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Ankle-brachial index and the incidence of cardiovascular events in the Mediterranean low cardiovascular risk population ARTPER cohort

  • Maria Teresa Alzamora1, 2Email author,
  • Rosa Forés1, 2,
  • Guillem Pera2,
  • Pere Torán2,
  • Antonio Heras1, 2,
  • Marta Sorribes3,
  • Jose Miguel Baena-Diez4, 5,
  • Magalí Urrea2,
  • Judit Alegre1,
  • María Viozquez6 and
  • Carme Vela1
BMC Cardiovascular Disorders201313:119

DOI: 10.1186/1471-2261-13-119

Received: 2 August 2013

Accepted: 10 December 2013

Published: 17 December 2013

Abstract

Background

Peripheral arterial disease (PAD) of the lower limbs is a cardiovascular disease highly prevalent particularly in the asymptomatic form. Its prevalence starts to be a concern in low coronary risk countries like Spain. Few studies have analyzed the relationship between ankle-brachial index (ABI) and cardiovascular morbi-mortality in low cardiovascular risk countries like Spain where we observe significant low incidence of ischemic heart diseases together with high prevalence of cardiovascular risk factors. The objective of this study is to determine the relationship between pathological ABI and incidence of cardiovascular events (coronary disease, cerebrovascular disease, symptomatic aneurism of abdominal aorta, vascular surgery) and death in the >49 year population-based cohort in Spain (ARTPER).

Methods

Baseline ABI was measured in 3,786 randomly selected patients from 28 Primary Health Centers in Barcelona, distributed as: ABI<0.9 peripheral arterial disease (PAD), ABI ≥1.4 arterial calcification (AC), ABI 0.9-1.4 healthy; and followed during 4 years.

Results

3,307 subjects were included after excluding those with previous vascular events. Subjects with abnormal ABI were older with higher proportion of men, smokers and diabetics. 260 people presented cardiovascular events (incidence 2,117/100,000 person-years) and 124 died from any cause (incidence 978/100,000 person-years). PAD had two-fold greater risk of coronary disease (adjusted hazard ratio (HR) = 2.0, 95% confidence interval (CI) 1.3-3.2) and increased risk of vascular surgery (HR = 5.6, 95%CI 2.8-11.5) and mortality (HR = 1.8, 95%CI 1.4-2.5). AC increased twice risk of cerebrovascular events (HR = 1.9, 95%CI 1.0-3.5) with no relationship with ischemic heart disease.

Conclusions

PAD increases coronary disease risk and AC cerebrovascular disease risk in low cardiovascular risk Mediterranean population. ABI could be a useful tool to detect patients at risk in Primary Health Care.

Keywords

Peripheral arterial disease Ankle-brachial index Cardiovascular diseases Incidence Primary health care Cohort studies

Background

Prevention and early diagnosis of arteriosclerotic disease is one of the essential objectives in the field of cardiovascular disease since it is the main cause of mortality in developed countries. In Spain, cardiovascular diseases are the first cause of death, producing 32% of all deaths. Ischemic heart disease causes the greatest number of cardiovascular deaths (29%) followed by cerebrovascular disease (25%) [1].

Peripheral arterial disease (PAD) of the lower limbs is a cardiovascular disease highly prevalent particularly in the asymptomatic form. Its prevalence starts to be a concern in low coronary risk countries like Spain. Three different groups have studied it using the ankle-brachial index (ABI) with similar methodology. They have found PAD prevalence between 3.7% and 7.6% [25].

It is important to note that most of the PAD cases remain undiagnosed even with the presence of intermittent claudication symptoms [6]. On the other hand arterial calcification (AC), defined as ABI ≥1.4, has a prevalence of 6.2% in our country in the population > 49 years of age [7].

PAD is associated to high cardiovascular risk, in both symptomatic and asymptomatic forms. Several studies have found high incidence of cardiovascular events and mortality in patients with PAD. The MESA Study, carried out in the USA, observed a hazard ratio (HR) 1.8 to develop cardiovascular morbi-mortality in patients with PAD [8]. Ankle Brachial Index Collaboration metanalysis showed that patients with PAD had in ten years between 2 and 4 times higher risk to die or to present major cardiovascular events than patients with no PAD [9].

Although the relationship between AC and morbi-mortality has been less studied it seems to have a positive association. Ankle Brachial Index Collaboration metanalysis [9] found a moderate association with HR between 0.9 and 1.5 whereas the MESA Study observed HR 1.8 to suffer a cardiovascular event or dead in patients with AC compared with healthy patients [8].

Few studies have analyzed the relationship between ABI and cardiovascular morbi-mortality in low cardiovascular risk countries like Spain where we observe significant low incidence of ischemic heart diseases together with high prevalence of cardiovascular risk factors [1012]. Carbayo et al. obtained HR 1.7 for cardiovascular events or death in patients with PAD with no history of previous episodes [13]. Moreover, Merino et al. showed that PAD increased the risk to suffer a major coronary episode only including men in the study regardless of previous events [14].

The objective of this study is to determine the relationship between pathological ABI and incidence of cardiovascular events (coronary disease, cerebrovascular disease, symptomatic aneurism of abdominal aorta, vascular surgery) and death in the > 49 year population-based cohort in Spain (ARTPER) [7]. Once it is confirmed an association of PAD and/or AC to increased incidence of cardiovascular events in a low cardiovascular risk country as Spain then ABI can be recommended as a simple, fast and inexpensive tool in the Primary Health Care setting to detect patients at risk.

Methods

The ARTPER Study is an ongoing prospective observational population-based cohort study initiated in October 2006. A detailed description of the methodology of the study has been published elsewhere [15].

Briefly, at baseline ABI was measured in 3,786 randomly selected patients over the age of 49 years registered in 28 Primary Health Care centers of Barcelona region from a database including the population ascribed in the participating centers, which is even more exhaustive and updated than the census. All the subjects entered in one of the following cohorts: ABI < 0.9 peripheral arterial disease, ABI ≥ 1.4 arterial calcification, ABI between 0.9 and 1.4 healthy. An average of 4-year follow up was carried out, with phone contacts undertaken every 6 months from baseline to August 2012.

End points

The appearance of any of the events: myocardial infarction, angina, stroke, transient ischemic attack, symptomatic aneurysm of abdominal aorta, vascular surgery (coronary, intracranial and extracranial); and vascular and overall mortality were recorded through electronic medical records, computerized clinical history, telephone interviews with the subject or with a relative, personal or telephone interview with the general practitioner in charge of the patient, the emergency departments and emergency paramedical services, and the mortality statistical records. Finally, all the events have been checked by a medical committee whose members perform routine clinical practice.

Incidence events have been grouped as follows: coronary disease (acute myocardial infarction or angina), cerebrovascular disease (stroke or transient ischemic attack), symptomatic aneurysm of the abdominal aorta (SAAA), vascular surgery, cardiovascular morbidity (any of the 4 previous ones), mortality (vascular or non-vascular cause), overall mortality and morbid-mortality (any of the mentioned events). It was only taken into account the first episode for each type of event. Any patient that had an event at the time of recruiting or a history of an event was excluded from the analysis.

Statistical analysis

PAD and AC patient baseline profiles were separately compared to healthy patients using Chi-square test. Incidence was calculated as the number of observed events per 100,000 person-year (py), calculating Poisson 95% confidence interval (CI). Incidence of every event was associated to each of the three cohorts by means of Cox proportional hazard models, “healthy” was the reference category. Univariate associations were investigated first, and then multivariable models were carried out, adjusting by age, gender, smoking (ever = current + former), abdominal and general obesity, hypertension, hypercholesterolemia and diabetes, calculating HR and 95% CI. For each event of the study, likelihood ratio tests were used to assess the interaction of PAD (or AC) with the adjusting variables listed above. Age, abdominal and general obesity were used as continuous in Cox and interaction models. Kaplan-Meier survival function curves were done, comparing survival rates per event among the cohorts by log-rank test. A p-value less than 0.05 was considered statistically significant. Statistical analysis was performed with Stata 12.1 (StataCorp LP) software.

Ethics

This study was approved by the local Ethics Committee (IDIAP Jordi Gol Foundation of Investigation in Primary Care and Instituto de Salud Carlos III).

Informed written consent was obtained from all the participants. Likewise, the recommendations of the World Medical Association Declaration of Helsinki were followed.

Results

At baseline (2006–2008) 3,786 >49 year old people were enrolled representing 63% participation. Baseline prevalence of PAD and AC was 7.6% and 6.2% respectively [4]. 479 members of the ARTPER cohort previously presented some cardiovascular event and therefore were excluded from the analysis of the study. 3,307 people were enrolled to follow up, 193 (5.8%) had PAD and 198 (6.0%) AC. Demographics of the study population are shown in Table 1. 44% were men. Mean age at enrolment was 64.2 years (standard deviation (SD) 8.7, range 49–97). Patients with PAD or AC were older (6 and 2 years respectively) with higher proportion of men, smokers, hypertensive and diabetics. Patients with AC were more likely to be obese and patients with PAD more likely to present hypercholesterolemia.
Table 1

Baseline variables by ankle-brachial index (ABI)

 

Healthy

PAD

AC

    
 

ABI 0.9-1.4 n = 2916

ABI < 0.9 n = 193

ABI ≥ 1.4 n = 198

Total n = 3307

  

n

%

n

%

N

%

n

%

p *

p

Gender

        

0.001

<0.001

Men

1214

41.6%

105

54.4%

125

63.1%

1444

43.7%

  

Women

1702

58.4%

88

45.6%

73

36.9%

1863

56.3%

  

Age at recruitment

        

<0.001

0.003

49-60

1116

38.3%

38

19.7%

59

29.8%

1213

36.7%

  

60-70

1084

37.2%

52

26.9%

70

35.4%

1206

36.5%

  

70-97

716

24.6%

103

53.4%

69

34.8%

888

26.9%

  

General obesity

        

0.112

<0.001

Underwheight/Average (BMI** < 25 Kg/m2)

516

17.7%

43

22.3%

13

6.6%

572

17.3%

  

Overweight (BMI 25–29.9 Kg/m2)

1337

45.9%

75

38.9%

86

43.4%

1498

45.4%

  

Obese (BMI ≥ 30 Kg/m2)

1059

36.4%

75

38.9%

99

50.0%

1233

37.3%

  

Abdominal obesity (waist circumference)

        

0.448

0.040

<102 cm men / <88 cm women

1144

39.5%

71

36.8%

63

32.1%

1278

38.9%

  

≥102 cm men / ≥88 cm women

1749

60.5%

122

63.2%

133

67.9%

2004

61.1%

  

Smoking

        

<0.001

0.007

Never smoked

1712

58.7%

82

42.5%

97

49.0%

1891

57.2%

  

Ever smoked

1204

41.3%

111

57.5%

101

51.0%

1416

42.8%

  

Co-morbidity (medical records)

          

Hypertension§

1205

41.9%

122

64.2%

101

52.9%

1428

43.9%

<0.001

0.003

Hypercholesterolemia_

1283

45.0%

106

55.8%

95

48.7%

1484

45.9%

0.004

0.317

Diabetes

380

13.0%

55

28.5%

48

24.2%

483

14.6%

<0.001

<0.001

ABI: ankle-brachial index, PAD: peripheral arterial disease, AC: arterial calcification.

Individuals with prevalent events excluded.

*: p-value comparing ABI < 0.9 with ABI 0.9-1.4.

†: p-value comparing ABI ≥ 1.4 with ABI 0.9-1.4.

All comparisons made with chi-squared test.

**: BMI: body mass index.

‡ 0, 23 and 2 missing values among each ABI group.

§ 3, 41 and 7 missing values among each ABI group.

_ 3, 67 and 3 missing values among each ABI group.

3,307 subjects were followed up during an average of 3.83 years (SD 0.73, range 59 days- 5.56 years, median 4.03 years) adding up 12,677 person-years. 260 participants presented cardiovascular events (incidence 2,117/ 100,000 py), among them 140 had coronary disease, 107 cerebrovascular disease, 19 SAAA and 45 vascular surgery. 124 patients died from any cause (incidence 978/ 100,000 py), 29 of them from vascular disease. A total of 347 patients suffered one cardiovascular event and/or died (Table 2). Kaplan-Meier survival curves are shown in Figure 1, being significant worse for PAD in coronary disease, cardiovascular morbidity and mortality and for AC in cerebrovascular disease.
Table 2

Incidence of cardiovascular events among different ankle-brachial index groups

 

Total n = 3307

ABI 0.9-1.4 n = 2916

ABI < 0.9 n = 193

ABI ≥ 1.4 n = 198

 

n

I

CI95%

n

I

CI95%

n

I

CI95%

HR

CI95%

p

n

I

CI95%

HR

CI95%

p

Coronary disease

140

1124

946

1327

105

953

780

1154

27

3808

2510

5541

2.0

1.3

3.2

0.003

8

1100

475

2168

0.8

0.4

1.6

0.522

Cerebrovascular disease

107

853

699

1031

80

723

573

899

14

1895

1036

3180

1.2

0.7

2.3

0.505

13

1783

949

3049

1.9

1.0

3.5

0.051

SAAA*

19

150

90

235

14

125

69

211

4

537

146

1374

3.1

0.9

9.9

0.063

1

135

3

754

0.8

0.1

6.4

0.857

Vascular surgery

45

357

260

478

29

260

174

374

14

1941

1061

3257

5.6

2.8

11.5

<0.001

2

271

33

978

0.9

0.2

3.6

0.831

Cardiovascular morbidity

260

2117

1868

2391

191

1754

1514

2021

48

7104

5238

9418

2.1

1.5

2.9

<0.001

21

2935

1817

4487

1.2

0.7

1.9

0.474

Mortality

124

978

814

1166

95

849

687

1038

20

2657

1623

4104

1.5

0.9

2.4

0.141

9

1216

556

2308

1.0

0.5

2.0

0.947

Vascular

29

229

153

329

19

170

102

265

8

1063

459

2094

2.4

1.0

6.0

0.060

2

270

33

976

1.2

0.3

5.1

0.847

Non vascular

95

749

606

916

76

680

535

851

12

1594

824

2785

1.2

0.6

2.2

0.598

7

945

380

1948

1.0

0.5

2.2

0.947

Morbi-mortality

347

2826

2536

3139

263

2415

2132

2726

59

8731

6647

11263

1.8

1.4

2.5

<0.001

25

3495

3495

5159

1.0

0.7

1.6

0.838

ABI: ankle-brachial index, PAD: peripheral arterial disease, AC: arterial calcification.

*: SAAA: symptomatic aneurysm of the abdominal aorta.

Individuals with prevalent events excluded.

I = incidence per 100,000 person-year.

CI95% = 95% confidence interval of incidence (Poisson distribution) or of hazard ratio (Cox model).

HR = adjusted hazard ratio (reference ABI 0.9-1.4). HR are based on 2,799 healthy, 187 peripheral arterial disease and 189 arterial calcification subjects.

HR are adjusted by age, gender, smoking, central and general obesity, hypertension, hypercholesterolemia and diabetes.

p = p-value of HR different than 1.

https://static-content.springer.com/image/art%3A10.1186%2F1471-2261-13-119/MediaObjects/12872_2013_Article_653_Fig1_HTML.jpg
Figure 1

Kaplan-Meier survival curves for coronary and cerebrovascular diseases, cardiovascular morbidity and mortality among patients with different ankle-brachial index (ABI).

PAD increased two- fold the risk of coronary disease (HR = 2.0, 95% CI 1.3-3.2) and also increased the risk of vascular surgery (HR = 5.6, 95% CI 2.8-11.5), cardiovascular morbidity (HR = 2.1, 95% CI 1.5-2.9) and morbi-mortality (HR = 1.8, 95% CI 1.4-2.5) irrespective of other cardiovascular risk factors. Although not statistically significant PAD also increased the risk to suffer SAAA and vascular mortality. AC increased twice the risk to present cerebrovascular events (HR = 1.9, 95% CI 1.0-3.5) with no relationship with ischemic heart disease (Table 2).

It was observed that the effect of PAD on coronary disease was higher in men, in younger, but lower in abdominal obese, in smokers, in non-hypertensives and in diabetics. When applying interaction test this effect was only statistically significant for hypertension (Figure 2). This pattern was maintained linking PAD with cardiovascular morbidity, now with lower effects for higher body mass index. It was statistically significant the interaction of PAD with gender, hypertension and general and abdominal obese. On the other hand, PAD had a similar effect in cerebrovascular disease for each level of cardiovascular risk factors analyzed, as occurred with overall mortality (these data is not shown).
https://static-content.springer.com/image/art%3A10.1186%2F1471-2261-13-119/MediaObjects/12872_2013_Article_653_Fig2_HTML.jpg
Figure 2

Effect of peripheral arterial disease for coronary disease, measured by hazard ratio (HR), among different potential cardiovascular risk factors.

Higher effect was observed for AC regarding cerebrovascular disease in smokers, hypertensives, diabetics and abdominal (but not general) obese. However in no case the interaction of AC with these risk factors was statistically significant (Figure 3). AC had the same effect over coronary disease, cardiovascular morbidity and mortality across the different levels of the cardiovascular risk factors (data not shown).
https://static-content.springer.com/image/art%3A10.1186%2F1471-2261-13-119/MediaObjects/12872_2013_Article_653_Fig3_HTML.jpg
Figure 3

Effect of arterial calcification for cerebrovascular disease, measured by hazard ratio (HR), among different potential cardiovascular risk factors.

High proportion of PAD patients (70%) presented asymptomatic PAD (133 patients). 56 patients (30%) presented intermittent claudication. 4 had no information. The interaction between PAD and intermittent claudication was not statistically significant to any of the studied events. However, the greatest difference of the PAD effect was found for cardiovascular morbidity. Compared to healthy, those with intermittent claudication had HR = 2.6, 95% CI 1.6-4.2, and those with asymptomatic PAD had HR = 1.7, CI 95% 1.1-2.7.

Discussion

In the low cardiovascular risk cohort ARPER it is confirmed the importance of ABI <0.9 as an independent risk factor to have coronary disease, cardiovascular morbidity and mortality. Meanwhile ABI ≥ 1.4 is an independent risk factor to present a cerebrovascular disease.

In Spain there are no prospective studies that analyze at the same time PAD and AC as predictors of vascular events. The Albacete general population cohort [13] and the Barcelona men cohort [14] only analyzed PAD. They found similar results to our study: HR 1.9 for overall mortality and HR 3.0 for coronary disease respectively.

Our study found that patients with PAD had two-fold the risk to present a coronary event, similar results were obtained in the MESA Study (HR 1.9) [8] and in the 16 cohort ABI Collaboration metanalysis [9], (adjusted HR 2.2 for men and 2.5 for women, defining healthy as those with ABI between 1.11 and 1.40 ).

In our cohort, patients with PAD increased two- fold the risk of cardiovascular morbidity, morbi-mortality and mortality. For mortality, the higher effect was found in vascular mortality, without reaching statistical significance. ABI Collaboration metanalysis found an adjusted HR of PAD on the overall mortality 2.3 in men and 2.4 in women and greater than 3 for cardiovascular mortality [9]. The getABI Study, performed in Primary Health Care setting like the ARTPER study, obtained adjusted HR 2.0 for mortality and 1.9 for morbi-mortality in >65 year old cohort [16].

We did not observe any link between PAD and cerebrovascular disease. Same results were found in the MESA (HR 1.6) [8], ARIC (HR 1.9) [17] and Cardiovascular Health Study (adjusted HR 1.1) [18], although these results were not statistically significant. However, other studies like the German Cohort getABI [19] and the 6-study metanalysis of Heald et al. [20] observed that PAD incremented the risk to suffer cerebrovascular disease (HR of 1.8 and 1.4 respectively). Both studies recruited older patients than ARTPER. In the Heald metanalysis, the studies that found statistically significant effect of PAD on stroke were the ones that enrolled >70 year old patients.

We found association between PAD and vascular surgery and SAAA, the last with no statistical significance. These associations together to the effect observed on the coronary disease could explain the increased incidence of cardiovascular morbidity in patients with PAD. Although few studies have researched the association of PAD with vascular surgery or SAAA, their results are comparable to ours, like the getABI Study (adjusted HR 1.6 for coronary-artery revascularization in patients with PAD) [21].

With regards to AC we found an association between AC and cerebrovascular disease but not with other cardiovascular diseases or mortality. Likewise the MESA Study found greater effect of AC on stroke (HR 2.7) than on coronary disease (HR 2.2) [8]. ABI Collaboration Study obtained a link between overall mortality and AC (HR 1.3) [9], but not with coronary diseases. Whereas Sutton-Tyrrell found a relationship with coronary heart disease (HR 1.5) but not with stroke or mortality in an American cohort of >70 year old, with AC ABI cut-off of >1.3 [22].

The effect of PAD was not homogeneous among the cardiovascular risk factors. PAD seems to have greater effect on coronary disease in men, in <70 year old patients, in overweight with no abdominal obesity, smokers, diabetes, non-hypertension and dyslipidemia. It was only statistically significant the interaction of PAD with hypertension. We obtained comparable results with PAD and cardiovascular morbidity being statistically significant the interaction with gender, age and hypertension. There is scarce information in the literature about this. In our setting it has been studied the effect of PAD on cardiovascular morbidity in diabetics with similar results (HR 2.3) [23]. Nevertheless Hansen et al. did not find any difference of the effect of PAD on mortality between diabetics and non-diabetics [24].

70% of the patients with PAD were asymptomatic. This may delay the diagnosis of the disease and therefore have the risk to suffer a cardiovascular event in the future. However, similarly to the getABI Study [21], we obtained few differences of vascular events in patients with symptomatic PAD and asymptomatic PAD.

As described by other authors, the presence of PAD cannot be excluded in patients with AC because the arterial stiffness impedes a proper ABI measurement. Therefore, in our study the detection of patients with PAD and its effects could be underestimated [25, 26]. In spite of that, both PAD and AC have shown an increase of cardiovascular risk and should be properly taken into account.

Patients with previous history of cardiovascular events were excluded from the study because they received secondary prevention treatment. Although these patients are at higher risk to get sick or to die [27] we preferred to concentrate our results in subjects to whom a primary prevention intervention should be done.

When patients with PAD were recruited we had to start secondary prevention treatment and therefore the effect of PAD on the cardiovascular events could be underestimated. Moreover, subjects may have changed their habits during the follow up period and prompted some misclassification attached to all longitudinal studies. These changes could be analyzed in future evaluations of the ARTPER cohort.

Our data is based on a 4 years follow-up, a period that could be too short to find significant associations between PAD and some of our cardiovascular outcomes or the interaction with other cardiovascular risk factors. However, despite our short follow-up we find relationship between PAD and coronary disease, vascular surgery, cardiovascular morbidity and morbi-mortality and between AC and cerebrovascular events, with significant interactions of PAD with gender, age and hypertension for cardiovascular morbidity.

Conclusions

In conclusion, in the low cardiovascular risk cohort ARTPER it is confirmed the importance of PAD as an independent risk factor to present coronary disease, cardiovascular morbidity and mortality and AC as an independent risk factor to present cerebrovascular disease. The presence or absence of risk factors can modify the effect of PAD on cardiovascular diseases and this should be further studied in the future. The measurement of PAD and AC in the Primary Health Care consultation may detect high cardiovascular risk patients. Even though ABI is a simple and inexpensive instrument it will be important to define the profile of patients that are candidates to have abnormal ABI in order to have a more cost-effective screening tool.

Abbreviations

ABI: 

Ankle-brachial index

PAD: 

Peripheral arterial disease

AC: 

Arterial calcification

HR: 

Hazard ratio

CI: 

Confidence interval

SAAA: 

Symptomatic aneurysm of the abdominal aorta

py: 

Person-year

SD: 

Standard deviation

Declarations

Authors’ Affiliations

(1)
Primary Healthcare Centre Riu Nord-Riu Sud, Institut Català de la Salut
(2)
Unitat de Suport a la Recerca Metropolitana Nord, Institut Universitari d’Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol)
(3)
Primary Healthcare Centre Numància, Institut Català de la Salut
(4)
Primary Healthcare Centre La Marina, Institut Català de la Salut
(5)
Unitat de Suport a la Recerca de l’Àmbit de l’Atenció Primària de Barcelona Ciutat, Institut Universitari d’Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol)
(6)
Primary Healthcare Centre Singuerlín, Institut Català de la Salut

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  28. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2261/13/119/prepub

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