Resting energy expenditure in head and neck cancer patients before and during radiotherapy

Langius, J.A.E.; Kruizenga, Hinke; Uitdehaag, Bernard M. J.; Langendijk, Johannes A.; Doornaert, P.; Leemans, C. René; Weijs, P.J.M.

doi:10.1016/j.clnu.2011.12.009

Cited by 29 publications

(16 citation statements)

References 32 publications

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“…This finding may be explained by the metabolically active component, as previously discussed and confirmed by Cao et al (2010) 11 and Khor and Baidi (2011), 12 who found significant differences in REE that were proportional to the FFM of cases and controls. In these studies, individuals with cancer presented a higher REE proportional to their lean mass 11 , 12 , 28 , 32 , 33 . Therefore, considering all of the previously discussed assumptions, we believe that the best way to determine changes in metabolic status in patients with cancer is through making comparisons between patients and healthy controls, as accomplished in the present study.…”

Section: Discussionmentioning

confidence: 76%

“…This finding demonstrates that closely matched controls were used in this work, as differences in relation to FFM 12 or weight and BMI 11 between cases and controls may result in differences concerning energy expenditure. Other authors have also suggested that the REE of patients and controls is similar 11 , 12 , 24 , 28 , 31 . However, Scott and colleagues (2001) evaluated patients with lung cancer and showed that the REE of patients was lower than that of controls 32 .…”

Section: Discussionmentioning

confidence: 99%

“…Advanced stages of cancer are believed to increase REE, possibly as a consequence of an increased inflammatory profile 28 . Xu and colleagues (2010) found that patients in stage IV exhibited higher energy expenditure than did those in stages II and III ( P < .05) 29 .…”

Section: Discussionmentioning

confidence: 99%

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Energy Expenditure in Patients With Esophageal, Gastric, and Colorectal Cancer

Alves

Zuconi

Correia

2015

J Parenter Enteral Nutr

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Section: Discussionmentioning

confidence: 76%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Energy Expenditure in Patients With Esophageal, Gastric, and Colorectal Cancer

Alves

Zuconi

Correia

2015

J Parenter Enteral Nutr

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“…REE can be unchanged, increased or decreased in relation to the predicted energy expenditure (18)(19)(20) . In about 25 % of patients with active cancer, REE measured by the gold standard method, indirect calorimetry, is more than 10 % higher, and in another 25 % it is more than 10 % lower than predicted energy expenditure (21) .…”

Section: Energy Expenditure and Physical Activitymentioning

confidence: 99%

Cancer-associated malnutrition, cachexia and sarcopenia: the skeleton in the hospital closet 40 years later

et al. 2016

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An awareness of the importance of nutritional status in hospital settings began more than 40 years ago. Much has been learned since and has altered care. For the past 40 years several large studies have shown that cancer patients are amongst the most malnourished of all patient groups. Recently, the use of gold-standard methods of body composition assessment, including computed tomography, has facilitated the understanding of the true prevalence of cancer cachexia (CC). CC remains a devastating syndrome affecting 50-80 % of cancer patients and it is responsible for the death of at least 20 %. The aetiology is multifactorial and complex; driven by pro-inflammatory cytokines and specific tumour-derived factors, which initiate an energy-intensive acute phase protein response and drive the loss of skeletal muscle even in the presence of adequate food intake and insulin. The most clinically relevant phenotypic feature of CC is muscle loss (sarcopenia), as this relates to asthenia, fatigue, impaired physical function, reduced tolerance to treatments, impaired quality of life and reduced survival. Sarcopenia is present in 20-70 % depending on the tumour type. There is mounting evidence that sarcopenia increases the risk of toxicity to many chemotherapy drugs. However, identification of patients with muscle loss has become increasingly difficult as 40-60 % of cancer patients are overweight or obese, even in the setting of metastatic disease. Further challenges exist in trying to reverse CC and sarcopenia. Future clinical trials investigating dose reductions in sarcopenic patients and dose-escalating studies based on pre-treatment body composition assessment have the potential to alter cancer treatment paradigms.

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“…Individualized nutrition approaches can improve dietary intake and quality of life of cancer patients (13) and calorie needs are often the foundation for these recommendations (14). Previous research in other cancer populations yields mixed results of whether the REE of cancer patients differs from individuals without malignancies (8, 9) and if prediction equations underestimate (6, 8, 10), overestimate (5), or accurately predict (5) actual needs. It is likely these conclusions will vary by type of cancer, phase of the disease, and the treatment strategy.…”

Section: Introductionmentioning

confidence: 99%

Pilot Study to Explore the Accuracy of Current Prediction Equations in Assessing Energy Needs of Patients with Newly Diagnosed Glioblastoma Multiforme

Little

Oster

Darnell

et al. 2016

Nutrition and Cancer

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Glioblastoma multiforme (GBM) is rare, yet is the most common brain malignancy and has a poor prognosis. In GBM, there is a dearth of research on resting energy expenditure (REE) and accuracy of extant prediction equations. The aim of this cross-sectional study was to compare measured REE (mREE) to commonly-used prediction equations in newly-diagnosed GBM patients. REE was collected by indirect calorimetry in 20 GBM patients. Calculated REE was derived from Harris-Benedict (again with weight adjusted for obesity), Mifflin-St Jeor, and 20 kcal/kg. Paired t-tests and Bland-Altman analyses were used to compare group means, evaluate the bias, and find the limits of agreement. Clinical accuracy was assessed by determining the percentage of patients with predicted REE within ±10% of mREE. Subjects were evenly distributed with regard to gender, primarily Caucasian, largely overweight or obese, and had a mean age of 57 years. All equations overestimated mREE. Mifflin-St Jeor and adjusted Harris-Benedict had the narrowest limits of agreement and accurately predicted 60% and 65% of participants, respectively. Clinicians should be aware of the discrepancy between commonly used prediction equations and REE. More research is needed to verify these findings and decipher the cause and significance in the GBM population.

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Resting energy expenditure in head and neck cancer patients before and during radiotherapy

Cited by 29 publications

References 32 publications

Energy Expenditure in Patients With Esophageal, Gastric, and Colorectal Cancer

Energy Expenditure in Patients With Esophageal, Gastric, and Colorectal Cancer

Cancer-associated malnutrition, cachexia and sarcopenia: the skeleton in the hospital closet 40 years later

Pilot Study to Explore the Accuracy of Current Prediction Equations in Assessing Energy Needs of Patients with Newly Diagnosed Glioblastoma Multiforme

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