- Citado por SciELO
- Citado por Google
- Similares en SciELO
- Similares en Google
versión impresa ISSN 0212-1611
Nutr. Hosp. vol.26 no.3 Madrid mayo-jun. 2011
Comparison of bioelectrical impedance with skinfold thickness and X-ray absorptiometry to measure body composition in HIV-infected with lipodistrophy
Comparación de impendancia bioeléctrica con grosor de pliegues cutáneos y absorciometría de rayos X para mensurar la composición corporal de personas con VIH con lipodistrofia
H. Siqueira Vassimon1, A. A. Jordao1, F. J. Albuquerque de Paula1, A. Artioli Machado1 and J. Pontes Monteiro2
1Department of Internal Medicine. School of Medicine of Ribeirao Preto. University of São Paulo.
2Department of Pediatrics. School of Medicine of Ribeirao Preo. University of São Paulo. Brazil.
Introduction: Human immunodeficiency vírus (HIV)-associated lipodystrophy syndrome (LS) includes body composition and metabolic alterations. Lack of validated criteria and tools make difficult to evaluate body composition in this group.
Objective: The aim of the study was to compare different methods to evaluate body composition between Brazilians HIV subjects with (HIV+LIPO+) or without LS (HIV+LIPO-) and healthy subjects (Control).
Methods: in a cross-sectional analyses, body composition was measured by bioelectrical impedance analysis (BIA), skinfold thickness (SF) and dual-energy x-ray absorptiometry (DXA) in 10 subjects from HIV+LIPO+ group; 22 subjects from HIV+LIPO- group and 12 from Control group.
Results: There were no differences in age and body mass index (BMI) between groups. The fat mass (FM) (%) estimated by SF did not correlate with DXA in HIV+LIPO+ group (r = 0,46/ p > 0,05) and had fair agreement in both HIV groups (HIV+LIPO+ =0,35/ HIV+ LIPO- = 0,40). BIA had significant correlation in all groups (p < 0,05) and strong agreement, meanly in HIV groups, for FM (HIV+LIPO+ = 0,79/ HIV+LIPO- = 0,85 / Control = 0,60) and for fat free mass (FFM) (HIV+LIPO+ = 0,93 / HIV+LIPO- = 0,92 / Control = 0,73).
Discussion: Total fat mass can be measured by BIA with good precision, but not by SF in HIV-infected patients with LS. Segmental BIA, triciptal SF, circumferences of arms, waist and legs maybe alternatives that need more studies.
Key words: Electric impedance. Body composition. HIV-associated lipodystrophy syndrome. Photon absorptiometry.
Introducción: El síndrome de lipodistrofia (SL) asociado al virus de inmunodeficiencia humana (HIV) incluye alteraciones en la composición corporal y metabólica. La falta de herramientas adecuadas y criterios válidos dificultan la evaluación de la composición corporal en este grupo.
Objetivo: El objetivo del estudio fue comparar distintos métodos para evaluar la composición corporal entre individuos brasileños con HIV que teniam (HIV+LIPO+) o no LS (HIV+LIPO-) e individuos sanos (control).
Métodos: Estudio transversal en el que fue evaluada la composición corporal por análisis de impedancia bioeléctrica (BIA), pliegues cutáneos (SF) y absorciometría de rayos X de doble energía (DXA) en un grupo de 10 individuos con HIV+LIPO+, 22 individuos del grupo HIV+ LIPO- y 12 individuos del grupo control.
Resultados: No hubo diferencias en la edad e índice de masa corporal (IMC) entre grupos. La masa grasa (MG) (%) estimada por SF no se correlacionó con DXA en pacientes del grupo HIV+LIPO+ (r = 0,46 / p> 0,05) y había leve concordancia en ambos grupos con HIV (HIV+LIPO+ = 0,35/ HIV+LIPO- = 0,40). BIA tuvo una correlación significativa en todos los grupos (p <0,05) y fuerte acuerdo, principalmente en grupos HIV para MG (HIV+LIPO+ = 0,79 / HIV+LIPO- = 0,85 / Control = 0,60) y para la masa libre de grasa (HIV+LIPO+ = 0,93/ HIV+LIPO- = 0,92 / Control = 0,73).
Discusión: La masa grasa total puede ser medida por BIA con precisión, pero no por SF en los individuos con HIV y LS. BIA segmentario, SF del tríceps, circunferencia de brazos, cintura y piernas, pueden ser alternativas que necesiten más estudios.
Palabras clave: Bioimpedancia eléctrica. Composición corporal. VIH. Lipodistrofia. Absorciometría de rayos X de energía dual.
HIV-1: Human immunodeficiency virus 1.
LS: Lipodystrophy syndrome.
BIA: Bioelectrical impedance.
SF: Skinfold thickness.
DXA: Dual-energy x-ray absorptiometry.
BMI: Body mass index.
FM: Fat mass.
FFM: Fat free mass.
HAART: Highly active antiretrovial therapy.
WC: Wais circumference.
MAC: Mid-arm muscle circumference.
Aids had killed million of people since its discovery in 1981. The global percentage of people living with HIV-1 have been stabilizing.1 Brazil doesn't differ from this scenary, with a prevalence of 0,6%, in 2007 and showing stabilization in various states such as Sao Paulo.2
The dramatic improvement on life expectancy was, in great part, due to highly active antiretrovial therapy (HAART), however side effects were soon recognized, including changes in body fat distribution and metabolic disturbances.3 Together, these abnormalities comprise LS.4,5
The body composition of HIV-infected patients had changed along the history, in the past it was common to observe cachectic individuals, preferentially, with lost of lean mass instead of FM and now we verify lost of fat mass with similar more than lean mass.6 The LS is characterized by combinations of lipoatrophy (subcutaneous fat depletion in the face, arms, legs and buttocks) and/or lipohypertrophy (accumulation of fat in the abdomen, cervical and dorsocervical area, visceral and the breast).7
Until this moment, there is a lack of validated diagnostic criteria and tools are unsatisfactory for clinical care and for research in LS. The body fat redistribution is typically identified by physical examination and self report. A variety of techniques have been used to assess body composition such as anthropometry, BIA, DXA, computed tomography, magnetic resonance imaging and ultrasonography.8
DXA, computed tomography and magnetic resonance imaging are considered accurate methods for estimating body FM in HIV-infected patients but cannot be used routinely, because of expenses and need for experienced technicians.9 BIA and anthropometry are two inexpensive bedside techniques that are widely used in clinical practice and could be an alternative 10. The aim of this study was to compare estimates of body FM and FFM by BIA and SF measurements with values obtained from DXA.
A cross-sectional study to compare body composition and metabolic abnormalities was conducted in Medical School Hospital at University of Sao Paulo, Brazil between august 2007 and march 2008. This study was approved by the Ethical Committee and all volunteers gave their written informed consent.
The subjects were divided into three groups: HIV-infected men undergoing HAART with LS (HIV+ LIPO+); HIV-infected men undergoing HAART without LS (HIV+LIPO-) and healthy men (Control).
Patients were included if they were male, had more than 18 years of age, with stable weight (10% of variation in the last 6 months), body mass index between 18.5 kg/m2 and 30 kg/m2. Patients were excluded if they were in use of glucocorticoids in the last year and if they had serious alteration in cardiac, lung, liver, kidney or thyroid function.
Control group was recruited from Hospital employees. All HIV-infected patients were recruited from the infection disease ambulatory. They were included if they were receiving HAART for at least 6 months, free of acute AIDS-related events and with a CD4 count more than 200 copies/mm3.
Criteria for the lipodystrophy syndrome
HIV-infected men were included in the group with lipodystrophy (HIV+LIPO+) if the lost of subcutaneous fat was detected (arms, legs or face) by the same investigator and self reported by the patient. The subjective definition includes only lipoatrophy and the patients could have or not lipohypertrophy together.11
CD4 count was done by flow cytometry (Facscalibur®) and viral load determination assay with detection of 50 copies/ml plasma by branched DNA test, using Quan-tiplex bDNA® of Siemens.
Anthropometric measurements were performed in all patients by the same trained dietitian. BMI was calculated from the height and weight values. Body circumferences and SF at biceps, triceps, subscapular and suprailiac were measured to the nearest 0.2 mm in standing position using a Lang SF caliper® (Cambridge Scientific Industries, Cambridge, MA) according to the standard techniques.12 Measurements were obtained by the mean of 3 determinations taken on right side of the body.
Waist circumference (WC) was measured by placing a measuring tape horizontally around the part of the trunk located midway between the lower costal margin (bottom of lower rib) and the iliac crest (top of pelvic bone) with the person standing.13 Mid-arm circumference was assessed at the measured midpoint of upper right arm to the nearest 0.1 cm. Mid-arm muscle circumference (MAC) was determined using the standard equation of Frisancho, data.14
The logarithm of the sum of the SF thicknesses was obtained, from which the density of the FFM was calculated according to Durnin and Womersley data, adapted for age and sex.15 Percentage of body FM was then calculated using Siri's equation.16
BIA included measurements of resistance and reactance by a 4-terminal impedance analyzer (model BIA-103; RJL-system®, Detroit, MI) using a single-frequency with current at 50 kHz while the subjects were supine with arms and legs extended. Electrodes were attached at standardized positions on the right side of the body. FFM was estimated using the prediction equation developed by Kotler et al. (1996).17 Body FM was then calculated by subtracting the FFM from the total weight.
Ht = height, Wt = weight, and Z (impedance) Z2 = R2 + Xc2 where R= resistance Xc = reactance
The segmental BIA considered the whole body as three cylinders: arm, trunk and leg. The positions of electrodes are described elsewhere.18, 19 The results are shown as resistance values and the leg index of the conductive volume, by using the formula leg length2/ resistance.19
Whole-body DXA scans (Hologic QDR 4500A scanner®, Hologic Inc, Waltham, MA) were performed and analyzed by an independent observer. The measurements provided FM and FFM of regional and total body.
Data were analyzed using Statistical Package for the Social Sciences (SPSS), version 15. After testing normality (Komogorov-Smirnov), one-way analysis of variance (ANOVA) was used to compare groups. All continuous variable were expressed as means ± standard deviation (SD) and differences were admitted as statistically significant when p value < 0,05. Tukey test was used for post hoc analysis.
Categorical variables were compared using qui square test and giving frequencies of each variable in each group. Correlations were calculated using Pearson correlation coefficient.
To detect agreement between the methods we considered DXA as reference method (gold standard) and applied St Laurent coefficient test. A value above 0.81 was considered almost perfect and beyond 0.40 as a fair strength of agreement.
Clinical and demographic characteristics
Forty seven patients were enrolled at this study. Of these, three were excluded because of hypothyroidism, weight gain higher than 10% in a short period of time and undernutrition. All patients who all who fulfilled the inclusion criteria, accept to participate of the study.
All the subjects were male and with similar age (p = 0.25). HIV+LIPO+ were represented by 10 patients (46 ± 5 yrs); HIV+LIPO- by 22 patients (43 ± 6 yrs), and control group by 12 subjects (45 ± 5 yrs).
The groups were comparable regarding the CD4 count (HIV+LIPO+ = 551 ± 300 cells/mm3; HIV+ LIPO- = 454 ± 186 cells/mm3, NS) and only 5 patients had viral load more than 50 copies/mm3.
The mean time since the diagnosis of HIV was similar between groups (HIV+LIPO+ = 114 ± 27 months and HIV+LIPO- = 96 ± 64 months; p > 0.05). The duration of HAART was also similar between groups (HIV+LIPO+ = 110 ± 23 months; HIV+LIPO- = 78 ± 52 months; p value > 0.05).
The combination of different antiretroviral classes was similar between HIV-infected groups. The most common therapy prescribed were 2 nucleoside-reverse transcriptase inhibitor (NRTI) + 1 non- nucleoside-reverse transcriptase inhibitor (NNRTI) (30%), 1 NRTI + 1 NNRTI + 1 protease inhibitor (PI) (30%) and 2 NRTI + 1 PI (20%) in HIV+LIPO+ group. In HIV+LIPO- group, the results were 54%, 14% and 27%, respectively.
Body composition assessment
BMI was similar between groups. There was no significant difference between the 3 groups regarding DXA-values for lean mass (table I). Leg and total body FM values, however, were significantly lower in HIV+LIPO+.
Table II documents anthropometric variables. Arm circumference and triceps SF were lower, indicating fewer subcutaneous fat in HIV+LIPO+ when compared to others groups. It was found an excellent correlation between MAC and lean mass determined by DXA (r = 0.718 p < 0.05). SF values were significantly correlated with DXA only in Control group (r = 0.704) and waist circumference values were significantly correlated in all groups.
Only Control group had significant correlation and good agreement between FM estimated by SF with FM measured by DXA. Although, the agreement were fair strength in both HIV groups (table III). In relation to BIA, the correlation and the agreement analysis were reported in table IV. BIA was correlated positively and significantly with DXA in all groups and with substantial agreement.
No differences were observed by resistance value or the leg index of the conductive volume.
We used methods to assess body composition in HIV-infected man with LS and compare to HIV-infected man without LS and to controls. DXA was used as gold standard, and fewer prior studies have specifically examined agreement between methods to access LS in HIV-infected patients.
All groups were homogenous for age and BMI, time of undergoing HAART and type of HAART. DXA results demonstrated statistically reduced leg fat in HIV+LIPO+ when compared to HIV+LIPO- and control groups, confirming the peripheral lipoatrophy. Leg fat was the depot most affected in HIV-infection and was in agreement with others studies.20-23 Lean mass did not differ between groups which could, at least in part, explain the relative preservation of lean mass in aids patients under antiretroviral drug.8
Anthropometric measurements were important to detect loss of regional FM and total lean mass. Arm circumference was significantly lower in HIV+LIPO+ when compared to control group, suggesting that bone, muscle or fat tissue could be altered. It was found an excellent correlation between MAC and LM determined by DXA which suggests an adequate applicability of MAC in clinical practice in aids patients with LS. Also waist circumference was correlated with trunk fat mass from DXA, suggesting being another practical important instrument. Our mean triceps SF values were similar to other study that used triceps SF as definition to lipoatrophy.24 However, our results were not correlated with arm fat mass determined by DXA.
Our results demonstrated that the estimation of FM by SF were neither correlated nor in agreement with DXA in HIV+LIPO+ group. Durnin and Womersley equation to predict FM was designed from healthy population and may not be useful for disease related groups.10,25 Batterham, Garcia and Greenop (1999) compared 6 equations to estimate FM by SF in aids patients and none had agreement with DXA.26
The mean result from this study was that BIA could accurate predict FFM and FM in HIV-infected man with SL, when using Kotler's equation. This equation was validated in a study involving HIV-infected patients.17 Forrester, Sheehan and Joffe (2008) also found good correlation between BIA and DXA in HIV-infected men (r = 0.89 for LM, and r = 0.88 for FM, p < 0.05).27 Aghdassi et al. (2007) also found good agreement between BIA and DXA in a group of 47 HIV-infected male subjects receiving HAART. Their results suggest that BIA (using the prediction equation in the manufactures' software of RJL system, model BIA-103) could be used for routine assessment of total body FM in male subjects with HIV-infection.9
Segmental BIA could be an alternative method to detect changes in fat mass. Until now, there were no suitable equations validated to estimate FFM and FM in HIV-infected patients with lipodystrophy. Only one study was found comparing segmental fat mass by BIA in HIV- infected individuals with or without lipodystrophy.10 The study did not have a reference method to compare and observe that the group with lipodystrophy had higher leg resistance index than the group without lipodystrophy, but the discriminative power of BIA between patients with or without lipodystrophy was not improved by the use of leg segmental BIA. New formulas or methods are necessary (table V).
Our main result indicates BIA as clinical effective and practical method to access total body composition in HIV-infected man with lipodystrophy syndrome. More studies are needed to establish more non-invasive clinical methods to access fat mass in these subjects, including segmental BIA and anthropometry.
The authors would like to thank the Infection Disease Ambulatory from Medical School Hospital at University of Sao Paulo, Brazil. Finally, we would like to thankfully acknowledge Coordenacao de Aper-feicoamento de Pessoal de Nivel Superior (CAPES) for partially supporting the research.
1. UNAIDS. Report on the global AIDS epidemic. [serie en Internet]. 2007 [citado 2009 January 13] Disponible en: http://www.unaids.org/en/KnowledgeCentre/HIVData/GlobalReport/2008/2008_Global_report.asp [ Links ]
2. Boletim Epidemiológico. [serie en Internet]. 2007 [citado 2009 January 13]; disponible en: http://www.crt.saude.sp.gov.br/content/dreruslith.mmp [ Links ]
3. Kotler DP. HIV and antiretroviral therapy: lipid abnormalities and associated cardiovascular risk in HIV-infected patients. J Acquir Immune Defic Syndr 2008; 49 (Suppl. 2): S79-85. [ Links ]
4. Calza L, Manfredi R, Chiodo F. Dyslipidaemia associated with antiretroviral therapy in HIV-infected patients. J Antimicrob Chemother 2004; 53 (1): 10-14. [ Links ]
5. Torriani M, Thomas BJ, Barlow RB, Librizzi J, Dolan S, Grinspoon S. Increased intramyocellular lipid accumulation in HIV-infected women with fat redistribution. J Appl Physiol 2006; 100 (2): 609-614. [ Links ]
6. Grunfeld C, Kotler DP, Arnett DK, et al. Contribution of metabolic and anthropometric abnormalities to cardiovascular disease risk factors. Circulation 2008; 118 (2): e20-28. [ Links ]
7. Batterham MB, Garsia R. Nutritional management of HIV/ AIDS in the era of highly active antiretroviral therapy: a review. Australian Journal of Nutrition and Dietetics 2001; 58 (4): 211-223. [ Links ]
8. Bedimo RJ. Body-fat abnormalities in patients with HIV: progress and challenges. J Int Assoc Physicians AIDS Care (Chic Ill) 2008; 7 (6): 292-305. [ Links ]
9. Aghdassi E, Arendt B, Salit IE, Allard JP. Estimation of body fat mass using dual-energy x-ray absorptiometry, bioelectric impedance analysis, and anthropometry in HIV-positive male subjects receiving highly active antiretroviral therapy. JPEN J Parenter Enteral Nutr 2007; 31 (2): 135-141. [ Links ]
10. Schwenk A, Breuer P, Kremer G, Ward L. Clinical assessment of HIV-associated lipodystrophy syndrome: bioelectrical impedance analysis, anthropometry and clinical scores. Clin Nutr 2001; 20 (3): 243-249. [ Links ]
11. Sutinen J, Yki-Jarvinen H. Increased resting energy expenditure, fat oxidation, and food intake in patients with highly active antiretroviral therapy-associated lipodystrophy. Am J Physiol Endocrinol Metab 2007; 292 (3): E687-692. [ Links ]
12. Harrison GG BE, Lindsay Carter JE, Johnston FE, Lohman TG, Pollock ML, Roche AF, Wilmore J. Skinfold thicknesses and measurement technique. In: Lohman TG, Roche AF, Martorell RI(eds) Anthropometric standardisation reference manual. Human Kinetics Champaign, IL. 1988: 55-70. [ Links ]
13. Organization WH. Physical Status: The Use and Interpretation of Anthropometry. Report of a WHO Expert Committee. Geneva, World Health Organization, 1995. [ Links ]
14. Frisancho AR. New norms of upper limb fat and muscle areas for assessment of nutritional status. Am J Clin Nutr 1981; 34 (11): 2540-2545. [ Links ]
15. Durnin JV, Womersley J. Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. Br J Nutr 1974; 32 (1): 77-97. [ Links ]
16. Siri WE. The gross composition of the body. Adv Biol Med Phys 1956; 4: 239-280. [ Links ]
17. Kotler DP, Burastero S, Wang J, Pierson RN, Jr. Prediction of body cell mass, fat-free mass, and total body water with bio-electrical impedance analysis: effects of race, sex, and disease. Am J Clin Nutr 1996; 64 (3 Suppl.): 489S-497S. [ Links ]
18. Baumgartner RN, Chumlea WC, Roche AF. Bioelectric impedance phase angle and body composition. Am J Clin Nutr 1988;48 (1): 16-23. [ Links ]
19. Baumgartner RN, Chumlea WC, Roche AF. Estimation of body composition from bioelectric impedance of body segments. Am J Clin Nutr 1989; 50 (2): 221-226. [ Links ]
20. Joy T, Keogh HM, Hadigan C et al. Relation of body composition to body mass index in HIV-infected patients with metabolic abnormalities. J Acquir Immune Defic Syndr 2008; 47 (2):174-184. [ Links ]
21. Kosmiski LA, Bessesen DH, Stotz SA, Koeppe JR, Horton TJ. Short-term energy restriction reduces resting energy expenditure in patients with HIV lipodystrophy and hypermetabolism. Metabolism 2007; 56 (2): 289-295. [ Links ]
22. Kosmiski LA, Kuritzkes DR, Lichtenstein KA et al. Fat distribution and metabolic changes are strongly correlated and energy expenditure is increased in the HIV lipodystrophy syndrome. Aids 2001; 15 (15): 1993-2000. [ Links ]
23. Luzi L, Perseghin G, Tambussi G et al. Intramyocellular lipid accumulation and reduced whole body lipid oxidation in HIV lipodystrophy. Am J Physiol Endocrinol Metab 2003; 284 (2): E274-280. [ Links ]
24. Jacobson DL, Knox T, Spiegelman D, Skinner S, Gorbach S, Wanke C. Prevalence of, evolution of, and risk factors for fat atrophy and fat deposition in a cohort of HIV-infected men and women. Clin Infect Dis 2005; 40 (12): 1837-1845. [ Links ]
25. Schwenk A. Methods of assessing body shape and composition in HIV-associated lipodystrophy. Curr Opin Infect Dis 2002; 15 (1): 9-16. [ Links ]
26. Batterham MJ, Garsia R, Greenop P. Measurement of body composition in people with HIV/AIDS: a comparison of bioelectrical impedance and skinfold anthropometry with dual-energy x-ray absorptiometry. J Am Diet Assoc 1999; 99 (9): 1109-1111. [ Links ]
27. Forrester JE, Sheehan HM, Joffe TH. A validation study of body composition by bioelectrical impedance analysis in human immunodeficiency virus (HIV)-positive and HIV-negative Hispanic men and women. J Am Diet Assoc 2008; 108 (3): 534-538. [ Links ]
Helena Siqueira Vassimon.
Medical School of Ribeirão Preto.
R. Professor Correa Leite, n336.
Alto da Boa Vista.
CEP 14025-650 Ribeirão Preto (SP) - Brazil.
1a Revisión: 28-IV-2010.