scholarly journals Body Composition of Chronic Kidney Disease Patients

2021 ◽  
Vol 5 (1) ◽  
pp. 54-58
Author(s):  
Anjani Bakshi ◽  
Kalyani Singh ◽  
Anupa Siddhu

With accelerated muscle proteolysis, a decrease in muscle mass is evident in chronic kidney disease (CKD) patients. This eventually leads to nutritional disturbance that for a long has been mostly attributed to malnutrition. This predisposes patients to premature morbidity and mortality. Assessing body composition, thus, becomes vital. In this cross-sectional study, CKD patients (n = 47) of stages 2, 3a, 3b and 4 were assessed for their lean tissue mass, adipose tissue mass and overhydration by body composition monitor. Lean tissue index and fat tissue index were calculated as lean tissue mass and adipose tissue mass in kilogram divided by patients’ height in square meters. Patients were assessed for their handgrip strength (HGS) by Jamar hydraulic hand dynamometer, and also for their 7-day diet history. Mean lean tissue index of CKD patients was 11.73 ± 2.49 kg/m2. About 34 (72.3%) out of 47 patients were below the reference value of lean tissue index. A significant difference in lean tissue index (P = 0.03) was observed at various stages. Patients at stage 4 had the lowest lean tissue index. Lean tissue was significantly (P = 0.03) low in patients consuming protein <0.6 gm/kg/day. All 47 patients had less than normal HGS values. Patients’ mean fat tissue index was 14.86 ± 6.18 kg/m2 and had water retention with a mean overhydration of 1.47 ± 2.12 L. CKD patients were malnourished with a significant low lean tissue index. Dietary protein intake and HGS of these patients were positively associated with lean tissue index.

2017 ◽  
Vol 10 (2) ◽  
pp. 170-175 ◽  
Author(s):  
Almudena Vega ◽  
Soraya Abad ◽  
Nicolás Macías ◽  
Inés Aragoncillo ◽  
Alba Santos ◽  
...  

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Trisha Sachan ◽  
Anita Saxena ◽  
Amit Gupta

Abstract Background and Aims Changes in dietary phosphorus regulate serum FGF-23, parathyroid hormone, 1,25(OH)(2)D and Klotho concentrations . Cardiovascular disease (CVD) is the principal killer of patients with chronic kidney disease and hyperphosphetemia is a potent risk factor it. Of many causative factors for CVD in CKD, dietary interventions involving restriction of dietary phosphorous intake can help reduce onset of CVD at early stages of CKD with other corrective measures. Muscle wasting is a consequence of uremic syndrome which alters body composition. The aim of the study was to study effect of dietary phosphorous restriction on FGF-23, iPTH, Klotho, 1,25(OH)(2)D and body composition in chronic kidney disease patients. Method This is a longitudinal study with 12 months intervention, approved by Ethics Committee of the institute. A total 132 subjects were recruited (66 healthy controls, 66 CKD patient. of 66 patients 33 were in CKD stage 1 and 33 in stage 2. GFR was calculated with the help of MDRD formula. Biochemical parameters of subjects were evaluated at baseline, 6 and 12 months along with the anthropometric measurements (body weight, height, mid upper arm circumference (MUAC), and skin folds). Three days dietary recall was taken to evaluate energy, protein and phosphorous intake. CKD patients whose dietary phosphorous intake was more than 1000 mg/day, were given intense dietary counseling and prescribed dietary modifications by restricting dietary phosphorous between 800-1000 mg/day. Results The mean age of controls and patients was 37.01±9.62 and 38.27±12.06 and eGFR of 136.94±11.77 and 83.69±17.37 respectively. One way ANOVA showed significant difference among controls and the study groups in hemoglobin (p&lt;0.001), s albumin (p&lt;0.001), FGF-23 (p&lt;0.001), klotho (p&lt;0.001), urinary protein (p&lt;0.001) and Nephron Index (p&lt;0.001).The mean energy intake (p = 0.001) and dietary phosphorous intake (p&lt;0.001) of the CKD patients decreased significantly with the decline in the renal function along with the anthropometric measures i.e. BMI (p = 0.041),WHR (p = 0.015) and all four skin folds (p&lt;0.001). On applying Pearson’s correlation, eGFR correlated negatively with urinary protein (-0.739, 0.000), FGF-23 (-0.679, 0.000) and serum phosphorous (-0.697, 0.000) and positively with klotho (0.872, 0.000). FGF-23 correlated negatively with klotho (-0.742, 0.000). Dietary phosphorous was found to be positively correlated with urinary protein (0.496, 0.000), serum phosphorous (0.680, 0.000) and FGF-23 (0.573, 0.000) and negatively with Klotho (-0.602, 0.000). Nephron index revealed a positive correlation with eGFR (0.529, 0.000). Urinary protein correlated negatively with klotho (-0.810, 0.000). A multiple linear regression was run to predict eGFR from anthropometric variables such as BMI, WHR, MUAC, skin folds thickness and handgrip strength. All anthropometric variables predicted decline in eGFR (p&lt;0.05, R2 =0.223). At 6 and 12 months; repeated ANOVAs analysis showed a statistically significant difference in serum creatinine (p=0.000), serum phosphorous (p=0.000), FGF-23(p=0.000) and klotho (p=0.000). Conclusion Elevated levels of FGF-23 and decreased Klotho levels, with the moderate decline in renal function improved with the restricted phosphorous diet at 6 and 12 months emphasizing the importance of phosphorus restriction at an early stage.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Lucia Cordero ◽  
Marta Rivero Martínez ◽  
Paula Jara Caro Espada ◽  
Elena Gutiérrez ◽  
Evangelina Mérida ◽  
...  

Abstract Background and Aims Overhydration (OH) is an independent predictor of mortality on hemodialysis (HD). The gold standard to assess OH is BCM monitor from Fresenius®, however BCM is a hospital hold device limiting its use. New smart scales have emerged as household devices reporting daily body composition data. Objective To determine if Renpho ES-CS20M® could be useful on a 52 HD patient to estimate body composition data. Method 72 body composition assessments (BCA) during mid-week HD session were performed. Each BCA included: (1) Predialysis Renpho measurement, (2) Predialysis BCM monitor measurement, (3) Postdialysis Renpho measurement. To track the fluid balance during the HD session: (1) we recorded ultrafiltration, (2) food or fluid intake was not allowed, and (3) none of the HD patients urinated during the HD session. If any intravenous fluids were needed during the HD session, we subtracted them off from UF. Results Data from 52 HD patients were studied (age 58.8 ± 16.8 years, 56.9 % males, 14.7% diabetics), with a mean pre-HD weight of 70.0 ± 13. 4 Kg, overhydration of 1.7 ± 1.5 L and urea distribution volume of 31.7 ± 5.7 L. The mean ultrafiltration during HD session was -1.8 ± 0.9 L. Renpho estimated a Pre – HD hydration of 34.25 ± 6.02 Kg vs 33.4 ± 5.7 Kg by BCM, showing a good concordance between methods (ICC 0.788 [0.67-0.86], B -0.58, p &lt;0.01). Renpho poorly estimated pre – HD lean tissue mass at 45.4 ± 6.9 Kg compared with 33.8 ± 8.0 Kg by BCM. Although Renpho was able to provide a moderate concordant estimation of fat tissue mass (33.8 ± 8.0 % with Renpho vs 34.7 ± 9.6%), the bias proportion was unacceptable. Post- HD hydration by Renpho was not able to reproduce the ultrafiltracion achieved during the HD session (pre-HD 34.25 ± 6.02 Kg vs post-HD 34.08 ± 6.00 Kg). Conclusion Renpho has a proportional bias estimating predialysis hydration compared with BCM monitor, but is not able to assess changes produced with ultrafiltration or other parameters of body composition (as lean or fat tissue mass). Although smart scales are unacurate to assess body composition on HD patients, they could be useful on the follow up of them changing the accuracy for frequency.


2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Rodolfo Valtuille ◽  
Maria Elisa Casos ◽  
Elmer Andres Fernandez ◽  
Adrian Guinsburg ◽  
Cristina Marelli

The aims of this study were to analyse body composition, to detect the presence of undernutrition, and to establish a relationship between undernutrition and the biological markers routinely used as indicators of nutritional status in hemodialysis (HD) patients (pts). We used a body composition monitor (BCM) that expresses body weight in terms of lean tissue mass (LTM) and fat tissue mass (FTM) independent of hydration status. From nine HD units, 934 pts were included. Undernutrition was defined as having a lean tissue index (LTI = LTM/height2) below the 10th percentile of a reference population. Biochemical markers and parameters delivered by BCM were used to compare low LTI and normal LTI groups. Undernutrition prevalence was 58.8% of the population studied. Low LTI pts were older, were significantly more frequently overhydrated, and had been on HD for a longer period of time than the normal LTI group. FTI (FTI = FTM/ height2) was significantly higher in low LTI pts and increased according to BMI. LTI was not influenced by different BMI levels. Albumin and C-reactive protein correlated inversely (r=-0.28). However neither of them was statistically different when considering undernourished and normal LTI pts. Our BCM study was able to show a high prevalence of undernutrition, as expressed by low LTI. In our study, BMI and other common markers, such as albumin, failed to predict malnutrition as determined by BCM.


Author(s):  
Annelies Van Eyck ◽  
Sofie Eerens ◽  
Dominique Trouet ◽  
Eline Lauwers ◽  
Kristien Wouters ◽  
...  

AbstractThere is an increasing need for suitable tools to evaluate body composition in paediatrics. The Body Composition Monitor (BCM) shows promise as a method, but reference values in children are lacking. Twenty children were included and measured twice by 4 different raters to asses inter- and intra-rater reproducibility of the BCM. Reliability was assessed using the Bland-Altman method and by calculating intraclass correlation coefficients (ICCs). The intra-rater ICCs were high (≥ 0.97) for all parameters measured by BCM as were the inter-rater ICCs for all parameters (≥ 0.98) except for overhydration (0.76). Consequently, a study was set up in which BCM measurements were performed in 2058 healthy children aged 3–18.5 years. The age- and gender-specific percentile values and reference curves for body composition (BMI, waist circumference, fat mass and lean tissue mass) and fluid status (extracellular and intracellular water and total body water) relative to age were produced using the GAMLSS method for growth curves.Conclusion: A high reproducibility of BCM measurements was found for fat mass, lean tissue mass, extracellular water and total body water. Reference values for these BCM parameters were calculated in over 2000 children and adolescents aged 3 to 18 years. What is Known• The 4-compartment model is regarded as the ‘gold standard’ of body composition methods, but is inappropriate for regular follow-up or screening of large groups, because of associated limitations. • Body Composition Monitor® is an inexpensive field method that has the potential to be an adequate monitoring tool.What is New• Good reproducibility of BCM measurements in children provides evidence to use the device in longitudinal follow-up, multicentre and comparative studies.• Paediatric reference values relative to age and sex for the various compartments of the body are provided.


2013 ◽  
Vol 38 (11) ◽  
pp. 1147-1153
Author(s):  
Andrew W. Froehle ◽  
Susan R. Hopkins ◽  
Loki Natarajan ◽  
Margaret J. Schoeninger

Postmenopausal women experience an age-related decline in resting energy expenditure (REE), which is a risk factor for energy imbalance and metabolic disease. Exercise, because of its association with greater lean tissue mass and other factors, has the potential to mediate REE decline, but the relation between exercise and REE in postmenopausal women is not well characterized. This study tests the hypothesis that exercise energy expenditure (EEE) is positively associated with REE and can counter the effects of age and menopause. It involves a cross-sectional sample of 31 healthy postmenopausal women (aged 49–72 years) with habitual exercise volumes at or above levels consistent with current clinical recommendations. Subjects kept exercise diaries for 4 weeks that quantified exercise activity and were measured for body composition, maximal oxygen uptake, and REE. Multiple regression analysis was used to test for associations between EEE, age, body composition, and REE. There was a significant positive relation between EEE and lean tissue mass (fat-free mass and fat-free mass index). The relation between REE and EEE remained significant even after controlling for lean tissue mass. These results support the hypothesis that exercise is positively associated with REE and can counter the negative effects of age and menopause. They also indicate a continuous relation between exercise and REE across ranges of exercise, from moderate to high. Exercise at levels that are at or above current clinical guidelines might, in part, ameliorate the risk for energy imbalance and metabolic disease because of its positive relation with REE.


Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Xiaomin Zhang ◽  
Qibin Qi ◽  
Frank Hu ◽  
Frank Sacks ◽  
Lu Qi

OBJECTIVE The fat mass and obesity-associated gene (FTO) variant has shown the strongest association with obesity. Recent studies suggest that dietary intake may modify the genetic effects of FTO. We tested the effect of FTO variant on long-term weight loss and change in body composition in a 2-year randomized intervention trial. RESEARCH DESIGN AND METHODS FTO SNP rs1558902 was genotyped in 742 overweight or obese adults who were randomly assigned to one of four diets differing in the percentages of energy derived from fat, protein and carbohydrate (20, 15, and 65%; 20, 25, and 55%; 40, 15, and 45%; and 40, 25, and 35%) in the Pounds Lost Trial for 2 years. Body composition and fat distribution were measured in 424 and 195 participants by Dual-energy X-ray absorptiometry (DXA) and computed tomography (CT), respectively. RESULTS We found significant modification effects for diet intervention varying in protein (low vs high), but not in fat, on 2-year changes in total fat, fat free mass (FFM), fat mass% (FM%), trunk fat%, total adipose tissue mass (TAT), visceral adipose tissue mass (VAT) and superficial adipose tissue mass (SAT) (P for interactions=0.045, 0.036, 0.033, 0.048, 0.001, 0.008 and 0.002, respectively). Carriers of the risk allele (A allele) had a greater loss of weight and regional fat in response to high protein diet, while an opposite genetic effect was observed on changes in TAT and SAT in response to low protein diet at 2 years. Significant gene by diet interventions (low vs high protein) were also observed at 6 months of intervention, when the maximum of weight-loss was achieved, for changes in FFM, TAT, VAT and SAT (P for interactions=0.007, 0.019, 0.036 and 0.041, respectively). Patterns of change in body composition and fat distribution by diet intervention were similar at 6 month and 2 year. CONCLUSIONS Our data suggest that a high-protein diet may be beneficial for weight loss in individuals with the risk allele of the FTO variant rs1558902.


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