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不同的营养筛查工具和推荐的儿科肿瘤患者筛查算法。

Different nutritional screening tools and recommended screening algorithm for pediatric oncology patients.

机构信息

2nd Department of Pediatrics, Semmelweis University, Budapest, 1094, 7-9 Tuzolto Street, Hungary.

2nd Department of Pediatrics, Semmelweis University, Budapest, 1094, 7-9 Tuzolto Street, Hungary.

出版信息

Clin Nutr. 2021 Jun;40(6):3836-3841. doi: 10.1016/j.clnu.2021.05.013. Epub 2021 May 24.

Abstract

BACKGROUND & AIMS: Cancer is one of the leading causes of death for children; however, appropriate nutritional status can positively affect disease progression and outcome. The aim of this study was to present our self-developed nutritional risk screening method, relate it to another validated tool and to objective bio-impedance measures. We intended to recommend a screening algorithm which can be used in our pediatric oncology facilities.

METHODS

We analysed data from 109 pediatric oncology patients (age 3-18) at the 2nd Department of Pediatrics, Semmelweis University between 2017 and 2018. The nutritional status was assessed by the Nutrition screening tool for childhood cancer (SCAN), Nutrition risk screening for pediatric cancer (NRS-PC) our own self-developed screening tool and Bio-impedance analysis (InBody 720 and S10). Classifier properties for low muscle mass measured by Bio-impedance analysis were compared for SCAN and NRS-PC in the overall sample and in the different phases of the disease.

RESULTS

The AUC of 0.67 [95% CI:0.58,0.75] of the SCAN was significantly lower (Z = -2.46, p = 0.014) than in the case of the NRS-PC (AUC = 0.75 [95% CI:0.67,0.82]), indicating that NRS-PC has better classifier properties to identify children with lower muscle mass. No significant difference was found in the different phases of the disease.

CONCLUSIONS

Based on our results, we suggest screening high BMI patients first with NRS-PC. However, in case of low BMI bio-impedance measures provide more precise information on muscle mass and nutritional risk. Further data are needed to decide whether the NRS-PC is sensitive enough in normal BMI patients.

摘要

背景与目的

癌症是导致儿童死亡的主要原因之一;然而,适当的营养状况可以积极影响疾病的进展和结果。本研究旨在介绍我们自行开发的营养风险筛查方法,将其与另一种经过验证的工具和客观生物阻抗测量方法相关联,并为我们的儿科肿瘤学设施推荐一种可使用的筛查算法。

方法

我们分析了 2017 年至 2018 年在塞梅尔维斯大学第二儿科学系的 109 名儿科肿瘤患者(年龄 3-18 岁)的数据。营养状况通过儿童癌症营养筛查工具(SCAN)、儿科癌症营养风险筛查(NRS-PC)、我们自己开发的筛查工具和生物阻抗分析(InBody 720 和 S10)进行评估。在整个样本和疾病的不同阶段,比较了生物阻抗分析测量的低肌肉量的分类器特性,用于 SCAN 和 NRS-PC。

结果

SCAN 的 AUC 为 0.67[95%CI:0.58,0.75],明显低于 NRS-PC 的 AUC 0.75[95%CI:0.67,0.82](Z=-2.46,p=0.014),表明 NRS-PC 具有更好的分类器特性来识别低肌肉量的儿童。在疾病的不同阶段没有发现显著差异。

结论

根据我们的结果,我们建议首先使用 NRS-PC 筛查高 BMI 患者。然而,在 BMI 较低的情况下,生物阻抗测量提供了更精确的肌肉量和营养风险信息。需要进一步的数据来决定 NRS-PC 在正常 BMI 患者中是否足够敏感。

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