Food Literacy Is Associated With Adherence to a Mediterranean-Style Diet in Kidney Transplant Recipients.

OBJECTIVES: Adherence to a Mediterranean-style diet is associated with improved health outcomes in kidney transplant recipients (KTR). However, poor dietary habits, including excessive sodium intake, are common in KTR, indicating difficulties with incorporating a healthy diet into daily life. Food literacy is identified as potential facilitator of a healthy diet, but the precise relationship between food literacy and dietary intake in KTR has not been investigated. This study examined food literacy levels in KTR and its association with adherence to a Mediterranean-style diet and sodium intake. METHODS: This cross-sectional study is part of the TransplantLines Cohort and Biobank Study. Food literacy was measured with the Self-Perceived Food Literacy (SPFL) questionnaire. Dietary intake assessment with food frequency questionnaires was used to calculate the Mediterranean Diet Score. Sodium intake was based on the 24-hour urinary sodium excretion rate. Associations of SPFL with Mediterranean Diet Score and sodium intake were assessed with univariable and multivariable linear regression analyses. RESULTS: In total, 148 KTR (age 56 [48-66]; 56% male) completed the SPFL questionnaire with a mean SPFL score of 3.63 ± 0.44. Higher SPFL was associated with a higher Mediterranean Diet Score in KTR (ß = 1.51, 95% confidence interval 0.88-2.12, P ≤ .001). Although KTR with higher food literacy tended to have a lower sodium intake than those with lower food literacy (P = .08), the association of food literacy with sodium intake was not significant in a multivariable regression analysis (ß = 0.52 per 10 mmol/24-hour increment, 95% confidence interval -1.79 to 2.83, P = .66). CONCLUSIONS: Higher levels of food literacy are associated with better adherence to a Mediterranean-style diet in KTR. No association between food literacy and sodium intake was found. Further studies are needed to determine if interventions on improving food literacy contribute to a healthier diet and better long-term outcomes in KTR.

Muscle mass, muscle strength and mortality in kidney transplant recipients: results of the TransplantLines Biobank and Cohort Study.

BACKGROUND: Survival of kidney transplant recipients (KTR) is low compared with the general population. Low muscle mass and muscle strength may contribute to lower survival, but practical measures of muscle status suitable for routine care have not been evaluated for their association with long-term survival and their relation with each other in a large cohort of KTR. METHODS: Data of outpatient KTR ≥ 1 year post-transplantation, included in the TransplantLines Biobank and Cohort Study (ClinicalTrials.gov Identifier: NCT03272841), were used. Muscle mass was determined as appendicular skeletal muscle mass indexed for height2 (ASMI) through bio-electrical impedance analysis (BIA), and by 24-h urinary creatinine excretion rate indexed for height2 (CERI). Muscle strength was determined by hand grip strength indexed for height2 (HGSI). Secondary analyses were performed using parameters not indexed for height2. Cox proportional hazards models were used to investigate the associations between muscle mass and muscle strength and all-cause mortality, both in univariable and multivariable models with adjustment for potential confounders, including age, sex, body mass index (BMI), estimated glomerular filtration rate (eGFR) and proteinuria. RESULTS: We included 741 KTR (62% male, age 55 ± 13 years, BMI 27.3 ± 4.6 kg/m2), of which 62 (8%) died during a median [interquartile range] follow-up of 3.0 [2.3-5.7] years. Compared with patients who survived, patients who died had similar ASMI (7.0 ± 1.0 vs. 7.0 ± 1.0 kg/m2; P = 0.57), lower CERI (4.2 ± 1.1 vs. 3.5 ± 0.9 mmol/24 h/m2; P < 0.001) and lower HGSI (12.6 ± 3.3 vs. 10.4 ± 2.8 kg/m2; P < 0.001). We observed no association between ASMI and all-cause mortality (HR 0.93 per SD increase; 95% confidence interval [CI] [0.72, 1.19]; P = 0.54), whereas CERI and HGSI were significantly associated with mortality, independent of potential confounders (HR 0.57 per SD increase; 95% CI [0.44, 0.81]; P = 0.002 and HR 0.47 per SD increase; 95% CI [0.33, 0.68]; P < 0.001, respectively), and associations of CERI and HGSI with mortality remained independent of each other (HR 0.68 per SD increase; 95% CI [0.47, 0.98]; P = 0.04 and HR 0.53 per SD increase; 95% CI [0.36, 0.76]; P = 0.001, respectively). Similar associations were found for unindexed parameters. CONCLUSIONS: Higher muscle mass assessed by creatinine excretion rate and higher muscle strength assessed by hand grip strength are complementary in their association with lower risk of all-cause mortality in KTR. Muscle mass assessed by BIA is not associated with mortality. Routine assessment using both 24-h urine samples and hand grip strength is recommended, to potentially target interdisciplinary interventions for KTR at risk for poor survival to improve muscle status.

Malnutrition according to GLIM criteria in stable renal transplant recipients: Reduced muscle mass as predominant phenotypic criterion.

BACKGROUND & AIMS: Malnutrition has a negative impact on quality of life and survival in renal transplant recipients (RTR). Therefore, malnutrition detection is important in RTR, but this may be hampered by concomitant presence of weight gain and overweight. Recently, the Global Leadership Initiative on Malnutrition (GLIM) developed a set of diagnostic criteria for malnutrition. We aimed to assess the prevalence of malnutrition according to the GLIM criteria and the distribution of phenotypic criteria in RTR. Additionally, we examined the potential value of 24-h urinary creatinine excretion rate (CER) as alternative measure for the criterion reduced muscle mass. METHODS: We used data from stable outpatient RTR included in the TransplantLines Cohort and Biobank Study (NCT02811835). Presence of weight loss and reduced intake or assimilation were derived from Patient-Generated Subjective Global Assessment (PG-SGA) item scores. Reduced muscle mass was assessed by multi-frequency bio-electrical impedance analysis (MF-BIA) and defined as an appendicular skeletal muscle mass index (ASMI) < 7 kg/m2 for men and <5.5 kg/m2 for women, and in additional analysis defined as creatinine-height index (CHI, based on 24 h urine CER) < 80%. Inflammation was present if C-reactive protein (CRP) was >5 mg/L. Malnutrition was defined as presence of at least one phenotypic (weight loss and/or low BMI and/or reduced muscle mass) and one etiologic criterion (reduced intake/assimilation and/or disease burden/inflammation). RESULTS: We included 599 RTR (55 ± 13 years old, 62% male, BMI 27.2 ± 4.7 kg/m2) at a median of 3.1 years after transplantation. According to GLIM criteria, 14% was malnourished, of which 91% met the phenotypic criterion for reduced muscle mass. Similar results were found by using CHI as measure for muscle mass (13% malnutrition of which 79% with reduced muscle mass). CONCLUSIONS: Malnutrition is present in one in 7 stable RTR, with reduced muscle mass as the predominant phenotypic criterion. Assessment of nutritional status, most importantly muscle status, is warranted in routine care, to prevent malnutrition in RTR from remaining undetected and untreated. The diagnostic value of 24-h urinary CER in this regard requires further investigation.

Malnutrition Universal Screening Tool and Patient-Generated Subjective Global Assessment Short Form and their predictive validity in hospitalized patients.

BACKGROUND AND AIMS: Malnutrition screening is a first step in the nutrition care process for hospitalized patients, to identify those at risk of malnutrition and associated worse outcome, preceding further assessment and intervention. Frequently used malnutrition screening tools including the Malnutrition Universal Screening Tool (MUST) mainly screen for characteristics of malnutrition, while the Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF) additionally includes risk factors for development of malnutrition, yielding a higher percentage of patients at risk. To investigate whether this translates into higher risk of worse outcome, we aimed to determine the predictive validity of MUST and PG-SGA SF for prolonged hospitalization >8 days, readmission, and mortality <6 months after hospital discharge. METHODS: In this observational study, MUST was performed according to university hospital protocol. Additional screening using PG-SGA SF was performed within 24 h of hospital admission (high risk: MUST ≥ 2, PG_SGA SF ≥ 9). Associations of MUST and PG-SGA SF with outcomes were analyzed by logistic- and Cox PH-regression. RESULTS: Of 430 patients analyzed (age 58 ± 16 years, 53% male, BMI 26.9 ± 5.5 kg/m2), MUST and PG-SGA SF identified 32 and 80 at high risk, respectively. One-hundred-eight patients had prolonged hospitalization, 109 were readmitted and 20 died. High risk by MUST was associated with mortality (HR = 3.9; 95% CI 1.3-12.2, P = 0.02), but not with other endpoints. High risk by PG-SGA SF was associated with prolonged hospitalization (OR = 2.5; 95% CI 1.3-5.0, P = 0.009), readmission (HR = 1.9; 95% CI 1.1-3.2, P = 0.03), and mortality (HR = 34.8; 95% CI 4.2-289.3, P = 0.001), independent of age, sex, hospital ward and previous hospitalization <6 months. In the 363/430 patients classified as low risk by MUST, high risk by PG-SGA SF was independently associated with higher risk of readmission (HR = 1.9; 95% CI 1.0-3.5, P = 0.04) and mortality (HR = 19.5; 95% CI 2.0-189.4, P = 0.01). CONCLUSIONS: Whereas high malnutrition risk by MUST was only associated with mortality, PG-SGA SF was associated with higher risk of prolonged hospitalization, readmission, and mortality. In patients considered as low risk by MUST, high malnutrition risk by PG-SGA SF was also predictive of worse outcome. Our findings support the use of PG-SGA SF in routine care to identify patients at risk of malnutrition and worse outcome, and enable proactive interventions.

Malnutrition screening on hospital admission: impact of overweight and obesity on comparative performance of MUST and PG-SGA SF.

BACKGROUND/OBJECTIVES: Traditional malnutrition screening instruments, including the Malnutrition Universal Screening Tool (MUST), strongly rely on low body mass index (BMI) and weight loss. In overweight/obese patients, this may result in underdetection of malnutrition risk. Alternative instruments, like the Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF), include characteristics and risk factors irrespective of BMI. Therefore, we aimed to compare performance of MUST and PG-SGA SF in malnutrition risk evaluation in overweight/obese hospitalized patients. SUBJECTS/METHODS: We assessed malnutrition risk using MUST (≥1 = increased risk) and PG-SGA SF (≥4 = increased risk) in adult patients at hospital admission in a university hospital. We compared results for patients with BMI < 25 kg/m2 vs. BMI ≥ 25 kg/m2. RESULTS: Of 430 patients analyzed (58 ± 16 years, 53% male, BMI 26.9 ± 5.5 kg/m2), 35% were overweight and 25% obese. Malnutrition risk was present in 16% according to MUST and 42% according to PG-SGA SF. In patients with BMI < 25 kg/m2, MUST identified 31% as at risk vs. 52% by PG-SGA SF. In patients with BMI ≥ 25 kg/m2, MUST identified 5% as at risk vs. 36% by PG-SGA SF. Agreement between MUST and PG-SGA SF was low (к = 0.143). Of the overweight/obese patients at risk according to PG-SGA SF, 83/92 (90%) were categorized as low risk by MUST. CONCLUSIONS: More than one-third of overweight/obese patients is at risk for malnutrition at hospital admission according to PG-SGA SF. Most of them are not identified by MUST. Awareness of BMI-dependency of malnutrition screening instruments and potential underestimation of malnutrition risk in overweight/obese patients by using these instruments is warranted.

High prevalence of malnutrition both on hospital admission and predischarge.

OBJECTIVES: In Dutch hospitals malnutrition screening is routinely performed at admission, but not during follow-up or before discharge. Therefore we evaluated nutritional status during hospitalization and predischarge in a routine care setting. METHODS: The Patient-Generated Subjective Global Assessment (PG-SGA) was used to assess nutritional status (PG-SGA Categories: A = well nourished, B = moderate/suspected malnutrition, C = severely malnourished) in adult patients on four wards of a university hospital at admission, day 5, day 10, and day ≥15. Because data were obtained in the context of clinical routine, not all data points are available for all patients. Last assessment before discharge (within ≤4 d) was taken as predischarge measurement. RESULTS: PG-SGA data at admission were obtained in 584 patients (age 57.2 ± 17.3 y, 51.4% women, body mass index 27.0 ± 5.5 kg/m2). Prevalence of PG-SGA stage B/C was 31% at admission, 56% on day 5 (n = 292), 66% on day 10 (n = 101), and 79% on day ≥15 (n = 14). PG-SGA predischarge data were available in 537 patients, 36% of whom were PG-SGA stage B/C. Of the 91 patients assessed both at admission and predischarge, 30% of well-nourished patients became malnourished and 82% of malnourished patients remained so. CONCLUSIONS: Prevalence of malnutrition in hospitalized patients is high at admission (31%) and, importantly, also high predischarge (36%). Malnutrition is more prevalent in patients with a longer length of stay. These findings underscore the importance of follow-up of nutritional status in hospitalized patients and adequate transmural nutrition care after discharge to prevent malnutrition from remaining undetected and untreated.

Protein Intake, Fatigue and Quality of Life in Stable Outpatient Kidney Transplant Recipients.

Fatigue is a frequent complaint in kidney transplant recipients (KTR), often accompanied by poor quality of life (QoL). The role of nutrition as determinant of fatigue in KTR is largely unexplored. The aims of this study are to examine the association of protein intake with fatigue and QoL in KTR and to identify other determinants of fatigue. This cross-sectional study is part of the TransplantLines Cohort and Biobank Study (NCT03272841). Protein intake was calculated from urinary urea nitrogen (UUN) in 24-h urine samples. Fatigue was assessed by the Checklist Individual Strength (CIS) questionnaire; moderate and severe fatigue were defined as a CIS score of 20-34 and ≥ 35, respectively. QoL was assessed with the RAND-36-Item Health Survey (RAND-36). Associations of protein intake with fatigue and QoL were analyzed using multinomial logistic and linear regression analyses. We included 730 stable outpatient KTR (median age 58 year [IQR 48-65], 57% male) with a mean protein intake of 82.2 ± 21.3 g/d. Moderate and severe fatigue were present in 254 (35%) and 245 (34%) of KTR. Higher protein intake was significantly associated with lower risk of moderate fatigue (OR 0.89 per 10 g/d; 95%CI 0.83-0.98, p = 0.01), severe fatigue (OR 0.85; 95%CI 0.78-0.92, p < 0.001) and was associated with higher physical component summary score of QoL (ß 0.74 per 10 g/d; 95%CI 0.39-1.09, p < 0.001). Higher BMI, a history of dialysis, glomerulonephritis as primary kidney disease and a history of combined organ transplantation were also associated with severe fatigue. In conclusion, amongst the potential modifiable factors of fatigue, higher protein intake is independently associated with lower risk of moderate and severe fatigue and with better QoL in KTR. These findings underline the need to incorporate nutritional assessment in the diagnostic work-up of fatigue. Intervention studies are needed to assess the benefits and safety of higher protein intake in KTR.

Effect of high compared with low dairy intake on blood pressure in overweight middle-aged adults: results of a randomized crossover intervention study.

BACKGROUND: Observational studies suggest that high dairy intake is associated with a lower blood pressure (BP). OBJECTIVE: We aimed to investigate the effect of a high-dairy diet (HDD) as compared with a low-dairy diet (LDD) on BP in overweight middle-aged adults. METHODS: Fifty-two overweight men and women were included in a randomized crossover intervention study. Each subject consumed 2 isocaloric diets for 6 wk, an LDD (≤1 dairy portion per day) and an HDD (6 or 5 reduced-fat dairy portions for men and women, respectively), with a 4-wk washout period in between the diets during which the subjects consumed their habitual diet. BP was measured at the start and at the end of the intervention diets. The effect of the intervention study was evaluated by 2-sample t tests. Mixed-model analyses were used for adjustment for the potential influence of changes in dietary protein and mineral intake and risk factors for hypertension including body weight and plasma cholesterol. RESULTS: Consumption of an HDD as compared with an LDD resulted in a reduction of both systolic BP (mean ± SD: 4.6 ± 11.2 mm Hg, P < 0.01) and diastolic BP (3.0 ± 6.7 mm Hg, P < 0.01). In further analyses, these reductions appeared dependent on the concomitant increase in calcium intake. CONCLUSIONS: This intervention study shows that an HDD results in a reduction of both systolic and diastolic BP in overweight middle-aged men and women. If the results of our study are reproduced by other studies, advice for high dairy intake may be added to treatment and prevention of high BP. This trial was registered at trialregister.nl as NTR4899.

The effect of high compared with low dairy consumption on glucose metabolism, insulin sensitivity, and metabolic flexibility in overweight adults: a randomized crossover trial.

BACKGROUND: Dairy products contain many nutritious components that may benefit metabolic health. There are indications that glucose metabolism and insulin sensitivity, which are generally disturbed in overweight and obese individuals, may improve by increased dairy intake. This may also affect one's metabolic flexibility. OBJECTIVE: The aim of this study was to investigate the effects of high compared with low dairy intake on glucose metabolism, insulin sensitivity, and metabolic flexibility in overweight adults (aged 45-65 y). METHODS: In this randomized intervention study, subjects consumed a high- and a low-dairy diet [HDD (5-6 dairy portions) and LDD (≤1 dairy portion), respectively] for 6 wk in a crossover design, with a washout period of 4 wk. Dairy portions were 200 g semi-skimmed yoghurt, 30 g reduced-fat (30+) cheese, and 250 mL semiskimmed milk and buttermilk. After 6 wk, a 75-g oral-glucose-tolerance test (13C-labeled) and a subsequent fasting challenge were performed. Metabolic flexibility was studied by determining the respiratory quotient (RQ) using indirect calorimetry. Fasting and postprandial plasma concentrations of glucose and insulin were analyzed. The dual isotope technique enabled calculation of glucose kinetics. RESULTS: The study was completed by 45 overweight men and postmenopausal women [age 58.9 ± 4.3 y, BMI 27.9 ± 1.9 kg/m2 (mean ± SD)]. Fasting RQ and ΔRQ, reflecting metabolic flexibility, did not differ after both diets. Fasting glucose concentrations were similar, whereas fasting insulin concentrations were lower after the LDD (LDD: 8.1 ± 2.8 mU/L; HDD: 8.9 ± 3.3 mU/L; P = 0.024). This resulted in a higher HOMA-IR after the HDD (P = 0.027). Postprandial glucose and insulin responses as well as glucose kinetics were similar after both diets. CONCLUSIONS: The amount of dairy intake during a 6-wk period had a neutral effect on metabolic flexibility or postprandial glucose metabolism in middle-aged overweight subjects. More trials are needed to study the effects of specific dairy types and to differentiate between metabolic subgroups. This trial was registered at trialregister.nl as NTR4899.