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      Physical inactivity and protein energy wasting play independent roles in muscle weakness in maintenance haemodialysis patients

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          Abstract

          Background

          Muscle weakness is associated with increased mortality risk in chronic haemodialysis (CHD) patients. Protein energy wasting (PEW) and low physical activity could impair muscle quality and contribute to muscle weakness beyond muscle wasting in these patients. Aim of this study was to assess clinical and biological parameters involved in the reduction of muscle strength of CHD patients.

          Methods

          One hundred and twenty-three CHD patients (80 males, 43 females; 68,8 [57.9–78.8] y.o.) were included in this study. Maximal voluntary force (MVF) of quadriceps was assessed using a belt-stabilized hand-held dynamometer. Muscle quality was evaluated by muscle specific torque, defined as the strength per unit of muscle mass. Muscle mass was estimated using lean tissue index (LTI), skeletal muscle mass (SMM) assessed by bioelectrical impedance analysis and creatinine index (CI). Voorrips questionnaire was used to estimate physical activity. Criteria for the diagnosis of PEW were serum albumin, body mass index < 23 kg/m 2, creatinine index < 18.82 mg/kg/d and low dietary protein intake estimated by nPCR < 0.80g/kg/d.

          Results

          MVF was 76.1 [58.2–111.7] N.m. and was associated with CI (β = 5.3 [2.2–8.4], p = 0.001), LTI (β = 2.8 [0.6–5.1], p = 0.013), Voorrips score (β = 17.4 [2.9–31.9], p = 0.02) and serum albumin (β = 1.9 [0.5–3.2], p = 0.006). Only serum albumin (β = 0.09 [0.03–0.15], p = 0.003), Voorrips score (β = 0.8 [0.2–1.5], p = 0.005) and CI (β = 0.2 [0.1–0.3], p<0.001) remained associated with muscle specific torque. Thirty patients have dynapenia defined as impaired MVF with maintained SMM and were younger with high hs-CRP (p = 0.001), PEW criteria (p<0.001) and low Voorrips score (p = 0.001), and reduced dialysis vintage (p<0.046).

          Conclusions

          Beyond atrophy, physical inactivity and PEW conspire to impair muscle strength and specific torque in CHD patients and could be related to muscle quality.

          Trial registration

          ClinicalTrials.gov NCT02806089

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          Most cited references30

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          Estimation of skeletal muscle mass by bioelectrical impedance analysis.

          The purpose of this study was to develop and cross-validate predictive equations for estimating skeletal muscle (SM) mass using bioelectrical impedance analysis (BIA). Whole body SM mass, determined by magnetic resonance imaging, was compared with BIA measurements in a multiethnic sample of 388 men and women, aged 18-86 yr, at two different laboratories. Within each laboratory, equations for predicting SM mass from BIA measurements were derived using the data of the Caucasian subjects. These equations were then applied to the Caucasian subjects from the other laboratory to cross-validate the BIA method. Because the equations cross-validated (i.e., were not different), the data from both laboratories were pooled to generate the final regression equation SM mass (kg) = [(Ht 2 / R x 0.401) + (gender x 3.825) + (age x -0. 071)] + 5.102 where Ht is height in centimeters; R is BIA resistance in ohms; for gender, men = 1 and women = 0; and age is in years. The r(2) and SE of estimate of the regression equation were 0.86 and 2.7 kg (9%), respectively. The Caucasian-derived equation was applicable to Hispanics and African-Americans, but it underestimated SM mass in Asians. These results suggest that the BIA equation provides valid estimates of SM mass in healthy adults varying in age and adiposity.
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            Influence of muscle mass and physical activity on serum and urinary creatinine and serum cystatin C.

            For addressing the influence of muscle mass on serum and urinary creatinine and serum cystatin C, body composition was assessed by skinfold thickness measurement and bioelectrical impedance analyses. A total of 170 healthy individuals (92 women, 78 men) were classified as sedentary or with mild or moderate/intense physical activity. Blood, 24-h urine samples, and 24-h food recall were obtained from all individuals. Serum and urinary creatinine correlated significantly with body weight, but the level of correlation with lean mass was even greater. There was no significant correlation between body weight and lean mass with cystatin C. Individuals with moderate/intense physical activity presented significantly lower mean body mass index (23.1 +/- 2.5 versus 25.7 +/- 3.9 kg/m(2)) and higher lean mass (55.3 +/- 10.0 versus 48.5 +/- 10.4%), serum creatinine (1.04 +/- 0.12 versus 0.95 +/- 0.17 mg/dl), urinary creatinine (1437 +/- 471 versus 1231 +/- 430 mg/24 h), protein intake (1.4 +/- 0.6 versus 1.1 +/- 0.6 g/kg per d), and meat intake (0.7 +/- 0.3 versus 0.5 +/- 0.4 g/kg per d) than the sedentary individuals. Conversely, mean serum cystatin did not differ between these two groups. A multivariate analysis of covariance showed that lean mass was significantly related to serum and urinary creatinine but not with cystatin, even after adjustment for protein/meat intake and physical activity. Cystatin C may represent a more adequate alternative to assess renal function in individuals with higher muscle mass when mild kidney impairment is suspected.
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              Are there two types of malnutrition in chronic renal failure? Evidence for relationships between malnutrition, inflammation and atherosclerosis (MIA syndrome).

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Writing – original draft
                Role: ConceptualizationRole: Methodology
                Role: Data curation
                Role: Data curation
                Role: Data curation
                Role: ConceptualizationRole: Data curation
                Role: ConceptualizationRole: Data curation
                Role: Data curation
                Role: Data curation
                Role: Data curation
                Role: Data curation
                Role: ConceptualizationRole: Data curation
                Role: ConceptualizationRole: Data curationRole: ValidationRole: Writing – review & editing
                Role: SupervisionRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                1 August 2018
                2018
                : 13
                : 8
                : e0200061
                Affiliations
                [1 ] PhyMedExp, INSERM, CNRS, Univ Montpellier, Département de Biochimie et Hormonologie, CHU Montpellier, Montpellier, France
                [2 ] Département de Néphrologie, CHU Montpellier, Univ Montpellier, Montpellier, France
                [3 ] Département de Biochimie et Hormonologie, CHU Montpellier, Univ Montpellier, Montpellier, France
                [4 ] AIDER, Montpellier, France
                [5 ] PhyMedExp, INSERM, CNRS, Univ Montpellier, Département de Physiologie, CHU Montpellier, Montpellier, France
                Universidade Estadual Paulista Julio de Mesquita Filho, BRAZIL
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-1108-599X
                Article
                PONE-D-17-42961
                10.1371/journal.pone.0200061
                6070183
                30067754
                be6decf2-e095-4341-ba47-ebf7da0cf50f
                © 2018 Souweine et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 27 December 2017
                : 12 June 2018
                Page count
                Figures: 4, Tables: 4, Pages: 15
                Funding
                Funded by: Société de Néphrologie (FR)
                Award Recipient :
                Jean-Sebastien Souweine was supported by a grant of the French Society of Nephrology.
                Categories
                Research Article
                Medicine and Health Sciences
                Nephrology
                Medical Dialysis
                Biology and Life Sciences
                Biochemistry
                Proteins
                Muscle Proteins
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Muscles
                Skeletal Muscles
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Muscles
                Skeletal Muscles
                Biology and Life Sciences
                Biochemistry
                Proteins
                Albumins
                Serum Albumin
                Medicine and Health Sciences
                Public and Occupational Health
                Physical Activity
                Physical Sciences
                Physics
                Classical Mechanics
                Motion
                Torque
                Biology and Life Sciences
                Biochemistry
                Biomarkers
                Creatinine
                Biology and Life Sciences
                Biochemistry
                Proteins
                Serum Proteins
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

                Uncategorized
                Uncategorized

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