scholarly journals Relationship between Circulating Galectin-3, Systemic Inflammation, and Protein-Energy Wasting in Chronic Hemodialysis Patients

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2803
Author(s):  
Ming-Tsun Tsai ◽  
Shuo-Ming Ou ◽  
Huan-Yuan Chen ◽  
Wei-Cheng Tseng ◽  
Kuo-Hua Lee ◽  
...  
Keyword(s):  
Systemic Inflammation ◽  
Medical Center ◽  
Risk Index ◽  
Hemodialysis Patients ◽  
Nutritional Risk ◽  
Maintenance Hemodialysis ◽  
Protein Energy Wasting ◽  
Protein Energy ◽  
Nutritional Risk Index ◽  
Galectin 3

Galectin-3 reportedly participates in the inflammatory process that causes insulin resistance in the target tissues. However, the role of high plasma galectin-3 levels as an indicator of protein-energy wasting (PEW) in patients undergoing maintenance hemodialysis remains unclear. This study included 240 hemodialysis patients (64.5 [55.3−74.0] years, 35.8% women) from a tertiary medical center. A baseline assessment of demographic and clinical data, biochemical parameters, and body composition was conducted. Plasma galectin-3 and other biomarkers were measured using a multiplex bead-based immunoassay. Participants were then divided into two subgroups depending on the median value of plasma galectin-3. Malnutrition was identified using the geriatric nutritional risk index (GNRI) and the criteria of the International Society of Renal Nutrition and Metabolism. Independent risk factors for elevated plasma galectin-3 and malnutrition were identified by multivariate logistic regression. The high galectin-3 group was more likely to be older, have lower lean tissue mass and GNRI scores, be diagnosed with PEW, dialyze through a tunneled catheter, and have higher circulating IL-6, TNF-α, and MCP-1 concentrations than the low galectin-3 group. After multivariate adjustment, only low mean arterial pressure, dialyzing with tunneled cuffed catheters, and elevated systemic inflammatory markers correlated with high galectin-3 levels. Plasma galectin-3 concentrations also increased significantly in hemodialysis patients with PEW. However, compared with other commonly used nutritional indicators, galectin-3 did not show superiority in predicting PEW. Although the plasma galectin-3 levels correlated with PEW severity, this correlation disappeared after adjustment for potential confounding variables (OR, 1.000; 95% CI, 0.999–1.001). In conclusion, plasma galectin-3 is a valuable biomarker for systemic inflammation but is less prominent for PEW in patients with maintenance hemodialysis. Further identification of novel biomarkers is required to detect patients at risk for malnutrition and implement appropriate interventions.

scholarly journals Methods and Nutritional Interventions to Improve the Nutritional Status of Dialysis Patients in JAPAN—A Narrative Review

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1390
Author(s):  
Yoshihiko Kanno ◽  
Eiichiro Kanda ◽  
Akihiko Kato
Keyword(s):  
Medical Staff ◽  
Salt Intake ◽  
Risk Index ◽  
Nutritional Risk ◽  
Registered Dietitians ◽  
Dialysis Therapy ◽  
Protein Energy Wasting ◽  
Nutritional Interventions ◽  
Protein Energy ◽  
Nutritional Risk Index

Patients receiving dialysis therapy often have frailty, protein energy wasting, and sarcopenia. However, medical staff in Japan, except for registered dietitians, do not receive training in nutritional management at school or on the job. Moreover, registered dietitians work separately from patients and medical staff even inside a hospital, and there are many medical institutions that do not have registered dietitians. In such institutions, medical staff are required to manage patients’ nutritional disorders without assistance from a specialist. Recent studies have shown that salt intake should not be restricted under conditions of low nutrition in frail subjects or those undergoing dialysis, and protein consumption should be targeted at 0.9 to 1.2 g/kg/day. The Japanese Society of Dialysis Therapy suggests that the Nutritional Risk Index-Japanese Hemodialysis (NRI-JH) is a useful tool to screen for older patients with malnutrition.

scholarly journals Association of the erythropoiesis-stimulating agent resistance index and the geriatric nutritional risk index with cardiovascular mortality in maintenance hemodialysis patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245625
Author(s):  
Takahiro Yajima ◽  
Kumiko Yajima ◽  
Hiroshi Takahashi
Keyword(s):  
Cardiovascular Mortality ◽  
Risk Model ◽  
Risk Index ◽  
Resistance Index ◽  
Nutritional Risk ◽  
Maintenance Hemodialysis ◽  
Geriatric Nutritional Risk Index ◽  
Protein Energy Wasting ◽  
Net Reclassification Improvement ◽  
Nutritional Risk Index

Objective Hyporesponsiveness to erythropoiesis-stimulating agent (ESA) may be associated with protein-energy wasting. We investigated the relationship of the ESA resistance index (ERI) and the geriatric nutritional risk index (GNRI) for cardiovascular mortality in hemodialysis (HD) patients. Methods A total of 180 maintenance HD patients were enrolled. The patients were stratified by the GNRI of 91.2, a previously reported cut-off value, and the ERI of 13.7 (IU/week/kg/g/dL), a cut-off value for predicting cardiovascular-specific mortality, and they were classified into four groups (group 1[G1]: higher GNRI and lower ERI, G2: higher GNRI and higher ERI, G3: lower GNRI and lower ERI, G4: lower GNRI and higher ERI). Results The ERI was independently associated with the GNRI (β = −0.271, p = 0.0005). During a median follow-up of 4.6 years, higher ERI and lower GNRI were independently associated with cardiovascular mortality, respectively (adjusted hazard ratio [aHR], 3.10; 95% confidence interval [CI], 1.31–7.34, and aHR, 6.64; 95%CI, 2.60–16.93, respectively). The 7-year survival rates were 96.1%, 70.3%, 77.3%, and 50.1% in G1, G2, G3, and G4, respectively. The aHR values for G4 versus G1 were 12.63 (95%CI, 3.58–44.59). With regards to model discrimination, adding the GNRI alone, the ERI alone, and both to the traditional risk model significantly improved the net reclassification improvement by 0.421, 0.662, and 0.671, respectively. Similar results were obtained for all-cause mortality. Conclusion The ERI was independently associated with the GNRI, and could predict cardiovascular mortality in HD patients. Moreover, the combination of GNRI and ERI could improve the predictability for cardiovascular mortality.

scholarly journals Association of protein-energy wasting and inflammation status with mortality after coronary revascularisation in patients on haemodialysis

Open Heart ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. e001276
Author(s):  
Yoshitaka Kumada ◽  
Hideki Ishii ◽  
Satoru Oshima ◽  
Ryuta Ito ◽  
Norio Umemoto ◽  
...  
Keyword(s):  
Risk Index ◽  
Survival Rates ◽  
Coronary Revascularisation ◽  
Nutritional Risk ◽  
Protein Energy Wasting ◽  
Protein Energy ◽  
Kaplan Meier ◽  
Prediction Of Mortality ◽  
Risk Of Mortality ◽  
Nutritional Risk Index

ObjectiveProtein-energy wasting is associated with chronic inflammation and advanced atherosclerosis in haemodialysis (HD) patients. We investigated association of geriatric nutritional risk index (GNRI), C reactive protein (CRP) with prediction of mortality after coronary revascularisation in chronic HD patients.MethodsWe enrolled 721 HD patients electively undergoing coronary revascularisation. They were divided into tertiles according to preprocedural GNRI levels (tertile 1 (T1):<91.5, T2: 91.5–98.1 and T3:>98.1) and CRP levels (T1:≤1.4 mg/L, T2: 1.5–7.0 mg/L and T3:≥7.1 mg/L).ResultsKaplan-Meier 10 years survival rates were 32.3%, 44.8% and 72.5% in T1, T2 and T3 of GNRI and 60.9%, 49.2% and 23.5% in T1, T2 and T3 of CRP, respectively (p<0.0001 in both). Declined GNRI (HR 2.40, 95% CI 1.58 to 3.74, p<0.0001 for T1 vs T3) and elevated CRP (HR 2.31, 95% CI 1.58 to 3.43, p<0.0001 for T3 vs T1) were identified as independent predictors of mortality. In combined setting of both variables, risk of mortality was 5.55 times higher (95% CI 2.64 to 13.6, p<0.0001) in T1 of GNRI with T3 of CRP than in T3 of GNRI with T1 of CRP. Addition of GNRI and CRP in a model with established risk factors improved C-statistics (0.648 to 0.724, p<0.0001) greater than that of each alone.ConclusionPreprocedural declined GNRI and elevated CRP were closely associated with mortality after coronary revascularisation in chronic HD patients. Furthermore, combination of both variables not only stratified risk of mortality but also improved the predictability.

Serum Thiamine Values in End-Stage Renal Disease Patients under Maintenance Hemodialysis

2015 ◽  
Vol 85 (5-6) ◽  
pp. 348-355 ◽  
Author(s):  
Masamitsu Ubukata ◽  
Nobuyuki Amemiya ◽  
Kosaku Nitta ◽  
Takashi Takei
Keyword(s):  
Thiamine Deficiency ◽  
Risk Index ◽  
Nutritional Risk ◽  
Maintenance Hemodialysis ◽  
Dialysis Patients ◽  
Significant Difference ◽  
Nutritional Risk Index ◽  
Serum Aspartate Aminotransferase ◽  
Stage Renal Disease ◽  
End Stage

Abstract. Objective: Hemodialysis patients are prone to malnutrition because of diet or many uremic complications. The objective of this study is to determine whether thiamine deficiency is associated with regular dialysis patients. Methods: To determine whether thiamine deficiency is associated with regular dialysis patients, we measured thiamine in 100 patients undergoing consecutive dialysis. Results: Average thiamine levels were not low in both pre-hemodialysis (50.1 ± 75.9 ng/mL; normal range 24 - 66 ng/mL) and post-hemodialysis (56.4 ± 61.7 ng/mL). In 18 patients, post-hemodialysis levels of thiamine were lower than pre-hemodialysis levels. We divided the patients into two groups, the decrease (Δthiamine/pre thiamine < 0; - 0.13 ± 0.11) group (n = 18) and the increase (Δthiamine/pre thiamine> 0; 0.32 ± 0.21)) group (n = 82). However, there was no significance between the two groups in Kt/V or type of dialyzer. Patients were dichotomized according to median serum thiamine level in pre-hemodialysis into a high-thiamine group (≥ 35.5 ng/mL) and a low-thiamine group (< 35.4 ng/mL), and clinical characteristics were compared between the two groups. The low-thiamine value group (< 35.4 ng/ml; 26.8 ± 5.3 ng/ml) exhibited lower levels of serum aspartate aminotransferase and alanine aminotransferase than the high-thiamine value group (≥ 35.4 ng/ml; 73.5 ± 102.5 ng/ml) although there was no significance in nutritional marker, Alb, geriatric nutritional risk index , protein catabolic rate and creatinine generation rate. Conclusion: In our regular dialysis patients, excluding a few patients, we did not recognize thiamine deficiency and no significant difference in thiamine value between pre and post hemodialysis.

scholarly journals Combined Predictive Value of Extracellular Fluid/Intracellular Fluid Ratio and the Geriatric Nutritional Risk Index for Mortality in Patients Undergoing Hemodialysis

Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2659 ◽  
Author(s):  
Takahiro Yajima ◽  
Kumiko Yajima ◽  
Hiroshi Takahashi ◽  
Keigo Yasuda
Keyword(s):  
Risk Model ◽  
Risk Index ◽  
Survival Rates ◽  
Extracellular Fluid ◽  
Nutritional Risk ◽  
Geriatric Nutritional Risk Index ◽  
Protein Energy Wasting ◽  
Intracellular Fluid ◽  
Net Reclassification Improvement ◽  
Nutritional Risk Index

The ratio of extracellular fluid (ECF) to intracellular fluid (ICF) may be associated with mortality in patients undergoing hemodialysis, possibly associated with protein-energy wasting. We therefore investigated the relationship of the ECF/ICF ratio and the geriatric nutritional risk index (GNRI) with the all-cause and cardiovascular-specific mortality in 234 patients undergoing hemodialysis. Bioimpedance analysis of the ECF and ICF was performed and the ECF/ICF ratio was independently associated with GNRI (β = −0.247, p < 0.0001). During a median follow-up of 2.8 years, 72 patients died, of which 29 were cardiovascular. All-cause mortality was independently associated with a lower GNRI (adjusted hazard ratio [aHR] 3.48, 95% confidence interval [CI] 2.01–6.25) and a higher ECF/ICF ratio (aHR 11.38, 95%CI 5.29–27.89). Next, we divided patients into four groups: group 1 (G1), higher GNRI and lower ECF/ICF ratio; G2, lower GNRI and lower ECF/ICF ratio; G3, higher GNRI and higher ECF/ICF ratio; and G4, lower GNRI and higher ECF/ICF ratio. Analysis of these groups revealed 10-year survival rates of 91.2%, 67.2%, 0%, and 0% in G1, G2, G3, and G4, respectively. The aHR for G4 versus G1 was 43.4 (95%CI 12.2–279.8). Adding the GNRI alone, the ECF/ICF ratio alone, or both to the established risk model improved the net reclassification improvement by 0.444, 0.793 and 0.920, respectively. Similar results were obtained for cardiovascular mortality. In conclusion, the ECF/ICF ratio was independently associated with GNRI and could predict mortality in patients undergoing hemodialysis. Combining the GNRI and ECF/ICF ratio could improve mortality predictions.

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