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      Advanced wasting in peritoneal dialysis patients

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          Abstract

          AIM

          To identify patients with end-stage renal disease treated by peritoneal dialysis (PD) who had zero body fat (BF) as determined by analysis of body composition using anthropometric formulas estimating body water (V) and to compare nutritional parameters between these patients and PD patients whose BF was above zero.

          METHODS

          Body weight (W) consists of fat-free mass (FFM) and BF. Anthropometric formulas for calculating V allow the calculation of FFM as V/0.73, where 0.73 is the water fraction of FFM at normal hydration. Wasting from loss of BF has adverse survival outcomes in PD. Advanced wasting was defined as zero BF when V/0.73 is equal to or exceeds W. This study, which analyzed 439 PD patients at their first clearance study, used the Watson formulas estimating V to identify patients with V Watson/0.73 ≥ W and compared their nutritional indices with those of PD patients with V Watson/0.73 < W.

          RESULTS

          The study identified at the first clearance study two male patients with V Watson/0.73 ≥ W among 439 patients on PD. Compared to 260 other male patients on PD, the two subjects with advanced wasting had exceptionally low body mass index and serum albumin concentration. The first of the two subjects also had very low values for serum creatinine concentration and total (in urine and spent peritoneal dialysate) creatinine excretion rate while the second subject had an elevated serum creatinine concentration and high creatinine excretion rate due, most probably, to non-compliance with the PD prescription.

          CONCLUSION

          Advanced wasting (zero BF) in PD patients, identified by the anthropometric formulas that estimate V, while rare, is associated with indices of poor somatic and visceral nutrition.

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          Most cited references50

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          Body weight-for-height relationships predict mortality in maintenance hemodialysis patients.

          Protein-energy malnutrition is a strong predictor of mortality in maintenance hemodialysis (MHD) patients. This association has generally been described for serum chemistry measures of protein-energy malnutrition. We hypothesized that body weight-for-height relationships also predict survival in MHD patients. During the last three months of 1993, data were obtained on 12,965 men and women concerning clinical characteristics (height, postdialysis weight, age, gender, race, and presence or absence of diabetes mellitus) and laboratory measurements (predialysis serum albumin, creatinine and cholesterol, and the urea reduction ratio). Patient survival during the next 12 months was evaluated retrospectively. In comparison to values for normal Americans determined from the National Health and Nutrition Evaluation Survey II data, weight-for-height relationships tended to be slightly lower than normal in African American men and women and Caucasian men undergoing MHD and were normal or slightly greater in the taller Caucasian women. In both men and women, the mortality rate decreased progressively as the patients' weight-for-height increased. MHD patients who weighed more than normal had the lowest mortality rates. After adjustment for clinical characteristics and laboratory measurements, the inverse relationship between mortality rates and weight-for-height percentiles was still highly significant for patients within the lower 50th percentile of body weight-for-height. Serum albumin correlated directly with weight-for-height in patients in the lower 50th percentile of weight-for-height. Serum creatinine and cholesterol correlated directly with weight-for-height in the entire population of men and women. In contrast, the urea reduction ratio was inversely correlated with weight-for-height. These data indicate that weight-for-height is a strong predictor of 12-month mortality in male and female MHD patients. Multivariate analyses indicate that body weight-for-height is an independent predictor of higher mortality in those patients who are in the lower 50th percentile for this measurement.
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            Body mass index, dialysis modality, and survival: analysis of the United States Renal Data System Dialysis Morbidity and Mortality Wave II Study.

            The impact of obesity on survival in end-stage renal disease (ESRD) patients as related to dialysis modality (i.e., a direct comparison of hemodialysis with peritoneal dialysis) has not been assessed adjusting for differences in medication use, follow-up > or =2 years, or accounting for changes in dialysis modality. We performed a retrospective cohort study of the United States Renal Data System (USRDS) Dialysis Morbidity and Mortality Wave II Study (DMMS) patients who started dialysis in 1996, and were followed until October 31 2001. Cox regression analysis was used to model adjusted hazard ratios (AHR) for mortality for categories of body mass index (BMI), both as quartiles and as > or =30 kg/m2 vs. lower. Because such a large proportion of peritoneal dialysis patients changed to hemodialysis during the study period (45.5%), a sensitivity analysis was performed calculating survival time both censoring and not censoring on the date of change from peritoneal dialysis to hemodialysis. There were 1675 hemodialysis and 1662 peritoneal dialysis patients. Among hemodialysis patients, 5-year survival for patients with BMI > or =30 kg/m2 was 39.8% vs. 32.3% for lower BMI (P /=30 kg/m2 was 38.7% vs. 40.4% for lower BMI (P > 0.05 by log-rank test). In adjusted analysis, BMI > or = 30 kg/m2 was associated with improved survival in hemodialysis patients (AHR 0.89; 95% CI 0.81, 0.99; P= 0.042) but not peritoneal dialysis patients (AHR = 0.99; 95% CI, 0.86, 1.15; P= 0.89). Results were not different on censoring of change from peritoneal dialysis to hemodialysis. We conclude that any survival advantage associated with obesity among chronic dialysis patients is significantly less likely for peritoneal dialysis patients, compared to hemodialysis patients.
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              Subjective global assessment of nutrition in dialysis patients.

              Malnutrition is a major negative prognostic factor in dialysis patients. Simple and reliable estimations of nutritional status may therefore prove of particular value in the follow-up of these patients. To validate subjective global assessment (SGA) in dialysis patients we compared subjective global assessment with objective measurements (anthropometry, bioelectrical impedance, biochemical measurements) in 59 chronic uraemic patients treated by haemodialysis (n = 36) or CAPD (n = 23). Subjective global assessment was performed by an observer unaware of the results of objective measurements and was related to serum albumin (r = -0.51, P < 0.001) and bioelectric impedance phase angle (r = -0.58, P < 0.001) as well as with MAMC (r = -0.28 P = 0.028), %fat (r = -0.27, P = 0.042) and nPCR (r = -0.29 P = 0.027). Multiple regression analysis showed that the relationship of subjective global assessment (as a dependent variable) with objective measurements (covariates) was stronger (multiple r = 0.77) than the relationship found with univariate analysis. This finding indicates that subjective global assessment gives a well-based and balanced estimation of nutritional status. Our data show that subjective global assessment is a clinically adequate method for assessing nutritional status in dialysis patients. Being an inexpensive method of well-proven reliability, subjective global assessment can be recommended for a more frequent assessment of nutritional status in dialysis patients.
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                Author and article information

                Journal
                World J Nephrol
                WJN
                World Journal of Nephrology
                Baishideng Publishing Group Inc
                2220-6124
                6 May 2017
                6 May 2017
                : 6
                : 3
                : 143-149
                Affiliations
                Zhi Xu, Nephrology Division, Department of Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, United States
                Glen H Murata, Research Service, Raymond G. Murphy Veterans Affairs Medical Center, Albuquerque, NM 87108, United States
                Robert H Glew, Department of Surgery, University of New Mexico School of Medicine, Albuquerque, NM 87131, United States
                Yijuan Sun, Darlene Vigil, Karen S Servilla, Renal Section, Medicine Service, Raymond G. Murphy VA Medical Center, Albuquerque, NM 87108, United States
                Yijuan Sun, Darlene Vigil, Karen S Servilla, Antonios H Tzamaloukas, Department of Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87108, United States
                Antonios H Tzamaloukas, Research Service and Renal Section, Raymond G. Murphy VA Medical Center, Albuquerque, NM 87108, United States
                Author notes

                Author contributions: Xu Z composed the first draft of this report; Murata GH made the statistical analysis and critical changes in the report; Glew RH made critical changes in the report; Sun Y assisted in the collection of data and made critical changes in the report; Vigil D assisted in the collection of data and made critical changes in the report; Servilla KS assisted in the collection of data and made critical changes in the report; Tzamaloukas AH designed the study and assisted in the collection of the data and the writing of the report.

                Correspondence to: Antonios H Tzamaloukas, MD, MACP, Emeritus Professor of Medicine, University of New Mexico School of Medicine, Physician (Raymond G. Murphy VA Medical Center), Renal Section (111C), Raymond G. Murphy VA Medical Center, 1501 San Pedro, SE, Albuquerque, NM 87108, United States. antonios.tzamaloukas@ 123456va.gov

                Telephone: +1-505-2651711-4733 Fax: +1-505-2566441

                Article
                jWJN.v6.i3.pg143
                10.5527/wjn.v6.i3.143
                5424436
                28540204
                897de071-3fa5-4969-bba8-a368c1ba1431
                ©The Author(s) 2017. Published by Baishideng Publishing Group Inc. All rights reserved.

                This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.

                History
                : 8 November 2016
                : 17 February 2017
                : 12 March 2017
                Categories
                Retrospective Study

                weight deficit,fat-free mass,nutrition,body water,anthropometry,peritoneal dialysis,watson formulas,wasting

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