scholarly journals Low resting energy expenditure in middle-aged and elderly hemodialysis patients with poor nutritional status

2006 ◽  
Vol 53 (1,2) ◽  
pp. 34-41 ◽  
Author(s):  
Miho Kogirima ◽  
Katsuhiko Sakaguchi ◽  
Kohsuke Nishino ◽  
Yoko Ichikawa ◽  
Fumie Hiramatsu ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Nutritional Status ◽  
Resting Energy Expenditure ◽  
Hemodialysis Patients ◽  
Middle Aged ◽  
Poor Nutritional Status ◽  
Elderly Hemodialysis Patients ◽  
Resting Energy

scholarly journals Accuracy and Validity of Resting Energy Expenditure Predictive Equations in Middle-Aged Adults

Nutrients ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1635 ◽  
Author(s):  
Francisco Amaro-Gahete ◽  
Lucas Jurado-Fasoli ◽  
Alejandro De-la-O ◽  
Ángel Gutierrez ◽  
Manuel Castillo ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Prediction Accuracy ◽  
Weight Status ◽  
Resting Energy Expenditure ◽  
Normal Weight ◽  
Middle Aged ◽  
Predictive Equations ◽  
Middle Aged Adults ◽  
Resting Energy

Indirect calorimetry (IC) is considered the reference method to determine the resting energy expenditure (REE), but its use in a clinical context is limited. Alternatively, there is a number of REE predictive equations to estimate the REE. However, it has been shown that the available REE predictive equations could either overestimate or underestimate the REE as measured by IC. Moreover, the role of the weight status in the accuracy and validity of the REE predictive equations requires further attention. Therefore, this study aimed to determine the accuracy and validity of REE predictive equations in normal-weight, overweight, and obese sedentary middle-aged adults. A total of 73 sedentary middle-aged adults (53% women, 40–65 years old) participated in the study. We measured REE by indirect calorimetry, strictly following the standard procedures, and we compared it with the values obtained from 33 predictive equations. The most accurate predictive equations in middle-aged sedentary adults were: (i) the equation of FAO/WHO/UNU in normal-weight individuals (50.0% of prediction accuracy), (ii) the equation of Livingston in overweight individuals (46.9% of prediction accuracy), and (iii) the equation of Owen in individuals with obesity (52.9% of prediction accuracy). Our study shows that the weight status plays an important role in the accuracy and validity of different REE predictive equations in middle-aged adults.

scholarly journals P566 Impact of induction therapy and clinical remission on resting energy expenditure in children with Crohn’s Disease

2021 ◽  
Vol 15 (Supplement_1) ◽  
pp. S526-S527
Author(s):  
G Kornitzer ◽  
J Breton ◽  
P Poinsot ◽  
D Godin ◽  
K Grzywacz ◽  
...  
Keyword(s):  
Crohn’S Disease ◽  
Energy Expenditure ◽  
Nutritional Status ◽  
Metabolic Rate ◽  
Induction Therapy ◽  
Basal Metabolic Rate ◽  
Resting Energy Expenditure ◽  
Biochemical Response ◽  
Resting Energy

Abstract Background Crohn’s Disease (CD) is known to affect nutritional status and linear growth in affected children. Patients with CD often have decreased oral intake, malabsorption, and increased intestinal losses. Basal metabolic rate may be affected by chronic inflammation and states of anorexia or malnutrition in these patients. In this study, our aim was to compare the effect of different induction regimens in children with CD on resting energy expenditure (REE) and nutritional status. Methods We recruited patients under 18 years old with new-onset CD or relapse, diagnosed at our centre over a three-year period from July 2016. Patients included had one of the following induction regimens: corticosteroids, exclusive enteral nutrition (EEN), or anti-TNF therapy (Infliximab). REE was assessed at baseline and 6 to 8 weeks after induction. REE (kcal/d) was measured using an open-circuit indirect calorimeter with computerized metabolic cart (Vmax Encore, Vyaire Medical). Secondary outcomes included anthropometrics and clinical and biochemical response, defined by improved wPCDAI and negative inflammatory markers and fecal calprotectin, respectively. Results 17 patients were enrolled and 8 patients excluded (loss to follow-up (n=3), therapeutic change (n=3), revised diagnosis (n=2)). 9 patients completed REE assessments (44.4% anti-TNF (n=4), 44.4% EEN (n=4), 11.1% corticosteroid (n=1)). 3 out of 4 patients on anti-TNF had clinical and biochemical response, while only 1 of 4 patients responded to EEN. For patients in the EEN group, mean BMI change was +0.9 (SD 0.4), compared to +0.4 (SD 1.1) in the anti-TNF group. There was no difference in REE change between treatment groups. Data was then pooled based on response to treatment. 100% of non-responders had increased per cent of predicted REE (REEPP), while 75% of responders decreased their REEPP. Mean REEPP change in non-responders was +12.5% (1, 22) vs. -4.3% (-10, 6) in responders. Figure I. Relationship between REE and weight at baseline and on follow-up in non-responders. Figure II. Relationship between REE and weight at baseline and on follow-up in responders. Conclusion Our results suggest that induction regimen did not impact REE change on follow-up. In our patients, clinical response to therapy was related to a tendency to decrease REE. Patients who did not achieve remission after induction therapy increased their REE. We suspect that this increase in basal metabolic rate is related to persistent inflammation despite improved nutritional status. Further studies with larger patient populations are needed to infer significance and compare subgroups based on body composition.

scholarly journals Increased energy expenditure in hemodialysis patients.

1996 ◽  
Vol 7 (12) ◽  
pp. 2646-2653
Author(s):  
T A Ikizler ◽  
R L Wingard ◽  
M Sun ◽  
J Harvell ◽  
R A Parker ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Respiratory Quotient ◽  
Resting Energy Expenditure ◽  
Hemodialysis Patients ◽  
Chronic Hemodialysis ◽  
Multiple Factors ◽  
Control Subjects ◽  
Protein Calorie Malnutrition ◽  
Resting Energy

Malnutrition is prevalent in chronic hemodialysis patients and is related to multiple factors; the hemodialysis procedure itself has been suggested as a catabolic factor. To examine the possible role of hemodialysis on energy metabolism, resting energy expenditure and respiratory quotient in ten chronic hemodialysis patients was measured in this study, using a whole-room indirect calorimeter. Measurements were done continuously: for 2 h before hemodialysis, during 4 h of hemodialysis, for 2 h after hemodialysis, and separately on a nondialysis day after 12 h of fasting. Age-, sex-, and body mass index-matched healthy volunteers were used as control subjects. Chronic hemodialysis patients have a significantly higher resting energy expenditure on a nondialysis day (1.18 +/- 0.15 kcal/min; P < 0.01) as compared with control subjects (1.10 +/- 0.16 kcal/ min). Resting energy expenditure further increased significantly during the hemodialysis procedure (1.32 +/- 0.18 kcal/min, averaged over the 4 h of hemodialysis; P < 0.01 versus predialysis) and was also significantly higher compared with the postdialysis period and nondialysis day resting energy expenditure (P < 0.001 for both). This effect was most pronounced during the first (1.37 +/- 0.19 kcal/min) and second (1.33 +/- 0.18 kcal/min) hours of hemodialysis (P < 0.001 for both). Respiratory quotient was not significantly affected by hemodialysis. It was concluded that chronic hemodialysis patients have higher than normal resting energy expenditure levels, which is further increased during hemodialysis. This process may significantly potentiate the protein-calorie malnutrition seen in this patient population.

Determinants of Resting Energy Expenditure in Hemodialysis Patients, and Comparison With Healthy Subjects

2009 ◽  
Vol 19 (4) ◽  
pp. 283-290 ◽  
Author(s):  
Maria Skouroliakou ◽  
Maria Stathopoulou ◽  
Aikaterini Koulouri ◽  
Ifigenia Giannopoulou ◽  
Dimitrios Stamatiades ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Healthy Subjects ◽  
Resting Energy Expenditure ◽  
Hemodialysis Patients ◽  
Resting Energy
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