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      Hypoalbuminemia and acute kidney injury: a meta-analysis of observational clinical studies

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          Abstract

          Purpose

          To test the hypothesis that hypoalbuminemia is independently associated with increased risk of acute kidney injury (AKI).

          Methods

          A meta-analysis was performed of observational clinical studies evaluating the relationship between serum albumin level and the occurrence of AKI by multivariate methods. Additionally, the impact was assessed of lower serum albumin on mortality in patients who developed AKI. Eligible studies were sought by multiple methods, and adjusted odds ratios (OR) were quantitatively combined using a random effects model.

          Results

          Seventeen clinical studies with 3,917 total patients were included: 11 studies (6 in surgical or intensive care unit patients and 5 in other hospital settings) evaluating the influence of serum albumin on AKI incidence and 6 studies describing the relationship between serum albumin and mortality among patients who had developed AKI. Lower serum albumin was an independent predictor both of AKI and of death after AKI development. With each 10 g L −1 serum albumin decrement, the odds of AKI increased by 134%. The pooled OR for AKI was 2.34 with a 95% confidence interval (CI) of 1.74–3.14. Among patients who had developed AKI, the odds of death rose 147% (pooled OR 2.47, 95% CI 1.51–4.05) with each 10 g L −1 serum albumin decrement.

          Conclusions

          This meta-analysis provides evidence that hypoalbuminemia is a significant independent predictor both of AKI and of death following AKI development. Serum albumin determinations may be of utility in identifying patients at increased risk for AKI or for death after AKI. Controlled studies are warranted to assess interventions aimed at correcting hypoalbuminemia.

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          Most cited references47

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          Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury

          Introduction Acute kidney injury (AKI) is a complex disorder for which currently there is no accepted definition. Having a uniform standard for diagnosing and classifying AKI would enhance our ability to manage these patients. Future clinical and translational research in AKI will require collaborative networks of investigators drawn from various disciplines, dissemination of information via multidisciplinary joint conferences and publications, and improved translation of knowledge from pre-clinical research. We describe an initiative to develop uniform standards for defining and classifying AKI and to establish a forum for multidisciplinary interaction to improve care for patients with or at risk for AKI. Methods Members representing key societies in critical care and nephrology along with additional experts in adult and pediatric AKI participated in a two day conference in Amsterdam, The Netherlands, in September 2005 and were assigned to one of three workgroups. Each group's discussions formed the basis for draft recommendations that were later refined and improved during discussion with the larger group. Dissenting opinions were also noted. The final draft recommendations were circulated to all participants and subsequently agreed upon as the consensus recommendations for this report. Participating societies endorsed the recommendations and agreed to help disseminate the results. Results The term AKI is proposed to represent the entire spectrum of acute renal failure. Diagnostic criteria for AKI are proposed based on acute alterations in serum creatinine or urine output. A staging system for AKI which reflects quantitative changes in serum creatinine and urine output has been developed. Conclusion We describe the formation of a multidisciplinary collaborative network focused on AKI. We have proposed uniform standards for diagnosing and classifying AKI which will need to be validated in future studies. The Acute Kidney Injury Network offers a mechanism for proceeding with efforts to improve patient outcomes.
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            A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

            Serum creatinine concentration is widely used as an index of renal function, but this concentration is affected by factors other than glomerular filtration rate (GFR). To develop an equation to predict GFR from serum creatinine concentration and other factors. Cross-sectional study of GFR, creatinine clearance, serum creatinine concentration, and demographic and clinical characteristics in patients with chronic renal disease. 1628 patients enrolled in the baseline period of the Modification of Diet in Renal Disease (MDRD) Study, of whom 1070 were randomly selected as the training sample; the remaining 558 patients constituted the validation sample. The prediction equation was developed by stepwise regression applied to the training sample. The equation was then tested and compared with other prediction equations in the validation sample. To simplify prediction of GFR, the equation included only demographic and serum variables. Independent factors associated with a lower GFR included a higher serum creatinine concentration, older age, female sex, nonblack ethnicity, higher serum urea nitrogen levels, and lower serum albumin levels (P < 0.001 for all factors). The multiple regression model explained 90.3% of the variance in the logarithm of GFR in the validation sample. Measured creatinine clearance overestimated GFR by 19%, and creatinine clearance predicted by the Cockcroft-Gault formula overestimated GFR by 16%. After adjustment for this overestimation, the percentage of variance of the logarithm of GFR predicted by measured creatinine clearance or the Cockcroft-Gault formula was 86.6% and 84.2%, respectively. The equation developed from the MDRD Study provided a more accurate estimate of GFR in our study group than measured creatinine clearance or other commonly used equations.
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              Acute renal failure – definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group

              Introduction There is no consensus definition of acute renal failure (ARF) in critically ill patients. More than 30 different definitions have been used in the literature, creating much confusion and making comparisons difficult. Similarly, strong debate exists on the validity and clinical relevance of animal models of ARF; on choices of fluid management and of end-points for trials of new interventions in this field; and on how information technology can be used to assist this process. Accordingly, we sought to review the available evidence, make recommendations and delineate key questions for future studies. Methods We undertook a systematic review of the literature using Medline and PubMed searches. We determined a list of key questions and convened a 2-day consensus conference to develop summary statements via a series of alternating breakout and plenary sessions. In these sessions, we identified supporting evidence and generated recommendations and/or directions for future research. Results We found sufficient consensus on 47 questions to allow the development of recommendations. Importantly, we were able to develop a consensus definition for ARF. In some cases it was also possible to issue useful consensus recommendations for future investigations. We present a summary of the findings. (Full versions of the six workgroups' findings are available on the internet at ) Conclusion Despite limited data, broad areas of consensus exist for the physiological and clinical principles needed to guide the development of consensus recommendations for defining ARF, selection of animal models, methods of monitoring fluid therapy, choice of physiological and clinical end-points for trials, and the possible role of information technology.
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                Author and article information

                Contributors
                +39-471-908190 , +39-471-908303 , christian.wiedermann@asbz.it
                Journal
                Intensive Care Med
                Intensive Care Med
                Intensive Care Medicine
                Springer-Verlag (Berlin/Heidelberg )
                0342-4642
                1432-1238
                2 June 2010
                2 June 2010
                2010
                : 36
                : 10
                : 1657-1665
                Affiliations
                [1 ]GRID grid.413733.1, Division of Internal Medicine, , Central Hospital of Bolzano, ; Lorenz Böhler Street 5, 39100 Bolzano, Italy
                [2 ]GRID grid.7520.0, ISNI 0000000121963349, Division of Applied Psychology and Research Methodology, Institute of Psychology, , University of Klagenfurt, ; Klagenfurt, Austria
                [3 ]GRID grid.5361.1, ISNI 0000000088532677, Department of Internal Medicine I, , Medical University of Innsbruck, ; Innsbruck, Austria
                Article
                1928
                10.1007/s00134-010-1928-z
                7728653
                20517593
                9300528b-f8db-4712-84c3-4e1dbb579e1f
                © Copyright jointly held by Springer and ESICM 2010

                This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 14 December 2009
                : 3 May 2010
                Categories
                Systematic Review
                Custom metadata
                © Copyright jointly held by Springer and ESICM 2010

                Emergency medicine & Trauma
                hypoalbuminemia,serum albumin,acute kidney injury,mortality,risk factors,meta-analysis

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