scholarly journals AB0267 BODY COMPOSITION IN PATIENTS WITH RHEUMATOID ARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1432.2-1432
Author(s):  
N. Toroptsova ◽  
O. Dobrovolskaya ◽  
N. Demin ◽  
L. Shornikova

Background:Rheumatoid arthritis (RA) is a complex inflammatory disease that modifies body composition. Using the dual-energy x-ray absorptiometry (DXA) in RA patients could be a method for body composition changes detection.Objectives:To study the body composition using DXA in patients with RA.Methods:The study involved 79 women with RA, median age 60 [55; 65] years. The bone mineral density (BMD) was measured by dual-energy x-ray absorptiometry using «Discovery A» (Hologic, USA). Assessment of body composition was carried out, using the program «Whole body». Sarcopenia (SP) was diagnosed as a decrease in appendicular mass index (AMI) <6.0 kg/m2. Osteoporosis (OP) was diagnosed as a decrease in T-score <-2.5 SD. Osteosarcopenia was determined when T-score was <-1.0 SD, AMI was <6.0 kg/m2, osteosarcopenic obesity - T-score was <-1.0 SD, AMI was <6.0 kg/m2and total fat was >35%.Results:The mean duration of RA was 9 [3; 11] years. The mean body mass index (BMI) was 27.6±4.8 kg/m2. Disease activity score in 28 joints-erythrocyte sedimentation rate was 4.5±1.3 points for the group. 39 (49.3%) patients used oral glucocorticoids continuously. Appendicular muscle mass and AMI were on average 17.8±3.0 kg and 6.8±1.0 kg/m2, respectively. AMI <6 kg/m2was detected in 20 (25.3%) patients. 56 (70.9%) women with RA had total fat > 35%, while only 22 (27.8%) of women with RA had obesity according to BMI (BMI >30 kg/m2). Isolated OP was found in 13 (16.5%), osteosarcopenia in 7 (8.9%) and osteosarcopenic obesity in 13 (16.5%) patients RA. No cases with isolated sarcopenia or sarcopenic obesity were detected. Only 3 (3.8%) patients did not have appendicular muscle mass, AMI and BMD decrease and overfat or obesity.Conclusion:About 97% women with RA had abnormal body composition phenotype: 16,5% - OP, 8.9% -osteosarcopenia, 16,5% - osteosarcopenic obesity and 54,4% - overfat.Disclosure of Interests:None declared

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1114.1-1114
Author(s):  
A. Feklistov ◽  
N. Toroptsova ◽  
O. Nikitinskaya ◽  
A. Efremova ◽  
N. Demin

Background:Inflammation, decreased physical activity, hormonal disorders, and the use of glucocorticoids lead to changes in the composition of the body in rheumatoid arthritis (RA). Various combinations of decreased muscle and bone mass and increased adipose tissue have led to the release of various pathological phenotypes of the composition of the body.Objectives:To determine the frequency of pathological phenotypes of body composition in patients with RA.Methods:The study included 79 women with RA, with a median age of 60 y.o. [55; 65]. 92% of the women were postmenopausal. The median duration of the disease was 9 years [3; 11]. Basic anti-inflammatory therapy was received by 81% of patients. Methotrexate was used most often as the basic therapy – in 52% of cases. 49% of patients were treated with glucocorticoid drugs. All patients underwent dual-energy X-ray absorptiometry. The mineral density of the tissues was determined in the standard measurement areas - the spine and the proximal thigh, and the content of muscle and adipose tissue was analyzed. We calculated appendicular muscle mass (AMM), which is the sum of upper and lower limb muscle mass and appendicular muscle index (AMI), the ratio of appendicular muscle mass to the square of height. AMM< 15 kg, AMI < 6 kg / m2 corresponds to sarcopenia.Results:The average AMM was 17.8±3.0 kg. 18% patients had AMM <15 kg / m2. The average AMI was 6.8±1.0 kg / m2. 25% patients had AMI < 6 kg/m2. The average body mass index (BMI) was 27.6±4.8 kg/m2. 37% patients were overweight (25≤ BMI <29.9 kg/m2), 28% of women had a BMI corresponding to obesity. The average fat content was 28.2 kg. 71% of women had an obesity, according to X-ray absorptiometry, which is 2.5 times higher than the number of cases of obesity detected by BMI. A decrease a bone mineral density (BMD) was found in 73% of women, including osteoporosis in 25%. The most frequent phenotype was osteopenic obesity (Table 1), which was detected in almost 40% of patients. Isolated osteoporosis (16.5%) and obesity (17.7%) and osteosarcopenic obesity (16.5%) were found with approximately the same frequency. Osteosarcopenia was found in 9% of patients. In 4%, no changes in the compositional composition of the human body were detected.Table 1.Pathological phenotypes of body compositionPathological phenotypes of body compositionn=79Osteoporosis, n (%)13 (16,5)Obesity, n (%)14 (17,7)Osteosarcopenia, n (%)7 (8,9)Osteopenic obesity, n (%)29 (36,7)Osteosarcopenic obesity, n (%)13 (16,5)Conclusion:The overall frequency of pathological phenotypes of body composition was high and amounted to 96.2% in women with RA. The most common pathological phenotype was an osteopenic obesity characterized by a decrease in BMD and an increase in fat mass.Disclosure of Interests:None declared


2011 ◽  
Vol 106 (S1) ◽  
pp. S57-S59 ◽  
Author(s):  
Kathryn E. Michel ◽  
Wendy Anderson ◽  
Carolyn Cupp ◽  
Dorothy P. Laflamme

Body condition scoring (BCS) systems primarily assess body fat. Both overweight and underweight animals may have loss of lean tissue that may not be noted using standard BCS systems. Catabolism of lean tissue can occur rapidly, may account for a disproportionate amount of body mass loss in sick cats and can have deleterious consequences for outcome. Therefore, along with evaluation of body fat, patients should undergo evaluation of muscle mass. The aims of the present study were first to evaluate the repeatability and reproducibility of a 4-point feline muscle mass scoring (MMS) system and second to assess the convergent validity of MMS by dual-energy X-ray absorptiometry (DXA). MMS was as follows: 3, normal muscle mass; 2, slight wasting; 1, moderate wasting; 0, severe wasting. For the first aim, forty-four cats were selected for evaluation based on age and BCS, and for the second aim, thirty-three cats were selected based on age, BCS and MMS. Cats were scored by ten different evaluators on three separate occasions. Body composition was determined by DXA. Inter- and intra-rater agreement were assessed using kappa analysis. Correlation between MMS and BCS, age, percentage lean body mass and lean body mass (LBM) was determined using Spearman's rank-order correlation. The MMS showed moderate inter-rater agreement in cats that scored normal or severely wasted (κ = 0·48–0·53). Intra-rater agreement was substantial (κ = 0·71–0·73). The MMS was significantly correlated with BCS (r 0·76, P < 0·0001), age (r − 0·75, P < 0·0001), LBM (g) (r 0·62, P < 0·0001) and percentage LBM (r − 0·49, P < 0·0035). Additional investigation is needed to determine whether the MMS can be refined and to assess its clinical applicability.


2017 ◽  
Vol 57 (4) ◽  
pp. 279-285 ◽  
Author(s):  
Maria Fernanda B. Resende Guimarães ◽  
Maria Raquel da Costa Pinto ◽  
Renata G. Santos Couto Raid ◽  
Marcus Vinícius Melo de Andrade ◽  
Adriana Maria Kakehasi

1993 ◽  
Vol 69 (3) ◽  
pp. 645-655 ◽  
Author(s):  
S. P. Stewart ◽  
P. N. Bramley ◽  
R. Heighton ◽  
J. H. Green ◽  
A. Horsman ◽  
...  

In twenty-eight healthy subjects, ten men and eighteen women, with a range in body mass index (BMI) of 17.9–31.6 kg/m2 and an age range 20–60 years, body composition was estimated by dual-energy X-ray absorptiometry (DEXA), skinfold anthropometry (SFA) and bioelectrical impedance analysis (BIA) of the ‘whole body’and body segments. In thirteen subjects muscle mass was also estimated by 24 h urinary creatinine excretion. The relationship between fat-free mass (FFM) determined by DEXA and the impedance index of each body segment (calculated as Iength2/impedance (Z)) was analysed. The strongest correlation was between FFM (DEXA) and height2/‘whole-body’Z (Zw) (r 0.97 for the combined sexes, standard error of estimate (SEE) 2.72 kg). Separate prediction equations were found to be necessary for males and females when estimating FFM from BIA measurement of the arm (for men, r 0.93, SEE 1.98 kg; for women, r 0.75, SEE 2.87 kg). Muscle mass derived from 24 h creatinine excretion showed weak correlation with FFM (DEXA) (r 0.57, P = 0.03) and no correlation with FFM (SFA). FFM (SFA) correlated well with both FFM (DEXA) (r 0.96, SEE = 3.12 kg) and with height2/Zw (r 0.92, SEE 4.52 kg). Measurement of the impedance of the arm offers a simple method of assessing the composition of the whole body in normal individuals, and it appears comparable with other methods of assessment.


2021 ◽  
Vol 11 (11) ◽  
pp. 1139
Author(s):  
Che-Cheng Chang ◽  
Yen-Kung Chen ◽  
Hou-Chang Chiu ◽  
Jiann-Horng Yeh

Sarcopenia and obesity can negatively impact quality of life and cause chronic fragility, and are associated with neuromuscular diseases, including myasthenia gravis (MG). The long-term consequences of body composition changes in chronic MG remain unknown; we therefore evaluated changes in body composition, including sarcopenia, obesity, lean body mass, and the prevalence of sarcopenic obesity in patients. In this cross-sectional study, 35 patients with MG (mean age: 56.1 years) and 175 matched controls were enrolled. Body fat mass and skeletal muscle mass were measured using whole body dual-energy X-ray absorptiometry. Patients with MG exhibited a higher prevalence of obesity and higher android adiposity and total body fat percentage than those of controls. Although the prevalence of sarcopenia and sarcopenic obesity did not increase with age, there was a decrease in arm and android muscle mass in patients with MG compared with controls. Lower muscle mass percentages were correlated with increased age and MG severity, but not with corticosteroid use. Thus, MG is associated with increased risk for obesity and decreased muscle mass with aging, regardless of corticosteroid use. Therefore, accurate diagnosis of body composition changes in MG could facilitate the application of appropriate therapies to promote health, improve quality of life, and prevent fragility.


2016 ◽  
Vol 69 (suppl. 1) ◽  
pp. 85-88
Author(s):  
Radmila Matijevic ◽  
Vladimir Harhaji ◽  
Srdjan Ninkovic ◽  
Zoran Gojkovic ◽  
Predrag Rasovic ◽  
...  

Introduction. Osteoporosis is a metabolic skeletal disease characterized by bone mineral density reduction, which may lead to an increased risk of bone fractures. Obesity is a condition of excessive body fat that causes or aggravates many public health problems. As it is easy to be measured, body mass index is widely used as an index of the degree of obesity. Material and Methods. The study included 1.372 female orthopedic patients between the ages of 30 to 79 years who visited the Clinical Centre of Vojvodina in Novi Sad to have a dual-energy x-ray absorptiometry (DEXA) examination in the period from March, 2010 to June, 2013. The following anthropometric data were collected: body mass index, body weight, height, dual-energy x-ray absorptiometry T-score and bone mineral density (BMD), as well as some other data. Results. The mean age was 62.08 years, the mean weight was 73.59 kg and the mean height was 1.6 m. There were 392 participants in the group of normal body mass index, 14 participants were underweight, and 966 were overweight and obese. In the overweight and obese group, 25.25% participants had osteoporosis, 35.4% had osteopenia and 39.33% had the normal T-score. In the normal body mass index group, 42.34% of the participants had osteoporosis, 29.3% had osteopenia and 28.31 had the normal T-score. In the underweight group, 57.14% of the participants had osteoporosis, 21.42% had osteopenia and 21.42% had the normal T-score. Conclusion. No strong correlation between body mass index and bone mineral density was found in our study, but it is obvious that there was a stronger correlation between body mass index and bone mineral density of the total hip than between body mass index and bone mineral density of the lumbar spine.


1997 ◽  
Vol 83 (3) ◽  
pp. 927-935 ◽  
Author(s):  
James N. Roemmich ◽  
Pamela A. Clark ◽  
Arthur Weltman ◽  
Alan D. Rogol

Roemmich, James N., Pamela A. Clark, Arthur Weltman, and Alan D. Rogol. Alterations in growth and body composition during puberty. I. Comparing multicompartment body composition models. J. Appl. Physiol. 83(3): 927–935, 1997.—A four-compartment (4C) model of body composition was used as a criterion to determine the accuracy of three-compartment (3C) and two-compartment (2C) models to estimate percent body fat (%BF) in prepubertal and pubertal boys (genital I & II, n = 17; genital III & IV, n = 7) and girls (breast I & II, n = 8; breast III & IV, n = 15). The 3C water-density (3C-H2O) and 3C mineral-density models, dual-energy X-ray absorptiometry, the Lohman age-adjusted equations, the Slaughter et al. skinfold equations, and the Houtkooper et al. and Boileau bioelectrical impedance equations were evaluated. Agreement with the 4C model increased with the number of compartments (i.e., body water, bone mineral) measured. Except for the 3C-H2O model, the limits of agreement were large and did not perform well for individuals. The mean %BF by dual-energy X-ray absorptiometry (23.6%) was greater than that of the criterion 4C method (21.7%). For the field methods, the Slaughter et al. skinfold equations performed better than did the Houtkooper et al. and Boileau bioimpedance equations. The hydration of the fat-free mass decreased (genital I & II = 75.7%, genital III & IV = 74.8%, breast I & II = 75.5%, breast III & IV = 74.4%) and the mineral content increased (genital I & II = 4.9%, genital III & IV = 5.0%, breast I & II = 5.1%, breast III & IV = 5.7%) with maturation. The density of the fat-free mass also increased (genital I & II = 1.084 g/ml, genital III & IV = 1.087 g/ml, breast I & II = 1.086 g/ml, breast III & IV = 1.091 g/ml) with maturation. All of the models reduced the %BF overprediction of the Siri 2C model, but only the 4C and 3C-H2O models should be used as criterion methods for body composition validation in children and adolescents.


2008 ◽  
Vol 100 (4) ◽  
pp. 859-865 ◽  
Author(s):  
Nicole E. Jensky-Squires ◽  
Christina M. Dieli-Conwright ◽  
Amerigo Rossuello ◽  
David N. Erceg ◽  
Scott McCauley ◽  
...  

We tested the validity and reliability of the BioSpace InBody 320, Omron and Bod-eComm body composition devices in men and women (n 254; 21–80 years) and boys and girls (n 117; 10–17 years). We analysed percentage body fat (%BF) and compared the results with dual-energy X-ray absorptiometry (DEXA) in adults and compared the results of the InBody with underwater weighing (UW) in children. All body composition devices were correlated (r 0·54–0·97; P ≤ 0·010) to DEXA except the Bod-eComm in women aged 71–80 years (r 0·54; P = 0·106). In girls, the InBody %BF was correlated with UW (r 0·79; P ≤ 0·010); however, a more moderate correlation (r 0·69; P ≤ 0·010) existed in boys. Bland–Altman plots indicated that all body composition devices underestimated %BF in adults (1·0–4·8 %) and overestimated %BF in children (0·3–2·3 %). Lastly, independent t tests revealed that the mean %BF assessed by the Bod-eComm in women (aged 51–60 and 71–80 years) and in the Omron (age 18–35 years) were significantly different compared with DEXA (P ≤ 0·010). In men, the Omron (aged 18–35 years), and the InBody (aged 36–50 years) were significantly different compared with DEXA (P = 0·025; P = 0·040 respectively). In addition, independent t tests indicated that the InBody mean %BF in girls aged 10–17 years was significantly different from UW (P = 0·001). Pearson's correlation analyses demonstrated that the Bod-eComm (men and women) and Omron (women) had significant mean differences compared with the reference criterion; therefore, the %BF output from these two devices should be interpreted with caution. The repeatability of each body composition device was supported by small CV ( < 3·0 %).


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