Nutritional Risk by Mini Nutritional Assessment (MNA), but not Anthropometric Measurements, has a Good Discriminatory Power for Identifying Frailty in Elderly People: Data from Brazilian Secondary Care Clinic

Objectives To investigate, in elderly individuals registered at a secondary outpatient clinic, the prevalence of frailty and pre-frailty and to identify the discriminatory power of anthropometric measurements and nutritional risk in identifying these conditions. Design Cross-sectional study with dat...

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Veröffentlicht in:The Journal of nutrition, health & aging health & aging, 2019-02, Vol.23 (2), p.217-220
Hauptverfasser: Zukeran, Mariana Staut, Ritti-Dias, R. M., Franco, F. G. M., Cendoroglo, M. S., de Matos, L. D. N., Lima Ribeiro, S. M.
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Sprache:eng
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Zusammenfassung:Objectives To investigate, in elderly individuals registered at a secondary outpatient clinic, the prevalence of frailty and pre-frailty and to identify the discriminatory power of anthropometric measurements and nutritional risk in identifying these conditions. Design Cross-sectional study with data extracted from medical records. Setting and participants Elderly patients (60+ years) from a geriatric outpatient clinic, located in the southeast area of São Paulo, Brazil. Measurements Frailty was assessed using five criteria proposed by Fried et al (2001), with some modifications. Nutritional risk was identified using Mini Nutritional Assessment (MNA). Body weight and body height were measured and used to calculate the body mass index (BMI). The discriminatory power of these parameters for the identification of frailty was determined by Receiver Operating Characteristics (ROC) curves Results The final sample was composed of 254 patients, from which 31.1% were identified as frail and 53.5% as prefrail. The MNA indicated that 3.1% were malnourished and 35.4% were at risk of malnutrition. The BMI values 39.4% as overweight/obese and 19.9% as undernourished. As just the MNA revealed differences for frailty classification, only this parameter was investigated by ROC curve. The discriminatory power of the MNA for frailty presented a best cut-off point of ≤23.0 and the AUC was 0.812 (sensitivity=55.7; specificity=94.9), with a youden index of 0.5057 (95%CI= 0.3146-0.5946). MNA did not present sufficient discriminatory power to detect pre-frailty. Conclusion The MNA was capable of indicating frailty, but not pre-frailty in this sample. BMI did not display significant predictive power for frailty or prefrailty.
ISSN:1279-7707
1760-4788
DOI:10.1007/s12603-018-1128-z