一个移动应用程序的验证,用于在瘤手术后早期检测蛋白质摄入不足
Hinke M Kruizenga1, Iris Korbee2, Charlotte van Westerhuis3
1Amsterdam UMC Location Vrije Universiteit Amsterdam, Department Nutrition & Dietetics, Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Movement Sciences, Aging & Vitality, Amsterdam, the Netherlands; Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, the Netherlands.
Clinical nutrition ESPEN
|November 27, 2025
概括
eiFIT移动应用程序在检测外科瘤患者摄入不足够的蛋白质时具有中等准确性,有助于早期营养查. 为了更广泛的使用,建议进一步验证.
科学领域:
- 临床营养学 临床营养学
- 数字健康应用程序 数字健康应用程序
- 手术瘤学手术瘤学
背景情况:
- 足够的蛋白质摄入量对于从疾病中恢复至关重要,防止营养不良和帮助伤口愈合.
- 移动应用程序可以促进饮食摄入的自我监测和早期发现缺陷.
- 使用Rate-a-Plate方法开发的eiFIT应用程序是为了简化蛋白质摄入量的自我监测.
研究的目的:
- 评估eiFIT应用程序用于估计蛋白质摄入量的并发有效性.
- 与24小时的饮食回忆相比,评估eiFIT应用程序检测不足蛋白质摄入量的能力.
- 为了确定eiFIT应用程序在识别蛋白质消费不足时的灵敏度,特异性和准确性.
主要方法:
- 一项采用OPRAH试验数据的横截面研究,涉及主要瘤手术患者.
- 通过eiFIT应用程序记录的每日蛋白质摄入量和饮食师管理的24小时饮食回忆的对比.
- 计算灵敏度,特异性和预测值,以检测蛋白质摄入量低于75%的需求.
主要成果:
- 分析了62名患者 (245个配对日) 的数据.
- eiFIT应用程序在识别不充分的蛋白质摄入量方面表现出72%的灵敏度和83%的特异性,总准确率为78%.
- 在超重/肥胖个体和蛋白质需求较高的男性中观察到更高的错误分类率.
结论:
- 在手术瘤患者中,eiFIT应用程序提供了适度的有效性来识别不充分的蛋白质摄入量.
- 该应用程序的用户友好性支持日常营养自我监测和早期查.
- 部分估计和数据输入的改进可以提高应用程序的准确性;需要在不同的群体中进一步验证.
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