Measurement of resting energy expenditure and its accuracy in women with breast cancer.

Energy requirements Nutritional status Overweight Prediction Resting metabolic rate

Journal

Clinical nutrition (Edinburgh, Scotland)
ISSN: 1532-1983
Titre abrégé: Clin Nutr
Pays: England
ID NLM: 8309603

Informations de publication

Date de publication:
25 Sep 2024
Historique:
received: 06 05 2024
revised: 06 09 2024
accepted: 22 09 2024
medline: 30 9 2024
pubmed: 30 9 2024
entrez: 29 9 2024
Statut: aheadofprint

Résumé

Breast cancer (BC) is frequently linked with obesity, metabolic syndrome, and sarcopenia. Therefore, measuring or accurately estimating resting energy expenditure (REE) is crucial for tailoring nutritional needs, managing weight and prevent under- or over-nutrition. We aimed to measure and compare REE between women with BC and a matched control group. Moreover, the prediction accuracy of selected formulas was evaluated. Women aged ≥18 years with newly diagnosis of BC (stage 0-III) and body mass index (BMI) ≤ 30 kg/m We included 106 women with BC (age 49.9 ± 11.1 years and BMI 24.5 ± 2.8 kg/m Women with early-stage BC exhibited higher mREE compared to controls, albeit its clinical significance is unknown. None of the selected predictive equations provided accurate and precise REE estimates in this group. Although the Marra equation displayed the highest agreement, further studies are needed to evaluate REE variability and its prediction in women with BC.

Sections du résumé

BACKGROUND & AIMS OBJECTIVE
Breast cancer (BC) is frequently linked with obesity, metabolic syndrome, and sarcopenia. Therefore, measuring or accurately estimating resting energy expenditure (REE) is crucial for tailoring nutritional needs, managing weight and prevent under- or over-nutrition. We aimed to measure and compare REE between women with BC and a matched control group. Moreover, the prediction accuracy of selected formulas was evaluated.
METHODS METHODS
Women aged ≥18 years with newly diagnosis of BC (stage 0-III) and body mass index (BMI) ≤ 30 kg/m
RESULTS RESULTS
We included 106 women with BC (age 49.9 ± 11.1 years and BMI 24.5 ± 2.8 kg/m
CONCLUSIONS CONCLUSIONS
Women with early-stage BC exhibited higher mREE compared to controls, albeit its clinical significance is unknown. None of the selected predictive equations provided accurate and precise REE estimates in this group. Although the Marra equation displayed the highest agreement, further studies are needed to evaluate REE variability and its prediction in women with BC.

Identifiants

pubmed: 39342800
pii: S0261-5614(24)00348-0
doi: 10.1016/j.clnu.2024.09.037
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

54-64

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest Authors declare no conflict of interest.

Auteurs

Iolanda Cioffi (I)

Division of Human Nutrition, Department of Food, Environmental and Nutritional Sciences - DEFENS, Università Degli Studi di Milano, Celoria 2, 20133 Milan, Italy; Department of Clinical Medicine and Surgery, Federico II University Hospital, Pansini 5, 80131 Naples, Italy. Electronic address: iolanda.cioffi@unimi.it.

Olivia Di Vincenzo (O)

Department of Public Health, Federico II University Hospital, Pansini 5, 80131 Naples, Italy.

Delia Morlino (D)

Department of Clinical Medicine and Surgery, Federico II University Hospital, Pansini 5, 80131 Naples, Italy.

Bruna Ramos da Silva (B)

Department of Agricultural, Food and Nutritional Science, University of Alberta, 8602 - 112 Street NW, Edmonton, Alberta, Canada.

Carla M Prado (CM)

Department of Agricultural, Food and Nutritional Science, University of Alberta, 8602 - 112 Street NW, Edmonton, Alberta, Canada.

Lidia Santarpia (L)

Department of Clinical Medicine and Surgery, Federico II University Hospital, Pansini 5, 80131 Naples, Italy.

Luca Scalfi (L)

Department of Public Health, Federico II University Hospital, Pansini 5, 80131 Naples, Italy.

Mario Giuliano (M)

Department of Clinical Medicine and Surgery, Federico II University Hospital, Pansini 5, 80131 Naples, Italy.

Carmine De Angelis (C)

Department of Clinical Medicine and Surgery, Federico II University Hospital, Pansini 5, 80131 Naples, Italy.

Fabrizio Pasanisi (F)

Department of Clinical Medicine and Surgery, Federico II University Hospital, Pansini 5, 80131 Naples, Italy.

Grazia Arpino (G)

Department of Clinical Medicine and Surgery, Federico II University Hospital, Pansini 5, 80131 Naples, Italy.

Maurizio Marra (M)

Department of Clinical Medicine and Surgery, Federico II University Hospital, Pansini 5, 80131 Naples, Italy.

Classifications MeSH