Nutritional Status Using Mini Nutritional Assessment and Subjective Global Assessment Predict Mortality in Geriatric Patients

Persson, Margareta; Brismar, Kerstin; Katzarski, Krassimir; Nordenström, Jörgen; Cederholm, Tommy

doi:10.1046/j.1532-5415.2002.50611.x

Cited by 257 publications

(198 citation statements)

References 28 publications

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“…The relationship between low BMI and higher mortality may be explained by lower fat free mass in thin individuals rather than overall leanness 28 . Low BMI and weight loss be a proxy for malnutrition, which is common in sick elderly persons 36 . Low BMI and low body cell mass are predictors of higher mortality in nursing home residents 37 , and in hospitalized elderly after discharge 38 .…”

Section: Discussionmentioning

confidence: 99%

Body mass index, dementia, and mortality in the elderly

Luchsinger

Patel²,

Tang

et al. 2008

The Journal of nutrition, health and aging

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Objectives-To explore the association between body mass index and mortality in the elderly taking the diagnosis of dementia into account. Design-Cohort study.Setting-cohort study of aging in Medicare recipients in New York City.Participants-1,452 elderly individuals 65 years and older of both genders.Measurements-We used proportional hazards regression for longitudinal multivariate analyses relating body mass index (BMI) and weight change to all-cause mortality.Results-There were 479 deaths during 9,974 person-years of follow-up. There were 210 cases of prevalent dementia at baseline, and 209 cases of incident dementia during follow-up. Among 1,372 persons with BMI information, the lowest quartile of BMI was associated with a higher mortality risk compared to the second quartile (HR = 1.5; 95% CI: 1.1,2.0) after adjustment for age, gender, education, ethnic group, smoking, cancer, and dementia. When persons with dementia were excluded, both the lowest (HR = 1.9; 95% CI =1.3,2.6) and highest (HR = 1.6; 95% CI : 1.1,2.3) quartiles of BMI were related to higher mortality. Weight loss was related to a higher mortality risk (HR = 1.5; 95% CI: 1.2,1.9) but this association was attenuated when persons with short follow-up or persons with dementia were excluded. Conclusion-The presence of dementia does not explain the association between low BMI and higher mortality in the elderly. However, dementia may explain the association between weight loss and higher mortality.

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Section: Discussionmentioning

confidence: 99%

Body mass index, dementia, and mortality in the elderly

Luchsinger

Patel²,

Tang

et al. 2008

The Journal of nutrition, health and aging

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“…Many patients with osteoporotic hip fractures have previously been found to be undernourished and suffering from proteinenergy malnutrition (PEM) (Ponzer et al, 1999). Osteoporosis is also a predictor of mortality (Johnell et al, 2004) and, likewise, the MNA has been found to predict mortality in geriatric patients both during short-term stays in the hospital (Van Nes et al, 2001) and during a long-term 3-year followup (Persson et al, 2002).…”

Section: Discussionmentioning

confidence: 99%

“…The Mini-Nutritional Assessment (MNA), a test developed to determine the risk of malnutrition in older people (Guigoz et al, 1996), has been employed to detect nutritional deficiencies in institutional settings (Saletti et al, 2000) as well as in healthy general populations (Scheirlinckx et al, 1999). Moreover, this test has been found to predict mortality in geriatric patients (Persson et al, 2002) and in both an elderly Danish population and among free-living elderly Swedish subjects receiving public services and care (Beck et al, 2001;Saletti et al, 2005). In a comparison of ultrasound measurements of the calcaneus with MNA test scores in a population of institutionalized elderly women, Gerber et al (2003) observed no correlation at all between the MNA score and the ultrasound parameter Speed of Sound (SOS) and only a weak trend towards a correlation with the Broadband Ultrasound Attenuation (BUA).…”

Section: Introductionmentioning

confidence: 99%

Nutritional status, as determined by the Mini-Nutritional Assessment, and osteoporosis: a cross-sectional study of an elderly female population

Salminen

Sääf

et al. 2005

Eur J Clin Nutr

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Objective: To investigate the relationship between osteoporosis and nutritional status as determined by the Mini-Nutritional Assessment (MNA). Design: A cross-sectional study. Setting: Stockholm, Sweden. Subjects: A total of 351 elderly free-living women (mean age 7372.3 years). Methods: MNA (range 0-30 points; o17 indicates malnutrition, 17.5-23.5 risk of malnutrition and X24 well nourished), measurements of bone mineral density of the left hip and lumbar spine using Hologic QDR 4500, and of the heel using Calscan DEXA-T. Results: The median MNA score was 27 (range 12.5-30). One woman was classified as malnourished and 7.4% were at risk of malnutrition. Osteoporosis of the femoral neck was observed in 22% and a fracture after the age of 50 was reported by 31% of the participants. The following items in the MNA questionnaire exhibited an increased risk of having osteoporosis in the femoral neck and/or total hip: an MNA score of o27 (odds ratio (OR) ¼ 2.09; CI ¼ 1.14-3.83); a mid-arm circumference of less than 28 cm (OR ¼ 2.97; CI ¼ 1.29-6.81); and regular use of more than 3 drugs each day (OR ¼ 2.12; CI ¼ 1.00-4.50). A body weight of more than 70 kg exhibited a decreased risk of having osteoporosis (OR ¼ 0.31; CI ¼ 0.14-0.70). Conclusions: In general, the nutritional status was good in this population of free-living elderly women. Nevertheless, half of the women who displayed an MNA score o27 points had a twofold increased risk of having osteoporosis.

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“…The patient-generated SGA (PG-SGA) is a further modification of the SGA and has been specifically developed for patients with cancer (Ottery, 1996). The PG-SGA has been used for nutritional assessment in patients with various types of cancer such as cancer of the oesophagus, stomach, pancreas, lung, colorectum, breast and head and neck (Bauer et al, 2002;Persson et al, 2002;Isenring et al, 2003;Ravasco et al, 2003Ravasco et al, , 2005Bauer and Capra, 2005;Desbrow et al, 2005;Horsley et al, 2005;Segura et al, 2005). Bauer et al (2002) compared the scored PG-SGA with the SGA for patients with cancer and suggested the PG-SGA be used for further studies to detect malnutrition in cancer populations.…”

Section: Introductionmentioning

confidence: 99%

Malnutrition among gynaecological cancer patients

et al. 2006

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Objective: To assess the nutritional status of patients with gynaecological cancer. Design: A prospective study assessing the nutritional status of gynaecological patients with suspected or proven gynaecological cancer. Setting: Queensland Centre for Gynaecological Cancer, Brisbane, Australia; a tertiary referral centre for gynaecological cancer. Subjects: One hundred forty-five patients with suspected or proven gynaecological cancer aged 20-91 years. Intervention: Scored patient-generated subjective global assessment (PG-SGA) and serum albumin before treatment. Results: One hundred and sixteen (80%) patients were categorized as PG-SGA class A, 29 (20%) patients were PG-SGA B and none of the patients were PG-SGA C. Ovarian cancer patients had significantly lower serum albumin levels (P ¼ 0.003) and higher PG-SGA scores (Po0.001) than patients with other types of cancer and benign conditions. Sixty-seven per cent of patients with ovarian cancer were classified as PG-SGA B. After adjusting for patient's age, body mass index and albumin level, ovarian cancer patients were 19 times more likely to be categorized as PG-SGA class B compared to patients with benign conditions (95% confidence interval: 3.03-129.8; P ¼ 0.002). Conclusion: Malnutrition in gynaecological cancer patients is a significant problem, especially among those patients diagnosed with ovarian cancer.

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Nutritional Status Using Mini Nutritional Assessment and Subjective Global Assessment Predict Mortality in Geriatric Patients

Cited by 257 publications

References 28 publications

Body mass index, dementia, and mortality in the elderly

Body mass index, dementia, and mortality in the elderly

Nutritional status, as determined by the Mini-Nutritional Assessment, and osteoporosis: a cross-sectional study of an elderly female population

Malnutrition among gynaecological cancer patients

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