在儿科瘤学中实施营养干预算法与标准营养支持护理结果相比
Judy Schoeman1, Ilde-Marié Kellerman2, Elena J Ladas3
1Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg Hospital, Cape Town, South Africa; Division of Paediatric Oncology and Hematology, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, University of Pretoria, Pretoria, South Africa.
一个新的营养算法改善了南非癌症儿童的营养状况. 这种干预优化了护理,导致在诊断后六个月内获得更好的结果.
科学领域:
- 儿科瘤学 儿科瘤学
- 营养科学 营养科学
- 公共卫生 公共卫生
背景情况:
- 儿童癌症显著影响营养状况.
- 有效的营养干预措施对于改善儿科瘤学的结果至关重要.
- 在南非等不同环境中,营养算法需要特定的环境适应.
研究的目的:
- 为患有癌症的儿童实施和评估南非适应的营养算法.
- 评估算法导向的营养干预措施对营养状况的影响.
- 随着时间的推移,比较干预和对照组之间的营养结果.
主要方法:
- 一项纵向营养评估研究,涉及320名新诊断患有癌症的儿童.
- 干预组接受了算法导向的营养护理;对照组接受了标准护理.
- 在六个月内,每月评估衰老,体重不足,衰竭和中度急性营养不良 (MAM).
主要成果:
- 干预组在6个月内显著改善了发育迟缓,体重不足和衰减.
- 中度急性营养不良 (MAM) 在干预组显著改善.
- 虽然观察到改善,但随着时间的推移,各组平均z分数的总体差异并不显著.
结论:
- 适应营养算法是优化南非儿童癌症护理营养干预措施的有效工具.
- 该算法在癌症治疗的最初六个月内对改善营养结果产生了积极影响.
- 进一步的研究可能会探索长期影响和更广泛的实施策略.
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