
doi: 10.1007/bf03353425
pmid: 11695498
The Mini Nutritional Assessment (MNA) is a clinical tool designed for assessing nutritional status of elderly patients. Used in preoperative evaluation of ambulatory patients over 60 years of age seen on anesthesia consultation in a previous study, it identified 6.9% patients with overt malnutrition out of a group of 408. However, four-fifths of 291 ASA 1-2 patients were well nourished, and underwent needless, non-contributory and time-consuming test. The MNA-Short Form (MNA-SF) has recently been devised as the first step of a two-step process: if negative, there would be no need to complete "full" MNA. Therefore, the base data of 408 MNA forms completed during the above-mentioned study was used for the purpose of comparing the MNA-SF to the MNA, to test whether the MNA-SF could have been the first step of a two-step nutritional evaluation of anesthesia patients. Median (range) age, and BMI were 72 (60-98) years, and 25.2 (12.8-40.4) kg x m(-2), respectively. There were equal numbers of men and women. In 144 cases, the MNA-SF was found positive (35.3%) with a median MNA of 21.5 (1.5-27) points. The MNA-SF predicted absence of overt malnutrition revealed by the MNA, with 100% sensitivity and negative predictive value (NPV). It was found less efficient for predicting absence of "possible" nutritional problems detected by the MNA (sensitivity 85.6% and NPV 92.8%). However, none of the 19 borderline patients would have had overt malnutrition, being only found "at risk of malnutrition" by the MNA. On the studied sample, the MNA-SF would have correctly sorted out 69.5% of the patients without severe malnutrition. We believe the MNA-SF should be used as the first step of an efficient preoperative nutritional evaluation of ambulatory elderly patients.
Aged, 80 and over, Male, Intraoperative Care, Middle Aged, Nutrition Disorders, Nutrition Assessment, Predictive Value of Tests, Humans, Female, Geriatric Assessment, Aged
Aged, 80 and over, Male, Intraoperative Care, Middle Aged, Nutrition Disorders, Nutrition Assessment, Predictive Value of Tests, Humans, Female, Geriatric Assessment, Aged
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