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简易营养评估简表(MNA-SF)对社区老年人群的预测能力:一项横断面研究。

Predictive ability of the Mini Nutritional Assessment Short Form (MNA-SF) in a free-living elderly population: a cross-sectional study.

作者信息

Montejano Lozoya Raimunda, Martínez-Alzamora Nieves, Clemente Marín Gonzalo, Guirao-Goris Silamani J A, Ferrer-Diego Rosa María

机构信息

La Fe School of Nursing, University of Valencia, Valencia, España.

Health Research Institute La Fe (IIS La Fe), Valencia, España.

出版信息

PeerJ. 2017 May 18;5:e3345. doi: 10.7717/peerj.3345. eCollection 2017.

DOI:10.7717/peerj.3345
PMID:28533984
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5438591/
Abstract

BACKGROUND

Various scales have been used to perform a quick and first level nutritional assessment, and the MNA is one of the most used and recommended by experts in the elderly in all areas. This scale has a short form, the MNA-SF, revised and validated in 2009, which has two versions: the BMI-MNA-SF contains the first six items of the full scale including Body Mass Index while the CC-MNA-SF includes Calf Circumference instead of BMI.

OBJECTIVE

To evaluate the predictive ability for nutritional status of the two versions of the MNA-SF against the MNA in free-living elderly in the province of Valencia.

METHODS

Cross-sectional study of 660 free-living elderly in the province of Valencia selected in 12 community centres using stratified sampling by blocks. Inclusion criteria: being aged 65 or over, living at home, having functional autonomy, residing in the province of study for more than one year, regularly attending community centres and voluntarily wanting to take part.

RESULTS

Of the 660 subjects studied, 319 were men (48.3%) and 341 (51.7%) women with a mean age of 74.3 years (SD = 6.6). In terms of nutritional assessment, using the BMI-MNA-SF and the CC-MNA-SF we found that 26.5% and 26.2% were at risk of malnutrition and 0.9% and 1.5% were malnourished respectively. With the full MNA, 23.3% were at risk of malnutrition. Spearman's rank correlation coefficients indicate a high association between the full MNA score and the MNA-SFs scores (BMI-MNA-SF:  = 0.78 < 0.001; CC-MNA-SF:  = 0.78 < 0.001). In addition we obtained a very high correlation between the two MNA-SFs ( = 0.96 < 0.001). We evaluated the agreement between the full MNA and the MNA-SFs classification in three nutritional categories (normal nutritional status, risk of malnutrition, malnutrition) with Cohen's kappa coefficients (BMI-MNA-SF:  = 0.54 < 0.001; CC-MNA-SF:  = 0.52 < 0.001). These values indicate moderate agreement with the full MNA. There is very good agreement between the BMI-MNA-SF and CC-MNA-SF ( = 0.88 < 0.001). In order to determine the ability of both MNA-SFs to identify subjects not requiring any nutritional intervention, we considered the dichotomised categorisation of the full MNA and the MNA-SFs as "normal nutritional status" vs. "malnutrition and risk of malnutrition" Areas under the ROC curves using MNA as the gold standard indicate moderately high prognostic accuracy (BMI-MNA-SF:  = 0.88 < 0.001; CC-MNA-SF: AUC = 0.87  < 0.001). Both versions of the MNA-SF showed similar sensitivity, specificity and diagnostic effectiveness (BMI-MNA-SF: 73.4%, 86.6%, 83.5%; CC-MNA-SF 73.4%, 86.2%, 83.2%).

CONCLUSIONS

In its two versions the MNA-SF presents useful predictive ability against the MNA. The advantage of the CC-MNA-SF is that using it requires fewer resources and less time in primary care, although always the characteristics of the population must take into account to make the right decision based on the MNA-SF scales.

摘要

背景

已使用多种量表进行快速的一级营养评估,而微型营养评定法(MNA)是所有领域中老年人专家最常用且推荐的方法之一。该量表有一个简表,即MNA-SF,于2009年修订并验证,有两个版本:BMI-MNA-SF包含完整量表的前六项,包括体重指数,而CC-MNA-SF用小腿围代替了BMI。

目的

评估MNA-SF两个版本对巴伦西亚省居家老年人营养状况相对于完整MNA的预测能力。

方法

采用分层整群抽样法,在巴伦西亚省的12个社区中心选取660名居家老年人进行横断面研究。纳入标准:年龄65岁及以上,居家生活,有功能自主性,在研究省份居住一年以上,定期到社区中心且自愿参与。

结果

在研究的660名受试者中,319名男性(48.3%),341名女性(51.7%),平均年龄74.3岁(标准差 = 6.6)。在营养评估方面,使用BMI-MNA-SF和CC-MNA-SF时,我们发现分别有26.5%和26.2%的人存在营养不良风险,0.9%和1.5%的人营养不良。使用完整MNA时,23.3%的人存在营养不良风险。Spearman等级相关系数表明完整MNA评分与MNA-SF评分之间存在高度相关性(BMI-MNA-SF:r = 0.78,P < 0.001;CC-MNA-SF:r = 0.78,P < 0.001)。此外,我们发现两个MNA-SF之间的相关性非常高(r = 0.96,P < 0.001)。我们用Cohen's kappa系数评估了完整MNA与MNA-SF在三个营养类别(正常营养状况、营养不良风险、营养不良)分类之间的一致性(BMI-MNA-SF:κ = 0.54,P < 0.001;CC-MNA-SF:κ = 0.52,P < 0.001)。这些值表明与完整MNA有中度一致性。BMI-MNA-SF和CC-MNA-SF之间有非常好的一致性(κ = 0.88,P < 0.001)。为了确定两个MNA-SF识别不需要任何营养干预受试者的能力,我们将完整MNA和MNA-SF的二分分类视为“正常营养状况”与“营养不良和营养不良风险”,以MNA作为金标准的ROC曲线下面积表明预后准确性中等偏高(BMI-MNA-SF:AUC = 0.88,P < 0.001;CC-MNA-SF:AUC = 0.87,P < 0.001)。MNA-SF的两个版本显示出相似的敏感性、特异性和诊断效能(BMI-MNA-SF:73.4%,86.6%,83.5%;CC-MNA-SF:73.4%,86.2%,83.2%)。

结论

MNA-SF的两个版本对完整MNA具有有用的预测能力。CC-MNA-SF的优点是在初级保健中使用它所需的资源和时间较少,尽管始终必须考虑人群特征,以便根据MNA-SF量表做出正确决策。

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