Prediction of resting energy needs in older men with heart failure

Obisesan, Thomas O.; Toth, MJ; Poehlman, E. T.

doi:10.1038/sj.ejcn.1600462

Cited by 12 publications

(6 citation statements)

References 11 publications

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“…Similarly, in our study, predicted equations derived from the healthy subjects underestimated the REE of subjects with disease. This ®nding is compatible with the observation that the REE is raised in subjects with chronic disease such as COPD and heart failure (Schols et al, 1991;Obisesan et al, 1997). Our ®ndings highlight the fact that BMR prediction equations derived from healthy subjects may not be applicable to the patient population, an observation that is of relevance when estimating energy requirements in the clinical setting.…”

Section: Discussionsupporting

confidence: 87%

Validation of prediction equations for basal metabolic rate in Chinese subjects

et al. 2000

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Objectives: To examine the validity of existing prediction equations for basal metabolic rate (BMR) and two generated regression equations in healthy Chinese subjects and patients with chronic diseases. Subjects: One-hundred and thirty-four healthy Chinese volunteers of aged 16 ± 88 among staff working in Shatin Hospital and their relatives, and 30 elderly patients with heart disease, stroke and chronic obstructive airway disease (COAD) were recruited. Interventions: Height, weight, biceps and triceps skinfold thickness, body fat percentage, and BMR were measured in the healthy subjects and patients. Two regression equations were derived from 70 healthy Chinese subjects. Three existing equations (WHO, Liu and Jia equations) and two derived equations were then crossvalidated in 64 subjects and 30 patients. Results: For the healthy Chinese subjects, as well as patients, the BMR calculated by Liu was the closest to the measured BMR among all the equations, although there was slight underestimation for patients. Conclusion: This study con®rms that the Liu equation is the most appropriate for predicting BMR in healthy Chinese subjects, but it underestimates the BMR in those with chronic diseases. Fat-free mass is the best predictor of measured BMR. Sponsorship: Unrestricted research grant in nutrition from the Bristol-Myers Squibb Foundation. Descriptors: basal metabolic rate; prediction equation; Chinese

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Section: Discussionsupporting

confidence: 87%

Validation of prediction equations for basal metabolic rate in Chinese subjects

et al. 2000

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“…However, although BMR is the major contribution of TEE, energy expenditure in physical activity is the most variable component of TEE, and the mean values of PAL found in the literature does not consider interindividual differences in physical activity. Moreover, since validation was carried out in healthy subjects, it is possible that the questionnaire may not be applicable in subjects with disease, since there is a suggestion that BMR may be elevated in heart failure and chronic obstructive pulmonary disease (Schols et al, 1991;Obisesan et al, 1997). The value of 60 kcal/min used for an intensity code of 1.0 may be higher.…”

Section: Discussionmentioning

confidence: 95%

Assessment of total energy expenditure in a Chinese population by a physical activity questionnaire: examination of validity

Liu

Woo

Tang

et al. 2001

International Journal of Food Sciences and Nutrition

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A physical activity questionnaire from which total daily energy expenditure (TEE) could be estimated was developed for adult Hong Kong Chinese subjects, and its reliability and validity examined. The questionnaire was based on questionnaires used in Caucasians, and adapted for local lifestyle after focus group meetings involving subjects of all age groups. The questionnaire was administered to 94 subjects, consisting of healthy adults, the elderly, and two patient groups (those with renal disease on continuous ambulatory peritoneal dialysis and those with cancer). Seventy-one subjects were reinterviewed within 14 days to test reliability. Validity was examined in 31 normal subjects by measuring the basal metabolic rate (BMR) by indirect calorimetry and multiplying by the physical activity level (PAL) obtained from published studies using the doubly labelled water method and also from FAO/WHO/UNU to obtain the TEE. The intraclass correlation coefficient of reliability rages from 0.7 to 0.8 for all subject groups. The mean estimated TEE from the questionnaire was not significantly different from the mean value derived from measured BMR x PAL. The mean bias ranged from an underestimation of 27 kcal to overestimation of 215 kcal. However, the limits of variability were wide. Age was inversely related to the energy expended for occupational activities, but was positively associated with energy expended in leisure activities. Women spent less energy on occupational and exercise activities, and more on caretaking activities. Those with disease were also less likely to participate in caretaking activities. We conclude that this questionnaire may be a useful tool for future studies where energy expenditure needs to be estimated in various settings in the Hong Kong Chinese population.

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“…In most published reports that studied REE in patients with chronic diseases in the absence of acute event with only mild to moderate degrees of inflammation, REE was found to be similar to that of healthy elderly people when adjusted for FFM [10,12,40,41]. These results may be explained by the more pronounced decrease in FFM in these patients with inflammation and malnutrition.…”

Section: Discussionmentioning

confidence: 84%

“…Data on energy requirements of old and/or malnourished acutely ill patients are scarce. More often, studies refer to chronic diseases [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Energy Expenditure in Older People Hospitalized for an Acute Episode

et al. 2019

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Weight loss and worsening of nutritional state is a frequent downfall of acute hospitalization in older people. It is usually accepted that acute inflammation is responsible for hypercatabolism. However, several studies suggest, on the contrary, a reduction in resting energy expenditure (REE). This study aimed to obtain a reliable measure of REE and total energy expenditure (TEE) in older patients hospitalized for an acute episode in order to better assess patients’ energy requirements and help understand the mechanisms of weight loss in this situation. Nineteen hospitalized older patients (mean age 83 years) with C-reactive protein (CRP) level >20mg/L were recruited. REE and TEE were measured using gold standard methods of indirect calorimetry and doubly labeled water (DLW), respectively. REE was then compared to data from a previous study on aged volunteers from nursing homes who were free of an acute stressor event. Energy requirements measured by DLW were confirmed at 1.3 × REE. Energy intake covered the needs but did not prevent weight loss in these patients. TEE was not increased in hospitalized patients and was not influenced by inflammation, while the relationship between REE and inflammation was uncertain. Our results suggest that lean mass remains the major determinant of REE in hospitalized older people and that weight loss may not be explained solely by a state of hypercatabolism.

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Prediction of resting energy needs in older men with heart failure

Cited by 12 publications

References 11 publications

Validation of prediction equations for basal metabolic rate in Chinese subjects

Validation of prediction equations for basal metabolic rate in Chinese subjects

Assessment of total energy expenditure in a Chinese population by a physical activity questionnaire: examination of validity

Energy Expenditure in Older People Hospitalized for an Acute Episode

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