Screening for protein energy wasting in children with chronic kidney disease using dual energy x-ray absorptiometry as an additional tool.

BACKGROUND: The current diagnosis of protein energy wasting (PEW) is based on scoring systems that lack precision in measuring muscle deficits. We undertook this cross-sectional study to determine the prevalence of PEW in children with chronic kidney disease (CKD) using a scoring system that included dual energy x-ray absorptiometry (DEXA) for measuring lean body mass (LBM) and to determine the prevalence of selected markers in PEW. METHODS: Thirty CKD and 20 healthy children (1-18 years) were evaluated for (1) reduced dietary protein intake (DPI); (2) BMI < fifth centile for height age (BMI/HA); (3) serum albumin < 3.8 g/dl, cholesterol < 100 mg/dl, or CRP > 3 mg/L; (4) LBM < fifth centile for height age [LBMr] on DEXA. PEW was scored as minimal-one parameter positive in 2/4 categories; standard-one parameter positive in 3/4 categories; or modified-standard plus height < 2 SD. RESULTS: Twenty children with CKD (66.7%) had PEW, (5/9) 55% in CKD 3, and (15/21) 71% in advanced CKD; minimal 12, standard 1, and modified 7. LBMr was seen in 20 (100%), reduced DPI in 16 (80%), and BMI/HA in 6 (30%) children with PEW. LBMr had 100% sensitivity and BMI/HA 100% specificity. LBMr was seen in 8 who had no other criteria for PEW. None of the parameters were positive in controls (p < 0.01). CONCLUSIONS: PEW prevalence in CKD was high. Both prevalence and severity were higher in advanced CKD. LBMr was a highly sensitive marker to detect PEW. LBMr seen in some children with CKD who were negative for other markers could represent subclinical PEW.

The ability of the Global Leadership Initiative on Malnutrition (GLIM) to diagnose protein-energy malnutrition in patients requiring vascular surgery: a validation study.

Identifying nutritional deficits and implementing appropriate interventions in patients requiring vascular surgery is challenging due to the paucity of appropriate screening and assessment tools in this group. This retrospective study aimed to determine the validity of the Global Leadership Initiative on Malnutrition (GLIM) in identifying protein-energy malnutrition (PEM) in inpatients admitted to a vascular surgery unit, using the PG-SGA as the comparator. Diagnostic accuracy and consistency were determined between the GLIM and the Patient-Generated Subjective Global Assessment (PG-SGA) global rating. The GLIM determination was made retrospectively using the relevant parameters collected at baseline in the original study. Two hundred and twenty-four (70·1 % male) participants were included. The prevalence of PEM was 28·6 % on GLIM and 17 % via the PG-SGA. Compared with the PG-SGA, the GLIM achieved sensitivity of 73·7 % and specificity of 80·6 %; however positive predictive value was 43·7 % indicating that the GLIM over-diagnosed malnutrition compared with the PG-SGA. Kappa reached 0·427 indicating moderate diagnostic consistency. Due to the absence of an ideal instrument and the complexity of malnutrition often seen in this group which extends beyond PEM to significant micronutrient deficiencies, further work is required to determine the most appropriate instrument in this patient group, and how micronutrient status can also be included in the overall assessment given the critical role of micronutrients in this group.

Interactive effects of vitamin D and serum uric acid concentration on protein-energy wasting in maintenance hemodialysis patients.

This study aimed to explore the influence of the interaction between vitamin D level and blood uric acid level on protein-energy wasting (PEW) in patients with Maintenance hemodialysis (MHD), in order to provide a solution for disease prevention. For this aim, a total of 150 patients with maintenance hemodialysis aged 30-79 years in a hospital were included in the study. The logistic regression model was used to analyze the relationship between vitamin D level, blood uric acid level and PEW, and the additive interaction was evaluated by calculating the relative excess risk ratio (RERI) attributive ratio (AP) and synergy index (S) of the interaction. Finally, the ROC curve was drawn to evaluate the diagnostic value of vitamin D level and blood uric acid level for PEW. In this study, the detection rate of PEW was 68%, low vitamin D level was 57.33%, and high blood uric acid level was 64.67%. Compared with non-low vitamin D levels, the PEW risk was OR=16.794, 95%CI: 4.973-60.356; Compared with those without high uric acid levels, the PEW risk was OR=7.599, 95%CI: 2.460-23.468. However, there was no multiplicative interaction between the two on PEW risk (OR=0.345, 95%CI: 0.060-1.983, P=0.233). In the additive interaction analysis, the PEW risk OR=43.992,95%CI: 12.795-151.253, higher than those with only high uric acid levels or only low vitamin D levels, the combination of the two had a summative interaction with PEW risk, with a RERI of 20.599 (95%CI: -26.158-67.356) API was 0.468 (-0.159-1.095) and S was 1.920 (0.569-6.483). In conclusion, both vitamin D deficiency and high uric acid levels were associated with an increased risk of PEW in MHD patients, and low vitamin D and high uric acid levels had a summative interaction with protein-energy expenditure risk.

Study on the correlation between bioelectrical impedance analysis index and protein energy consumption in maintenance dialysis patients.

BACKGROUND: Protein-energy wasting (PEW) has been reported to be pretty common in maintenance dialysis patients. However, the existing PEW diagnostic standard is limited in clinical use due to the complexity of it. Bioelectrical impedance analysis (BIA), as a non-invasive nutritional assessment method, can objectively and quantitatively analyze the changes of body tissue components under different nutritional states. We aim to explore the association between PEW and BIA and establish a reliable diagnostic model of PEW. METHODS: We collected cross-sectional data of 609 maintenance dialysis patients at the First Affiliated Hospital, College of Medicine, Zhejiang University. PEW was diagnosed according to International Society of Renal Nutrition and Metabolism (ISRNM) criteria. Among them, 448 consecutive patients were included in the training set for the establishment of a diagnostic nomogram. 161 consecutive patients were included for internal validation. 52 patients from Zhejiang Hospital were included for external validation of the diagnostic model. Correlation analysis of BIA indexes with other nutritional indicators was performed. Logistic regression was used to examine the association of BIA indexes with PEW. 12 diagnostic models of PEW in maintenance dialysis patients were developed and the performance of them in terms of discrimination and calibration was evaluated using C statistics and Hosmer-Lemeshow-type χ2 statistics. After comparing to existing diagnostic models, and performing both internal and external validation, we finally established a simple but reliable PEW diagnostic model which may have great value of clinical application. RESULTS: A total of 609 individuals from First Affiliated Hospital, College of Medicine, Zhejiang University and 52 individuals from Zhejiang Hospital were included. After full adjustment, age, peritoneal dialysis (compared to hemodialysis), subjective global assessment (SGA, compared to non-SGA) and water ratio were independent risk factors, while triglyceride, urea nitrogen, calcium, ferritin, BCM, VFA and phase angle were independent protective factors of PEW. The model incorporated water ratio, VFA, BCM, phase angle and cholesterol revealed best performance. A nomogram was developed according to the results of model performance. The model achieved high C-indexes of 0.843 in the training set, 0.841 and 0.829 in the internal and external validation sets, respectively, and had a well-fitted calibration curve. The net reclassification improvement (NRI) showed 8%, 13%, 2%, 38%, 36% improvement of diagnostic accuracy of our model compared with "PEW score model", "modified PEW score model", "3-index model", "SGA model" and "BIA decision tree model", respectively. CONCLUSIONS: BIA can be used as an auxiliary tool to evaluate PEW risk and may have certain clinical application value.

Deconstructing Disease-Related Malnutrition: A New Assessment Framework for Clinical Practice.

Protein-energy wasting (PEW) is a key cause of functional impairment and poor health outcomes in people with chronic kidney disease. While PEW can be mitigated with nutrition therapy, it is a complex myriad of disorders with numerous interacting etiologies and corresponding presentations, which make it difficult to diagnose and manage in practice. A variety of scoring rubrics have been developed to facilitate malnutrition assessment. Although these tools have greatly benefited the recognition and treatment of PEW, the typical format of grading specified PEW indicators has the potential to overlook or overstate highly relevant individual-specific factors. This review presents a simple framework for malnutrition assessment that can be used to complement and evaluate conventional assessment tools. Unlike standard tools, which are designed to identify and rate malnutrition risk and severity, the malnutrition framework is conceptual model that organizes PEW assessment into three distinct, but interacting facets of PEW risk: nutrient balance, nutrition status, and malnutrition risk. The new framework encourages critical thinking about PEW risk that may help clinicians plan and interpret assessments to efficiently and effectively manage this condition.

[Effect of hemoperfusion on protein energy wasting and long-term prognosis in patients on maintenance hemodialysis].

Objective: To explore the effect of hemoperfusion (HP) combined with hemodialysis (HD) (HD+HP) on protein energy wasting (PEW) and long-term prognosis in patients on maintenance HD (MHD). Methods: A prospective multicenter cohort study was conducted. Adult MHD patients who completed PEW assessment and underwent regular dialysis between July 2015 and July 2021 at 23 hemodialysis centers in Guizhou Province were selected. Demographic characteristics, physical indicators, laboratory indicators, 3-day diet diary and HP treatment data of the subjects were collected. The patients were divided into different groups according to the presence or absence of HP, the frequency of HP treatment and the type of cartridge, and then relevant indicators were compared. Multivariate logistic regression model and Cox proportional regression model were used to analyze the influence of HP treatment on PEW risk in MHD patients. Meanwhile, Kaplan-Meier method was used to plot the survival curve. Results: A total of 4 623 MHD patients (2 789 males and 1 834 females) aged (53.7±15.9) years were included in the study, with a median dialysis age of 64.3 (44.3, 92.3) months. There were 3 429 (74.2%) MHD patients treated with HD+HP, and 1 194 patients (25.8%) were not treated with HP. According to the 2008 diagnostic criteria of the International Society for Renal Nutrition and Metabolism (ISRNM), the incidence of PEW was 26.0% (1 204/4 623). Multivariate logistic regression analysis showed that female (OR=2.48, 95%CI: 1.55-3.95, P<0.001), diabetes (OR=1.75, 95%CI: 1.08-2.83, P=0.024) and high-sensitivity C-reactive protein (hs-CRP) (OR=1.02, 95%CI: 1.01-1.03, P=0.003) were risk factors for PEW, while treatment with HD+HP (OR=0.51, 95%CI: 0.31-0.87, P=0.012) and elevated triglyceride levels (OR=0.62, 95%CI: 0.48-0.80, P<0.001) were protective factors. Cox hazard ratio regression showed that among different HP treatment frequencies and cartridge types, 2 times/month (HR=0.40, 95%CI: 0.17-0.95, P=0.037), 3 times/month (HR=0.44, 95%CI: 0.23-0.85, P=0.014), 4 times/month (HR=0.54, 95%CI: 0.34-0.85, P=0.008), HA130 (HR=0.57, 95%CI: 0.36-0.89, P=0.014) and HA230 (HR=0.30, 95%CI: 0.15-0.63, P=0.001) had protective effects on the occurrence of PEW in MHD patients. The all-cause mortality rate was 11.3% (521/4 623) at 33 (24, 48) months of follow-up. Kaplan-Meier analysis showed that patients undergoing 4 times/month HP treatment (χ2=36.78, P<0.001) and using HA230 (χ2=9.46, P=0.002) had the highest survival rate. Conclusion: Treatment with HD+HP is a protective factor for PEW in patients with MHD, and 4 times/month HP treatment or HA230 significantly reduces the risk of PEW and all-cause mortality in patients with MHD.

Development of a protein energy malnutrition screening tool for older Thais in public residential homes.

OBJECTIVE: This study aimed to develop and validate protein energy malnutrition (PEM) screening tool for older adults in public residential homes, and to test its practicality. DESIGN: This cross-sectional study consisted of two phases: tool development/validation and tool practicality evaluation. In Phase 1, the questionnaire was developed based on literature review and tested for content validity. Older residents were interviewed using this questionnaire to identify potential PEM risk factors. A 24-h recall was used to collect dietary data, and body composition and serum albumin were measured. In Phase 2, practicality of new PEM screening tool was evaluated by intended users. Data were analysed by χ2 test, Fisher's exact test, t-test, Mann-Whitney U test and multiple logistic regression. Akaike Information Criterion (AIC) was used to estimate the best fit model. SETTING: Four public residential homes in central region, Thailand. PARTICIPANTS: 249 older residents residing in public residential homes and eight intended users. RESULTS: 26·9 % had PEM (serum albumin <3·5 g/dl). According to multiple logistic regression and AIC values, PEM predictors were having pressure ulcer, experiencing significant weight loss and taking ≥ 9 types of medicine daily. These predictors were included in PEM screening tool. Regarding the tool performance test, area under the ROC curve was 0·8 (P < 0·001) with sensitivity and specificity of 83·9 and 45·5 %, respectively. For its practicality, eight intended users reported that it was useful and easy to use. CONCLUSIONS: New screening tool may be capable of identifying PEM in older residents, and further testing is required before being recommended for use.

Evolution of body composition and wasting indicators by time of day of haemodialysis.

BACKGROUND: It has been a long-standing clinical concern that haemodialysis (HD) patients on afternoon shifts (ASs) are more prone to protein-energy wasting (PEW) than those on morning shifts (MSs), as their dialysis scheme and post-dialysis symptoms may interfere with meal intake. We evaluated the effect of time of day of HD on the evolution of body composition changes and PEW surrogates. METHODS: We conducted a retrospective study among 9.963 incident HD patients treated in NephroCare centres (2011-16); data were routinely collected in the European Clinical Database. The course of multi-frequency bioimpedance determined lean and fat tissue indices (LTI and FTI) between patients in MSs/ASs over 2 years were compared with linear mixed models. Secondary PEW indicators were body mass index, albumin, creatinine index and normalized protein catabolic rate. Models included fixed (age, sex, vascular access and diabetes mellitus) and random effects (country and patient). RESULTS: Mean baseline LTI and FTI were comparable between MSs (LTI: 12.5 ± 2.9 kg/m2 and FTI: 13.7 ± 6.0 kg/m2) and ASs (LTI: 12.4 ± 2.9 kg/m2 and FTI: 13.2 ± 6.1 kg/m2). During follow-up, LTI decreased and FTI increased similarly, with a mean absolute change (baseline to 24 months) of -0.3 kg/m2 for LTI and +1.0 kg/m2 for FTI. The course of these malnutrition indicators did not differ between dialysis shifts (P for interaction ≥0.10). We also did not observe differences between groups for secondary PEW indicators. CONCLUSIONS: This study suggests that a dialysis shift in the morning or in the afternoon does not impact the long-term nutritional status of HD patients. Regardless of time of day of HD, patients progressively lose muscle mass and increase body fat.

Assessment of nutritional status in maintenance hemodialysis patients: A multicenter cross-sectional study in Iran.

INTRODUCTION: Protein-energy wasting (PEW) is common in hemodialysis patients and is linked with a high rate of morbidity and mortality. Regarding importance of nutrition in these patients, a recent study was administered to evaluate the nutritional status of hemodialysis patients. MATERIALS: In this cross-sectional study 540 HD patients from 15 dialysis centers were evaluated. The nutritional status of the patients was determined by Subjective Global Assessment (SGA), Dialysis Malnutrition Score (DMS), and Malnutrition Inflammation Score (MIS). Their dietary intakes were assessed using a Food Frequency Questionnaire (FFQ). RESULT: Based on DMS, 66.7% of HD patients were well nourished and the prevalence of mild-to-moderate and severe PEW were 32.4% and 0.9% in HD patients, respectively. Based on MIS, 65.2% of HD patients were well nourished and the prevalence of mild-to-moderate and severe PEW was 34.0%. The prevalence of mild-to-moderate and severe malnutrition based on SGA was 35.0% and 1.1%, respectively. Energy and protein intake in 85.6% and 80.6% of patients respectively were less than the minimum recommended amount. CONCLUSION: HD patients are at risk of malnutrition and in this regard training the patient, periodic assessment of nutritional status, and referring them to a dietitian seems necessary.

Protein Energy Wasting in Children With Chronic Kidney Disease and End-Stage Kidney Disease: An Observational Study.

OBJECTIVES: Protein energy wasting (PEW), a specific nutritional comorbidity associated with increased mortality, is underrecognized in children with chronic kidney disease (CKD). The aim of this study was to determine the burden and factors associated with PEW and assess the utility of parameters used to diagnose PEW in children with CKD and End stage kidney disease (ESKD). METHODS: Children between 2 and 18 years of age with CKD stages 2-5 were recruited over 30 months. Parameters of PEW assessed included body mass index for height, mid-upper arm circumference, height for age, appetite, serum albumin, cholesterol, transferrin, and C-reactive protein. Based on number of criteria fulfilled in each subject, PEW was further stratified as mild, standard, and modified PEW. RESULTS: One hundred twenty-three children (male:female 3:1, 73 in CKD stages 2-4, 50 with ESKD) were recruited. PEW was observed in 58% (47% in CKD stages 2-4 vs. 73% ESKD, P = .035). Longer duration and severity of disease was associated PEW. Reduced appetite (P = .001, P = .04), low mid-upper arm circumference (P = .000, P = .006), and low body mass index for height (P = .000, P = .007) were useful criteria to diagnose PEW in CKD stages 2-4 and ESKD, while most children did not meet biochemical criteria. Inflammation observed in 47% was higher in those with ESKD [CKD stages 2-4: 72 (39%) vs. ESKD: 29 (59%), P = .02] but was associated with PEW only in CKD stages 2-4. CONCLUSION: PEW was highly prevalent in children with CKD and ESKD. Appetite and anthropometry measures were more useful than biochemical criteria for diagnosis of PEW. Whereas inflammation was common, it was associated with PEW only in CKD stages 2-4. Pediatric CKD and ESKD may need exclusive diagnostic criteria for PEW based on anthropometry, appetite, and inflammation.

Malnutrition and Perioperative Nutritional Support in Retroperitoneal Sarcoma Patients: Results from a Prospective Study.

INTRODUCTION: Retroperitoneal soft tissue sarcomas (RPSs) are mesenchymal neoplasms. The prevalence of protein energetic malnutrition (PEM) and its impact in RPS patients who were candidates for surgery is unknown. MATERIALS AND METHODS: A prospective feasibility study enrolled 35 patients with primary RPS who were candidates for extended multivisceral resection. PEM was screened at enrollment. Preoperative high protein ß-hydroxy-ß-methyl butyrate oral nutritional support (ONS) was provided according to the degree of PEM. After surgery, nutritional support followed standard practice, targeting at least 1 g/kg/day protein and 20 kcal/kg/day caloric intake within the third postoperative day (POD). PEM was re-evaluated before surgery on POD 10, and at 4 and 12 months after surgery. Primary outcomes were the patient's compliance to preoperative ONS and the physician's compliance to postoperative nutritional targets. RESULTS: PEM was documented in 46% of patients at baseline; ONS met a 91% adherence (overall well tolerated). After ONS, PEM reduced to 38% (p = 0.45). The postoperative caloric target was reached on day 4.1 (standard error ± 2.7), with a protocol adherence rate of 52%. On POD 10, 91% of patients experienced PEM, the worsening of which was greater after resection of four or more organs (p = 0.06). At 4 and 12 months after surgery, almost all patients had fully recovered. A significant correlation between PEM at surgery and postoperative complications was found (p = 0.04). CONCLUSIONS: Relevant PEM prevalence in RPS is documented for the first time. PEM correlates with greater morbidity. In this setting, preoperative ONS was feasible and well-tolerated. Disease-related factors for PEM and the ideal perioperative caloric target in the context of extended multivisceral resection need to be further investigated. Nutritional support should be included in enhanced recovery after surgery programs for RPS. TRIAL REGISTRY: ClinicalTrials.gov identifier: NCT03877588.

Bioelectrical impedance analysis-derived phase angle as a determinant of protein-energy wasting and frailty in maintenance hemodialysis patients: retrospective cohort study.

BACKGROUND: Phase angle (PA), measured by bioelectrical impedance analysis (BIA) has been studied as indicator of nutritional status or muscle function in hemodialysis (HD) patients. It remains unclear if the phase angle is associated protein-energy wasting (PEW) or frailty, which are common complication in hemodialysis patients. The aim of this study is to determine whether BIA-derived PA is a marker of PEW or frailty in HD patients. METHODS: This retrospective observational study included 116 adult HD patients (35% female, 64 ± 12 years of age) in a single dialysis center. Patients were classified according to the PA quartiles into four groups; 1) first quartile: PA < 3.7°, 2) second quartile: PA 3.7-4.1°, 3) third quartile: PA 4.2-4.9°and 4) forth quartile: PA ≥ 5.0°. International Society of Renal Nutrition and Metabolism (ISRNM) criteria and Japanese version of Cardiovascular Health Study (J-CHS) criteria were used to identify PEW and frailty. RESULTS: The lower PA group was associated with a greater risk of PEW (35% vs. 24% vs. 21% vs. 3%; p = 0.032), frailty (59% vs. 40% vs. 21% vs. 3%; p < 0.001). In multivariate logistic regression analysis, the first quartile group was at a significantly greater risk of both PEW and frailty compared with the fourth quartile group after adjusting for other confounding factors. CONCLUSIONS: Lower PA was associated with a greater risk of PEW and frailty in HD patients.

Screening Community-Living Older Adults for Protein Energy Malnutrition and Frailty: Update and Next Steps.

Protein-energy malnutrition (PEM)/undernutrition and frailty are prevalent, overlapping conditions impacting on functional and health outcomes of older adults, but are frequently unidentified and untreated in community settings in the United States. Using the World Health Organization criteria for effective screening programs, we reviewed validity, reliability, and feasibility of data-driven screening tools for identifying PEM and frailty risk among community-dwelling older adults. The SCREEN II is recommended for PEM screening and the FRAIL scale is recommended as the most promising frailty screening tool, based on test characteristics, cost, and ease of use, but more research on both tools is needed, particularly on predictive validity of favorable outcomes after nutritional/physical activity interventions. The Malnutrition Screening Tool (MST) has been recommended by one expert group as a screening tool for all adults, regardless of age/care setting. However, it has not been tested in US community settings, likely yields large numbers of false positives (particularly in community settings), and its predictive validity of favorable outcomes after nutritional interventions is unknown. Community subgroups at highest priority for screening are those at increased risk due to prior illness, certain demographics and/or domiciliary characteristics, and those with BMI < 20 kg/m2 or < 22 if > 70 years or recent unintentional weight loss > 10% (who are likely already malnourished). Community-based health professionals can better support healthy aging by increasing their awareness/use of PEM and frailty screening tools, prioritizing high-risk populations for systematic screening, following screening with more definitive diagnoses and appropriate interventions, and re-evaluating and revising screening protocols and measures as more data become available.

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.

Relationship between protein-energy wasting in adults with chronic hemodialysis and the response to treatment with erythropoietin.

BACKGROUND: It is known that one of the leading causes of morbidity in chronic kidney disease (CKD) is the anemic syndrome. Although the pathogenic mechanisms of anemia are multiple, erythropoietin deficiency appears as the dominant factor. Patients in hemodialysis (HD) have a high prevalence of protein energy wasting (PEW) that may explains the poor response to Erythropoietin (EPO). METHODS: Retrospective cohort study of patients on HD from January to December 2014. The participants were classified according to a diagnostic of PEW using the "Malnutrition Inflammation Score" (MIS) and bioimpedance analysis (BIA) measurement of body composition at the start of erythropoietin therapy and after 3 months of follow up. We performed descriptive statistics and analyzed the differences between groups with and without PEW considering their responsiveness. In addition, we calculated the relative risk of EPO resistance, considering p value < 0.05 as statistically significant. RESULTS: Sixty-one patients ended the follow up. Both groups were similar in basal hemoglobin, hematocrit and other hematopoiesis markers (p = NS). Patients without PEW have a decrease risk for poor response to treatment with EPO (RR = 0.562 [95% CI, 0.329-0.961-]) than those with PEW. Finally, hemoglobin concentrations were evaluated at baseline and every four weeks until week 12, finding a statistically significant improvement only in patients without PEW according MIS (p < 0.05). CONCLUSIONS: PEW is an incremental predictor of poor responsiveness to EPO in HD patients, thus, it is important to consider correcting malnutrition or wasting for a favorable response to treatment with EPO.

Bioelectrical Impedance Analysis-Derived Phase Angle Predicts Protein-Energy Wasting in Maintenance Hemodialysis Patients.

OBJECTIVE(S): To explore the validity of using bioelectrical impedance analysis (BIA)-derived 50 kHz phase angle (PhA) in predicting protein-energy wasting (PEW) in Chinese maintenance hemodialysis (MHD) patients. DESIGN AND METHODS: The design was a cross-sectional study. A total of 173 of MHD patients and 173 healthy adults were enrolled in the study. The prevalence of PEW in patients was performed by the International Society of Renal Nutrition and Metabolism criteria. The PhA, body cell mass, fat mass, body fat percentage, fat-free mass, and extracellular water/total body water were measured by InBody S10 body composition analyzer. The biochemical indices and anthropometric measurements were assessed using the way published elsewhere. The PhA, other values of BIA and its relationship with age, visceral protein, anthropometric measurements of the MHD patients were compared with the healthy group. The independent variables for predicting PEW and its cutoff values were explored using logistic regression model and receiver operating characteristic curve analysis, respectively. RESULTS: The MHD patients' PhA value was significantly lower than the healthy group (4.89°± 1.19 vs. 6.32°± 2.23, P < .01). A total of 34.1% MHD patients with PEW had significantly lower PhA values compared with well-nourished patients (P < .05). The PhA decreased more significantly with age in MHD (r = -0.35, P < .001), compared with controls (r = -0.26, P < .001). The PhA values were positively associated with nutritional indices related to serum albumin, prealbumin, fat-free mass, and mid-arm muscle circumference. PhA values were not associated significantly with fat mass and body fat percentage (P > .05). Multivariate logistic regression analysis showed that PhA and body mass index were independent predictors of PEW, but the PhA was the stronger predictor (odds ratio = 4.48, P < .05). Receiver operating characteristic curve analysis suggested that the optimal PhA cutoff value to predict PEW was 4.6°. CONCLUSIONS: BIA-derived PhA appears to be a useful bioelectrical marker for predicting PEW in Chinese hemodialysis patients with a cutoff value of 4.6°.

Treatment of malnutrition decreases complication rates and shortens the length of hospital stays in a radiation oncology department.

PURPOSE: The nutritional status of inpatients influences the therapeutic outcome. Malnutrition is a common comorbidity in oncological patients. Both radio- and radiochemotherapy may contribute to the additional deterioration of the nutritional status. The aim of this study was to evaluate the impact of specialized treatment of malnutrition as a clinical routine. METHODS: The nutritional status of inpatients was assessed by the Nutritional risk screening (NRS-2002) on the day of admission to the University Department of Radiation Oncology. In case of significantly elevated NRS-2002 (NRS ≥ 3), a guideline-compliant, individual nutritional treatment was initiated by a specialized nutrition support team. The influence of the nutritional status and nutritional treatment on length of stay and complication rate was assessed. RESULTS: Of 840 included patients, 344 patients (40.95%) were at risk for malnutrition. Malnutrition was a significant, independent risk factor for both prolonged hospital stay, represented by the deviation between the actual length of stay and the DRG-associated mean length of stay (dLOS at risk: 0.88 days, dLOS not at risk: -0.88 days, p = 0.0047), as well as for the occurrence of complications (OR: 1.758 CI: [1.286-2.402], p = 0.0006). In the group of 337 (40.12%) rehospitalized patients the nutritional management was able to assimilate the values of length of stay as well as the complication rates to standard values. CONCLUSIONS: The high risk for malnutrition and the negative consequences for patients and hospitals underline the urgent need for malnutrition screening on admission and treatment of malnutrition. A specialized, interdisciplinary nutrition support team positively influences patient outcome and should be established routinely in all oncological disciplines.

Nomogram and Validity of a Model for Predicting Malnutrition in Patients on Liver Transplant Lists.

BACKGROUND: Malnutrition is associated with increased morbimortality in liver transplant patients, and it is important to identify factors related to nutritional status in these patients. AIMS: Determine variables associated with malnutrition and create a nomogram in liver transplant candidates. METHODS: Cross-sectional study (n = 110). VARIABLES: demographic variables, imbalances due to the disease, transplant aetiology and analytical parameters. Physical examination was performed and degree of hepatic dysfunction calculated. Nutritional status was assessed: Controlling Nutritional Status, Spanish Society of Parenteral and Enteral Nutrition criteria, Nutritional Risk Index, Prognostic Nutritional Index or Onodera Index and The Subjective Global Assessment. Logistic regression analysis was performed. A predictive nomogram (discrimination and calibration analysis) was generated. RESULTS: Malnourishment was defined according to at least 4 or more of the methods studied. Patients with ascites, encephalopathy and portal hypertension presented malnourishment more frequently. Malnutrition was associated with greater liver dysfunction and lower grip strength. Variables independently associated with malnourishment were encephalopathy and lower albumin values. A nomogram was created to predict malnourishment, with good discriminatory power and calibration. CONCLUSIONS: A score was developed for evaluating malnutrition risk. This would provide a tool that makes it possible to quickly and easily identify the risk of malnutrition in liver transplant candidates.

The validity of mid-upper arm circumference as an indicator of low BMI in population screening for undernutrition: a study among adult slum dwellers in eastern India.

OBJECTIVE: To explore the possibility for a statistically appropriate value of mid-upper arm circumference (MUAC) to identify the state of severe undernutrition, based on very low BMI, among adult Indian slum dwellers. DESIGN: Cross-sectional study on adults. Height and MUAC were recorded and BMI was computed. Chronic energy deficiency (CED) was determined using the WHO international guidelines as BMI<18·5 kg/m2 and normal as BMI≥18·5 kg/m2. Besides calculating mean, sd and 25th, 50th and 75th percentile values, multiple linear regression analysis was undertaken to assess the associations between age, MUAC and BMI. Receiver-operating characteristic curve analysis was performed to determine the best MUAC cut-off to identify CED status. The χ 2 test was used to assess significance of the difference in CED prevalence across MUAC categories. SETTING: An urban slum in Midnapore town, West Bengal State, India. SUBJECTS: Male (n 467) and female (n 488) Indian slum dwellers. RESULTS: MUAC of 22·7 and 21·9 cm, respectively, in males and females were the best cut-off points to differentiate CED from non-CED. CONCLUSIONS: Results supported the validity of the WHO-recommended MUAC cut-offs for adults. There is still a need to establish statistically appropriate MUAC cut-offs to predict undernutrition and morbidity.

Prevalence and associated factors of protein- energy wasting among patients with chronic kidney disease at Mulago hospital, Kampala-Uganda: a cross-sectional study.

BACKGROUND: Chronic kidney disease (CKD) is global health concern and priority. It is the 12th leading cause of death worldwide. Protein Energy Wasting occurs in 20-25% of patients with chronic kidney disease and can lead to a high morbidity and mortality rate. We determined the prevalence of protein energy wasting and factors associated among patients with chronic kidney disease at Mulago National Referral Hospital, Kampala, Uganda. METHODS: We conducted a cross-sectional study recruiting 182 (89 non-CKD patients and 93 CKD patients) consecutively from the outpatient clinic and wards on New Mulago Hospital complex. We took anthropometric measurements including heights, weights, Triceps skin fold (TSF), Mid- Upper Arm circumference (MUAC), Body Mass Index (BMI) and Mid-arm muscle circumference (MAMC). Serum albumin levels and lipid profile levels were also obtained. Following consent of study participants, Data was collected using questionnaires and analyzed using STATA 14.1. Percentages, frequencies, means, medians, standard deviation and interquartile range were used to summarise data. Crude and adjusted binary logistic regression was performed to assess unadjusted and adjusted effect measures of protein energy wasting due to several factors. Stratification by CKD status was performed during the analysis to minimize confounding. RESULTS: The median age for CKD patients was 39 years compared to 27 years for non-CKD participants (p < 0.001). The prevalence of protein energy wasting (PEW) was 68.6% in this study with 47.3 and 21.3% among CKD and non-CKD participants respectively. Factors which were associated with PEW included CKD age between 18 and 24, being single, catholic religion, CKD stage 4, Hb < 11.5 g/dl and LDL > 160 mg/dl. CONCLUSION: Protein energy Wasting is prevalent among patients with chronic kidney disease and clinicians should routinely screen for it during patient care.