Guigoz Y
Applied Science and Quality Assurance, Nestle Product Technology Centre, Nestle Strasse 3, 3510 Konolfingen, Switzerland.
J Nutr Health Aging. 2006 Nov-Dec;10(6):466-85; discussion 485-7.
To review the literature on the MNA to Spring 2006, we searched MEDLINE, Web of Science and Scopus, and did a manual search in J Nutr Health Aging, Clin Nutr, Eur J Clin Nutr and free online available publications.
The MNA was validated against two principal criteria, clinical status and comprehensive nutrition assessment using principal component and discriminant analysis. The MNA shortform (MNA-SF) was developed and validated to allow a 2-step screening process. The MNA and MNA-SF are sensitive, specific, and accurate in identifying nutrition risk.
The prevalence of malnutrition in community-dwelling elderly (21 studies, n = 14149 elderly) is 2 +/- 0.1% (mean +/- SE, range 0- 8%) and risk of malnutrition is 24 +/- 0.4% (range 8-76%). A similar pattern is seen in out-patient and home care elderly (25 studies, n = 3119 elderly) with prevalence of undernutrition 9 +/- 0.5% (mean +/- SE, range 0-30%) and risk of malnutrition 45 +/- 0.9% (range 8-65%). A high prevalence of undernutrition has been reported in hospitalized and institutionalized elderly patients: prevalence of malnutrition is 23 +/- 0.5% (mean +/- SE, range 1- 74%) in hospitals (35 studies, n = 8596) and 21 +/- 0.5% (mean +/- SE, range 5-71%) in institutions (32 studies, n = 6821 elderly). An even higher prevalence of risk of malnutrition was observed in the same populations, with 46 +/- 0.5% (range 8-63%) and 51 +/- 0.6% (range 27-70%), respectively. In cognitively impaired elderly subjects (10 studies, n = 2051 elderly subjects), detection using the MNA, prevalence of malnutrition was 15 +/- 0.8% (mean +/- SE, range 0-62%), and 44 +/- 1.1% (range 19-87%) of risk of malnutrition.
The large variability is due to differences in level of dependence and health status among the elderly. In hospital settings, a low MNA score is associated with an increase in mortality, prolonged length of stay and greater likelihood of discharge to nursing homes. Malnutrition is associated with functional and cognitive impairment and difficulties eating. The MNA(R) detects risk of malnutrition before severe change in weight or serum proteins occurs.
Intervention studies demonstrate that timely intervention can stop weight loss in elderly at risk of malnutrition or undernourished and is associated with improvements in MNA scores. The MNA can also be used as a follow up assessment tool.
The MNA is a screening and assessment tool with a reliable scale and clearly defined thresholds, usable by health care professionals. It should be included in the geriatric assessment and is proposed in the minimum data set for nutritional interventions.
为回顾截至2006年春季有关微型营养评定法(MNA)的文献,我们检索了医学期刊数据库(MEDLINE)、科学引文索引(Web of Science)和Scopus数据库,并在《营养与健康衰老杂志》(J Nutr Health Aging)、《临床营养》(Clin Nutr)、《欧洲临床营养学杂志》(Eur J Clin Nutr)以及免费在线出版物中进行了手工检索。
MNA依据两个主要标准进行了验证,即临床状况以及运用主成分分析和判别分析的综合营养评估。MNA简表(MNA-SF)得以开发并验证,以实现两步筛查流程。MNA和MNA-SF在识别营养风险方面灵敏、特异且准确。
社区居住老年人中营养不良的患病率(21项研究,n = 14149名老年人)为2±0.1%(均值±标准误,范围0 - 8%),营养不良风险为24±0.4%(范围8 - 76%)。门诊和居家护理老年人中也呈现出类似模式(25项研究,n = 3119名老年人),营养不良患病率为9±0.5%(均值±标准误,范围0 - 30%),营养不良风险为45±0.9%(范围8 - 65%)。住院和机构养老的老年患者中营养不良患病率较高:医院中营养不良患病率为23±0.5%(均值±标准误,范围1 - 74%)(35项研究,n = 8596),机构中为21±0.5%(均值±标准误,范围5 - 71%)(32项研究,n = 6821名老年人)。在相同人群中观察到营养不良风险患病率甚至更高,分别为46±0.5%(范围8 - 63%)和51±0.6%(范围27 - 70%)。在认知障碍老年受试者中(10项研究,n = 2051名老年受试者),使用MNA检测,营养不良患病率为15±0.8%(均值±标准误,范围0 - 62%),营养不良风险为44±1.1%(范围19 - 87%)。
差异巨大是由于老年人在依赖程度和健康状况方面存在差异。在医院环境中,MNA得分低与死亡率增加、住院时间延长以及转至养老院的可能性增大相关。营养不良与功能和认知障碍以及进食困难有关。MNA(R)在体重或血清蛋白出现严重变化之前就能检测出营养不良风险。
干预研究表明,及时干预可阻止有营养不良或营养不足风险的老年人体重下降,并与MNA得分提高相关。MNA还可作为随访评估工具。
MNA是一种筛查和评估工具,具有可靠量表和明确界定的阈值,可供医护专业人员使用。它应纳入老年评估,并在营养干预的最小数据集中被推荐使用。