact incidence ascertainment. We assessed the effects of different AKI definition interpretation methods on epidemiology ascertainment.</P>
<P>Design, setting, participants, &amp; measurements: Two groups were studied at Texas Children's Hospital, Houston, Texas: 150 critically ill children (prospective) and 254 noncritically ill, hospitalized children receiving aminoglycosides (retrospective). SCr was collected for 14 d in the prospective study and 21 d in the retrospective study. Children with known baseline serum creatinine (bSCr) were classified by the pediatric Risk, Injury, Failure, Loss, End-Stage Kidney Disease (pRIFLE) AKI definition using SCr change (pRIFLE<SUB>SCr</SUB>), estimated creatinine clearance (eCCl) change (pRIFLE<SUB>CCl</SUB>), and the Acute Kidney Injury Network (AKIN) definition. In subjects without known bSCr, bSCR was estimated as eCCl = 100 (eCCl<SUB>100</SUB>) and 120 ml/min per 1.73 m<SUP>2</SUP> (eCCl<SUB>120</SUB>), admission SCr (AdmSCr) and lower/upper normative values (NormsMin, NormsMax). The differential impact of each AKI definition interpretation on incidence estimation and severity distribution was evaluated.</P>
<P>Results: pRIFLE<SUB>SCr</SUB> and AKIN led to identical AKI distributions. pRIFLE<SUB>CCl</SUB> resulted in 14.5% (critically ill) and 11% (noncritical) more patients diagnosed with AKI compared to other methods (<I>P</I> 0.05). Different bSCr estimates led to differences in AKI incidence, from 12% (AdmSCr) to 87.8% (NormsMin) (<I>P</I> 0.05) in the critically ill group and from 4.6% (eCCl<SUB>100</SUB>) to 43.1% (NormsMin) (<I>P</I> 0.05) in the noncritical group.</P>
<P>Conclusions: AKI definition variation causes interstudy heterogeneity. AKI definition should be standardized so that results can be compared across studies.</P>
]]></description>
<dc:creator><![CDATA[Zappitelli, M., Parikh, C. R., Akcan-Arikan, A., Washburn, K. K., Moffett, B. S., Goldstein, S. L.]]></dc:creator>
<dc:date>2008-06-27</dc:date>
<dc:identifier>info:doi/10.2215/CJN.05431207</dc:identifier>
<dc:title><![CDATA[Ascertainment and Epidemiology of Acute Kidney Injury Varies with Definition Interpretation]]></dc:title>
<dc:publisher>American Society of Nephrology</dc:publisher>
<prism:number>4</prism:number>
<prism:volume>3</prism:volume>
<prism:endingPage>954</prism:endingPage>
<prism:publicationDate>2008-07-01</prism:publicationDate>
<prism:startingPage>948</prism:startingPage>
<prism:section>Acute Renal Failure</prism:section>
</item>

<item rdf:about="http://cjasn.asnjournals.org/cgi/content/short/3/4/955?rss=1">
<title><![CDATA[Lessons for Successful Study Enrollment from the Veterans Affairs/National Institutes of Health Acute Renal Failure Trial Network Study]]></title>
<link>http://cjasn.asnjournals.org/cgi/content/short/3/4/955?rss=1</link>
<description><![CDATA[
<P>Background and objectives: Design elements of clinical trials can introduce recruitment bias and reduce study efficiency. Trials involving the critically ill may be particularly prone to design-related inefficiencies.</P>
<P>Design, setting, participants, &amp; measurements: Enrollment into the Veterans Affairs/National Institutes of Health Acute Renal Failure Trial Network Study was systematically monitored. Reasons for nonenrollment into this study comparing strategies of renal replacement therapy in critically ill patients with acute kidney injury were categorized as modifiable or nonmodifiable.</P>
<P>Results: 4339 patients were screened; 2744 fulfilled inclusion criteria. Of these, 1034 were ineligible by exclusion criteria. Of the remaining 1710 patients, 1124 (65.7%) enrolled. Impediments to informed consent excluded 21.4% of potentially eligible patients. Delayed identification of potential patients, physician refusal, and involvement in competing trials accounted for 4.4, 2.7, and 2.3% of exclusions. Comfort measures only status, chronic illness, chronic kidney disease, and obesity excluded 11.8, 7.8, 7.6, and 5.9% of potential patients. Modification of an enrollment window reduced the loss of patients from 6.6 to 2.3%.</P>
<P>Conclusions: The Acute Renal Failure Trial Network Study's enrollment efficiency compared favorably with previous intensive care unit intervention trials and supports the representativeness of its enrolled population. Impediments to informed consent highlight the need for nontraditional acquisition methods. Restrictive enrollment windows may hamper recruitment but can be effectively modified. The low rate of physician refusal acknowledges clinical equipoise in the study design. Underlying comorbidities are important design considerations for future trials that involve the critically ill with acute kidney injury.</P>
]]></description>
<dc:creator><![CDATA[Crowley, S. T., Chertow, G. M., Vitale, J., O'Connor, T., Zhang, J., Schein, R. M.H., Choudhury, D., Finkel, K., Vijayan, A., Paganini, E., Palevsky, P. M., for the VA/NIH Acute Renal Failure Trial Network Study Group]]></dc:creator>
<dc:date>2008-06-27</dc:date>
<dc:identifier>info:doi/10.2215/CJN.05621207</dc:identifier>
<dc:title><![CDATA[Lessons for Successful Study Enrollment from the Veterans Affairs/National Institutes of Health Acute Renal Failure Trial Network Study]]></dc:title>
<dc:publisher>American Society of Nephrology</dc:publisher>
<prism:number>4</prism:number>
<prism:volume>3</prism:volume>
<prism:endingPage>961</prism:endingPage>
<prism:publicationDate>2008-07-01</prism:publicationDate>
<prism:startingPage>955</prism:startingPage>
<prism:section>Acute Renal Failure</prism:section>
</item>

<item rdf:about="http://cjasn.asnjournals.org/cgi/content/short/3/4/962?rss=1">
<title><![CDATA[Evaluation and Initial Management of Acute Kidney Injury]]></title>
<link>http://cjasn.asnjournals.org/cgi/content/short/3/4/962?rss=1</link>
<description><![CDATA[
<P>The evaluation and initial management of patients with acute kidney injury (AKI) should include: (1) an assessment of the contributing causes of the kidney injury, (2) an assessment of the clinical course including comorbidities, (3) a careful assessment of volume status, and (4) the institution of appropriate therapeutic measures designed to reverse or prevent worsening of functional or structural kidney abnormalities. The initial assessment of patients with AKI classically includes the differentiation between prerenal, renal, and postrenal causes. The differentiation between so-called "prerenal" and "renal" causes is more difficult, especially because renal hypoperfusion may coexist with any stage of AKI. Using a modified Delphi approach, the multidisciplinary international working group, generated a set of testable research questions. Key questions included the following: Is there a difference in prognosis between volume-responsive and volume-unresponsive AKI? Are there biomarkers whose patterns (dynamic changes) predict the severity and recovery of AKI (maximal stage of AKI, need for RRT, renal recovery, mortality) and guide therapy? What is the best biomarker to assess prospectively whether AKI is volume responsive? What is the best biomarker to assess the optimal volume status in AKI patients? In evaluating the current literature and ongoing studies, it was thought that the answers to the questions posed herein would improve the understanding of AKI, and ultimately patient outcomes.</P>
]]></description>
<dc:creator><![CDATA[Himmelfarb, J., Joannidis, M., Molitoris, B., Schietz, M., Okusa, M. D., Warnock, D., Laghi, F., Goldstein, S. L., Prielipp, R., Parikh, C. R., Pannu, N., Lobo, S. M., Shah, S., D'Intini, V., Kellum, J. A.]]></dc:creator>
<dc:date>2008-06-27</dc:date>
<dc:identifier>info:doi/10.2215/CJN.04971107</dc:identifier>
<dc:title><![CDATA[Evaluation and Initial Management of Acute Kidney Injury]]></dc:title>
<dc:publisher>American Society of Nephrology</dc:publisher>
<prism:number>4</prism:number>
<prism:volume>3</prism:volume>
<prism:endingPage>967</prism:endingPage>
<prism:publicationDate>2008-07-01</prism:publicationDate>
<prism:startingPage>962</prism:startingPage>
<prism:section>Acute Renal Failure</prism:section>
</item>

<item rdf:about="http://cjasn.asnjournals.org/cgi/content/short/3/3/665?rss=1">
<title><![CDATA[Urine NGAL Predicts Severity of Acute Kidney Injury After Cardiac Surgery: A Prospective Study]]></title>
<link>http://cjasn.asnjournals.org/cgi/content/short/3/3/665?rss=1</link>
<description><![CDATA[
<P>Background and objectives: The authors have previously shown that urine neutrophil gelatinase-associated lipocalin (NGAL), measured by a research ELISA, is an early predictive biomarker of acute kidney injury (AKI) after cardiopulmonary bypass (CPB). In this study, whether an NGAL immunoassay developed for a standardized clinical platform (ARCHITECT analyzer&reg;, Abbott Diagnostics Division, Abbott Laboratories, Abbott Park, IL) can predict AKI after CPB was tested.</P>
<P>Design, setting, participants, &amp; measurements: In a pilot study with 136 urine samples (NGAL range, 0.3 to 815 ng/ml) and 6 calibration standards (NGAL range, 0 to 1000 ng/ml), NGAL measurements by research ELISA and by the ARCHITECT&reg; assay were highly correlated (<I>r</I> = 0.99). In a subsequent study, 196 children undergoing CPB were prospectively enrolled and serial urine NGAL measurements obtained by ARCHITECT&reg; assay. The primary outcome was AKI, defined as a &ge;50% increase in serum creatinine.</P>
<P>Results: AKI developed in 99 patients (51%), but the diagnosis using serum creatinine was delayed by 2 to 3 d after CPB. In contrast, mean urine NGAL levels increased 15-fold within 2 h and by 25-fold at 4 and 6 h after CPB. For the 2-h urine NGAL measurement, the area under the curve was 0.95, sensitivity was 0.82, and the specificity was 0.90 for prediction of AKI using a cutoff value of 100 ng/ml. The 2-h urine NGAL levels correlated with severity and duration of AKI, length of stay, dialysis requirement, and death.</P>
<P>Conclusions: Accurate measurements of urine NGAL are obtained using the ARCHITECT&reg; platform. Urine NGAL is an early predictive biomarker of AKI severity after CPB.</P>
]]></description>
<dc:creator><![CDATA[Bennett, M., Dent, C. L., Ma, Q., Dastrala, S., Grenier, F., Workman, R., Syed, H., Ali, S., Barasch, J., Devarajan, P.]]></dc:creator>
<dc:date>2008-04-25</dc:date>
<dc:identifier>info:doi/10.2215/CJN.04010907</dc:identifier>
<dc:title><![CDATA[Urine NGAL Predicts Severity of Acute Kidney Injury After Cardiac Surgery: A Prospective Study]]></dc:title>
<dc:publisher>American Society of Nephrology</dc:publisher>
<prism:number>3</prism:number>
<prism:volume>3</prism:volume>
<prism:endingPage>673</prism:endingPage>
<prism:publicationDate>2008-05-01</prism:publicationDate>
<prism:startingPage>665</prism:startingPage>
<prism:section>Acute Renal Failure</prism:section>
</item>

<item rdf:about="http://cjasn.asnjournals.org/cgi/content/short/3/3/674?rss=1">
<title><![CDATA[Renal Biopsy Findings in Acute Renal Failure in the Cohort of Patients in the Spanish Registry of Glomerulonephritis]]></title>
<link>http://cjasn.asnjournals.org/cgi/content/short/3/3/674?rss=1</link>
<description><![CDATA[
<P>Background and objectives: Renal biopsy in acute renal failure of unknown origin provides irreplaceable information for diagnosis, treatment, and prognosis. This study analyzed the frequency and clinicopathologic correlations of renal native biopsied acute renal failure in Spain during the period 1994 through 2006.</P>
<P>Design, setting, participants, &amp; measurements: Acute renal failure was defined as a rapid deterioration of glomerular filtration rate, with or without oligoanuria or rapidly progressive renal insufficiency, including acute-on-chronic renal failure. Patients who were younger than 15 yr were considered children, those between 15 and 65 yr adults, and those &gt;65 elderly.</P>
<P>Results: Between 1994 and 2006, data on 14,190 native renal biopsies were collected from 112 renal units in Spain. Of these, 16.1% (2281 biopsies) were diagnosed with acute renal failure. The prevalence of the main clinical syndromes was different in the three age groups: Biopsy-confirmed acute renal failure in children was 5.7%, in adults was 12.5%, and in elderly increased significantly to 32.9%. The prevalence of biopsy-confirmed acute renal failure according to cause was as follows: Vasculitis, 23.3%; acute tubulointerstitial nephritis, 11.3%; and crescentic glomerulonephritis types 1 and 2, 10.1%. The prevalence of the different causes differed significantly according to age group.</P>
<P>Conclusions: The Spanish Registry of Glomerulonephritis provides useful information about renal histopathology in biopsy-confirmed acute renal failure. The prevalence of vasculitis and crescentic glomerulonephritis is high, especially in elderly patients. These data obtained from a national large registry highlight the value of renal biopsy in undetermined acute renal failure.</P>
]]></description>
<dc:creator><![CDATA[Lopez-Gomez, J. M., Rivera, F., on behalf of Spanish Registry of Glomerulonephritis]]></dc:creator>
<dc:date>2008-04-25</dc:date>
<dc:identifier>info:doi/10.2215/CJN.04441007</dc:identifier>
<dc:title><![CDATA[Renal Biopsy Findings in Acute Renal Failure in the Cohort of Patients in the Spanish Registry of Glomerulonephritis]]></dc:title>
<dc:publisher>American Society of Nephrology</dc:publisher>
<prism:number>3</prism:number>
<prism:volume>3</prism:volume>
<prism:endingPage>681</prism:endingPage>
<prism:publicationDate>2008-05-01</prism:publicationDate>
<prism:startingPage>674</prism:startingPage>
<prism:section>Acute Renal Failure</prism:section>
</item>

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