Estimating Basal Energy Expenditure in Liver Transplant Recipients: The Value of the Harris-Benedict Equation

Pinto, Andrea Troller; Chedid, Marcio; Guerra, Léa Teresinha; Álvares‐da‐Silva, Mário Reis; Araújo, Alexandre de; Guimaraes, Luciano S.P.; Leipnitz, Ian; Chedid, Aljamir Duarte; Kruel, Cléber Rosito Pinto; Grezzana-Filho, T.J.M.; Kruel, Cleber D.P.

doi:10.1590/0102-6720201600030013

Cited by 8 publications

(8 citation statements)

References 19 publications

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“…In our study, the average REE calculated by IC in cirrhotic patients with HCC was 1643 ± 364 calories and that of cirrhotics without HCC was 1526 ± 277 calories ( P = 0.064). These results are similar to those found by Segadilha et al [ 45 ], where REE was 1568 ± 374 calories in a population of 97 elderly cirrhotic patients hospitalized in Rio de Janeiro, and similar to those found by Pinto et al [ 44 ], of 1534 ± 300 calories, who studied a population of 45 cirrhotic patients listed for liver transplantation, which corroborates the expectation of correct caloric prediction by the method used[ 44 ].…”

Section: Discussionsupporting

confidence: 91%

“…Our REE findings, determined by BIA, in cirrhotics with HCC were 1529 ± 501 calories and 1660 ± 385 calories in those without HCC ( P = 0.136). These values differ from those of Pinto et al [ 44 ], in their study with 53 cirrhotic patients with HCC in the liver pre-transplant, who found the average REE calculated by the BIA was 1817 calories, while that calculated by IC was 1651 calories, similar to our findings.…”

Section: Discussioncontrasting

confidence: 67%

“…Considered as the gold standard for measuring REE, IC is a safe and non-invasive method, capable of determining nutritional needs through gas exchange[ 11 , 44 , 45 ].…”

Section: Discussionmentioning

confidence: 99%

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Resting energy expenditure in cirrhotic patients with and without hepatocellular carcinoma

Henz¹,

Marroni²,

Silva³

et al. 2021

WJGPT

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BACKGROUND The diagnosis of malnutrition in patients with independent hepatocellular carcinoma (HCC) varies from 20% to 50%, is related to important complications and has a direct impact on the prognosis. Determination of the resting energy expenditure (REE) has become an important parameter in this population, as it allows therapeutic adjustments to recover their nutritional status. The REE in cirrhosis, with and without HCC, is not clearly defined, and requires the identification and definition of the best nutritional approach. AIM To evaluate the REE of patients with cirrhosis, with and without HCC. METHODS This is a prospective observational study evaluating the REE of 118 patients, 33 with cirrhosis and hepatocellular carcinoma and a control group of 85 patients with cirrhosis without HCC, using indirect calorimetry (IC), bioimpedance, and predictive formulas. RESULTS The REE determined by IC in cirrhotic patients with HCC was 1643 ± 364 and in those without HCC was 1526 ± 277 ( P = 0.064). The REE value as assessed by bioimpedance was 1529 ± 501 for those with HCC and 1660 ± 385 for those without HCC ( P = 0.136). When comparing the values of REE determined by IC and predictive formulas in cirrhotics with HCC, it was observed that only the formulas of the Food and Agriculture Organization (FAO)/World Health Organization (WHO) (1985) and Cunningham (1980) presented values similar to those determined by IC. When comparing the REE values determined by IC and predictive formulas in cirrhotics without HCC, it was observed that the formulas of Schofield (1985), FAO/WHO (1985), WHO (2000), Institute of Medicine (IOM) (2005) and Katch and McArdie (1996) presented values similar to those determined by IC. CONCLUSION The FAO/WHO formula (1985) could be used for cirrhotic patients with or without HCC; as it is the one with the values closest to those obtained by IC in these cirrhotic patients.

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Section: Discussionsupporting

confidence: 91%

Section: Discussioncontrasting

confidence: 67%

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Resting energy expenditure in cirrhotic patients with and without hepatocellular carcinoma

Henz¹,

Marroni²,

Silva³

et al. 2021

WJGPT

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“…The amount of energy expenditure is largely affected by: lean body mass, cell mass, and muscle mass, which are the basis for the determination of RMR using the BIA method. In a study by Pinto et al among patients after liver transplantation, the average value was 1584 ±377 kcal/day and was higher by an average of 50 kcal from the result obtained by indirect calorimetry: 1534 ±300 kcal/day [16]. In the performed study, the average preoperative value for the energy demand determined by the BIA method was 1515 ±193 kcal/day.…”

Section: Discussionmentioning

confidence: 83%

Assessment of resting energy demand and body composition in oncological patients undergoing partial resections of the liver

Ukleja¹,

Andrzejewska²,

Skronski³

et al. 2019

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Introduction The metabolism of the body is a complicated process. The most important organ of the organism that affects the intensity of changes is the liver. An effective treatment method of primary and metastatic tumours is a partial resection of the organ. The analysis of changes in the body composition of patients undergoing this type of treatment allows identification of problems coexisting with the underlying disease. Aim To evaluate changes in the parameters of body composition and the amount of resting metabolism. Material and methods The study group consisted of 87 patients who underwent resection of changes in the liver or thermoablation of focal lesions during hospitalisation. Results Analysis of the data showed that the surgical intervention contributes to a statistically significant ( p < 0.05) decrease in the value of the phase angle. A significant increase was noted within the extra cellular water content. The amount of resting metabolism in the postoperative period did not differ significantly; however, there was an upward trend in women and a downward trend in men. Conclusions Surgical resection of lesions aimed at extending the survival of patients are performed more and more often, while the consequences of these operations are not sufficiently known. The adverse effect of resection treatments on body composition parameters, mainly imaged by decreasing the phase angle value, should be minimised. Effects on metabolism remain ambiguous because no significant changes have been demonstrated in the postoperative period.

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“…One of the main objectives of determining body composition is to estimate the amount of body fat, related to the presence of systemic diseases, morbidity and mortality 17 , 22 . It should be emphasized that the simple measurement of body mass is not able to identify the lack or excess of body components (fat mass, muscle mass, water, and bone mass) 2 .…”

Section: Discussionmentioning

confidence: 99%

Trunk Body Mass Index: A New Reference for the Assessment of Body Mass Distribution

Takesian¹,

Santo²,

Gadducci³

et al. 2018

ABCD, arq. bras. cir. dig.

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Background: Body mass index (BMI) has some limitations for nutritional diagnosis since it does not represent an accurate measure of body fat and it is unable to identify predominant fat distribution. Aim: To develop a BMI based on the ratio of trunk mass and height. Methods: Fifty-seven patients in preoperative evaluation to bariatric surgery were evaluated. The preoperative anthropometric evaluation assessed weight, height and BMI. The body composition was evaluated by bioimpedance, obtaining the trunk fat free mass and fat mass, and trunk height. Trunk BMI (tBMI) was calculated by the sum of the measurements of the trunk fat free mass (tFFM) and trunk fat mass (tFM) in kg, divided by the trunk height squared (m2)). The calculation of the trunk fat BMI (tfBMI) was calculated by tFM, in kg, divided by the trunk height squared (m2)). For the correction and adjustment of the tBMI and tfBMI, it was calculated the relation between trunk extension and height, multiplying by the obtained indexes. Results: The mean data was: weight 125.3±19.5 kg, height 1.63±0.1 m, BMI was 47±5 kg/m2) and trunk height was 0.52±0,1 m, tFFM was 29.05±4,8 kg, tFM was 27.2±3.7 kg, trunk mass index was 66.6±10.3 kg/m², and trunk fat was 32.3±5.8 kg/m². In 93% of the patients there was an increase in obesity class using the tBMI. In patients with grade III obesity the tBMI reclassified to super obesity in 72% of patients and to super-super obesity in 24% of the patients. Conclusion: The trunk BMI is simple and allows a new reference for the evaluation of the body mass distribution, and therefore a new reclassification of the obesity class, evidencing the severity of obesity in a more objectively way.

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Estimating Basal Energy Expenditure in Liver Transplant Recipients: The Value of the Harris-Benedict Equation

Cited by 8 publications

References 19 publications

Resting energy expenditure in cirrhotic patients with and without hepatocellular carcinoma

Resting energy expenditure in cirrhotic patients with and without hepatocellular carcinoma

Assessment of resting energy demand and body composition in oncological patients undergoing partial resections of the liver

Trunk Body Mass Index: A New Reference for the Assessment of Body Mass Distribution

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