Skip to main content

Incidence of peripheral arterial disease in the ARTPER population cohort after 5 years of follow-up



To know the epidemiology (prevalence, incidence, progression and morbidity and mortality associated) of peripheral artery disease in general population and the factors associated with this progression is essential to know the evolution of atherosclerosis and develop preventive strategies. The aim of the study was to determine the incidence of PAD after 5 years of follow-up population-based cohort ARTPER, and the evolution of Ankle brachial Index (ABI) in this period.


Peripheral artery disease incidence analysis after 5 years of follow-up of 3786 subjects > 50 years old. Peripheral artery disease incident when the second cross section Ankle brachial Index was <0.9 in any of the lower limbs, with normal baseline (0.9 to 1.4).


Between 2012 and 2013 2762 individuals (77 % participation) were re-examined . Finally analyzed 2256 subjects (after excluding pathological Ankle brachial Index) followed for 4.9 years (range 3.8 to 5.8 years), totalling 11,106 person-years. Peripheral artery disease 95 new cases were detected, representing an incidence of 4.3 % at 5 years and 8.6 per 1000 person-years (95 % CI 6.9 to 10.5) being higher in men (10.2, 95 % CI 7.4 to 13.5) than in women (7.5, 95 % CI 5.5 to 9.9). Linear correlation between the baseline Ankle brachial Index and the second cross section was low (r = 0.23).


The incidence of peripheral artery disease in ARTPER cohort was 8.6 cases per 1000 person-years, being higher in men, especially <65 years. The correlation between two measures Ankle brachial Index after 5 years of follow-up was low. One might consider whether Ankle brachial Index repeated measures could improve the correlation.

Peer Review reports


Atherosclerosis is currently considered to be a systemic, chronic and progressive illness, having complex pathogenic mechanisms. It occurs in coronary heart disease, cerebrovascular disease, erectile dysfunction and peripheral artery disease (PAD).

The prevalence of PAD of the lower extremities, particularly in the asymptomatic forms, is high. [1] Globally speaking, 202 million people have PAD. In Europe, there has been an increased prevalence of this disease by 13.8 % over the past decade [1]. In countries having low cardiovascular risk such as Spain, the prevalence is situated between 3.7 and 7.6 % [25].

PAD is a major cause of decreased quality of life, lower life expectancy and is a major cause of morbidity and mortality [610]. With regard to quality of life, 10–20 % of the subjects with PAD have intermittent claudication [6, 7] and up to 50 % may have atypical symptoms in the lower extremities [7]. In addition, PAD triples the risk of mortality and major cardiovascular events including myocardial infarction and stroke [810].

Several population-based studies have evaluated the association between the incidence of PAD and the risk factors associated with the progression of this disease [11, 12]. However, the incidence of PAD in Spain has only been studied in selected populations and not in the general population [13, 14]. As for the progression of PAD, there is little agreement among the different studies published to date. Some authors consider the progression of the disease to be demonstrated by a change in ABI from normal to pathological (<0.9 or ≥1.4) [15, 16]; while other authors consider a specific decrease in ABI values [1, 1618] and still others consider the progression of PAD to occur only when there are vascular events. As for the evolution of ABI values over time, while some authors have described decreases in said values [1922] while other researchers have reported increases in these values [15, 17, 18].

A decrease in ABI values along follow-up period has also been associated with an increase in both cardiovascular morbidity and mortality from other causes (cardiovascular and not cardiovascular) [17].

In subjects with high vascular risk, the determination of ABI may provide relevant information on the presence of sub-clinical arteriosclerosis and future vascular events. From the perspective of primary prevention, the development of strategies to allow for the identification of sub-clinical atheromatous is needed. One strategy to achieve this may be to detect PAD in the lower extremities using the ABI. REASON is a validated pre-screening test used in our country to determine asymptomatic candidates based on ABI [23].

It is fundamental to understand the epidemiology of PAD in the general Spanish population as well as the factors associated with its progression in order to evaluate the evolution of arteriosclerosis and develop preventative strategies. The main objective of this study was to determine the incidence of PAD after 5 years of follow-up of the ARTPER cohort, as well as the evolution of ABI over the same study period.


ARTPER is a population cohort of 3786 subjects over the age of 50, recruited between 2006 and 2008 from 24 Primary Health Centres of the metropolitan Barcelona area and Barcelonés Nord-Maresme (approximately 600,000 inhabitants). Follow-up was conducted via telephone and clinical history reviews were made every 6 months from their creation until 2012 (date when the cohort was re-examined in situ). A description of the study methodology was previously published [4, 24].

Two health care professionals trained in the procedure performed the ABI measurements in a standardized manner [6]. An ABI < 0.9 was considered to be indicative of PAD, while an ABI ≥ 1.4 represents arterial calcification.

Definition of peripheral artery disease incidence

A decrease in abnormal ABI values (<0.9) in either of the two lower extremities in the second ABI determination at 5 years compared to normal baseline ABI (from 0.9 to 1.4) was considered to indicative a PAD event.

Progression of the illness

The progression of PAD is considered on finding a decrease >10 % in the minimum ABI values of either of the extremities over time compared to baseline.

Statistical methods

All of the variables were subject to a thorough quality control process. Continuous variables are described as mean and standard deviation while the categorical variables are expressed as frequency and percentage. Comparisons of continual variables were made with the Student’s t tests and categorical variables were compared with the Chi-square tests. The following dependent variables were studied as well as their association with other variables: 1.- incidence of PAD, using Cox regression models to determine the association with potentially associated factors, adjusted by age, gender and baseline ABI; 2.- disease progression, using logistic regression models to determine the association with potentially associated factors, adjusted by age and gender. In all cases, the possibility of creating transformations or clusters to improve the fit of the model was analysed. For the two dependent variables, a multivariate model was developed which initially included all of the variables with p < 0.2 in the bivariate models adjusted by age and gender (and baseline ABI in the Cox models). The models having the best fit to the data were determined using the Akaike criterion, residual behaviour, and Harrell’s C index and proportionality (Cox models) and Hosmer-Lemeshow (logistics models), considering their interpretability and biological plausibility. Some variables that were significant (p < 0.05) in the bivariate models were no longer significant when adjusted for by others. In the final multivariate models, only variables with p < 0.05 were included. In the Cox models, the baseline ABI was adjusted for, even though this is not revealed in the tables. All comparisons were bilateral and the confidence interval was 95 %. The Stata 13 statistical package was used.


This study was approved by the Ethical Committee of Primary Health Care. All participants signed informed consent to participate.


A total of 3786 patients >55 years of age were recruited from March 2011 to September of 2012. Of these 2762 individuals were evaluated in the second ABI measurements (77 %). On comparing the study participants (n = 2762) with the non-participants (n = 1024) several differences were found with regard to age (64 vs 68 years, p < 0.001), female gender (55 % vs 51 %, p = 0.013), smoking habit (56 % non-smokers vs 52 %, p = 0.025), physical exercise (5734 METS in 14 days vs 4743, p < 0.001), hypertension (54 % vs 53 %, p < 0.001), hypercholesterolemia (49 % vs 45 %, p = 0.009), diabetes (15 % vs 19 %, p = 0.009), cardiovascular risk (REGICOR 5.8 % vs 6.6 %, p < 0.001). No differences were found in relation to the body mass index (29 in both groups) and clinical history of intermittent claudication (10 % in both groups). The incidence of PAD was analysed in 2256 subjects with normal ABI were included (0.90– 1.40). Patients with a baseline ABI <0.9 (n = 180) and ≥ 1.40 (n = 163) and those showing calcification in the follow-up (n = 153) or who were unable to undergo the second ABI measurement (n = 10) were excluded (Fig. 1). The baseline characteristics of the 2256 subjects analysed are shown in Table 1. The study participants were followed for 4.9 years (range: 3.8–5.8 years), with a total of 11,106 individuals-year. The mean baseline ABI was 1.093, being 1.099 at follow-up. Ninety-five new cases of PAD were identified, representing an incidence of PAD of 4.3 % at 5 years or of 8.6 per 1000 individuals-year (confidence interval (CI) of 95 % 6.9–10.5), being higher in men (10.2, CI 95 % 7.4–13.5) than in women (7.5, CI 95 % 5.5–9.9) (Table 2). The incidence of PAD in subjects < 65 years of age at follow-up was double for men (9.9 per 1000 individuals-year) as compared to women (4.8 per 1000 individuals-year), while in those > 75 years of age, the incidences was similar, at around 12.5 cases per 1000 individuals-year. Overall incidence of PAD was 8.8 per 1000 individuals-year (CI 95 % 6.8–10.8) after direct standardization by the age (>50) and sex European Union structure [25].

Fig. 1
figure 1

Flow Chart ARTPER cohort

Table 1 Baseline characteristics of the sample, according to incidence of peripheral artery disease (PAD)
Table 2 Incidence of peripheral artery disease (PAD)

In healthy patients (normal baseline ABI) a decrease in ABI >10 % was observed in 15 % (n = 326), with an increase > 10 % being found in 24 % of the participants (n = 510).

In patients presenting a PAD event, the baseline ABI was 1.01, decreasing to 0.80 at follow-up. At follow-up a decrease in ABI >10 % was observed in 83 % of the population with PAD (n = 79). The linear correlation between baseline ABI and that at follow-up was low (r = 0.23).

Only 1 out of every 4 patients with PAD revealed clinical histories of intermittent claudication, with the remainder being asymptomatic.

The incidence of PAD was significantly associated with male gender, age, smoking habit, major physical activity limitations, arterial hypertension, diabetes and low HDL cholesterol in models adjusted for age, gender and baseline ABI (Table 3).

Table 3 Risk factors associated with peripheral artery disease (PAD). Analysis adjusted by age, gender and baseline ankle-brachial index (ABI)

Using a model adjusting for the baseline ABI, the following variables were significantly associated with the incidence of PAD: Age (hazard ratio (HR) 1.04 per year), smoking (HR 3.49), major physical activity limitation (HR 2.36) and low HDL cholesterol levels (HR 1.68) (Table 4).

Table 4 Risk factors associated with peripheral artery disease (PAD). Multivariate analysisa

The multivariate model showed the risk factors positively and significantly associated with PAD progression (decrease in ABI > 10 %) to be similar to those associated with the incidence of PAD, with the exception of HDL cholesterol and the appearance of a protective effect for the level of education (Table 5).

Table 5 Risk factors associated with a decrease of 10 % of the ankle-brachial index (ABI). Multivariate logistic regression model


To our knowledge, ARTPER is the first population study carried out in Spain to evaluate the incidence of PAD after 5 years of follow-up. The incidence of PAD was 8.6 per 1000 individuals-year, being higher in men than in women, in both the symptomatic and asymptomatic disease.

Previous examinations of incidence carried out in Spain were not population-based studies [13, 14], and obtained incidences between 14.3 (Lahoz) [13] and 23.8 (Merino) [14] per 1000 individuals-year with 4 and 5 years of follow-up respectively. The study conducted by Lahoz et al [13] was carried out on volunteer subjects of both genders (35.9 % male) between 60 and 79 years of age, recruited from one primary health care centre. The greater incidence of PAD found in this study may be explained by the higher age of participants, since PAD increases in both genders with age [4, 14]. The higher incidence found in the study by Merino et al [14] performed in men between the ages of 55 and 74 attending four primary health centres and selected by simple randomization, may be due to the high prevalence of smokers found in this population (48.9 % ex-smokers and 27.8 % active smokers). In addition, the study subjects were exclusively males and patients rather than a general population.

The incidence of PAD in our study was also lower than that found in the majority of European and North American studies [15, 16, 19, 26, 27] which range between five and 44 per 1000 individuals-year.

In the Multi-Ethnic Study of Atherosclerosis (MESA) [15], an incidence of 5.0 per 1000 individuals-year was found in subjects with an average age of 62 years and in which 50 % of the participants were female. In the ARIC study [27], with a follow-up of 10.3 years, the incidence was 13.9 per 1000 individuals-year, probably due to the study being carried out in a diabetic population. In the Cardiovascular Health study [16] the incidence was 15.8 per 1000 individuals-year, which may potentially be explained by the increased age of the participants, almost 10 years older (74.8 ± 4.8) than in our study. However, the highest prevalence (44 per 1000 individuals-year) was found in the BARI 2D study [19] carried out with diabetic subjects with stable coronary heart disease.

On the other hand, the mean ABI of this study (1.099) was similar to that in other studies. Lahoz et al [13] reported a mean ABI of 1.07, similar to that found in the Cardiovascular Health Study [16] despite the participants being older than in our study. In the Edinburg Health Study [26], including subjects between the ages of 55–74, the mean ABI was 1.08. In the MESA study [28, 29] the mean ABI was 1.11, in a population in which the mean age was similar to that of our study (61 vs 63 years of age).

With regard to the decrease in ABI values along the follow up period, a wide variability is described in the different studies published to date probably due to the inclusion of participants with and without PAD. Lahoz et al [13] (750 volunteers) found a decrease in ABI after 4 years of 0.02 ± 0.12 points and in the Edinburg Artery Study [26] (695 participants), there was a decrease in ABI values of 0.01 points across the 12 years of follow-up. The 6-year Cardiovascular Health follow-up study [16] (2071 participants), described differences in ABI in subjects with PAD (decrease of 0.33 ± 0.12) compared to healthy subjects (0.02 ± 0.13), being values similar to those found in our study with a decrease of 0.22 ± 0.13 and an increase of 0.02 ± 0.13, respectively.

Progression of PAD

The results of studies on the progression of PAD and the criteria used to define progression also vary greatly. In the present study we found that 15.0 % of the subjects showed a decrease in ABI values greater than 10 % at 5 years of follow- up, while Lahoz et al [13] found a decrease in 21.6 % of the volunteer participants. Kallio et al [18] reported progression of PAD (decrease of ABI >15 %) in 19 % of the subjects after 11 years of follow-up. In the Cardiovascular Health Study [16], PAD progression was found (decrease of ABI > 15 % or ABI <0.9) in 9.5 % of the subjects after 6 years of follow-up, being associated with an increase in morbidity-mortality.

Variables associated with peripheral artery disease incidence

The risk factors associated with the incidence of PAF in this study were age, male gender, arterial hypertension, diabetes and low HDL cholesterol and their presence almost doubles the risk of presenting PAD during follow-up Major physical activity limitations and active smoking also increased the risk of PAD incidence by 2.5 and 4 times, respectively.

However, obesity, central obesity, hypercholesterolemia, high LDL cholesterol and hypertriglyceridemia were not found to be associated with the incidence of PAD similar to what has been suggested by other authors [13, 14].

Age is a risk factor associated with the progression of PAD in most of the studies published to date [10, 15, 16, 30]. This is probably due to the increase in the prevalence of different risk factors with age, thereby explaining the disappearance of these factors disappear in the multivariate model adjusted for age. The progression of arteriosclerosis also advances with age, likely because, as some authors suggest, of the longer exposure to risk factors over time [31]. However, in our study we found that in participants < 65 years of age, the incidence of PAD in men is practically double that of women. On the other hand, in subjects over the age of 75 years, the incidence of PAD is much higher, albeit more equal for both genders.

As in the majority of studies, we found an association between male gender [13, 15, 19] and the incidence or the progression of PAD. This may be explained by the increased prevalence of smoking in males or, as suggested by some authors, due to genetic predisposition. However, paradoxically, in some studies fewer cardiovascular risk factors as well as a lower incidence of PAD events and, contrarily, an increased predisposition for PAD were found in women [32].

In general, as described in the literature and as found in the present study smoking, arterial hypertension and diabetes are the most important risk factors associated with the incidence and progression of PAD [14, 15, 27]. Different studies, including ours, have also found an inverse association with HDL cholesterol figures [33]. In our study, only age, smoking, HDL cholesterol and a less-studied variable, decreased physical activity, remained in the multivariate model. On the other hand, despite showing a relationship with PAD in the non- adjusted models, factors such as hypertension or diabetes were not included in the multivariate model. The relatively low number of cases studied and the correlation with other variables may explain why these variables were not associated with PAD in the multivariate model

Strengths and limitations of the study

The strengths of this study include the fact that it was carried out in the general population, used follow-up via telephone and in-person in the second ABI measurement, was carried out by trained individuals, used standardized measures for all participants, confirmed clinical risk factors based on clinical history, had high participation during the 5 years of follow-up and performed quality control of the data analyzed, all of which increase the validity of the results obtained.

However, although participation at 5 years was high (77 %), significant differences were found between the participating and non-participating patients, as found by other authors [1]. Older subjects and those with more pathologies were those that did not participate in the second ABI measurement which may lead to an underestimation of incidence in our study, and may alter the presence of other risk factors associated with the appearance of PAD. However, this limitation is inherent in most longitudinal studies, particularly in those following older individuals. Our results do not differ greatly from those published previously; however it does provide more valid information, in terms of the sample studied, and with results from Spain.

The limited correlation found between the results of the baseline ABI and those of the follow- up (r = 0.23) is another potential limitation of the study, perhaps because the ABI was based on a single determination taken at one specific time. Moreover, inter and intra observer variability could affect this correlation. This may decrease the reliability of the results, although it is also another common limitation in all studies. To improve this, it may be more appropriate to determine the ABI on three occasions, separated by a reasonable amount of time and obtaining a result being the mean of the 3 determinations, as done for the diagnosis of arterial hypertension.

The incidence of PAD, based on an ABI in the second determination was calculated at the same time that the measurement was performed. This may lead to an artificial extension of observation time for the participants with PAD events, since the event probably occurred at some point between recruitment and the second ABI measurement. This may also lead to a slight underestimation of the incidence of PAD, since the time of diagnosis is delayed. In any case, this is inevitable and occurs in most studies on incidence, in which the time disease diagnosis does not coincide with the actual appearance of the disease in the patient.


The incidence of PAD in the ARTPER cohort is 8.6 cases per 1000 individuals-year, being higher in men than in women, particularly in those under the age of 65. Smoking, age and physical activity limitations are the factors that are the most frequently associated with a decrease in ABI and the appearance of PAD. The correlation between 2 ABI measurements, separated by 5 years of follow-up is low; therefore it may be necessary to examine whether repeated measures of the ABI might improve this correlation.



Ankle-brachial index


Peripheral arterial disease


  1. Bird CE, Criqui MH, Fronek A, Denenberg JO, Klauber MR, Langer RD. Quantitative and qualitative progression of peripheral arterial disease by non-invasive testing. Vasc Med. 1999;4:15–21.

    Article  CAS  PubMed  Google Scholar 

  2. Ramos R, Quesada M, Solanas P, Subirana I, Sala J, Vila J, et al. Prevalence of symptomatic and asymptomatic peripheral arterial disease and the value of the ankle-brachial index to stratify cardiovascular risk. Eur J Vasc Endovasc Surg. 2009;38:305–11.

    Article  CAS  PubMed  Google Scholar 

  3. Blanes JI, Cairols MA, Marrugat J. ESTIME. Prevalence of peripheral artery disease and its associated risk factors in Spain: The ESTIME Study. Int Angiol. 2009;28:20–5.

    CAS  PubMed  Google Scholar 

  4. Alzamora MT, Forés R, Baena-Díez JM, Pera G, Toran P, Sorribes M, et al. The peripheral arterial disease study (PERART/ARTPER): prevalence and risk factors in the general population. BMC Public Health. 2010;10:38.5.

    Article  Google Scholar 

  5. Félix-Redondo FJ, Fernández-Bergés D, Grau M, Baena Díez JM, Mostaza JM, Vila J. Prevalence and clinical characteristics of peripheral arterial disease in the study population Hermex. Rev Esp Cardiol. 2012;65:726–33.

    Article  PubMed  Google Scholar 

  6. Stoffers HE, Rinkens PE, Kester AD, Kaiser V, Knottnerus JA. The prevalence of asymptomatic and unrecognized peripheral arterial occlusive disease. Int J Epidemiol. 1996;25:282–90.

    Article  CAS  PubMed  Google Scholar 

  7. Hirsch AT, Criqui MH, Treat-Jacobson D, Regensteiner JG, Creager MA, Olin JW, et al. Peripheral arterial disease detection, awareness, and treatment in primary care. JAMA. 2001;286:1317–24.

    Article  CAS  PubMed  Google Scholar 

  8. Pande RL, Perlstein TS, Beckman JA, Creager MA. Secondary prevention and mortality in peripheral artery disease: National Health and Nutrition Examination Study, 1999 to 2004. Circulation. 2011;124:17–23.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Smith GD, Shipley MJ, Rose G. Intermittent claudication, heart disease risk factors, and mortality. The Whitehall Study. Circulation. 1990;82:1925–31.

    Article  CAS  PubMed  Google Scholar 

  10. Fowkes FG, Murray GD, Butcher I, Heald CL, Lee RJ, Chambless LE, et al. Ankle brachial index combined with Framingham Risk Score to predict cardiovascular events and mortality: a meta-analysis. JAMA. 2008;300:197–208.

    Article  CAS  PubMed  Google Scholar 

  11. Tsai AW, Folsom AR, Rosamond WD, Jones DW. Ankle-brachial index and 7-year ischemic stroke incidence: the ARIC study. Stroke. 2001;32:1721–4.

    Article  CAS  PubMed  Google Scholar 

  12. Meves SH, Diehm C, Berger K, Pittrow D, Trampisch HJ, Burghaus I, et al. Peripheral arterial disease as an independent predictor for excess stroke morbidity and mortality in primary-care patients: 5-year results of the getABI study. Cerebrovasc Dis. 2010;29:546–54.

    Article  PubMed  Google Scholar 

  13. Lahoz C, Garcia-Fernandez T, Barrionuevo M, Vicente I, Gonzalez-Alegre T, Mostaza JM. Differences in the ankle-brachial index in the general population after 4 years of follow-up. Vasa. 2013;42:112–9.

    Article  PubMed  Google Scholar 

  14. Merino J, Planas A, Elosua R, de Moner A, Gasol A, Contreras C, et al. Incidence and risk factors of peripheral arterial occlusive disease in a prospective cohort of 700 adult elderly men followed for 5 years. World J Surg. 2010;34:1975–9.

    Article  PubMed  Google Scholar 

  15. Allison MA, Cushman M, Solomon C, Aboyans V, McDermott MM, Goff DC, et al. Ethnicity and risk factors for change in the ankle-brachial index: the Multi-Ethnic Study of Atherosclerosis. J Vasc Surg. 2009;50:1049–56.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Kennedy M, Solomon C, Manolio TA, Criqui MH, Newman AB, Polak JF, et al. Risk factors for declining ankle-brachial index in men and women 65 years or older: the Cardiovascular Health Study. Arch Intern Med. 2005;12;165:1896–902.

    Article  Google Scholar 

  17. Criqui MH, Ninomiya JK, Wingard DL, Ji M, Fronek A. Progression of peripheral arterial disease predicts cardiovascular disease morbidity and mortality. J Am Coll Cardiol. 2008;18(52):1736–42.

    Article  Google Scholar 

  18. Kallio M, Forsblom C, Groop PH, Groop L, Lepäntalo M. Development of new peripheral arterial occlusive disease in patients with type 2 diabetes during a mean follow-up of 11 years. Diabetes Care. 2003;26:1241–5.

    Article  PubMed  Google Scholar 

  19. Althouse AD, Abbott JD, Forker AD, Bertolet M, Barinas-Mitchell E, Thurston RC, et al. Risk factors for incident peripheral arterial disease in type 2 diabetes: results from the Bypass Angioplasty Revascularization Investigation in type 2 Diabetes (BARI 2D) Trial. Diabetes Care. 2014;37:1346–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Diehm C, Allenberg JR, Pittrow D, Mahn M, Tepohl G, Haberl RL, et al. Mortality and vascular morbidity in older adults with asymptomatic versus symptomatic peripheral artery disease. Circulation. 2009;120:2053–61.

    Article  PubMed  Google Scholar 

  21. Sutton-Tyrrell K, Venkitachalam L, Kanaya AM, Boudreau R, Harris T, Thompson T, et al. Relationship of ankle blood pressures to cardiovascular events in older adults. Stroke. 2008;39:863–9.

    Article  PubMed  Google Scholar 

  22. Smith FB, Lee AJ, Price JF, van Wijk MC, Fowkes FG. Changes in ankle brachial index in symptomatic and asymptomatic subjects in the general population. J Vasc Surg. 2003;38:1323–30.

    Article  PubMed  Google Scholar 

  23. Ramos R, Baena-Díez JM, Quesada M, Solanas P, Subirana I, Sala J, et al. Derivation and validation of REASON: a risk score identifying candidates to screen for peripheral arterial disease using ankle brachial index. Atherosclerosis. 2011;214:474–9.

    Article  CAS  PubMed  Google Scholar 

  24. Alzamora MT, Baena-Díez JM, Sorribes M, Forés R, Toran P, Vicheto M, et al. Peripheral Arterial Disease study (PERART): prevalence and predictive values of asymptomatic peripheral arterial occlusive disease related to cardiovascular morbidity and mortality. BMC Public Health. 2007;7:348.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Eurostat. European Union (28 countries) Population on 1 January 2012 by five years age group and sex. (

  26. Fowkes FG, Housley E, Cawood EH, Macintyre CC, Ruckley CV, Prescott RJ. Edinburgh Artery Study: Prevalence of asymptomatic and symptomatic peripheral arterial disease in the general population. Int J Epidemiol. 1991;20:384–92.

    Article  CAS  PubMed  Google Scholar 

  27. Wattanakit K, Folsom AR, Selvin E, Weatherley BD, Pankow JS, Brancati FL, et al. Risk factors for peripheral arterial disease incidence in persons with diabetes: the Atherosclerosis Risk in Communities (ARIC) Study. Atherosclerosis. 2005;180:389–97.

    Article  CAS  PubMed  Google Scholar 

  28. Delaney JA, Jensky NE, Criqui MH, Whitt-Glover MC, Lima JA, Allison MA. The association between physical activity and both incident coronary artery calcification and ankle brachial index progression: the multi-ethnic study of atherosclerosis. Atherosclerosis. 2013;230:278–83.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Wilkins JT, McDermott MM, Liu K, Chan C, Criqui MH, Lloyd-Jones DM. Associations of noninvasive measures of arterial compliance and ankle-brachial index: the Multi-Ethnic Study of Atherosclerosis (MESA). Am J Hypertens. 2012;25:535–41.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Newman AB, Siscovick DS, Manolio TA, Polak J, Fried LP, Borhani NO, et al. Ankle-arm index as a marker of atherosclerosis in the Cardiovascular Health Study. Cardiovascular Heart Study Collaborative Research Group. Circulation. 1993;88:837–45.

    Article  CAS  PubMed  Google Scholar 

  31. Novella B, Alonso M, Rodriguez-Salvanés F, Susi R, Reviriego B, Escalante L, et al. Incidencia a diez años de infarto de miocardio fatal y no fatal en población anciana de Madrid. Rev Esp Cardiol. 2008;61:1140–9.

    Article  PubMed  Google Scholar 

  32. Kröger K, Lehmann N, Moebus S, Schmermund A, Stang A, Kälsch H, et al. Impact of atherosclerotic risk factors on different ankle-brachial-index criteria--results of the Heinz Nixdorf RECALL study. Vasa. 2013;42:120–6.

    Article  PubMed  Google Scholar 

  33. Mohler ER, Bundens W, Denenberg J, Medenilla E, Hiatt WR, Criqui MH. Progression of asymptomatic peripheral artery disease over 1 year. Vasc Med. 2012;17:10–6.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Ma. Teresa Alzamora.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

MTA, RF, JMB, GP and PT participated in the conception and design of the study; MTA, RF, JMB, MS and PT contributed to the coordination study; MS, MV, AH and LM participated in the acquisition of data; GP participated in the statistical calculations; MTA, RF, JMB and PT wrote the manuscript; MS, MV, AH, LM, XM and GP revised critically the manuscript and all the authors have read and approved the final manuscript.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alzamora, M.T., Forés, R., Pera, G. et al. Incidence of peripheral arterial disease in the ARTPER population cohort after 5 years of follow-up. BMC Cardiovasc Disord 16, 8 (2016).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: