Lower weight explains why HIV-positive patients have a risk of lower bone mineral density

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HIV-positive individuals have lower bone mineral density (BMD) than their HIV-negative peers because of lower body-weight, investigators conclude in a paper published in the online edition of the Journal of Clinical Endocrinology and Metabolism.

But the researchers, from the university of Auckland, New Zealand, found that this could be explained because HIV-positive patients tended to have lower body weight than HIV-negative individuals. When they controlled for body weight, the difference in bone density between HIV-positive and HIV-negative individuals ceased to be significant.

Approximately 30 cross-sectional (or snap-shot) studies have shown a relationship between HIV infection and low BMD. Indeed, a meta-analysis of studies conducted before 2005 found that HIV-positive patients were over six times more likely than HIV-negative controls to have low BMD and almost four times more likely than controls to have osteoporosis.

Glossary

bone mineral density (BMD)

The higher your bone mineral content, the denser your bones are. And the denser your bones, the stronger they are and the less likely they are to break. A bone density test uses X-rays to measure how many grams of calcium and other bone minerals are packed into a segment of bone. The bones that are most commonly tested are in the spine, hip and sometimes the forearm. 

meta-analysis

When the statistical data from all studies which relate to a particular research question and conform to a pre-determined selection criteria are pooled and analysed together.

body mass index (BMI)

Body mass index, or BMI, is a measure of body size. It combines a person's weight with their height. The BMI gives an idea of whether a person has the correct weight for their height. Below 18.5 is considered underweight; between 18.5 and 25 is normal; between 25 and 30 is overweight; and over 30 is obese. Many BMI calculators can be found on the internet.

osteoporosis

Bone disease characterised by a decrease in bone mineral density and bone mass, resulting in an increased risk of fracture (a broken bone).

statistical significance

Statistical tests are used to judge whether the results of a study could be due to chance and would not be confirmed if the study was repeated. If result is probably not due to chance, the results are ‘statistically significant’. 

But a study conducted at the University of Auckland showed that white, male HIV-positive patients were over 6kg lighter than age-matched HIV-negative controls. When the investigators took this difference into account, they found that the difference in BMD between HIV-positive and HIV-negative individuals ceased to be significant.

Because of these findings the New Zealand investigators decided to conduct a second meta-analysis looking at the relationship between HIV infection and BMD. But unlike the previous meta-analysis this one sought to control for differences in body weight between HIV-positive and HIV-negative individuals.

A literature search was conducted to identify studies and abstracts published before 2007 using the search terms ‘HIV’, ‘AIDS’, ‘osteopenia’, and ‘osteoporosis’. To be included in the meta-analysis, the study had to include patients aged over 18, have a control group of HIV-negative individuals, and have data on either body weight or body mass index (BMI) for both groups.

In total, nine published studies and one abstract met the investigators’ requirements. The total number of HIV-positive patients included in these studies was 1371 and there were 1644 HIV-negative controls.

HIV-positive patients were an average of 5kg (p

Preliminary analysis showed that HIV-positive patients had lower BMD than the controls in the lumbar spine region (5% lower, p

But controlling for weight or BMI had a dramatic effect on these results. The difference in BMD in the lumbar spine region ceased to be significant (2% lower in HIV-positive patients, p = 0.12), BMD in the hip was only 2.4% lower (p = 0.031), and BMD in the femoral neck was 5% lower in patients with HIV (p = 0.013).

Unadjusted BMD was a statistically significant 5.5% lower in HIV-positive patients (p = 0.006), but after weight adjustment the relationship between HIV infection and low BMD ceased to be significant (p = 0.11).

The areas with most pronounced difference in BMD between HIV-positive patients and HIV-negative controls was the femoral neck. This size of this difference was largely explained by a single study, which only contributed a small number of patients. The investigators therefore excluded this study from a further set of analysis. After doing this, the weight-adjusted difference in BMD between HIV-positive and HIV-negative individuals fell to 3%, a difference which was no longer statistically significant.

Studies conducted since the introduction of effective anti-HIV therapy in the late 1990s tended to find a lower difference in BMD between HIV-positive patients and controls. This is consistent with the investigators’ hypothesis, as weight gain is a positive effect of antiretroviral therapy. The investigators also note that longitudinal studies have failed to find an association between the duration of HIV infection and loss of BMD, and HIV-infection is not an independent risk factor for fractures.

“Low body weight in HIV-infected patients can largely account for the high occurrence of low BMD in HIV-infected patients, and that HIV infection in the absence of low body weight is not a risk factor for low BMD”, conclude the investigators.

References

Bolland MJ et al. Low body weight mediates relationship between HIV infection and low bone mineral density: a meta-analysis. J Clin Endrocrin Metab (online edition), 2007.