Clinicians' CornerPrediction of Areal Bone Mineral Density and Bone Mineral Content in Children and Adolescents Living With HIV Based on Anthropometric Variables
Introduction
Human immunodeficiency virus (HIV) itself and highly active antiretroviral therapy (HAART) are associated with adverse morphological, metabolic, cardiovascular, nervous system, and renal events (1). The available information suggests low bone mineral content (BMC) and areal bone mineral density (aBMD) in children and adolescents infected with HIV (2). The main concern regarding seropositive individuals infected by vertical transmission are the long-term effects of exposure to HIV and to the drugs used for its treatment, particularly during puberty, a critical period of bone mineral accrual when about 80% of the adult bone mass is deposited. Low peak bone mass during this phase is related to an increased risk of osteoporosis and fractures (3).
Bone mass can be measured by quantitative computed tomography, quantitative ultrasound, and dual-energy X-ray absorptiometry (DXA) (4). These methods are usually used to assess BMC, BMD, and aBMD, but they require sophisticated equipment, adequate physical structure, and are expensive in most of settings where HIV is more prevalent. Anthropometry could be alternative method for the predicting bone mass because it is noninvasive and of low cost. Body weight, height, circumference measurements, and bone diameters, combined with age, gender, and skin color, have been used for the prediction of bone mass in healthy children and adolescents (5). These variables can be measured with portable devices which are frequently available in primary care centers, although trained personnel are necessary for reliable measurement.
In this respect, predictive equations would permit valid and accurate data that could be applied in clinical practice and in field studies (6). These predictive equations are particularly relevant to middle- and low-income countries where resources for bone health monitoring are limited. Despite these advantages, there are few studies designed to elaborate prediction models of bone mass for populations with altered clinical conditions 7, 8. Therefore, the objective of the present study was to develop predictive equations of BMC and aBMD based on anthropometric measures in children and adolescents living with HIV using DXA as the reference method.
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Study Design and Patient Population
A cross-sectional and observational study was conducted in 2009 in the city of Florianópolis, capital of the State of Santa Catarina, Southern Brazil. The city has the third highest Human Development Index (0.847) in Brazil (average of 0.727). Additionally, the Gini coefficient, which is a measure of inequality of income distribution, is 0.566 in Florianópolis. In Brazil, the coefficient ranges from 0.284 to 0.808 (9).
The target population consisted of children and adolescents living with HIV
Results
Table 1 shows the characteristics of the children and adolescents living with HIV. Twenty-seven (56.2%) participants were white and the families of 31 (64.6%) had a monthly income of <3 minimum wages (minimum wage = US $299.58). Forty-two (88.2%) participants were eutrophic according to BMI for age. A delay in skeletal maturation was observed in five (10.4%) subjects, considering a difference ≥ −2.0 standard deviations for gender and age (18). Analysis of maturity revealed 7 (14.6%) in Tanner
Discussion
The present study demonstrated that height, body weight, arm circumference, BMI, and femoral diameter, with age and skin color adjusted by sex, predict in 84% and 94% of aBMD and BMC, respectively, in children and adolescents living with HIV. These variables are accurate and reliable and can be easily measured in clinical setting. DXA, which is the preferred method for the evaluation of aBMD and BMC (23), was used as reference for the development of these models. These results are relevant to
Acknowledgment
The authors acknowledge the patients, investigators, and study personnel participating in this study. Also, we would like to thank Coordination of Improvement of Higher Education Personal (CAPES) for the awarded scholarships and Clínica Imagem for the assistance with DXA scans.
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