A review of the validity of malnutrition screening tools used in older adults in community and healthcare settings - A MaNuEL study

The association between the 'at risk of developing undernutrition' category of the Short Nutritional Assessment Questionnaire 65+ and incident undernutrition in community-dwelling older adults

BACKGROUND & AIMS

Screening tools like the Short Nutritional Assessment Questionnaire 65+ (SNAQ65+) have been developed for the early recognition of undernutrition in older adults. The SNAQ65+ screens for being undernourished (red), being 'at risk of developing undernutrition' (i.e. 'at risk', orange), or 'not at risk' (green). This study investigated whether community-dwelling older adults 'at risk' (orange) are more likely to develop undernutrition during a 3-year follow-up compared to those 'not at risk' (green).

METHODS

Prospective data from a Longitudinal Aging Study were used. A total of 5461 observations, using multiple 3-year waves of participants aged ≥65 years with an orange or green baseline score were included. Logistic mixed models were used to assess the association with four indicators of incident undernutrition at 3-year follow-up: (1) red SNAQ65+ score (mid upper arm circumference (MUAC) < 25 cm and/or ≥4 kg self-reported unintended weight loss in 6 months); (2) MUAC <25 cm; (3) ≥4 kg self-reported unintended weight loss in 6 months; and (4) ≥10% objectively measured weight loss in 3 years.

RESULTS

There were 53.1% female participants across waves, with a mean age of 74.2 (SD 6.1) years. Overall, 6.2% were 'at risk of developing undernutrition' (orange) at baseline. The incidence rates of undernutrition based on a red SNAQ65+ score, MUAC <25 cm, ≥4 kg self-reported unintended weight loss, and ≥10% measured weight loss were 10.4%, 2.9%, 6.4%, and 5.4%, respectively. Those 'at risk' (orange) had a higher odds ratio of incident undernutrition based on these four indicators than those 'not at risk' (green) (respective odds ratio's: 2.51 (95%CI 1.74-3.62); 2.16 (95%CI 1.11-4.20); 2.43 (95%CI 1.61-3.65); and 2.08 (95%CI 1.28-3.37)).

CONCLUSION

Community-dwelling older adults screened to be 'at risk of developing undernutrition' (orange) with the SNAQ65+ have a more than two-fold higher odds ratio of developing undernutrition during a 3-year follow-up compared to those 'not at risk' (green).

Adherence to the Mediterranean Diet Mitigates Inflammation and Hospital Stay in Frail Elderly Patients: A Moderation Analysis

Understanding the interaction between dietary patterns and nutritional status in influencing health outcomes is crucial, especially in vulnerable populations. Our study investigates the impact of adherence to the Mediterranean diet (MD) and nutritional status on inflammatory markers (CRP) and the length of stay (LOS) in hospitalized frail elderly patients.

METHODS

We conducted two-way ANOVA and multiple regression analysis to evaluate the effects of nutritional status and MD adherence on the CRP levels and LOS in a cohort of 117 frail elderly patients aged 65 years or older. Patients with cancer or acute infection were excluded. Adherence to the MD was assessed using the 14-item PREDIMED questionnaire.

RESULTS

Significant interactions were found between nutritional status and MD adherence for both the CRP and LOS. The patients with low-level MD adherence and a poor nutritional status exhibited higher CRP levels and longer hospital stays compared to those with high MD adherence. Specifically, a statistically significant interaction was observed for the CRP (F (1, 113) = 7.36, p = 0.008) and LOS (F (1, 113) = 15.4, p < 0.001), indicating the protective effect of high-level MD adherence. Moderation analysis confirmed that high-level MD adherence mitigates the adverse effects of malnutrition on both the inflammatory response and LOS.

CONCLUSIONS

These findings highlight the importance of promoting the MD, particularly in malnourished elderly patients, to improve health outcomes and reduce hospitalization duration. Further longitudinal studies are warranted to establish causality and explore the underlying mechanisms.

Advancing the Understanding of Malnutrition in the Elderly Population: Current Insights and Future Directions

Malnutrition is a growing public health problem leading to increased morbidity and mortality worldwide. Up to 50% of elderly patients are hospitalized due to this condition. In this review, we focused on analyzing the current diagnostic criteria for malnutrition among the elderly population and proposing promising solutions. Currently used diagnostic methods such as BMI or serum albumin levels are not sufficient to indicate malnutrition, which is affected by many factors, including the number of chronic diseases, multiple medications taken, or physical condition. Moreover, current recommendations are inadequate because they fail to account for various factors such as chronic illnesses, multiple medications, and bodily changes that are crucial in diagnostic evaluations. There is a noticeable gap between these recommendations and actual clinical practice. Nevertheless, developing more precise, non-invasive biomarkers and personalized nutrition strategies has to be explored. One of these strategies we discuss in our review is multidisciplinary approaches that combine nutrition, physical activity, and psychosocial support. Addressing malnutrition among the elderly should rely on standardized protocols and personalized interventions to enhance their nutritional health and overall well-being.

Nutritional status of the older adults in nursing homes: A cross-sectional study

AIM AND OBJECTIVES

To investigate the nutritional status of older adults in nursing homes in Chongqing, China, compare and analyse the differences in the physical condition, cognitive function and social-related factors of older adults with different nutritional statuses.

BACKGROUND

Malnurtition in the older people has become a priority concer, and the incidence and factors associated with malnutrition vary somewhat by healthcare setting. In Chongqing ,China, there is lack of research on malnutrition of the older people in nursing homes. Here, we investigated the incidence of malnutrition and analysed the associated factors.

DESIGN

A cross-sectional study.

METHODS

From January to April 2023, a cross-sectional survey was conducted in three nursing homes in Chongqing, China. Participants completed a series of questionnaires, including the Demographic Information Questionnaire which included age, gender, education level, previous occupation, marital status and other information. The survey also included validated non-demographic instruments [Short-Form Mini-Nutritional Assessment (MNA-SF), Barthel Index (BI) and Mini-mental State Examination (MMSE)] to identify related impact factors. The Guidelines for cross-sectional studies were used in this study (Data S1).

RESULTS

209 older adults aged 60 and over participated in this study, of whom 121 were women and 88 were men. The average (SD) age of the participants was 84.7 (6.3) years. Of the participants, 46.4% were classified as well nourished. About 39.2% were at risk of malnutrition and 14.4% were malnourished. Compared to those who were well nourished, those who were malnourished or at risk of becoming malnourished were more likely to suffer from comorbidities, polypharmacy, a higher risk of falling, ADL dependence and to receive more nutritional interventions. However, there are no significant differences after adjustment for age, education level, previous occupation, marital status, length of stay, and type of health care payment.

CONCLUSION

Malnutrition is a common problem among older adults innursing homes in Chongqing, China. There are certain differences in physical conditions and nutritional interventions among older adults withdifferent nutritional status.

PUBLIC CONTRIBUTION

This study suggests that the problem of malnutrition is very prominent in nursing homes in Chongqing, China. Cognitive impairment, impaired activities of daily living, fall risk and nutritional intervention need to be prevalent in older adults with (risk of) malnutrition.

Time‑dependent ROC curve analysis to determine the predictive capacity of seven clinical scales for mortality in patients with COVID‑19: Study of a hospital cohort with very high mortality

Clinical data from hospital admissions are typically utilized to determine the prognostic capacity of Coronavirus disease 2019 (COVID-19) indices. However, as disease status and severity markers evolve over time, time-dependent receiver operating characteristic (ROC) curve analysis becomes more appropriate. The present analysis assessed predictive power for death at various time points throughout patient hospitalization. In a cohort study involving 515 hospitalized patients (General Hospital Number 1 of Mexican Social Security Institute, Colima, Mexico from February 2021 to December 2022) with COVID-19, seven severity indices [Pneumonia Severity Index (PSI) PaO2/FiO2 arterial oxygen pressure/fraction of inspired oxygen (Kirby index), the Critical Illness Risk Score (COVID-GRAM), the National Early Warning Score 2 (NEWS-2), the quick Sequential Organ Failure Assessment score (qSOFA), the Fibrosis-4 index (FIB-4) and the Viral Pneumonia Mortality Score (MuLBSTA were evaluated using time-dependent ROC curves. Clinical data were collected at admission and at 2, 4, 6 and 8 days into hospitalization. The study calculated the area under the curve (AUC), sensitivity, specificity, and predictive values for each index at these time points. Mortality was 43.9%. Throughout all time points, NEWS-2 demonstrated the highest predictive power for mortality, as indicated by its AUC values. PSI and COVID-GRAM followed, with predictive power increasing as hospitalization duration progressed. Additionally, NEWS-2 exhibited the highest sensitivity (>96% in all periods) but showed low specificity, which increased from 22.9% at admission to 58.1% by day 8. PSI displayed good predictive capacity from admission to day 6 and excellent predictive power at day 8 and its sensitivity remained >80% throughout all periods, with moderate specificity (70.6-77.3%). COVID-GRAM demonstrated good predictive capacity across all periods, with high sensitivity (84.2-87.3%) but low-to-moderate specificity (61.5-67.6%). The qSOFA index initially had poor predictive power upon admission but improved after 4 days. FIB-4 had a statistically significant predictive capacity in all periods (P=0.001), but with limited clinical value (AUC, 0.639-0.698), and with low sensitivity and specificity. MuLBSTA and IKIRBY exhibited low predictive power at admission and no power after 6 days. In conclusion, in COVID-19 patients with high mortality rates, NEWS-2 and PSI consistently exhibited predictive power for death during hospital stay, with PSI demonstrating the best balance between sensitivity and specificity.

Nutritional risk and adverse health outcomes in Chinese community-dwelling older adults: A study based on the Elderly Nutritional Indicators for Geriatric Malnutrition Assessment (ENIGMA)

OBJECTIVES

Malnutrition and nutritional risk are risk factors for many adverse health outcomes in older adults, but they have rarely been assessed in China. The aim of this study was to evaluate the availability of Elderly Nutritional Indicators for Geriatric Malnutrition Assessment (ENIGMA), a nutritional scale originally developed to predict mortality, in assessing nutritional risks and predicting adverse health outcomes in Chinese community-dwelling older adults.

METHODS

This was a population-based longitudinal cohort study (Chinese Longitudinal Healthy Longevity Survey), with a 4-y follow-up of 2063 community-dwelling adults aged 65 y or older. Nutritional risks were assessed via the use of ENIGMA and Geriatric Nutritional Risk Index (GNRI) at baseline (the 2014 wave). Cognitive impairment, functional limitation, and frailty were evaluated using the Chinese version of the Mini-Mental State Examination, Instrumental Activities of Daily Living/Instrumental Activities of Daily Living scale, and Frailty Index, respectively, at baseline and 4-y follow-up (the 2018 wave). Mortality was measured by survival status and duration of exposure to death from baseline to follow-up. The associations of nutritional risks with prevalent/incident cognitive impairment, functional limitation and frailty, and 4-y mortality were estimated using logistic regression and Cox proportional hazards regression models, adjusting for confounders. The discriminatory accuracy of ENIGMA and GNRI for these adverse health outcomes were compared by receiver operating characteristic analyses.

RESULTS

According to ENIGMA, 48.6% of the Chinese community-dwelling older adults (age: 86.5±11.3 y) showed moderate and high nutritional risk. Nutritional risks defined by the ENIGMA were significantly associated with increased prevalence and incidence of cognitive impairment, functional limitation, and frailty (odds ratio ranging from 1.79 to 89.6, values ranging from P < 0.001 to 0.048) but were mostly insignificant for that defined by GNRI. With respect to 4-y mortality, nutritional risks as defined by GNRI showed better prediction effects than those defined by ENIGMA. Receiver operating characteristic analyses indicated that nutritional risks defined by ENIGMA had better discriminatory accuracy than those defined by GNRI for prevalent and incident cognitive impairment (C = 0.73 vs 0.64, P < 0.001; C = 0.65 vs 0.59, P = 0.015, respectively), functional limitation (C = 0.74 vs 0.63, P < 0.001 at baseline; C = 0.61 vs 0.56, P = 0.016 at follow-up), frailty (C = 0.85 vs 0.67, P < 0.001 at baseline; C = 0.64 vs 0.55, P < 0.001 at follow-up), and even 4-y mortality (C = 0.68 vs 0.64, P = 0.020).

CONCLUSIONS

ENIGMA could serve as a nutritional risk screening tool that has a robust role in predicting cognitive impairment, functional limitation, and frailty in Chinese community-dwelling older adults. It may be recommended for early nutritional risk screening and has the potential to guide early nutritional intervention in communities and primary care settings in China.

Validity of nutrition screening tools for risk of malnutrition among hospitalized adult patients: A systematic review and meta-analysis

BACKGROUNDS & AIMS

Malnutrition is prevalent among hospitalized patients in developed countries, contributing to negative health outcomes and increased healthcare costs. Timely identification and management of malnutrition are crucial. The lack of a universally accepted definition and standardized diagnostic criteria for malnutrition has led to the development of various screening tools, each with varying validity. This complicates early identification of malnutrition, hindering effective intervention strategies. This systematic review and meta-analysis aimed to identify the most valid and reliable nutritional screening tool for assessing the risk of malnutrition in hospitalized adults.

METHODS

A systematic literature search was conducted to identify validation studies published from inception to November 2023, in the Pubmed/MEDLINE, Embase, and CINAHL databases. This systematic review was registered in INPLASY (INPLASY202090028). The risk of bias and quality of included studies were assessed using the Quality Assessment of Diagnostic Accuracy Studies version 2 (QUADAS-2). Meta-analyses were performed for screening tools accuracy using the symmetric hierarchical summary receiver operative characteristics models.

RESULTS

Of the 1646 articles retrieved, 60 met the inclusion criteria and were included in the systematic review, and 21 were included in the meta-analysis. A total of 51 malnutrition risk screening tools and 9 reference standards were identified. The meta-analyses assessed four common malnutrition risk screening tools against two reference standards (Subjective Global Assessment [SGA] and European Society for Clinical Nutrition and Metabolism [ESPEN] criteria). The Malnutrition Universal Screening Tool (MUST) vs SGA had a sensitivity (95% Confidence Interval) of 0.84 (0.73-0.91), and specificity of 0.85 (0.75-0.91). The MUST vs ESPEN had a sensitivity of 0.97 (0.53-0.99) and specificity of 0.80 (0.50-0.94). The Malnutrition Screening Tool (MST) vs SGA had a sensitivity of 0.81 (0.67-0.90) and specificity of 0.79 (0.72-0.74). The Mini Nutritional Assessment-Short Form (MNA-SF) vs ESPEN had a sensitivity of 0.99 (0.41-0.99) and specificity of 0.60 (0.45-0.73). The Nutrition Universal Screening Tool-2002 (NRS-2002) vs SGA had a sensitivity of 0.76 (0.58-0.87) and specificity of 0.86 (0.76-0.93).

CONCLUSIONS

The MUST demonstrated high accuracy in detecting malnutrition risk in hospitalized adults. However, the quality of the studies included varied greatly, possibly introducing bias in the results. Future research should compare tools within a specific patient population using a valid and universal gold standard to ensure improved patient care and outcomes.

Effectiveness of Global Leadership Initiative on Malnutrition and Subjective Global Assessment for diagnosing malnutrition and predicting wound healing in patients with diabetic foot ulcers

Malnutrition significantly hampers wound healing processes. This study aimed to compare the effectiveness of the Global Leadership Initiative on Malnutrition (GLIM) and Subjective Global Assessment (SGA) in diagnosing malnutrition and predicting wound healing in patients with diabetic foot ulcers (DFU). GLIM criteria were evaluated for sensitivity (SE), specificity (SP), positive predictive value, negative predictive value and kappa (κ) against SGA as the reference. Modified Poisson regression model and the DeLong test investigated the association between malnutrition and non-healing ulcers over 6 months. This retrospective cohort study included 398 patients with DFU, with a mean age of 66·3 ± 11·9 years. According to SGA and GLIM criteria, malnutrition rates were 50·8 % and 42·7 %, respectively. GLIM criteria showed a SE of 67·3 % (95 % CI 60·4 %, 73·7 %) and SP of 82·7 % (95 % CI 76·6 %, 87·7 %) in identifying malnutrition, with a positive predictive value of 80·0 % and a negative predictive value of 71·1 % (κ = 0·50) compared with SGA. Multivariate analysis demonstrated that malnutrition, as assessed by SGA, was an independent risk factor for non-healing (relative risk (RR) 1·84, 95 % CI 1·45, 2·34), whereas GLIM criteria were associated with poorer ulcer healing in patients with estimated glomerular filtration rate ≥ 60 ml/min/1·73m2 (RR: 1·46, 95 % CI 1·10, 1·94). SGA demonstrated a superior area under the receiver's operating characteristic curve for predicting non-healing compared with GLIM criteria (0·70 (0·65-0·75) v. 0·63 (0·58-0·65), P < 0·01). These findings suggest that both nutritional assessment tools effectively identify patients with DFU at increased risk, with SGA showing superior performance in predicting non-healing ulcers.

Comparison of the prognostic value of eight nutrition-related tools in older patients with cancer: A prospective study

OBJECTIVES

The primary objective of the present study was to evaluate and compare the ability of eight nutrition-related tools to predict 1-year mortality in older patients with cancer.

DESIGN, SETTING AND PARTICIPANTS

We studied older patients with cancer from the ELCAPA cohort and who had been referred for a geriatric assessment at one of 14 participating geriatric oncology clinics in the greater Paris area of France between 2007 and 2018.

MEASUREMENTS

The studied nutrition-related tools/markers were the body mass index (BMI), weight loss (WL) in the previous 6 months, the Mini Nutritional Assessment, the Geriatric Nutritional Risk Index (GNRI), the Prognostic Nutritional Index, the Glasgow Prognostic Score (GPS), the modified GPS, and the C-reactive protein/albumin ratio.

RESULTS

A total of 1361 patients (median age: 81; males: 51%; metastatic cancer: 49%) were included in the analysis. Most of the tools showed a progressively increase in the mortality risk as the nutrition-related risk category worsened (overall p-values <0.02 for all) after adjustment for age, outpatient status, functional status, severe comorbidities, cognition, mood, cancer treatment strategy, tumour site, and tumour metastasis. All the models were discriminant, with a C-index ranging from 0.748 (for the BMI) to 0.762 (for the GPS). The concordance probability estimate ranged from 0.764 (WL) to 0.773 (GNRI and GPS)).

CONCLUSION

After adjustment for relevant prognostic factors, all eight nutrition-related tools/markers were independently associated with 1-year mortality in older patients with cancer. Depending on the time or context of the GA, physicians do not always have the time or means to perform and assess all the tools/markers compared here. However, even when some information is missing, each nutritional tool/marker has prognostic value and can be used in the evaluation.

Malnutrition prevalence according to GLIM and its feasibility in geriatric patients: a prospective cross-sectional study

PURPOSE

In 2019, the Global Leadership Initiative on Malnutrition (GLIM) suggested a 2-step diagnostic format for malnutrition including screening and diagnosis. Prospective validation and feasibility studies, using the complete set of the five GLIM criteria, are needed. The aims of this study were to determine the prevalence of malnutrition, and investigate how the prevalence varied with mode of screening. Furthermore, we assessed the feasibility of GLIM in geriatric patients.

METHODS

Consecutive patients from two acute geriatric wards were included. For screening risk of malnutrition, the Mini Nutritional Assessment-Short Form (MNA-SF) or Malnutrition Screening Tool (MST) were used. In accordance with GLIM, a combination of phenotypic and etiologic criteria were required for the diagnosis of malnutrition. Feasibility was determined based on % data completeness, and above 80% completeness was considered feasible.

RESULTS

One hundred patients (mean age 82 years, 58% women) were included. After screening with MNA-SF malnutrition was confirmed by GLIM in 51%, as compared with 35% after screening with MST (p = 0.039). Corresponding prevalence was 58% with no prior screening. Using hand grip strength as a supportive measure for reduced muscle mass, 69% of the patients were malnourished. Feasibility varied between 70 and 100% for the different GLIM criteria, with calf circumference as a proxy for reduced muscle mass having the lowest feasibility.

CONCLUSION

In acute geriatric patients, the prevalence of malnutrition according to GLIM varied depending on the screening tool used. In this setting, GLIM appears feasible, besides for the criterion of reduced muscle mass.

Association between Controlling Nutritional Status (CONUT) Score and Body Composition, Inflammation and Frailty in Hospitalized Elderly Patients

The Controlling Nutritional Status (CONUT) score has demonstrated its ability to identify patients with poor nutritional status and predict various clinical outcomes. Our objective was to assess the association between the CONUT score, inflammatory status, and body composition, as well as its ability to identify patients at risk of frailty in hospitalized elderly patients.

METHODS

a total of 361 patients were retrospectively recruited and divided into three groups based on the CONUT score.

RESULTS

patients with a score ≥5 exhibited significantly higher levels of inflammatory markers, such as erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), Neutrophil/Lymphocytes ratio (NLR), main platelet volume (MPV), and ferritin, compared to those with a lower score. Furthermore, these patients showed unfavorable changes in body composition, including a lower percentage of skeletal muscle mass (MM) and fat-free mass (FFM) and a higher percentage of fatty mass (FM). A positive correlation was found between the CONUT score and inflammatory markers, Geriatric Depression Scale Short Form (GDS-SF), and FM. Conversely, the Mini Nutritional Assessment (MNA), Mini-Mental Status Examination, activity daily living (ADL), instrumental activity daily living (IADL), Barthel index, FFM, and MM showed a negative correlation. Frailty was highly prevalent among patients with a higher CONUT score. The receiver operating characteristic (ROC) curve demonstrated high accuracy in identifying frail patients (sensitivity).

CONCLUSIONS

a high CONUT score is associated with a pro-inflammatory status as well as with unfavorable body composition. Additionally, it is a good tool to identify frailty among hospitalized elderly patients.

Predictive Value of Nutritional Risk for All-Cause Death and Functional Outcomes in Chinese Elderly Patients with Acute Stroke: A 3-Year Follow-Up Study

Purpose

To explore the predictive value of nutritional risk for all-cause death and functional outcomes among elderly acute stroke patients.

Patients and Methods

A total of 479 elderly acute stroke patients were enrolled in this study. The nutritional risk of patients was screened by the GNRI and NRS-2002. The primary outcome was all-cause death, and the secondary outcome was poor prognosis defined as a modified Rankin Scale (mRS) score ≥3.

Results

Based on the NRS-2002, patients with nutritional risk had a higher risk of all-cause death at 3 months (adjusted OR: 3.642, 95% CI 1.046~12.689) and at 3 years (adjusted OR: 2.266, 95% CI 1.259~4.076) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 2.748, 95% CI 1.518~4.972. Based on the GNRI, compared to those without nutritional risk, patients with mild malnutrition also had a higher risk of all-cause death at 3 months (adjusted OR: 7.186, 95% CI 1.550~33.315) and at 3 years (adjusted OR: 2.255, 95% CI 1.211~4.199) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 1.947, 95% CI 1.030~3.680), so patients with moderate and severe malnutrition had a higher risk of all-cause death at 3 months (adjusted OR: 6.535, 95% CI 1.380~30.945) and at 3 years (adjusted OR: 2.498, 95% CI 1.301~4.799) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 2.213, 95% CI 1.144~4.279).

Conclusion

Nutritional risk increases the risk of poor short-term and long-term outcomes in elderly patients with acute stroke. For elderly stroke patients, we should pay attention to early nutritional risk screening, and effective intervention should be provided to improve the prognosis of such patients.

Measures for Identifying Malnutrition in Geriatric Rehabilitation: A Scoping Review

Malnutrition is a common condition in geriatric rehabilitation settings; however, the accuracy and predictive validity of the measures to identify malnutrition have not been established. The current scoping review followed the Joanna Briggs Institute's evidence synthesis manual and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews checklist. Literature published through September 2023 was searched using MEDLINE and CINAHL. The inclusion criteria selected studies reporting malnutrition measures, which include static body weight and weight loss. Identified tools were classified as nutritional screening tools, nutritional assessment tools, or diagnostic criteria. The domains of each tool/criterion and their accuracy and predictive validity were extracted. Fifty-six articles fulfilled the inclusion criteria, and six nutritional screening tools, three nutritional assessment tools, and three diagnostic criteria for malnutrition were identified. These measures consisted of various phenotypes, e.g., weight loss, causes such as inflammation/disease, and risk factors of malnutrition, e.g., functional impairment. The predictive validity of nutritional screening tools (n = 6) and malnutrition diagnostic criteria (n = 5) were inconsistently reported, whereas those for nutritional assessment tools were scarce (n = 1). These findings highlight the need to distinguish the functional impairment of nutritional origin from that of non-nutritional origin in nutritional assessment procedures, and the need to study the accuracy and the predictive validity of these measures in geriatric rehabilitation patients.

Cholesterol-modified prognostic nutritional index (CPNI) as an effective tool for assessing the nutrition status and predicting survival in patients with breast cancer

BACKGROUND

Malnutrition is associated with poor overall survival (OS) in breast cancer patients; however, the most predictive nutritional indicators for the prognosis of patients with breast cancer are not well-established. This study aimed to compare the predictive effects of common nutritional indicators on OS and to refine existing nutritional indicators, thereby identifying a more effective nutritional evaluation indicator for predicting the prognosis in breast cancer patients.

METHODS

This prospective study analyzed data from 776 breast cancer patients enrolled in the "Investigation on Nutritional Status and its Clinical Outcome of Common Cancers" (INSCOC) project, which was conducted in 40 hospitals in China. We used the time-dependent receiver operating characteristic curve (ROC), Kaplan-Meier survival curve, and Cox regression analysis to evaluate the predictive effects of several nutritional assessments. These assessments included the patient-generated subjective nutrition assessment (PGSGA), the global leadership initiative on malnutrition (GLIM), the controlling nutritional status (CONUT), the nutritional risk index (NRI), and the prognostic nutritional index (PNI). Utilizing machine learning, these nutritional indicators were screened through single-factor analysis, and relatively important variables were selected to modify the PNI. The modified PNI, termed the cholesterol-modified prognostic nutritional index (CPNI), was evaluated for its predictive effect on the prognosis of patients.

RESULTS

Among the nutritional assessments (including PGSGA, GLIM, CONUT, NRI, and PNI), PNI showed the highest predictive ability for patient prognosis (time-dependent ROC = 0.58). CPNI, which evolved from PNI, emerged as the superior nutritional index for OS in breast cancer patients, with the time-dependent ROC of 0.65. It also acted as an independent risk factor for mortality (p < 0.05). Moreover, the risk of malnutrition and mortality was observed to increase gradually among both premenopausal and postmenopausal age women, as well as among women categorized as non-overweight, overweight, and obese.

CONCLUSIONS

The CPNI proves to be an effective nutritional assessment tool for predicting the prognosis of patients with breast cancer.

Malnutrition Screening Tools Are Not Sensitive Enough to Identify Older Hospital Patients with Malnutrition

This study evaluates the concurrent validity of five malnutrition screening tools to identify older hospitalized patients against the Global Leadership Initiative on Malnutrition (GLIM) diagnostic criteria as limited evidence is available. The screening tools Short Nutritional Assessment Questionnaire (SNAQ), Malnutrition Universal Screening Tool (MUST), Malnutrition Screening Tool (MST), Mini Nutritional Assessment-Short Form (MNA-SF), and the Patient-Generated Subjective Global Assessment-Short Form (PG-SGA-SF) with cut-offs for both malnutrition (conservative) and moderate malnutrition or risk of malnutrition (liberal) were used. The concurrent validity was determined by the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the level of agreement by Cohen's kappa. In total, 356 patients were included in the analyses (median age 70 y (IQR 63-77); 54% male). The prevalence of malnutrition according to the GLIM criteria without prior screening was 42%. The conservative cut-offs showed a low-to-moderate sensitivity (32-68%) and moderate-to-high specificity (61-98%). The PPV and NPV ranged from 59 to 94% and 67-86%, respectively. The Cohen's kappa showed poor agreement (k = 0.21-0.59). The liberal cut-offs displayed a moderate-to-high sensitivity (66-89%) and a low-to-high specificity (46-95%). The agreement was fair to good (k = 0.33-0.75). The currently used screening tools vary in their capacity to identify hospitalized older patients with malnutrition. The screening process in the GLIM framework requires further consideration.

[Development and validation of standards for quality units of health centers]

OBJECTIVE

In Spain, the Quality Units advise health centres, services and professionals on the methodology of continuous improvement of the quality of care. A system based on good practice standards could provide these units with a tool to improve their results and value their work. The objective was to develop, agree on and validate standards, to properly guide and orient the functions, results and continuous improvement of the Quality Units in health centers.

MATERIAL AND METHODS

A qualitative-quantitative, prospective and cross-sectional study was carried out, applying the Metaplan method, the e-Delphi technique and a simulation study. The participants were coordinators of these units, belonging to 14 Spanish Autonomous Communities and distributed in four experts' panels. They agreed on the standards to be used and evaluated the different types of validity.

RESULTS

The 204 standards proposed by the scientific committee were reduced to 157 with Metaplan, to 110 with e-Delphi, and to 96 with the committee's final review (87.3% consensus, content validity). The construct validity showed a Cronbach's alpha >0.7 (P<.001); the validity of content was reaffirmed in the simulation workshop (80% "understood" each other, P<.001; and there was "documentary evidence" in 84%, P<.001); face validity was accepted (75% "related to quality dimensions", P<.001); and the validity of the criteria was verified with a sensitivity of 84.2%, a specificity of 98.3%, and a kappa index of 0.84.

CONCLUSIONS

Valid standards have been developed for Quality Units in health centers.

Nutrition Care after Hospital Discharge in Singapore: Evidence-Based Best-Practice Recommendations

The nutritional status of hospitalised patients is often at risk or compromised and predisposed to further deterioration after discharge, leading to poor clinical outcomes, high healthcare costs, and poor quality of life. This paper aims to provide evidence-based best-practice recommendations to address this, supported by a national survey of healthcare professionals in Singapore and reviewed by a multidisciplinary expert panel under the Sarcopenia Interest Group of Society of Parenteral and Enteral Nutrition Singapore (SingSPEN). We advocate screening all patients with a validated tool which includes a disease activity/burden component, an easily accessible dietitian referral pathway for patients at risk of malnutrition, and an individualised nutrition care plan formulated and delivered using a multidisciplinary team approach for patients at risk or with malnutrition. A comprehensive team would include not only dietitians but also physicians, nurses, physiotherapists, speech therapists, and medical social workers working together towards a common goal. Information on why nutrition is important for good health and how it can be achieved should also be provided to all patients and their caregivers before and after hospital discharge. With the above recommendations, we seek to improve upon the current nutrition care processes at discharge for healthcare institutions in Singapore.

GeriKit: A novel app for comprehensive geriatric assessment

Given the growth of the older adult population in the United States, there is a greater need for tools to enable students, trainees, and clinicians to master the comprehensive geriatric assessment. Our goal was to develop a mobile phone application (app) to assist in performing this assessment. We performed a market survey of 45 apps that related to geriatrics and health screening. We evaluated for usability, target audience, and instruments used. Deficiencies included: (1) focusing on a single domain; (2) being time-intensive; and (3) having components behind a paywall. We then designed an app that incorporates instruments that are well-validated, available at no cost, and brief in length. GeriKit includes eight domains: cognition, depression, function, strength, medications, falls, and advance care planning. Each instrument requires fewer than 5 minutes, and once it is completed and scored, the user can access relevant educational materials. GeriKit was launched for Apple users in December 2020, and for Android in August 2021. There have been over 3,400 downloads to date. The GeriKit app makes the comprehensive geriatric assessment accessible to a wide audience, improving the ability to for learners to perform geriatric assessments.

Global Leadership Initiative on Malnutrition criteria for the diagnosis of malnutrition and prediction of mortality in patients awaiting liver transplant: A validation study

OBJECTIVES

The Global Leadership Initiative on Malnutrition (GLIM) is a framework aiming to standardize malnutrition diagnosis. However, it still needs to be validated, in particular for patients with chronic liver disease. This study aimed to validate the GLIM criteria in patients with liver cirrhosis awaiting liver transplant (LTx).

METHODS

This was a retrospective observational study carried out with adult patients on the waiting list for LTx, consecutively evaluated between 2006 and 2021. The phenotypic criteria were unintentional weight loss, low body mass index, and reduced muscle mass (midarm muscle circumference [MAMC]). The etiologic criteria were high Model for End-Stage Liver Disease (MELD) and MELD adjusted for serum sodium (MELD-Na) scores, the Child-Pugh score, low serum albumin, and low food intake and/or assimilation. Forty-three GLIM combinations were tested. Sensitivity (SE), specificity (SP), positive and negative predictive values, and machine learning (ML) techniques were used. Survival analysis with Cox regression was carried out.

RESULTS

A total of 419 patients with advanced liver cirrhosis were included (median age, 52.0 y [46-59 y]; 69.2% male; 68.8% malnourished according to the Subjective Global Assessment [SGA]). The prevalence of malnutrition by the GLIM criteria ranged from 3.1% to 58.2%, and five combinations had SE or SP >80%. The MAMC as a phenotypic criterion with MELD and MELD-Na as etiologic criteria were predictors of mortality. The MAMC and the presence of any phenotypic criteria associated with liver disease parameters and low food intake or assimilation were associated with malnutrition prediction in ML analysis.

CONCLUSIONS

The MAMC and liver disease parameters were associated with malnutrition diagnosis by SGA and were also predictors of 1-y mortality in patients with liver cirrhosis awaiting LTx.

Research is still limited on nutrition and quality of life among older adults

Introduction

Globally, the number of older adults is growing exponentially. Yet, while living longer, people are not necessarily healthier. Nutrition can positively impact healthy aging and quality of life (QoL). Two decades ago, nutrition and diet were rarely viewed as key QoL domains, were not part of QoL screening, and QoL studies frequently used unvalidated tools. It is unclear how the nutrition and QoL research area may have since evolved.

Methods

A scoping review was conducted in Pubmed of research with community-living older adults (aged ≥65) from developed economies that included 1 of 29 common, valid QoL instruments, nutrition indices, and was published between 1/2000-12/2022. The review followed published methodology guidance and used the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) flow diagram to document identified studies and record number of included/excluded studies (based on scoping review's pre-specified criteria).

Results

Of 258 studies identified initially, 37 fully met scoping review inclusion criteria; only 2 were QoL studies, 30 focused on nutrition, 3 on measurement tool validation/testing, and 2 were other study types. Most studies (n = 32) were among populations outside of North America; majority were conducted in Europe (n = 22) where the EuroQol 5 Dimension (Eq5D) was used in >1/2 the studies. Of 5 North American studies, the 36-Item Short Form Survey (SF-36) was most frequently used (n = 4). Myriad nutrition indices described various aspects of eating, dietary intake, and nutrition status, making comparability between studies difficult. Studies included several different nutrition questionnaires; Mini Nutritional Assessment (MNA) (n = 8) or Mini Nutritional Assessment Short Form (MNA-SF) (n = 5) were used most frequently. The most frequent anthropometric measure reported was Body Mass Index (BMI) (n = 28). Nutrition-related biochemical indices were reported infrequently (n = 8).

Discussion

The paucity of studies over the last two decades suggests research on nutrition and QoL among community-living older adults remains underdeveloped. Valid QoL instruments and nutrition indices are now available. To ensure greater comparability among studies it is important to develop consensus on core indices of QoL and particularly nutrition. Greater agreement on these indices will advance further research to support healthy aging and improve QoL for community-dwelling older adults.

Mini nutritional assessment-short form test: criterion and predictive validity in older adults from a long-term care unity

Introduction

Introduction: the Mini Nutritional Assessment Short-Form test (MNA-SF) is valid for malnutrition screening and diagnosis of older adults, but few studies evaluated if it predicts hospital length of stay (LOS) and were conducted in long-term care units. Objective: this study aims to evaluate the criterion and predictive validity of MNA-SF. Methods: a prospective observational study was conducted in older adults from a long-term care unity. MNA Long Form test (MNA-LF) and MNA-SF were applied, at admission and at discharge. Percentage of agreement, kappa and intra-class correlation coefficients (ICC) were determined. Sensitivity and specificity of MNA-SF were calculated. The independent association of MNA-SF with LOS (adjustment for Charlson index, sex, age, education) was assessed by Cox regression analysis [results presented as hazard ratio (HR) and 95 % confidence intervals (CI)]. Results: this sample is composed of 109 older adults (62.4 % women), aged 66-102 years. According to MNA-SF at admission, 7.3 % of participants presented normal nutrition status, 55.1 % were at risk of malnutrition and 37.6 % were malnourished. Agreement, kappa and ICC were 83.5 %, 0.692 and 0.768 at admission, and 80.9 %, 0.649 and 0.752 at discharge. MNA-SF sensitivities were 96.7 % at admission and 92.9 % at discharge; specificities were 88.9 % and 89.5 %, at admission and at discharge. According to MNA-SF at discharge, being at risk of malnutrition (HR = 0.170, 95 % CI: 0.055-0.528) or malnourished (HR = 0.059, 95 % CI: 0.016-0.223) lowered the odds of being discharged to home or to usual residence. Conclusions: a high agreement was found between MNA-LF and MNA-SF. MNA-SF revealed high sensitivities and specificities. An independent association was found between risk of malnutrition or malnutrition by MNA-SF and LOS. The use of MNA-SF instead of MNA-LF should be considered in long-term care units given its criterion and predictive validity.

Predictive Value of Malnutrition, Identified via Different Nutritional Screening or Assessment Tools, for Functional Outcomes in Patients with Stroke: A Systematic Review and Meta-Analysis

BACKGROUND

Malnutrition affects more than half of patients with stroke. Although malnutrition leads to more deaths, a longer hospital stay, and higher costs, there is still a lack of consensus regarding the impact of malnutrition on physical functional outcomes in patients with stroke, and there are large differences in the diagnostic effects of nutritional screening or assessment tools for malnutrition. This study aimed to explore the impact of malnutrition in patients with stroke and assess the significance of current nutritional screening and assessment tools for these patients.

METHODS

Six databases were systematically searched until October 2022. Cohort studies meeting the eligibility criteria were included. Pooled effects were calculated using random-effects models.

RESULTS

Twenty-six studies with 21,115 participants were included. The pooled effects of malnutrition on poor functional outcome, FIM points, and dysphagia were OR = 2.72 (95% CI = 1.84-4.06), WMD = -19.42(95% CI = -32.87--5.96), and OR = 2.80 (95% CI = 1.67-4.67), respectively.

CONCLUSION

Malnutrition adversely affects the recovery of physical and swallowing functions in patients with stroke. Nutritional assessments consistently predict the outcomes of physical function in patients with stroke.

Predictive value of multiple variable models including nutritional risk score (NRS 2002) on mortality and length of stay of patients with covid-19 infections. The INCOVO study

BACKGROUND AND AIMS

This study aimed at evaluating associations between nutritional status and outcomes in patients with Covid-19 and to identify statistical models including nutritional parameters associated with in-hospital mortality and length of stay.

METHODS

Data of 5707 adult patients hospitalized in the University Hospital of Lausanne between March 2020 and March 2021 were screened retrospectively 920 patients (35% female) with confirmed Covid-19 and complete data including nutritional risk score (NRS 2002), were included. This cohort was divided into three subgroups: NRS <3: no risk of malnutrition; NRS ≥3 to <5: moderate risk malnutrition; and NRS ≥5: severe risk of malnutrition. The primary outcome was the percentage of in-hospital deaths in the different NRS subgroups. The secondary outcomes were the length of hospital stay (LOS), the percentage of admissions to intensive care units (ICU), and the length of stay in the ICU (ILOS). Logistic regression was performed to identify risk factors associated with in-hospital mortality and hospital stay. Multivariate clinical-biological models were developed to study predictions of mortality and very long length of stay.

RESULTS

The mean age of the cohort was 69.7 years. The death rate was 4 times higher in the subgroup with a NRS ≥ 5 (44%), and 3 times higher with a NRS ≥ 3 to <5 (33%) compared to the patients with a NRS<3 (10%) (p < 0.001). LOS was significantly higher in the NRS ≥ 5 and NRS ≥ 3 to <5 subgroups (26.0 days; CI [21; 30.9]; and 24.9; CI [22.5; 27.1] respectively) versus 13.4; CI [12; 14.8] for NRS<3 (p < 0.001). The mean ILOS was significantly higher in the NRS ≥ 5 (5.9 days; versus 2.8 for NRS ≥ 3 to <5, and 1.58 for NRS<3 (p < 0.001)). In logistic regression, NRS ≥ 3 was significantly associated with the risk of mortality (OR: 4.8; CI [3.3; 7.1]; p < 0.001) and very long in-hospital stay (>12 days) (OR: 2.5; CI [1.9; 3.3]; p < 0.001). Statistical models that included a NRS ≥ 3 and albumin revealed to be strong predictors for mortality and LOS (area under the curve 0.800 and 0.715).

CONCLUSION

NRS was found to be an independent risk factor for in-hospital death and LOS in hospitalized Covid-19 patients. Patients with a NRS ≥ 5 had a significant increase in ILOS and mortality. Statistical models including NRS are strong predictors for an increased risk of death and LOS.

Comparison of concurrent validity of different malnutrition screening tools with the Global Leadership Initiative on Malnutrition (GLIM) among stroke survivors in Malaysia

Individuals with stroke are at high malnutrition risk in both the acute and chronic phases. This study aimed to assess the validity of different malnutrition screening tools for stroke patients in rehabilitation phase. Participants in this study were 304 stroke patients from three hospitals in the East-Coast region of Peninsular Malaysia from May-August 2019. The concurrent validity of the Malnutrition Risk Screening Tool-Hospital (MRST-H), Mini Nutritional Assessment-Short Form (MNA-SF), Malnutrition Screening Tool (MST), Malnutrition Universal Screening (MUST) and Nutritional Risk Screening (NRS-2002) was assessed with the diagnostic criteria for malnutrition proposed by the Global Leadership Initiative on Malnutrition (GLIM-DCM). Sensitivity, specificity, positive predictive value, negative predictive value, and the area under the curve were computed. MUST and MRST-H demonstrated good validity regardless of different age groups (> 80% sensitivity and specificity); meanwhile, MST and MNA-SF had fair validity, yet NRS-2002 had poor to fair validity with GLIM-DCM. Only MRST-H and NRS-2002 were significantly correlated with all anthropometric indices, dietary energy intake, and health-related quality of life in both age groups. In conclusion, MRST-H and MUST showed good concurrent validity with GLIM-DCM and can be considered as appropriate malnutrition screening tool in discriminating malnutrition among stroke individuals attending rehabilitation centre in Malaysia regardless of their age groups.

Malnutrition in older adults

Malnutrition is a highly prevalent condition in older adults, and poses a substantial burden on health, social, and aged-care systems. Older adults are vulnerable to malnutrition due to age-related physiological decline, reduced access to nutritious food, and comorbidity. Clinical guidelines recommend routine screening for malnutrition in all older adults, together with nutritional assessment and individually tailored nutritional support for older adults with a positive screening test. Nutritional support includes offering individualised nutritional advice and counselling; oral nutritional supplements; fortified foods; and enteral or parenteral nutrition as required. However, in clinical practice, the incorporation of nutritional guidelines is inadequate and low-value care is commonplace. This Review discusses the current evidence on identification and treatment of malnutrition in older adults, identifies gaps between evidence and practice in clinical care, and offers practical strategies to translate evidence-based knowledge into improved nutritional care. We also provide an overview of the prevalence, causes, and risk factors of malnutrition in older adults across health-care settings.

Systematic Review and Meta-Analysis: Malnutrition and In-Hospital Death in Adults Hospitalized with COVID-19

BACKGROUND

Malnutrition and increased malnutrition risk are frequently identified in hospitalized adults. The increase in hospitalization rates during the COVID-19 pandemic was accompanied by the documentation of adverse hospitalization outcomes in the presence of certain co-morbidities, including obesity and type 2 diabetes. It was not clear whether the presence of malnutrition increased in-hospital death in patients hospitalized with COVID-19.

OBJECTIVES

To estimate the effect of malnutrition on in-hospital mortality in adults hospitalized with COVID-19; and secondarily, to estimate the prevalence of malnutrition in adults hospitalized with malnutrition during the COVID-19 pandemic.

METHODS

EMBASE, MEDLINE, PubMed, Google Scholar, and Cochrane Collaboration databases were queried using the search terms malnutrition and COVID-19 and hospitalized adults and mortality. Studies were reviewed using the 14-question Quality Assessment Tool for Studies with Diverse Designs (QATSDD) (questions appropriate for quantitative studies). Author names; date of publication; country; sample size; malnutrition prevalence; malnutrition screening/diagnostic method; number of deaths in malnourished patients; and number of deaths in adequately nourished patients were extracted. Data were analyzed using MedCalc software v20.210 (Ostend, Belgium). The Q and I² tests were calculated; a forest plot was generated, and the pooled odds ratio (OR) with 95% confidence intervals (95%CI) were calculated using the random effects model.

RESULTS

Of the 90 studies identified, 12 were finally included in the meta-analysis. In the random effects model, malnutrition or increased malnutrition risk increased odds of in-hospital death by more than three-fold: OR 3.43 (95% CI 2.549-4.60), p < 0.001. The pooled prevalence estimate for malnutrition or increased malnutrition risk was 52.61% (95% CI 29.50-75.14%).

DISCUSSION AND CONCLUSIONS

It is clear that malnutrition is an ominous prognostic sign in patients hospitalized with COVID. This meta-analysis, which included studies from nine countries on four continents with data from 354,332 patients, is generalizable.

Correlation between nutritional status screening by MNA-SF and acute stroke-associated infections in older adults

PURPOSE

This study aimed to explore the correlation between nutritional status screening using the MNA-SF and stroke-associated infections (SAI) in older adults.

METHODS

A retrospective study of patients aged over 70 years with acute stroke was conducted. The patients were divided into normal nutritional status, malnutrition risk, and malnutrition groups depending on their baseline MNA-SF scores. The correlation between nutritional status and SAI was identified using multivariate logistic regression. The receiver operating characteristic (ROC) curve was used to demonstrate the predicted value of MNA-SF.

RESULTS

497 patients were included, 101 (20.32%) developed SAI. 32.29% of patients with malnutrition developed SAI, while 25.14% of those with malnutrition risk developed SAI. Malnutrition (aOR 4.58, 95% CI 2.34-8.96, p < 0.001) and risk of malnutrition (aOR 3.70, 95%CI 2.01-6.85, p < 0.001) were independent risk factors for SAI in older stroke patients. The area under the curve (AUC) value of MNA-SF was 0.713.

CONCLUSION

MNA-SF is a simple and effective nutritional screening tool for predicting the occurrence of SAI in older patients with acute stroke.

Nutrition Risk Is Associated with 3-Year Strength and Performance Indicators among Older Adults in the Canadian Longitudinal Study on Aging

OBJECTIVES

Determine if nutrition risk, as measured by SCREEN-8 is predictive of 3-year strength and performance indicators among community-living older adults after adjusting for key demographic and health variables. Sex-stratified analyses were also determined.

DESIGN

Cohort study with baseline and 3-year follow-up data from the Canadian Longitudinal Study on Aging (CLSA).

PARTICIPANTS

Participants 55 years and older at baseline were included (n = 22,502); those who reported nasogastric or abdominal tube feeding at either timepoint were excluded (n = 26). The final sample of participants available for analyses slightly varied depending on completion of the three outcome variables. List-wise deletion was used for nutrition risk and covariates to arrive at the sample available for analysis (n = 17,250).

MEASUREMENTS

The valid and reliable SCREEN-8 tool was used to measure nutrition risk. The minimum and maximum score of SCREEN-8 is 0 and 48, respectively, with lower scores indicating greater nutrition risk. Baseline SCREEN-8 score was used in analyses. Grip strength, chair rise test time and gait speed assessed at the 3-year follow-up were the strength and performance outcomes. Criteria outlined by the European Working Group on Sarcopenia in Older People 2 were used to determine low performance for grip strength (<27 kg for males and <16 kg for females), chair rise test time (>15 seconds) and gait speed (≤0.8 m/s).

RESULTS

Half of participants were female (49.4%) and mean age was 66.7 years (SD 7.9). Mean SCREEN-8 score was 39.2 (SD 6.0). Low grip strength, chair rise test performance and gait speed were found in 18.5%, 19.6% and 29.3% of participants, respectively. After adjusting for covariates (e.g., sex, age, education), SCREEN-8 score was significantly associated with grip strength (F = 11.21, p = .001; OR = 0.98, CI [0.97, 0.99]), chair rise time (F = 5.97, p = .015; OR = 0.99, CI [0.97, 0.997]), and gait speed (F = 9.99, p = .002; OR = 0.98, CI [0.97, 0.99]). Similar interpretation was seen in sex-stratified analyses, although chair rise time was not significant. Age, body mass index, Life Space Index Score and self-rated health were consistently associated with all outcome measures.

CONCLUSION

Nutrition risk, as measured by SCREEN-8, significantly predicted 3-year strength and performance measures. Greater nutrition risk is associated with an increased odds of low performance on grip strength, chair rise test, and gait speed. Future research should implement nutrition risk screening in primary care settings with subsequent assessment and treatment for at risk clients to determine if nutrition interventions implemented post screening can delay age-related losses in strength and performance.

Comparing the validity of anthropometric measurements in identifying malnutrition status of older age people in Borena district, North Central Ethiopia: a cross_sectional study

Background

Malnutrition among older age people is becoming significantly higher in spite of improvements in the health care system. Life expectancy of Ethiopian elders is increasing; but reliable and valid tools for screening and diagnosis of malnutrition in this subgroup are limited. This study aimed to assess the validity of anthropometric measurements: Mid Upper Arm Circumference (MUAC), Body Mass Index (BMI), and Calf Circumference (CC) in detecting malnutrition status of older age people in Ethiopia.

Methods

A community based cross-sectional study was conducted in Borena District from January to March, 2020. A total of 421 participants aged were systematically included in the study. To test reliability and validity of the measurements,Cronbach’s α coefficient and Pearson’s correlations were used, respectively. The full Mini-Nutritional Assessment (MNA) tool was used to diagnosis malnutrition. Overall accuracy, sensitivity and specificity of BMI, MUAC and CC were estimated using Receiver Operating Characteristic curves. The Youden Index was used to determine the best cut-off point.

Results

The reliability of BMI, MUAC and CC by Cronbach’s alpha was found 0.847. Significant positive correlations between MNA, BMI(r = 0.56, p < 0.01); MNA, MUAC(r = 0.43, p < 0.01; and MNA, CC(r = 0.52, p < 0.01) revealed. The area under the curve (AUC) of BMI, MUAC and CC were found: 0.98(95% CI, 0.96–0.99, p < 0.001), 0.94(95% CI, 0.89–0.98, p < 0.001) and 0.96(95% CI, 0.94–0.98, p < 0.001) indicating the overall accuracy respectively. The sensitivity and specificity of BMI, MUAC and CC using established cut off points were found: 90%, 96%; 78%, 94% and 84%, 95% respectively. However, using the Youden index the best cut-off point, the sensitivity and specificity of MUAC and CC were 88%, 86%; 92% and 89% respectively and adjusted for age and sex.

Conclusions

The current study demonstrated that BMI was a reliable and valid method to identify the malnutrition status of older age people. A MUAC value of 19 cm and CC of 30 cm were simple and efficient cut-off points for the determination of malnutrition in the older age people. A future study is needed to validate the validity of BMI, MUAC and CC against biochemical tests as gold standard.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03467-9.

Preliminary Evidence on the Effectiveness of a Multidisciplinary Nutritional Support for Older People with Femur Fracture at an Orthogeriatric Unit in Spain

To describe the nutritional and functional changes that occurred in older patients with a femur fracture following a dietary intervention and oral nutritional support implemented at an orthogeriatric unit in Aragon, Spain. Open-label, prospective study. Patients were consecutively recruited and arranged into three groups based on their CONtrolling NUTritional (CONUT^®) score and nutritional needs. Nutritional status was assessed while in hospital, and at 45-, 100- and 180-days post-hospital discharge. One hundred and sixty-nine patients [mean age: 86 years (SD ± 5.48)] were recruited (July 2017 to January 2020). At admission, 53.3% were at risk of malnutrition; 26.6% were malnourished; 20.1% were well-nourished. Variable proportions of malnourished patients at admission were well-nourished 45-, 100-, and 180-days post-discharge. CONUT^® and Barthel index correlations showed that as nutritional status enhanced, patients gained functionality. Dietary interventions and nutritional support may help restoring the nutritional and functional status of older patients with a femur fracture.

Validation of GLIM criteria on malnutrition in older Chinese inpatients

Objective

Malnutrition is a nutritional disorder and common syndrome that has a high incidence and is easily ignored in hospitalized older patients. It can lead to multiple poor prognoses, such as frailty. Early identification and correct evaluation of possible malnutrition and frailty are essential to improve clinical outcomes in older patients. Therefore, our objective was to explore the applicability and effectiveness of the Global Leadership Initiative on Malnutrition (GLIM) criteria for identifying malnutrition in older patients.

Methods

In total, 223 participants aged ≥60 years were involved. Nutrition was evaluated using the Mini Nutritional Assessment-Full Form (MNA-FF) and GLIM criteria, which adopt a two-step procedure. The first step was to use three different methods for the screening of nutritional risk: the Nutrition Risk Screening 2002, the Mini Nutritional Assessment Short Form (MNA-SF), and the Malnutrition Universal Screening Tool. The second step was to link a combination of at least one phenotypical criterion and one etiological criterion to diagnose malnutrition. The Clinical Frailty Scale was used to assess frailty. Sensitivity, specificity, Youden index, kappa values, and positive and negative predictive values were used to evaluate the validity of the GLIM criteria. Logistic regression models were used to assess whether there was a correlation between malnutrition, as defined by the GLIM criteria, and frailty.

Results

We found that 32.3–49.8% of our patient sample were at risk of malnutrition based on the GLIM diagnosis and using the three different screening tools; 19.3–27.8% of the patients were malnourished. GLIM criteria with MNA-SF as a diagnostic validation and MNA-FF as a reference showed high consistency (K = 0.629; p &lt; 0.001), sensitivity (90.5%), and specificity (86.4%). Logistic regression analysis showed that malnutrition, using MNA-SF with the GLIM criteria, was relevant for a higher likelihood of frailty (OR = 1.887; 95% CI 1.184–2.589).

Conclusions

The incidence of GLIM-defined malnutrition was 19.3–27.8% using different screening tools. The consistency between the GLIM criteria using the MNA-SF and the MNA methods was high. Malnutrition, as diagnosed by the GLIM criteria with MNA-SF, was significantly correlated with frailty. GLIM criteria with MNA-SF may be a more reliable malnutrition assessment process in older inpatients.

Nutritional risk and its relationship with physical function in community-dwelling older adults

BACKGROUND

Malnutrition is a serious concern in older populations. Simple screening approaches are needed to identify signs of early nutritional risk in older people, to allow intervention before overt malnutrition develops, along with the poorer health outcomes associated with it, such as sarcopaenia and frailty. The main aim of this study was to compare nutrition risk scores, calculated from the DETERMINE Checklist ('Determine Your Nutritional Health', also known as the Nutrition Screening Initiative Checklist), with physical function variables in a group of community-dwelling older adults. Another aim was to assess the prevalence of nutrition risk using the DETERMINE and the MUST (Malnutrition Universal Screening Tool).

METHODS

Participants of the Hertfordshire Cohort Study (HCS) were recruited and visited at home by a trained researcher. Self-reported physical function was assessed using the SF-36 PF (Short Form-36 Physical Function) scale. The Short Physical Performance Battery (SPPB) was performed, which included the assessment of gait speed, chair rise time and standing balance. Handgrip strength was measured using a Jamar dynamometer. Frailty was assessed according to the presence of at least three of the following Fried frailty criteria: unintentional weight loss, weakness, self-reported exhaustion, slow gait speed and low physical activity. Nutrition risk scores were calculated from the DETERMINE checklist (range 0-21). Nutritional risk was also assessed using the MUST. Analyses were adjusted for sex, age, age left education and number of comorbidities.

RESULTS

In the study, 176 participants (94 men and 82 women), median age 83.3 (IQR 81.5-85.7) years, were assessed. Almost half (47%) scored either 'moderate' (score 3-5) or 'high' (score ≥ 6) nutritional risk (9% were at high risk), using the DETERMINE checklist, whereas 8% were at risk using the MUST. Higher nutrition risk scores, calculated from DETERMINE, were associated with poorer self-reported physical function (difference in SF-36 PF score: - 0.36, 95% CI (- 0.60, - 0.12) SD per unit increase in nutrition risk score, P = 0.004) and higher odds of being frail (odds ratio Fried frailty: 2.23, 95% CI (1.15, 4.33), P = 0.017). There were no significant associations between DETERMINE nutrition risk scores and the other variables examined.

CONCLUSION

Cross-sectional associations between higher nutrition risk scores, assessed from the DETERMINE checklist, and poorer self-reported physical function and greater likelihood of frailty suggest that this screening tool may have utility for screening older populations. Prospective studies are required to explore the ability of the tool to predict poor physical function and frailty, though these data suggest it has potential for early, simple detection of nutritional problems in community-living older adults.

The Elderly Nutritional Index for Geriatric Malnutrition Assessment (ENIGMA): concurrent, construct and predictive validity in an external evaluation cohort of community-dwelling older persons

We previously developed a malnutrition risk index, the Elderly Nutritional Index for Geriatric Malnutrition Assessment (ENIGMA) with good predictive accuracy for mortality risk in an original population cohort (SLAS1). Herein, we further evaluate the concurrent and predictive validity of the ENIGMA construct in an external validation cohort (SLAS-2) of 2824 community-dwelling older adults aged 55+ years. They were assessed on the ENIGMA index, Mini Nutritional Assessment-Short Form (MNA-SF) and the Geriatric Nutritional Risk Index (GNRI), known correlates of malnutrition, and baseline and follow-up functional dependency and 10-year mortality risk. Higher ENIGMA risk categories were significantly associated (P < 0·001) with lower education, living alone, smoking, low physical activity, BMI < 18·5 kg/m², poorer muscle strength and functional mobility, exhaustion, physical frailty, homocysteine, glomerular filtration rate, Hb, red and white blood cell counts, platelets, systemic inflammation indexes, metabolic syndrome, CVD, cognitive impairment and depressive symptoms (Geriatric Depression Scale ≥ 5). ENIGMA scores showed statistically significant (P < 0·001) correlations but low-to-moderate concordance with MNA-SF (r = 0·148, agreement = 45·9 %, kappa = 0·085) and GNRI scores (r = 0·156, agreement = 45·8 %, kappa = 0·096). Controlling for known correlates of malnutrition, only high-risk ENIGMA among the indexes significantly predicted baseline functional dependency (OR = 1·64, 95 % CI 1·01, 2·65) and mortality (hazard ratio = 1·65 (95 % CI 1·04, 2·62). ENIGMA marginally out-performed MNA-SF and GNRI in predicting baseline functional dependency (AUC: 0·625 v. 0·584 v. 0·526), follow-up functional dependency (AUC: 0·594 v. 0·525 v. 0·479) and 10-year mortality risk (AUC: 0·641 v. 0·596 v. 0·595). The concurrent and predictive validity of the ENIGMA construct is replicated in an external evaluation study of community-dwelling older persons.

Machine Learning-Based Prediction of In-Hospital Complications in Elderly Patients Using GLIM-, SGA-, and ESPEN 2015-Diagnosed Malnutrition as a Factor

Background: Malnutrition is prevalent in elderly inpatients and is associated with various adverse outcomes during their hospital stay, but the diagnosis of malnutrition still lacks widely applicable criteria. This study aimed to investigate the association of malnutrition diagnosed with the SGA, ESPEN 2015, and GLIM criteria, respectively, with in-hospital complications in elderly patients. Method: Hospitalized patients over 65 years old who had been assessed with the SGA guideline for malnutrition at admission were retrospectively recruited from a large observational cohort study conducted in 34 level-A tertiary hospitals in 18 cities in China from June to September 2014. Malnutrition was then retrospectively diagnosed using the GLIM and ESPEN 2015 criteria, respectively, for comparison with the results of the SGA scale. The risk factors for malnutrition were analyzed using logistic regression, and the value of the three diagnostic criteria in predicting the in-hospital complications was subsequently explored using multivariate regression and the random forest machine learning algorithm. Results: A total of 2526 subjects who met the inclusion and exclusion criteria of the study were selected from the 7122 patients in the dataset, with an average age of 74.63 ± 7.12 years, 59.2% male, and 94.2% married. According to the GLIM, SGA, and ESPEN 2015 criteria, the detection rates of malnutrition were 37.8% (956 subjects), 32.8% (829 subjects), and 17.0% (429 subjects), respectively. The diagnostic consistency between the GLIM and the SGA criteria is better than that between the ESPEN 2015 and the SGA criteria (Kappa statistics, 0.890 vs. 0.590). Logistic regression showed that the risk of developing complications in the GLIM-defined malnutrition patients is 2.414 times higher than that of normal patients, higher than those of the ESPEN 2015 and SGA criteria (1.786 and 1.745 times, respectively). The random forest classifications show that the GLIM criteria have a higher ability to predict complications in these elderly patients than the SGA and ESPEN 2015 criteria with a mean decrease in accuracy of 12.929, 10.251, and 5.819, respectively, and a mean decrease in Gini of 2.055, 1.817, and 1.614, respectively. Conclusion: The prevalence of malnutrition diagnosed with the GLIM criteria is higher than that of the SGA and the ESPEN 2015 criteria. The GLIM criteria are better than the SGA and the ESPEN 2015 criteria for predicting in-hospital complications in elderly patients.

Analysis of nutritional risk tools to identify essential parameters in assessing nutritional risk in elderly patients

BACKGROUND: The nutrition screening tool determines whether or not a patient is at risk of malnutrition. Many organizations contributed to the form’s design by researching various nutritional screening tools. OBJECTIVE: The purpose of this study is to analyse the different screening forms for the hospitalised geriatric patients to understand the nutritional status as well as the comorbidities. In addition, the study intends to identify the essential parameters from three nutrition screening forms-MUST,NRS-2002,MNA. The primary outcome is to identify the essential parameters from the screening form and calculating the nutrition risk score is considered a secondary outcome. METHODS: The research was done on geriatric patients who were admitted to the hospital from November 2019 to March 2020, suffering from comorbidities. The study comprises 192 hospitalized patients with an average age of 74 years including both genders. The patients’ data was collected by a certified dietician to understand the essential parameters of these nutrition screening forms. The Pearson correlation test is used to find the correlation value between the screening form parameters. Based on the analysis, features with a correlation value greater than 0.5 with the nutrition score are considered a significant parameter for the research. RESULTS: The analysis of the nutrition screening strategy demonstrates the different significant parameters of the above three screening forms. The experimentation shows, the significant parameters are the Body Mass Index, impaired nutrition status, the severity of disease, mobility, mode of feeding, nutritional status, and weight loss score. CONCLUSIONS: The research is performed to understand the correlation between the screening form parameters MNA, MUST, NRS2002 using a non-invasive method and analyze the score in patients to improve health rates by using nutritional risk therapy and nutritional care for such patients. Nutrition therapy can be applied to patients suffering from malnutrition and at risk of malnutrition to improve the health of the patient.

Comparison of Mini Nutritional Assessment-Short and Long Form to predict all-cause mortality up to 7 years in geriatric outpatients

BACKGROUND

We aimed to find out whether the Mini Nutritional Assessment-Short Form (MNA-SF) can predict mortality up to 7 years when compared with the Mini Nutritional Assessment-Long Form (MNA-LF) in geriatric outpatients.

METHODS

This retrospective study was conducted in patients (≥65 years) who were admitted to the geriatric outpatient clinic of a university hospital. MNA-SF and MNA-LF results were available for all patients. Patients were grouped as normal nutrition status (score 12-14), at risk of malnutrition (score between 8 and 11), or malnourished (score ≤7) according to MNA-SF. Based on MNA-LF, patients had normal nutrition status (score ≥24), were at risk of malnutrition (score 17-23.5), or were malnourished (score <17). Survival of the patients was assessed retrospectively.

RESULTS

The study included 209 patients (62.2% female). During the 7-year follow-up, 77 (36.8%) patients died. After adjusting for age, sex, and Charlson comorbidity index, MNA-SF was significantly associated with all-cause mortality during 6-month, 1-year, 3-year, 5-year, and 7-year follow-up time. MNA-LF was superior to MNA-SF to estimate 6-month (P = 0.004) and 1-year mortality (P = 0.031). There was no difference between MNA-SF and MNA-LF regarding 3-year, 5-year, and 7-year mortality.

CONCLUSION

MNA-SF can predict short-term and long-term mortality in geriatric outpatients as well as MNA-LF. A cut-off value of 11, indicating risk of malnutrition according to MNA-SF, may be used for the risk estimation of 1-year, 3-year, and 5-year mortality. Therefore, this study highlights the importance of screening all geriatric outpatients for malnutrition and especially the risk of malnutrition for early intervention and treatment.

Differentiation of the Nutritional Risk of Polish Elderly People According to Selected Demographic Characteristics and Declared Socioeconomic Status

Nutritional risk screening in older people can help to not only identify health risks but also to treat them effectively. The aim of this work was to assess the relationship between the demographic characteristics (age, gender and place of residence) and socioeconomic status of older people in the community and nutritional risk. The Seniors in the Community: Risk Evaluation for Eating and Nutrition (SCREEN-14) questionnaire was used to evaluate the nutritional risk. The study was conducted in 417 people (312 women and 105 men) between 60 and 95 years old (70.8 ± 6.73 years). Multivariate correspondence analysis (MCA) was used to determine the relationships between the categories of variables describing the level of nutritional risk, demographic characteristics and the value of the socioeconomic status (SES) index. To assess the relationship between identified nutritional risks, demographics and SES index variables, we used logistic regression analysis. Based on these studies, nutritional risk factors for older people in Poland were identified. It has been shown that larger cities and low socioeconomic status are closely linked to higher nutritional risk. At the same time, age and gender were not significant factors influencing nutritional risk. Identifying the factors that increase the nutritional risk of older people can help to improve their quality of life.

The Importance of Nutrition in Neurological Disorders and Nutrition Assessment Methods

Neurological disorders can change patients' nutritional status by directly or indirectly affecting dietary intake through mechanisms such as dysphagia, movement disorders, cognitive impairment, and depression. Malnutrition contributes to complications, resulting in delayed rehabilitation and increased morbidity and mortality. It is important to prevent malnutrition in patients with neurological disorders and to improve their nutritional status by identifying nutritional deterioration at an early stage and implementing appropriate nutritional interventions. This review examines the nutritional screening and assessment process in patients with neurological disorders, with a particular focus on stroke patients undergoing rehabilitation. Nutritional assessment, the first step of clinical nutrition management, identifies nutritional problems and their causes, signs, and symptoms through an overall evaluation including anthropometric measurements, dietary assessments, biochemical assessment, nutrition-related physical examinations, and functional assessment data. Based on the assessment, a nutritional intervention plan is established. By synthesizing the assessment results of selected subjective and objective indicators, nutritional screening tools to screen patients at risk of malnutrition and nutritional assessment tools to diagnose malnutrition were developed. It is important to use those tools with a clear understanding of their characteristics and scope.

Malnutrition in Hospitalized Old Patients: Screening and Diagnosis, Clinical Outcomes, and Management

Malnutrition in hospitalized patients heavily affects several clinical outcomes. The prevalence of malnutrition increases with age, comorbidities, and intensity of care in up to 90% of old populations. However, malnutrition frequently remains underdiagnosed and undertreated in the hospital. Thus, an accurate screening to identify patients at risk of malnutrition or malnourishment is determinant to elaborate a personal nutritional intervention. Several definitions of malnutrition were proposed in the last years, affecting the real frequency of nutritional disorders and the timing of intervention. Diagnosis of malnutrition needs a complete nutritional assessment, which is often challenging to perform during a hospital stay. For this purpose, various screening tools were proposed, allowing patients to be stratified according to the risk of malnutrition. The present review aims to summarize the actual evidence in terms of diagnosis, association with clinical outcomes, and management of malnutrition in a hospital setting.

Differentiation of Nutritional Risk among Polish Seniors Based on Selected Lifestyle Characteristics

Elderly people living in the community are a population group at high nutritional risk. The aim of this study was to assess the nutritional risk of Polish seniors in relation to the region of residence and selected lifestyle characteristics (alcohol consumption, smoking, sleep, physical activity). The SCREEN-14 (Seniors in the Community: Risk Evaluation for Eating and Nutrition) questionnaire was used to assess nutritional risk. The questionnaire was conducted among 320 Polish adults aged 60 and older. The snowball method was used to select the sample. The study was conducted from May to July 2021 in two regions. Cluster analysis with agglomeration technique was used to identify the association between categories of variables describing nutritional risk level, demographic characteristics, and lifestyle characteristics. Logistic regression analysis was used to assess the association between identified nutritional risk levels and selected lifestyle characteristics. Men over 75 and seniors living in smaller towns have been shown to be at higher nutritional risk. High nutritional risk was significantly more common among those who consumed alcohol, smoked tobacco, and had less than six hours or more than nine hours of sleep per day. In addition, low to moderate physical activity was associated with higher nutritional risk. The identification of factors that increase nutritional risk among seniors can support the planning of ways to prevent nutritional problems in this age group.

Optimal Assessment of Nutritional Status in Older Subjects with the Chronic Obstructive Pulmonary Disease-A Comparison of Three Screening Tools Used in the GLIM Diagnostic Algorithm

Chronic obstructive pulmonary disease (COPD) is a recognized risk factor for malnutrition. The European Respiratory Society (ERS) statement included nutritional status assessment and dietary intervention as essential components of comprehensive management in subjects with COPD. According to the GLIM algorithm, the first step in diagnosing malnutrition is risk screening with a validated tool. Our study aimed to assess the diagnostic performance of three screening tools (MNA-SF, MUST, and NRS-2002) used in the GLIM algorithm in older patients with COPD. Additionally, we evaluated the agreement between these tools in the diagnostics of malnutrition. We performed a cross-sectional study of 124 patients aged at least 60 years with COPD diagnosed, based on the Global Initiative for Chronic Obstructive Lung Disease (GOLD). We assessed the participants’ nutritional status with the three examined screening questionnaires (MNA-SF, MUST, and NRS-2002). Regardless of their results, we performed full malnutrition diagnostics following the GLIM algorithm in all subjects. The proportion of malnourished participants varied from 18.5% for the MUST questionnaire to 27.4% for the MNA-SF and 57.3% for the NRS-2002 score. Based on the GLIM criteria, malnutrition was diagnosed in 48 subjects (38.7%). All assessed questionnaires had an unsatisfactory sensitivity against the GLIM criteria for malnutrition: it was fair (58.3%) for the MNA-SF tool and poor for the MUST and NRS-2002 questionnaires (47.9% for both questionnaires). Considering the negative health consequences of malnutrition, a full diagnostic including GLIM etiologic and phenotypic criteria should be recommended in all elderly patients with COPD, regardless of the screening results.

An extended version of the MNA-SF increases sensitivity in identifying malnutrition among community living older adults. Results from the PRONUTRISENIOR project

BACKGROUND & AIMS

The Mini Nutritional Assessment (MNA) is the most used tool to assess malnutrition and/or its risk among older adults. Its Screening section was proposed as a short form (MNA-SF) but studies comparing the two forms present controversial results. Our main aims were to study the agreement between MNA-SF and its full form (MNA-FF) among Portuguese older adults living in the community and to develop a more sensible version of the MNA-SF.

MATERIAL AND METHODS

This cross-sectional study used a convenience sample of 456 older adults (54.2% females) aged 65-92 years (mean = 73; SD = 6). Data analyzed included: nutritional status (MNA), social support (Fillenbaum's Social Network Index), level of independency in daily activities (Lawton e Brody's scale) and eating-related quality of life. Both MNA-FF and MNA-SF classify participants as malnourished, at risk of malnutrition or with normal nutrition status. Anthropometric assessments (weight, height, arm and calf perimeters) were carried out and BMI was computed.

RESULTS

The agreement between the two classifications is 82.7%, but Cohen's k shows a weak agreement (weighted Cohen's k = 0.497; p < 0,001), and the sensitivity of the MNA-SF to detect malnutrition or its risk (as assessed by the MNA-FF) was 42.6% (despite a specificity of 98.8%). Participants classified as normal using the MNA-SF despite at risk using the MNA-FF present lower scores in two items from the Assessment section (number of full meals eaten daily and amount of fluid consumed per day). These were included in MNA-SF to obtain an extended short-version (MNA-SF8). The difference between the ROC curves for MNA-SF and MNA-SF8 justifies the preferential use of the MNA-SF8 with an estimated cut-off of 14 points, which showed high sensitivity (91.8%) and specificity (79.9%).

CONCLUSIONS

The addition of two items to the MNA-SF provides a more sensible tool to detect the risk of malnutrition among older adults. General eating-related questions seem relevant to assess malnutrition in this age group.

Age-Specific Association Between Handgrip Strength and Nutritional Quality in Korean Men: A Nationwide Cross-Sectional Study

This study aimed to determine the potential association between handgrip strength and nutritional quality in Korean men aged ≥20 years using data from the Korea National Health and Nutrition Examination Survey 2016 to 2018. This population-based cross-sectional study included 5,748 men aged ≥20 years. A dietary intake survey was performed using the 24-hr dietary recall method. Nutritional quality was examined using the Index of Nutritional Quality (INQ) score. A high INQ score reflected poor nutritional quality, with insufficient intake of many nutrients. Multivariate linear regression was used to determine the association between handgrip strength and INQ scores after adjusting for other covariates. The intake of carbohydrates, fiber, calcium, and vitamins B2 and C was significantly positively associated with a higher quartile for handgrip strength for those aged ≥65 years (all p < .01). A significant inverse association was found between the quartiles of handgrip strength and INQ scores among men aged ≥65 years after adjusting for all covariates (β = -0.26, p < .01). This association was not found among those aged <65 years (p = .25). The age-specific association between handgrip strength and nutritional quality underscores the importance of public policies that promote sufficient and comprehensive nutrient intake among older adults. Handgrip strength may be useful in clinical practice as a simple and cost-effective tool for screening for nutritional quality in older adults.

Relationship between Nutritional Screening Tools and GLIM in Complicated IBD Requiring Surgery

BACKGROUND

Accurate identification of malnutrition and preoperative nutritional care in Inflammatory Bowel Disease (IBD) surgery is mandatory. There is no validated nutritional screening tool for IBD patients. We developed a novel nutritional screening tool for IBD patients requiring surgery and compared it with other tools.

METHODS

we included 62 consecutive patients scheduled for elective surgery. The IBD Nutritional Screening tool (NS-IBD) was developed to screen patients for further comprehensive assessment. NRS-2002, MUST, MST, MIRT, SaskIBD-NR are compared with the new test. All screening tests were subsequently related to new GLIM criteria.

RESULTS

according to GLIM criteria, 25 (40%) IBD patients were malnourished (15 CD and 10 UC, 33% vs. 63%, p = 0.036). Stage 1 malnutrition was reported in ten patients, while stage 2 was detected in 15 patients. The comparison of each nutritional risk tool with GLIM criteria showed sensitivity of 0.52, 0.6, 0.6, 0.84, 0.84 and 0.92 for SASKIBD-NR, MUST, MST, NRS-2002, MIRT, and the new NS-IBD, respectively.

CONCLUSIONS

in IBD, currently adopted nutritional screening tools are characterized by a low sensitivity when malnutrition diagnosis is performed with recent GLIM criteria. Our proposed tool to detect malnutrition performed the best in detecting patients that may require nutritional assessment and preoperative intervention.

Applicability of the GLIM criteria for the diagnosis of malnutrition in older adults in the emergency ward: A pilot validation study

BACKGROUND & AIMS

Acutely ill older adults are at higher risk of malnutrition. This study aimed to explore the applicability and accuracy of the GLIM criteria to diagnose malnutrition in acutely ill older adults in the emergency ward (EW).

METHODS

We performed a retrospective secondary analysis, of an ongoing cohort study, in 165 participants over 65 years of age admitted to the EW of a Brazilian university hospital. Nutrition assessment included anthropometry, the Simplified Nutritional Assessment Questionnaire (SNAQ), the Malnutrition Screening Tool (MST), and the Mini-Nutritional Assessment (MNA). We diagnosed malnutrition using GLIM criteria, defined by the parallel presence of at least one phenotypic [nonvolitional weight loss (WL), low BMI, low muscle mass (MM)] and one etiologic criterion [reduced food intake or assimilation (RFI), disease burden/inflammation]. We used the receiver operating characteristic (ROC) curves and Cox and logistic regression for data analyses.

RESULTS

GLIM criteria, following the MNA-SF screening, classified 50.3% of participants as malnourished, 29.1% of them in a severe stage. Validation of the diagnosis using MNA-FF as a reference showed good accuracy (AUC = 0.84), and moderate sensitivity (76%) and specificity (75.1%). All phenotypic criteria combined with RFI showed the best metrics. Malnutrition showed a trend for an increased risk of transference to intensive care unit (OR = 2.08, 95% CI 0.99, 4.35), and severe malnutrition for in-hospital mortality (HR = 4.23, 95% CI 1.2, 14.9).

CONCLUSION

GLIM criteria, following MNA-SF screening, appear to be a feasible approach to diagnose malnutrition in acutely ill older adults in the EW. Nonvolitional WL combined with RFI or acute inflammation were the best components identified and are easily accessible, allowing their potential use in clinical practice.

Analysis of the Impact of Selected Vitamins Deficiencies on the Risk of Disability in Older People

Vitamin deficiencies have a serious impact on healthy aging in older people. Many age-related disorders have a direct or indirect impact on nutrition, both in terms of nutrient assimilation and food access, which may result in vitamin deficiencies and may lead to or worsen disabilities. Frailty is characterized by reduced functional abilities, with a key role of malnutrition in its pathogenesis. Aging is associated with various changes in body composition that lead to sarcopenia. Frailty, aging, and sarcopenia all favor malnutrition, and poor nutritional status is a major cause of geriatric morbidity and mortality. In the present narrative review, we focused on vitamins with a significant risk of deficiency in high-income countries: D, C, and B (B6/B9/B12). We also focused on vitamin E as the main lipophilic antioxidant, synergistic to vitamin C. We first discuss the role and needs of these vitamins, the prevalence of deficiencies, and their causes and consequences. We then look at how these vitamins are involved in the biological pathways associated with sarcopenia and frailty. Lastly, we discuss the critical early diagnosis and management of these deficiencies and summarize potential ways of screening malnutrition. A focused nutritional approach might improve the diagnosis of nutritional deficiencies and the initiation of appropriate clinical interventions for reducing the risk of frailty. Further comprehensive research programs on nutritional interventions are needed, with a view to lowering deficiencies in older people and thus decreasing the risk of frailty and sarcopenia.

Adult malnutrition, nutritional interventions and outcomes in Singapore: a scoping review of local studies for the past 20 years

Background:

There is currently no review published on the prevalence and incidence of malnutrition in Singapore across various populations, or what interventions or policies are in place for preventing/treating malnutrition.

Objectives:

This review aims to determine the: (a) incidence and prevalence of malnutrition in the community, and in acute, intermediate and long-term care facilities; (b) interventions implemented for screening, assessing and treating/preventing malnutrition; (c) specific clinical populations investigated for malnutrition or nutritional therapy; and (d) implications of malnutrition and effectiveness of treating malnutrition or using nutritional therapy in Singapore.

Methods:

A structured search strategy was applied to available electronic databases (MEDLINE/PubMed, EMBASE, CINAHL, the Cochrane Library and Google Scholar) using selected search terms, with additional reports and grey literature identified using iterative searches.

Results:

Forty-two articles were found, with the majority of research performed in the community and acute care settings. Malnutrition screening and assessment is the most common nutritional research performed in Singapore. Approximately 14.7% to 65.0% of acute care and 2.8% to 31.5% of community populations are found to be malnourished. Limited interventional and economic-related studies are available.

Conclusion:

Malnutrition rates in Singapore appear to be similar to other developed countries. Future studies will need to focus on nutritional intervention, cost-effectiveness analyses and specific populations such as the underprivileged, chronically ill and those dependent on nutritional support.