What does an elevated ankle-brachial index mean?

Abstract

The objective of this present study is to determine whether high ankle brachial index (ABI) as compared with ABIs within reference limits is associated with an increased incidence of cardiovascular disease (CVD) events and all-cause mortality in a high-risk population and whether this association is the same for patients with and without diabetes mellitus or prevalent CVD.

Approach and Results—

Seven thousand five hundred and thirty-eight patients with ABI>0.9 and either prevalent CVD or a high risk for CVD were selected from the Second Manifestations of Arterial Disease (SMART) study. Three hundred and thirty-six participants (4.5%) had high ABI (≥1.4 or incompressible). Higher age, male sex, higher body mass index, and diabetes mellitus were associated with higher prevalences of high ABI; smoking and higher non–high-density lipoprotein levels were associated with lower prevalences of high ABI. Cox proportional hazards models were fitted assessing the association of high ABI (as compared with ABI 0.9–1.4) with the risk of myocardial infarction, stroke, cardiovascular death, the combined outcome of these 3, and total mortality (median follow-up 6.9 years). After multivariable adjustment, high ABI was associated with an increased risk of myocardial infarction (hazard ratio 1.83 [95% confidence interval 1.22–2.76]), but not with stroke (hazard ratio 0.86 [95% confidence interval 0.44–1.69]), cardiovascular (hazard ratio 1.14 [95% confidence interval 0.70–1.84]), or all-cause mortality (hazard ratio 0.95 [95% confidence interval 0.67–1.34]). Associations of high ABI with CVD outcomes tended to be stronger in patients with diabetes mellitus but without statistically significant interactions.

Conclusions—

In a high-risk population, the presence of an ABI≥1.4 was associated with an increased risk for myocardial infarction, but not with stroke, all-cause, or vascular mortality.

The ankle brachial index (ABI) is the ratio between systolic blood pressure measured at the ankle (posterior tibial and dorsalis pedis artery) and the brachial artery. It is traditionally used to diagnose peripheral artery disease, for which a cutoff value of ≤0.90 is commonly used.1 People with peripheral artery disease, even when asymptomatic, have a worse prognosis than people with an ABI within reference limits in terms of risk of death and cardiovascular events.2

Much less is known about high ABI (≥1.40). High ABIs are generally believed to arise because of medial arterial calcification and may be a marker for vascular stiffness.3 High ABI has been reported to be associated with male sex, diabetes mellitus and hypertension and inversely associated with smoking and hyperlipidemia,4,5 but the high ABI patient group remains poorly characterized.

The ABI collaboration published a meta-analysis in 2008, showing a U-shaped association between ABI and mortality, which indicates that not only low ABI values, but also high ABIs convey excess risk as compared with ABIs within reference limits.6 High ABI has also been associated with increased risk of other outcomes than mortality, such as incident cardiovascular disease (CVD),7 congestive heart failure, stroke, and higher left ventricular mass.8 It is hypothesized that high ABI may be a reflection of increased vascular stiffness that increases the risk of adverse outcomes. However, prospective studies that describe confounder-adjusted analyses are scarce, and results are inconsistent.3 Inconsistencies may in part be because of different relationships of ABI across different populations. It has been suggested that the association of ABI with CVD is only U-shaped in patients with type 2 diabetes mellitus and that a high ABI does not convey excess risk in other individuals.9

The objective of this present study is 2-fold. First, we aim to characterize the group with high ABI compared with the group with ABI within reference limits in terms of their cardiovascular risk factors. Second, we aim to determine whether high ABI (≥1.40) as compared with ABI 0.9–1.40 is associated with an increased incidence of CVD events and all-cause mortality in a high-risk population, in which a majority of patients have clinically manifest CVD. As an additional objective, we wish to study whether this association is similar in subgroups defined by the presence of prevalent CVD and diabetes mellitus.

Materials and Methods

Materials and Methods are available in the online-only Data Supplement. In short, 7542 patients with ABI>0.9 and either prevalent CVD or a high risk for CVD were selected from the Second Manifestations of Arterial Disease (SMART) study. Cox proportional hazards models were fitted assessing the association of high ABI (as compared with ABI 0.9–1.4) with the risk of myocardial infarction (MI), stroke, cardiovascular death, the combined outcome of these 3, and total mortality (median follow-up 6.9 years).

Results

Baseline Characteristics

Of 7542 included patients, 7203 (95.5%) had ABIs within reference limits and 339 (4.5%) had high ABI (≥1.40 or incompressible; Figure). Patients with high ABI were older (average 58.8 versus 55.4 years) and more often male (86%) compared with those with ABIs within reference limits (66%). Other characteristics are described in Table 1.

Table 1. Baseline Characteristics

CharacteristicTotal, n=7542ABI 0.90–1.40, n=7203ABI>1.40, n=339
Sex (% male)67% (n=5041)66% (n=4750)86% (n=291)
Age, y55.6 (12.4)55.4 (12.5)58.8 (10.7)
Smoking (ever)70% (5272)71% (5057)63% (215)
Smoking (current)25% (1910)26% (1871)12% (39)
Pack years9.1 (0.0–25.2)9.1 (0.0–25.2)4.7 (0.0–17.1)
Physical activity (METs h/wk)37.8 (18.2–65.7)37.8 (18.0–65.5)38.9 (19.7–69.7)
Systolic blood pressure, mm Hg141.0 (21.4)140.8 (21.4)143.3 (22.4)
Diastolic blood pressure, mm Hg83.8 (12.7)83.8 (12.7)84.8 (13.4)
Body mass index, kg/m227.1 (4.4)27.1 (4.4)27.8 (4.7)
Total cholesterol, mmol/L5.1 (1.4)5.1 (1.4)4.8 (1.3)
LDL cholesterol, mmol/L3.1 (1.2)3.1 (1.2)2.8 (1.2)
HDL cholesterol, mmol/L1.3 (0.4)1.3 (0.4)1.2 (0.3)
Non-HDL cholesterol, mmol/L3.9 (1.4)3.9 (1.4)3.6 (1.3)
Triglycerides, mmol/L1.4 (1.0–2.0)1.4 (1.0–2.0)1.4 (1.0–2.0)
MDRD eGFR, mL/min78.8 (17.9)78.9 (18.0)76.5 (16.8)
eGFR <60 mL/min (KDOQI stage ≥3)12% (903)12% (855)14% (48)
Medication use
 Lipid lowering agents57% (n=4314)57% (n=4093)65% (n=221)
 Blood pressure lowering agents70% (n=5254)69% (n=4986)79% (n=268)
 Glucose-lowering agents12% (n=893)12% (n=836)17% (n=57)
 Antithrombotics61% (n=4601)61% (n=4383)64% (n=218)
Hypertension57% (n=4245)57% (n=4044)60% (n=201)
Diabetes mellitus20% (n=1485)19% (n=1391)28% (n=94)
 Type 12% (n=185)2% (n=176)3% (n=9)
 Type 217% (n=1300)17% (n=1215)25% (n=85)
Manifest cardiovascular disease66% (n=4967)66% (n=4723)72% (n=244)
 Coronary heart disease45% (n=3401)45% (n=3212)56% (n=189)
 Cerebrovascular disease21% (n=1614)21% (n=1547)20% (n=67)
 Peripheral artery disease5% (n=357)5% (n=345)4% (n=12)

What does an elevated ankle-brachial index mean?

Figure. Participant flowchart. ABI indicates ankle brachial index; CAD, coronary artery disease; CVD, cardiovascular disease; and PAD, peripheral artery disease.

Determinants of High Ankle Brachial Index

Increasing age and male sex were associated with having high ABI (odds ratio [OR] 10 years 1.26 [95% confidence interval (CI) 1.15–1.39] and 3.00 [95% CI 2.20–4.09], respectively). Diabetes mellitus (OR 1.54 [95% CI 1.21–1.98]) and body mass index (OR 1.04 [95% CI 1.01–1.06]) were associated with high ABI at baseline after age and sex adjustment. Risk factors significantly associated with having ABIs within reference limits were a higher non-HDL cholesterol (OR 0.89/mmol/L [95% CI 0.82–0.98]) and smoking (former versus never OR 0.70 [95% CI 0.55–0.90], current versus never OR 0.32 [95% CI 0.22–0.46]). The other characteristics studied (hypertension, systolic blood pressure, pulse pressure, estimated glomerular filtration rate, Kidney Disease Outcomes Quality Initiative category, and physical activity) were not associated with high ABI at baseline (Table 2). Adjustment for medical treatment with lipid-lowering drugs or blood pressure–lowering drugs did not alter the results of non-HDL cholesterol and systolic blood pressure, respectively.

Table 2. Association Between Risk Factors and High Ankle Brachial Index in Patients With An Ankle Brachial Index ≥0.9

Determinant (Predictor) of the ModelOR (95% CI) for Having High ABIP Value
Age (per 10 y)1.26 (1.15–1.39)<0.001
Sex (male)3.00 (2.20–4.09)<0.001
Diabetes mellitus (type 1 or 2)1.54 (1.21–1.98)<0.001
BMI (per 1 kg/m2)1.04 (1.01–1.06)0.004
Non-HDL cholesterol (per 1 mmol/L)0.89 (0.82–0.98)0.014
History of hypertension (treated)1.20 (0.96–1.49)0.111
Hypertension (treated or measured)1.16 (0.93–1.46)0.184
SBP (per 10 mm Hg)1.04 (0.99–1.10)0.110
Pulse pressure (per 10 mm Hg)1.02 (0.95–1.10)0.590
eGFR (per 10 mL/min)0.95 (0.88–1.02)0.147
Renal insufficiency (eGFR <60 mL/min)1.16 (0.84–1.61)0.375
Smoking (former versus never)0.70 (0.55–0.90)0.005
Smoking (current versus never)0.32 (0.22–0.46)<0.001
Physical activity (per 10 METs h/wk)1.01 (0.98–1.03)0.635

Association Between High Ankle Brachial Index and Cardiovascular Events and Mortality

During a median follow-up of 6.9 (interquartile range 3.7–10.2) years, 292 patients had an MI, 216 patients had a stroke, and 680 patients died, 302 of whom from a vascular cause. We counted 694 cases for our compound outcome, with incidences of 13.2 (95% CI 12.4–14.0)/1000 person years and 19.0 (95% CI 13.4–24.7)/1000 person years in the reference ABI group and the high ABI group, respectively. The associations between high ABI and our studied outcomes are provided in Table 3. With age and sex adjustment, only the model for MI showed significant associations. After multivariable adjustment, high ABI remained associated with a higher risk for MI (1.83 [95% CI 1.22–2.75]). Results did not change when adjusting for coronary heart disease instead of CVD history. No associations were found for any of the other outcomes. In the sensitivity analysis excluding patients with peripheral artery disease, the association of high ABI with the compound outcome did not change (hazard ratio [HR] 1.22 [95% CI 0.89–1.66] versus 1.24 [95% CI 0.91–1.68] for the full cohort).

Table 3. The Associations Between High ABI and Our Studied Outcomes

ModelCompound Outcome, 694 Events (44 High ABI)MI, 292 Events (26 High ABI)Stroke, 216 Events (9 High ABI)CVD Mortality, 302 Events (18 High ABI)All-Cause Mortality, 680 Events (34 High ABI)
HR (95% CI)P ValueHR (95% CI)P ValueHR (95% CI)P ValueHR (95% CI)P ValueHR (95% CI)P Value
Age/sex adjusted1.17 (0.86–1.59)0.3091.76 (1.18–2.65)0.0060.77 (0.39–1.50)0.4351.05 (0.65–1.70)0.8310.88 (0.62–1.24)0.466
Multivariable 1*1.28 (0.94–1.74)0.1161.89 (1.26–2.84)0.0020.86 (0.44–1.69)0.6671.20 (0.74–1.94)0.4660.98 (0.69–1.38)0.897
Multivariable 2†1.24 (0.91–1.68)0.1791.83 (1.22–2.75)0.0040.86 (0.44–1.69)0.6661.14 (0.70–1.85)0.5950.95 (0.67–1.34)0.761

In our stratified analyses, we observed that high ABI tended to be a stronger risk factor for the compound cardiovascular outcome in patients with diabetes mellitus, although HRs were not statistically significant, and neither was the interaction term (Table 4). Similarly, high ABI tended to be a stronger risk factor for the compound cardiovascular outcome in patients with prevalent CVD but without statistical significance. For myocardial infarction, high ABI was associated with higher risk in patients with diabetes mellitus (HR 2.44 [95% CI 1.26–4.73]) and in patients with prevalent CVD at baseline (HR 1.98 [95% CI 1.28–3.07]), but not in patients without diabetes mellitus (HR 1.54 [95% CI 0.91–2.62]) and patients without prevalent CVD at baseline (HR 1.04 [95% CI 0.32–3.40]), although the interaction terms did not reach statistical significance.

Table 4. Multivariable Adjusted Associations of High ABI With Cardiovascular Disease, Stratified by Diabetes and Prevalent CVD at Baseline

What does an elevated ankle-brachial index mean?

Discussion

In the present study in a population at high risk of CVD, age, male sex, high body mass index, and diabetes mellitus were associated with higher prevalence of high ABI, whereas smoking and higher non-HDL cholesterol were associated with a lower prevalence of high ABI. High ABI was associated with increased incidence of incident MI after multivariable adjustment, but not with stroke, vascular, or all-cause mortality, or the compound outcome, when compared with ABIs within reference limits. We found that a significant association existed between high ABI and MI among patients with diabetes mellitus that was not present in others, but no significant interaction by diabetes mellitus status was seen.

The risk factor profile we found might not be expected when considering high ABI as a marker of cardiovascular risk equivalent to low ABI. A lower rate of current or former smoking and dyslipidemia in people with high ABI have been previously reported.4,5,12,13 One previous study reported a lower prevalence of current smoking, as well as male sex and high body mass index, to be associated with progressing into high ABI,14 which is in line with our cross-sectional findings and suggests they might be real associations, not just epiphenomena induced by our cross-sectional design.

An explanation for lower rates of smoking among people with high ABI might be found in the association of risk factors with medial arterial calcification. Medial arterial calcification, a type of calcification that occurs in the middle layers of arteries, is reported to be associated with age, diabetes mellitus, and renal disease and also with lower rates of smoking.15,16 High ABIs are generally believed to arise because of medial arterial calcification.3 In that sense, our results are in line with previous studies on medial arterial calcification. However, only one study in patients with type I diabetes mellitus has assessed the relationship between high ABI and medial arterial calcification17 and found a strong relation between high ABI and medial arterial calcification.

We found a clear association of high ABI with incident MI even after adjusting for risk factors, whereas we did not find an association with any of the other outcomes. For the compound CVD outcome, only the crude association was significant, indicating that the risk factors may fully explain the crude association. Otherwise, there could be a lack of power to show a relatively small effect size. We did not find any association with stroke or mortality. Several other prospective studies have reported associations with total and cardiovascular mortality and combined cardiovascular events,7,13,18–20 with substantially larger adjusted effect sizes than ours. Although different populations have been studied and this may underlie certain differences, a mechanistic explanation is not evident. To our knowledge, we are the first to study the relationship of high ABI with stroke as a separate outcome prospectively.

For the relationship of high ABI with increased risk of MI, a causal pathway has been postulated. A study has shown that high ABI is associated with larger left ventricle mass, an association that was not attenuated with adjustment for risk factors or subclinical atherosclerosis measurements.8 It is proposed that high ABI is a marker for arterial stiffness, which contributes to chronic increased left ventricle after-load.8 With pathological left ventricular hypertrophy, structural remodeling takes place, resulting in reduced coronary flow reserve, among other consequences.21 For other outcomes, a causal pathway is less obvious.

Two studies have previously addressed the question of whether the relationship between high ABI and CVD differs between persons with and without diabetes mellitus,9,22 a disease state associated with increased arterial stiffness and with medial arterial calcification.23 The first study showed significant interaction by diabetes mellitus status, but it only had 2 participants without diabetes mellitus with an ABI>1.30, so the association with cardiovascular mortality (their main outcome) in nondiabetic patients could not be reliably derived.9 The second study, however, showed significant associations with all-cause and cardiovascular mortality among patients with diabetes mellitus and a lack thereof in patients without diabetes mellitus, but without showing a significant interaction.22 This is similar to what we found when stratifying our myocardial infarction analysis by diabetes mellitus status. Although the evidence does not warrant a conclusion that the relationship truly is different in diabetes mellitus patients, the effect size estimates have so far been higher among patients with diabetes mellitus.9,22 It is hypothesized that in patients with diabetes mellitus, high ABI co-occurs with a heavy burden of risk factors more frequently and that despite adjustment for risk factors, (residual) confounding might explain the stronger relationships.5,9,22 Future studies could compare patients with type 1 and type 2 diabetes mellitus because patients with type 1 diabetes mellitus typically have much less co-occurring risk factors. If patients with type 1 diabetes mellitus are found to have a similar high ABI–CVD relation, it is unlikely that the stronger association among patients with diabetes mellitus is purely as a result of the higher co-existence of other risk factors.

Additional studies are needed to shed light on whether a high ABI is mainly a marker of a generally advanced stage of atherosclerosis or whether high ABI represents arterial stiffness that is detrimental in itself. Other measures of arterial stiffness, such as pulse wave velocity, are associated with a range of detrimental outcomes.24 Future studies should aim to verify the reported relationship of high ABI with medial arterial calcification and expand our knowledge of the relationships between diabetes mellitus, medial arterial calcification, arterial stiffness, and outcomes.

Strengths of this study include its large sample size and high event rate, the comprehensive risk factor information, completeness of data, and rigorous methods of follow-up and outcome assessment. Also, our population consisted mainly of patients with prevalent CVD, in contrast to the populations that have previously been studied, which consisted mainly of patients without clinical CVD or patients visiting a vascular laboratory or at high risk for peripheral artery disease.7,9,18,19 Limitations include the cross-sectional nature of the studied associations of risk factors with ABI and the small size of some of the subgroups, which, in combination with the low number of patients on the high end of the ABI distribution, may have resulted in insufficient power to show an interaction. It is not known how the co-occurrence of the pathologies of medial calcification and atherosclerosis in one patient influences the ABI. Although no data is available to support this, it is possible that the co-occurrence might sometimes result in an ABI between 0.9 and 1.4. On the other hand, when there is obstructive disease and considerable medial calcification at the same time, the result might still be an incompressible artery. Unfortunately, our data does not allow us to disentangle these effects. Finally, our population is a selected population consisting of a mix of primary prevention (high-risk) and secondary prevention patients. This limits the generalizability of our findings. Also, selection potentially induces a risk of selection bias when looking at risk factor associations with high ABI. This should be taken into account when interpreting our findings. Our stratified analyses provide some insight in the potential differences in the associations of high ABI with events between high-risk and prevalent disease patients.

Conclusions

In this cohort study of patients with a high risk for CVD, we found that high ABI (≥1.4) was associated with incident MI but not with (cardiovascular) mortality when compared with an ABI within reference limits (0.9–1.4). We found higher age, male sex, higher body mass index, diabetes mellitus, lower non-HDL cholesterol, and a lower prevalence of smoking to be associated with high ABI.

ABI

ankle brachial index

95% CI

95% confidence interval

CVD

cardiovascular disease

HR

hazard ratio

MI

myocardial infarction

OR

odds ratio

Acknowledgments

We gratefully acknowledge the contribution of the SMART research nurses; R. van Petersen (data-manager); B.G.F. Dinther (vascular manager); and the participants of the SMART Study Group: A. Algra, MD, PhD; Y. van der Graaf, MD, PhD; D.E. Grobbee, MD, PhD; G.E.H.M. Rutten, MD, PhD, Julius Center for Health Sciences and Primary care; F.L.J. Visseren, MD, PhD, Department of Internal Medicine; G.J. de Borst, MD, PhD, Department of Vascular Surgery; L.J. Kappelle, MD, PhD, Department of Neurology; T. Leiner, MD, PhD, Department of Radiology; P.A. Doevendans, MD, PhD, Department of Cardiology.

Footnotes

References

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High ankle brachial index (ABI) and incompressible ankle arteries are generally believed to arise as a result of medial arterial calcification and may be a marker for vascular stiffness. The high ABI patient group remains poorly characterized, and the risks associated with high ABI remain poorly understood. We were the first to study the risks associated with high ABI (≥1.4 or incompressible arteries versus ABI 0.9–1.4) in a high-risk and secondary prevention population. We found that the presence of high ABI was independently associated with an increased risk for myocardial infarction, but not with stroke, all-cause, or vascular mortality. High ABI should be considered a risk factor for myocardial infarction.