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Background/objectives: The Mini Nutritional Assessment Short-Form (MNA-SF) is the recommended screening tool for older persons. Data on interrater reliability in clinical routine are rare. Thus, we wanted to quantify the interrater reliability of the MNA-SF in hospital. Subjects/methods: This observational cross-sectional study was undertaken retrospectively. The study population comprised 105 participants. Risk of malnutrition was measured twice with the routine MNA-SF performed by nurses (within 24 h after admission) and a dedicated dietician (one to three days after the first MNA-SF). The MNA-SF score was analyzed for interrater reliability between nurse and dietician. Results: Participants’ mean age was 82.4 (±7.1) years and 71 (68%) were women. The mean total MNA-SF score was 7.4 (±2.4) assessed by dietician and 7.8 (±2.3) assessed by nurse. The intra-class correlation coefficient between the total MNA-SF scores was 0.74 (0.61; 0.82), indicating moderate reliability. For the MNA-SF nutritional status, Cohens Kappa was 0.37 (p< 0.05) showing a fair agreement. Conclusion: Multiple misclassifications were observed between malnutrition and risk of malnutrition. Because mean scores were near the border between malnutrition and risk of malnutrition, we recommend to consider the total MNA-SF score in addition to the three risk groups to assess nutritional risk in geriatric hospital patients.

Background/Objectives: Iron deficiency is common in older patients. We investigated whether iron deficiency is an independent risk factor for functional impairment, low muscle function, fatigue, and rehabilitation progress in older hospitalized patients. Subjects/Methods: Two hundred twenty-four patients (age range 65–95 years; 67% females) who were consecutively admitted to a geriatric acute care ward participated in this prospective longitudinal observational study. Ferritin, iron, transferrin in serum, and blood hemoglobin were measured and current iron supplementation was recorded. Fatigue and comorbidity were measured using the fatigue severity scale and Charlson Comorbidity Index, respectively. Barthel Index, handgrip strength, and isometric knee extension strength were conducted at the time of hospital admission and before discharge. Results: Ninety-one (41%) patients had iron deficiency in which the majority had functional iron deficiency (78/91, 86%). Absolute iron deficiency with and without anemia was diagnosed in 12 (13%) and one patients, respectively. Barthel Index and handgrip and knee extension strength significantly improved during hospitalization in iron deficiency and non-iron deficiency groups. Knee extension strength showed better improvement in iron-deficient patients receiving iron supplementation and iron supplementation during hospital stay was the main predictor for improvement in knee extension strength. Comorbidity, iron deficiency, and changes in handgrip strength were the major independent risk factors for poor improvement in Barthel Index during hospitalization. There were significant associations between patients’ fatigue and iron deficiency, comorbidity, and female gender. Conclusion: Iron deficiency is an independent risk factor for fatigue and poor functional recovery among older hospitalized patients. Iron supplementation seems to be capable of improving functional performance.

Background/objectives: In the recently introduced GLIM diagnosis of malnutrition (Global Leadership Initiative on Malnutrition), details of how to classify inflammation as an etiologic criterion are lacking. This study aimed to determine at what level of serum C-reactive protein (CRP) the risk of low food intake increases in acutely ill older hospitalized patients. Subjects/methods: A total of 377 patients, who were consecutively admitted to a geriatric acute care ward, were analyzed. Nutritional intake was determined using the food intake item of Nutritional Risk Screening and the plate diagram method and patients were grouped into three categories as >75%, 50–75% and ≤50% of requirements. CRP was analyzed according to standard procedures and patients were classified into different CRP groups as follows: 0.0–0.99 mg/dl, 1.0–1.99 mg/dl, 2.0–2.99 mg/dl, 3.0–4.99 mg/dl, 5.0–9.99 mg/dl and ≥10.0 mg/dl. Results: Of the total population (mean age of 82.2 ± 6.6 years; 241 females), 82 (22%) had intake <50% of requirements and 126 (33%) demonstrated moderate to severe inflammation. Patients with food intake <50% of requirements had a significantly higher median CRP level compared to patients with food intake >75% of requirements (P< 0.001). The group with serum-CRP levels above 3.0 mg/dl had a markedly higher proportion of patients with low food intake; i.e., <50% and <75% of the requirements. Conclusion: A serum-CRP of 3.0 mg/dl appears to be a reasonable threshold of acute inflammation leading to reduced food intake to serve as an orientation with regard to the inflammation criterion of the GLIM diagnosis in acutely ill older patients.

Aim: The objective of this study is to generate metabolic phenotypes based on structure–function relationships. Methods: In 459 healthy adults (54% females, 18 and 40 years old), we analyzed body composition by air-displacement densitometry (to assess fat mass, (FM) and fat-free mass (FFM)) and whole-body magnetic resonance imaging (to assess skeletal muscle mass (SMM) and masses of brain, heart, liver, kidneys, and subcutaneous (SAT) and visceral adipose tissue (VAT)), resting energy expenditure (REE) by indirect calorimetry, and plasma concentrations of insulin (Ins) and leptin (Lep). Results: Three “functional body composition-derived phenotypes” (FBCPs) were derived: (1) REE on FFM-FBCP, (2) Lep on FM-FBCP, and (3) Ins on VAT-FBCP. Assuming that being within the ±?5% range of the respective regression lines reflects a “normal” structure–function relationship, three “normal” FBCPs were generated with prevalences of 9.0%, 5.1%, and 6.8%, respectively, of the study population. The three “FBCPs” did not overlap and were independent from each other. When compared with the two other FBCPs, the “Lep on FM-FBCP” was leanest, whereas the “REE on FFM-FBCP” had the highest BMI and SAT. Taking into account FFM composition, a hierarchical multi-level model is proposed with brain at level 1, the liver at level 2, and SMM and FM at level 3 with insulin coordinating the interplay between level 1 and 2, whereas variance in plasma insulin levels impacts energy and substrate metabolism in SMM and AT. Conclusion: Structure–function relationships can be used to generate FBCPs. Different FBCPs reflect different dimensions of normality (or health). This is evidence for the idea that there is no across the board “normal” state.

We investigated whether fat mass (FM) and total adipose tissue (TAT) can be used interchangeably and FM per TAT adds to metabolic risk assessment. Cross-sectional data were assessed in 377 adults (aged 18–60 years; 51.2% women). FM was measured by either 4-compartment (4C) model or quantitative magnetic resonance (QMR); total-, subcutaneous- and visceral adipose tissue (TAT, SAT, VAT), and liver fat by whole-body MRI; leptin, insulin, homeostasis model assessment of insulin resistance (HOMA-IR), C-reactive protein (CRP), and triglycerides; resting energy expenditure and respiratory quotient by indirect calorimetry were determined. Correlations and stepwise multivariate regression analyses were performed. FM4Cand FMQMRwere associated with TAT (r4C= 0.96, rQMR= 0.99) with a mean FM per TAT of 0.85 and 1.01, respectively. Regardless of adiposity, there was a considerable inter-individual variance of FM/TAT-ratio (FM4C/TAT-ratio: 0.77–0.94; FMQMR/TAT-ratio: 0.89–1.10). Both, FM4Cand TAT were associated with metabolic risks. Further, FM4C/TAT-ratio was positively related to leptin but inversely with CRP. There was no association between FM4C/TAT-ratio and VAT/SAT or liver fat. FM4C/TAT-ratio added to the variance of leptin and CRP. Independent of FM or TAT, FM4C/TAT-ratio adds to metabolic risk assessment. Therefore, the interchangeable use of FM and TAT to assess metabolic risks is questionable as both parameters may complement each other.

Whole-body daily energy expenditure is primarily due to resting energy expenditure (REE). Since there is a high inter-individual variance in REE, a quantitative and predictive framework is needed to normalize the data. Complementing the assessment of REE with data normalization makes individuals of different sizes, age, and sex comparable. REE is closely correlated with body mass suggesting its near constancy for a given mass and, thus, a linearity of this association. Since body mass and its metabolic active components are the major determinants of REE, they have been implemented into allometric modeling to normalize REE for quantitative differences in body weight and/or body composition. Up to now, various size and allometric scale laws are used to adjust REE for body mass. In addition, the impact of the anatomical and physical properties of individual body components on REE has been quantified in large populations and for different age groups. More than 80% of the inter-individual variance in REE is explained by FFM and its composition. There is evidence that the impact of individual organs on REE varies between age groups with a higher contribution of brain and visceral organs in children/adolescents compared with adults where skeletal muscle mass contribution is greater than in children/adolescents. However, explaining REE variations by FFM and its composition has its own limitations (inter-correlations of organs/tissues). In future, this could be overcome by re-describing the organ-to-organ variation using principal components analysis and then using the scores on the components as predictors in a multiple regression analysis.

The relationship between hypophosphatemia (HP) and malnutrition in older hospitalized patients has received little attention. We sought to investigate this association among this population. The study participants were consecutively admitted to a geriatric acute care ward in six hospitals. Malnutrition screening was conducted by Mini Nutritional Assessment-Short Form. Patients were divided into two groups according to serum phosphate: HP (<0.68 mmol/l) and non-HP groups (>0.68 mmol/l). Of 335 participants, 7% of subjects had HP. Malnutrition or nutritional risk was present in 86 and 56% of participants with and without HP, respectively (P= 0.003). The analysis indicated 9.8, 86.4, 97.9 and 44.0% sensitivity, positive predictive value, specificity and negative predictive value of HP with regard to malnutrition, respectively. This study demonstrated that HP in older hospitalized patients is associated with malnutrition and may be used as an indicator of nutritional risk. Contrary, normal serum phosphate does not exclude being at nutritional risk.