DEVELOPMENT OF AN INTEGRATED SCREENER FOR UNDERNUTRITION WITHIN A COMPREHENSIVE GERIATRIC ASSESSMENT SYSTEM

O. Wright, K. Klein, P. Lakhan, A. Vivanti, L. Gray
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Abstract

Objective: To develop a screener for the presence of undernutrition in older adults in acute care utilizing items within a comprehensive geriatric assessment (CGA) instrument (the interRAI Acute Care). Design: Prospective cohort study and retrospective medical record review of nutritional assessment data. Setting: Acute care tertiary teaching hospital in Brisbane, Australia. Participants: Five hundred fifty-seven general medical patients aged 70 and older admitted to the hospital. Measurements: Prevalence of geriatric syndromes at admission; measures of functional status (activities of daily living), cognition, behavioural symptoms, social support, community assistance services, health conditions, medications and other medical treatments, weight, body mass index (BMI), mode of nutritional intake; demographic variables and Subjective Global Assessment (SGA) of nutritional status. These measures were tested for their prediction of undernutrition using a logistic regression model and decision tree analysis. Results: The following variables were significant independent predictors of undernutrition on admission, after adjustment for age and gender: (i) feeling sad/depressed (OR: 3.494 [1.124-10.864]; p<0.05); (ii) short term memory recalling ability (OR: 3.325 [1.152-9.594]; p<0.05); (iii) weight loss of 5% or more in the last 30 days or 10% or more in the last 180 days (OR: 2.877 [0.983-8.416]; p=0.05); (iv) fatigue (OR: 3.494 [1.414-43.205]; p<0.05). Decision tree analysis revealed two models most predictive of undernutrition: (i) short term memory recalling ability and depression (AUC 72.8% [95% CI: 65%-80.6%]); (ii) short term memory recalling ability and recent weight loss (5% or more in the last 30 days or 10% or more in the last 180 days) (AUC: 74.8% [95% CI: 65.9% - 83.6%]). Conclusion: Several measures within the interRAI-AC may be used as part of a screener for undernutrition in acute hospital patients aged 70 years or older. The combination of short term memory recalling ability and percentage weight loss provides the most statistically robust screener for undernutrition within the interRAI-AC.
在全面的老年评估系统中开发营养不良综合筛选器
目的:利用综合老年评估(CGA)工具(interRAI急性护理)中的项目,开发一种筛查急性护理中老年人营养不良的方法。设计:前瞻性队列研究和营养评估数据的回顾性病历回顾。地点:澳大利亚布里斯班的三级急症教学医院。研究对象:557名70岁及以上住院的普通医学患者。测量:入院时老年综合征的患病率;测量功能状况(日常生活活动)、认知、行为症状、社会支持、社区援助服务、健康状况、药物和其他医疗、体重、身体质量指数(BMI)、营养摄入方式;营养状况的人口统计变量和主观总体评估(SGA)。使用逻辑回归模型和决策树分析对这些措施的营养不良预测进行了测试。结果:在调整年龄和性别后,以下变量是入院时营养不良的显著独立预测因子:(i)感到悲伤/抑郁(OR: 3.494 [1.124-10.864];p < 0.05);(ii)短期记忆回忆能力(OR: 3.325 [1.152-9.594];p < 0.05);(iii)最近30天体重减轻5%及以上或最近180天体重减轻10%及以上(or: 2.877 [0.983-8.416]);p = 0.05);(iv)疲劳(OR: 3.494 [1.414-43.205];p < 0.05)。决策树分析揭示了两个最能预测营养不良的模型:(i)短期记忆回忆能力和抑郁(AUC 72.8% [95% CI: 65%-80.6%]);(ii)短期记忆回忆能力和近期体重减轻(最近30天内5%或以上或最近180天内10%或以上)(AUC: 74.8% [95% CI: 65.9% - 83.6%])。结论:interRAI-AC中的一些指标可作为70岁及以上急性住院患者营养不良筛查的一部分。短期记忆回忆能力和体重下降百分比的组合在interRAI-AC中提供了统计上最可靠的营养不良筛查。
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