Published on in Vol 8, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34908, first published .
Incidence and Prevalence of Peripheral Arterial Disease in South Korea: Retrospective Analysis of National Claims Data

Incidence and Prevalence of Peripheral Arterial Disease in South Korea: Retrospective Analysis of National Claims Data

Incidence and Prevalence of Peripheral Arterial Disease in South Korea: Retrospective Analysis of National Claims Data

Original Paper

1Department of Nursing, Hansei University, Gunpo-si, Republic of Korea

2Mo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Republic of Korea

3College of Nursing, Yonsei University, Seoul, Republic of Korea

4Department of Statistics and Data Science, Yonsei University, Seoul, Republic of Korea

5Division of Cardiology, Severance Cardiovascular Hospital, College of Medicine, Yonsei University, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

Mona Choi, RN, PhD

Mo-Im Kim Nursing Research Institute

College of Nursing

Yonsei University

50 Yonsei-ro

Seodaemun-gu

Seoul, 03722

Republic of Korea

Phone: 82 2 2228 3341

Fax:82 2 2227 8303

Email: monachoi@yuhs.ac


Background: Peripheral arterial disease (PAD) causes blood vessel narrowing that decreases blood flow to the lower extremities, with symptoms such as leg pain, discomfort, and intermittent claudication. PAD increases risks for amputation, poor health-related quality of life, and mortality. It is estimated that more than 200 million people worldwide have PAD, although the paucity of PAD research in the East detracts from knowledge on global PAD epidemiology. There are few national data–based analyses or health care utilization investigations. Thus, a national data analysis of PAD incidence and prevalence would provide baseline data to enable health promotion strategies for patients with PAD.

Objective: This study aims to identify South Korean trends in the incidence and prevalence of PAD and PAD treatment, in-hospital deaths, and health care utilization.

Methods: This was a retrospective analysis of South Korean national claims data from 2009 to 2018. The incidence of PAD was determined by setting the years 2010 and 2011 as a washout period to exclude previously diagnosed patients with PAD. The study included adults aged ≥20 and <90 years who received a primary diagnosis of PAD between 2011 and 2018; patients were stratified according to age, sex, and insurance status for the incidence and prevalence analyses. Descriptive statistics were used to assess incidence, prevalence, endovascular revascularization (EVR) events, amputations, in-hospital deaths, and the health care utilization characteristics of patients with PAD.

Results: Based on data from 2011 to 2018, there were an average of 124,682 and 993,048 incident and prevalent PAD cases, respectively, in 2018. PAD incidence (per 1000 persons) ranged from 2.68 to 3.09 during the study period. From 2012 to 2018, the incidence rate in both sexes showed an increasing trend. PAD incidence continued to increase with age. PAD prevalence (per 1000 persons) increased steadily, from 3.93 in 2011 to 23.55 in 2018. The number of EVR events varied between 933 and 1422 during the study period, and both major and minor amputations showed a decreasing trend. Health care utilization characteristics showed that women visited clinics more frequently than men, whereas men used tertiary and general hospitals more often than women.

Conclusions: The number of incident and prevalent PAD cases generally showed an increasing trend. Visits to tertiary and general hospitals were higher among men than women. These results indicate the need for attention not only to Western and male patients, but also to Eastern and female patients with PAD. The results are generalizable, as they are based on national claims data from the entire South Korean population, and they can promote preventive care and management strategies for patients with PAD in clinical and public health settings.

JMIR Public Health Surveill 2022;8(11):e34908

doi:10.2196/34908

Keywords



Peripheral arterial disease (PAD) is a major vascular condition that decreases blood flow to the affected limbs; it is mostly caused by atherosclerosis, a progressive disease characterized by the intra-arterial accumulation of lipids and fibrous elements [1,2]. The PAD symptoms of claudication and critical limb ischemia (CLI) occur following the reduction of blood flow to affected limbs, with resultant resting pain and cramps [3-5]. Worldwide, more than 236 million people are affected by PAD, and the PAD burden could increase with population aging [6,7], as PAD prevalence consistently and globally increases with age, especially in older age groups [6,7]. In the United States, treatment of CLI symptoms in older patients (aged >65 years) with PAD incurs an estimated cost of US $1.2 billion yearly [8,9].

Vessel patency in the affected limb is essential for adequate blood flow, as vessel obstruction increases risk for amputation, mortality, and poor health-related quality of life [10-12]. Endovascular revascularization (EVR) by percutaneous transluminal angiography (PTA) is the preferred method to open affected vessels, thereby improving the clinical manifestations of claudication and CLI [13] and reducing major amputations of the affected limbs [14]. However, the prognosis of the surgical procedure is associated with procedural characteristics, such as method and target region, and patient characteristics, such as age, smoking, and comorbidities [15]. A systematic review revealed that major amputation events after surgical intervention were significantly related to comorbidities, such as cardiovascular disease, chronic kidney disease, diabetes, chronic occlusive pulmonary disease, dementia, and frailty [16].

Some patients with PAD have atypical presentation, without intermittent claudication or clear limb symptoms [4,9], and may attempt to alleviate limb symptoms by reducing physical activity, which may eventually cause a worse prognosis [4,17]. Thus, patients with asymptomatic PAD may not be properly diagnosed and may not receive adequate treatment [18,19]. Furthermore, chronic diseases such as PAD affect psychological well-being by inducing depression, anxiety, and low quality of life [20,21]. Pain and difficulty in walking distances and climbing stairs in patients with PAD are significantly related to quality of life [22] and well-being [23].

Understanding trends in the incidence, prevalence, and clinical manifestations of PAD and related procedures, treatments, and health outcomes are crucial for public health interventions. Thus, identifying the incidence and prevalence of PAD using recent national data may provide baseline data to facilitate the development of health promotion strategies and interventions for patients with PAD and public health promotion. However, most previous studies have examined the incidence and prevalence in Western countries [1,24], and PAD has been studied only as part of atherosclerotic disease [25].

Currently, studies on PAD in Eastern countries are scarce, which limits understanding of the global features of PAD. Moreover, few studies have investigated national data on health care utilization characteristics. This study used nationwide data obtained from the Health Insurance Review and Assessment (HIRA) Service of South Korea from 2011 to 2018 to investigate (1) trends in the incidence, prevalence, and treatment of PAD (eg, EVR events) and PAD-related amputations and in-hospital deaths and (2) health care utilization characteristics of patients with PAD.


Ethical Considerations

This study was reviewed by the Yonsei University health system institutional review board (Y-2019-0105) and was conducted using secondary data analysis with a descriptive study design. This study used South Korea–specific research data obtained by HIRA (M20190923977).

Data Source

We acquired data from the HIRA database for patients with PAD from January 1, 2009, to December 31, 2018. The National Health Insurance system in Korea is a single-payer system that covers 98% of the total population. More than 99% of medical institutions are mandatorily included in the system, and the HIRA collects claims data to reimburse health care providers [26]; these data cover all South Korean citizens and can be used as anonymized information on diagnoses, procedures, prescription records, demographic information, and direct medical costs [26,27].

Study Population

Patients with PAD were defined as those with the following Korean Standard Classification of Diseases, 7th revision (KCD-7) codes: I70.2, I73.9, I73.9, I74.3, I74.4, I74.5, I74.8, and I74.9; these are primary PAD diagnoses (Multimedia Appendix 1). The KCD-7 codes were developed in Korea based on the International Classification of Diseases, Tenth Revision (ICD-10) codes, and the KCD-7 codes for PAD are identical to the ICD-10 codes. We selected the codes by referring to published studies that analyzed PAD-related data with similar codes [24,25,28]. Adolescents (ie, those aged 19 years or younger) were excluded. Adult patients (aged ≥20 and <90 years) who were diagnosed with PAD by a physician between January 1, 2009, and December 31, 2018, as outpatients or inpatients at health facilities ranging from clinics to tertiary hospitals were enrolled.

Trends in Incidence and Prevalence

For PAD incidence, data from 2009 to 2018 were used. Data from patients treated for PAD from January 1, 2009, to December 31, 2010, were excluded to identify newly diagnosed patients. In general, the incidence of chronic diseases, such as diabetes and PAD, is calculated after excluding data from a 2-year washout period [14], and the same method was used in this study. The index date was defined as the date between 2011 and 2018 on which a patient was first diagnosed with PAD, and these dates were analyzed to determine PAD incidence. PAD prevalence was ascertained from data from 2011 to 2018 to identify patients treated for PAD every year. The index date was determined as the date on which a patient was first diagnosed for every year from 2011 to 2018 (Figure 1).

The annual number of incident and prevalent PAD cases and PAD incidence and cumulative prevalence were assessed. PAD incidence and prevalence are reported as the number of patients with PAD per 1000 individuals.

Figure 1. Selection of patients with peripheral arterial disease using Health Insurance Review and Assessment data. PAD: peripheral arterial disease.
View this figure

Trends in Treatment and Deaths

To identify the annual number of EVR events, open surgical procedures, amputations, and in-hospital deaths, the numbers of cases from January 1, 2011, to December 31, 2018, were assessed based on the prevalence database used in this study. The codes for EVR events, surgical procedures, and amputations were selected based on a previous study [25] (Multimedia Appendix 2). EVR events included PTA, stent grafts, and atherectomies, whereas amputations included major and minor amputations. In-hospital death was assessed based on the results of medical treatment for patients diagnosed with PAD from January 1, 2011, to December 31, 2018.

Health Care Use Characteristics

To identify health care use characteristics, we assessed all claims from January 1, 2011, to December 31, 2018, and grouped them to identify the number of visits to tertiary hospitals, general hospitals, small hospitals, long-term care facilities, and clinics. Tertiary hospitals are defined as large hospitals with more than 20 medical departments, with each department having relevant specialists. General hospitals are defined as having 100 or more beds, and hospitals are defined as small hospitals with 30 or more beds. Long-term care facilities provide medical and nursing care for inpatients and outpatients. Clinics provide treatment and care to outpatients.

Statistical Analysis

The number of incident PAD cases was the number of patients who were newly diagnosed with PAD. The annual PAD incidence was calculated as the number of newly diagnosed patients with PAD in a year divided by the size of the population at risk. The “population at risk” for this calculation was defined by excluding preexisting patients with PAD from the midyear population [29,30]. As we had already excluded patients from 2010 from the analysis, the incidence could not be calculated for 2011, and this study therefore only analyzed incidence from 2012 to 2018.

The number of prevalent cases was the number of patients who were previously or newly diagnosed with PAD and underwent treatment, whereas PAD prevalence was the total accumulated number of patients with PAD every year. In this study, census data were used for the total population of South Korea.

Incident cases, incidence, prevalent cases, prevalence, EVR events, open surgical procedures, amputations, in-hospital deaths, and health care utilization characteristics were analyzed with descriptive statistics. The frequency of PAD incident cases was stratified according to age, sex, and insurance status. Incidence was adjusted by age and sex using a standardization method that calculates a weight based the study population for the year 2011 [31]. The incidence trends were analyzed according to sex and age.

Changes in the frequency of EVR events, open surgical procedures, and amputations per year were assessed to determine treatment trends. For the analysis of health care utilization, all claims were grouped by sex to identify the number of visits to tertiary hospitals, general hospitals, small hospitals, long-term care facilities, and clinics.

SAS (version 9.3; SAS Institute, Inc) and R (2020 version, R Foundation for Statistical Computing) were used for statistical analysis.


Demographics

A total of 997,459 new patients with PAD from 2011 to 2018 were identified. In 2011 and 2018, the numbers of new patients with PAD were 117,876 and 142,211, respectively. The total number of new female patients was 603,788 (60.5%), which was greater than the number of new male patients (n=393,671, 39.5%). Among patients who were newly diagnosed with PAD during the study period, those in their 50s were the most common by age at 242,425 (24.3%). In 2018, the number of prevalent PAD cases was 993,048. From 2011 to 2018, the number of prevalent PAD cases consistently increased (Table 1).

Table 1. Incident and prevalent cases of peripheral arterial disease from 2011 to 2018 in South Korea. Data represent the number of patients with peripheral arterial disease. Percentages are based on incident cases of peripheral arterial disease.

20112012201320142015201620172018Total (2011-2018)Average
Incident cases, n117,876102,153111,345116,025125,674139,191142,984142,211997,459124,682
Incident cases by sex, n (%)

Male46,399 (39.4)41,601 (40.7)44,484 (40)45,503 (39.2)49,185 (39.1)53,495 (38.4)55,981 (39.2)57,023 (40.1)393,671 (39.5)49,209

Female71,477 (60.6)60,552 (59.3)66,861 (60)70,522 (60.8)76,489 (60.9)85,696 (61.6)87,003 (60.9)85,188 (59.9)603,788 (60.5)75,474
Incident cases by age group (years),n (%)

20s3527 (3.0)2967 (2.9)3090 (2.7)3044 (2.7)3415 (2.7)3863 (2.8)3853 (2.7)4086 (2.9)27,845 (2.8)3481

30s7451 (6.3)6125 (6.0)6375 (5.7)6172 (5.3)6464 (5.1)7215 (5.2)7249 (5.1)7100 (5.0)54,151 (5.4)6769

40s17,343 (14.7)14,295 (14.0)14,982 (13.5)15,087 (13.0)15,896 (12.6)17,069 (12.3)17,101 (12.0)16,177 (11.4)127,950 (12.8)15,994

50s29,491 (25.0)25,948 (25.4)27,616 (24.8)28,696 (24.7)30,470 (24.2)33,346 (24.0)33,748 (23.6)33,110 (23.3)242,425 (24.3)30,303

60s27,907 (23.7)23,870 (23.4)25,765 (23.1)26,873 (23.2)29,617 (23.6)34,356 (24.7)35,952 (25.1)36,541 (25.7)240,881 (24.1)30,110

70s24,647 (20.9)22,185 (21.7)25,617 (23.0)26,834 (23.1)29,117 (23.2)31,344 (22.5)31,977 (22.4)31,759 (22.3)223,480 (22.4)27,935

80s7510 (6.4)6763 (6.6)7946 (7.1)9273 (8.0)10,695 (8.5)11,998 (8.6)13,104 (9.2)13,438 (9.4)80,727 (8.1)10,091
Incident cases by insurancestatus, n (%)

Health insurance108,481 (92.0)94,597 (92.6)103,333 (92.8)107,898 (93.0)116,467 (92.7)128,866 (92.6)132,635 (92.8)132,165 (92.9)924,442 (92.7)115,555

Medical aid9250 (7.8)7458 (7.3)7911 (7.1)8032 (6.9)9133 (7.3)10,248 (7.4)10,219 (7.1)9984 (7.0)72,235 (7.2)9029

Veteran145 (0.1)98 (0.1)101 (0.1)95 (0.1)74 (0.1)77 (0.1)130 (0.1)62 (0.0)782 (0.1)98
Prevalent casesa, n154,296256,449367,794474,627595,621725,163854,630993,048993,048N/Ab

aPrevalent cases refers to patients who were undergoing treatment after diagnosis of peripheral arterial disease; the values are accumulated values.

bN/A: not applicable.

Overall Trends in Incidence and Prevalence

In 2012, the total PAD incidence per 1000 patients was 2.92, and the absolute change was 0.07 between 2012 and 2018. The trend did not noticeably increase or decrease (Table 2).

The total incidence trend per year showed an increase from 2012 to 2018 (Figure 2).

The incidence in men increased from 2.12 per 1000 individuals in 2012 to 2.73 per 1000 individuals in 2018, for an absolute increase of 0.61. In women, the incidences in 2012 and 2018 were 3.04 and 4.03 per 1000 individuals, respectively, for an absolute increase of 0.99. From 2012 to 2018, the incidence trend was consistently higher in women than men (Figure 3A).

PAD incidence continued to increase with age from 20 to 70 years, and the average incidence among those in their 80s or older was higher than among those in their 70s. Among individuals in their 80s, PAD incidence in 2012 and 2018 was 7.84 and 8.94, respectively, for an absolute increase of 1.10, which was the highest among all age groups. In 2012 and 2018, the prevalence was 6.46 and 23.55, respectively, representing a consistently increasing trend. As shown in Figure 3B, the slope showed an increasing trend without a plateau.

Table 2. Incidence and prevalence per 1000 individuals. Peripheral arterial disease incidence and prevalence are based on the number of incident cases and the overall South Korean population. Incidence was adjusted by age and sex.
Year20112012201320142015201620172018ACa (2012-2018)Average (2012-2018)
IncidenceN/Ab2.922.682.712.863.093.093.00+0.072.91
Incidence by sex

MaleN/A2.122.212.262.422.602.702.73+0.612.43

FemaleN/A3.043.283.463.724.124.154.03+0.993.69
Incidence by age (years)

20sN/A0.530.460.470.510.570.570.60+0.070.53

30sN/A0.910.800.790.840.960.980.98+0.070.89

40sN/A1.971.681.691.801.941.971.91–0.061.85

50sN/A3.803.453.503.673.973.993.86+0.063.75

60sN/A6.495.795.745.876.436.396.18–0.316.13

70sN/A8.378.408.609.249.769.559.16+0.799.01

80sN/A7.847.758.318.809.139.318.94+1.108.58
Prevalence3.936.469.1711.7014.5217.4920.4323.55+19.6213.41c

aAC: absolute change.

bN/A: not applicable.

cAverage prevalence is the average from 2011 to 2018.

Figure 2. Trends in incidence and prevalence. Incidence was adjusted by age and sex.
View this figure
Figure 3. Trends in incidence by sex and age groups.
View this figure

Trends in Treatment and Death

From 2011 to 2018, the number of EVR events showed fluctuations (Figure 4).

In 2011, 933 EVR events were observed, increasing to 1206 cases in 2018, an absolute increase of 273 cases. In the same period, amputations decreased from 143 to 89, an absolute decrease of 54 cases. Major amputations decreased from 61 in 2011 to 35 in 2018, and minor amputations decreased from 82 in 2011 to 54 in 2018.

In-hospital deaths decreased from 95 in 2011 to 46 in 2018, an absolute decrease of 49. The number of in-hospital deaths was greater within 7 days than between 30 and 90 days. In 2011, 53 and 89 in-hospital deaths occurred within 7 and 30 days, respectively. In-hospital deaths within 30 days included deaths within 0 days, and in 2011, there were 36 deaths between 7 and 30 days. In 2018, 33 and 44 in-hospital deaths were observed within 7 days and 30 days, respectively (Table 3).

Figure 4. Trends in the annual numbers of endovascular revascularization events, open surgical procedures, amputations, and all-cause in-hospital deaths.
View this figure
Table 3. Annual number of endovascular revascularization events, open surgical procedures, amputations, and all-cause in-hospital deaths.

2011, n2012, n2013, n2014, n2015, n2016, n2017, n2018, nTotal (2011-2018), nACa (2011-2018)Average (2011-2018), n
EVRb events93312781396120814221148116212069753+2731219
Open surgical procedures4184434003732812612212042601–214325
Amputations

Total143153141141130816789945–54118

Major amputations6168595647282735381–2648

Minor amputations8285828583534054564–2871
In-hospital deaths

Total9572706186424546517–4965

Within 7 days5337374748243333312–2039

Within 30 days8964645882414244484–4561

Within 90 days9572706186424546517–4957

aAC: absolute change.

bEVR: endovascular revascularization.

Health Care Utilization by Sex

Total claims from 2011 to 2018 were 4,222,726. Male patients used tertiary hospitals more than than female patients (n=177,274, 9.8% vs n=76,636, 3.2%, respectively). Female patients used clinics more than male patients (n=2,027,490, 83.8% vs n=1,222,519, 67.8%, respectively) (Table 4).

Table 4. Types of health care utilization based on claims by sex (N=4,222,726). Tertiary hospitals are large, with at least 20 medical departments and specialists for each department. General hospitals have at least 100 beds and hospitals at least 30. Long-term care facilities treat inpatients and outpatients. Clinics treat outpatients.

MenWomen

Total (n=1,802,405), n (%)Inpatients (n=30,402), n (%)Outpatients (n=1,772,003), n (%)Total (n=2,420,321), n (%)Inpatients (n=11,198), n (%)Outpatients (n=2,409,123), n (%)
Tertiary hospitals177,274 (9.8)14,173 (46.6)163,101 (9.2)76,636 (3.2)3904 (34.9)72,732 (3)
General hospitals307,692 (17.1)12,778 (42)294,914 (16.6)196,391 (8.1)4118 (36.8)192,273 (8)
Small hospitals85,367 (4.7)1922 (2.3)83,445 (4.71)106,292 (4.4)1621 (14.5)104,671 (4.3)
Long-term care facilities9553 (0.5)1294 (4.3)8259 (0.47)13,512 (0.6)1226 (11)12,286 (0.5)
Clinics1,222,519 (67.8)235 (0.8)1,222,284 (69)2,027,490 (83.8)329 (2.9)2,027,161 (84.2)

This study identified the incidence and prevalence of PAD and PAD treatment trends, in-hospital deaths, and health care utilization in South Korea over the past 8 years through a retrospective analysis of national claims data.

The average PAD incidence was 2.91 per 1000 individuals from 2012 to 2018. Previously, a United States–based study used MarketScan data, which includes commercial, Medicare, and Medicaid health insurance data, to identify patients with a PAD or CLI diagnosis and found that the mean annual incidence of PAD was 2.34 [32]. A study conducted in the United Kingdom used a database of 11 million patients from 2000 to 2014 to search for symptomatic patients with PAD with at least 1 medical record in at least 2 years and found that the overall PAD incidence was 1.73 to 3.85 per 1000 individuals [33]. Our findings show that PAD incidence in South Korea was higher than in the United States and similar to the United Kingdom. Considering the characteristics of the participants, this study included claims with 1 PAD diagnosis in 8 years. However, if our analysis had used the same criteria as the study conducted in the United Kingdom, the PAD incidence in South Korea would have been lower.

The sex-stratified incidence and prevalence trends of PAD differed from those in previous studies and were higher in women than in men. The proportion of female patients with PAD ranged from 59.3% (60,552/102,153) to 61.6% (85,696/139,191), whereas for male patients, it ranged from 38.4% (53,495/139,191) to 40.7% (41,601/102,153). In a previous study, PAD incidence was 23.05 per 10,000 person-years in males, which was higher than the reported 12.37 per 10,000 person-years in females [33]. PAD has traditionally been reported to be a male-dominant disease [34]. However, PAD has recently been reported to affect women as much as men in the general population [34]. A systematic review reported that women had a slightly higher prevalence than men by the age of 75 years in high-income countries, measured by an arterial ankle brachial index (ABI) of 0.90 or less [6]. Classifying health care utilization by sex in this study revealed differences in claims between women and men. In terms of health care use, the number of tertiary hospital claims was high for men, whereas the number of clinic claims was high for women. In a Korean study, men accounted for a higher proportion than women of patients who received procedures at tertiary hospitals [35].

In our study, the PAD incidence trend among individuals in their 20s to 70s increased with age, which is similar to the findings of studies based in the United Kingdom [33] and United States [32]. Aging increases PAD-associated risk factors, such as hypertension, hyperlipidemia, and diabetes, and thereby increases the prevalence of PAD [2,36]. In terms of absolute change, patients with PAD in their 80s had the highest increase, at 1.10. Aging has increased the proportion of people in their 80s in the general population, and accordingly, the proportion of patients with PAD has also increased.

In our study, the prevalence of PAD was 3.93 and 23.55 per 1000 individuals in 2011 and 2018, respectively, indicating a steadily increasing trend, without decline. The prevalence of PAD has been reported to consistently increase [1,37]. In a study based on health insurance claims data in Germany, the number of prevalent cases of PAD consistently increased [24], which is similar to the findings of this study. In a meta-analysis, the prevalence of PAD was 5.56% in adults older than 25 years worldwide [6]. The results of this study are consistent with those of previous studies. Considering patients who do not visit hospitals due to having an asymptomatic condition, the incidence and prevalence of PAD may have been underestimated.

In this study, the number of EVR events fluctuated during the study period and increased from 933 in 2011 to 1206 in 2018. Similarly, an increasing trend in EVR events was reported for the US population from 1996 to 2011 among patients with PAD and diabetes [38]. PTA is recommended as the first-line revascularization intervention for PAD and is known to be effective, safe, and widely applicable, with few complications [13]; therefore, PTA has a positive effect on preventing major amputations [14], and the trend of PTA use has increased.

In our study, the rates of both major and minor amputations decreased slightly. The finding of a decreasing trend in major amputations over time is similar to the results of a study of patients with PAD based on health insurance claims data in Germany between 2008 and 2016 [24].

In this study, the numbers of patients who died in the hospital within 7 days and 30 days of a PAD diagnosis were 24 to 53 and 41 to 89, respectively, suggesting that a high proportion of in-hospital deaths occurred within 7 days. Patients with PAD may develop complications, such as ischemic myocardial and cerebrovascular events and sepsis [39-41], and older adults have a higher risk of complications than younger age groups [40]. Interventions and intensive monitoring of complications in the first month are necessary for hospitalized patients with PAD.

This study had some limitations. The data were claims data for health insurance that were collected through administrative processes and were not intended for research purposes. Furthermore, the previously entered diagnosis codes might not have been changed, or the doctor might have only entered the diagnosis and treatment codes that were required for the health insurance claims. Thus, the number of patients, procedures, or surgeries may have been underestimated. Furthermore, PAD was defined using disease codes only. Therefore, individuals who were not diagnosed with PAD but had CLI-associated symptoms and those with an ABI of less than 0.9 may have been excluded from the study, leading to underestimated results. As this was a retrospective study that was based on claims data, many potential confounders were not adjusted for in the analyses. Moreover, the use of descriptive statistics limits statistical inferences across study groups.

Therefore, it is necessary to carefully interpret our results on the incidence and prevalence of PAD; future studies that investigate this topic should adjust for confounders, such as risk factors, geographical heterogeneities, and medical disparities. Furthermore, we suggest that health outcomes, not only medical procedures and surgeries but also psychological well-being (eg, depression and anxiety) and quality of life, should be considered in association with PAD.

Our findings provide evidence for strategies for health promotion and intervention for patients with PAD and may help with strategies to manage risk factors, such as ceasing smoking, following a low-fat diet, and managing weight. The American Heart Association guidelines recommended walking as an exercise for controlling risk factors [15,42]. PAD causes pain when walking, which makes it difficult to carry out daily activities and can influence psychological health, such as by inducing depression and anxiety in patients with PAD. Therefore, the management of psychological health deserves attention in PAD care for aging populations.

In this study, increasing trends in incident cases and the prevalence of PAD in South Korea were observed between 2011 and 2018. PAD incidence was higher in women than men in this study. A strength of this study is that, methodologically, the epidemiological trends of the entire South Korean population and all patients with PAD in South Korea were ascertained through public data analysis. Furthermore, the health care utilization of patients with PAD was determined based on national data, which enables the generalization of results for the provision of information to undertake both prevention and treatment in the clinical setting and for further research.

Acknowledgments

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea, funded by the Ministry of Education (2019R1A2C1007185, 2020R1A6A1A03041989) and by the Brain Korea 21 Four Project, funded by the National Research Foundation of Korea and Yonsei University College of Nursing. GWR and YSY received scholarships from the Brain Korea 21 Four Project. JK received a scholarship from the Brain Korea 21 Project (Big Data–Based Interdisciplinary Education and Research for Data Science). This study used Health Insurance Review and Assessment Service research data (M20190923977). The views expressed in this paper are those of the authors and not necessarily those of the Health Insurance Review and Assessment Service or the Ministry of Health and Welfare in South Korea.

Conflicts of Interest

None declared.

Multimedia Appendix 1

Code for patients with peripheral arterial disease.

XLSX File (Microsoft Excel File), 10 KB

Multimedia Appendix 2

Procedure codes and names for patients with peripheral arterial disease.

XLSX File (Microsoft Excel File), 11 KB

  1. Fowkes FGR, Aboyans V, Fowkes FJI, McDermott MM, Sampson UKA, Criqui MH. Peripheral artery disease: epidemiology and global perspectives. Nat Rev Cardiol 2017 Mar;14(3):156-170. [CrossRef] [Medline]
  2. Hiatt WR, Armstrong EJ, Larson CJ, Brass EP. Pathogenesis of the limb manifestations and exercise limitations in peripheral artery disease. Circ Res 2015 Apr 24;116(9):1527-1539. [CrossRef] [Medline]
  3. Aboyans V, Ricco J, Bartelink M, Björck M, Brodmann M, Cohner T, et al. 2017 ESC Guidelines on the Diagnosis and Treatment of Peripheral Arterial Diseases, in collaboration with the European Society for Vascular Surgery (ESVS). Kardiol Pol 2017 Nov 22;75(11):1065-1160. [CrossRef]
  4. Aday AW, Matsushita K. Epidemiology of peripheral artery disease and polyvascular disease. Circ Res 2021 Jun 11;128(12):1818-1832 [FREE Full text] [CrossRef] [Medline]
  5. Kim M, Kim C, Kim E, Choi M. Effectiveness of mobile health-based exercise interventions for patients with peripheral artery disease: systematic review and meta-analysis. JMIR Mhealth Uhealth 2021 Feb 15;9(2):e24080 [FREE Full text] [CrossRef] [Medline]
  6. Song P, Rudan D, Zhu Y, Fowkes FJI, Rahimi K, Fowkes FGR, et al. Global, regional, and national prevalence and risk factors for peripheral artery disease in 2015: an updated systematic review and analysis. Lancet Glob Health 2019 Aug;7(8):e1020-e1030 [FREE Full text] [CrossRef] [Medline]
  7. Shu J, Santulli G. Update on peripheral artery disease: epidemiology and evidence-based facts. Atherosclerosis 2018 Aug;275:379-381 [FREE Full text] [CrossRef] [Medline]
  8. Mustapha JA, Katzen BT, Neville RF, Lookstein RA, Zeller T, Miller LE, et al. Determinants of long-term outcomes and costs in the management of critical limb ischemia: a population-based cohort study. J Am Heart Assoc 2018 Aug 21;7(16):e009724 [FREE Full text] [CrossRef] [Medline]
  9. Levin SR, Arinze N, Siracuse JJ. Lower extremity critical limb ischemia: A review of clinical features and management. Trends Cardiovasc Med 2020 Apr;30(3):125-130. [CrossRef] [Medline]
  10. Bauersachs R, Debus S, Nehler M, Huelsebeck M, Balradj J, Bowrin K, et al. A targeted literature review of the disease burden in patients with symptomatic peripheral artery disease. Angiology 2020 Apr 30;71(4):303-314. [CrossRef] [Medline]
  11. Salisbury DL, Whipple MO, Burt M, Brown RJ, Hirsch A, Foley C, et al. Translation of an evidence-based therapeutic exercise program for patients with peripheral artery disease. J Vasc Nurs 2018 Mar;36(1):23-33 [FREE Full text] [CrossRef] [Medline]
  12. Reinecke H, Unrath M, Freisinger E, Bunzemeier H, Meyborg M, Lüders F, et al. Peripheral arterial disease and critical limb ischaemia: still poor outcomes and lack of guideline adherence. Eur Heart J 2015 Apr 14;36(15):932-938. [CrossRef] [Medline]
  13. Bisdas T, Borowski M, Torsello G, First-Line Treatments in Patients With Critical Limb Ischemia (CRITISCH) Collaborators. Current practice of first-line treatment strategies in patients with critical limb ischemia. J Vasc Surg 2015 Oct;62(4):965-973.e3 [FREE Full text] [CrossRef] [Medline]
  14. Kim J, Chun D, Kim S, Yang H, Kim JH, Cho J, et al. Trends in lower limb amputation in patients with diabetic foot based on vascular intervention of peripheral arterial disease in Korea: a population-based nationwide study. J Korean Med Sci 2019 Jul 08;34(26):e178 [FREE Full text] [CrossRef] [Medline]
  15. Writing Committee Members, Gerhard-Herman MD, Gornik HL, Barrett C, Barshes NR, Corriere MA, ACC/AHA Task Force Members, et al. 2016 AHA/ACC Guideline on the Management of Patients with Lower Extremity Peripheral Artery Disease: executive summary. Vasc Med 2017 Jun;22(3):NP1-NP43. [CrossRef] [Medline]
  16. Kim C, Yang Y, Ryu G, Choi M. Risk factors associated with amputation-free survival for patients with peripheral arterial disease: a systematic review. Eur J Cardiovasc Nurs 2021 May 22;20(4):295-304. [CrossRef] [Medline]
  17. Abaraogu U, Ezenwankwo E, Dall P, Tew G, Stuart W, Brittenden J, et al. Barriers and enablers to walking in individuals with intermittent claudication: A systematic review to conceptualize a relevant and patient-centered program. PLoS One 2018 Jul 26;13(7):e0201095 [FREE Full text] [CrossRef] [Medline]
  18. Firnhaber JM, Powell CS. Lower extremity peripheral artery disease: diagnosis and treatment. Am Fam Physician 2019 Mar 15;99(6):362-369 [FREE Full text] [Medline]
  19. Signorelli SS, Marino E, Scuto S, Di Raimondo D. Pathophysiology of Peripheral Arterial Disease (PAD): A Review on Oxidative Disorders. Int J Mol Sci 2020 Jun 20;21(12):4393 [FREE Full text] [CrossRef] [Medline]
  20. Chan ASW, Ho JMC, Li JSF, Tam HL, Tang PMK. Impacts of COVID-19 pandemic on psychological well-being of older chronic kidney disease patients. Front Med (Lausanne) 2021;8:666973 [FREE Full text] [CrossRef] [Medline]
  21. Conversano C. Common psychological factors in chronic diseases. Front Psychol 2019;10:2727 [FREE Full text] [CrossRef] [Medline]
  22. Kim M, Kim Y, Ryu GW, Choi M. Functional status and health-related quality of life in patients with peripheral artery disease: a cross-sectional study. Int J Environ Res Public Health 2021 Oct 18;18(20):10941 [FREE Full text] [CrossRef] [Medline]
  23. Rafnsson SB, Fowkes G. Positive and negative well-being of older adults with symptomatic peripheral artery disease: A population-based investigation. JRSM Cardiovasc Dis 2020 Oct 20;9:2048004020961717 [FREE Full text] [CrossRef] [Medline]
  24. Kreutzburg T, Peters F, Rieß HC, Hischke S, Marschall U, Kriston L, et al. Editor's choice - comorbidity patterns among patients with peripheral arterial occlusive disease in Germany: a trend analysis of health insurance claims data. Eur J Vasc Endovasc Surg 2020 Jan;59(1):59-66 [FREE Full text] [CrossRef] [Medline]
  25. Kim H, Kim S, Han S, Rane PP, Fox KM, Qian Y, et al. Prevalence and incidence of atherosclerotic cardiovascular disease and its risk factors in Korea: a nationwide population-based study. BMC Public Health 2019 Aug 14;19(1):1112 [FREE Full text] [CrossRef] [Medline]
  26. Kim J, Yoon S, Kim L, Kim D. Towards actualizing the value potential of Korea Health Insurance Review and Assessment (HIRA) data as a resource for health research: strengths, limitations, applications, and strategies for optimal use of HIRA data. J Korean Med Sci 2017 May;32(5):718-728 [FREE Full text] [CrossRef] [Medline]
  27. Kwon S. Thirty years of national health insurance in South Korea: lessons for achieving universal health care coverage. Health Policy Plan 2009 Jan 12;24(1):63-71. [CrossRef] [Medline]
  28. Londero LS, Hoegh A, Houlind K, Lindholt J. Major amputation rates in patients with peripheral arterial disease aged 50 years and over in Denmark during the period 1997-2014 and their relationship with demographics, risk factors, and vascular services. Eur J Vasc Endovasc Surg 2019 Nov;58(5):729-737 [FREE Full text] [CrossRef] [Medline]
  29. Gordis L. Epidemiology, 5th edition. Philadelphia, PA: Elsevier /Saunders; 2014.
  30. Joo S, Goo Y, Ryu J, Lee S, Lee WK, Chung D, et al. Epidemiology of trichomoniasis in South Korea and increasing trend in incidence, health insurance review and assessment 2009-2014. PLoS One 2016 Dec 9;11(12):e0167938 [FREE Full text] [CrossRef] [Medline]
  31. Lin C, Li C, Hsiao C, Liu C, Yang S, Lee C, et al. Time trend analysis of the prevalence and incidence of diagnosed type 2 diabetes among adults in Taiwan from 2000 to 2007: a population-based study. BMC Public Health 2013 Apr 09;13:318 [FREE Full text] [CrossRef] [Medline]
  32. Nehler MR, Duval S, Diao L, Annex BH, Hiatt WR, Rogers K, et al. Epidemiology of peripheral arterial disease and critical limb ischemia in an insured national population. J Vasc Surg 2014 Sep;60(3):686-95.e2 [FREE Full text] [CrossRef] [Medline]
  33. Cea-Soriano L, Fowkes FGR, Johansson S, Allum AM, García Rodriguez LA. Time trends in peripheral artery disease incidence, prevalence and secondary preventive therapy: a cohort study in The Health Improvement Network in the UK. BMJ Open 2018 Jan 21;8(1):e018184 [FREE Full text] [CrossRef] [Medline]
  34. Schramm K, Rochon P. Gender differences in peripheral vascular disease. Semin Intervent Radiol 2018 Mar 05;35(1):9-16 [FREE Full text] [CrossRef] [Medline]
  35. Ko Y, Ahn C, Min P, Lee J, Yoon C, Yu CW, K-VIS investigators. Baseline characteristics of a retrospective patient cohort in the Korean Vascular Intervention Society Endovascular Therapy in Lower Limb Artery Diseases (K-VIS ELLA) Registry. Korean Circ J 2017 Jul;47(4):469-476 [FREE Full text] [CrossRef] [Medline]
  36. Hiramoto JS, Katz R, Ix JH, Wassel C, Rodondi N, Windham BG, Health ABC study. Sex differences in the prevalence and clinical outcomes of subclinical peripheral artery disease in the Health, Aging, and Body Composition (Health ABC) study. Vascular 2014 Apr 13;22(2):142-148 [FREE Full text] [CrossRef] [Medline]
  37. Fowkes FGR, Rudan D, Rudan I, Aboyans V, Denenberg JO, McDermott MM, et al. Comparison of global estimates of prevalence and risk factors for peripheral artery disease in 2000 and 2010: a systematic review and analysis. Lancet 2013 Oct 19;382(9901):1329-1340. [CrossRef] [Medline]
  38. Goodney PP, Tarulli M, Faerber AE, Schanzer A, Zwolak RM. Fifteen-year trends in lower limb amputation, revascularization, and preventive measures among medicare patients. JAMA Surg 2015 Jan 01;150(1):84-86 [FREE Full text] [CrossRef] [Medline]
  39. 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 Jul 05;124(1):17-23 [FREE Full text] [CrossRef] [Medline]
  40. Skonetzki S, Lüders F, Engelbertz C, Malyar NM, Freisinger E, Meyborg M, et al. Aging and outcome in patients with peripheral artery disease and critical limb ischemia. J Am Med Dir Assoc 2016 Oct 01;17(10):927-932. [CrossRef] [Medline]
  41. Kim M, Yang YS, Ko Y, Choi M. Major adverse events in patients with peripheral artery disease after endovascular revascularization: a retrospective study. J Clin Med 2022 May 01;11(9):2547 [FREE Full text] [CrossRef] [Medline]
  42. Criqui MH, Aboyans V. Epidemiology of peripheral artery disease. Circ Res 2015 Apr 24;116(9):1509-1526. [CrossRef]


ABI: arterial ankle brachial index
CLI: clinical limb ischemia
EVR: endovascular revascularization
HIRA: Health Insurance Review and Assessment
ICD-10: International Classification of Diseases, Tenth Revision
KCD-7: Korean Standard Classification of Diseases, 7th revision
PAD: peripheral arterial disease
PTA: percutaneous transluminal angiography


Edited by T Sanchez, A Mavragani; submitted 12.11.21; peer-reviewed by ASW Chan , C Zeng; comments to author 18.08.22; revised version received 01.10.22; accepted 13.10.22; published 18.11.22

Copyright

©Gi Wook Ryu, Young Shin Park, Jeewuan Kim, Yong Sook Yang, Young-Guk Ko, Mona Choi. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 18.11.2022.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.