scholarly journals Correlation Between Body Composition Analysis and Biochemical Nutritional Markers in Maintenance Hemodialysis Patients with Chronic Liver Disease

2020 ◽  
Vol 71 (11) ◽  
pp. 94-100
Author(s):  
Luciana Carmen Nitoi ◽  
Valeriu Ardeleanu ◽  
Anca Pantea Stoian ◽  
Lavinia Alexandra Moroianu
Keyword(s):  
Body Composition ◽  
Liver Disease ◽  
Nutritional Status ◽  
Chronic Liver Disease ◽  
The Body ◽  
Chronic Liver ◽  
Composition Analysis ◽  
Arterial Line ◽  
Body Protein ◽  
Total Body

Several approaches have been used to assess protein-energy wasting syndrome, such as clinical evaluation, biochemical nutritional markers, anthropometric measurements, but Bioelectrical Impedance Analysis (BIA) techniques hold a central place in clinical settings. The aim of this study is to report our clinical experience with BIA and the correlations between biochemical nutritional markers and BIA nutritional parameters in hemodialysis (HD) patients associating or free of chronic liver disease. This cross-sectional observational study included 69 HD patients divided into two groups: 33 with chronic liver disease (CLD+) versus 36 chronic liver disease-free (CLD-) from one HD unit in Romania. Serum albumin (SA), serum creatinine (SCr) and C-reactive protein (CRP) were obtained from the HD arterial line immediately before the HD session and by BIA the body composition including total body water (TBW), total body fat (TBF), lean fat free mass(LFFM), body muscular mass (BMM), malnutrition index and body protein reserve (PR) were assessed. No significant differences between groups were found in BCM, BMM, PR and TBF (p = 0.92, p = 0.60, p = 0.907, and p = 0.634, respectively). Malnutrition index had a significantly higher mean value in HD-CLD(+) patients (p = 0.00). HD-CLD(-) group showed a strong correlation between SA and SCr and BCM, BMM (kg), LFFM (kg) and body PR (kg) (r=.48, r=.50, r=.44, r=.50; resp. r=.42, r=.40, r=.36, r=.42). In HD-CLD(+) patients, a significant positive correlation was found between SA and SCr and LFFM and body PR (r=.37, r=.35; resp. r=.44, r=.35). Discussion: BIA is one of the most accurate techniques for assessing nutritional status and should be regularly used in clinical practice along with biochemical nutritional markers in HD patients. Although the protein metabolism depends to a large extent on liver function, CLD cannot be considered as having a significant impact on nutritional status in HD patients.

Comparing the effects of whey and casein supplementation on nutritional status and immune parameters in patients with chronic liver disease: a randomised double-blind controlled trial

2020 ◽  
pp. 1-12
Author(s):  
Y. G. G. Mizubuti ◽  
E. L. M. Vieira ◽  
T. A. Silva ◽  
M. O. d’Alessandro ◽  
S. V. Generoso ◽  
...  
Keyword(s):  
Body Composition ◽  
Liver Disease ◽  
Nutritional Status ◽  
Chronic Liver Disease ◽  
Neurotrophic Factor ◽  
Protein Intake ◽  
Controlled Trial ◽  
Protein Supplementation ◽  
Chronic Liver ◽  
Immune Parameters

Abstract Protein supplementation may be beneficial for patients with chronic liver disease (CLD). This study compared the effects of whey protein isolate (WP) and casein (CA) supplementation on nutritional status and immune parameters of CLD patients who were randomly assigned to take 20 g of WP or CA twice per d as a supplement for 15 d. Body composition, muscle functionality and plasmatic immunomarkers were assessed before and after supplementation. Patients were also classified according to the model for end-stage liver disease (MELD) into less (MELD < 15) and more (MELD ≥ 15) severe disease groups. Malnutrition, determined by the Subjective Global Assessment at baseline, was observed in 57·4 % and 54·2 % of patients in the WP and CA groups, respectively (P = 0·649). Protein intake was lower at baseline in the WP group than in the CA group (P = 0·035), with no difference after supplementation (P = 0·410). Both the WP and CA MELD < 15 groups increased protein intake after supplementation according to the intragroup analysis. No differences were observed in body composition, muscle functionality, most plasma cytokines (TNF, IL-6, IL-1β and interferon-γ), immunomodulatory proteins (sTNFR1, sTNFR2, brain-derived neurotrophic factor and glial cell line-derived neurotrophic factor) or immunomodulatory hormones (adiponectin, insulin and leptin) after supplementation in the WP groups at the two assessed moments. WP supplementation increased the levels of interferon-γ-induced protein-10/CXCL10 (P = 0·022), eotaxin-1/CCL11 (P = 0·031) and monocyte chemoattractant protein-1/CCL2 (P = 0·018) and decreased IL-5 (P = 0·027), including among those in the MELD ≥ 15 group, for whom IL-10 was also increased (P = 0·008). Thus, WP consumption by patients with CLD impacted the immunomodulatory responses when compared with CA with no impact on nutritional status.

Assessing total body protein, mineral, and bone mineral content from total body water and body density

1995 ◽  
Vol 79 (5) ◽  
pp. 1837-1843 ◽  
Author(s):  
S. F. Siconolfi ◽  
R. J. Gretebeck ◽  
W. W. Wong
Keyword(s):  
Body Composition ◽  
Bone Mineral Content ◽  
Bone Mineral ◽  
Mineral Content ◽  
Body Water ◽  
The Body ◽  
Composition Analysis ◽  
Body Protein ◽  
Total Body ◽  
3C Model

We hypothesized that investigators could assess bone mineral content (BMC), total body mineral (M), and protein (P) from body water (W) and density (DB) based on the theory of W. E. Siri (Advances in Biological and Medical Physics, 1956, p. 239–280 and Techniques for Measuring Body Composition, 1961, p. 223–224) for body composition analysis. Siri used one or more of the body components and the densities of the body, fat (F), W, M, and P to estimate one of the remaining fractional masses. We compared M, BMC, P. F, and fat-free mass (FFM) in 31 subjects (15 women and 16 men) computed from measurements of W and DB with [4-compartment (4C) model] and without [3-compartment (3C) model] BMC (from dual X-ray absorptiometry). 4C model P was calculated by difference (P = FFM - W - M). Mean difference (P > 0.05) ranged from 0.1 to 0.8%. Correlations [+/- standard error of estimate (%)] between 4C and 3C model values were significant (r = 0.907 +/- 8.8, 0.907 +/- 8.7, 0.969 +/- 6.6, 0.998 +/- 2.0, and 0.999 +/- 0.7% for M, BMC, P, F, and FFM, respectively). We concluded that investigators can assess M, BMC, and P from W and DB.

scholarly journals Prediction of the <i>in vivo</i> Body Composition of Pigs Based on Cross- Sectional Region Analysis of Dual Energy X-Ray Absorptiometry (DXA) Scans

2002 ◽  
Vol 45 (6) ◽  
pp. 535-545
Author(s):  
A. D. Mitchell ◽  
A. Scholz ◽  
V. Pursel
Keyword(s):  
Body Composition ◽  
Chemical Analysis ◽  
Body Fat ◽  
The Body ◽  
Cross Sectional ◽  
Body Protein ◽  
Total Body Fat ◽  
Total Body ◽  
Dxa Scans

Abstract. The purpose of this study was to evaluate the use of a cross-sectional scan as an alternative to the total body DXA scan for predicting the body composition of pigs in vivo. A total of 212 pigs (56 to 138 kg live body weight) were scanned by DXA. The DXA scans were analyzed for percentage fat and lean in the total body and in 14 cross-sections (57.6 mm wide): 5 in the front leg/thoracic region, 4 in the abdominal region, and 5 in the back leg region. Regression analysis was used to compare total body and cross-sectional DXA results and chemical analysis of total body fat, protein and water. The relation (R2) between the percentage fat in individual slices and the percentage of total body fat measured by DXA ranged from 0.78 to 0.97 and by chemical analysis from 0.71 to 0.85, respectively. The relation between the percentage of lean in the individual slices and chemical analysis for percentage of total body protein and water ranged from 0.48 to 0.60 and 0.56 to 0.76, respectively. These results indicate that total body composition of the pig can be predicted (accurately) by performing a time-saving single-pass cross-sectional scan.

Nutritional status and quality of life at varying degrees of clinical severity of chronic liver disease

2010 ◽  
Vol 40 (6) ◽  
pp. 581-590 ◽  
Author(s):  
Namita Panagaria ◽  
Kanika Varma ◽  
Sandeep Nijhawan ◽  
R.R. Rai
Keyword(s):  
Quality Of Life ◽  
Liver Disease ◽  
Nutritional Status ◽  
Chronic Liver Disease ◽  
Chronic Liver ◽  
Clinical Severity

scholarly journals ARM VS. WEIGHT AND HEIGHT INDEXES IN THE DIAGNOSIS OF THE NUTRITIONAL STATUS IN CHILDREN AND ADOLESCENTS WITH CHRONIC LIVER DISEASE

2005 ◽  
Vol 41 (4) ◽  
pp. 512
Author(s):  
Erika Hurtado-Lopez ◽  
Alfredo Larrosa-Haro ◽  
Rocio Macias-Rosales ◽  
Enrique Romero-Velarde ◽  
Carmen Bojorquez-Ramos
Keyword(s):  
Liver Disease ◽  
Nutritional Status ◽  
Children And Adolescents ◽  
Chronic Liver Disease ◽  
Chronic Liver

O.81 Body protein synthesis and breakdown in chronic liver disease. The effect of different amino acid solutions

1983 ◽  
Vol 2 ◽  
pp. 43
Author(s):  
P. Dionigi ◽  
J.D. Holdsworth ◽  
M.B. Clague ◽  
O.F.W. James ◽  
P.D. Wright
Keyword(s):  
Protein Synthesis ◽  
Liver Disease ◽  
Amino Acid ◽  
Chronic Liver Disease ◽  
Chronic Liver ◽  
Acid Solutions ◽  
Body Protein ◽  
Amino Acid Solutions
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