BACKGROUND: The Mini-Nutritional Assessment (MNA) is a validated assessment instrument for nutritional problems, but its length limits its usefulness for screening. We sought to develop a screening version of this instrument, the MNA-SF, that retains good diagnostic accuracy. METHODS: We reanalyzed data from France that were used to develop the original MNA and combined these with data collected in Spain and New MEXICO: Of the 881 subjects with complete MNA data, 151 were from France, 400 were from Spain, and 330 were from New MEXICO: Independent ratings of clinical nutritional status were available for 142 of the French subjects. Overall, 73.8% were community dwelling, and mean age was 76.4 years. Items were chosen for the MNA-SF on the basis of item correlation with the total MNA score and with clinical nutritional status, internal consistency, reliability, completeness, and ease of administration. RESULTS: After testing multiple versions, we identified an optimal six-item MNA-SF total score ranging from 0 to 14. The cut-point score for MNA-SF was calculated using clinical nutritional status as the gold standard (n = 142) and using the total MNA score (n = 881). The MNA-SF was strongly correlated with the total MNA score (r = .945). Using an MNA-SF score of > or = 11 as normal, sensitivity was 97.9%, specificity was 100%, and diagnostic accuracy was 98.7% for predicting undernutrition. CONCLUSIONS: The MNA-SF can identify persons with undernutrition and can be used in a two-step screening process in which persons, identified as "at risk" on the MNA-SF, would receive additional assessment to confirm the diagnosis and plan interventions.
BACKGROUND: The Mini-Nutritional Assessment (MNA) is a validated assessment instrument for nutritional problems, but its length limits its usefulness for screening. We sought to develop a screening version of this instrument, the MNA-SF, that retains good diagnostic accuracy. METHODS: We reanalyzed data from France that were used to develop the original MNA and combined these with data collected in Spain and New MEXICO: Of the 881 subjects with complete MNA data, 151 were from France, 400 were from Spain, and 330 were from New MEXICO: Independent ratings of clinical nutritional status were available for 142 of the French subjects. Overall, 73.8% were community dwelling, and mean age was 76.4 years. Items were chosen for the MNA-SF on the basis of item correlation with the total MNA score and with clinical nutritional status, internal consistency, reliability, completeness, and ease of administration. RESULTS: After testing multiple versions, we identified an optimal six-item MNA-SF total score ranging from 0 to 14. The cut-point score for MNA-SF was calculated using clinical nutritional status as the gold standard (n = 142) and using the total MNA score (n = 881). The MNA-SF was strongly correlated with the total MNA score (r = .945). Using an MNA-SF score of > or = 11 as normal, sensitivity was 97.9%, specificity was 100%, and diagnostic accuracy was 98.7% for predicting undernutrition. CONCLUSIONS: The MNA-SF can identify persons with undernutrition and can be used in a two-step screening process in which persons, identified as "at risk" on the MNA-SF, would receive additional assessment to confirm the diagnosis and plan interventions.
Authors: Arti Hurria; Ilene S Browner; Harvey Jay Cohen; Crystal S Denlinger; Mollie deShazo; Martine Extermann; Apar Kishor P Ganti; Jimmie C Holland; Holly M Holmes; Mohana B Karlekar; Nancy L Keating; June McKoy; Bruno C Medeiros; Ewa Mrozek; Tracey O'Connor; Stephen H Petersdorf; Hope S Rugo; Rebecca A Silliman; William P Tew; Louise C Walter; Alva B Weir; Tanya Wildes Journal: J Natl Compr Canc Netw Date: 2012-02 Impact factor: 11.908
Authors: K E Charlton; C Nichols; S Bowden; K Lambert; L Barone; M Mason; M Milosavljevic Journal: J Nutr Health Aging Date: 2010-10 Impact factor: 4.075
Authors: Lidvine Godaert; C Godard-Sebillotte; L Allard Saint-Albin; L Bousquet; I Bourdel-Marchasson; J-L Fanon; M Dramé Journal: Qual Life Res Date: 2017-09-01 Impact factor: 4.147
Authors: M Drame; N Jovenin; J L Novella; P O Lang; D Somme; I Laniece; T Voisin; P Blanc; P Couturier; J B Gauvain; F Blanchard; D Jolly Journal: J Nutr Health Aging Date: 2008-10 Impact factor: 4.075