Mediterranean Diet: A Dietary Pattern Related to Nutritional Benefits for Hemodialysis Patients.

OBJECTIVES: In adults with chronic kidney disease, not on dialysis, there is a recent recommendation suggesting the prescription of a Mediterranean diet pattern but there is still no evidence to suggest a specific dietary pattern for hemodialysis (HD) patients. The aim of this study was to identify dietary patterns in HD patients and analyze their relationship with nutritional status, physical activity, and survival. DESIGN AND METHODS: This was a longitudinal prospective multicenter study with 12 months of follow-up that included 582 HD patients from 37 dialysis centers. Clinical parameters, dietary intake, and physical activity were assessed. Dietary patterns were derived from principal component analysis. A p-value lower than 0.05 was considered statistically significant. RESULTS: Three different dietary patterns were identified: "Mediterranean," "Western," and "low animal protein." Patients in the Mediterranean pattern group showed higher intakes of protein (P = .040), omega 3 fatty acids (P < .001), vitamins B12 (P < .001), B6 (P < .001), C (P < .001), D (P < .001), folic acid (P < .001) and presented a higher practice of moderate physical activity (P = .010). Despite the lower number of deaths that occurred in the Mediterranean dietary pattern group, we did not observe a statistically significant lower mortality risk (P = .096). CONCLUSIONS: The Mediterranean style pattern was associated with a better nutritional intake profile and lifestyle related factors such as a higher practice of moderate physical activity in HD patients.

Potassium Intake-(Un)Expected Non-Predictor of Higher Serum Potassium Levels in Hemodialysis DASH Diet Consumers.

As high serum potassium levels can lead to adverse outcomes in hemodialysis (HD) patients, dietary potassium is frequently restricted in these patients. However, recent studies have questioned whether dietary potassium really affects serum potassium levels. The dietary approaches to stop hypertension (DASH) diet is considered a healthy dietary pattern that has been related to lower risk of developing end-stage kidney disease. The aim of this study was to analyze the association between a dietary pattern with high content of potassium-rich foods and serum potassium levels in HD patients. This was an observational, cross-sectional, multicenter study with 582 HD patients from 37 dialysis centers. Clinical and biochemical data were registered. Dietary intake was obtained using the Food Frequency Questionnaire. Adherence to the DASH dietary pattern was obtained from Fung's DASH index. All statistical tests were performed using SPSS 26.0 software. A p-value lower than 0.05 was considered statistically significant. Patients' mean age was 67.8 ± 17.7 years and median HD vintage was 65 (43−104) months. Mean serum potassium was 5.3 ± 0.67 mEq/L, dietary potassium intake was 2465 ± 1005 mg/day and mean Fung´s Dash Index was 23.9 ± 3.9. Compared to the lower adherence to the DASH dietary pattern, patients with a higher adherence to the DASH dietary pattern were older (p < 0.001); presented lower serum potassium (p = 0.021), serum sodium (p = 0.028), total fat intake (p = 0.001) and sodium intake (p < 0.001); and had higher carbohydrate intake (p < 0.001), fiber intake (p < 0.001), potassium intake (p < 0.001), phosphorus intake (p < 0.001) and body mass index (p = 0.002). A higher adherence to this dietary pattern was a predictor of lower serum potassium levels (p = 0.004), even in the adjusted model (p = 0.016). Following the DASH dietary pattern, which is rich in potassium, is not associated with increased serum potassium levels in HD patients. Furthermore, a higher adherence to the DASH dietary pattern predicts lower serum potassium levels. Therefore, generalized dietary potassium restrictions may not be adequate, at least for those with a DASH diet plan.

Zinc Deficient Intake in Hemodialysis Patients: A Path to a High Mortality Risk.

BACKGROUND: Zinc is essential for human nutrition and plays an important role in hemodialysis (HD) patients. The aim of this study is to analyze the relationship between zinc intake and mortality in HD patients. METHODS: This is a longitudinal, prospective, multicenter study with 582 HD patients from 37 dialysis centers. We recorded clinical and body composition parameters. Dietary intake and physical activity data were obtained using the Food Frequency Questionnaire and International Physical Activity Questionnaire. All statistical tests were performed using SPSS 24.0 software. A P value lower than 0.05 was considered statistically significant. RESULTS: Patients' mean age was 67.8 ± 17.7 years and median HD vintage was 65 (43-104) months. About 53.6% of the patients presented a deficient daily intake of zinc. Patients with the highest zinc intake were those who had a higher lean tissue index (P = .022), energy (P < .001), and protein (p = .022) intakes. Zinc intake was positively correlated with energy (r = 0.709) and protein intake (r = 0.805) and negatively correlated with the malnutrition screening tool score (r = -0.087). A higher energy, protein, and lower carbohydrates intake, as well as lower HD vintage and higher lean tissue index were predictors of zinc intake. A higher mortality risk was observed in patients with zinc intake below the recommended values, even after the adjustment for age, presence of diabetes, gender, dialysis vintage, albumin, lean tissue index, energy intake/kilogram, and level of physical activity (P = .021). CONCLUSION: There is a high prevalence of HD patients with an inadequate zinc intake, which is related to worse nutritional and body composition parameters and with a higher mortality risk.

Dietary Intake, Body Composition, and Clinical Parameters: Associations Between the Level and Type of Physical Activity in Hemodialysis Patients.

BACKGROUND: Physical inactivity and muscle wasting potentiate each other and are highly prevalent among hemodialysis (HD) patients. The authors evaluated the association between physical activity (PA), clinical, nutritional, and body composition parameters in HD patients. METHODS: Multicenter cross-sectional study with 581 HD patients. Clinical, body composition, dietary intake, and PA data were recorded. For the analysis, patients were divided into active (follow World Health Organization recommendations) and inactive groups. RESULTS: A total of 20% of the patients followed World Health Organization recommendations on PA. Differences between physically active and physically inactive patients were observed in age, biochemical parameters and total body water, intracellular water, lean tissue index (LTI), body cell mass, energy, and protein intake. PA was a predictor of higher LTI, body cell mass, and energy intake independently of age, gender, presence of diabetes, dialysis adequacy, and dialysis vintage. Controlling for the effect of age, walking and vigorous PA were positively correlated with energy and protein intake. Vigorous PA was also positively correlated with LTI. CONCLUSION: The PA is a predictor of higher LTI, body cell mass, and energy intake. Vigorous PA is associated with an improved body composition and dietary pattern, whereas walking seems to be also associated with a favorable nutritional status.

Low body cell mass index in hemodialysis patients: Association with clinical parameters and survival.

INTRODUCTION: Body cell mass (BCM) is a useful nutritional marker and is not affected by changes in the hydration status that commonly occur in hemodialysis (HD) patients. This study aimed to examine the association between body cell mass index (BCMI) and nutritional parameters, as well as its relationship with long-term survival in these patients. METHODS: This longitudinal prospective multicenter study followed a cohort of patients in HD for 24 months. The clinical parameters of 2527 patients (mean age 70.3 ± 14.6 years, 55.8% male and mean HD vintage 58 (IQR:33-95) months) were measured and their body composition parameters were assessed by a body composition monitor before the HD session. BCM was converted to BCMI (BCM/height2 ) and, taking into account the mean value (6.4 ± 2.1 kg/m2 ), we split our study population into 2 groups: G1 (BCMI <6.4 kg/m2 ; n = 1366) and G2 (BCMI ≥ 6.4 kg/m2 ; n = 1161). All statistical tests were performed using SPSS 20.0 software. A P value lower than 0.05 was considered statistically significant. FINDINGS: Patients with a BCMI <6.4 kg/m2 displayed higher age (P < 0.001), dialysis adequacy (Kt/V) (P < 0.001), total cholesterol (TC) (P = 0.033), high-density lipoprotein cholesterol (HDL-C) (P < 0.001), relative overhydration (overhydration/extracellular water [OH/ECW]) (P < 0.001), CRP (P < 0.001), fat tissue index (FTI) (P < 0.001) and lower normalized protein equivalent of nitrogen appearance (nPNA) (P < 0.001), albumin (P < 0.001), serum creatinine (P < 0.001), creatinine index (P < 0.001), potassium (P < 0.001), phosphorus (P < 0.001), calcium/phosphorus product (Ca X P) (P < 0.001), lean tissue index (LTI) (P < 0.001) and body mass index (BMI) (P = 0.046). The Kaplan-Meier survival curve showed a significantly better survival in female and male patients with BCMI ≥6.4 kg/m2 (P = 0.001 and P < 0.001, respectively). In the cox regression analysis, a significantly higher mortality risk was observed in G1 patients (P = 0.001). DISCUSSION: Our study showed that a low BCMI was a mortality predictor and was associated with worse nutritional parameters in patients undergoing HD.

Evaluating haemodialysis patient's nutritional status: Body mass index or body cell mass index?

OBJECTIVE: Evaluate which of two combinations of parameters based on International Society of Renal Nutrition and Metabolism recommendations could better identify patients with protein-energy wasting (PEW) and to compare the relationship of these two combinations with other clinical and body composition parameters. METHODS: This was a multicentre longitudinal study with 24 months of follow-up. The PEW patients were characterized by: Group A (GA ) - normalized protein catabolic rate (nPCR) < 1.0 g/kg per day, albumin <3.8 g/dL and body cell mass index (BCMI) < 6.4 kg/m2 (n = 203); Group B (GB ) - nPCR <1.0 g/kg per day, albumin <3.8 g/dL and body mass index (BMI) <23 kg/m2 (n = 109). All the patients who did not meet these requirements were considered "well-nourished" (GA : n = 1818; GB : n = 3292). RESULTS: When compared to the well-nourished patients, PEW patients in the GA presented higher age, Kt/V, C-reactive protein, relative overhydration, fat tissue index (FTI); lower creatinine, albumin, nPCR, PTH, haemoglobin, phosphorus, calcium X phosphorus product, potassium, dry weight, BMI, BCMI, lean tissue index, %IDWG . In the GB , well-nourished patients FTI was significantly higher. In Cox analysis, the combination with BCMI was a strong independent predictor of mortality in these patients (hazard ratio: 1.48; confidence interval: 1.00-2.19; P = 0.048), even after adjustment. Although GB combination seemed to be also a predictor of death (hazard ratio: 2.67; confidence interval: 1.92-3.71; P < 0.001), when adjusted, the association remained no longer significant. CONCLUSION: A new combination of parameters including protein intake, albumin and BCMI demonstrated significant associations with other nutrition and inflammation parameters as well as with mortality.

Coffee consumption in hemodialysis patients: how many?

BACKGROUND AND AIMS: Coffee is one of the most widely consumed beverages worldwide. However, fluid intake restriction is an important and difficult challenge for hemodialysis (HD) patients. The aim of this study was to analyze the effect of coffee intake on hydration and nutritional parameters of HD patients. METHODS: This was an observational, cross-sectional, multicenter study where 373 HD patients from 8 dialysis centers in Portugal were enrolled. A face-to-face questionnaire was applied and patient's clinical and body composition parameters were analyzed. The sample was divided into 3 groups depending on coffee intake: group 1-don't drink coffee, group 2-drink 1-2 coffees/day and group 3-drink 3 or more coffees/day. Laboratory and body composition parameters were registered in the month prior to the questionnaire application. Body composition was assessed with the Body Composition Monitor (BCM; Fresenius Medical Care Deutschland GmbH, Germany). RESULTS: Patient's mean age was 67.2 ± 14.4 years and the mean HD vintage was 61.3 ± 56.2 months. Patients who reported drinking 3 or more coffees daily were younger, presented higher levels of potassium, phosphorus, diastolic BP, albumin and interdialytic weight gain (IDWG) and lower dialysis adequacy (Kt/V). Regarding body composition, patients in the group 3 showed higher body cell mass index (BCMI) and lean tissue index (LTI). On the other hand, the group 1 were the oldest, had a higher Kt/V, a lower diastolic blood pressure (BP) and potassium levels, whereas G2 presented a lower LTI, BCMI and IDWG. CONCLUSIONS: Drinking 3 or more coffees daily increases the risk of a higher diastolic BP, potassium and IDWG in HD patients.

Effect of an intradialytic protein-rich meal intake in nutritional and body composition parameters on hemodialysis patients.

BACKGROUND AND AIMS: Protein intake is a key point to maintain an adequate nutritional status in hemodialysis (HD) patients. There are some studies that confirm the positive influence of intradialytic oral nutritional supplementation in several nutritional parameters in HD patients. The aim of this study was to evaluate the effect of an intradialytic protein rich meal in nutritional and body composition parameters on HD patients. METHODS: This was a 6-months single center non-randomized study with 99 patients in HD from one Nephrocare dialysis unit in Portugal. Patients in the intervention group (IG) presented one albumin value ≤ 3.8 g/dL in the two measurements prior to the beginning of the study. The IG ate a protein rich meal during each treatment. The control group (CG) continued to eat their usual snack brought from home. Albumin, nPCR, potassium, phosphorus, C-reactive protein (CRP), dry weight and body composition were measured at baseline and at the end of the study. RESULTS: Patient's mean age was 69.9 ± 12.9 years and HD vintage, 60.0 ± 50.5 months. Both groups were similar at the start of the study, except in albumin (p = 0.019). After the intervention, protein intake increased in the IG (p = 0.001). Albumin decreased in both groups but this difference was higher and only statistically significant in the CG (p = 0.039). Regarding body composition, in the CG, the fat tissue index (FTI) (p = 0.022) and the lean tissue index (LTI) (p = 0.003) diminished after the 6 months of the follow-up. However, in the IG the LTI value also reduced (p = 0.008) but FTI increased (p = <0.001) at the end of the study. There were no statistically significant differences on dry weight, potassium, phosphorus, and CRP. CONCLUSION: Apart from the effect on protein intake, the importance of this study relies on the positive changes in regard to patient's body composition obtained after 6 months of an intradialytic intake of a protein rich meal during the HD treatment. This type of intervention can contribute to ameliorate patient's nutritional status without a negative effect on other parameters.

Nutritional parameters as mortality predictors in haemodialysis: Differences between genders.

BACKGROUND: Malnutrition is common in patients undergoing haemodialysis (HD). Several studies have described different nutritional parameters as mortality predictors but few have studied whether there are differences between genders. This study aimed to evaluate which nutrition parameters may be associated with mortality in patients undergoing long-term HD depending on their gender. METHODS: Longitudinal prospective multicentre study with 12 months of follow-up. Anthropometric and laboratory measures were obtained from 697 patients. RESULTS: Men who died were older, had lower dry weight, body mass index, potassium, phosphorus and albumin, compared with male patients who survived. Female patients who died had lower albumin and nPCR compared with survivors. Kaplan-Meier analysis displayed a significantly worse survival in patients with albumin <3.5 g/dl in both genders and with body mass index <23 kg/m2 in men. In the Cox regression analysis patients overall mortality was related to body mass index <23 kg/m2 , potassium ≤5.5 mEq/l and phosphorus <3.0 mg/dl for male patients and albumin <3.5 g/dl and normalised protein catabolic rate (nPCR) <0.8 g/kg/day for both genders. Associations between albumin, body mass index and mortality risk continued to be significant after adjustments for age, length of time on dialysis and diabetes for males. However, in women, only albumin persisted as an independent predictor of death. CONCLUSION: Depending on the gender, different parameters such as protein intake, potassium, phosphorus, body mass index and albumin are associated with mortality in patients undergoing HD. Albumin <3.5 g/dl is an independent mortality predictor in both genders, whereas a body mass index <23 kg/m2 is an independent predictor of death, but only in men.

Hypophosphatemia: nutritional status, body composition, and mortality in hemodialysis patients.

PURPOSE: The aim of the present study was to investigate the relationship between serum phosphate levels, clinical parameters, body composition, and mortality. METHODS: Multicenter longitudinal observational study of a cohort of 3552 patients in hemodialysis (HD) from 34 Nephrocare dialysis units in Portugal with 24 months of follow-up. Patients were divided into three groups depending on their serum phosphorus (<3.5; 3.5-5.5; >5.5 mg/dL). Statistical tests were performed with SPSS, version 20.0. A p < 0.05 was considered significant. RESULTS: On the one hand, hypophosphatemia was significantly associated with better dialysis adequacy, higher age and overhydration. On the other hand, it was associated with lower albumin, protein intake, creatinine, hemoglobin, calcium, potassium, magnesium, body mass index (BMI), body cell mass index, fat tissue index and lean tissue index. These patients had lower survival rates compared with those with normo- and hyperphosphatemia. Hypophosphatemia was a predictor of death when adjusted for age, diabetes, HD vintage, gender, and Kt/V. Comparing the mortality predictors in hypo- and hyperphosphatemia, we found that low albumin, BMI, and high overhydration increased the mortality risk in the hypophosphatemic group, whereas in hyperphosphatemic patients data were not statistically significant. CONCLUSION: Currently, a high prevalence of hypophosphatemia exists in Portuguese HD patients. This condition is associated with worst nutritional and body composition parameters. In the context of additional indices of malnutrition (low albumin, low BMI or severe overhydration), hypophosphatemic patients presented higher mortality risk.

Body Composition and Mortality Predictors in Hemodialysis Patients.

OBJECTIVE: To evaluate how different compartments of body composition can affect survival in hemodialysis (HD) patients. DESIGN: Multicenter longitudinal observational study of a cohort of patients in HD with 12 months of follow-up. SETTING: Patients from 34 Nephrocare dialysis units in Portugal were included. SUBJECTS: A total of 697 patients on maintenance HD during 4 hours 3 days per week were enrolled. INTERVENTION: Dry weight, presence of diabetes, body mass index (BMI), lean tissue index (LTI), fat tissue index (FTI), body cell mass index (BCMI), albumin and hydration status were recorded at baseline. In all patients, the assessment of body composition was carried out using the Body Composition Monitor (BCM; Fresenius Medical Care a Deutschland GmbH, Germany). MAIN OUTCOME MEASURE: Survival during a 12-month period of follow-up. RESULTS: Patient's mean (±standard deviation) age was 65.4 ± 14.3 years, and median (interquartile range) HD vintage was 41 (19-81) months. Patients who died during the study period, had higher age (P < .001), lower dry weight (P = .001), BMI (P < .001), albumin (P < .001), LTI (P = .015), and also lower BCMI (P = .046). Patients with diabetes (P = .045), BMI < 18.5 kg/m(2) (P < .001), albumin < 4.0 g/dL (P < .001), relative overhydration ≥ 15% (P = .001), low FTI (P = .019), and also those in the lowest tertile of BCMI (P = .022) displayed a significantly worse survival. In the Cox regression analysis, the overall mortality of patient was related to low FTI, relative overhydration, BMI < 18.5 kg/m(2), BCMI ≤ 5.2 kg/m(2), and albumin < 4.0 g/dL. CONCLUSIONS: Several body composition parameters demonstrated to have an important role in predicting 1-year mortality in HD patients. Albumin, FTI, and BMI were useful predictors of mortality in these patients.

Effect of personalized nutritional counseling in maintenance hemodialysis patients.

Monitoring nutritional parameters is an integral part of hemodialysis (HD) patient treatment program. The purpose of this study was to evaluate the impact of the personalized nutritional counseling (PNC) on calcium-phosphorus metabolism, potassium, albumin, protein intake, interdialytic weight gain (IDWG), body composition parameters and fluid overload in HD patients. This was a multicenter longitudinal intervention study with 6 months of follow-up and 731 patients on maintenance HD from 34 dialysis units in Portugal were enrolled. Biochemical and body composition parameters were measured at baseline, 1, 3 and 6 months after the PNC. Patient's mean age was 64.9 (95% confidence interval [CI]: 63.8-66.0) years and mean HD time was 59.8 (95% CI: 55.3-64.3) months. Regarding data comparison collected before PNC vs. 6 months after, we obtained, respectively, the following results: patients with normalized protein catabolic rate (nPCR) ≥ 1 g/kg/day = 66.5% vs. 73.5% (P = 0.002); potassium > 5.5 mEq/L = 52% vs. 35.8% (P < 0.001); phosphorus between 3.5 and 5.5 mg/dL = 43.2% vs. 52.5% (P < 0.001); calcium/phosphorus (Ca/P) ratio ≤ 50 mg/dL = 73.2 % vs. 81.4% (P < 0.001); albumin ≥ 4.0 g/dL = 54.8% vs. 55% (P = 0.808); presence of relative overhydration = 22.4% vs. 25% (P = 0.283); IDWG > 4.5% = 22.3% vs. 18.2% (P = 0.068). PNC resulted in a significant decrease in the prevalence of hyperkalemia, hypophosphatemia and also showed amelioration in Ca/P ratio, nPCR and an increase in P of hyphosphatemic patients. Our study suggests that dietetic intervention contributes to the improvement of important nutritional parameters in patients receiving hemodialysis treatment.