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Research Article Open access CC BY 4.0

Predictors of Peripheral Artery Disease among Elderly Respondents in an Urban Hospital, Edo State Nigeria

Iboro Samuel Akpan, Ferguson Ayemere Ehimen, Babatunde Adedokun, Osaretin Oviasu

Journal of Advances in Medicine and Medical Research · pp. 105–115 · Published 19 Mar 2021

10.9734/jammr/2021/v33i530853

Abstract

Peripheral artery disease (PAD) potentially affects health-related Quality of Life, Disability Adjusted Life Years (DALYs) and is a strong prognostic marker for future cardiovascular events in elderly population. PAD commonly affects the elderly but may go undiagnosed in them, probably due to the presence of other morbidities like osteoarthritis and associated muscle spasm. Aim. The aim of this study was to determine the predictors of PAD in elderly by evaluating the socio-demographic and clinical characteristics in elderly patients. Methods. A cross sectional hospital based study was carried out among 370 patients aged 60 years and above attending a Tertiary Hospital from September to November 2017. A systematic random sampling technique was utilized. A structured questionnaire was administered to collect data on socio-demographic characteristics, lifestyle variables, and medical history. The Ankle Brachial Index (ABI) was used to assess for PAD. Analysis was done using Chi-square test and logistic regression.  Results. The mean age was 69.3±7 years comprising of 76.5% females, 50% of the respondents were married while 47% were widowed. After adjusting for other variables, the result of the multi-logistic regression indicated that only patients with abnormal pedal pulse were more likely to present with PAD than those with normal pedal pulse (OR=10.634, 95% CI=2.4-47.121, p=0.002). Conclusion. The study reveals that abnormal pedal pulses were significant predictors of PAD, therefore it is recommended that regular screening (clinical foot examination and ABI) should be done for elderly to achieve early detection of PAD and facilitate prompt treatment.

Elderly Peripheral Artery Disease predictors Benin City

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