The Experts below are selected from a list of 15612 Experts worldwide ranked by ideXlab platform
Jan Wernerman - One of the best experts on this subject based on the ideXlab platform.
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measuring energy expenditure in the intensive care unit a comparison of Indirect Calorimetry by e scovx and quark rmr with deltatrac ii in mechanically ventilated critically ill patients
Critical Care, 2016Co-Authors: Martin Sundstrom Rehal, Erik Fiskaare, Inga Tjader, Ake Norberg, Olav Rooyackers, Jan WernermanAbstract:Background Indirect Calorimetry allows the determination of energy expenditure in critically ill patients by measuring oxygen consumption (VO2) and carbon dioxide production (VCO2). Recent studies have demonstrated variable performance of “breath-by-breath” instruments compared to mixing chamber technology. The aim of this study was to validate two modern devices (E-sCOVX and Quark RMR) against a reference method (Deltatrac II).
Peter J M Weijs - One of the best experts on this subject based on the ideXlab platform.
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optimal protein and energy nutrition decreases mortality in mechanically ventilated critically ill patients a prospective observational cohort study
Journal of Parenteral and Enteral Nutrition, 2012Co-Authors: Peter J M Weijs, Robert Strack J M Van Schijndel, Sandra N Stapel, Sabine D W De Groot, Ronald H Driessen, Evelien De Jong, Armand R J Girbes, Albertus BeishuizenAbstract:Background: Optimal nutrition for patients in the intensive care unit has been proposed to be the provision of energy as determined by Indirect Calorimetry and the provision of protein of at least 1.2 g/kg. Methods: Prospective observational cohort study in a mixed medical-surgical intensive care unit in an academic hospital. In total, 886 consecutive mechanically ventilated patients were included. Nutrition was guided by Indirect Calorimetry and protein provision of at least 1.2 g/kg. Cumulative intakes were calculated for the period of mechanical ventilation. Cox regression was used to analyze the effect of protein + energy target achieved or energy target achieved versus neither target achieved on 28-day mortality, with adjustments for sex, age, body mass index, Acute Physiology and Chronic Health Evaluation II, diagnosis, and hyperglycemic index. Results: Patients’ mean age was 63 ± 16 years; body mass index, 26 ± 6; and Acute Physiology and Chronic Health Evaluation II, 23 ± 8. For neither target, en...
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validation of predictive equations for resting energy expenditure in obese adolescents
The American Journal of Clinical Nutrition, 2010Co-Authors: Geesje H Hofsteenge, Mai J M Chinapaw, Henriette Delemarrevan A De Waal, Peter J M WeijsAbstract:Background: When the resting energy expenditure (REE) of overweight and obese adolescents cannot be measured by Indirect Calorimetry, it has to be predicted with an equation. Objective: The aim of this study was to examine the validity of published equations for REE compared with Indirect Calorimetry in overweight and obese adolescents. Design: Predictive equations based on weight, height, sex, age, fatfree mass (FFM), and fat mass were compared with measured REE. REE was measured by Indirect Calorimetry, and body composition was measured by dual-energy X-ray absorptiometry. The accuracy of the REE equations was evaluated on the basis of the percentage of adolescents predicted within 10% of REE measured, the mean percentage difference between predicted and measured values (bias), and the root mean squared prediction error (RMSE). Results: Forty-three predictive equations (of which 12 were based on FFM) were included. Validation was based on 70 girls and 51 boys with a mean age of 14.5 y and a mean (6SD) body mass index SD score of 2.93 6 0.45. The percentage of adolescents with accurate predictions ranged from 74% to 12% depending on the equation used. The most accurate and precise equation for these adolescents was the Molnar equation (accurate predictions: 74%; bias: –1.2%; RMSE: 174 kcal/d). The often-used Schofield-weight equation for age 10–18 y was not accurate (accurate predictions: 50%; bias: +10.7%; RMSE: 276 kcal/d). Conclusions: Indirect Calorimetry remains the method of choice for REE in overweight and obese adolescents. However, the sex-specific Molnar REE prediction equation appears to be the most accurate for overweight and obese adolescents aged 12–18 y. This trial was registered at www.trialregister.nl with the Netherlands Trial Register as ISRCTN27626398.
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validation of predictive equations for resting energy expenditure in adult outpatients and inpatients
Clinical Nutrition, 2008Co-Authors: Peter J M Weijs, H M Kruizenga, Aimee E Van Dijk, Barbara S Van Der Meij, Jacqueline A E Langius, Dirk L Knol, Robert Strack J M Van Schijndel, Marian A E Van Bokhorstde Van Der SchuerenAbstract:Summary Background & aims When individual energy requirements of adult patients cannot be measured by Indirect Calorimetry, they have to be predicted with an equation. The aim of this study was to analyze which resting energy expenditure (REE) predictive equation was the best alternative to Indirect Calorimetry in adult patients. Methods Predictive equations were included when based on weight, height, gender and/or age. REE was measured with Indirect Calorimetry. The mean squared prediction error was used to evaluate how well the equations fitted the REE measurement. Results Eighteen predictive equations were included. Indirect Calorimetry data were available for 48 outpatients and 45 inpatients. Also a subgroup of 42 underweight patients (BMI Conclusions The REE of adult outpatients, inpatients and underweight patients can best be estimated with the FAO/WHO/UNU equation including weight and height, when Indirect Calorimetry is not available.
Martin Sundstrom Rehal - One of the best experts on this subject based on the ideXlab platform.
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measuring energy expenditure in the intensive care unit a comparison of Indirect Calorimetry by e scovx and quark rmr with deltatrac ii in mechanically ventilated critically ill patients
Critical Care, 2016Co-Authors: Martin Sundstrom Rehal, Erik Fiskaare, Inga Tjader, Ake Norberg, Olav Rooyackers, Jan WernermanAbstract:Background Indirect Calorimetry allows the determination of energy expenditure in critically ill patients by measuring oxygen consumption (VO2) and carbon dioxide production (VCO2). Recent studies have demonstrated variable performance of “breath-by-breath” instruments compared to mixing chamber technology. The aim of this study was to validate two modern devices (E-sCOVX and Quark RMR) against a reference method (Deltatrac II).
Joseph B. Williams - One of the best experts on this subject based on the ideXlab platform.
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validation of the doubly labeled water method under low and high humidity to estimate metabolic rate and water flux in a tropical snake boiga irregularis
Journal of Applied Physiology, 2003Co-Authors: Nancy L Anderson, Thomas E Hetherington, Joseph B. WilliamsAbstract:This study uses Indirect Calorimetry to assess the effects of humidity on the accuracy of the doubly labeled water (DLW) technique to predict metabolic rate and water flux in brown treesnakes (Boig...
Pierre Singer - One of the best experts on this subject based on the ideXlab platform.
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resting energy expenditure calorie and protein consumption in critically ill patients a retrospective cohort study
Critical Care, 2016Co-Authors: Oren Zusman, Miriam Theilla, Jonathan Cohen, Ilya Kagan, Itai Bendavid, Pierre SingerAbstract:Intense debate exists regarding the optimal energy and protein intake for intensive care unit (ICU) patients. However, most studies use predictive equations, demonstrated to be inaccurate to target energy intake. We sought to examine the outcome of a large cohort of ICU patients in relation to the percent of administered calories divided by resting energy expenditure (% AdCal/REE) obtained by Indirect Calorimetry (IC) and to protein intake. Included patients were hospitalized from 2003 to 2015 at a 16-bed ICU at a university affiliated, tertiary care hospital, and had IC measurement to assess caloric targets. Data were drawn from a computerized system and included the % AdCal/REE and protein intake and other variables. A Cox proportional hazards model for 60-day mortality was used, with the % AdCal/REE modeled to accommodate non-linearity. Length of stay (LOS) and length of ventilation (LOV) were also assessed. A total of 1171 patients were included. The % AdCal/REE had a significant non-linear (p 70 % was associated with an increased LOS and LOV. The findings of this study suggest that both underfeeding and overfeeding appear to be harmful to critically ill patients, such that achieving an Adcal/REE of 70 % had a survival advantage. A higher caloric intake may also be associated with harm in the form of increased LOS and LOV. The optimal way to define caloric goals therefore requires an exact estimate, which is ideally performed using Indirect Calorimetry. These findings may provide a basis for future randomized controlled trials comparing specific nutritional regimens based on Indirect Calorimetry measurements.