Joachim Amoako , Matthan Fayia Saa , Emmanuel Bannerman-Williams , Anastasia Naa Koshie Bruce , Maame Boatemaa Ansong , Alexander Danquah , Abraham Ablorh , Wills Nii Adjetey Kwaw , Michael Adjei , Emmanuel K. Awuttey , Isabella D. Dakubo , Patience Akos Vormatu , Isaac Ekow Ennin , Charles Frederick Hayfron-Benjamin
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Abstract
Background
Globally, peripheral artery disease (PAD) affects >200 million people, disproportionately affecting people with diabetes. Prior studies characterizing the risk profile of PAD in diabetes have excluded West Africans, whose vascular biology is relevantly different. This study characterized the aggregate effect of modifiable risk factors on PAD in West Africans with diabetes.
Methods
This was a cross-sectional study among 803 Ghanaian adults with diabetes. PAD was defined as ankle-brachial pressure index ≤0.90 and/or intermittent claudication. A multivariate logistic regression model was built to identify modifiable PAD risk factors, which were used to define the number of risk factors for each participant. The odds of PAD were determined based on the number of modifiable risk factors.
Results
The mean age, diabetes duration, and HbA1c concentrations were 59.81(±9.95) years, 13.66(±7.89) years, and 8.45(±1.94) %, respectively. PAD prevalence was 25.8 %. In a multivariable regression model, hypertension [odds ratio 2.00, 95 % confidence interval 1.33–3.01], chronic kidney disease [1.54(1.11–2.14)], central obesity [1.58(1.05–2.39)], and elevated LDL-cholesterol concentration [1.42(1.02–1.97)] were independently associated with PAD. After adjustment for age, sex, and diabetes duration, the odds of PAD increased with each additional risk factor from a 2.02-fold increase [OR 2.02, 95 %CI 0.69–5.97) in the presence of two risk factors, to 3.51-fold [3.51(1.20–10.24)] for three risk factors, and nearly five-fold [4.80 (1.57–14.67)] for four risk factors.
Conclusion
West Africans with diabetes are very sensitive to the cumulative effect of hypertension, chronic kidney disease, central obesity, and elevated LDL cholesterol concentration for PAD. These findings provide data to guide PAD screening/treatment strategies.