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      Calorie intake and patient outcomes in severe acute kidney injury: findings from The Randomized Evaluation of Normal vs. Augmented Level of Replacement Therapy (RENAL) study trial

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          Abstract

          Introduction

          Current practice in the delivery of caloric intake (DCI) in patients with severe acute kidney injury (AKI) receiving renal replacement therapy (RRT) is unknown. We aimed to describe calorie administration in patients enrolled in the Randomized Evaluation of Normal vs. Augmented Level of Replacement Therapy (RENAL) study and to assess the association between DCI and clinical outcomes.

          Methods

          We performed a secondary analysis in 1456 patients from the RENAL trial. We measured the dose and evolution of DCI during treatment and analyzed its association with major clinical outcomes using multivariable logistic regression, Cox proportional hazards models, and time adjusted models.

          Results

          Overall, mean DCI during treatment in ICU was low at only 10.9 ± 9 Kcal/kg/day for non-survivors and 11 ± 9 Kcal/kg/day for survivors. Among patients with a lower DCI (below the median) 334 of 729 (45.8%) had died at 90-days after randomization compared with 316 of 727 (43.3%) patients with a higher DCI (above the median) ( P = 0.34). On multivariable logistic regression analysis, mean DCI carried an odds ratio of 0.95 (95% confidence interval (CI): 0.91-1.00; P = 0.06) per 100 Kcal increase for 90-day mortality. DCI was not associated with significant differences in renal replacement (RRT) free days, mechanical ventilation free days, ICU free days and hospital free days. These findings remained essentially unaltered after time adjusted analysis and Cox proportional hazards modeling.

          Conclusions

          In the RENAL study, mean DCI was low. Within the limits of such low caloric intake, greater DCI was not associated with improved clinical outcomes.

          Trial registration

          ClinicalTrials.gov number, NCT00221013

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          Most cited references26

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          Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.).

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            The relationship between nutritional intake and clinical outcomes in critically ill patients: results of an international multicenter observational study.

            The objective of this study was to examine the relationship between the amount of energy and protein administered and clinical outcomes, and the extent to which pre-morbid nutritional status influenced this relationship. We conducted an observational cohort study of nutrition practices in 167 intensive care units (ICUs) across 21 [corrected] countries. Patient demographics were collected, and the type and amount of nutrition received were recorded daily for a maximum of 12 days. Patients were followed prospectively to determine 60-day mortality and ventilator-free days (VFDs). We used body mass index (BMI, kg/m2) as a marker of nutritional status prior to ICU admission. Regression models were developed to evaluate the relationship between nutrition received and 60-day mortality and VFDs, and to examine how BMI modifies this relationship. Data were collected on 2,772 mechanically ventilated patients who received an average of 1,034 kcal/day and 47 g protein/day. An increase of 1,000 cal per day was associated with reduced mortality [odds ratio for 60-day mortality 0.76; 95% confidence intervals (CI) 0.61-0.95, p = 0.014] and an increased number of VFDs (3.5 VFD, 95% CI 1.2-5.9, p = 0.003). The effect of increased calories associated with lower mortality was observed in patients with a BMI or =35 with no benefit for patients with a BMI 25 to or =35.
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              Permissive underfeeding and intensive insulin therapy in critically ill patients: a randomized controlled trial.

              Nutritional support has been recognized as an essential part of intensive care unit management. However, the appropriate caloric intake for critically ill patients remains ill defined. We examined the effect of permissive underfeeding compared with that of target feeding and of intensive insulin therapy (IIT) compared with that of conventional insulin therapy (CIT) on the outcomes of critically ill patients. This study had a 2 × 2 factorial, randomized, controlled design. Eligible patients were randomly assigned to permissive underfeeding or target feeding groups (caloric goal: 60-70% compared with 90-100% of calculated requirement, respectively) with either IIT or CIT (target blood glucose: 4.4-6.1 compared with 10-11.1 mmol/L, respectively). Twenty-eight-day all-cause mortality was 18.3% in the permissive underfeeding group compared with 23.3% in the target feeding group (relative risk: 0.79; 95% CI: 0.48, 1.29; P = 0.34). Hospital mortality was lower in the permissive underfeeding group than in the target group (30.0% compared with 42.5%; relative risk: 0.71; 95% CI: 0.50, 0.99; P = 0.04). No significant differences in outcomes were observed between the IIT and CIT groups. In critically ill patients, permissive underfeeding may be associated with lower mortality rates than target feeding. This trial was registered at controlled-trials.com as ISRCTN96294863.
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                Author and article information

                Contributors
                Journal
                Crit Care
                Crit Care
                Critical Care
                BioMed Central
                1364-8535
                1466-609X
                2014
                14 March 2014
                : 18
                : 2
                : R45
                Affiliations
                [1 ]Department of Intensive Care, Austin Hospital, Studley Rd, Heidelberg, Melbourne, Victoria 3084, Australia
                [2 ]Nephrology Division, The George Institute for International Health, Level 10, King George V Building, Missenden Road, Camperdown, Sydney, New South Wales 2050, Australia
                [3 ]Department of Intensive Care, Nepean Hospital, PO Box 63, Penrith, Sydney, New South Wales 2715, Australia
                [4 ]Department of Intensive Care, Royal North Shore Hospital, Pacific Highway, St Leonards, Sydney, New South Wales 2065, Australia
                [5 ]Division of Nephrology, The George Institute for International Health, Level 10, King George V Building, Missenden Road, Camperdown, Sydney, New South Wales 2050, Australia
                [6 ]Division of Biostatistics, The George Institute for International Health, Level 10, King George V Building, Missenden Road, Camperdown, Sydney, New South Wales 2050, Australia
                [7 ]Department of Critical care Medicine, Auckland City Hospital, Park Rd, Grafton 1142, Auckland, New Zealand
                [8 ]Department of Cardiothoracic and Vascular Intensive Care, Auckland City Hospital, Park Rd, Grafton 1142, Auckland, New Zealand
                [9 ]Department of Intensive Care, St George Hospital, Gray Street, Kogarah, Sydney, New South Wales 2217, Australia
                [10 ]The George Institute for International Health, Level 10, King George V Building, Missenden Road, Camperdown, Sydney, New South Wales 2050, Australia
                [11 ]Department of Intensive Care, Alfred Hospital, Commercial Rd, Prahran, Melbourne, Victoria 3181, Australia
                Author notes
                The RENAL Study Investigators
                Article
                cc13767
                10.1186/cc13767
                4057152
                24629036
                825c8504-8a48-40a4-a051-8e17bc94f1ae
                Copyright © 2014 Bellomo et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 11 October 2013
                : 24 February 2014
                Categories
                Research

                Emergency medicine & Trauma
                Emergency medicine & Trauma

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