Nutritional problems of patients with COVID-19 receiving dietetic treatment in primary care.

BACKGROUND: The nutritional problems of patients who are hospitalised for COVID-19 are becoming increasingly clear. However, a large group of patients have never been hospitalised and also appear to experience persistent nutritional problems. The present study describes the nutritional status, risk of sarcopaenia and nutrition-related complaints of patients recovering from COVID-19 receiving dietetic treatment in primary care. METHODS: In this retrospective observational study, data were collected during dietetic treatment by a primary care dietitian between April and December 2020. Both patients who had and had not been admitted to the hospital were included at their first visit to a primary care dietitian. Data on nutritional status, risk of sarcopaenia and nutrition-related complaints were collected longitudinally. RESULTS: Data from 246 patients with COVID-19 were collected. Mean ± SD age was 57 ± 16 years and 61% of the patient population was female. At first consultation, two thirds of patients were classified as overweight or obese (body mass index >25 kg m-2 ). The majority had experienced unintentional weight loss because of COVID-19. Additionally, 55% of hospitalised and 34% of non-hospitalised patients had a high risk of sarcopaenia. Most commonly reported nutrition-related complaints were decreased appetite, shortness of breath, changed or loss of taste and feeling of being full. Nutrition-related complaints decreased after the first consultation, but remained present over time. CONCLUSIONS: In conclusion, weight changes, risk of sarcopaenia and nutrition-related complaints were prevalent in patients with COVID-19, treated by a primary care dietitian. Nutrition-related complaints improved over time, but remained prevalent until several months after infection.

Dietary advice with or without oral nutritional supplements for disease-related malnutrition in adults.

BACKGROUND: Disease-related malnutrition has been reported in 10% to 55% of people in hospital and the community and is associated with significant health and social-care costs. Dietary advice (DA) encouraging consumption of energy- and nutrient-rich foods rather than oral nutritional supplements (ONS) may be an initial treatment. OBJECTIVES: To examine evidence that DA with/without ONS in adults with disease-related malnutrition improves survival, weight, anthropometry and quality of life (QoL). SEARCH METHODS: We identified relevant publications from comprehensive electronic database searches and handsearching. Last search: 01 March 2021. SELECTION CRITERIA: Randomised controlled trials (RCTs) of DA with/without ONS in adults with disease-related malnutrition in any healthcare setting compared with no advice, ONS or DA alone. DATA COLLECTION AND ANALYSIS: Two authors independently assessed study eligibility, risk of bias, extracted data and graded evidence. MAIN RESULTS: We included 94, mostly parallel, RCTs (102 comparisons; 10,284 adults) across many conditions possibly explaining the high heterogeneity.  Participants were mostly older people in hospital, residential care and the community, with limited reporting on their sex. Studies lasted from one month to 6.5 years.  DA versus no advice - 24 RCTs (3523 participants) Most outcomes had low-certainty evidence. There may be little or no effect on mortality after three months, RR 0.87 (95% confidence interval (CI) 0.26 to 2.96), or at later time points. We had no three-month data, but advice may make little or no difference to hospitalisations, or days in hospital after four to six months and up to 12 months. A similar effect was seen for complications at up to three months, MD 0.00 (95% CI -0.32 to 0.32) and between four and six months. Advice may improve weight after three months, MD 0.97 kg (95% CI 0.06 to 1.87) continuing at four to six months and up to 12 months; and may result in a greater gain in fat-free mass (FFM) after 12 months, but not earlier. It may also improve global QoL at up to three months, MD 3.30 (95% CI 1.47 to 5.13), but not later. DA versus ONS - 12 RCTs (852 participants) All outcomes had low-certainty evidence. There may be little or no effect on mortality after three months, RR 0.66 (95% CI 0.34 to 1.26), or at later time points. Either intervention may make little or no difference to hospitalisations at three months, RR 0.36 (95% CI 0.04 to 3.24), but ONS may reduce hospitalisations up to six months. There was little or no difference between groups in weight change at three months, MD -0.14 kg (95% CI -2.01 to 1.74), or between four to six months. Advice (one study) may lead to better global QoL scores but only after 12 months. No study reported days in hospital, complications or FFM. DA versus DA plus ONS - 22 RCTs (1286 participants) Most outcomes had low-certainty evidence. There may be little or no effect on mortality after three months, RR 0.92 (95% CI 0.47 to 1.80) or at later time points. At three months advice may lead to fewer hospitalisations, RR 1.70 (95% CI 1.04 to 2.77), but not at up to six months. There may be little or no effect on length of hospital stay at up to three months, MD -1.07 (95% CI -4.10 to 1.97). At three months DA plus ONS may lead to fewer complications, RR 0.75 (95% CI o.56 to 0.99); greater weight gain, MD 1.15 kg (95% CI 0.42 to 1.87); and better global QoL scores, MD 0.33 (95% CI 0.09 to 0.57), but this was not seen at other time points. There was no effect on FFM at three months. DA plus ONS if required versus no advice or ONS - 31 RCTs (3308 participants) Evidence was moderate- to low-certainty. There may be little or no effect on mortality at three months, RR 0.82 (95% CI 0.58 to 1.16) or at later time points. Similarly, little or no effect on hospitalisations at three months, RR 0.83 (95% CI 0.59 to 1.15), at four to six months and up to 12 months; on days in hospital at three months, MD -0.12 (95% CI -2.48 to 2.25) or for complications at any time point. At three months, advice plus ONS probably improve weight, MD 1.25 kg (95% CI 0.73 to 1.76) and may improve FFM, 0.82 (95% CI 0.35 to 1.29), but these effects were not seen later. There may be little or no effect of either intervention on global QoL scores at three months, but advice plus ONS may improve scores at up to 12 months. DA plus ONS versus no advice or ONS - 13 RCTs (1315 participants) Evidence was low- to very low-certainty. There may be little or no effect on mortality after three months, RR 0.91 (95% CI 0.55 to 1.52) or at later time points. No study reported hospitalisations and there may be little or no effect on days in hospital after three months, MD -1.81 (95% CI -3.65 to 0.04) or six months. Advice plus ONS may lead to fewer complications up to three months, MD 0.42 (95% CI 0.20 to 0.89) (one study). Interventions may make little or no difference to weight at three months, MD 1.08 kg (95% CI -0.17 to 2.33); however, advice plus ONS may improve weight at four to six months and up to 12 months. Interventions may make little or no difference in FFM or global QoL scores at any time point. AUTHORS' CONCLUSIONS: We found no evidence of an effect of any intervention on mortality. There may be weight gain with DA and with DA plus ONS in the short term, but the benefits of DA when compared with ONS are uncertain. The size and direction of effect and the length of intervention and follow-up required for benefits to emerge were inconsistent for all other outcomes.  There were too few data for many outcomes to allow meaningful conclusions. Studies focusing on both patient-centred and healthcare outcomes are needed to address the questions in this review.

The Impact of Combined Nutrition and Exercise Interventions in Patients with Chronic Kidney Disease.

Combined nutrition and exercise interventions potentially improve protein-energy wasting/malnutrition-related outcomes in patients with chronic kidney disease (CKD). The aim was to systematically review the effect of combined interventions on nutritional status, muscle strength, physical performance and QoL. MEDLINE, Cochrane, Embase, Web of Science and Google Scholar were searched for studies up to the date of July 2023. Methodological quality was appraised with the Cochrane risk-of-bias tool. Ten randomized controlled trials (nine publications) were included (334 patients). No differences were observed in body mass index, lean body mass or leg strength. An improvement was found in the six-minute walk test (6-MWT) (n = 3, MD 27.2, 95%CI [7 to 48], p = 0.008), but not in the timed up-and-go test. No effect was found on QoL. A positive impact on 6-MWT was observed, but no improvements were detected in nutritional status, muscle strength or QoL. Concerns about reliability and generalizability arise due to limited statistical power and study heterogeneity of the studies included.

More than 10% weight loss in head and neck cancer patients during radiotherapy is independently associated with deterioration in quality of life.

The authors prospectively assessed the independent association between weight loss and deterioration in quality of life (QOL) in patients treated by radiotherapy for head and neck cancer. In 533 head and neck cancer patients treated by curative radiotherapy, changes in weight and QOL were assessed between baseline (before radiotherapy) and follow-up (12 wk after the start of radiotherapy). Patients were categorized into 4 weight loss categories: 0%, 0.1%-5.0%, 5.1%-10.0%, and >10% weight loss. The association between weight loss and change in QOL was analyzed by linear regression analysis, adjusted for sociodemographic and tumor-related characteristics, and additionally for disease specific symptoms and tube feeding. Thirty percent of patients lost 0.1%-5.0% weight, 26% lost 5.1%-10.0% weight, and 24% lost >10% weight. Adjusted regression analyses showed a significant association between weight loss and deterioration of global QOL, physical functioning, social functioning, social eating, and social contact. After additional adjustment for disease-specific symptoms and tube feeding, weight loss (>10%) remained significantly associated with global QOL, social eating, and social contact (P < 0.05). More than 10% weight loss during and directly after radiotherapy has a significant impact on social eating, social contact, and QOL in head and neck cancer patients.

Effects of a dietetic treatment in older, undernourished, community-dwelling individuals in primary care: a randomized controlled trial.

PURPOSE: Undernutrition is a prevalent problem in older, community-dwelling individuals. Aim of this study was to determine the effects of a dietetic treatment in older, undernourished, community-dwelling individuals. METHODS: A parallel randomized controlled trial was performed in 146 non-institutionalized, undernourished individuals aged ≥65 years in primary care. Participants were randomly assigned to the intervention (referral to and treatment by a trained dietitian) or control group (no referral). Body weight, physical performance, handgrip strength, energy intake, protein intake and fat-free mass were assessed at baseline, after 3 months and after 6 months. RESULTS: All randomized participants (n = 146) were included in the intention-to-treat generalized estimating equations analysis (72 in intervention and 74 in control group). No treatment effect was found on the primary outcomes body weight (ß = 0.49 kg, 95% CI: -0.15-1.12), physical performance (ß = 0.15 points, 95% CI: -0.33-0.64) and handgrip strength (ß = 0.49 kg, 95% CI: -0.62-1.60). Furthermore, no treatment effect was found for the secondary outcomes. Predefined subgroup analyses showed a treatment effect on body weight in physically active participants (ß = 1.25 kg, 95% CI: 0.70-2.11) and not in inactive participants (ß = -0.20 kg, 95% CI: -1.16-0.75). CONCLUSIONS: After 6 months, a dietetic treatment by trained dietitians does not lead to increases in body weight and physical functioning in older, undernourished, community-dwelling individuals.

Evaluation of Primary Allied Health Care in Patients Recovering From COVID-19 at 6-Month Follow-up: Dutch Nationwide Prospective Cohort Study.

BACKGROUND: Patients recovering from COVID-19 often experience persistent problems in their daily activities related to limitations in physical, nutritional, cognitive, and mental functioning. To date, it is unknown what treatment is needed to support patients in their recovery from COVID-19. OBJECTIVE: This study aimed to evaluate the primary allied health care of patients recovering from COVID-19 at 6-month follow-up and to explore which baseline characteristics are associated with changes in the scores of outcomes between baseline and 6-month follow-up. METHODS: This Dutch nationwide prospective cohort study evaluated the recovery of patients receiving primary allied health care (ie, dietitians, exercise therapists, occupational therapists, physical therapists, and speech and language therapists) after COVID-19. All treatments offered by primary allied health professionals in daily practice were part of usual care. Patient-reported outcome measures on participation, health-related quality of life, fatigue, physical functioning, and psychological well-being were assessed at baseline and at 3- and 6-month follow-up. Linear mixed model analyses were used to evaluate recovery over time, and uni- and multivariable linear regression analyses were used to examine the association between baseline characteristics and recovery. RESULTS: A total of 1451 adult patients recovering from COVID-19 and receiving treatment from 1 or more primary allied health professionals were included. For participation (Utrecht Scale for Evaluation of Rehabilitation-Participation range 0-100), estimated mean differences of at least 2.3 points were observed at all time points. For the health-related quality of life (EuroQol Visual Analog Scale, range 0-100), the mean increase was 12.3 (95% CI 11.1-13.6) points at 6 months. Significant improvements were found for fatigue (Fatigue Severity Scale, range 1-7): the mean decrease was -0.7 (95% CI -0.8 to -0.6) points at 6 months. However, severe fatigue was reported by 742/929 (79.9%) patients after 6 months. For physical functioning (Patient-Reported Outcomes Measurement Information System-Physical Function Short Form 10b, range 13.8-61.3), the mean increase was 5.9 (95% CI 5.9-6.4) points at 6 months. Mean differences of -0.8 (95% CI -1.0 to -0.5) points for anxiety (Hospital Anxiety and Depression Scale range 0-21) and -1.6 (95% CI -1.8 to -1.3) points for depression were found after 6 months. A worse baseline score, hospital admission, and male sex were associated with greater improvement between baseline and 6-month follow-up, whereas age, the BMI, comorbidities, and smoking status were not associated with mean changes in any outcome measures. CONCLUSIONS: Patients recovering from COVID-19 who receive primary allied health care make progress in recovery but still experience many limitations in their daily activities after 6 months. Our findings provide reference values to health care providers and health care policy makers regarding what to expect from the recovery of patients who receive health care from 1 or more primary allied health professionals. TRIAL REGISTRATION: ClinicalTrials.gov NCT04735744; https://tinyurl.com/3vf337pn. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2340/jrm.v54.2506.

Weight loss of 5% or more predicts loss of fat-free mass during palliative chemotherapy in patients with advanced cancer: a pilot study.

The cutoff value of critical weight loss is still subject of discussion. In this pilot study, we investigated whether ≥ 5% weight loss in the past year predicts changes in nutritional status in patients with advanced cancer during treatment with palliative chemotherapy. In 20 patients with advanced cancer undergoing palliative (combination) chemotherapy, body weight, fat free mass (FFM), and cachexia were measured prior to the start and at 9 wk of treatment. History of weight loss was used to test differences in development of nutritional parameters during chemotherapy with use of independent sample t-tests. At baseline, 10 of 20 patients had lost ≥ 5% body weight during the past year and 5 patients were cachectic. The change in FFM in the first 9 wk of chemotherapy was significantly worse in patients with ≥ 5% weight loss compared to patients with <5% weight loss [mean difference: 3.5 kg (P = 0.001)]. Data also suggest that ≥ 5% weight loss predicts shorter survival (P = 0.03). We found that patients with ≥ 5% weight loss prior to chemotherapy have a deterioration in nutritional status during chemotherapy and may have a shorter survival. These results have to be confirmed in a larger study including a robust survival analysis.

Calculation of protein requirements; a comparison of calculations based on bodyweight and fat free mass.

BACKGROUND & AIMS: In dietary practice, it is common to estimate protein requirements on actual bodyweight, but corrected bodyweight (in cases with BMI <20 kg/m2 and BMI ≥30 kg/m2) and fat free mass (FFM) are also used. Large differences on individual level are noticed in protein requirements using these different approaches. To continue this discussion, the answer is sought in a large population to the following question: Will choosing actual bodyweight, corrected bodyweight or FFM to calculate protein requirements result in clinically relevant differences? METHODS: This retrospective database study, used data from healthy persons ≥55 years of age and in- and outpatients ≥18 years of age. FFM was measured by air displacement plethysmography technology or bioelectrical impedance analysis. Protein requirements were calculated as 1) 1.2 g (g) per kilogram (kg) actual bodyweight or 2) corrected bodyweight or 3) 1.5 g per kg FFM. To compare these three approaches, the approach in which protein requirement is based on FFM, was used as reference method. Bland-Altman plots with limits of agreement were used to determine differences, analyses were performed for both populations separately and stratified by BMI category and gender. RESULTS: In total 2291 subjects were included. In the population with relatively healthy persons (n = 506, ≥55 years of age) mean weight is 86.5 ± 18.2 kg, FFM is 51 ± 12 kg and in the population with adult in- and outpatients (n = 1785, ≥18 years of age) mean weight is 72.5 ± 18.4 kg, FFM is 51 ± 11 kg. Clinically relevant differences were found in protein requirement between actual bodyweight and FFM in most of the participants with overweight, obesity or severe obesity (78-100%). Using corrected bodyweight, an overestimation in 48-92% of the participants with underweight, healthy weight and overweight is found. Only in the Amsterdam UMC population, protein requirement is underestimated when using the approach of corrected bodyweight in participants with severe obesity. CONCLUSION: The three approaches in estimation of protein requirement show large differences. In the majority of the population protein requirement based on FFM is lower compared to actual or corrected bodyweight. Correction of bodyweight reduces the differences, but remain unacceptably large. It is yet unknown which method is the best for estimation of protein requirement. Since differences vary by gender due to differences in body composition, it seems more accurate to estimate protein requirement based on FFM. Therefore, we would like to advocate for more frequent measurement of FFM to determine protein requirements, especially when a deviating body composition is to be expected, for instance in elderly and persons with overweight, obesity or severe obesity.

Evaluation of Allied Healthcare in Patients Recovering from Covid-19: Study Protocol and Baseline Data of s National Prospective Cohort Study.

OBJECTIVE: To report the study protocol and baseline characteristics of a prospective cohort study to evaluate longitudinal recovery trajectories of patients recovering from COVID-19 who have visited a primary care allied health professional. DESIGN: Report of the protocol and baseline characteristics for a prospective cohort study with a mixed-methods approach. PATIENTS: Patients recovering from COVID-19 treated by primary care dietitians, exercise therapists, occupational therapists, physical therapists and/or speech and language therapists in the Netherlands. METHODS: The prospective study will measure primary outcome domains: participation, health-related quality of life, fatigue, physical functioning, and costs, at baseline, 3, 6, 9 and 12 months. Interviews, on the patients' experiences with allied healthcare, will be held with a subsample of patients and allied health professionals. RESULTS: The cohort comprises 1,451 patients (57% female, mean age 49 (standard deviation 13) years). Preliminary results for the study cohort show that 974 (67%) of the participants reported mild/moderate severity symptoms during the infection period and patients reported severe restrictions in activities of daily living compared with previous research in other patient populations. Both quantitative and qualitative, will provide insight into the recovery of patients who are treated by allied health professionals. CONCLUSION: In conclusion, this will be the first comprehensive study to longitudinally evaluate the recovery trajectories and related costs of patients recovering from COVID-19 who are treated by allied health professionals in the Netherlands. This study will provide evidence for the optimal strategy to treat patients recovering from COVID-19 infection, including which patients benefit, and to what extent, from treatment, and which factors might impact their recovery course over time. The preliminary results of this study demonstrated the severity of restrictions and complaints at the start of therapy are substantial.

Poor nutritional status, risk of sarcopenia and nutrition related complaints are prevalent in COVID-19 patients during and after hospital admission.

BACKGROUND AND AIMS: Patients with COVID-19 infection presents with a broad clinical spectrum of symptoms and complications. As a consequence nutritional requirements are not met, resulting in weight- and muscle loss, and malnutrition. The aim of the present study is to delineate nutritional complaints, the (course of the) nutritional status and risk of sarcopenia of COVID-19 patients, during hospitalisation and after discharge. METHODS: In this prospective observational study in 407 hospital admitted COVID-19 patients in four university and peripheral hospitals, data were collected during dietetic consultations. Presence of nutrition related complaints (decreased appetite, loss of smell, changed taste, loss of taste, chewing and swallowing problems, nausea, vomiting, feeling of being full, stool frequency and consistency, gastric retention, need for help with food intake due to weakness and shortness of breath and nutritional status (weight loss, BMI, risk of sarcopenia with SARC-F ≥4 points) before, during hospital stay and after discharge were, where possible, collected. RESULTS: Included patients were most men (69%), median age of 64.8 ± 12.4 years, 60% were admitted to ICU at any time point during hospitalisation with a median LOS of 15 days and an in-hospital mortality rate of 21%. The most commonly reported complaints were: decreased appetite (58%), feeling of being full (49%) and shortness of breath (43%). One in three patients experienced changed taste, loss of taste and/or loss of smell. Prior to hospital admission, 67% of the patients was overweight (BMI >25 kg/m2), 35% of the patients was characterised as malnourished, mainly caused by considerable weight loss. Serious acute weight loss (>5 kg) was showed in 22% of the patents during the hospital stay; most of these patients (85%) were admitted to the ICU at any point in time. A high risk of sarcopenia (SARC-F ≥ 4 points) was scored in 73% of the patients during hospital admission. CONCLUSION: In conclusion, one in five hospital admitted COVID-19 patients suffered from serious acute weight loss and 73% had a high risk of sarcopenia. Moreover, almost all patients had one or more nutritional complaints. Of these complaints, decreased appetite, feeling of being full, shortness of breath and changed taste and loss of taste were the most predominant nutrition related complaints. These symptoms have serious repercussions on nutritional status. Although nutritional complaints persisted a long time after discharge, only a small group of patients received dietetic treatment after hospital discharge in recovery phase. Clinicians should consider the risks of acute malnutrition and sarcopenia in COVID-19 patients and investigate multidisciplinary treatment including dietetics during hospital stay and after discharge.

Validity of the "Rate-a-Plate" Method to Estimate Energy and Protein Intake in Acutely Ill, Hospitalized Patients.

BACKGROUND: Prevalence of malnutrition in hospitals has been reported around 20% and increases during hospitalization. The "Rate-a-Plate" method has been developed to monitor dietary intake and identify patients whose nutrition status deteriorates during hospitalization, but has not yet been validated. The objective was to study the validity and reliability of the method (phase 1) and redesign and revalidate a revised version (phase 2). METHODS: Detailed food records provided a reference method. A priori difference of >20% in energy or protein between the reference and the "Rate-a-Plate" method was determined as clinically relevant. Intraclass correlation coefficients were used to determine the reliability. RESULTS: In phase 1, 24 patients were included with a total 67 test days. In phase 2, 14 patients were included, 28 test days. In phase 1, the "Rate-a-Plate" method underestimated intake by 422 kcal (29%, ICC 0.349, 95% CI 304-541) and 5.7 g protein (10%, ICC 0.511, 95% CI 0.0-11.5). Underestimation was found in 65% and 23% for energy and protein intake, respectively. Underestimation was higher when patients had higher intake. In phase 2, underestimation was 109 kcal (7%, ICC 0.788, 95% CI -273 to 56) and 3.7 g protein (6%, ICC 0.905, 95% CI -8.4 to 1.0). In 32% and 21% of the cases, energy and protein intake were underestimated. CONCLUSION: The revised version of the "Rate-a-Plate" method is a valid method to monitor energy and protein intake of hospitalized patients and can be filled out by nutrition assistants. A larger validation study is required.

Fructo-oligosaccharides and fibre in enteral nutrition has a beneficial influence on microbiota and gastrointestinal quality of life.

OBJECTIVE: Intestinal microbiota is important in health and disease. The aim of this study was to evaluate the effect of fructo-oligosaccharides (FOS) and fibre-enriched tube feeding on quality of life and intestinal microbiota (faecal Bifidobacteria). MATERIAL AND METHODS: Nineteen out of 59 home-living, tube-feeding-dependent, adult patients and matched healthy controls were included in this randomized, double-blind study. After a washout period, patients received either no residue tube feeding (non-FOS group) or FOS and fibre-enriched tube feeding (FOS group). Quality of life as defined by the Gastrointestinal Quality of Life Index (GIQLI) and quantification of faecal Bifidobacteria were determined. RESULTS: At baseline, GIQLI scores in controls and patients were 88+/-12 and 67+/-14, respectively (p=0.001). Following 6 weeks' intervention, GIQLI scores remained stable (65+/-14 versus 67+/-17) in the FOS group, whereas the non-FOS group values decreased (68+/-17 versus 64+/-19). Baseline faecal samples contained 2. 1x 10(7)+/-3.5 x 10(7) and 2.1 x 10(6)+/-5.6 x10(6)Bifidobacteria (p=0.002) in controls and patients, respectively, with no differences between patient groups. During the intervention, this number remained stable in the FOS group (0.7 x 10(6)+/-1.3 x 10(6) versus 1.0 x 10(6)+/-1.3 x 10(6) baseline versus end-point), but decreased in the non-FOS group (3.6 x1 0(6)+/-8.0 x 10(6) versus 2.5 x 10(4)+/-4.0 x 10(4)). GIQLI scores were correlated with the number of faecal Bifidobacteria (r=0.41, p=0.007). CONCLUSIONS: The GIQL score for the tube-fed patients increased with the number of faecal Bifidobacteria, although in a non-linear way, and addition of FOS increased the number of Bifidobacteria. This suggests that prebiotic tube feeding may lead to a change in intestinal microbiota that could induce an increased quality of life in these patients.

Predicting resting energy expenditure in underweight, normal weight, overweight, and obese adult hospital patients.

BACKGROUND: When indirect calorimetry is not available, predictive equations are used to estimate resing energy expenditure (REE). There is no consensus about which equation to use in hospitalized patients. The objective of this study is to examine the validity of REE predictive equations for underweight, normal weight, overweight, and obese inpatients and outpatients by comparison with indirect calorimetry. METHODS: Equations were included when based on weight, height, age, and/or gender. REE was measured with indirect calorimetry. A prediction between 90 and 110% of the measured REE was considered accurate. The bias and root-mean-square error (RMSE) were used to evaluate how well the equations fitted the REE measurement. Subgroup analysis was performed for BMI. A new equation was developed based on regression analysis and tested. RESULTS: 513 general hospital patients were included, (253 F, 260 M), 237 inpatients and 276 outpatients. Fifteen predictive equations were used. The most used fixed factors (25 kcal/kg/day, 30 kcal/kg/day and 2000 kcal for female and 2500 kcal for male) were added. The percentage of accurate predicted REE was low in all equations, ranging from 8 to 49%. Overall the new equation performed equal to the best performing Korth equation and slightly better than the well-known WHO equation based on weight and height (49% vs 45% accurate). Categorized by BMI subgroups, the new equation, Korth and the WHO equation based on weight and height performed best in all categories except from the obese subgroup. The original Harris and Benedict (HB) equation was best for obese patients. CONCLUSIONS: REE predictive equations are only accurate in about half the patients. The WHO equation is advised up to BMI 30, and HB equation is advised for obese (over BMI 30). Measuring REE with indirect calorimetry is preferred, and should be used when available and feasible in order to optimize nutritional support in hospital inpatients and outpatients with different degrees of malnutrition.

Clinical nutrition in the hepatogastroenterology curriculum.

Gastroenterology (GE) used to be considered a subspecialty of internal medicine. Today, GE is generally recognized as a wide-ranging specialty incorporating capacities, such as hepatology, oncology and interventional endoscopy, necessitating GE-expert differentiation. Although the European Board of Gastroenterology and Hepatology has defined specific expertise areas in Advanced endoscopy, hepatology, digestive oncology and clinical nutrition, training for the latter topic is lacking in the current hepatogastroenterology (HGE) curriculum. Given its relevance for HGE practice, and being at the core of gastrointestinal functioning, there is an obvious need for training in nutrition and related issues including the treatment of disease-related malnutrition and obesity and its associated metabolic derangements. This document aims to be a starting point for the integration of nutritional expertise in the HGE curriculum, allowing a central role in the management of malnutrition and obesity. We suggest minimum endpoints for nutritional knowledge and expertise in the standard curriculum and recommend a focus period of training in nutrition issues in order to produce well-trained HGE specialists. This article provides a road map for the organization of such a training program. We would highly welcome the World Gastroenterology Organisation, the European Board of Gastroenterology and Hepatology, the American Gastroenterology Association and other (inter)national Gastroenterology societies support the necessary certifications for this item in the HGE-curriculum.

Effectiveness and cost-effectiveness of early screening and treatment of malnourished patients.

BACKGROUND: About 25-40% of hospital patients are malnourished. With current clinical practices, only 50% of malnourished patients are identified by the medical and nursing staff. OBJECTIVE: The objective of this study was to report the cost and effectiveness of early recognition and treatment of malnourished hospital patients with the use of the Short Nutritional Assessment Questionnaire (SNAQ). DESIGN: The intervention group consisted of 297 patients who were admitted to 2 mixed medical and surgical wards and who received both malnutrition screening at admission and standardized nutritional care. The control group consisted of a comparable group of 291 patients who received the usual hospital clinical care. Outcome measures were weight change, use of supplemental drinks, use of tube feeding, use of parenteral nutrition and in-between meals, number of consultations by the hospital dietitian, and length of hospital stay. RESULTS: The recognition of malnutrition improved from 50% to 80% with the use of the SNAQ malnutrition screening tool during admission to the hospital. The standardized nutritional care protocol added approximately 600 kcal and 12 g protein to the daily intake of malnourished patients. Early screening and treatment of malnourished patients reduced the length of hospital stay in malnourished patients with low handgrip strength (ie, frail patients). To shorten the mean length of hospital stay by 1 d for all malnourished patients, a mean investment of 76 euros (91 US dollars) in nutritional screening and treatment was needed. The incremental costs were comparably low in the whole group and in the subgroup of malnourished patients with low handgrip strength. CONCLUSIONS: Screening with the SNAQ and early standardized nutritional care improves the recognition of malnourished patients and provides the opportunity to start treatment at an early stage of hospitalization. The additional costs of early nutritional care are low, especially in frail malnourished patients.

Is dietetic treatment for undernutrition in older individuals in primary care cost-effective?

OBJECTIVES: Undernutrition in older age is associated with adverse clinical outcomes and high health care costs. This study aimed to evaluate the cost-effectiveness of a dietetic treatment in primary care compared with usual care in older, undernourished, community-dwelling individuals. DESIGN: A parallel randomized controlled trial. SETTING: Primary care. PARTICIPANTS: A total of 146 undernourished, independently living older (≥65 years) individuals. INTERVENTION: Dietetic treatment. MEASUREMENTS: Main outcomes were change in kilogram body weight compared with baseline and quality-adjusted life years (QALYs) after 6 months. Costs were measured from a societal perspective. The main analysis was performed according to the intention-to-treat principle. Multiple imputation was used to impute missing data and bootstrapping was used to estimate uncertainty surrounding cost differences and incremental cost-effectiveness ratios. Cost-effectiveness planes and cost-effectiveness acceptability curves were estimated. RESULTS: The participants were randomized to receive either dietetic treatment (n = 72) or usual care (n = 74). After 6 months, no statistically significant differences were found between the dietetic treatment and usual care group in body weight change (mean difference 0.78 kg, 95% CI -0.26-1.82), QALYs (mean difference 0.001, 95% CI -0.04-0.04) and total costs (mean difference €1645, 95% CI -525-3547). The incremental cost-utility ratio (ICUR) for QALYs was not interpretable. The incremental cost-effectiveness ratio (ICER) for body weight gain was 2111. The probability that dietetic treatment is cost-effective compared with usual care was 0.78 for a ceiling ratio of €5000 for body weight and 0.06 for a ceiling ratio of €20.000 for QALY. CONCLUSION: In this study, dietetic treatment in older, undernourished, community-dwelling individuals was not cost-effective compared with usual care.

Systematic screening for undernutrition in hospitals: predictive factors for success.

BACKGROUND & AIMS: Since 2007, systematic screening for undernutrition has become a performance indicator (PI) for hospitals within the National Benchmarks on Quality of Care of the Dutch Health Care Inspectorate (HCI). Its introduction was guided by a national implementation program. The aim of this study was to evaluate the screening results from 2007 to 2010 and to identify predictive factors for achieved screening results. METHODS: All 97 Dutch hospitals were obliged to report screening results to the HCI. An additional questionnaire was developed to determine hospital characteristics, including hospital type, size, participation in implementation program, screening tool used, use of electronic records, presence of hospital-wide or ward task forces, and protocol-defined referral. Multivariate linear regression analysis was used to identify predictive factors for the obtained screening results in 2010. RESULTS: The mean screening percentage increased from 51 ± 28% in 2007 (n = 75 hospitals, n = 340,000 patients) to 72 ± 17% in 2010 (n = 97; n = 1,050,000) (p < 0.01). Eighty-one hospitals returned the questionnaire. A higher screening percentage was associated with more clinical admissions (highest vs. lowest tertile: ß = 14.0, 95% CI 3.9-20.5; p < 0.01; middle vs. lowest: ß = 7.3, -0.8 to 15.6; p = 0.05), presence of protocol-defined referral to a dietician (ß = 10.5, 2.9-18.0; p < 0.01), and use of the SNAQ screening tool (vs. MUST: ß = 9.1, 1.7-16.6; p = 0.02). CONCLUSION: Screening percentages have increased significantly since the introduction of the PI. Screening was more frequent in hospitals which have more patient admissions, protocol-defined referral to a dietician, and who use the SNAQ screening tool. This information may assist in improving Dutch screening rates and in implementation in other countries.

Resting energy expenditure in head and neck cancer patients before and during radiotherapy.

BACKGROUND & AIMS: Weight loss is a frequently observed problem in patients with head and neck cancer (HNC) during radiotherapy. It is still to be assessed whether hypermetabolism is contributing to this problem. The aim of this study was to investigate hypermetabolism before radiotherapy, and changes in resting energy expenditure (REE) in HNC patients during radiotherapy. METHODS: REE was measured by indirect calorimetry in 71 patients with HNC before radiotherapy, after 3 and 6 weeks of radiotherapy, and 3 months after radiotherapy. The association between REE and tumour stage, CRP, and prior tumour surgery was analyzed by linear regression analyses. Forty healthy control subjects were one-to-one matched to 40 patients by gender, age and fat free mass (FFM) index to compare REE. RESULTS: Before radiotherapy, REE was not significantly different between patients and controls, neither in absolute values (1568 ± 247 vs. 1619 ± 244 kcal/d; p = 0.29), nor after weight-adjustment (22.1 ± 3.5 vs. 21.5 ± 3.3 kcal/kg, p = 0.42) or FFM-adjustment (31.5 ± 4.9 vs. 30.7 ± 4.5 kcal/kg, p = 0.38). REE was independent of tumour stage, CRP, and prior tumour surgery. REE (kcal/d) decreased during radiotherapy and thereafter by 9% from pre-radiotherapy (p < 0.01). Weight and FFM also decreased significantly over time (p < 0.001). REE adjusted for FFM decreased in the first 3 weeks of radiotherapy with 4% (B = -1.39 kcal/kg FFM, p < 0.01), increased at the end of radiotherapy and decreased again 3 months after radiotherapy (B = -1.31 kcal/kg FFM, p = 0.04). CONCLUSIONS: Head and neck cancer patients had normal REE before radiotherapy. During radiotherapy, REE decreased continuously with ongoing weight loss. However, weight loss is not the only explaining factor, since REE expressed per kg FFM showed a much more divergent course which is currently unexplained.

High prevalence of undernutrition in Dutch community-dwelling older individuals.

OBJECTIVE: To examine the prevalence of undernutrition in community-dwelling older individuals (≥65 y) using data from various settings. METHODS: A cross-sectional observational study was performed to examine the prevalence of undernutrition in three samples (all ≥65 y): 1) 1267 community-dwelling individuals participating in a large prospective population-based study, the Longitudinal Aging Study Amsterdam (LASA) in 1998/99; 2) 814 patients receiving home care in 2009/10; and 3) 1878 patients from general practices during the annual influenza vaccination in 2009/10. Undernutrition was assessed by the Short Nutritional Assessment Questionnaire 65+. RESULTS: Mean age was 77.3 y (SD 6.7) in the LASA sample, 81.6 y (SD 7.4) in the home care sample, and 75.3 y (SD 6.5) in the general practice sample. The prevalence of undernutrition was highest in the home care sample (35%), followed by the general practice (12%) and LASA (11%) samples. The prevalence of undernutrition increased significantly with age in the general practice and LASA samples. Gender differences were observed in the general practice and home care samples; women were more likely to be undernourished in the general practice sample and men were more likely to be undernourished in the home care sample. CONCLUSION: The prevalence of undernutrition in Dutch community-dwelling older individuals was relatively high, especially in home care patients.

Development and validation of criteria for determining undernutrition in community-dwelling older men and women: The Short Nutritional Assessment Questionnaire 65+.

BACKGROUND & AIMS: There is no valid, fast and easy-to-apply set of criteria to determine (risk of) undernutrition in community-dwelling older persons. The aim of this study was to develop and validate such criteria. METHODS: Selection of potential anthropometric and undernutrition-related items was based on consensus literature. The criteria were developed using 15-year mortality in community-dwelling older persons ≥ 65 years (Longitudinal Aging Study Amsterdam, n = 1687) and validated in an independent sample (InCHIANTI, n = 1142). RESULTS: Groups distinguished were: (1) undernutrition (mid-upper arm circumference <25 cm or involuntary weight loss ≥4 kg/6 months); (2) risk of undernutrition (poor appetite and difficulties climbing staircase); and (3) no undernutrition (others). Respective hazard ratio's for 15-year mortality were: (1) 2.22 (95% CI 1.83-2.69); and (2) 1.57 (1.22-2.01) ((3) = reference). The area under the curve (AUC) was 0.55. Comparable results were found stratified by sex, excluding cancer/obstructive lung disease/(past) smoking, using 6-year mortality, and applying results to the InCHIANTI study (hazard ratio's 2.12 and 2.46, AUC 0.59). CONCLUSIONS: The developed set of criteria (SNAQ65⁺) for determining (risk of) undernutrition in community-dwelling older persons shows good face validity and moderate predictive validity based on the consistent association with mortality in a second independent study sample.