首页 | 本学科首页   官方微博 | 高级检索  
检索        


Use of the Mini Nutritional assessment to detect frailty in hospitalised older people
Authors:Elsa Dent  R Visvanathan  C Piantadosi  I Chapman
Institution:1. Department of Medicine, University of Adelaide, Adelaide, Australia
5. Department of Medicine, Ground Floor, The Basil Hetzel Institute for Medical Research, University of Adelaide, 28 Woodville Road, Woodville South, SA, 5011, USA
2. Department of Medicine and the Aged and Extended Care Services, University of Adelaide; The Queen Elizabeth Hospital, Adelaide, Australia
3. Department of Medicine, University of Adelaide, Adelaide, Australia
4. Department of Medicine, University of Adelaide, The Royal Adelaide Hospital, Adelaide, Australia
Abstract:

Objectives

The aims of this study were to: (1) determine the prevalence of undemutrition and frailty in hospitalised elderly patients and (2) evaluate the efficacy of both the Mini-Nutritional Assessment (MNA) screening tool and the MNA short form (MNA-SF) in identifying frailty.

Setting and Participants

A convenient sample of 100 consecutive patients (75.0 % female) admitted to the Geriatric Evaluation and Management Unit (GEMU) at The Queen Elizabeth Hospital in South Australia.

Measurements

Frailty status was determined using Fried??s frailty criteria and nutritional status by the MNA and MNA-SF. Optimal cut-off scores to predict frailty were determined by Youden??s Index, Receiver Operator Curves (ROC) and area under curve (AUC).

Results

Undernutrition was common. Using the MNA, 40.0% of patients were malnourished and 44.0% were at risk of malnutrition. By Fried??s classification, 66.0 % were frail, 30.0 % were pre-frail and 4.0 % robust. The MNA had a specificity of 0.912 and a sensitivity of 0.516 in predicting frailty using the recommended cut-off for malnourishment (< 17). The optimal MNA cut-off for frailty screening was <17.5 with a specificity of 0.912 and sensitivity of 0.591. The MNA-SF predicted frailty with specificity and sensitivity values of 0.794 and 0.636 respectively, using the standard cut-off of < 8. The optimal MNA-SF cut-off score for frailty was < 9, with specificity and sensitivity values of 0.765 and 0.803 respectively and was better than the optimum MNA cut-off in predicting frailty (Youden Index 0.568 vs. 0.503).

Conclusion

The quickly and easily administered MNA-SF appears to be a good tool for predicting both under-nutrition and frailty in elderly hospitalised people. Further studies would show whether the MNA-SF could also detect frailty in other populations of older people.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号