Nutrition Assessment of Older Subjects in a Health Care Center by MNA (Mini Nutritional Assessment)

Elderly people comprise an increasing proportion of the population, and nutritional impairments may contribute to health problems among this group. This study was conducted to evaluate the nutritional status by Mini-Nutritional Assessment (MNA) and to identify relationships among anthropometric measurements, biochemical indicators, bone Mineral Density (BMD) and MNA results among older adults (> or =65 yrs, n=98, 66.7+/-2.5 yrs; M=52, F=46, BMI 24.5+/-2.8 kg/m2) at a Health Care Center. A dietitian administered MNA and collected anthropometric measurements (weight, height, waist circumference), biochemical indicators (albumin, hemoglobin, hematocrit, TLC, glucose, lipids) and the BMD (spine, femur, F=46). Subjects were grouped into a normal nutrition group (0~2 risk factors of malnutrition) and a high risk of malnutrition group (>=3 risk factors of malnutrition) based on their risk factor status for malnutrition. The risk factors for malnutrition include age > or =65 years, PIBW <90%, albumin <3.5 g/dl, TLC <1,500%, Hgb <14 g/dl (men), Hgb <10 g/dl (women), loss of appetite and weight loss 1~3 kg/last 3 months. In addition, subjects were grouped into a normal, osteopenia and osteoporosis group by BMD. We found that 12% of the subjects were at risk of malnutrition (MNA score, 21.4+/-2.1) and that 88% were well nourished (27.3+/-1.5) according to the MNA. Full-MNA scores were positively and significantly (p<0.05) associated with BMI, mid-arm circumference (MAC), calf circumference (CC), albumin and hemoglobin, respectively. The full-MNA score of the high risk of malnutrition group (23.0+/-3.8) was lower than that of the normal nutrition group (27.0+/-2.1) (p<0.05). In addition, the Full-MNA score was negatively associated with the risk factor of malnutrition (r=-0.35, p=0.0004). We found that 39.1% of the subjects had osteoporosis, 45.7% had osteopenia and 15.2% were normal according to their BMD. The MNA score of osteoporosis group (24.58+/-3.3) was lower than that of the normal (27.4+/-1.1) and osteopenia group (26.9+/-1.5) (p<0.05). These results suggested that MNA can be useful as a nutritional screening tool of older adults in Health Care Centers.

Validation of the Developed Nutritional Screening Tool for Hospital Patients

Malnutrition has been associated with higher hospital costs, mortality, rates of complications and longer length of hospital stay. Several nutritional screening tools have been developed to identify patients with malnutrition risk. However, many of those require much time and labor to administer and may not be applicable to a Korean population. Therefore, the aim of this study was to develop nutritional screening tool for Korean inpatients. Then we compare nutritional screening tools that developed and previously described. Seven hundred sixty-four patients at hospital admission were screened nutritional status and classified as well nourished, malnutrition stage 1 or stage 2 by the KNNRS (Kyunghee Neo Nutrition Risk Screening), PG-SGA (Patient-Generated Subjective Global Assessment) and NRS-2002 (Nutritional Risk Screening-2002). The KNNRS, PG-SGA and NRS-2002 respectively classified 28.7%, 51.3%, 48.5% of patients as malnourished status. Compared to the PG-SGA, the KNNRS had sensitivity 60.7% (95% CI 54.2-67.0) and specificity 81.2% (95% CI 75.3-85.2). Agreement was fair between KNNRS and PG-SGA (k = 0.34). Compared to the NRS-2002, the KNNRS had sensitivity 57.8% (95% CI 53.4-60.9) and specificity 64.4% (95% CI 60.2-69.8). Agreement was poor between KNNRS and NRS-2002 (k = 0.18). These result should include that the KNNRS and PGS-GA have clinical relevance and fair concordance. However the rate of malnourished patients by KNNRS were less than by PG-SGA. For more effectivity of nutritional screening and management, the criteria of KNNRS would be better revised.

Application and Efficacy Evaluation of Nutritional Screening Tool

PURPOSE: Malnutrition has been frequently reported for patients on their admission to the hospital and it has been associated with an increase in morbidity, mortality and the length of the hospital stay. Although a number of screening tools have been developed to identify those patients at risk for malnutrition, there is no 'gold standard' for defining malnutrition and the malnourished patients remain largely unrecognized. The aim of this study is to evaluate the efficacy of a nutritional screening tool for use in Dankook University Hospital. METHODS: Nutritional evaluation was performed for 53 patients who were admitted to the department of surgery and internal medicine between October and December 2004. The screening tool was completed by the ward nurse and the nutritional support team nurse on the same patients within 24 hours of admission. The nutritional support team nurse performed the full assessment. The screening sheet included 4 questions regarding body mass index, recent unintentional weight loss, food intake and disease severity. Each answer was scored and a total of 5 was tested as the criterion for malnutrition. The full assessment included current body weight, recent weight loss, triceps skinfold thickness, mid- arm muscle circumference, serum albumin and total lymphocyte count. Malnutrition was defined by 3 or more values below the reference values. The reliability of the screening tool was assessed using kappa statdtatistic. Sensitivity, specificity and accuracy were calculated to evaluate the validity of the screening tool. The receiver operating characteristic (ROC) curve was drawn to choose a cutoff value that maximizes sensitivity and specificity. RESULTS: The level of agreement between the ward nurse and the NST nurse was good for BMI and food intake and moderate for weight loss and disease severity. The full assessment identified 7 patients (13.2%) as malnourished. The screening sheet had a sensitivity of 86% and a specificity of 80%. According to the ROC curve, a score of 5 points provided the best validity. CONCLUSION: The nutritional screening tool is reliable when completed by different observers and it is valid for nutritional assessment.