Prevalence of peripheral artery disease in the elderly population in urban and rural areas of Central Africa: The EPIDEMCA study

European Journal of Preventive Cardiology

Volumn 22, Issue 11, 2015, Pages 1462-1472

  Desormais, Ileana ^a,b   Aboyans, Victor ^a,b   Guerchet, Maëlenn ^a   Ndamba Bandzouzi, Bébène ^c   Mbelesso, Pascal ^d   Dantoine, Thierry ^b,e   Mohty, Dania ^a,b   Marin, Benoît ^a,b   Preux, Pierre Marie ^a,b   Lacroix, Philippe ^a,b  

^a UNIVERSITÉ DE LIMOGES   (France)

^b DUPUYTREN UNIVERSITY HOSPITAL   (France)

^c Brazzaville University Hospital   (Congo)

^d Amitié Hospital   (South Africa)

^e UNIVERSITÉ DE LIMOGES   (France)

Author keywords

Ankle brachial index; elderly; epidemiology Africa; peripheral artery disease

Indexed keywords

ALCOHOL;

ABDOMINAL OBESITY; AGE; AGED; ANKLE BRACHIAL INDEX; ARTICLE; CARDIOVASCULAR RISK; CENTRAL AFRICA; DIABETES MELLITUS; DRINKING BEHAVIOR; DYSLIPIDEMIA; EDUCATIONAL STATUS; FEMALE; GERIATRIC PATIENT; HUMAN; HYPERTENSION; MAJOR CLINICAL STUDY; MALE; PERIPHERAL OCCLUSIVE ARTERY DISEASE; PREVALENCE; PRIORITY JOURNAL; RURAL AREA; SEX DIFFERENCE; SMOKING; UNDERWEIGHT; URBAN AREA; URBAN RURAL DIFFERENCE; AGE DISTRIBUTION; CLINICAL TRIAL; COMORBIDITY; CROSS-SECTIONAL STUDY; HEALTH; LIFESTYLE; MULTICENTER STUDY; MULTIVARIATE ANALYSIS; ODDS RATIO; PERIPHERAL ARTERIAL DISEASE; RISK ASSESSMENT; RISK FACTOR; SEX RATIO; SOCIOECONOMICS; STATISTICAL MODEL; TIME FACTOR; VERY ELDERLY;

AFRICA, CENTRAL; AGE DISTRIBUTION; AGE FACTORS; AGED; AGED, 80 AND OVER; ANKLE BRACHIAL INDEX; COMORBIDITY; CROSS-SECTIONAL STUDIES; FEMALE; HUMANS; LIFE STYLE; LOGISTIC MODELS; MALE; MULTIVARIATE ANALYSIS; ODDS RATIO; PERIPHERAL ARTERIAL DISEASE; PREVALENCE; RISK ASSESSMENT; RISK FACTORS; RURAL HEALTH; SEX DISTRIBUTION; SEX FACTORS; SOCIOECONOMIC FACTORS; TIME FACTORS; URBAN HEALTH;

EID: 84944219711     PISSN: 20474873     EISSN: 20474881     Source Type: Journal    
DOI: 10.1177/2047487314557945     Document Type: Article

References (30)

1. Hirsch AT, Hartman L, Town RJ, et al. National health care costs of peripheral arterial disease in the Medicare population. Vasc Med 2008; 13: 209-215.
2. Subherwal S, Patel MR and Kober L. Peripheral artery disease is a coronary heart disease risk equivalent among both men and women: results from a nationwide study. Eur J Prev Cardiol. Epub ahead of print 7 January 2014. DOI: 10.1177/2047487313519344.
3. Criqui MH, Vargas V, Denenberg JO, et al. Ethnicity and peripheral arterial disease: The San Diego population study. Circulation 2005; 112: 2703-2707.
4. Fowkes FG, Rudan D, Rudan I, 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; 382: 1329-1340.
5. World Population Prospect (WPP). The 2002 revision and world urbanisation prospects: The (2003) Revision. Available at: http://esa.un.org/unup (2005).
6. Fowkes FG, Thorogood M, Connor MD, et al. Distribution of a subclinical marker of cardiovascular risk, the ankle brachial index, in a rural African population: SASPI study. Eur J Cardiovasc Prev Rehabil 2006; 13: 964-969.
7. Guerchet M, Aboyans V, Mbelesso P, et al. Epidemiology of peripheral artery disease in elder general population of two cities of Central Africa: Bangui and Brazzaville. Eur J Vasc Endovasc Surg 2012; 44: 164-169.
8. Guerchet M, Mbelesso P, Ndamba-Bandouzi B, et al. Epidemiology of dementia in Central Africa (EPIDEMCA): Protocol for a multicentre population-based study in rural and urban areas of the Central African Republic and the Republic of Congo. Springerplus 2014; 3: 338-338.
9. The 10/66 Dementia Research Group. Methodological issues in population-based research into dementia in developing countries. A position paper from the 10/66 Dementia Research Group. Int J Geriatr Psychiatry 2000; 15: 21-30.
10. Prince MJ,. The 10/66 dementia research group-10 years on. Indian J Psychiatry 2009; 51: 8-15.
11. Paraïso MN, Houinato D, Guerchet M, et al. Validation of the use of historical events to estimate the age of subjects aged 65 years and over in Cotonou (Benin). Neuroepidemiology 2010; 35: 12-16.
12. Alberti KG, Eckel RH, Grundy SM, et al. Harmonizing the metabolic syndrome: A joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009; 120: 1640-1645.
13. World Health Organization: Physical status: The use and interpretation of anthropometry. Report of a WHO Expert Committee. Technical Report Series No. 854. Geneva: World Health Organization, 2003.
14. Aboyans V, Lacroix P, Lebourdon A, et al. The intra and interobserver variability of ankle-arm blood pressure index according to its mode of calculation. J Clin Epidemiol 2003; 56: 215-220.
15. Aboyans V, Criqui MH, Abraham P, et al. Measurement and interpretation of the ankle-brachial index: A scientific statement from the American Heart Association. Circulation 2012; 126: 2890-2909.
16. Aboyans V, Criqui MH, McClelland RL, et al. Intrinsic contribution of gender and ethnicity to normal ankle-brachial index values: The Multi-Ethnic Study of Atherosclerosis (MESA). J Vasc Surg 2007; 45: 319-327.
17. Aboyans V and Criqui MH. The epidemiology of peripheral arterial disease. In: Robert Dieter (ed.) Peripheral arterial disease. McGrawHill, 2009, pp.1-25.
18. Eraso LH, Fukaya E, Mohler ER III, et al. Peripheral arterial disease, prevalence and cumulative risk factor profile analysis. Eur J Prevent Cardiol 2012; 21: 704-711.
19. Cui R, Iso H, Yamagishi K, et al. Ankle-arm blood pressure index and cardiovascular risk factors in elderly Japanese men. Hypertens Res 2003; 26: 377-382.
20. Meijer WT, Hoes AW, Rutgers D, et al. Peripheral arterial disease in the elderly: The Rotterdam Study. Arterioscler Thromb Vasc Biol 1998; 18: 185-192.
21. Clairotte C, Retout S, Potier L, et al. Automated ankle-brachial pressure index measurement by clinical staff for peripheral arterial disease diagnosis in nondiabetic and diabetic patients. Diabetes Care 2009; 32: 1231-1236.
22. Aboyans V, Ho E, Denenberg JO, et al. The association between elevated ankle systolic pressures and peripheral occlusive arterial disease in diabetic and nondiabetic subjects. J Vasc Surg 2008; 48: 1197-1203.
23. Aboyans V, Lacroix P, Tran MH, et al. The prognosis of diabetic patients with high ankle-brachial index depends on the coexistence of occlusive peripheral artery disease. J Vasc Surg 2011; 53: 984-991.
24. Ix JH, Biggs ML, Kizer JR, et al. Association of body mass index with peripheral arterial disease in older adults: The Cardiovascular Health Study. Am J Epidemiol 2011; 174: 1036-1043.
25. Kannel WB, McGee DL,. Update on some epidemiologic features of intermittent claudication: The Framingham Study. J Am Geriatr Soc 1985; 33: 13-18.
26. Curb JD, Masaki K, Rodriguez BL, et al. Peripheral artery disease and cardiovascular risk factors in the elderly. The Honolulu Heart Program. Arterioscler Thromb Vasc Biol 1996; 16: 1495-1500.
27. Fabsitz RR, Sidawy AN, Go O, et al. Prevalence of peripheral arterial disease and associated risk factors in American Indians: The Strong Heart Study. Am J Epidemiol 1999; 149: 330-338.
28. Sumner DS, Noninvasive assessment of peripheral arterial occlusive disease. In: Rutherford RB, (ed.). Vascular surgery, 3rd ed. Philadelphia, PA: WB Saunders, 1989, pp. 61-111.
29. Carter SA, Tate RB,. Value of toe pulse waves in addition to systolic pressures in the assessment of the severity of peripheral arterial disease and critical limb ischaemia. J Vasc Surg 1996; 24: 258-265.
30. Suominen V, Rantanen T, Venermo M, et al. Prevalence and risk factors of PAD among patients with elevated ABI. Eur J Vasc Endovasc Surg 2008; 35: 709-714.