Assessing the prevalence of protein-energy wasting in haemodialysis patients: A cross-sectional monocentric study

Potential Determinants of Subjective Global Assessment Among Patients on Maintenance Hemodialysis

OBJECTIVE

The Subjective Global Assessment (SGA) is a validated tool for identifying nutritional status in patients receiving maintenance hemodialysis (MHD), but it is not without limitations. Current research identifies additional clinical characteristics such as phase angle (PhA) associated with SGA. This study aimed to assess the overall correlation between PhA and SGA; associations between PhA and SGA by body mass index, and to identify clinical characteristics associated with SGA.

DESIGN AND METHODS

This is a secondary analysis of the Rutgers Nutrition & Kidney Database, which enrolled participants from four primary studies that included adults diagnosed with chronic kidney disease who were receiving MHD. Multivariable binary logistic regression analyses were conducted to estimate odds ratio (OR) and corresponding 95% confidence intervals (CIs).

RESULTS

The study sample included 60.0% males with 81.1% of the sample identifying as African American. Additionally, 38.9% were obese according to the body mass index classification, and 57.0% were moderately malnourished. Patients with obesity had 44% lower odds of being moderately malnourished (OR = 0.56, 95% CI = 0.37, 0.85). In the model adjusted for age and ethnicity and other clinical characteristics, increasing PhA values by one unit was associated with 28% lower odds (OR = 0.72, 95% CI = 0.53, 0.97) of being moderately malnourished while increasing waist circumference (WC) values by one unit was associated with 12% higher odds (OR = 1.12; 95% CI = 1.06, 1.19) of being moderately malnourished than well-nourished. In this fully adjusted model, increasing fat free mass (FFM, OR = 0.95, 95% CI = 0.91, 0.99) and fat mass (FM, OR = 0.92, 95% CI = 0.87, 0.97) by 1 kg was also associated with 5% and 8% lower odds of being moderately malnourished, respectively.

CONCLUSION

PhA and SGA were significantly associated only among patients classified as obese. PhA, WC, FM, and FFM were identified as potential clinical determinants of SGA. Patients receiving MHD and who have obesity may benefit from utilizing SGA along with WC, PhA, FM, and FFM to assess nutritional status.

Independent Association Between Malnutrition Inflammation Score and C Reactive Protein/Albumin Ratio in Hemodialysis Patients

Introduction

This study aimed to investigate the relationship between the Malnutrition Inflammation Score (MIS) and the C-reactive protein/albumin ratio (CAR) in patients undergoing hemodialysis (HD).

Materials and Methods

Sixty-six End-Stage Renal Disease (ESRD) patients on maintenance hemodialysis were recruited for the study. Malnutrition Inflammation Score, biochemical parameters, and C-reactive protein/albumin ratio were analyzed.

Results

The mean age of the participants was 56.47 ± 17.3 years. A statistically significant positive correlation was found between the CRP/albumin ratio and MIS ≥7 (r = 0.413, p = 0.026), CRP and MIS ≥7 (r = 0.388, p = 0.038) and a negative correlation between albumin and MIS (r = -0.511, p = 0.005). Additionally, MIS was negatively correlated with hemoglobin (r = -0.412, p = 0.026) and creatinine (r = -0.568, p = 0.001), while a positive correlation was found between MIS and ferritin (r = 0.584, p = 0.001) for MIS ≥7. A multiple regression ANOVA model confirmed a significant association between CAR, CRP, albumin, and MIS (F = 6.432, p = 0.002), with significant contributions from CAR (p = 0.003), albumin (p = 0.008), and CRP (p = 0.003).

Conclusion

Our study is the first to show an independent association between CAR and MIS in hemodialysis patients. The CRP/albumin ratio can serve as a valuable indicator of malnutrition in this population, providing a reliable tool for assessing nutritional status.

Higher Muscle Mass and Higher Serum Prealbumin Levels Are Associated with Better Survival in Hemodialysis Patients during a Five-Year Observation Period

BACKGROUND

Dialysis is the most commonly used renal replacement therapy in patients with end-stage renal disease. The mortality rate of hemodialysis patients is 15-20%, with cardiovascular complications being the most common. There is an association between the severity of atherosclerosis and both the development of protein-calorie malnutrition and inflammatory mediators. The aim of this study was to assess the relationship between biochemical markers of nutritional status, body composition and survival in hemodialysis patients.

METHODS

Fifty-three hemodialysis patients were included in the study. Serum albumin, prealbumin, and IL-6 levels were measured, as well as body weight, body mass index, fat content and muscle mass. The five-year survival of patients was calculated using Kaplan-Meier estimators. The long-rank test was used for univariate comparison of survival curves, and the Cox proportional hazards model was used for multivariate analysis of survival predictors.

RESULTS

There were 47 deaths, 34 of which were due to cardiovascular disease. The hazard ratio (HR) for age in the middle-aged group (55-65 years) was 1.28 (confidence interval [CI] 0.58, 2.79) and 5.43 (CI 2.1, 14.07; statistically significant) for the oldest age group (over 65 years). A prealbumin level above 30 mg/dl was associated with an HR of 0.45 (CI 0.24, 0.84). Serum prealbumin (odds ratio [OR] = 5.23; CI 1.41, 19.43; p = 0.013) and muscle mass (OR = 7.5; CI 1.31, 43.03; p = 0.024) were significant predictors of all-cause mortality.

CONCLUSIONS

Prealbumin level and muscle mass were associated with increased mortality risk. Identification of these factors may improve the survival of hemodialysis patients.

Machine learning models using non-linear techniques improve the prediction of resting energy expenditure in individuals receiving hemodialysis

PURPOSE

Approximately 700,000 people in the USA have chronic kidney disease requiring dialysis. Protein-energy wasting (PEW), a condition of advanced catabolism, contributes to three-year survival rates of 50%. PEW occurs at all levels of Body Mass Index (BMI) but is devastating for those people at the extremes. Treatment for PEW depends on an accurate understanding of energy expenditure. Previous research established that current methods of identifying PEW and assessing adequate treatments are imprecise. This includes disease-specific equations for estimated resting energy expenditure (eREE). In this study, we applied machine learning (ML) modelling techniques to a clinical database of dialysis patients. We assessed the precision of the ML algorithms relative to the best-performing traditional equation, the MHDE.

METHODS

This was a secondary analysis of the Rutgers Nutrition and Kidney Database. To build the ML models we divided the population into test and validation sets. Eleven ML models were run and optimized, with the best three selected by the lowest root mean squared error (RMSE) from measured REE. Values for eREE were generated for each ML model and for the MHDE. We compared precision using Bland-Altman plots.

RESULTS

Individuals were 41.4% female and 82.0% African American. The mean age was 56.4 ± 11.1 years, and the median BMI was 28.8 (IQR = 24.8 - 34.0) kg/m2. The best ML models were SVR, Linear Regression and Elastic net with RMSE of 103.6 kcal, 119.0 kcal and 121.1 kcal respectively. The SVR demonstrated the greatest precision, with 91.2% of values falling within acceptable limits. This compared to 47.1% for the MHDE. The models using non-linear techniques were precise across extremes of BMI.

CONCLUSION

ML improves precision in calculating eREE for dialysis patients, including those most vulnerable for PEW. Further development for clinical use is a priority.

Association of Circulating Trimethylamine-N Oxide With Malnutrition and the Risk of Coronary Artery Disease in Patients With Maintenance Hemodialysis

OBJECTIVES

Malnutrition is a serious complication frequently observed in dialysis patients. Therefore, nutrition status evaluation and the early identification of malnutrition are clinically important. Trimethylamine N-oxide (TMAO) is reportedly associated with deteriorating metabolic profiles and cardiovascular diseases. The aim of our study was to investigate correlations between circulating TMAO levels and malnutrition and the risk of major adverse cardiovascular events in patients on maintenance hemodialysis.

METHODS

This retrospective observational study involved 228 subjects. Fasting plasma TMAO levels were detected using liquid chromatography-tandem mass spectrometry.

RESULTS

TMAO levels were significantly elevated in patients with malnutrition (8728.78 ± 704.12 ng/mL) when compared with those without (6532.1 ± 570.41 ng/mL, P < .01). TMAO levels were positively correlated with Subjective Global Assessment scores (ρ = 0.56, P = .02) and were independent risk factors for malnutrition after adjustment for multiple traditional risk factors (odds ratio = 2.07, 95% confidence interval: 1.41-3.62, P < .01). Furthermore, TMAO levels were good predictors of major adverse cardiovascular events in a 2-year follow-up period (area under the curve = 0.68, P < .01) and accuracy was increased to 74% when TMAO levels were combined with Subjective Global Assessment scores (area under the curve = 0.74, P = .02).

CONCLUSIONS

Elevated TMAO levels were independently associated with a risk of malnutrition and cardiovascular disease, and could be a useful predictive biomarker for risk stratification and cardiovascular disease management for patients on dialysis.

Compliance of NKF KDOQI 2020 nutrition guideline recommendations with other guideline recommendations and protein energy wasting criteria in hemodialysis patients

INTRODUCTION

Nutrition in hemodialysis patients is important in decreasing complications, improving quality of life, and preventing of malnutrition. Recommendations of the guidelines are taken into consideration while prescribing a nutrition therapy plan for patients. However, the recommendations may differ between the guidelines. It was aimed to compare the newly published National Kidney Foundation Kidney Disease Outcomes Quality Initiative (NKF KDOQI) guideline with previous reported two guideline recommendations and protein energy wasting criteria in this study.

MATERIALS AND METHODS

Fifty-five maintenance hemodialysis patients between the ages of 18-65 were included in the study. Daily energy intake and daily protein intake of these patients were evaluated by three different nutrition guidelines; NKF KDOQI-2000, 2020 and European Best Practice Guidelines-2007. In addition, protein energy wasting was determined by using anthropometric measurements, biochemical findings and food intake of the patients.

RESULTS

When the inadequacy rate in dietary daily energy intake and daily protein intake of the patients evaluated by NKF KDOQI-2000 recommendations, it was found to be higher than the rates in other two recommendations (P<0.05). Based on criteria, protein energy wasting was detected in 29.1% of the patients. While the NKF KDOQI-2020 daily energy intake recommendation was not consistent with other guideline recommendations, it seems highly compatible with protein energy wasting recommendations such as albumin, body mass index, mid-upper arm circumference, energy, and protein intake. While NKF KDOQI-2020 daily protein intake recommendation complies with European Best Practice Guidelines-2007 recommendations, the level of agreement with protein energy wasting criteria is very low.

CONCLUSION

Inadequate protein intake is still an ongoing problem in hemodialysis patients. NKF KDOQI-2020 guidelines provide a more suitable and applicable daily energy intake recommendation for patients compared to the previous guidelines.

Associations Between Blood Trace Element Levels and Nutritional Status in Maintenance Hemodialysis

OBJECTIVE(S)

We aimed to investigate the associations between blood trace element levels and nutritional status in patients undergoing maintenance hemodialysis (MHD).

METHODS

This cross-sectional study included patients undergoing MHD who were treated at our center in September 2019. Clinical and demographic data and blood samples were collected before hemodialysis sessions, and the levels of manganese, lead, selenium, zinc, and copper were measured by inductively coupled plasma mass spectrometry. The Simplified Nutritional Appetite Questionnaire scale was used to assess patient appetite. Skinfold thickness, bicep circumference, upper arm muscle circumference, 7-point Subjective Global Assessment, Nutritional Risk Screening 2002 (NRS 2002), and Geriatric Nutritional Risk Index (GNRI) were used to assess patient nutritional status. Univariate and multivariate logistic regression analyses were performed to study the relationship between trace elements and nutritional indicators.

RESULTS

In total, 118 patients (64 males and 54 females) were included, with a median dialysis vintage of 34.0 months (16.0-54.5 months) and an average age of 63.20 ± 14.26 years. Malnourished patients, as defined by the GNRI, Subjective Global Assessment, and NRS 2002, accounted for 28.0%, 49.2%, and 26.3% of enrolled patients, respectively. The multivariate binary logistic regression showed that higher blood copper levels were independently associated with nutritional risk defined as GNRI ≤91.2 (odds ratio [OR] = 1.003, 95% confidence interval [CI] = 1.000-1.006; P = .020), whereas lower blood zinc levels (OR = 0.634, 95% CI = 0.439-0.916; P = .015), blood zinc < 4.220 mg/L (OR = 3.723, 95% CI = 1.274-10.879; P = .016), lower blood selenium levels (OR = 0.959, 95% CI = 0.929-0.990; P = .010), and blood selenium < 85 μg/L (OR = 5.568, 95% CI = 1.039-29.840; P = .045) were independently associated with a nutritional risk defined as NRS 2002 ≥ 3.

CONCLUSION(S)

Higher levels of blood copper and lower levels of blood zinc and selenium were independently associated with higher nutritional risk in MHD patients.

Resting metabolic rate and its adjustments as predictors of risk protein-energy wasting in hemodialysis patients

Background: The purpose of the present study was to explore the association between resting metabolic rate (RMR) and protein-energy wasting (PEW) risk in Chinese hemodialysis patients by age and gender subgroup.

Methods: RMR and body composition (body cell mass (BCM) and fat mass) of 774 patients undergoing hemodialysis were estimated by bio-electrical impedance analysis (BIA). Anthropometric data were collected by a standard measurement protocol, and the upper arm muscle circumference (AMC) was calculated. Biochemical nutritional and dialysis parameters were obtained. Linear regression analysis was used to analyze the relationship among RMR, body composition and nutritional factors.

Results: The mean age was 54.96 ± 15.78 years. RMR level in patients was 1463.0 (1240.5, 1669.0) kcal/d. In multiple linear regression models, BCM, left calf circumference (LCC), fat mass were the determinants association with RMR (P<0.001). Among the patients in the sample, 133 (17.2%) had been diagnosed with PEW per International Society of Renal Nutrition and Metabolism (ISRNM) criteria and 363 (46.9%) were being at risk PEW. The area under the receiver-operating characteristic curve (AUC) of RMR for predicting risk PEW was greater than RMR/BCM and RMR/body surface area (BSA). When the cutoff of RMR was 1481 kcal/d it had the higher sensitivity and specificity (82 and 42%), and the AUC was 0.68 in elderly maintenance hemodialysis (MHD) patients (P<0.001). After adjustment for potential confounders, lowest RMR quartile level (<1239) increased the risk of PEW (OR = 4.71, 95% CI: 1.33–16.64, P=0.016) in all patients.

Conclusions: Older patients with PEW have a lower RMR reduction. RMR and RMR/BCM may play the role in objective screening to detect risk PEW in MHD patients, especially in males.

Understanding Development of Malnutrition in Hemodialysis Patients: A Narrative Review

Hemodialysis (HD) majorly represents the global treatment option for patients with chronic kidney disease stage 5, and, despite advances in dialysis technology, these patients face a high risk of morbidity and mortality from malnutrition. We aimed to provide a novel view that malnutrition susceptibility in the global HD community is either or both of iatrogenic and of non-iatrogenic origins. This categorization of malnutrition origin clearly describes the role of each factor in contributing to malnutrition. Low dialysis adequacy resulting in uremia and metabolic acidosis and dialysis membranes and techniques, which incur greater amino-acid losses, are identified modifiable iatrogenic factors of malnutrition. Dietary inadequacy as per suboptimal energy and protein intakes due to poor appetite status, low diet quality, high diet monotony index, and/or psychosocial and financial barriers are modifiable non-iatrogenic factors implicated in malnutrition in these patients. These factors should be included in a comprehensive nutritional assessment for malnutrition risk. Leveraging the point of origin of malnutrition in dialysis patients is crucial for healthcare practitioners to enable personalized patient care, as well as determine country-specific malnutrition treatment strategies.

Impact of malnutrition on health-related quality of life in patients on maintenance hemodialysis

Malnutrition is considered as one of the most important risk factors that adversely affect the quality of life (QOL) in maintenance hemodialysis (MHD) patients. Many clinically useful nutrition assessment techniques are now available, but the usefulness of such techniques in predicting QOL in MHD patients had not been sufficiently tested. The aim of this study was to explore the relation between different nutritional assessment methods, and QOL and identify nutritional parameter that can best predict physical and mental domains of QOL in MHD patients. This cross-sectional study involved 84 MHD patients. Nutritional status was assessed by using International Society of Renal Nutrition and Metabolism criteria for diagnosis of protein-energy wasting (PEW), malnutrition inflammation score (MIS), subjective global assessment (SGA), anthropometric measurements, bioelectrical impedance analysis, and biochemical tests. Quality of life was evaluated by using the Kidney Disease Quality of Life (36 KDQOL-36). Only mental health composite component of QOL (MHC) showed statistically significant differences between PEW and non-PEW groups. MHC was correlated with serum albumin, MIS, and SGA. Physical health composite component (PHC) was correlated with age, hemodialysis duration, socioeconomic status, comorbidity, educational level, serum creatinine and ferritin, MIS, and SGA. On multiple linear regression analysis, MIS was found to be the most significant predictor of PHC while none of the nutritional parameters can predict MHC. Malnutrition is not uncommon problem in MHD patients that is associated with poor QOL. There are multiple factors associated with PHC and only malnutrition afflicts MHC in those patients.

Diaphragmatic dysfunction associates with dyspnoea, fatigue, and hiccup in haemodialysis patients: a cross-sectional study

Muscle wasting is associated with increased mortality and morbidity in chronic kidney disease (CKD) patients, especially in the haemodialysis (HD) population. Nevertheless, little is known regarding diaphragm dysfunction in HD patients. We conducted a cross-sectional study at the Institute of Nephrology, Southeast University, involving 103 HD patients and 103 healthy volunteers as normal control. Ultrasonography was used to evaluate diaphragmatic function, including diaphragm thickness and excursion during quiet and deep breathing. HD patients showed lower end-inspiration thickness of the diaphragm at total lung capacity (0.386 ± 0.144 cm vs. 0.439 ± 0.134 cm, p < 0.01) and thickening fraction (TF) (0.838 ± 0.618 vs. 1.127 ± 0.757; p < 0.01) compared to controls. The velocity and excursion of the diaphragm were significantly lower in the HD patients during deep breathing (3.686 ± 1.567 cm/s vs. 4.410 ± 1.720 cm/s, p < 0.01; 5.290 ± 2.048 cm vs. 7.232 ± 2.365 cm; p < 0.05). Changes in diaphragm displacement from quiet breathing to deep breathing (△m) were lower in HD patients than in controls (2.608 ± 1.630 vs. 4.628 ± 2.110 cm; p < 0.01). After multivariate adjustment, diaphragmatic excursion during deep breathing was associated with haemoglobin level (regression coefficient = 0.022; p < 0.01). We also found that the incidence of dyspnoea and hiccup and the fatigue scores, all of which were related to diaphragmatic dysfunction, were significantly higher in HD patients than in controls (all p < 0.01). Improving diaphragm function through targeted therapies may positively impact clinical outcomes in HD patients.

Predictors of mortality in hemodialysis patients

Introduction

Mortality in patients with chronic renal failure is high compared to the general population. The objective of our study is to evaluate the predictive factors related to mortality in hemodialysis.

Methods

This is a retrospective study involving 126 hemodialysis patients in the Nephrology Department of Ibn Rochd Hospital, Casablanca. Data were collected between January 2012 and January 2016. For each of our patients, we analyzed demographic, clinical, biological and anthropometric data. The Kaplan-Meier method and the log-rank test were used to evaluate and compare survival curves. To evaluate the effect of predictors of mortality, we used the proportional Cox hazard model.

Results

The analysis of the results showed that the surviving patients were younger than the deceased patients (43.07±13.52 years versus 53.09±13.56 years, p=0.001). Also, the latter has a significantly lower albumin and prealbumin levels (p=0.01 and p=0.04 respectively). Overall survival was 80.2%. Cox regression analysis at age (HR=1.26, p<0.0002), inflammation (HR=1.15, p<0.03), AIP> 0.24 (HR=2.1, p<0.002) and cardiovascular disease (RR=2.91, p<0.001) were associated with global and cardiovascular mortality.

Conclusion

Our study showed that the mortality rate is high in our cohort. In addition, cardiovascular diseases, under nutrition and inflammation are predictive factors for mortality. Treatment and early management of these factors are essential for reducing morbidity and mortality.

Geriatric Nutritional Risk Index Is Predictive of Subjective Global Assessment and Dialysis Malnutrition Scores in Elderly Patients on Hemodialysis

OBJECTIVE

Malnutrition is a frequent complication in patients on hemodialysis (HD), even if its adequate appraisal remains one of the most complicated challenges in the HD scenario because of the limits of current malnutrition biomarkers. The aim of our study was to assess the relation of subjective nutritional tools Subjective Global Assessment (SGA) and Dialysis Malnutrition Score (DMS) with the objective malnutrition tool Geriatric Nutritional Risk Index (GNRI) in elderly patients on HD.

METHODS

This is a cross-sectional study involving 71 patients on maintenance HD. Mann-Whitney U and chi-square tests were used to compare data of male and female patients on HD. Linear and logistic regression models were used to assess the variables tested in all patients.

RESULTS

GNRI was not different between male and female patients on HD, and it was negatively related to SGA and DMS: B, -0.05 (95% confidence interval, -0.08 to -0.02) P = 0.00 and B, -0.30 (95% confidence interval, -0.47 to -0.14) P = .00, respectively. Both continuous and categorical GNRI data were predictive of SGA = 3: Odds Ratio (OR), 0.74 (0.63 to 0.87) P = 0.00 and OR, 6.74 (1.54 to 29.45) P = 0.01, respectively. Similarly, GNRI data were related to DMS > 13: OR, 0.85 (0.76 to 0.85) P = 0.00 and 3.29 (1.08 to 10.05) P = 0.03, respectively. Continuous GNRI data remained significant in both male and female patients separately, whereas categorical GNRI data, only in male patients.

CONCLUSIONS

GNRI is a reliable nutritional tool predictive of subjective malnutrition scores SGA and DMS, pointing out a relation between objective and subjective malnutrition indexes in both genders.

Subjective Global Assessment-Dialysis Malnutrition Score and cardiovascular risk in hemodialysis patients: an observational cohort study

BACKGROUND

Malnutrition is an important risk factor for cardiovascular mortality in hemodialysis (HD) patients. However, current malnutrition biomarkers seem unable to accurately estimate the role of malnutrition in predicting cardiovascular risk. Our aim was to investigate the role of the Subjective Global Assessment-Dialysis Malnutrition Score (SGA-DMS) compared to two well-recognized comorbidity scores-Charlson Comorbidity Index (CCI) and modified CCI (excluding age-factor) (mCCI)-in predicting cardiovascular events in HD patients.

METHODS

In 86 maintenance HD patients followed from June 2015 to June 2017, we analyzed biohumoral data and clinical scores as risk factors for cardiovascular events (acute heart failure, acute coronary syndrome and stroke). Their impact on outcome was investigated by linear regression, Cox regression models and ROC analysis.

RESULTS

Cardiovascular events occurred in 26/86 (30%) patients during the 2-year follow-up. Linear regression showed only age and dialysis vintage to be positively related to SGA-DMS: B 0.21 (95% CI 0.01; 0.30) p 0.05, and B 0.24 (0.09; 0.34) p 0.02, respectively, while serum albumin, normalized protein catabolic rate (nPCR) and dialysis dose (Kt/V) were negatively related to SGA-DMS: B - 1.29 (- 3.29; - 0.81) p 0.02; B - 0.08 (- 1.52; - 0.35) p 0.04 and B - 2.63 (- 5.25; - 0.22) p 0.03, respectively. At Cox regression analysis, SGA-DMS was not a risk predictor for cardiovascular events: HR 1.09 (0.9; 1.22), while both CCI and mCCI were significant predictors: HR 1.43 (1.13; 1.87) and HR 1.57 (1.20; 2.06) also in Cox adjusted models. ROC analysis reported similar AUCs for CCI and mCCI: 0.72 (0.60; 0.89) p 0.00 and 0.70 (0.58; 0.82) p 0.00, respectively, compared to SGA-DMS 0.56 (0.49; 0.72) p 0.14.

CONCLUSIONS

SGA-DMS is not a superior and significant prognostic tool compared to CCI and mCCI in assessing cardiovascular risk in HD patients, even it allows to appraise both malnutrition and comorbidity status.

Subjective Global Assessment-Dialysis Malnutrition Score and arteriovenous fistula outcome: A comparison with Charlson Comorbidity Index

INTRODUCTION:

Malnutrition is a well-recognized risk factor for all-cause mortality in hemodialysis patients. However, its role for arteriovenous fistulas outcome has not been exhaustively investigated. Our aim was to point out the impact of Subjective Global Assessment-Dialysis Malnutrition Score as independent predictor of arteriovenous fistulas thrombosis (vascular access thrombosis) and/or significant stenosis (vascular access stenosis). In addition, we compared it with the widespread Charlson Comorbidity Index.

METHODS:

We assessed 57 hemodialysis patients for a 2-year interval and evaluated the incidence of vascular access thrombosis and/or stenosis. Linear regression analysis was used to test the relation of variables with Subjective Global Assessment-Dialysis Malnutrition Score at baseline. Logistic and Cox regression analysis evaluated markers as predictors of both vascular access thrombosis and stenosis. Receiver operating characteristic curve analysis was used to compare area under the curve values of Subjective Global Assessment-Dialysis Malnutrition Score, Charlson Comorbidity Index, and modified Charlson Comorbidity Index.

RESULTS:

Age and Charlson Comorbidity Index were positively related to Subjective Global Assessment-Dialysis Malnutrition Score: B = 0.06 (95% CI = 0.01; 0.11) and B = 0.31 (95% CI = 0.01; 0.63). Higher albumin and normalized protein catabolic rate levels had a protective role against vascular access failure: OR = 0.67 (95% CI = 0.56; 0.81) and OR = 0.46 (95% CI = 0.32; 0.67), respectively. Higher Subjective Global Assessment-Dialysis Malnutrition Score and Charlson Comorbidity Index values were significant risk factors: HR = 1.42 (95% CI = 1.04; 1.92) and HR = 1.48 (95% CI = 1.01; 2.17), respectively. Area under the curve of Subjective Global Assessment-Dialysis Malnutrition Score was significantly higher than those of both Charlson Comorbidity Index and modified Charlson Comorbidity Index: 0.70 (95% CI = 0.50; 0.88) versus 0.61 (95% CI = 0.41; 0.80) and 0.55 (95CI% = 0.41; 0.70).

CONCLUSION:

Subjective Global Assessment-Dialysis Malnutrition Score, as well as Charlson Comorbidity Index, are useful tools to predict vascular access failure and should be carefully and periodically evaluated in order to check significant variations that may compromise vascular access survival.