Prevalence of low calf circumference in hospitalized patients classified by raw or body mass index-adjusted values

BACKGROUND

Adiposity can influence the estimation of muscle mass using calf circumference (CC) and underestimate the frequency of low CC. An adjustment for CC using body mass index (BMI) was proposed to reduce this effect. We aimed to compare the low CC frequency in hospitalized patients when considering raw and BMI-adjusted values and explore data by sex, age, and race (white and non-white).

METHODS

Secondary analysis from two cohort studies conducted with adult hospitalized patients using BMI and CC data collected in the first 72 h after hospital admission. We classified low CC by two approaches: (1) raw CC; (2) BMI-adjusted CC for patients with BMI ≥ 25. Cutoff values for low CC were ≤34 cm (men) and ≤33 cm (women).

RESULTS

Among 1272 patients (54.1 ± 15.3 years old; 51.7% women; 82.1% White race), low CC frequency was 30.6% and low BMI-adjusted CC was 68.9%. For all elevated BMI categories, the low CC frequency was higher when considering BMI-adjusted values (P < 0.001). Low CC was more frequent (P < 0.001) in older adults (38.7% by raw; 79.1% by BMI-adjusted value) than in younger adults (27.6% by raw; 65.2% by BMI-adjusted value) and it was not associated with race. Low CC by raw values was more frequent in men than in women (35.0% versus 26.4%; P = 0.001), but did not differ between sexes when classified by BMI-adjusted values (70.7% versus 67.1%; P = 0.184).

CONCLUSION

Low CC BMI adjusted was 2.2 times more frequent in comparison with raw CC values, and it was identified in >60% of patients with BMI ≥ 25.

Predictive validity of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition indicators to diagnose malnutrition tool in hospitalized adults: a cohort study

BACKGROUND

The lack of a widely accepted, broadly validated tool for diagnosing malnutrition in hospitalized patients limits the ability to assess the integral role of nutrition as an input and outcome of health, disease, and treatment.

OBJECTIVES

This study aimed to evaluate the predictive validity of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition (ASPEN) indicators to diagnose malnutrition (AAIM) tool and determine if it can be simplified.

METHODS

A prospective cohort study was conducted from August 2019 to September 2022 with 32 hospitals in United States. At baseline, 290 adult patients were evaluated for a diagnosis of malnutrition using the AAIM tool, which assesses weight loss, inadequate energy intake, subcutaneous fat and muscle loss, edema, and hand grip strength. Healthcare outcomes were extracted from the medical record: composite incidence of emergency department (ED) visits and hospital readmissions within 90 d postdischarge; length of hospital stay (LOS); and Medicare Severity Disease Related Group (MS-DRG) relative weight (i.e., healthcare resource utilization). We used multilevel, multivariable negative binomial or generalized linear regression models to evaluate relationships between malnutrition diagnosis and healthcare outcomes.

RESULTS

After adjusting for disease severity and acuity and sociodemographic characteristics, individuals diagnosed with severe malnutrition had a higher incidence rate of ED visits and hospital readmissions (incidence rate ratio: 1.89; 95% CI: 1.14, 3.13; P = 0.01), and individuals diagnosed with moderate malnutrition had a 25.2% longer LOS (95% CI: 2.0%, 53.7%; P = 0.03) and 15.1% greater healthcare resource utilization (95% CI: 1.6%, 31.9%; P = 0.03) compared with individuals with no malnutrition diagnosis. Observed relationships remained consistent when only considering malnutrition diagnoses supported by at least 2 of these indicators: weight loss, subcutaneous fat loss, muscle wasting, and inadequate energy intake.

CONCLUSIONS

Findings from this multihospital study confirm the predictive validity of the original or simplified AAIM tool and support its routine use for hospitalized adult patients. This trial was registered at clinicaltrials.gov as NCT03928548 (https://classic.

CLINICALTRIALS

gov/ct2/show/NCT03928548).

Complementarity of nutritional assessment tools to predict prolonged hospital stay and readmission in older patients with solid tumors: A secondary analysis of a cohort study

OBJECTIVE

The aim of this study was to investigate the complementarity of five nutritional risk screening tools (Nutritional Risk Screening 2002 [NRS-2002], Malnutrition Screening Tool [MST], Malnutrition Universal Screening Tool [MUST], Mini-Nutritional Assessment-Short Form [MNA-SF], and Patient-Generated Subjective Global Assessment SF [PG-SGA SF]) combined with three malnutrition diagnostic tools (SGA, PG-SGA, and Global Leadership Initiative on Malnutrition [GLIM]) and their ability to predict poor clinical outcomes in older patients with cancer.

METHODS

Using data collected within 48 h of hospital admission, we conducted a prospective cohort study on nutritional risk (NRS-2002, MST, MUST, MNA-SF, and PG-SGA SF) and the presence of malnutrition (SGA, PG-SGA, and GLIM). Patients were grouped according to their nutritional risk and malnutrition status. Accuracy tests and logistic regression analysis were used to evaluate the ability of the combined tools to predict hospital length of stay and readmission. We evaluated 248 older patients (69.7 ± 7.2 y of age, 59.7% men; 27.4% with gastrointestinal tumors). The median length of stay was 4 d (3-9 d), and 65.3% of patients remained hospitalized for ≥ 4 d.

RESULTS

The NRS-2002 combined with SGA and MST combined with SGA and GLIM had the highest specificity (> 80%) for predicting hospitalization. Nutritional risk assessed by MNA-SF and malnutrition assessed by PG-SGA were associated with 2.48- and 6.04-fold increased likelihood of hospitalization (≥ 4 d) and readmission (60 d), respectively.

CONCLUSION

Concomitant application of MNA-SF (specific for older patients) with PG-SGA (specific for patients with cancer) might enhance the ability to predict length of stay and readmission in hospitalized older patients with solid tumors.

Low calf circumference adjusted for body mass index is associated with prolonged hospital stay

BACKGROUND

Calf circumference (CC) is of emerging importance because of its practicality, high correlation with skeletal muscle, and potential predictive value for adverse outcomes. However, the accuracy of CC is influenced by adiposity. CC adjusted for BMI (BMI-adjusted CC) has been proposed to counteract this problem. However, its accuracy to predict outcomes is unknown.

OBJECTIVES

To evaluate the predictive validity of BMI-adjusted CC in hospital settings.

METHODS

A secondary analysis of a prospective cohort study in hospitalized adult patients was conducted. The CC was adjusted for BMI by reducing 3, 7, or 12 cm for BMI (in kg/m²) of 25-29.9, 30-39.9, and ≥40, respectively. Low CC was defined as ≤34 cm for males and ≤33 cm for females. Primary outcomes included length of hospital stay (LOS) and in-hospital death, and secondary outcomes were hospital readmissions and mortality within 6 mo after discharge.

RESULTS

We included 554 patients (55.2 ± 14.9 y, 52.9% men). Among them, 25.3% presented with low CC, whereas 60.6% had BMI-adjusted low CC. In-hospital death occurred in 13 patients (2.3%), and median LOS was 10.0 (5.0-18.0) d. Within 6 mo from discharge, 43 patients (8.2%) died, and 178 (34.0%) were readmitted to the hospital. BMI-adjusted low CC was an independent predictor of LOS ≥ 10 d (odds ratio = 1.70; 95% confidence interval: 1.18, 2.43], but it was not associated with the other outcomes.

CONCLUSIONS

BMI-adjusted low CC was identified in more than 60% of hospitalized patients and was an independent predictor of longer LOS.

A scoping review on the GLIM criteria for malnutrition diagnosis: Understanding how and for which purpose it has been applied in studies on hospital settings

AIMS

This scoping review aimed to identify and map the literature on malnutrition diagnosis made using the GLIM criteria in hospitalized patients.

METHODS

The scoping review was conducted using the Joanna Briggs Institute's methodology. We searched PubMed, Embase, Scopus, and Web of Science (until 16 April 2022) to identify studies based on the 'population' (adults or elderly patients), 'concept' (malnutrition diagnosis by the GLIM criteria), and 'context' (hospital settings) framework. Titles/abstracts were screened, and two independent reviewers extracted data from eligible studies.

RESULTS

Ninety-six studies were eligible (35.4% from China, 30.2% involving oncological patients, and 30.5% with prospective data collection), 32 followed the two-step GLIM approach, and 50 applied all the criteria. All the studies evaluated body mass index (BMI), while 92.7% evaluated weight loss; 77.1%, muscle mass; 93.8%, inflammation; and 70.8%, energy intake. A lack of details on the methods adopted for criterion evaluation was observed in five (muscle mass evaluation) to 40 studies (energy intake evaluation). The frequency of the use of the GLIM criteria ranged from 22.2% (frequency of low BMI) to 84.7% (frequency of inflammation), and the malnutrition prevalence ranged from 0.96% to 87.9%. Less than 30% of studies aimed to assess the GLIM criterion validity, eight studies cited the guidance on validation of the GLIM criteria, and a minority implemented it.

CONCLUSIONS

This map of studies on the GLIM criteria in hospital settings demonstrated that they are applied in a heterogeneous manner, with a wide range of malnutrition prevalence. Almost 50% of the studies applied all the criteria, while one-third followed the straightforward two-step approach. The recommendations of the guidance on validation of the criteria were scarcely adhered to. The gaps that need to be explored in future studies have been highlighted.

A novel nomogram for predicting risk of malnutrition in patients with heart failure

Background and aims

This study aimed to explore the risk factors of malnutrition in patients with heart failure and construct a novel nomogram model.

Methods and results

A cross-sectional study based on the STROBE checklist. Patients with heart failure from July 2020 to August 2021 were included. Patients were divided into a malnutrition group and a normal nutrition group based on the Society's recommended AND-ASPEN standard. Logistic regression was used to analyze the independent risk factors for malnutrition. A new prediction model of nomogram was constructed based on the risk factors, and its fit and prediction performance were evaluated. Of 433 patients, 66 (15.2%) had malnutrition and 367 (84.8%) had normal nutrition, Logistic regression analyses showed that the risk factors for malnutrition were total protein, hemoglobin, triglyceride, and glucose levels. The regression model based on the above four variables showed an area under the curve of 0.858. The novel nomogram model had a sensitivity of 78.5% and a specificity of 77.3%. After 2000 bootstrap resampling iterations, AUC was 0.852.

Conclusions

The novel nomogram model can predict the odds of malnutrition in patients with heart failure at the early stage of admission, and can provide a reference for nursing staff to optimize nutritional care for inpatient with heart failure and to develop a discharge nutritional care plan.

The feasibility of screening for malnutrition in the outpatient setting and the prevalence of malnutrition in patients with newly-diagnosed ovarian carcinoma

•

Malnutrition screening of outpatients in a Gynecologic Oncology clinic setting is feasible.

•

Malnutrition was infrequently detected through outpatient screening of new patients with suspected gynecologic malignancy.

•

The prevalence of malnutrition in individuals with newly-diagnosed ovarian cancer is low.

•

Optimizing nutrition remains important, especially later in the cancer course when malnutrition is likely more prevalent.

Introduction

Methods

Results

Conclusion

Prognostic Value of Isolated Sarcopenia or Malnutrition-Sarcopenia Syndrome for Clinical Outcomes in Hospitalized Patients

Malnutrition-sarcopenia syndrome (MSS) is frequent in the hospital setting. However, data on the predictive validity of sarcopenia and MSS are scarce. We evaluated the association between sarcopenia and MSS and clinical adverse outcomes (prolonged length of hospital stay-LOS, six-month readmission, and death) using a prospective cohort study involving adult hospitalized patients (n = 550, 55.3 ± 14.9 years, 53.1% males). Sarcopenia was diagnosed according to the EWGSOP2, and malnutrition according to the Subjective Global Assessment (SGA). Around 34% were malnourished, 7% probable sarcopenic, 15% sarcopenic, and 2.5% severe sarcopenic. In-hospital death occurred in 12 patients, and the median LOS was 10.0 days. Within six months from discharge, 7.9% of patients died, and 33.8% were readmitted to the hospital. Probable sarcopenia/sarcopenia had increased 3.95 times (95% CI 1.11-13.91) the risk of in-hospital death and in 3.25 times (95% CI 1.56-6.62) the chance of mortality in six months. MSS had increased the odds of prolonged LOS (OR = 2.73; 95% CI 1.42-5.25), readmission (OR = 7.64; 95% CI 3.06-19.06), and death (OR = 1.15; 95% CI 1.08-1.21) within six months after discharge. Sarcopenia and MSS were predictors of worse clinical outcomes in hospitalized patients.

AND/ASPEN and the GLIM Malnutrition Diagnostic Criteria have a High Degree of Criterion Validity and Reliability for the Identification of Malnutrition in a Hospital Setting: A Single-Center Prospective Study

BACKGROUND

Multiple malnutrition diagnostic tools are available in clinical practice yet evidence on their validity and reliability is limited. We aim to assess and compare the validity and reliability of the different combinations of indicators of the three diagnostic tools most used compared to two validated malnutrition screening tools.

METHODS

Nutritional risk screening was evaluated using the Mini-Nutritional Assessment Short Form (MNA-SF) and Nutrition Risk Screening-2002 (NRS-2002), and nutritional assessment was conducted using different combinations of the Academy of Nutrition and Dietetics/American Society of Parenteral and Enteral Nutrition (AND/ASPEN), The European Society of Clinical Nutrition and Metabolism (ESPEN), and Global Leadership Initiative on Malnutrition (GLIM). Concurrent criterion validity and inter-rater reliability of the overall and the different combinations of indicators in the diagnostic tools were evaluated and compared. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Cohen's kappa (ĸ) were calculated to determine tool validity and reliability.

RESULTS

AND/ASPEN [132(22.8%)] combination and GLIM-1 [133(23.0%)] (weight loss + compromised food intake) predicted the highest number of malnourished patients and reported a high degree of concurrent criterion validity, agreement, and reliability. On the contrary, overall ESPEN (using any combination) and GLIM-2 (reduced Body Mass Index-BMI + compromised food intake) reported only moderate criterion validity and low agreement and reliability.

CONCLUSION

Different combinations of diagnostic criteria led to varying validity and reliability, with the lowest validation results rising from the combinations of indicators using BMI as a criterion for malnutrition diagnosis. This article is protected by copyright. All rights reserved.

Prevalence and impact of malnutrition on length of stay, readmission, and discharge destination

BACKGROUND

Studies indicate one in three hospitalized patients are malnourished upon admission, however, the documented malnutrition rate in acute care hospitals is often lower. This study measured prevalence of malnutrition upon admission and correlated the relationship among malnutrition status, length of stay (LOS), discharge disposition, and readmission rate.

MATERIALS AND METHODS

A prospective observational cohort study was performed across nine tertiary care hospitals in Houston, Texas. Registered Dietitians screened patients age ≥18 within 24 hours of admission for 2 consecutive days per hospital. Malnourished patients were diagnosed using a modified version of 2012 Consensus Statement from the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition. Data collected included demographics, LOS, discharge disposition, and 30-day re-admission status.

RESULTS

In 416 patients, 31.7% were malnourished upon admission. Malnourished patients were significantly older (67.8 vs 57.6 years, P<.001) and had a lower BMI (26.2 vs 32.4 kg/m² , P<.001) than nonmalnourished patients. Malnourished patients had higher odds of having a LOS ≥3 days (2.38 [95% CI 1.45-3.88], P<.001) and higher odds of readmitting within 30 days (2.28 [95% CI 1.26-4.12], P<.006) when compared to nonmalnourished patients. There were no significantly different clinical outcomes between moderately and severely malnourished groups.

CONCLUSION

The study successfully utilized the modified AND-ASPEN criteria to show that approximately one in three patients presented with malnutrition upon admission. Malnourished patients were more likely to have longer LOS and more likely to be readmitted within 30 days. This article is protected by copyright. All rights reserved.

Key approaches to diagnosing malnutrition in adults

Nutrition assessment is used to describe nutrition status-related nutrition problems and their causes, one of which includes malnutrition. Four malnutrition diagnostic tools are currently in use today in adults: Subjective Global Assessment, the Mini Nutritional Assessment, the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition malnutrition consensus characteristics, and the Global Leadership Initiative on Malnutrition criteria. The aim of this article is to provide sufficient background of these methodologies to assist clinicians in choosing their approach in diagnosing malnutrition. There is substantial overlap between the criteria included in these malnutrition diagnostic approaches. A desired goal is to identify a core data set in order to evaluate malnutrition prevalence globally and to assess the impact of nutrition interventions on nutrition and clinical outcomes.

Role of the nutrition-focused physical examination in identifying malnutrition and its effectiveness

It has long been recognized that malnutrition changes physical appearance, as evidenced by muscle wasting, losses of fat stores, signs of vitamin and mineral deficiencies, and reduced physical activity. Malnutrition is associated with poor clinical outcomes and quality of life. Various nutrition assessment parameters have been used to determine the presence and degree of malnutrition, including use of anthropometric measurements and laboratory values. In the mid-1980s, the Subjective Global Assessment (SGA) tool was developed in acknowledgement of the physical features of malnutrition; an evaluation of muscle mass, fat stores, edema, and functional capacity was a major component of the SGA. SGA became a gold standard for nutrition assessment. Since then, nutrition assessment evolved from anthropometric tools and laboratory values to one based on the nutrition-focused physical examination (NFPE). NFPE uses a head-to-toe approach to evaluate muscle mass, fat stores, fluid retention, micronutrient deficiencies, and functional capacity. In 2012, the Academy of Nutrition and Dietetics and the American Society for Parenteral and Enteral Nutrition (AND/ASPEN) developed a standardized definition for malnutrition diagnoses for coding and reimbursement; the AND/ASPEN malnutrition diagnosis is derived from the SGA. A few studies demonstrated good agreement between SGA and AND/ASPEN malnutrition criteria in diagnosing malnutrition, and some studies have shown malnutrition, as diagnosed by AND/ASPEN criteria, is associated with poor clinical outcomes. More research is needed to validate the AND/ASPEN malnutrition diagnosis criteria.

AND-ASPEN and ESPEN consensus, and GLIM criteria for malnutrition identification in AECOPD patients: a longitudinal study comparing concurrent and predictive validity

BACKGROUND/OBJECTIVES

Malnutrition in chronic obstructive pulmonary disease (COPD) patients is prevalent and usually assessed by body mass index (BMI), which can lead to misdiagnosis. The subjective global assessment (SGA) is the reference method for this diagnose in hospitalized patients. In the last decade, new tools have emerged Academy of Nutrition and Dietetics-American Society for Parenteral and Enteral Nutrition [AND-ASPEN], European Society for Clinical Nutrition and Metabolism [ESPEN], and Global Leadership Initiative on Malnutrition [GLIM]). Therefore, this study aimed to assess the concurrent and predictive validity of these tools in acute exacerbated COPD (AECOPD) patients.

SUBJECTS/METHODS

Prospective cohort study with hospitalized AECOPD patients. Malnutrition was diagnosed by SGA (reference method), AND-ASPEN, ESPEN, and GLIM consensus. Hospital length of stay (LOS) and mortality were the outcomes evaluated.

RESULTS

In 241 patients (46.5% males; 68.3 ± 10.2 years), malnutrition was found in 50.0% by SGA, 54.4% by AND-ASPEN, 20.2% by ESPEN, and 47.8% by GLIM. AND-ASPEN had the best accuracy (AUC = 0.837; 95% CI 0.783-0.841) and concordance (kappa = 0.674) with SGA and it was an independent predictor of prolonged LOS (OR = 1.73; 95% CI 1.01-3.37). ESPEN consensus did not agree with SGA, but was associated with prolonged LOS (OR = 2.57 95% CI, 1.27-5.20). The GLIM had good concordance (kappa = 0.533) and accuracy with SGA (AUC = 0.768; 95% CI 0.701-0.835), but was not associated with outcomes.

CONCLUSIONS

The AND-ASPEN was the most accurate tool for diagnosing malnutrition in AECOPD patients and was an independent predictor of prolonged LOS.

Accuracy of three tools for malnutrition diagnosis in hospitalised patients: Comparison to subjective global assessment

BACKGROUND

Malnutrition is prevalent in hospital, and the Subjective Global Assessment (SGA) has been widely used for its identification. However, in the last decade, new tools were proposed by the Academy of Nutrition and Dietetics-American Society for Parenteral and Enteral Nutrition (AND-ASPEN), European Society for Clinical Nutrition and Metabolism (ESPEN) and Global Leadership Initiative on Malnutrition (GLIM). The diagnostic test accuracy of these tools has been scarcely investigated. Thus, we aimed to compare the accuracy of AND-ASPEN, ESPEN and GLIM for malnutrition diagnosis in hospitalised patients.

METHODS

A cross-sectional study was conducted with hospitalised patients aged ≥ 18 years from a five-unit complex hospital. Malnutrition was diagnosed within 48 h of admission using SGA, AND-ASPEN, ESPEN and GLIM. The accuracy of these tools was evaluated by the area under the receiver operating characteristic (AUROC) curve, considering SGA as reference, which was compared by the DeLong test.

RESULTS

Six hundred patients (55.7 ± 14.8 years, 51.3% male) were evaluated. AND-ASPEN [AUROC 0.846; 95% confidence interval (CI) = 0.810-0.883] and GLIM presented a satisfactory accuracy (AUROC 0.842; 95% CI, 0.807-0.877), whereas ESPEN had a substantially lower accuracy (AUROC, 0.572; 95% CI, 0.522-0.622). The AUROC of AND-ASPEN and GLIM were not different from each other (p = 0.785) and both had significantly higher accuracy than ESPEN (p < 0.001). AND-ASPEN and GLIM presented sensitivity, specificity and negative predictive value > 80%, whereas ESPEN sensitivity was < 20%.

CONCLUSIONS

AND-ASPEN and GLIM were accurate methods for diagnosing malnutrition and could be applied in hospitalised patients. By contrast, the ESPEN criteria had unsatisfactory accuracy.

Consensus on the standard terminology used in the nutrition care of adult patients with chronic kidney disease

This nutrition consensus document is the first to coordinate the efforts of three professional organizations - the Brazilian Association of Nutrition (Asbran), the Brazilian Society of Nephrology (SBN), and the Brazilian Society of Parenteral and Enteral Nutrition (Braspen/SBNPE) - to select terminology and international standardized tools used in nutrition care. Its purpose is to improve the training delivered to nutritionists working with adult patients with chronic kidney disease (CKD). Eleven questions were developed concerning patient screening, care, and nutrition outcome management. The recommendations set out in this document were developed based on international guidelines and papers published in electronic databases such as PubMed, EMBASE(tm), CINHAL, Web of Science, and Cochrane. From a list of internationally standardized terms, twenty nutritionists selected the ones they deemed relevant in clinical practice involving outpatients with CKD. The content validity index (CVI) was calculated with 80% agreement in the answers. The Grading of Recommendations, Assessment, Development and Evaluation (GRADE) framework was used to assess the strength of evidence and recommendations. A total of 107 terms related to Nutrition Assessment and Reassessment, 28 to Diagnosis, nine to Intervention, and 94 to Monitoring and Evaluation were selected. The list of selected terms and identified tools will be used in the development of training programs and the implementation of standardized nutrition terminology for nutritionists working with patients with chronic kidney disease in Brazil.