The Assessment of the Risk of Malnutrition (Undernutrition) in Stroke Patients.

Malnutrition is common in stroke patients, as it is associated with neurological and cognitive impairment as well as clinical outcomes. Nutritional screening is a process with which to categorize the risk of malnutrition (i.e., nutritional risk) based on validated tools/procedures, which need to be rapid, simple, cost-effective, and reliable in the clinical setting. This review focuses on the tools/procedures used in stroke patients to assess nutritional risk, with a particular focus on their relationships with patients' clinical characteristics and outcomes. Different screening tools/procedures have been used in stroke patients, which have shown varying prevalence in terms of nutritional risk (higher in rehabilitation units) and significant relationships with clinical outcomes in the short- and long term, such as infection, disability, and mortality. Indeed, there have been few attempts to compare the usefulness and reliability of the different tools/procedures. More evidence is needed to identify appropriate approaches to assessing nutritional risk among stroke patients in the acute and sub-acute phase of disease or during rehabilitation; to evaluate the impact of nutritional treatment on the risk of malnutrition during hospital stay or rehabilitation unit; and to include nutritional screening in well-defined nutritional care protocols.

Resting energy expenditure in elite athletes: development of new predictive equations based on anthropometric variables and bioelectrical impedance analysis derived phase angle.

BACKGROUND: An accurate estimation of athletes' energy needs is crucial in diet planning to improve sport performance and to maintain an appropriate body composition. This study aimed to develop and validate in elite athletes new equations for estimating resting energy expenditure (REE) based on anthropometric parameters as well as bioimpedance analysis (BIA)-derived raw variables and to validate the accuracy of selected predictive equations. METHODS: Adult elite athletes aged 18-40 yrs were studied. Anthropometry, indirect calorimetry and BIA were performed in all subjects. The new predictive equations were generated using different regression models. The accuracy of the new equations was assessed at the group level (bias) and at the individual level (precision accuracy), and then compared with the one of five equations used in the general population or three athletes-specific formulas. RESULTS: One-hundred and twenty-six male athletes (age 26.9 ± 9.1 yrs; weight 71.3 ± 10.9 kg; BMI 22.8 ± 2.7 kg/m2) from different sport specialties were randomly assigned to the calibration (n = 75) or validation group (n = 51). REE was directly correlated with individual characteristics, except for age, and raw BIA variables. Most of the equations from the literature were reasonably accurate at the population level (bias within ±5%). The new equations showed a mean bias -0.3% (Eq. A based on anthropometric parameters) and -0.6% (Eq. B based on BIA-derived raw variables). Precision accuracy (individual predicted-measured differences within ±5%) was ~75% in six out of eight of the selected equations and even higher for Eq. A (82.4%) and Eq. B (92.2%). CONCLUSION: In elite athletes, BIA-derived phase angle is a significant predictor of REE. The new equations have a very good prediction accuracy at both group and individual levels. The use of phase angle as predictor of REE requires further research with respect to different sport specialties, training programs and training level.

Prediction of resting energy expenditure in healthy older adults: A systematic review.

BACKGROUND & AIMS: Estimates of energy requirements, based on measured or predicted resting energy expenditure (REE), are needed to avoid undernutrition or overnutrition (and their clinical consequences) in elderly subjects. The aims of this systematic review were to evaluate the prediction accuracy of REE in healthy elderly subjects and to ascertain which equation is more reliable at group level and/or individual level. METHODS: Studies assessing prediction of REE in general elderly population were systematically searched using PubMed, EMBASE, Web of Science and CINAHL until March 2020. Prediction accuracy of REE was assessed at both group (bias) and individual (precision) level for each equation. RESULTS: Fourteen studies met the inclusion criteria of this systematic review. Bias was reported in 8 papers and calculated in another 5 from absolute values. There was a prevalent tendency towards an overestimation of REE across the studies. The least bias was observed for the Mifflin (-0.3%) and Harris-Benedict (+2.6%) equations, with values above 5% for the FAO/WHO/UNU, Fredrix and Muller equations. Precision widely varied between studies for the same equation. The higher precision was observed using the Harris-Benedict equation (~70%), while the Henry and Mifflin equations provided estimates within 10% of measured values in 65% and 61% of elderly individuals, respectively. CONCLUSIONS: None of the prediction equations considered provides accurate and precise REE estimates in healthy older adults. However, the best prediction is given by the Mifflin equation at group level and by the Harris-Benedict equation at individual level. Further studies with strong quality design are needed to evaluate the variability and accuracy of REE in the elderly general population.

New Predictive Equations for Estimating Resting Energy Expenditure in Adults With Crohn's Disease.

BACKGROUND: Increased resting energy expenditure (REE) has been hypothesized to be a potential cause of weight loss in individuals with Crohn's disease (CD). This study aimed to develop and validate new predictive equations for estimating REE in adults with CD. METHODS: Adults, ages 18-65 years, with CD were recruited. Anthropometry, indirect calorimetry, and bioimpedance analysis were performed in all patients. Disease activity was assessed by Crohn's Disease Activity Index. The new predictive equations were generated using different regression models. Prediction accuracy of the new equations was assessed and compared with the most commonly used equations. RESULTS: A total of 270 CD patients (159 males, 111 females) were included and randomly assigned to the calibration (n = 180) and validation groups (n = 90). REE was directly correlated with weight and bioimpedance index, whereas the relation with both age and disease activity was inverse. The new equations were suitable for estimating REE at population level (bias: -0.2 and -0.3, respectively). Individual accuracy was good in both models (≥80%, respectively), especially in females; and similar results were shown by some of the selected equations. But, when accuracy was set within ±5%, the new equations gave the highest prediction. CONCLUSION: The new, disease-specific, equations for predicting REE in individuals with CD give a good prediction accuracy as far as those proposed in the literature for the general population. However, the new ones performed better at the individual level. Further studies are needed to verify the reliability and usefulness of these new equations.

Salt and Health: Survey on Knowledge and Salt Intake Related Behaviour in Italy.

BACKGROUND AND AIM: Excess sodium intake is a recognised causal factor of hypertension and its cardiovascular complications; there is however a lack of practical instruments to assess and monitor the level of knowledge and behaviour about dietary salt intake and to relate these factors to the population general dietary habits. METHODS AND RESULTS: A self-administered questionnaire was developed to assess the salt and health related knowledge and behaviour of the Italian population through an online survey. A sample of 11,618 Italian participants completed the questionnaire. The degree of knowledge and the reported behaviour about salt intake were both found to be related to age, gender, home region, level of education and occupation. There was a significant interrelation between salt knowledge and behaviour and both were significantly and directly related to the degree of adherence to a Mediterranean-like dietary pattern. A hierarchical evaluation was also made of the relevance of any single question to the overall assessment of knowledge and behaviour about salt intake. CONCLUSIONS: The study population overall appeared to have a decent level of knowledge about salt, but a less satisfactory behaviour. Our findings point to social inequalities and young age as the main factors having a negative impact on knowledge and behaviour about salt intake as part of generally inadequate dietary habits. The degrees of knowledge and behaviour were significantly and directly interrelated, confirming that improving knowledge is a key step for behavioural changes, and suggesting that educational campaigns are crucial for the implementation of good practices in nutrition.

Are Raw BIA Variables Useful for Predicting Resting Energy Expenditure in Adults with Obesity?

This study aimed to develop and validate new predictive equations for resting energy expenditure (REE) in a large sample of subjects with obesity also considering raw variables from bioimpedance-analysis (BIA). A total of 2225 consecutive obese outpatients were recruited and randomly assigned to calibration (n = 1680) and validation (n = 545) groups. Subjects were also split into three subgroups according to their body mass index (BMI). The new predictive equations were generated using two models: Model 1 with age, weight, height, and BMI as predictors, and Model 2 in which raw BIA variables (bioimpedance-index and phase angle) were added. Our results showed that REE was directly correlated with all anthropometric and raw-BIA variables, while the correlation with age was inverse. All the new predictive equations were effective in estimating REE in both sexes and in the different BMI subgroups. Accuracy at the individual level was high for specific group-equation especially in subjects with BMI > 50 kg/m². Therefore, new equations based on raw-BIA variables were as accurate as those based on anthropometry. Equations developed for BMI categories did not substantially improve REE prediction, except for subjects with a BMI > 50 kg/m². Further studies are required to verify the application of those formulas and the role of raw-BIA variables for predicting REE.

Malnutrition and sarcopenia assessment in patients with chronic obstructive pulmonary disease according to international diagnostic criteria, and evaluation of raw BIA variables.

BACKGROUND: Various criteria have been used so far for the diagnosis of malnutrition or sarcopenia in patients suffering from chronic obstructive pulmonary disease (COPD). OBJECTIVE: To determine the prevalence of malnutrition and sarcopenia in COPD, as defined by international diagnostic criteria, and determine their relationships with raw BIA variables. METHODS: Two-hundred and sixty-three COPD patients (185 males and 78 females) underwent both clinical examination and respiratory, anthropometric, bioelectrical impedance analysis (BIA raw variables: phase angle and impedance ratio), handgrip strength (HGS), 4 m gait speed and biochemical measurements. Malnutrition and sarcopenia were diagnosed based on European Society for Clinical Nutrition and Metabolism (ESPEN) criteria and European Working Group on Sarcopenia in Older People (EWGSOP) criteria, respectively. RESULTS: The overall prevalence of malnutrition and sarcopenia was 19.8% and 24.0% respectively, increasing with disease severity. The prevalence of sarcopenia was significantly higher in patients with malnutrition (71.2% vs 12.3%; p < 0.001), especially in those with systemic inflammation (cachectic patients) (85.7% vs 61.3%; p < 0.001). Malnourished patients with sarcopenia had a significant reduction in BMI, fat-free mass and HGS compared to non-sarcopenic patients. Finally, impedance ratio significantly increased and phase angle decreased in patients with severe sarcopenia and in cachectic patients. CONCLUSION: A relatively high prevalence of malnutrition and sarcopenia was found in COPD patients applying international standard criteria, with some discrepancy between the two diagnoses. In addition, clear-cut changes in raw BIA variables were observed in malnourished patients with systemic inflammation and sarcopenic patients.

Preliminary study on the assessment of visceral adipose tissue using dual-energy x-ray absorptiometry in chronic obstructive pulmonary disease.

BACKGROUND: Visceral adipose tissue (VAT) was shown to be increased in patients with chronic obstructive pulmonary disease (COPD) compared to control subjects with comparable body mass index (BMI). Our aim was to determine the relation of VAT by dual-energy x-ray absorptiometry (DEXA) in patients with COPD by disease severity, BMI, other indices of body composition and static lung volumes. METHODS: 294 COPD patients admitted for rehabilitation were studied. Lung function, static lung volumes and body composition (i.e. BMI, waist circumference, fat-free mass, fat mass and fat distribution between android and gynoid fat mass) were assessed before entering pulmonary rehabilitation. VAT was estimated within the android region by using DEXA. Patients were stratified for gender, BMI (cut-off of 25 kg/m2) and GOLD stage. To assess the impact of VAT on lung volumes, patients were also stratified for VAT less and above 50th percentile. RESULTS: Both male and female patients with more severe airflow limitation had significantly lower VAT values, but these differences disappeared after stratification for BMI. VAT was significantly and strongly correlated with other body composition parameters (all p < 0.001). Patients with moderate to severe airflow limitation and lower VAT had increased static lung hyperinflation and lower diffusing capacity for carbon monoxide. Nevertheless, multivariate stepwise regression models including for BMI, age, gender and forced expiratory volume in 1 s (FEV1) as confounders did not confirm an independent role for VAT on static lung hyperinflation and diffusion capacity. CONCLUSION: After stratification for BMI, VAT is comparable in moderate to very severe COPD patients. Furthermore, BMI and demographics, but not VAT, were independent predictors of static lung hyperinflation and diffusing capacity in COPD.

Assessment of nutritional practice in Italian chronic kidney disease clinics: a questionnaire-based survey.

BACKGROUND: The prevention of malnutrition in patients with progressive chronic kidney disease (CKD) presents a challenge to nephrologists. We evaluated nutritional practice and routines, at a national level, related to the nutritional management of nondialyzed CKD patients. METHODS: A questionnaire-based survey (32 open and 9 multiple-choice questions) was used to assess the evaluation of nutritional status in nondialyzed CKD outpatients at baseline and during follow-up. Data were obtained for 230 Italian public nephrology centers (63% of the total number of Italian public nephrology centers). RESULTS: There was a dedicated dietitian at only 19% of the centers. At baseline, body weight, body mass index, and serum albumin were determined in almost all centers, nutrient intakes and bioimpedance analysis in half the centers, and subjective global assessment and skinfold thickness in a small proportion of centers. During follow-up, the rate of assessments decreased by 8% for weight, 14% for nutrient intake, and 29% for subjective global assessment and skinfold thickness. Overall, the K/DOQI minimum criteria for nutritional assessment were fulfilled in only two thirds and half of the clinics at baseline and during follow-up, respectively. Multivariate analysis showed that the number of nutritional variables evaluated was significantly related to the size of the CKD clinic and the presence of a dietitian at baseline, but only with the presence of dietitian during follow-up. Daily urinary output was collected at 90% of the centers, but urea and sodium excretions were determined in only 59% and 57% of cases, respectively. The rate of assessment for urinary solutes during follow-up was higher at centers where a very low protein diet was prescribed. CONCLUSIONS: The indications about nutritional assessment for CKD patients are poorly translated into practice patterns, especially with respect to the evaluation of nutrient intakes and additional but simple variables such as skinfold-thickness measurement and bioimpedance analysis. The presence of a dedicated dietitian appears to improve the quality of nutritional assessment in CKD.