数据归一化在儿科急性淋巴细胞白血病患者营养状况及营养不良风险分析筛选中的应用

Xiu-ling Yang, Jie Yan, Changlu Pan, Wenli Zhao
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引用次数: 0

摘要

目的了解住院儿童急性淋巴细胞白血病(ALL)的营养状况及营养不良风险,为后续治疗提供营养支持,降低营养风险,提高治疗效果;通过数据归一化完成不同年龄段身高和体重的统计分析。方法选择2014年8月至2016年9月在北京儿童医院确诊为ALL的592名儿童,收集反映儿童营养状况的直接测量身高和体重,并进行标准化。通过STAMP筛查工具完成营养风险筛查,并通过HAZ<-2、WAZ<-2和WHZ<-2三个Z评分评估营养状况。通过L-sp治疗前后的体重、血红蛋白和白蛋白变化来研究营养干预的效果。结果Z评分检验显示,治疗前ALL患者的营养状况(生长迟缓0.34%,体重减轻2.36%,消瘦0.17%)与正常健康儿童(营养不良3%)无显著差异;通过对ALL儿童STAMP营养风险评估和t检验结果的比较,发现儿童营养不良风险高(得分≥4)的比例为9.71%,与体重指数有很强的相关性;体重指数小于0.80(50%儿童营养不良)或大于1.30(20%儿童营养不良;STAMP≤3和STAMP≥4的儿童在身高和体重方面存在显著差异(均P<0.05)。营养干预在治疗期间没有显著的体重变化;在L-sp治疗中,STAMP≤3和STAMP≥4的儿童血红蛋白值分别从(87.46±19.27)g/L变化为(95.12±13.51)g/L和(101.55±21.97)g/L变化至(95.05±11.22)g/L(均P=0.001);STAMP≤3患儿治疗后血清白蛋白由(40.63±4.149)g/L变化为(41.20±5.266)g/L,STAMP≥4患儿治疗后白蛋白由(40.96±8.429)g/L变化至(42.17±3.574)g/L(P=0.020,0.05)。治疗期间需要特殊的饮食指导。营养干预对L-sp的治疗是有效的。归一化数据更方便用于统计分析,结果更准确,可作为跨年龄组儿童身高、体重等参数统计分析的补充方法。关键词:营养不良;风险筛查;评估;数据规范化
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Application of data normalization in the analysis and screening of the nutritional status and malnutrition risks in pediatric patients with acute lymphoblastic leukemia
Objective To evaluate the nutrional status and malnutrition risks of hospitalized children with acute lymphoblastic leukemia (ALL), provide nutrition support for subsequent treatment, lower nutritional risks and improve therapeutic effects; to complete the statistical analysis of height and weight across age through data normalization. Methods A total of 592 children diagnosed ALL from August 2014 to September 2016 at Beijing Children's Hospital were enrolled, and the directly measured height and weight which reflected the nutritional status of children were collected and normalized. Nutritional risk screening was completed by STAMP screening tool and the nutritional status was evaluated by three Z scores HAZ<-2, WAZ<-2 and WHZ<-2. The effects of nutrition intervention were investigated by weight, hemoglobin and albumin changes between before and after L-asp treatment. Results The Z score test showed that there was no significant difference between the nutritional status of pretreatment ALL patients(0.34% growth retardation, 2.36% lower body weight, 0.17% emaciation) and normal healthy children (3% malnutrition); after comparing the STAMP nutritional risk assessment and t test results for children with ALL, it was found that the proportion of children with high malnutrition risk ( score≥4 ) was 9.71%, which had a strong correlation with body mass index; the children with body mass index less than 0.80(50% children having malnutrition) or greater than 1.30(20% children having malnutrition) had a higher risk of malnutrition, and the body mass indexof the high-risk group(0.852 kg/m2) were significantly lower than that of the low risk group(1.051 kg/m2, score≤3 ); there were significant differences in height and weight between children with STAMP≤3 and STAMP≥4 (all P<0.05) Nutritional interventions made no significant weight change during treatment; For children with STAMP≤3 and STAMP≥4 in L-asp treatment, the hemoglobin value changed from (87.46±19.27)g/L to (95.12±13.51)g/L and (101.55±21.97)g/L to (95.05±11.22)g/L respectively (all P=0.001); The albumin of children with STAMP≤3 changed from (40.63±4.149)g/L to (41.20±5.266)g/L in treatment and that of children with STAMP≥4 changed from (40.96±8.429)g/L to (42.17±3.574)g/L in treatment(P=0.20, 0.05). Conclusion There are no obvious indications of malnutrition in children with ALL, but nearly 10 % of them have malnutrition risks. Special dietary guidance is needed during the treatment. Nutrition intervention is effective in the treatment of L-asp. Normalized data is more convenient to use in statistical analysis with more accurate results, which can be used as a supplementary method for cross-age group statistical analysis of children's height, weight and other parameters. Key words: Malnutrition; Risk screening; Evaluation; Data normalization
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中华临床营养杂志
中华临床营养杂志 Nursing-Nutrition and Dietetics
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