Low calf circumference is an independent predictor of mortality in cancer patients: A prospective cohort study.

Autor: Sousa IM; Postgraduate Program in Nutrition, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Brazil., Bielemann RM; Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil., Gonzalez MC; Postgraduate Program in Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil., da Rocha IMG; Postgraduate Program in Nutrition, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Brazil., Barbalho ER; Postgraduate Program in Physical Education, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Brazil., de Carvalho ALM; Postgraduate Program in Nutrition, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Brazil., Dantas MAM; Liga Norteriograndense Contra Câncer, Natal, Brazil., de Medeiros GOC; Onofre Lopes University Hospital, Federal University of Rio Grande do Norte, Natal, Brazil., Silva FM; Postgraduate Program in Nutrition Science, Federal University of Health Science of Porto Alegre, Porto Alegre, Brazil., Fayh APT; Postgraduate Program in Nutrition, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Brazil; Postgraduate Program in Physical Education, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Brazil. Electronic address: apfayh@yahoo.com.br.
Jazyk: angličtina
Zdroj: Nutrition (Burbank, Los Angeles County, Calif.) [Nutrition] 2020 Nov - Dec; Vol. 79-80, pp. 110816. Date of Electronic Publication: 2020 Mar 19.
DOI: 10.1016/j.nut.2020.110816
Abstrakt: Objective: Loss of muscle mass is associated with worse outcomes in patients with cancer. The objective of this study was to evaluate the prognostic value of calf circumference (CC) and skeletal muscle index from computed tomography (CT) to predict mortality in patients with cancer.
Methods: A single-center prospective study was conducted with patients aged ≥20 y attending a reference center of oncology and who had recent abdominal CT images. Data were collected through a semistructured form and patients' records and included sociodemographic data (sex, age and ethnicity), clinical data (primary site and staging of tumor and treatments performed), anthropometric variables (body mass index and CC), and outcome (death). Low CC for men was considered to be ≤ 34 cm and for women ≤ 33 cm. Muscle mass was assessed by CT images at the level of L3. The Cox proportional hazard model adjusted for age, sex, and staging of disease was used.
Results: A total of 250 patients were evaluated, 52.8% female, with a median age of 63 y (interquartile ratio: 55-73). Normal body mass index was identified in 44.4%; 29.2% had low skeletal muscle index, and 46.4% had low CC. Death by any cause occurred in 16%, and only low CC was a significant predictor of mortality (hazard ratio = 3.01; confidence interval 1.52-5.98; P = 0.002).
Conclusions: Low CC can predict risk of mortality in this cohort of patients. The findings suggest the use of CC as a simple, easy, cost-effective anthropometric measurement to quickly screen patients at risk of death who could benefit from targeted care to improve their prognosis.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2020 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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