HIV infection alone does not increase risk of diabetes

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HIV infection itself does not increase the risk of diabetes, US investigators report in the June 19th edition of AIDS. Indeed, the results of the research showed that, at the start of the study, people with HIV had a lower risk of diabetes than HIV-negative individuals.

However, this was because of the low body mass index (BMI) of untreated HIV-positive individuals, and an improving immune status, treatment with antiretroviral drugs, and hepatitis C virus were all shown to increase diabetes risk in people with HIV.

“We believe that the net risk of diabetes mellitus is determined by a complex interplay of individual factors, with the traditional risk factors dominating the profile leading to an overall lower risk in HIV-infected persons,” comment the investigators.

Glossary

diabetes

A group of diseases characterized by high levels of blood sugar (glucose). Type 1 diabetes occurs when the body fails to produce insulin, which is a hormone that regulates blood sugar. Type 2 diabetes occurs when the body either does not produce enough insulin or does not use insulin normally (insulin resistance). Common symptoms of diabetes include frequent urination, unusual thirst and extreme hunger. Some antiretroviral drugs may increase the risk of type 2 diabetes.

traditional risk factors

Risk factors for a disease which are well established from studies in the general population. For example, traditional risk factors for heart disease include older age, smoking, high blood pressure, cholesterol and diabetes. ‘Traditional’ risk factors may be contrasted with novel or HIV-related risk factors.

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.

multivariate analysis

An extension of multivariable analysis that is used to model two or more outcomes at the same time.

nucleoside

A precursor to a building block of DNA or RNA. Nucleosides must be chemically changed into nucleotides before they can be used to make DNA or RNA. 

The association between HIV infection and diabetes mellitus is poorly understood. This is partly because people with HIV have a different prevalence of risk factors for the condition than HIV-negative individuals.

There is however general agreement that traditional risk factors for diabetes, such as increasing age, obesity, and race, are responsible for most cases of the condition diagnosed in people with HIV. What is less clear is the role of risk factors such as the use of antiretroviral drugs and co-infection with hepatitis C virus.

Earlier research has yielded conflicting results about the risk factors for diabetes in people with HIV. Therefore investigators from the US Veterans Aging Cohort Study designed a case-controlled study to determine the association between HIV and diabetes and its risk factors.

A total of 3227 HIV-positive patients and 3240 HIV-negative controls were included in the research.

The people with HIV were younger (49 years vs 51 years, p < 0.001), and more likely to be men (98% vs 92, p < 0.001), black (67% vs 62%, p < 0.001), and infected with hepatitis C virus (31% vs. 15%, p < 0.001) than the controls.

The baseline prevalence of diabetes was significantly lower (p < 0.001) amongst people with HIV (15%) than those who were HIV-negative (21%).

However, the investigators found that this was entirely explained by the HIV-positive patients having a lower BMI.

Multivariate analysis that controlled for possible confounding factors confirmed that overall people with HIV had a lower risk of diabetes (OR = 0.84, 95% CI: 0.72 to 0.97).

Traditional risk factors for diabetes (increasing age, male sex, black race and increasing BMI) were, however, more strongly associated with the development of diabetes in people with HIV than HIV-negative individuals.

Furthermore, the investigators’ analysis showed that co-infection with hepatitis C virus significantly increased the risk of diabetes in people with HIV but not those who were HIV-negative.

Treatment with combination antiretroviral therapy also increased the risk of diabetes (OR = 1.11; 95% CI: 1.05 to 1.17). Treatment with drugs from the nucleoside reverse transcriptase inhibitor (NRTI) and non-nucleoside reverse transcriptase inhibitor (NNRTI) classes were also associated with an increased risk of diabetes, as was the cumulative length of exposure to antiretroviral therapy.

The researchers also found a weak association between having a CD4 cell count above 500 cells/mm3 and a higher risk of diabetes, compared to people with lower CD4 cell counts. They hypothesise that could be because of the weight gain that accompanies improving health status after initiating HIV therapy.

Intriguingly, neither drug nor alcohol use were associated with a higher risk of diabetes, a finding that the investigators struggled to offer an explanation for.

“In conclusion”, write the investigators, “we found that HIV itself is not associated with a higher risk of diabetes mellitus. In fact, after adjusting for traditional risk factors, HIV is actually associated with a lower risk. A return to a more healthy state with increasing BMI and CD4 lymphocyte counts was associated with a higher risk of diabetes. However, the magnitude of association with the traditional risk factors varies between HIV infected and uninfected persons.”

References

Butt AA HIV infection and the risk of diabetes mellitus. AIDS 23: 1227-34, 2009.