Performance of subjective global nutritional assessment in predicting clinical outcomes: Data from the Brazilian survey of pediatric oncology nutrition

被引:3
作者
Afonso, Wanelia Vieira [1 ]
Ferreira Peres, Wilza Arantes [2 ]
de Pinho, Nivaldo Barroso [3 ]
Correa Schilithz, Arthur Orlando [1 ]
Martucci, Renata Brum [1 ,4 ]
Rodrigues, Viviane Dias [1 ]
Nascimento, Barbara Folino [5 ]
Figueiredo Moreira, Carolina Ferraz [5 ]
Padilha, Patricia de Carvalho [6 ]
机构
[1] Brazilian Minist Hlth, Natl Canc Inst Jose Alencar Gomes da Silva, Rio De Janeiro, Brazil
[2] Univ Fed Rio de Janeiro, Josue de Castro Nutr Inst, Rio De Janeiro, Brazil
[3] Brazilian Soc Oncol Nutr, Rio De Janeiro, Brazil
[4] Univ Estado Rio De Janeiro, Nutr Inst, Rio De Janeiro, Brazil
[5] Univ Fed Rio de Janeiro, Inst Childcare & Pediat Martagao Gesteira, Rio De Janeiro, Brazil
[6] Univ Fed Rio de Janeiro, Inst Childcare & Pediat Martagao Gesteira, Josue de Castro Nutr Inst, Rio De Janeiro, Brazil
关键词
SCREENING TOOLS; CHILDREN; VALIDATION; MALNUTRITION; CANCER; RISK;
D O I
10.1002/cam4.4837
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Methods for assessing nutritional status in children and adolescents with cancer is a difficult in clinical practice. The study aimed to evaluate the performance of Subjective Global Nutritional Assessment (SGNA) in predicting clinical outcomes in children and adolescents with cancer in Brazil. Methods This was a prospective cohort multicenter study. It was included 723 children and adolescents with cancer aged 2-18 years between March 2018 and August 2019. Nutritional assessment was performed according to World Health Organization recommendations and using SGNA within 48h of hospitalization. Unplanned readmission, length of hospital stay, and post-discharge death were analyzed. Cohen's kappa coefficient was used to ascertain the agreement between body mass index for age (BMI/A) and SGNA. The sensitivity, specificity, positive and negative predictive values, and accuracy of SGNA were estimated. Odds ratios (ORs) with 95% confidence intervals (CIs) were evaluated using multiple logistic regression. Results The mean patient age was 9.4 +/- 4.9 years. SGNA showed that 29.7% (n = 215) and 6.5% (n = 47) patients had moderate and severe malnutrition, respectively. Considering the concurrent validity criterion, SGNA had an OR (95% CI) of 6.8 (3.1-14.9) for predicting low and very low weight for age at admission, with a sensitivity and specificity of 72.4% (59%-82.1%) and 72% (64.2%-78.9%), respectively. SGNA could predict death in children with severe/moderate malnutrition, with an accuracy of 63.8% (63%-65.1%). Logistic multivariate analysis showed that the adjusted effect of death; hematological tumor; living in the northeast, southeast, and midwest regions of Brazil; and older age was associated with malnutrition according to SGNA. Conclusion Based on concurrent validity between SGNA and anthropometry, SGNA performed well and had a good ability to predict death in Brazilian children with cancer.
引用
收藏
页码:4612 / 4623
页数:12
相关论文
共 38 条
[31]  
Secretariat of Health Care, 2011, GUID COLL AN ANTHR D, V76
[32]   Nutritional status at presentation, comparison of assessment tools, and importance of arm anthropometry in children with cancer in India [J].
Shah, P. ;
Jhaveri, U. ;
Idhate, T. B. ;
Dhingra, S. ;
Arolkar, P. ;
Arora, B. .
INDIAN JOURNAL OF CANCER, 2015, 52 (02) :210-U215
[33]   Nutritional screening in hospitalized pediatric patients: a systematic review [J].
Teixeira, Adriana Fonseca ;
Araujo Lourenco Viana, Katia Danielle .
JORNAL DE PEDIATRIA, 2016, 92 (04) :343-352
[34]   Subjective Global Nutritional Assessment in Critically Ill Children [J].
Vermilyea, Sarah ;
Slicker, Julie ;
El-Chammas, Khalil ;
Sultan, Mutaz ;
Dasgupta, Mahua ;
Hoffmann, Raymond G. ;
Wakeham, Martin ;
Goday, Praveen S. .
JOURNAL OF PARENTERAL AND ENTERAL NUTRITION, 2013, 37 (05) :659-666
[35]   Nutrition of Children With Cancer in Brazil: A Systematic Review [J].
Viani, Karina ;
Albuquerque, Luiza ;
Barr, Ronald D. ;
Ladas, Elena J. .
JCO GLOBAL ONCOLOGY, 2020, 6 :242-259
[36]   STRONGkids validation: tool accuracy [J].
Vieira Maciel, Juliana Rolim ;
Nakano, Eduardo Yoshio ;
Baiocchi de Carvalho, Kenia Mara ;
Dutra, Eliane Said .
JORNAL DE PEDIATRIA, 2020, 96 (03) :371-378
[37]   Validity of Nutritional Screening Tools for Hospitalized Children [J].
Wonoputri, Nathania ;
Djais, Julistio T. B. ;
Rosalina, Ina .
JOURNAL OF NUTRITION AND METABOLISM, 2014, 2014
[38]  
World Health Organization, 2011, XLOGP Program Version