Skip to main content Accessibility help
×
Home

The validity of simple methods to detect poor nutritional status in paediatric oncology patients

  • Alexia J. Murphy (a1), Melinda White (a2) and Peter S.W. Davies (a1)

Abstract

Poor nutritional status is a major concern for children being treated for an oncology condition. It is vital for optimal prognosis that nutritional concerns are recognised and treated promptly. The majority of oncology treatment centres only use simple methods to screen for poor nutritional status; however, it is unknown whether these simple methods accurately recognise poor nutritional status. We aimed to determine whether commonly used simple nutritional assessment variables could accurately identify poor nutritional status in children being treated for oncological conditions. This cross-sectional study measured height, weight, mid-upper arm circumference, triceps skinfold, albumin levels and body cell mass in forty children being treated for an oncological condition. To determine whether commonly used nutritional variables were suitable determinants, the variables were compared against the reference measure of body cell mass index (BCMI) Z-scores. Using the BCMI Z-score cut-off of − 1·65, 48 % of the study population were considered poorly nourished. Correlational analysis showed that there was no significant biological relationship between the BCMI Z-score and the simple parameters. When divided into two groups based on the nutritional status indicated by the BCMI Z-score, the independent t tests between the well-nourished and malnourished groups demonstrated that there was a significant difference in the BMI Z-score (P = 0·01) between the groups. No simple nutritional measures were found to accurately identify poor nutritional status in children being treated for oncological conditions.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      The validity of simple methods to detect poor nutritional status in paediatric oncology patients
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      The validity of simple methods to detect poor nutritional status in paediatric oncology patients
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      The validity of simple methods to detect poor nutritional status in paediatric oncology patients
      Available formats
      ×

Copyright

Corresponding author

*Corresponding author: Alexia J. Murphy, fax +61 7 33464684, email alexia.murphy@uq.edu.au

References

Hide All
1 Pietsch, JB & Ford, C (2000) Children with cancer: measurements of nutritional status at diagnosis. Nutr Clin Pract 15, 185188.
2 Smith, DE, Stevens, MC & Booth, IW (1991) Malnutrition at diagnosis of malignancy in childhood: common but mostly missed. Eur J Pediatr 150, 318322.
3 Lobato Mendizábal, E, Ruiz-Argüelles, GJ & Marín-López, A (1989) Leukaemia and nutrition I: malnutrition is an adverse prognostic factor in the outcome of treatment of patients with standard-risk acute lymphoblastic leukaemia. Leuk Res 13, 899906.
4 Mejia-Arangure, JM, Fajardo-Gutierrez, A, Reyes-Ruiz, NI, Bernaldez-Rios, R, Mejia-Dominguez, AM, Navarrete-Navarro, S & Martínez-García, MC (1999) Malnutrition in childhood lymphoblastic leukemia: a predictor of early mortality during the induction-to-remission phase of the treatment. Arch Med Res 30, 150153.
5 Reilly, JJ, Odame, I, McColl, JH, McAllister, PJ, Gibson, BE & Wharton, BA (1994) Does weight for height have prognostic significance in children with acute lymphoblastic leukemia? Am J Pediatr Hematol Oncol 16, 225230.
6 Viana, MB, Murao, M, Ramos, G, Oliveira, HM, de Carvalho, RI, de Bastos, M, Colosimo, EA & Silvestrini, WS (1994) Malnutrition as a prognostic factor in lymphoblastic leukaemia: a multivariate analysis. Arch Dis Child 71, 304310.
7 Khan, AU, Sheikh, MU & Intekhab, K (2006) Pre-existing malnutrition and treatment outcome in children with acute lymphoblastic leukaemia. J Pak Med Assoc 56, 171173.
8 Ladas, EJ, Sacks, N, Brophy, P & Rogers, PC (2006) Standards of nutritional care in pediatric oncology. Pediatr Blood Cancer 46, 339344.
9 Murphy, AJ, Wells, JC, Williams, JE, Fewtrell, MS, Davies, PS & Webb, DK (2006) Body composition in children in remission from acute lymphoblastic leukemia. Am J Clin Nutr 83, 7074.
10 Sala, A, Antillon, F, Pencharz, PB & Barr, R (2005) Nutritional status in children with cancer: a report from the AHOPCA workshop. Pediatr Blood Cancer 45, 230236.
11 McCallum, P & Polisena, C (editors) (2000) The Clinical Guide to Oncology Nutrition. Chicago, IL: Oncology Nutrition Dietetic Group, The American Dietetic Association.
12 Garofolo, A, Lopez, FA & Petrilli, AS (2005) High prevalence of malnutrition among patients with solid non-hematological tumors as found by using skinfold and circumference measurements. Sao Paulo Med J 123, 277281.
13 Merritt, RJ, Kalsch, M, Roux, LD, Ashley-Mills, J & Siegel, SS (1985) Significance of hypoalbuminemia in pediatric oncology patients – malnutrition or infection? J Parenter Enteral Nutr 9, 303306.
14 Oguz, A, Karadeniz, C, Pelit, M & Hasanoglu, A (1999) Arm anthropometry in evaluation of malnutrition in children with cancer. Pediatr Hematol Oncol 16, 3541.
15 National Center for Health Statistics (2000) CDC Growth Charts. Selected Percentiles and LMS Parameters. Hyattsville, MD: National Center for Health Statistics.
16 Frisancho, AR (1990) Anthropometric Standards for the Assessment of Growth and Nutritional Status. Ann Arbor, MI: University of Michigan Press.
17 Moore, FD (1980) Energy and the maintenance of the body cell mass. JPEN J Parenter Enteral Nutr 4, 228260.
18 Wang, Z, Saintonge, MP, Lecumberri, B, et al. (2004) Body cell mass: model development and validation at the cellular level of body composition. Am J Physiol Endocrinol Metab 286, E123E128.
19 Murphy, AJ & Davies, PS (2008) Body cell mass index in children: interpretation of total body potassium results. Br J Nutr 100, 666668.
20 Brennan, BM & Thomas, AG (1997) Nutritional status in children with acute leukemia. J Pediatr Gastroenterol Nutr 25, 248249.
21 Altman, A (editor) (2004) Supportive Care of Children with Cancer. Baltimore, MD: The Johns Hopkins University Press.
22 Kibirige, MS, Morris Jones, PH & Stevens, RF (1987) Indicators of malnutrition in leukaemic children. Arch Dis Child 62, 845846.
23 Talluri, A, Liedtke, R, Mohamed, EI, Maiolo, C, Martinoli, R & De Lorenzo, A (2003) The application of body cell mass index for studying muscle mass changes in health and disease. Acta Diabetol 40, Suppl. 1, S286S289.

Keywords

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed