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The British Journal of General Practice logoLink to The British Journal of General Practice
. 2009 May 15;59(563):422–427. doi: 10.3399/bjgp09X420932

Ankle brachial index measurement in primary care: are we doing it right?

Saskia PA Nicolaï 1,2,3,4,5, Lotte M Kruidenier 1,2,3,4,5, Ellen V Rouwet 1,2,3,4,5, Marie-Louise EL Bartelink 1,2,3,4,5, Martin H Prins 1,2,3,4,5, Joep AW Teijink 1,2,3,4,5
PMCID: PMC2688044  PMID: 19520025

Abstract

Background

The reference standard for diagnosing peripheral arterial disease in primary care is the ankle brachial index (ABI). Various methods to measure ankle and brachial blood pressures and to calculate the index are described.

Aim

To compare the ABI measurements performed in primary care with those performed in the vascular laboratory. Furthermore, an inventory was made of methods used to determine the ABI in primary care.

Design of study

Cross-sectional study.

Setting

Primary care practice and outpatient clinic.

Method

Consecutive patients suspected of peripheral arterial disease based on ABI assessment in primary care practices were included. The ABI measurements were repeated in the vascular laboratory. Referring GPs were interviewed about method of measurement and calculation of the index. From each patient the leg with the lower ABI was used for analysis.

Results

Ninety-nine patients of 45 primary care practices with a mean ABI of 0.80 (standard deviation [SD] = 0.27) were included. The mean ABI as measured in the vascular laboratory was 0.82 (SD = 0.26). A Bland–Altman plot demonstrated great variability between ABI measurements in primary care practice and the vascular laboratory. Both method of blood pressure measurements and method of calculating the ABI differed greatly between primary care practices.

Conclusion

This study demonstrates that the ABI is often not correctly determined in primary care practice. This phenomenon seems to be due to inaccurate methods for both blood pressure measurements and calculation of the index. A guideline for determining the ABI with a hand-held Doppler, and a training programme seem necessary.

Keywords: diagnosis, Doppler effect, intermittent claudication, peripheral vascular diseases, ultrasonography

INTRODUCTION

GPs play a key role in the diagnosis and treatment of patients with peripheral arterial disease. As international guidelines recommend, the reference standard for diagnosing peripheral arterial disease in primary care is measurement of the ankle brachial index (ABI). An ABI <0.9 indicates the presence of peripheral arterial disease in symptomatic patients as well as in asymptomatic patients. In addition, an ABI <0.9 reflects the presence of generalised asymptomatic atherosclerotic disease, and its associated increased cardiovascular risk.1 There is an increased use of the ABI in primary care as an effect of the upcoming office-based cardiovascular screening and prevention programmes, since current guidelines recommend to initiate secondary prevention of atherosclerotic disease in all patients with an ABI <0.9.2 Moreover, reimbursement, one of the limitations of incorporating ABI into daily practice,3 was recently introduced in the Netherlands for ABI measurement in primary care.

The ABI is a non-invasive, simple, and inexpensive test with a good diagnostic performance if determined by well-trained professionals.4,5 However, reproducibility of the ABI is dependent on training and experience of the observer, which may be difficult in primary care practice. Moreover, there are various ways to perform the measurement and to calculate the index.69 Arm pressures can be measured at one or two arms, and ankle pressures at the posterior tibial and/or the dorsal pedal artery. In the situation that systolic pressures of two arms or two ankle arteries are measured, the highest, average, or lowest pressure can be used for calculating the index. Theoretically, this results in at least 25 different possible combinations to calculate the ABI.

This study aimed to compare the reported results of ABI measurements performed in primary care with those performed in the vascular laboratory, with attention to the method used for blood pressure measurement and calculation of the index. In addition, an inventory was made of the techniques used and ways to measure and calculate the ABI.

METHOD

All consecutive patients suspected of symptomatic peripheral arterial disease, based on their complaints accompanied with an ABI measurement in primary care practice, who were referred to the researchers' outpatient vascular clinic by their GP were included in this study. All GP practices performing ABI Doppler measurements from the region of the Atrium Medical Center Parkstad, the Netherlands, were eligible for inclusion.

Informed consent was obtained from all patients; all referring GPs were informed about the ongoing study and informed consent was also obtained.

Methods of ABI measurement in the primary care practices were determined by a questionnaire about the resting period prior to blood pressure measurements, method of ankle and brachial systolic blood pressure measurements, numerator and denominator for calculation of the ABI, frequency of ABI assessment, and specialised training. Questionnaires were administered after inclusion of the patients.

In all patients the ABI measurement was repeated in the vascular laboratory within a short period of time, varying between 1 and 4 weeks. Following a 15-minute resting period, systolic blood pressures in the brachial, dorsal pedal, and posterior tibial arteries were determined in a supine position, with a hand-held pocket Doppler device (Doppler MD2, 8MHz, Huntleigh Healthcare, Cardiff, UK), by a trained vascular technician blinded for the primary care ABI. Brachial and ankle pressures were measured with 10 cm-wide sphygmomanometer cuffs, which were manually inflated and deflated. The first audible signal of the first ventricular systole was used to identify the systolic blood pressure at each location. Brachial pressures were measured bilaterally and were repeated if the difference was >10 mmHg between the two arms. Ankle pressures were determined with cuffs placed proximal to the malleoli. For each leg, the ABI was calculated by dividing the highest systolic ankle pressure (either posterior tibial or dorsal pedal) by the highest systolic pressure of both arms.7 The lower ABI of both legs of each patient was used for further analysis.

How this fits in

The reference standard for diagnosing peripheral arterial disease in primary care is measurement of the ankle brachial index (ABI). This study demonstrates that there is great variability between ABI measurements within primary care practice as well as the vascular laboratory. Both method of blood pressure measurements and method of calculating the ABI differed greatly between primary care practices. A guideline for determining the ABI with a hand-held Doppler, and a training programme seem necessary.

Analysis

A Bland–Altman plot is used to compare two clinical measurement techniques that each provide some error, that is, where there is no gold standard that provides the exact information.10 The Bland–Altman plot is therefore used to visualise agreement between two measurement techniques. Because the true value is not known, on the horizontal axis the mean of both measurements is presented. On the vertical axis the difference between the two measurements is presented. A Bland–Altman plot explores a possible relationship between the measurement error and the true value, for example in this study a lack of agreement between the two methods with the lower or the higher ABIs can be visualised with this plot. To assess if there was a dependency of the difference between the two measurements on the average of the measurements, univariate linear regression analysis was used. Another way to demonstrate variability between the two ABI measurements is by means of the coefficient of variation. To this end, the average of and the difference between the two ABI measurements were calculated for each patient. The coefficient of variation for the study population was calculated as the standard deviation of the differences between the two ABI measurements divided by the mean of the averages. Then, the coefficient of variation was quoted as percentage. A coefficient of variation of <10% to 15% is generally regarded as acceptable for clinical tests. Univariate linear regression analysis was performed to assess the dependency of who performed the measurements in primary care and the frequency of ABI measurements in primary care on the accuracy of the readings. In addition, a cross-tabulation was made using an ABI <0.9 and an ABI ≥ 0.9 as measured in primary care and in the vascular laboratory. The κ and its 95% confidence interval (CI) were calculated. Statistical analysis was performed with SPSS (version 15.0 for Windows).

RESULTS

The vascular surgical department of the Atrium Medical Center Parkstad is a referral centre for approximately 140 GPs. Ninety-nine patients were referred by 61 different GPs from 46 primary care practices. Each GP referred a mean of 1.6 patients (standard deviation [SD] = 0.98). The mean ABI measured in the primary care setting was 0.80 (SD = 0.27, 95% CI = 0.75 to 0.86) and in the vascular laboratory 0.82 (SD = 0.26, 95% CI = 0.76 to 0.87). The mean difference between the two measurements was 0.02 (SD = 0.24, 95% CI = −0.06 to 0.03; P = 0.528). Agreement between the ABI measurement in primary care and the ABI measurement performed in the vascular laboratory was visualised in a Bland–Altman plot (Figure 1). This plot depicts the difference between the measurement in primary care and the measurement in the vascular laboratory for each leg in relation to the average ABI as determined by the two measurements. Furthermore, the ‘limits of agreement’, which are expressed as ±2SD are given in the figure. In this study these intervals are wide (SD 0.24), reflecting the great variation of the differences.10 Linear regression failed to show a relation for the difference of the measurements to the average of the measurements, indicating that the accuracy of the measurements is equal for all the ABI measurements (high and low). The coefficient of variation between both measurements was 29.6%, meaning that there is considerable variation between the measurement in primary care and that in the vascular laboratory.

Figure 1.

Figure 1

Average ankle brachial index (ABI) as determined by the two measurements across the difference between the ABI measurement in primary care practice and the measurement in the vascular laboratory (SD = standard deviation).

The Bland–Altman plot implies that neither measurement counts as a ‘gold standard’. However, to demonstrate the clinical relevance of the discrepancy in ABI measurements between primary practice and the vascular laboratory, the data were also presented in a cross-tabulation, classifying the results of the ABI measurement as normal (≥0.9) or abnormal (<0.9) (Table 1). The agreement between primary care and the vascular laboratory was 0.41 (κ, 95% CI = 0.22 to 0.59), indicating a poor agreement beyond change. In 19 out of 66 patients referred with an ABI measurement <0.9 in primary care practice, the ABI measurement was ≥0.9 in the vascular laboratory. Assuming the vascular laboratory reading to be the gold standard, in these patients the diagnosis of peripheral arterial disease was rejected.

Table 1.

Cross-tabulation of the ABI measurements in primary care and in the vascular laboratory.

Vascular laboratory

ABI <0.9 ABI ≥0.9
Primary care
 ABI <0.9 47 19
 ABI ≥0.9 9 24

Methods of ABI determination in primary care practices

The method of ABI measurement was evaluated by telephone questionnaire. Forty-five out of 46 practices participated. ABI was determined by GPs in eight practices, and by a non-doctor in 37 practices. In 26 practices, the professional had followed a structured training for ABI assessment. Linear regression did not show a difference in accuracy of ABI measurement between GPs and non-doctors (P = 0.213). Furthermore, linear regression analysis did not reveal a difference between primary care practices performing an ABI measurement more or less than once a week (P = 0.524). The questionnaire showed that 34 out of 45 primary care practices planned a period of rest before the measurement was started. (Table 2). This period of rest varied between 5 and 20 minutes (mean 8.9 minutes, SD 4.2 minutes). In 41 primary care practices, bilateral systolic blood pressure of the arms was performed, and in the majority (28 practices) this was performed with a pocket Doppler device and a sphygmomanometer cuff. In the other cases, the systolic blood pressure was measured with a stethoscope and a sphygmomanometer (16 practices) or an oscillometric automatic device (one practice). In 23 practices, the systolic blood pressures of the dorsal pedal and the posterior tibial artery were determined in all patients, independent of their complaints. In the remaining 22 practices, the systolic blood pressure of one pedal artery was investigated — this was the tibial posterior or dorsal pedal artery in 15 and six practices, respectively. Eight different methods were used for calculation of the ABI in primary care practices. In primary care practices measuring the systolic blood pressure in two pedal arteries, the majority divided the highest ankle pressure by the highest arm pressure. However, other calculations used the mean of both ankle pressures and divided the right ankle pressure by the right arm pressure, and the left ankle pressure by the left arm pressure. Eight out of 45 primary care practices measured and calculated the ABI according to the method used in the vascular laboratory.

Table 2.

Methods used in primary care practice to measure ankle and brachial blood pressures.

Part of ABI method Primary care practices, (n = 45), n (%)
Resting period
 ≥10 minutes 21 (47)
 <10 minutes 13 (29)
 No rest 10 (22)

Brachial systolic pressure
 Both arms 41 (91)
 One arm 4 (9)

Device for blood pressure measurement
 Doppler device 28 (62)
 Korotkoff method 16 (36)
 Automatic device 1 (2)

Ankle systolic pressure
 Dorsal pedal and posterior tibial artery 23 (51)
 Posterior tibial artery 15 (33)
 Dorsal pedal artery 6 (13)
 One unknown artery 1 (2)

DISCUSSION

Summary of main findings

This study shows that, overall, ABI measurements are comparable between primary care practices and the vascular laboratory. However, for the individual patient the ABI as assessed in the GP's office may vary significantly from that assessed in the vascular laboratory. This may be related to the method of ankle and brachial blood pressure measurements as well as the calculation of the index.

Strengths and limitations of the study

In this study, blood pressure measurements were performed using a hand-held pocket Doppler device. The pocket Doppler is a relatively cheap and easy to use device with a good inter- and intra-observer variability for ABI assessment, at least in trained operators.4,11,12 It has been shown that the reproducibility of ABI assessment by pocket Doppler may be dependent on the level of experience of the operator.4,5 The most important limitations to incorporating ABI measurements in primary care are time constraints, while an ABI measurement takes 12–15 minutes,3,13 reimbursement, and staff availability.3

Furthermore, in patients with peripheral arterial disease, there is variability in ABI measurements that is attributable to biological factors and can differ between days. Baker et al showed that the ABI must change by at least 0.15 before this can be considered significant.14 In this study, the second measurement was performed 1–4 weeks later than the measurement in primary care, which could at least partially explain the variability found between the measurements in primary care and in the vascular laboratory.

All patients included in this study were referred to the vascular laboratory for evaluation of suspected symptomatic peripheral arterial disease. Since the national guideline suggests that GPs can initiate treatment of patients with intermittent claudication by exercise therapy and cardiovascular risk management,15 it is not possible to say how many patients from these primary care practices were not referred to the vascular laboratory for an additional ABI measurement. Although it would be informative to investigate the number of missed diagnoses, the aim of the current study was to investigate the difference in ABI measurement as determined in primary care practice and in the vascular laboratory, not to assess patient outcome based on ABI measurement in primary care practice.

It is possible that the results of this study cannot be directly translated to the ‘healthy’ screening population in general practice. However, this should not influence the method used to determine and calculate the ABI in primary care.

Comparison with existing literature

In this study, great variability is demonstrated between the ABI measurement in primary care and in the vascular laboratory. Another recent study shows that ABI measurements by GPs and nurses are highly reproducible.16 However, reproducibility of the ABI is dependent on the experience of the observer,4,5,17 and in the aforementioned study a limited number of selected GPs received specialised training before starting the study. This seems not to reflect the current situation in primary care.

National and international guidelines recommend the use of the ABI in routine screening for atherosclerosis.2,7 Substantial prevalence rates of asymptomatic peripheral arterial disease in the older population in primary care, with at least one vascular risk factor, were found.1820 A recent meta-analysis showed that a low ABI in a healthy screening population was associated with approximately twice the 10-year total mortality, cardiovascular mortality, and major coronary events.1 Current guidelines recommend initiation of secondary prevention of atherosclerotic disease in all patients with an ABI <0.9.2 Given the importance of the ABI in the initial diagnosis of peripheral arterial disease, and as a predictor of cardiovascular morbidity and mortality in general, accurate determination of the ABI is crucial for determining the cardiovascular risk profile and successful cardiovascular risk factor management.

Surprisingly, however, these guidelines do not provide step-by-step information about the correct method of ABI assessment.2,7,15 Moreover, different modes of determination and calculation of the ABI are used and advised.6,8 Klein and Hage found 39 different ways to calculate the ABI.8 A recently published literature analysis that evaluated the methodology of ABI determination in 100 random publications demonstrated great variability with respect to the methods of ankle and brachial blood pressure measurements as well as calculation of the index.8 This large variety in calculation of the ABI can result in different reports of peripheral arterial disease prevalence.21,22

Recently in the literature, attention has been paid to alternative methods to detect or exclude patients with peripheral arterial disease. However, the Edinburgh Claudication Questionnaire has an inadequate diagnostic value for detecting patients with peripheral arterial disease.23 Furthermore, pulse palpation has been shown by some authors to not be sensitive to detection of peripheral arterial disease;24,25 however, another study has suggested it is possible to exclude peripheral arterial disease by pulse palpation.26 Easier methods to measure the ABI are also described in the literature; however, results concerning the reliability of automated oscillometry to facilitate ABI measurement in clinical practice are contradictory.25,2729

Implications for further research and clinical practice

This study demonstrates that the ABI is often not correctly determined in primary care practice. This phenomenon seems to be due to inaccurate methods for both ankle and brachial blood pressure measurements and calculation of the index. A clear step-by-step guideline for determining the ABI with a hand-held Doppler, and a training programme seem necessary.

Acknowledgments

We would like to thank the vascular technicians who performed the ankle brachial index measurements in the vascular laboratory.

Ethical approval

The study was approved by the medical ethical committee of the Atrium Medical Center Parkstad

Competing interests

The authors have stated that there are none

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