The Impact of Medium Cut-Off Dialyzers on Malnutrition-Inflammation Scores in Maintenance Hemodialysis Patients.

INTRODUCTION: Medium cut-off (MCO) membranes may be able to remove middle-large uremic toxins that are retained in the body, which has been linked to various risk factors including malnutrition-inflammation score (MIS). The effect of MCO dialyzers on MIS has been studied. METHODS: This single-center exploratory prospective observational study enrolled maintenance hemodialysis patients who underwent dialysis using either MCO (Theranova 400) or high-flux (FX80) membranes as part of their regular care. Measurements of MIS, body weight, height, body mass index, and various biochemical markers were taken at the beginning and conclusion of the study. RESULTS: This study included 50 patients who were treated with either the Theranova 400 (n = 25) or the FX80 (n = 25) for a period of 6 months. The two groups were similar in terms of demographics, duration of hemodialysis treatment, and baseline biochemical test results. Theranova 400 had no significant impact on the median MIS (6 [6-10] vs. 7 [5-10], p 0.575) and serum albumin levels (4.07 [3.92-4.22] vs. 4.04 [3.85-4.30], p 0.689), while the FX80 resulted in a significant increase in MIS (6 [5-8] vs. 8 [6-10], p 0.033) and a significant decrease in serum albumin levels (4.23 [4.03-4.36] vs. 3.98 [3.77-4.12], p 0.027) at the end of the study. DISCUSSION/CONCLUSION: After 6 months of treatment, the MCO dialyzer did not demonstrate a statistically significant difference in the MIS when compared to the high-flux dialyzer. However, MIS worsening was significantly less in the MCO group, indicating the potential benefits of MCO membranes in maintaining nutritional status. Further research is required to validate these results.

Asymmetric dimethylarginine serum concentration in normal weight and obese CKD patients treated with hemodialysis.

INTRODUCTION: Asymmetric dimethylarginine (ADMA), a cardiovascular risk factor, increases in renal failure. The aim of this study was to investigate ADMA levels in normal weight and obese patients on hemodialysis. METHODS: In this cross-sectional study, 43 normal weight and 43 obese patients on regular hemodialysis were examined. Malnutrition-inflammation score (MIS), anthropometry, circulating ADMA, lipid profiles including triglycerides (TG), total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL) and lipid ratios, glucose homeostasis parameters, blood pressure, and high-sensitivity C-reactive protein (hs-CRP) were assessed. RESULTS: Serum levels of ADMA were significantly lower in the obese compared to the normal weight patients (10268.2 ± 10092.4 vs. 13765.2 ± 9951.3 ng/l, P = 0.03). At the same time MIS score (6.1 ± 2.4 vs. 10.7 ± 3.2, P < 0.001), systolic blood pressure (119 ± 26.8 vs. 134.2 ± 24.7 mmHg, P = 0.018) and mean arterial pressure (91.3 ± 18.6 vs. 100.9 ± 15.9 mmHg, P = 0.028) were significantly lower in the obese than the normal weight group. Fasting blood glucose (P = 0.045), TG/HDL (P = 0.03), TC/HDL (P = 0.019), and LDL/HDL (P = 0.005) ratios, and hs-CRP (P = 0.015) levels were significantly higher in the obese than in the normal weight group. CONCLUSION: Circulating ADMA was significantly lower in obese than in normal weight patients on hemodialysis, which was concomitant with lower MIS, indicating a better nutritional inflammatory status, and lower blood pressure.

Differences in Malnutrition Inflammation Score of Hemodialysis Patients Associated With Hemodialysis Factors. A Spanish Multicenter Epidemiologic Study.

OBJECTIVES: The aims of this study are to analyze the prevalence of malnutrition in hemodialysis (HD) patients in Spain, and to assess the association of malnutrition in these patients with sociodemographic characteristics, comorbidity, and parameters related to HD. DESIGN AND METHODS: A multicenter, retrospective, cross-sectional study in HD patients from centers all over Spain was conducted. Nutritional status of patients was assessed using Malnutrition Inflammation Score (MIS), and was stratified according to MIS values into 5 categories: ≤2, normal nutrition; >2 to ≤5, mild malnutrition or risk of malnutrition; >5 to ≤7, moderate malnutrition; >7 to ≤10, severe malnutrition, and >10, extreme malnutrition. RESULTS: A total of 52 Spanish HD Units participated in the study enrolling 2,748 patients. Mean age of patients was 68.20 ± 14.24 years, 1,811 (65.9%) were men. Mean time on HD was 55.63 ± 63.25 months. Using an MIS cut-off point of 2 for malnutrition, 89% of patients were malnourished (MIS > 2). However, with a cut-off point of 5, more commonly described in the literature, the percentage of patients with malnutrition was reduced to 51.7%. Using this cut-off, we observed significant differences between patients with malnutrition and normo-nourished patients in biochemical parameters, age, Charlson Index, HD residual renal function, scheme, and vascular access (permanent catheter vs arteriovenous fistula). A multivariate regression analysis showed that age, sex, HD scheme, vascular access, residual renal function, and comorbidity index were predictive factors for malnutrition. We found that a high percentage of HD patients with malnutrition did not receive oral supplementation. CONCLUSIONS: The prevalence of malnutrition in HD patients in Spain, assessed using the MIS scale, was high. Higher malnutrition was associated with the use of catheter versus fistula, and standard HD versus online hemodiafiltration, and with the absence of residual renal function, older age, greater comorbidity, and male sex. Malnourished patients had a low rate of oral supplementation.

Prognostic Value of the Malnutrition-inflammation Score in Hospitalization and Mortality on Long-term Hemodialysis.

OBJECTIVE: Since its development, cumulative evidence has accumulated regarding the prognostic value of the Malnutrition-Inflammation Score (MIS/Kalantar score) prognostic value; however, there is a shortage of recent and large studies with comprehensive statistical methodologies that contribute to support a higher level of evidence and a consensual cutoff. The aim of this study was to assess the strength of MIS association with hospitalization and mortality in a nationwide cohort. METHODS: This was a historical cohort study of hemodialysis patients from 25 outpatient centers followed up for 48 months. Univariable and multivariable Cox additive regression models were used to analyze the data. The C-index was estimated to assess the performance of the final model. RESULTS: Two thousand four hundred forty-four patients were analyzed, 59.0% males, 32.0% diabetic, and median age of 71 years (P25 = 60, P75 = 79). During a median period of 45-month follow-up, with a maximum of 48 months (P25 = 31; P75 = 48), 875 patients presented an MIS <5 (35.8%) and 860 patients (35.2%) died. The proportion of deaths was 23.1% for patients with the MIS <5 and 41.9% if the MIS ≥5 (P < .001). A total of 1,528 patients (62.5%) were hospitalized with a median time to the first hospitalization of 26 months (P25 = 9; P75 = 45). A new cutoff point regarding the risk of death, MIS ≥6, was identified for this study data set. In multivariable analysis for hospitalization risk, a higher MIS, higher comorbidity index, and arteriovenous graft or catheter increased the risk, whereas higher Kt/V and higher albumin had a protective effect. In multivariable analysis for mortality risk, adjusting for age, albumin, normalized protein catabolic rate, Charlson comorbidity index, interdialytic weight gain, Kt/V, diabetes, hematocrit, and vascular access, patients with the MIS ≥6 showed a hazard ratio of 1.469 (95% confidence interval: 1.262-1.711; P < .001). Higher age, higher interdialytic weight gain, higher comorbidity index, and catheter increased significantly the risk, whereas higher Kt/V, higher albumin, and higher normalized protein catabolic rate (≥1.05 g/kg/d) reduced the risk. CONCLUSION: The MIS maintains its relevant and significant association with hospitalization and mortality.

Serum growth differentiation factor-15 analysis as a malnutrition marker in hemodialysis patients

Background/aim: Growth differentiation factor (GDF)-15 is related to inflammation and mortality in many conditions. We aimed to determine if an elevated serum GDF-15 level is related to nutritional status of patients on hemodialysis (HD) and mortality. Materials and methods: Routine HD patients (n = 158) were included in the study and followed for 18 months. Some malnutrition/ inflammation scoring indexes (malnutrition/inflammation score (MIS), controlling nutritional status (CONUT) score, and prognostic nutritional index (PNI)), biochemical parameters, and GDF-15 were used to build Cox regression multivariate models to study the association with mortality. Results: Among the patients, 90 (57 %) had a high MIS (≥8), which associates with worse status. The serum GDF-15 level was higher in the same group (p = 0.003). The serum GDF-15 level differentiated malnutrition/inflammation according to the MIS (p = 0.031). Age, GDF15, and C-reactive protein (CRP) were significantly associated with higher all-cause mortality risk. Patients with both age and GDF-15 above the mean had a hazard ratio of 2.76 (p = 0.006) when compared with those both < mean. Conclusion: In HD patients, the GDF-15 level is increased in worse nutritional status. Beyond the MIS, age, GDF-15 and CRP would be used together to estimate the worse clinical outcome in these patients.

Association between malnutrition-inflammation score and risk of subsequent self-reported bone fractures in prevalent kidney transplant recipients.

Chronic inflammation and protein energy wasting (PEW) syndrome are common in kidney transplant recipients (KTR). The presence of inflammation and PEW syndrome can directly affect bone resorption and bone formation, leading to bone loss and fractures. We showed PEW is independently associated with new clinically detected bone fractures in prevalent KTR. INTRODUCTION: Kidney transplant recipients (KTR) have a 4-fold higher risk of fracture compared to the general population. Chronic inflammation and PEW syndrome are common in KTR and are associated with poor outcomes. We hypothesized that the Malnutrition-Inflammation Score (MIS), a validated measure of PEW, is associated with higher risk of bone fractures in KTR. METHODS: This prospective cohort study included 839 prevalent KTR from a Central European academic center. MIS, a semiquantitative instrument of PEW, was calculated at the study entry. Self-reported history of fractures was recorded during the 2-year follow-up period. The association between MIS and bone fractures was examined in logistic regression analyses with adjustment for age, gender, eGFR, smoking habits, history of pre-transplant bone fractures, and acute rejection. RESULTS: Mean age was 51 ± 13 years, and 56% of patients were males with median (interquartile range) transplant vintage 69 (38-112) months, estimated glomerular filtration rate 55 ± 21 ml/min/1.73 m2, and calculated MIS 3 (2-4) at enrollment. Fifty-five (7%) patients experienced self-reported bone fractures during the 2-year follow-up period. Higher MIS score showed linear association with increased risk of fracture. Each one-point higher MIS was associated with 23% higher risk of bone fractures (odds ratio (OR) and 95% CI 1.23, 1.12-1.34), which remained significant after multivariable adjustments (OR 1.17, 95% CI 1.06-1.29). CONCLUSION: The MIS is independently associated with new clinically detected bone fractures in prevalent KTR.

Association of Malnutrition Inflammation Score With Anthropometric Parameters, Depression, and Quality of Life in Hemodialysis Patients.

Objective: Hemodialysis patients may be at risk for malnutrition due to catabolic effects caused by dialysis, loss of amino acids, inadequate nutrient intake, acidosis, and inflammation. Malnutrition may have negative effects on quality of life, mortality, and disease prognosis. This study was conducted to determine the relationship between anthropometric parameters, depression, and quality of life with Malnutrition Inflammation Score (MIS) on 55 patients aged between 18 and 65 years (36 males and 19 females) who have dialysis treatment for 3 days per week for at least 3 months due to end-stage renal disease. Methods: Patients were evaluated with MIS, Subjective Global Assessment (SGA), Beck Depression Inventory (BDI), and Satisfaction with Life Scale (SWLS). In addition, anthropometric (body weight, height, mid-upper arm circumference [MUAC]) and body composition measurements of patients were taken, body mass index (BMI) values were calculated, and biochemical parameters (albumin, C-reactive protein [CRP], and total iron binding capacity [TIBC]) were analyzed. Results: At the end of the study, 14.5% of the patients according to SGA, were classified as malnourished. There was a statistically significant positive correlation of BDI, duration of dialysis, and CRP with MIS. However, MIS had a statistically significant negative correlation with SWLS, body weight, and MUAC (p < 0.05). Conclusion: MIS is an effective screening tool for assessing malnutrition and quality of life in hemodialysis patients. However, there is a need for studies to identify cutoff points of MIS.

The relationship of serum adipokines with malnutrition inflammation score in haemodialysis.

BACKGROUND: Protein-energy wasting is a prevalent disorder in haemodialysis. Zinc-α2-glycoprotein (ZAG) and adipose triglyceride lipase (ATGL) are novel adipokines with recognized lipolytic effects and proposed role in metabolic homoeostasis. This study was conducted to investigate the association of ZAG and ATGL concentrations with malnutrition-inflammation score (MIS) and metabolic profile of patients with haemodialysis. MATERIALS AND METHODS: Eighty-eight patients under regular haemodialysis were divided based on MIS to normal to mild wasting (NMW; n = 35) or moderate wasting (MW; n = 53) group. Anthropometric measurements along with fasting serum concentrations of ZAG, ATGL, free fatty acids (FFAs), albumin, transferrin, total iron-binding capacity (TIBC), hs-CRP, lipid profile and glucose metabolism were assessed. RESULTS: Adipose triglyceride lipase concentration was significantly higher in MW than NMW group (10·89 ± 5·7 vs. 8·02 ± 3·37 mIU/mL; P = 0·008). The ZAG and FFAs were not significantly different between two groups. ATGL was directly correlated with FFAs in all of the patients (r = 0·284, P = 0·007) and MW (r = 0·32, P = 0·021), and marginally in NMW (r = 0·31, P = 0·057) groups. ATGL and odds of having mild or moderate wasting were significantly correlated (OR = 1·21, P = 0·033). A positive association was observed between ATGL with TG (r = 0·31, P = 0·049) and also with transferrin and TIBC (r = 0·44, P = 0·001) only in MW group. An inverse relationship was observed between ATGL and HDL in all of the participants (r=-0·222, P = 0·04). No significant correlation was observed between ZAG and other parameters. CONCLUSIONS: The serum concentrations of ATGL, but not ZAG, were significantly higher in MW compared to NMW group. Each unit increase in ATGL concentrations was correlated with 21% increase in the odds of wasting severity. ATGL might play a role in wasting pathogenesis and metabolic profile in haemodialysis.

Intradialytic Oral Protein Supplementation and Nutritional and Inflammation Outcomes in Hemodialysis: A Randomized Controlled Trial.

BACKGROUND: Malnutrition is a common finding in hemodialysis patients and can increase oxidative stress and inflammation levels. STUDY DESIGN: A randomized, controlled, nonblinded, parallel trial. SETTING & PARTICIPANTS: 92 hemodialysis patients from a single center with malnutrition according to subjective global assessment (SGA) score (SGA score > 7). INTERVENTION: 3 treatment groups (23 patients each) received 220mL of fermented vitamin E-fortified whey beverage (15g of whey protein concentrate + 600IU of vitamin E) or 220mL of fermented whey beverage (15g of whey protein concentrate) or vitamin E (600IU) 3 times a week for 8 weeks. The control group (23 patients) received no intervention. OUTCOME & MEASUREMENTS: Primary outcomes were change in SGA score and malnutrition-inflammation score (MIS) from baseline to the end of the trial. RESULTS: At the end of the study, 83 patients were analyzed (2, 3, 1, and 3 patients left the study in the vitamin E-fortified whey beverage, whey beverage, vitamin E, and control groups, respectively). Changes in SGA scores were -3.48 (95% CI, -4.90 to -2.00), -3.22 (95% CI, -4.13 to -2.30), -1.70 (95% CI, -3.20 to -0.24), and 1.56 (95% CI, 0.60 to 2.50) for the vitamin E-fortified whey beverage, whey beverage, vitamin E, and control groups, respectively (overall P<0.001; P≤0.001 for each treatment group vs control). Changes in MISs were -3.17 (95% CI, -4.40 to -1.90), -1.83 (95% CI, -2.50 to -1.10), -2.30 (95% CI, -3.50 to -1.10), and 1.48 (95% CI, 0.65 to 2.30) for the vitamin E-fortified whey beverage, whey beverage, vitamin E, and control groups, respectively (overall P<0.001; P<0.001 for each treatment group vs control). Few adverse effects were reported in any group. LIMITATIONS: Lack of blinding, small sample size, and short duration. CONCLUSIONS: Whey protein in the form of a new fermented whey beverage and vitamin E supplementation may improve SGA score and MIS in the short term.

Comparison of malnutrition in hemodialysis and peritoneal dialysis patients and its relationship with echocardiographic findings.

BACKGROUND: Malnutrition is common in patients with end-stage renal disease (ESRD) who on peritoneal dialysis (PD) or hemodialysis (HD). This study aimed to compare the frequency distribution of malnutrition in HD and PD patients and its relationship with echocardiographic findings. MATERIALS AND METHODS: This is a case-control study. Using the simple random sampling, 109 patients were selected among HD and PD patients based on the inclusion criteria. HD and PD groups included 55 and 54 patients, respectively. The malnutrition-inflammation score (MIS) index was used to assess malnutrition. Echocardiography was performed by a cardiologist. All the data were analyzed by SPSS version 18. RESULTS: In this study, 79.6% (43 patients) were in the PD group with MIS <9 (no malnutrition to mild malnutrition) and 20.4% (11 patients) with 9 ≤ MIS ≤ 18 suffered from moderate malnutrition. In the HD group, 72.7% (forty patients) had MIS < 9, 25.5% (14) had 9 ≤ MIS ≤ 18, and 1.8% (one patient) with MIS > 18 suffered from severe malnutrition (P = 0.74). There was no significant relationship between MIS and echocardiographic findings in PD patients (P > 0.05). In the HD group, there was no significant relationship between MIS and echocardiographic findings (P > 0.05), except for aortic and mitral valve insufficiencies (P < 0.05). CONCLUSION: The findings of this study show 27.3% of HD patients had moderate to severe malnutrition. There was a statistically significant relationship between MIS index and aortic and mitral valve insufficiencies in HD patients.

Association of malnutrition-inflammation score, dialysis-malnutrition score and serum albumin with novel risk factors for cardiovascular diseases in hemodialysis patients.

BACKGROUND: This study was designed to investigate the associations between malnutrition-inflammation score (MIS), dialysis-malnutrition score (DMS) and serum albumin with novel risk factors for cardiovascular diseases (CVD) in hemodialysis (HD) patients. METHODS: In this cross-sectional study, 291 HD patients were randomly selected from among 2302 adult HD patients in Tehran HD centers. The MIS and DMS were determined during one of the dialysis sessions in these patients. In addition, 4 mL blood was obtained before dialysis and analyzed for serum albumin and novel risk factors for CVD, including C-reactive protein (CRP), soluble intercellular adhesion molecule type 1 (sICAM-1), soluble vascular cell adhesion molecule type 1 (sVCAM-1), sE-selectin, malondialdehyde (MDA), nitric oxide (NO), endothelin-1 and lipoprotein (a) [Lp (a)]. RESULTS: MIS and DMS were significantly positively correlated with serum CRP (p < 0.01) and sICAM-1 (p < 0.01), whereas serum albumin concentration was significantly negatively correlated with serum CRP (p < 0.01) and sICAM-1 (p < 0.01). There were no significant correlations between MIS, DMS and serum albumin with serum concentrations of sVCAM-1, sE-selectin, MDA, NO, endothelin-1 and Lp (a). CONCLUSION: This study indicates that protein-energy wasting indicators in HD patients are associated with serum CRP and sICAM-1, as two CVD risk factors.

Association of Handgrip Strength and Nutritional Status in Non-Dialysis-Dependent Chronic Kidney Disease Patients: Results from the KNOW-CKD Study.

Handgrip strength (HGS) is suggested as an indirect assessment of nutritional status in chronic kidney disease (CKD) patients, but evidence is limited for non-dialysis-dependent CKD (NDD-CKD) patients. This cross-sectional study included 404 patients from the Phase II KoreaN Cohort Study for Outcome in Patients With CKD. HGS, measured twice in each hand, was the exposure, and malnutrition status was defined by a malnutrition-inflammation score (MIS) of 6 or higher. A logistic regression analysis adjusted for age, sex, diabetes mellitus (DM), hypertension, CKD stages, smoking, overhydration, education, and income status was used to assess malnutrition risk. The predictability of HGS for malnutrition was evaluated using the area under the curve (AUC). Patients with lower HGS were older, had a higher prevalence of DM, and lower estimated glomerular filtration rate. Higher HGS was significantly associated with lower malnutrition risk after adjustment (per 1 standard deviation increase, adjusted odds ratio, 0.47 [0.30-0.75]). Subgroup analyses showed no significant interaction between HGS and malnutrition risk across age, sex, DM, and CKD stage. HGS showed fair predictability for malnutrition in men (AUC 0.64 [0.46-0.83]) and women (AUC 0.71 [0.55-0.86]). In conclusion, HGS is a useful diagnostic indicator of malnutrition in NDD-CKD patients.

Factors associated with the malnutrition inflammation score (MIS) among hemodialysis patients in Dhaka city: a cross-sectional study in tertiary care hospitals.

Background: Chronic kidney disease (CKD) is a progressive disease that leads to end-stage renal disease (ESRD). Malnutrition increases the risk of mortality among patients with ESRD. This study aimed to determine malnutrition prevalence and associated factors among twice-weekly (n = 94/120) and thrice-weekly (n = 26/120) hemodialysis patients/HDP. Method: A cross-sectional study was conducted at two tertiary-level public hospitals in Dhaka city using a consecutive sampling technique from April to June 2021. Nutritional status was assessed by Malnutrition Inflammation Score (MIS). Multivariable ordinal logistic regression was performed to determine which socioeconomic, clinical, anthropometric, biochemical, and dietary factors are associated with MIS. Results: The prevalence of malnutrition was very high among HDP (severe 15.5%, mild/moderate 56.7%) with an average dialysis vintage of 28.7 months. Comorbidities (80.8%) and gastrointestinal symptoms/GIS (68.3%) were ubiquitous, and "dialysis frequencies" were not associated with MIS in bivariate analysis. Multivariable ordinal regression showed that anthropometric factors like mid-upper arm circumference/MUAC (adjusted odds ratio/AOR = 0.978), post-dialysis body mass index/BMI (AOR = 0.957), and biochemical parameters like albumin (AOR = 0.733) and TIBC/total iron binding capacity (AOR = 0.996) negatively (P < .05) associated with MIS. Moreover, having "no GIS" (AOR = 0.672, P < .001) was 33.0% less likely to be associated with MIS. Contrarily, as the month of dialysis increases, MIS increases by 22.0% (AOR = 1.22). Conclusion: Significant associations of clinical, anthropometric, and biochemical characteristics with MIS indicate the importance of routine screening of the nutritional status of patients with CKD to improve health status and prevent protein-energy wasting. The MIS could be a simple, noninvasive tool for testing nutritional status in patients with CKD.

Comparative Analysis of Tools for Assessment of Protein-Energy Wasting in Chronic Kidney Disease Patients on Maintenance Hemodialysis.

Background: Patients with chronic kidney disease have muscle wasting, sarcopenia, and cachexia that contribute to frailty and morbidity. The present study assessed the prevalence of protein-energy wasting in dialysis-dependent chronic kidney disease population and evaluated the validity of various nutritional assessment tools in diagnosing protein-energy wasting. Materials and Methods: All patients above 18 years undergoing dialysis for more than 3 months without any active infection or malignancy were included in our study. Data from anthropometric measurements, dietary assessment, and blood investigations were collected. Protein-energy wasting was assessed by the International Society of Renal Nutrition and Metabolism 2008 criteria. Diagnostic validity of the nutritional assessment tools to predict protein-energy wasting was estimated by area under the curve, sensitivity, specificity, and accuracy statistics. Results: A total of 146 patients were studied. The prevalence of protein-energy wasting was 56.8%. Protein-energy wasting was significantly associated with socioeconomic status, hospitalization days, and catheter days. Normalized protein catabolism rate had the highest sensitivity (90.4%) for predicting protein-energy wasting. Malnutritional inflammatory score had the highest area under the curve (0.858), specificity (82.5%), and accuracy (82.2%). Mid-upper arm circumference, Dialysis Malnutrition Score, and albumin were also found to be significant predictors of protein-energy wasting. Conclusion: Lack of advanced equipment in suburban and rural centers to detect protein-energy wasting in India can be overcome by using the various stand-alone and combination nutrition assessment tools which have been validated in the present study.

QEEG characteristics associated with malnutrition-inflammation complex syndrome.

End-stage renal disease (ESRD) has been linked to cerebral complications due to the comorbidity of malnutrition and inflammation, which is referred to as malnutrition-inflammation complex syndrome (MICS). The severity of this condition is clinically assessed with the malnutrition-inflammation score (MIS), and a cutoff of five is used to optimally distinguish patients with and without MICS. However, this tool is still invasive and inconvenient, because it combines medical records, physical examination, and laboratory results. These steps require clinicians and limit MIS usage on a regular basis. Cerebral diseases in ESRD patients can be evaluated reliably and conveniently by using quantitative electroencephalogram (QEEG), which possibly reflects the severity of MICS likewise. Given the links between kidney and brain abnormalities, we hypothesized that some QEEG patterns might be associated with the severity of MICS and could be used to distinguish ESRD patients with and without MICS. Hence, we recruited 62 ESRD participants and divided them into two subgroups: ESRD with MICS (17 women (59%), age 60.31 ± 7.79 years, MIS < 5) and ESRD without MICS (20 women (61%), age 62.03 ± 9.29 years, MIS ≥ 5). These participants willingly participated in MIS and QEEG assessments. We found that MICS-related factors may alter QEEG characteristics, including the absolute power of the delta, theta, and beta 1 bands, the relative power of the theta and beta 3 subbands, the coherence of the delta and theta bands, and the amplitude asymmetry of the beta 1 band, in certain brain regions. Although most of these QEEG patterns are significantly correlated with MIS, the delta absolute power, beta 1 amplitude asymmetry, and theta coherence are the optimal inputs for the logistic regression model, which can accurately classify ESRD patients with and without MICS (90.0 ± 5.7% area under the receiver operating characteristic curve). We suggest that these QEEG features can be used not only to evaluate the severity of cerebral disorders in ESRD patients but also to noninvasively monitor MICS in clinical practice.

Consistency of MIS with other malnutrition screening tools among adult and elderly hemodialysis patients.

BACKGROUND AND AIM: Malnutrition and inflammation commonly occur concomitantly among hemodialysis patients. Malnutrition inflammation score (MIS) is a tool that helps clinical and nutritional evaluation of patients regardless of age. This study aimed to determine the best approach by comparing different tools/indices to evaluate the malnutrition and inflammation status of patients having hemodialysis treatment regarding their age and to examine the clinical benefits and consistency of MIS with other malnutrition tools. METHODS: The study was conducted with a sample of 140 hemodialysis patients (70 adults and 70 elderly patients). The biochemical data of the patients were retrospectively obtained, and the research dietitian conducted the anthropometric measures. In addition to MIS, 7 point-SGA (7p-SGA), Nutrition Risk Index (NRI) for adults, and Mini Nutritional Assessment (MNA), Geriatric Nutritional Risk Index (GNRI) for elderly patients were used. The model's discriminatory power was examined by receiver operating characteristics curve analysis. RESULTS: Patients who were "at-risk" according to MIS had significantly lower scores of 7p-SGA and NRI than those who had "no risk" (p<0.001). Moreover, those who are "at-risk" have significantly lower MNA scores than those who are not (p=0.002). Among adult patients, MIS displayed lower sensitivity but higher specificity with NRI than 7p-SGA. However, for elderly patients, MIS showed fair sensitivity and specificity with MNA but the highest sensitivity with GNRI. CONCLUSION: Although different screening tools are available to screen malnutrition among dialysis patients regarding their age, MIS might be more clincally useful as it is more susceptible to assess both malnutrition and inflammation that occur concomitantly.

Impact of the Nutrition-Inflammation Status on the Functionality of Patients with Chronic Kidney Disease.

Functional capacity of chronic kidney disease (CKD) patients is compromised by their nutrition-inflammation status. We evaluated the functional capacity of advanced chronic kidney disease (ACKD) patients and the influence of the nutrition-inflammation status. In a cross-sectional study, which included ACKD patients from the nephrology department of the Hospital Universitario de la Princesa in Madrid, Spain, we assessed: functional capacity with the Short Physical Performance Battery (SPPB) test, interpreting a result <7 in the test as low functionality; body composition with monofrequency bioimpedance; muscular strength with hand grip strength; nutritional and inflammatory status using biochemical parameters and the Malnutrition Inflammation Scale (MIS). A total of 255 patients with ACKD were evaluated, 65.8% were men, their mean age was 70.65 ± 11.97 years and 70.2% of the patients had an age >65 years. The mean score of SPPB was 8.50 ± 2.81 and 76.4% of the patients presented a score ≥7, with a higher percentage in the group of men. The percentage of patients with limitations increased with age. The patients with SPPB values higher than 7 showed high values of albumin and low soluble C-reactive protein (s-CRP) and MIS. We found better functionality in well-nourished patients. A multivariate logistic regression model established an association of high albumin values with a better functional capacity (OR: 0.245 CI: 0.084−0.714 p < 0.010), while another model showed an association between CRP values and decreased functionality (OR: 1.267 CI: 1.007−1.594 p = 0.044). Conclusion: nutritional status and body composition influence on the functional capacity of patients with ACKD.

Evolving Concepts on Inflammatory Biomarkers and Malnutrition in Chronic Kidney Disease.

While patient care, kidney replacement therapy, and transplantation techniques for chronic kidney disease (CKD) have continued to progress, the incidence of malnutrition disorders in CKD appears to have remained unchanged over time. However, there is now a better understanding of the underlying pathophysiology according to the disease background, disease stage, and the treatment received. In CKD patients, the increased production of proinflammatory cytokines and oxidative stress lead to a proinflammatory milieu that is at least partially responsible for the increased morbidity and mortality in this patient population. New insights into the pathogenic role of innate immunity and the proinflammatory cytokine profile, characterized, for instance, by higher levels of IL-6 and TNF-α, explain some of the clinical and laboratory abnormalities observed in these patients. In this article, we will explore currently available nutritional-inflammatory biomarkers in distinct CKD populations (hemodialysis, peritoneal dialysis, transplantation) with a view to evaluating their efficacy as predictors of malnutrition and their involvement in the common proinflammatory process. Although there is a direct relationship between inflammatory-nutritional status, signs and symptoms [e.g., protein-energy wasting (PEW), anorexia], and comorbidities (e.g., atheromatosis, atherosclerosis), we are in need of clearly standardized markers for nutritional-inflammatory assessment to improve their performance and design appropriate bidirectional interventions.

Screening for malnutrition with malnutrition inflammation score and geriatric nutritional risk index in hemodialysis patients.

BACKGROUND AND AIMS: Screening malnutrition, which is the most common complication in hemodialysis patients, is extremely important for these patients. Malnutrition inflammation score (MIS) and geriatric nutritional risk index (GNRI) are malnutrition screening tests used in hemodialysis patients in recent years. The purposes of this study are to evaluate the nutritional status of hemodialysis patients with different screening tests and to determine the cutoff values for this disease-specific MIS and GNRI. METHODS: The study was conducted with 194 adult patients including 98 males and 96 females whose mean age was 53.1 ± 10.96. Subjective global assessment (SGA) and MIS tests were applied, and the GNRI value was calculated for screening malnutrition. MIS and GNRI cutoff values were obtained by adopting the SGA scores as a standard and drawing a receiver operating characteristic curve. The tatistical Package for the Social Sciences-22.0 package program was used in the analysis. RESULTS: According to SGA, 70.7% of the patients were nourished, 21.1% were mildly-moderately malnourished, and 8.2% were found to be severely malnourished. The optimal cutoff value predicted for malnutrition was 6.5 points (94.7% sensitivity and 98.5% specificity) for MIS and 86.0 points (64.9% sensitivity and 62.8% specificity) for GNRI. Based on these cutoff values, 28.9% of the patients were determined to be malnourished according to MIS and 45.4% according to GNRI. CONCLUSION: In conclusion, screening tests are very important in the early identification of malnutrition in hemodialysis patients. This study was conducted to evaluate the malnutrition of hemodialysis patients with different screening tests. At the end of the study, the availability of MIS was found to be high in detecting malnutrition in hemodialysis patients because of its high accuracy and sensitivity of MIS. The cutoff points we identified for both MIS and GNRI are thought to facilitate the determination of malnutrition.

Prevalence of Protein-Energy Wasting in Dialysis Patients Using a Practical Online Tool to Compare with Other Nutritional Scores: Results of the Nutrendial Study.

This cross-sectional study aims to explore the prevalence of protein-energy wasting (PEW) in dialysis patients in Catalonia, Spain, using a new and practical online tool which enables rapid calculation and comparison with other nutritional scores. METHODS: A web tool (Nutrendial) was created to introduce different variables and automatically calculate PEW, Malnutrition inflammation Score (MIS) and Subjective Global Assessment (SGA) in 1389 patients (88% in haemodialysis (HD)), 12% in peritoneal dialysis (PD) from different regions of Catalonia. RESULTS: A prevalence of 23.3% (26% HD, 10.2% PD) of PEW was found, with a mean MIS score of 6 and SGA score of C in 7% of the patients. ROC analysis showed MIS as the best nutritional score to diagnose PEW (AUC 0.85). Albumin delivered lower diagnostic precision (AUC 0.77) and sensitivity (66%). A cut off point of 7 (86% sensitivity and 75% specificity) for MIS and 3.7 mg/dL for albumin were found to predict the appearance of PEW in this population. SGA B or C showed an 87% sensitivity and 55% specificity to diagnose PEW. Very low nutritional intervention (14%) was recorded with this tool in patients with PEW. CONCLUSIONS: This new online tool facilitated the calculation of PEW, enabling different professionals-including nephrologists, dieticians and nurses-to efficiently obtain insights into the nutritional status of the Catalonian dialysis population and implement the required nutritional interventions. MIS is the score with more sensitivity to diagnose PEW.