Use of the mini nutritional assessment tool in elderly people from long-term institutions of southeast of Brazil

The Mini Nutritional Assessment tool's applicability for the elderly in Ethiopia: validation study

Background

The Mini Nutrition Assessment (MNA) is a widely used and valid tool for screening and assessment of malnutrition among the elderly population worldwide. However, MNA has not been validated among the Ethiopian elderly population and this study assessed the validity of the tool for the target population.

Methods

Cross-sectional validation study design employed to validate MNA in Meki town, East Ethiopia. This study included 176 randomly selected elders living in the community, whereas amputated, bedridden, visible deformity, known liver and/or renal disorders were excluded. The original MNA questionnaires were translated to local language and administered to each participant after doing the pretest. The anthropometric, self-perception of nutritional status and serum albumin concentrations were measured. Reliability, validity, sensitivity, specificity, Positive Predictive Value (PPV), and Negative Predictive Value (NPV) were calculated. Receiver-operating characteristic (ROC) curve analysis was plotted to identify the area under the curve (AUC) and optimal cut-off value for the prediction of malnutrition.

Result

A total of one hundred and seventy-six elders participated in this study. Of the total participants, 78(44.3%) were males. The mean (SD) age of the participants was 67.6 (±5.8) years and ranged from 60 to 84 years. The prevalence of malnutrition based on the MNA criteria (MNA < 17 points) was 18.2%, and 13.1% based on serum albumin concentration (<3 g/dl).The MNA had an overall Internal consistency of Cronbach's alpha 0.61. The tool also demonstrated significant criterion-related validity (0.75, p < 0.001) and concurrent validity (0.51, p < 0.001) with serum albumin concentration and self-perception of nutritional status respectively. Using the original cut-off point, the sensitivity, specificity, PPV and NPV of the tool were 93.5%, 44.6%, 65.4% and 86.0%, respectively. By modifying, the cut-off point to a value of <20.5, the sensitivity and specificity of the tool increases to 97.6% and 82.8% respectively. The AUC (95%CI) showed an overall accuracy of 92.7% (88.5, 96.9).

Conclusion

The MNA tool can be used as a valid malnutrition screening tool for the Ethiopian elderly population by modifying the original cut-off point.

Nutrition Assessment and Interventions for the Prevention and Treatment of Malnutrition in Older Adults: An Evidence Analysis Center Scoping Review

Older adults living in the community or long-term residence such as a nursing home are at increased risk for malnutrition due to factors such as depression and isolation. The purpose of this scoping review is to identify the best available research that evaluates the validity and reliability of nutrition assessment tools, and the effectiveness of nutrition interventions to prevent or treat malnutrition among older adults. A literature search was conducted in Medline, Embase, CINAHL, and Cochrane Central databases to identify clinical trials, published in the English language, evaluating assessment and intervention methods aimed to treat or prevent malnutrition among older adults living in the community or their long-term residence such as nursing homes. Articles were screened by 2 reviewers, then data were extracted and narratively synthesized. The literature search retrieved 20,937 articles and 197 articles were included in narrative synthesis. A total of 73 assessment articles were identified, 36 of which were validity and reliability trials. A total of 122 intervention articles were identified, the majority of which were randomized controlled trials. A few of the most commonly evaluated interventions were oral nutrition supplements, medical nutrition therapy, fortification and enrichment, and nutrition education. Several systematic reviews were identified, however, that did not meet the criteria of this review. There is a need to conduct systematic reviews for nutrition assessment and intervention trials to guide development of evidence-based nutrition practice recommendations for older adults living in the community or their long-term residence.

Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study

BACKGROUND

The importance of classifying cancer patients into high- or low-risk groups has led many research teams, from the biomedical and bioinformatics fields, to study the application of machine learning (ML) algorithms. The International Society of Geriatric Oncology recommends the use of the comprehensive geriatric assessment (CGA), a multidisciplinary tool to evaluate health domains, for the follow-up of elderly cancer patients. However, no applications of ML have been proposed using CGA to classify elderly cancer patients.

OBJECTIVE

The aim of this study was to propose and develop predictive models, using ML and CGA, to estimate the risk of early death in elderly cancer patients.

METHODS

The ability of ML algorithms to predict early mortality in a cohort involving 608 elderly cancer patients was evaluated. The CGA was conducted during admission by a multidisciplinary team and included the following questionnaires: mini-mental state examination (MMSE), geriatric depression scale-short form, international physical activity questionnaire-short form, timed up and go, Katz index of independence in activities of daily living, Charlson comorbidity index, Karnofsky performance scale (KPS), polypharmacy, and mini nutritional assessment-short form (MNA-SF). The 10-fold cross-validation algorithm was used to evaluate all possible combinations of these questionnaires to estimate the risk of early death, considered when occurring within 6 months of diagnosis, in a variety of ML classifiers, including Naive Bayes (NB), decision tree algorithm J48 (J48), and multilayer perceptron (MLP). On each fold of evaluation, tiebreaking is handled by choosing the smallest set of questionnaires.

RESULTS

It was possible to select CGA questionnaire subsets with high predictive capacity for early death, which were either statistically similar (NB) or higher (J48 and MLP) when compared with the use of all questionnaires investigated. These results show that CGA questionnaire selection can improve accuracy rates and decrease the time spent to evaluate elderly cancer patients.

CONCLUSIONS

A simplified predictive model aiming to estimate the risk of early death in elderly cancer patients is proposed herein, minimally composed by the MNA-SF and KPS. We strongly recommend that these questionnaires be incorporated into regular geriatric assessment of older patients with cancer.

Correlation between malnutrition and health-related quality of life (HRQOL) in elderly Iranian adults

Objectives

We aimed to evaluate the association of nutritional status and health-related quality of life (HRQOL) among elderly Iranian residents.

Methods

We used the 36-item Short Form Health Survey (SF-36) to assess HRQOL among participants with normal nutrition status, at risk of malnutrition, and malnourished.

Results

Mean group scores for the Physical Component Summary (PCS) of the SF-36 were 44, 36.5, and 29.0 for normal, at-risk, and malnourished groups, respectively; for the Mental Component Summary (MCS), these were 47.1, 40.7, and 34.8, respectively. The PCS and MCS displayed significant positive correlation with malnutrition in three models: crude (I); age- and sex-adjusted (II); and adjusted for age, sex, education, occupation, marital status, and residence. Standardized beta coefficients of PCS in Models I–III were 1.35, 1.27, and 1.14, respectively; for MCS, these were 1.11 in all three models; all results were statistically significant. Estimated results of logistic regression were −6.023 for malnourished versus well-nourished and −2.652 for malnourished versus at risk of malnutrition.

Conclusion

Our analyses revealed the crucial impact of nutritional status on both mental and physical components of HRQOL.

Validation (in Spanish) of the Mini Nutritional Assessment survey to assess the nutritional status of patients over 65 years of age

AIM

To validate the Mini Nutritional Assessment (MNA) in a Spanish population over 65 years of age with varying degrees of independence.

DESIGN

This cross-sectional validation study used the Chang nutritional assessment method as a reference test.

PARTICIPANTS

248 subjects (72.2% female), with a mean age of 81.3, completed the study. They were classified into three groups: (i) autonomous patients who were able to take part in activities outside their home; (ii) patients who require help with daily self-care; (iii) patients living in a residential health care facility.

SETTING

Three health centres and three residential care homes situated in Cordoba (Spain).

RESULTS

The kappa values for intra-observer and inter-observer agreement were 0.870 and 0.784, respectively. The intra-class correlation coefficient intra-observer was 0.874 and the inter-observer was 0.789. The sensitivity and specificity readings for the diagnostic accuracy of MNA were 63.2% and 72.9% in the total sample, respectively. The area under the curve was 0.726. For patients in the Group A, B and C, the sensitivity was 89.3%, 60.7% and 18.8%, and the specificity was 23.3%, 56.8% and 94.1%, respectively.

CONCLUSION

The results for the reliability of the survey were excellent, and its internal consistency was acceptable. The diagnostic accuracy, as measured by the sensitivity and specificity readings, was lower than that obtained with the original survey. It can therefore be considered more suitable for a population with limited autonomy, and less appropriate for independent patients. The results may not be relevant to patients outside of the Cordova region in Spain.

Psychometric properties of the Persian version of the nutritional form for the elderly (NUFFE) in nursing home residents

Background: The Nutritional Form for the Elderly (NUFFE) is a newly developed tool. This study aimed to carry out a psychometric evaluation of the Persian version of NUFFE (NUFFE-P) among nursing home residents.

Methods: Nursing home participant’s aged ≥ 60 years (n=97) were enrolled. The inclusion criteria were residency for at least 6 months in the nursing home, and ability to communicate. Exclusion criteria included cognitive impairment, having depressed mood, severe hearing loss, problems in upper and lower extremities also, history of hospital admission during 6 months before enrollment. Anthropometric measures, laboratory tests, three-day food intake, NUFFE-P version, Mini Nutritional Assessment (MNA), Barthel Index (BI) and Geriatric Depression Scale (GDS-15) were assessed. The relationship between the NUFFE-P and MNA scores was considered as concurrent validity.

Results: The Cronbach’s alpha coefficient of NUFFE-P tool was 0.76. The intraclass correlation coefficient for the total score between two raters obtained 0.98 (CI 0.97-0.99). The correlation coefficient between the NUFFE-P and the MNA scores was -0.75 (p<0.01). Four factors were extracted for the NUFFE-P in an exploratory factor analyses. Sensitivity 69.8% and 100% and specificity 75.7% and 85.6% were achieved to detect elderly at medium risk (cutoff=6), and at high risk of under-nutrition (cutoff=11) respectively.

Conclusion: The NUFFE-P has sufficient psychometric properties in nutritional status screening among the Iranian elderly nursing homes residents.

Speaking the same language: Development of a Nutrition Minimum Data Set for healthcare professionals in primary healthcare

Providing the best possible nutritional care requires accurate and precise communication between healthcare professionals. Developing a Nutrition Minimum Data Set will inform professionals in primary healthcare of which core elements should be documented and facilitate a standardized approach to the documentation of nutritional care. A two-step methodological approach was utilized in this study: (1) a systematic scoping review was conducted to map evidence underpinning the development of a Minimum Data Set and (2) the datasources were categorized using the inductive content analysis approach. A total of 32 items were identified in the datasources. Five categories were inductively derived from the data: (1) physiologic measurements, (2) ability to eat, (3) intake, (4) stress factors and (5) factors which indirectly affect intake and needs. Organizing the documentation following the structure presented in this Minimum Data Set will contribute to a standardized terminology, which may lead to increased quality of documentation, increased continuity of care and improved health outcomes.

A systematic review of malnutrition screening tools for the nursing home setting

RATIONALE

Malnutrition screening among nursing home residents is often performed with tools developed for use among older subjects, and sometimes with tools designed for an adult population. Only a few tools have been designed specifically for the nursing home setting. This systematic review assesses the criterion and predictive validity of malnutrition screening tools used in nursing homes.

METHODS

The databases MEDLINE, CINAHL, and EMBASE were searched on January 30, 2013, for manuscripts including search terms for malnutrition, screening or assessment tools, and setting. Articles were eligible for inclusion if they expressed criterion validity (how well can a tool assess nutritional status) or predictive validity (how well can a tool predict clinical outcome) of malnutrition screening tools in a nursing home population. Included were articles that had been published in the English, German, French, Dutch, Spanish, or Portuguese language.

RESULTS

The search yielded 8313 references. Of these, 24 met the inclusion criteria and were available; 2 extra manuscripts were retrieved by reference checking. Twenty tools were identified. Seventeen studies reported on criterion validity, and 9 on predictive validity. Four of the tools had been designed specifically for use in long term care. None of the tools, not even the ones specifically designed for the nursing home setting, performed (on average) better than "fair" in either assessing the residents' nutritional status or in predicting malnutrition-related outcomes.

CONCLUSION

The use of existing screening tools for the nursing home population carries limitations, as none performs better than "fair" in assessing nutritional status or in predicting outcome. Also, no superior tool can be pointed out. This systematic review implies that further considerations regarding malnutrition screening among nursing home residents are required.

Agreement between body mass index, calf circumference, arm circumference, habitual energy intake and the MNA in hospitalized elderly

OBJECTIVES

This study aimed to assess the agreement between body mass index, calf circumference, arm circumference, habitual energy intake and the mini nutritional assessment (MNA) and then assess the accuracy of these parameters in relation to the MNA.

METHOD

The nutritional status of 132 hospitalized elderly was assessed with the MNA, body mass index (BMI), calf circumference (CC) and arm circumference (AC). Their habitual energy intake (HEI) was also determined. The chi-square and the Mann-Whitney tests were used. The agreement between the nutritional risk criteria and the MNA was determined by the Kappa coefficient. The ROC curve was used to determine the accuracy of the parameters in relation to the MNA and to determine the cut-off values. The significance level was set at 5% (p<0.05).

RESULTS

A little more than half the sample (54.5%) was well nourished, 34.9% were at risk of malnutrition and 10.6% were malnourished. There was good agreement only for BMI<22 (Kappa=0.44), with an accuracy (AUC) of 0.78. No agreement was found for the other parameters, their sensitivities were shown to be low. However, CC and AC were very specific for determining the well nourished patients: the CC specificity was 86.1% and AC specificity was 94.4%. The cut-off values determined by the ROC curve were ≤23.2 for BMI, ≤26.2 for AC and ≤32.2 for CC.

CONCLUSION

The best parameters to determine nutritional risk in relation to the MNA were AC, BMI and CC. However, these nutritional assessment parameters should be used to replace the MNA for the assessment of hospitalized elderly patients with their current cut-off points.

Mini nutritional assessment

PURPOSE OF REVIEW

To summarize recent evidences and advances on the implementation and the use of the Mini Nutritional Assessment (MNA).

RECENT FINDINGS

Despite being introduced and validated for clinical use about 20 years ago, the MNA has recently received new attention in order to more widely disseminate among healthcare professionals the practice of a systematic nutritional screening and assessment of the old patient. Particularly, the structure has been implemented to face the difficulties in having the patients contributing to the assessment and to reduce further the time required to complete the evaluation. Recent data also confirm that in older populations prevalence of malnutrition by this tool is associated with the level of dependence. The rationale of nutritional assessment is to identify patients candidate to nutritional support. However, the sensitivity of the MNA is still debated because it has been associated with a high-risk 'overdiagnosis' and the advantages of a positive screening need to be assessed both in terms of outcome and money saving.

SUMMARY

The MNA is a simple and highly sensitive tool for nutritional screening and assessment. The large mass of data collected and the diffusion among healthcare professionals clearly support its use. However, the cost-effectiveness of interventions based on its scoring deserves investigation.

Anthropometric parameters of nutritional assessment as predictive factors of the Mini Nutritional Assessment (MNA) of hospitalized elderly patients

OBJECTIVE

The objective of this study was to identify nutritional indicators that predict MNA (mini nutritional assessment) classification in hospitalized elderly patients.

METHOD

This cross-sectional study assessed the nutritional status of 109 elderly patients at the beginning of their hospital stay with anthropometric and laboratory indicators and the MNA. Habitual energy intake (HEI) was also determined. The assessed nutritional indicators were investigated by univariate and multivariate logistic regression analysis to verify if they can predict MNA classification. The odds ratio (OR) and its respective confidence interval (CI) of 95% were also calculated, and the significance level was set at 5% (p < 0.05).

RESULTS

The nutritional status of most patients (61.47%) was appropriate but 30.28% were at risk of malnourishment and 8.26% were malnourished. Statistical differences were found for those aged more than 70 years and for arm circumference, body mass index, calf circumference, triceps skinfold thickness and mid-arm muscle circumference. Initially, the predictive factors identified by univariate logistic regression were body mass index (BMI) (p=0.0001; OR=0.825), calf circumference (CC) (p=0.0026; OR=0.832), arm circumference (AC) (p < 0.0001; OR=0.787), triceps skinfold thickness (TST) (p=0.0014; OR=0.920) and mid-arm muscle circumference (MAMC) (p=0.0003; OR=0.975); later, multiple logistic regression analyses revealed that first AC (p=0.0025; OR=0.731 (0.597 - 0.895)), then BMI (p= < 0.0001; OR=10.909 (3.298 - 36.085)) and finally TST (p=0.0040; OR=0.924 (0.876 - 0.975)) and MAMC (p=0.0010; OR=0.976 (0.962 - 0.990)) were factors that predict MNA classification.

CONCLUSION

In the conditions of this study, first AC, then BMI and finally TST and MAMC together were capable of predicting MNA classification.

Nutritional status and functional capacity of hospitalized elderly

Background

The nutritional status of the aging individual results from a complex interaction between personal and environmental factors. A disease influences and is influenced by the nutritional status and the functional capacity of the individual. We asses the relationship between nutritional status and indicators of functional capacity among recently hospitalized elderly in a general hospital.

Methods

A cross-sectional study was done with 240 elderly (women, n = 127 and men, n = 113) hospitalized in a hospital that provides care for the public and private healthcare systems. The nutritional status was classified by the MNA (Mini Nutritional Assessment) into: malnourished, risk of malnutrition and without malnutrition (adequate). The functional autonomy indicators were obtained by the self-reported Instrumental Activity of Daily Living (IADL) and Activity of Daily Living (ADL) questionnaire. The chi-square test was used to compare the proportions and the level of significance was 5%.

Results

Among the assessed elderly, 33.8% were classified as adequate regarding nutritional status; 37.1% were classified as being at risk of malnutrition and 29.1% were classified as malnourished. All the IADL and ADL variables assessed were significantly more deteriorated among the malnourished individuals. Among the ADL variables, eating partial (42.9%) or complete (12.9%) dependence was found in more than half of the malnourished elderly, in 13.4% of those at risk of malnutrition and in 2.5% of those without malnutrition.

Conclusion

There is an interrelationship between the nutritional status of the elderly and reduced functional capacity.