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Comparison of global estimates of prevalence and risk factors for peripheral artery disease in 2000 and 2010: a systematic review and analysis

Identifieur interne : 005708 ( PascalFrancis/Curation ); précédent : 005707; suivant : 005709

Comparison of global estimates of prevalence and risk factors for peripheral artery disease in 2000 and 2010: a systematic review and analysis

Auteurs : F. Gerald R. Fowkes [Royaume-Uni] ; Diana Rudan [Royaume-Uni, Croatie] ; Igor Rudan [Royaume-Uni] ; Victor Aboyans [France] ; Julie O. Denenberg [États-Unis] ; Mary M. Mcdermott [États-Unis] ; Paul E. Norman [Australie] ; Uchechukwe K. A. Sampson [États-Unis] ; Linda J. Williams [Royaume-Uni] ; George A. Mensah [États-Unis] ; Michael H. Criqui [États-Unis]

Source :

RBID : Pascal:13-0327371

Descripteurs français

English descriptors

Abstract

Background Lower extremity peripheral artery disease is the third leading cause of atherosclerotic cardiovascular morbidity, following coronary artery disease and stroke. This study provides the first comparison of the prevalence of peripheral artery disease between high-income countries (HIC) and low-income or middle-income countries (LMIC), establishes the primary risk factors for peripheral artery disease in these settings, and estimates the number of people living with peripheral artery disease regionally and globally. Methods We did a systematic review of the literature on the prevalence of peripheral artery disease in which we searched for community-based studies since 1997 that defined peripheral artery disease as an ankle brachial index (ABI) lower than or equal to 0.90. We used epidemiological modelling to define age-specific and sex-specific prevalence rates in HIC and in LMIC and combined them with UN population numbers for 2000 and 2010 to estimate the global prevalence of peripheral artery disease. Within a subset of studies, we did meta-analyses of odds ratios (ORs) associated with 15 putative risk factors for peripheral artery disease to estimate their effect size in HIC and LMIC. We then used the risk factors to predict peripheral artery disease numbers in eight WHO regions (three HIC and five LMIC). Findings 34 studies satisfied the inclusion criteria, 22 from HIC and 12 from LMIC, including 112027 participants, of which 9347 had peripheral artery disease. Sex-specific prevalence rates increased with age and were broadly similar in HIC and LMIC and in men and women. The prevalence in HIC at age 45-49 years was 5.28% (95% CI 3.38-8.17%) in women and 5.41% (3.41-8.49%) in men, and at age 85-89 years, it was 18.38% (11.16-28.76%) in women and 18.83% (12.03-28.25%) in men. Prevalence in men was lower in LMIC than in HIC (2.89% [2.04-4.07%] at 45-49 years and 14.94% [9.58-22.56%] at 85-89 years). In LMIC, rates were higher in women than in men, especially at younger ages (6.31% [4.86-8.15%] of women aged 45-49 years). Smoking was an important risk factor in both HIC and LMIC, with meta-OR for current smoking of 2.72 (95% CI 2.39-3.09) in HIC and 1.42 (1.25-1.62) in LMIC, followed by diabetes (1.88 [1.66-2.14] vs 1.47 [1.29-1.68]), hypertension (1.55 [1.42-1.71] vs 1.36 [1.24-1.50]), and hypercholesterolaemia (1.19 [1.07-1.33] vs 1.14 [1.03-1.25]). Globally, 202 million people were living with peripheral artery disease in 2010, 69.7% of them in LMIC, including 54.8 million in southeast Asia and 45.9 million in the western Pacific Region. During the preceding decade the number of individuals with peripheral artery disease increased by 28.7% in LMIC and 13.1% in HIC. Interpretation In the 21st century, peripheral artery disease has become a global problem. Governments, non-governmental organisations, and the private sector in LMIC need to address the social and economic consequences, and assess the best strategies for optimum treatment and prevention of this disease.
pA  
A01 01  1    @0 0140-6736
A02 01      @0 LANCAO
A03   1    @0 Lancet : (Br. ed.)
A05       @2 382
A06       @2 9901
A08 01  1  ENG  @1 Comparison of global estimates of prevalence and risk factors for peripheral artery disease in 2000 and 2010: a systematic review and analysis
A11 01  1    @1 FOWKES (F. Gerald R.)
A11 02  1    @1 RUDAN (Diana)
A11 03  1    @1 RUDAN (Igor)
A11 04  1    @1 ABOYANS (Victor)
A11 05  1    @1 DENENBERG (Julie O.)
A11 06  1    @1 MCDERMOTT (Mary M.)
A11 07  1    @1 NORMAN (Paul E.)
A11 08  1    @1 SAMPSON (Uchechukwe K. A.)
A11 09  1    @1 WILLIAMS (Linda J.)
A11 10  1    @1 MENSAH (George A.)
A11 11  1    @1 CRIQUI (Michael H.)
A14 01      @1 Centre for Population Health Sciences, University of Edinburgh @2 Edinburgh @3 GBR @Z 1 aut. @Z 2 aut. @Z 3 aut. @Z 9 aut.
A14 02      @1 University Hospital Dubrava @2 Zagreb @3 HRV @Z 2 aut.
A14 03      @1 Department of Cardiology, Dupuytren University Hospital @2 Limoges @3 FRA @Z 4 aut.
A14 04      @1 INSERM U1094, Tropical Neuro-epidemiology @2 Limoges @3 FRA @Z 4 aut.
A14 05      @1 Department of Family and Preventive Medicine, University of California @2 San Diego, CA @3 USA @Z 5 aut. @Z 11 aut.
A14 06      @1 Department of Medicine and Preventive Medicine, Northwestern University Feinberg School @2 Chicago, IL @3 USA @Z 6 aut.
A14 07      @1 School of Surgery, University of Western Australia @2 Fremantle, WA @3 AUS @Z 7 aut.
A14 08      @1 Cardiovascular Medicine Division, Vanderbilt University Medical Center @2 Nashville, TN @3 USA @Z 8 aut.
A14 09      @1 Immediate Office of the Director, National Heart, Lung, and Blood Institute, National Institutes of Health @2 Bethesda, MD @3 USA @Z 10 aut.
A20       @1 1329-1340
A21       @1 2013
A23 01      @0 ENG
A43 01      @1 INIST @2 5004 @5 354000508224780100
A44       @0 0000 @1 © 2013 INIST-CNRS. All rights reserved.
A45       @0 71 ref.
A47 01  1    @0 13-0327371
A60       @1 P
A61       @0 A
A64 01  1    @0 Lancet : (British edition)
A66 01      @0 GBR
C01 01    ENG  @0 Background Lower extremity peripheral artery disease is the third leading cause of atherosclerotic cardiovascular morbidity, following coronary artery disease and stroke. This study provides the first comparison of the prevalence of peripheral artery disease between high-income countries (HIC) and low-income or middle-income countries (LMIC), establishes the primary risk factors for peripheral artery disease in these settings, and estimates the number of people living with peripheral artery disease regionally and globally. Methods We did a systematic review of the literature on the prevalence of peripheral artery disease in which we searched for community-based studies since 1997 that defined peripheral artery disease as an ankle brachial index (ABI) lower than or equal to 0.90. We used epidemiological modelling to define age-specific and sex-specific prevalence rates in HIC and in LMIC and combined them with UN population numbers for 2000 and 2010 to estimate the global prevalence of peripheral artery disease. Within a subset of studies, we did meta-analyses of odds ratios (ORs) associated with 15 putative risk factors for peripheral artery disease to estimate their effect size in HIC and LMIC. We then used the risk factors to predict peripheral artery disease numbers in eight WHO regions (three HIC and five LMIC). Findings 34 studies satisfied the inclusion criteria, 22 from HIC and 12 from LMIC, including 112027 participants, of which 9347 had peripheral artery disease. Sex-specific prevalence rates increased with age and were broadly similar in HIC and LMIC and in men and women. The prevalence in HIC at age 45-49 years was 5.28% (95% CI 3.38-8.17%) in women and 5.41% (3.41-8.49%) in men, and at age 85-89 years, it was 18.38% (11.16-28.76%) in women and 18.83% (12.03-28.25%) in men. Prevalence in men was lower in LMIC than in HIC (2.89% [2.04-4.07%] at 45-49 years and 14.94% [9.58-22.56%] at 85-89 years). In LMIC, rates were higher in women than in men, especially at younger ages (6.31% [4.86-8.15%] of women aged 45-49 years). Smoking was an important risk factor in both HIC and LMIC, with meta-OR for current smoking of 2.72 (95% CI 2.39-3.09) in HIC and 1.42 (1.25-1.62) in LMIC, followed by diabetes (1.88 [1.66-2.14] vs 1.47 [1.29-1.68]), hypertension (1.55 [1.42-1.71] vs 1.36 [1.24-1.50]), and hypercholesterolaemia (1.19 [1.07-1.33] vs 1.14 [1.03-1.25]). Globally, 202 million people were living with peripheral artery disease in 2010, 69.7% of them in LMIC, including 54.8 million in southeast Asia and 45.9 million in the western Pacific Region. During the preceding decade the number of individuals with peripheral artery disease increased by 28.7% in LMIC and 13.1% in HIC. Interpretation In the 21st century, peripheral artery disease has become a global problem. Governments, non-governmental organisations, and the private sector in LMIC need to address the social and economic consequences, and assess the best strategies for optimum treatment and prevention of this disease.
C02 01  X    @0 002B01
C02 02  X    @0 002B30A01A
C03 01  X  FRE  @0 Etude comparative @5 02
C03 01  X  ENG  @0 Comparative study @5 02
C03 01  X  SPA  @0 Estudio comparativo @5 02
C03 02  X  FRE  @0 Estimation @5 03
C03 02  X  ENG  @0 Estimation @5 03
C03 02  X  SPA  @0 Estimación @5 03
C03 03  X  FRE  @0 Prévalence @5 05
C03 03  X  ENG  @0 Prevalence @5 05
C03 03  X  SPA  @0 Prevalencia @5 05
C03 04  X  FRE  @0 Epidémiologie @5 06
C03 04  X  ENG  @0 Epidemiology @5 06
C03 04  X  SPA  @0 Epidemiología @5 06
C03 05  X  FRE  @0 Facteur risque @5 08
C03 05  X  ENG  @0 Risk factor @5 08
C03 05  X  SPA  @0 Factor riesgo @5 08
C03 06  X  FRE  @0 Artère @5 09
C03 06  X  ENG  @0 Artery @5 09
C03 06  X  SPA  @0 Arteria @5 09
C03 07  X  FRE  @0 Maladie @5 11
C03 07  X  ENG  @0 Disease @5 11
C03 07  X  SPA  @0 Enfermedad @5 11
C03 08  X  FRE  @0 2000-2010 @5 12
C03 08  X  ENG  @0 2000-2010 @5 12
C03 08  X  SPA  @0 2000-2010 @5 12
C03 09  X  FRE  @0 Revue systématique @2 FM @5 17
C03 09  X  ENG  @0 Systematic review @2 FM @5 17
C03 09  X  SPA  @0 Revisión sistemática @2 FM @5 17
C03 10  X  FRE  @0 Médecine @5 18
C03 10  X  ENG  @0 Medicine @5 18
C03 10  X  SPA  @0 Medicina @5 18
C07 01  X  FRE  @0 Appareil circulatoire @5 37
C07 01  X  ENG  @0 Circulatory system @5 37
C07 01  X  SPA  @0 Aparato circulatorio @5 37
C07 02  X  FRE  @0 Vaisseau sanguin @5 38
C07 02  X  ENG  @0 Blood vessel @5 38
C07 02  X  SPA  @0 Vaso sanguíneo @5 38
N21       @1 308
N44 01      @1 OTO
N82       @1 OTO

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Pascal:13-0327371

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<name sortKey="Mcdermott, Mary M" sort="Mcdermott, Mary M" uniqKey="Mcdermott M" first="Mary M." last="Mcdermott">Mary M. Mcdermott</name>
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<name sortKey="Sampson, Uchechukwe K A" sort="Sampson, Uchechukwe K A" uniqKey="Sampson U" first="Uchechukwe K. A." last="Sampson">Uchechukwe K. A. Sampson</name>
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<country>États-Unis</country>
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<name sortKey="Williams, Linda J" sort="Williams, Linda J" uniqKey="Williams L" first="Linda J." last="Williams">Linda J. Williams</name>
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<inist:fA14 i1="01">
<s1>Centre for Population Health Sciences, University of Edinburgh</s1>
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<term>2000-2010</term>
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<term>Estimation</term>
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<term>Prevalence</term>
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<div type="abstract" xml:lang="en">Background Lower extremity peripheral artery disease is the third leading cause of atherosclerotic cardiovascular morbidity, following coronary artery disease and stroke. This study provides the first comparison of the prevalence of peripheral artery disease between high-income countries (HIC) and low-income or middle-income countries (LMIC), establishes the primary risk factors for peripheral artery disease in these settings, and estimates the number of people living with peripheral artery disease regionally and globally. Methods We did a systematic review of the literature on the prevalence of peripheral artery disease in which we searched for community-based studies since 1997 that defined peripheral artery disease as an ankle brachial index (ABI) lower than or equal to 0.90. We used epidemiological modelling to define age-specific and sex-specific prevalence rates in HIC and in LMIC and combined them with UN population numbers for 2000 and 2010 to estimate the global prevalence of peripheral artery disease. Within a subset of studies, we did meta-analyses of odds ratios (ORs) associated with 15 putative risk factors for peripheral artery disease to estimate their effect size in HIC and LMIC. We then used the risk factors to predict peripheral artery disease numbers in eight WHO regions (three HIC and five LMIC). Findings 34 studies satisfied the inclusion criteria, 22 from HIC and 12 from LMIC, including 112027 participants, of which 9347 had peripheral artery disease. Sex-specific prevalence rates increased with age and were broadly similar in HIC and LMIC and in men and women. The prevalence in HIC at age 45-49 years was 5.28% (95% CI 3.38-8.17%) in women and 5.41% (3.41-8.49%) in men, and at age 85-89 years, it was 18.38% (11.16-28.76%) in women and 18.83% (12.03-28.25%) in men. Prevalence in men was lower in LMIC than in HIC (2.89% [2.04-4.07%] at 45-49 years and 14.94% [9.58-22.56%] at 85-89 years). In LMIC, rates were higher in women than in men, especially at younger ages (6.31% [4.86-8.15%] of women aged 45-49 years). Smoking was an important risk factor in both HIC and LMIC, with meta-OR for current smoking of 2.72 (95% CI 2.39-3.09) in HIC and 1.42 (1.25-1.62) in LMIC, followed by diabetes (1.88 [1.66-2.14] vs 1.47 [1.29-1.68]), hypertension (1.55 [1.42-1.71] vs 1.36 [1.24-1.50]), and hypercholesterolaemia (1.19 [1.07-1.33] vs 1.14 [1.03-1.25]). Globally, 202 million people were living with peripheral artery disease in 2010, 69.7% of them in LMIC, including 54.8 million in southeast Asia and 45.9 million in the western Pacific Region. During the preceding decade the number of individuals with peripheral artery disease increased by 28.7% in LMIC and 13.1% in HIC. Interpretation In the 21st century, peripheral artery disease has become a global problem. Governments, non-governmental organisations, and the private sector in LMIC need to address the social and economic consequences, and assess the best strategies for optimum treatment and prevention of this disease.</div>
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