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Ankle-brachial index in HIV infection
AIDS Research and Therapyvolume 6, Article number: 6 (2009)
Prognosis for patients with the human immunodeficiency virus (HIV) has improved with the introduction of highly active antiretroviral therapy (HAART). Evidence over recent years suggests that the incidence of cardiovascular disease is increasing in HIV patients. The ankle-brachial index (ABI) is a cheap and easy test that has been validated in the general population. Abnormal ABI values are associated with increased cardiovascular mortality. To date, six series of ABI values in persons with HIV have been published, but none was a prospective study. No agreement exists concerning the risk factors for an abnormal ABI, though its prevalence is clearly higher in these patients than in the general population. Whether this higher prevalence of an abnormal ABI is associated with a higher incidence of vascular events remains to be determined.
The generalised use of highly active antiretroviral therapy (HAART) in patients with the human immunodeficiency virus (HIV) has led to a spectacular increase in their survival rates [1–3]. At the same time, several cohort studies have noted an increase in the relative risk of major cardiovascular events, especially acute myocardial infarction and subclinical vascular disease [4–8]. Pathophysiological evidence exists that both HIV and HAART can affect the lipid profile [9, 10], insulin resistance [11, 12] and the vascular response to vasodilatation . This has led to greater interest among physicians attending these patients in earlier diagnosis and treatment of the traditional cardiovascular risk factors, and recommendations have even been made for proactive changes in HAART, with a view to improving the profile of these risk factors .
Cohort studies have revealed an increase in the relative risk of acute myocardial infarction and cardiovascular disease, which has not yet been reflected in a large number of cases because absolute levels of incidence remain low [15, 16]. Nevertheless, the incidence observed is greater than that expected according to predictive techniques such as Framingham's equation . Given the possibility that in a few years cardiovascular disease among HIV patients will become more significant than at present, it is of interest to make use of diagnostic tests that enable the early identification of groups of patients presenting high vascular risk, so that a closer control may be maintained of cardiovascular disease risk factors. Cardiovascular disease is the fourth cause of death among HIV patients, close behind non-AIDS-associated neoplasias . Ideally, such tests should be cheap, comparable, innocuous and applicable at outpatient clinics. Techniques for the early diagnosis of atherosclerotic diseases in these patients would enable persons at high risk of cardiovascular events to receive more aggressive therapy for the management of these risk factors and even enable proactive changes in their HAART to be made.
In this context, it is of interest to examine techniques such as measuring the carotid artery intima-media thickness (IMT) or the ankle-brachial index (ABI). The latter index reflects the relation between systolic arterial tension measured in the upper and in the lower limbs; values lower than 0.9 or higher than 1.3, according to guidelines to clinical practice , are considered pathologic and associated with a higher incidence of vascular morbimortality. A recent meta-analysis of the general population, using the ABI index, found an association of values of ≤ 1.1 or ≥ 1.4 with an increased risk of cardiovascular disease and death . This meta-analysis considered 16 studies with a total of 480,325 patients-year, and concluded that an ABI ≤0.9 was associated with a doubled risk of 10-year global mortality, of cardiovascular mortality and of the incidence of severe coronary events, in comparison with the predictions derived from Framingham's equation. In fact, the application of the ABI test to patients previously stratified for vascular risk by Framingham's equation resulted in the reclassification of almost 19% of male patients and of 36% of female patients, and the consequent modification of treatment recommendations for these patients. As remarked above, current American clinical practice guidelines for peripheral arterial disease consider an abnormal ABI to be <0.9 or ≥1.3. The technique is cheap, harmless and reproducible, with a predictable inter-examiner variation . In this short review, we analyze the series published on the application of ABI tests among HIV-infected populations.
Analysis of Published Series
To date, six series have been published on patients with HIV infection and for whom the ABI was calculated. As shown in Table 1, the series are heterogeneous for both the type of patients (sex and age) and for the ABI measurement. The selection of patients was also very heterogeneous; Periard et al  selected patients referred from outpatient clinics, aged over 40 years, after having excluded active drug addicts and those patients with previous arterial complications; Palacios et al  selected patients aged over 50 years, and Bernal et al , those with two or more traditional cardiovascular risk factors; Sharma et al  included only women patients, while Gutiérrez et al  and Olalla et al  did not exclude any type of patient and did not report any conditions for inclusion. In all cases, however, the patients had been referred from HIV infection clinics. Only two of the series reported the number of patients with a high ABI [25, 27], whereas all the series recorded the prevalence of an ABI <0.9. Table 2 shows the different rates of prevalence of the traditional cardiovascular risk factors in the various cohorts.
Both Sharma and Palacios [23, 25] compared the prevalence of altered ABI in patients with and without HIV infection, although among very different types of patients. Sharma et al  compared HIV-infected women aged, on average, 39.6 years with non-infected women aged, on average, 36.4 years (p = 0.002) and found the infected women to include a higher proportion of patients with HDL cholesterol ≤35 mg/dl (26.2% vs 5.2%, p < 0.001) and of triglycerides ≥200 mg/dl (13.4% vs 5.2%, p = 0.03). However, despite the difference in age and the poorer metabolic profile of HIV-infected patients, the prevalence of increased ABI was similar (7.2% among HIV infected patients vs 6.3% among non-infected patients). The prevalence of low ABI was only 0.9% (among the two groups of patients). The series analyzed by Palacios et al  was constituted basically of male patients (82.8%), with the HIV-group presenting a higher proportion of smokers (30.3% vs 46.5%, p = 0.02), and a higher body mass index (24.8 kg/m2 vs 27.7 kg/m2, p = 0.0001), while the HIV+ group presented a higher proportion of patients with hyperlipemia (69.4% vs 36.7%, p = 0.0001), diabetes (31.3% vs 12.2%, p = 0.002) and cardiovascular risk >20% calculated by Framingham's equation 29.5% vs 13.4%, p = 0.008). The prevalence of ABI <0.9 was significantly greater among the HIV+ patients than among those not so infected (10.2% vs 1%, p = 0.01).
All the studies were cut-off studies, and no follow-up study has yet been made. Only Gutiérrez et al  studied the association between an abnormal ABI and a marker of cardiovascular disease, the carotid artery intima-media thickness (IMT). They found that an ABI <0.9 was associated with an increased IMT, though the same was not found for patients with an ABI >1.4. Except Sharma et al , the studies have been conducted mainly in men.
As regards factors associated with an abnormal ABI, Sharma et al. undertook a multivariate analysis of a group of women with and without HIV. They established that cigarette smoking (OR: 2.53; 95% CI, 0.99–6.43), a body mass index <18.5 (OR: 11; 95% CI, 1.61–75.63) and overweight (OR 5.4; 95% CI, 1.13–25.89) were all associated with an increased ABI. Periard et al  found that factors predicting a low ABI were age (OR 1.09; 95% CI, 1–1.18, for each additional year), cigarette smoking (OR 1.7; 95% CI, 1.17–2.46, for each additional 10 pack-years), diabetes (with a perfect prediction, as all the diabetic patients included in the multivariate analysis had a low ABI) and a CD4 cell count below 200 cells per microlitre (OR 27.2; 95% CI, 2.55–286.01). Bernal et al  and Palacios et al  found no significant association with a low ABI. A univariate analysis by Gutiérrez et al  of factors related with a low ABI found significant differences between the number of classical cardiovascular factors (4 in patients with a low ABI versus 2 in the others, p = 0.015) and a lower CD4 cell count (220 vs. 450 cells per microlitre, p = 0.009). In their multivariate analysis, Olalla et al  related it with the use of protease inhibitors (OR 2.79; 95% CI, 1.15–6.54) and the presence of dyslipidemia (OR 2.68; 95% CI, 1.06–6.91); this study, too, found a significant difference in CD4 cells in patients with an abnormal ABI (185.64 vs. 266.67 cells/mL, p = 0.03).
The prevalence of an abnormal ABI in patients with HIV is greater than in the general population, especially regarding those with a high ABI. It remains to be determined whether the current cut-off points for the non-infected population (which leave out the population at risk, such as those with an ABI between 0.9 and 1.1) have the same value in the population with HIV. These cut-off points need to be validated with follow-up studies on the incidence of major ischemic cardiovascular events. Analysis of the different series clearly shows that the prevalence of an abnormal ABI is far more frequent in persons with HIV compared with the general population, in whom the prevalence of peripheral arterial disease is estimated to be 1% at the age of 50 years and 3% at the age of 60 [28, 29].
Of note in our patients was the high prevalence of an ABI >1.3 or >1.4. Whilst the prevalence of an ABI <0.9 is higher in HIV infected persons than among the general population, a high ABI is even more prevalent. A meta-analysis recently published by the Ankle Brachial Index Collaboration  showed that an ABI ≥1.4 was associated with greater overall mortality and cardiovascular mortality in both men and women; this association was not found for an ABI ≥1.3. The same deleterious association was also established for an ABI ≤ 1.1. Clinical practice guidelines, however, still retain the cut-off points of 0.9 and 1.3 when referring to a pathological ABI .
The prevalence of altered ABI varies greatly among the different series analyzed. At one extreme is that of Periard , who reported a prevalence of ABI <0.9 of 20.7%. The selection criterion used in this case was merely that of patients aged over 40 years, even though the average age was in fact close to 50 years. The reason for this high rate of prevalence may lie in the fact that 15% of the patients in this series reported intermittent claudication, according to the Edinburgh questionnaire, which inclines us to believe that selection bias may be present. At the other extreme is the series described by Sharma , in which the prevalence of ABI <0.9 was only 0.9%; this value corresponded to a group of women with an average age of less than 40 years.
Studies such as those by Periard , Gutiérrez  and Olalla  suggest a possible association between a higher degree of immunosuppression and altered ABI. The first of these authors assigned an OR of 27 to obtain an altered ABI if CD4 < 200 cells/microlitre, while Gutiérrez and Olalla found a significant difference in the CD4 lymphocyte cell count between altered and non-altered ABI. Studies have been made of other subordinate markers, such as the carotid intima-media thickness; these, too, relate one-year progression with higher levels of immunosuppression. HIV itself has revealed an inverse relation between the level of viral load and endothelium-mediated vasodilation, and also with components of the antiretroviral treatment applied, such as protease inhibitors or abacavir [13, 30]. This would account for findings such as those for Olalla's series , in which protease inhibitors were associated with altered ABI, this effect being controlled by the presence of dyslipidaemia. Periard  reported an OR of 1.03, with no statistically significant association, with the accumulated use of protease inhibitors.
Smoking has been associated with both a low ABI and with a high ABI, probably because, on the one hand, it is involved in the generation and progression of atheromatous plaques, while on the other; it affects the elasticity of the arterial wall.
This same toxicity towards the endothelium, expressed as the induction of apoptosis (ritonavir) or as the stimulation of endothelium-mediated vasodilation, may partially account for the relation between the use of protease inhibitors with altered ABI, especially due to the lack of arterial compliance (ABI >1.3) rather than because of pure stenosis of the arterial lumen (ABI <0.9). Thus, the high prevalence of a high ABI may be mediated by the involvement of vascular elasticity as well as by the generation of atheroma plaques.
All the series published show a prevalence of altered ABI that is much greater than that of the rates of peripheral arterial disease observed among the general population: 1% at the age of 50 years and 3% at 60 years. If large series confirm this finding, a greater and earlier incidence of vascular events would be expected among the HIV-infected population. Indeed, various studies have already reported a greater and earlier incidence of cardiovascular disease among these patients [31, 32].
Framingham's equation underestimates the vascular risk affecting HIV-infected patients . If ABI measuring becomes generalised, those patients with pathological values should be considered to be at high cardiovascular risk and hence management of cardiovascular risk factors should be more aggressive than usual.
Vascular risk has become an important issue in HIV infected people. Prevalence of abnormal ABI appears to be higher in these patients, and PI use could be in relationship with this. Generalized use of ABI could be an interesting way to identify patients with high vascular risk.
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The authors declare that they have no competing interests.
Conception and design: JO, JT, AA, DS. Revision of the different versions of the study protocol: JO, EPM. Collection and assembly of data: DS. Quality control of the data: FM, JO, EPM. Analysis and interpretation of the data: JO, DS, FM. Drafting of the article: JO. Critical revision of the article for important intellectual contents: JGA. Final approval of the article: JO, JT, AA, JLP.
About this article
- Human Immunodeficiency Virus
- Human Immunodeficiency Virus Infection
- Peripheral Arterial Disease
- Human Immunodeficiency Virus Patient
- Traditional Cardiovascular Risk Factor