Literature DB >> 25359660

Weight and height in children newly diagnosed with cancer.

Aeltsje Brinksma1,2, Petrie F Roodbol1, Esther Sulkers1,2, H Louise Hooimeijer2, Pieter J J Sauer3, Eric van Sonderen4, Eveline S J M de Bont2, Wim J E Tissing2.   

Abstract

BACKGROUND: Although weight loss and lack of linear growth occur in children with cancer, growth history is not included in research that aims to determine nutritional status in children newly diagnosed with cancer. Therefore, this study aimed to determine weight loss and lack of linear growth in this patient group. PROCEDURE: Weight and height were recorded in 95 children (ages 1.5-10 years) at diagnosis and compared with data predicted from growth curves. Age, gender, type of malignancy, extent of disease, and prior weight and height were tested for their potential relation to differences between actual and predicted data.
RESULTS: The incidence of undernutrition, based on z-scores for weight-for-age (WFA), height-for-age (HFA), and weight-for-height (WFH), was 2%, 4%, and 7%, respectively. Actual z-scores were lower than predicted z-scores. Differences between actual and predicted z-scores of <-0.5 standard deviation score (SDS) in WFA, HFA, or WFH were found in 25%, 23%, and 29% of the children, respectively. Children with advanced cancer had the highest risk of significant weight loss (<-0.5 SDS in WFA) (ORWFA  = 3.45, P = 0.012) prior to diagnosis. Differences were unrelated to type of malignancy, age, gender, and weight and height prior to diagnosis.
CONCLUSIONS: At diagnosis, approximately 25% of the children showed a significant reduction in z-scores for weight-for-age, height-for-age, and weight-for-height. This reduction may indicate a deteriorated nutritional status. Therefore, assessment of growth history should be standard of care to ensure appropriate nutritional interventions and should be included in research that aims to evaluate nutritional status in children newly diagnosed with cancer. Pediatr Blood Cancer 2015;62:269-273.
© 2014 Wiley Periodicals, Inc. © 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  body weight changes; cancer; child; growth curves; malnutrition; nutritional status

Mesh:

Year:  2014        PMID: 25359660     DOI: 10.1002/pbc.25301

Source DB:  PubMed          Journal:  Pediatr Blood Cancer        ISSN: 1545-5009            Impact factor:   3.167


  6 in total

1.  Evaluation of an automated pediatric malnutrition screen using anthropometric measurements in the electronic health record: a quality improvement initiative.

Authors:  Charles A Phillips; Judith Bailer; Emily Foster; Yimei Li; Preston Dogan; Elizabeth Smith; Anne Reilly; Jason Freedman
Journal:  Support Care Cancer       Date:  2019-07-08       Impact factor: 3.603

2.  Normalized measures and patient characteristics to identify undernutrition in infants and young children treated for cancer.

Authors:  Daniel V Runco; Karen Wasilewski-Masker; Courtney E McCracken; Martha Wetzel; Claire M Mazewski; Briana C Patterson; Ann C Mertens
Journal:  Clin Nutr ESPEN       Date:  2020-06-02

3.  Implementation of an Automated Pediatric Malnutrition Screen Using Anthropometric Measurements in the Electronic Health Record.

Authors:  Charles A Phillips; Judith Bailer; Emily Foster; Preston Dogan; Patricia Flaherty; Diane Baniewicz; Elizabeth Smith; Anne Reilly; Jason Freedman
Journal:  J Acad Nutr Diet       Date:  2018-10-05       Impact factor: 4.910

Review 4.  Nutritional Status of Pediatric Cancer Patients at Diagnosis and Correlations with Treatment, Clinical Outcome and the Long-Term Growth and Health of Survivors.

Authors:  Vassiliki Diakatou; Tonia Vassilakou
Journal:  Children (Basel)       Date:  2020-11-07

5.  Prevalence of Undernutrition and Effect of Body Weight Loss on Survival among Pediatric Cancer Patients in Northeastern Hungary.

Authors:  Orsolya Kadenczki; Attila Csaba Nagy; Csongor Kiss
Journal:  Int J Environ Res Public Health       Date:  2021-02-04       Impact factor: 3.390

6.  Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality.

Authors:  Kim Blond; David Carslake; Line Klingen Gjærde; Dorte Vistisen; Thorkild I A Sørensen; George Davey Smith; Jennifer L Baker
Journal:  Sci Rep       Date:  2021-11-17       Impact factor: 4.379

  6 in total

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