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Prevalence and factors associated with peripheral artery disease among patients with diabetes mellitus: A cross-sectional study at tertiary hospital in Eastern Uganda

Imalingat, J.; Muyinda, A.; Iraguha, D.; Katuramu, R.; Masaba, P.; Apio, E.; Kebesu, J.; Nankunda, O.; Kirabo, E.; Epuitai, J.; Bwayo, D.

2026-06-05 cardiovascular medicine
10.64898/2026.06.03.26354843 medRxiv
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Abstract Background Peripheral artery disease (PAD) is a major contributor to morbidity and mortality, particularly among individuals with diabetes mellitus (DM), in whom its prevalence is markedly increased. PAD is often asymptomatic and under-diagnosed, especially in low-resource settings. This study aimed to determine the prevalence of PAD and associated factors among adults with DM in Eastern Uganda. Methods We conducted a hospital-based cross-sectional study at Mbale Regional Referral Hospital from 10th/12/ 2024 to 30th/4/2025. A total of 300 adult patients with DM were consecutively enrolled. Data on sociodemographic characteristics, clinical characteristics, comorbidities, and behavioural risk factors were collected using an interviewer-administered data tool. PAD was assessed using the ankle-brachial index (ABI), defined as [&le;] 0.90. Modified Poisson regression was used to identify factors associated with PAD. As a secondary measure for PAD, we administered the Edinburgh Claudication Questionnaire (ECQ) to capture symptomatic PAD. Results The majority of the participants had a low fruit intake (68%), physical inactivity (54%), and elevated low-density lipoprotein (60%). The prevalence of PAD as measured by ABI was 42.3% (127/300; 95% CI 0.38-0.48), while the magnitude of PAD as measured by ECQ, combining participants with possible claudication and definite claudication was 37.3% 95% CI 31.9 - 42.8). Out of participants with PAD, 15.8% (20/127) were classified as having severe PAD (ABI <0.4). Socio-demographic and clinical factors were assessed for association with PAD. We found no evidence of association between the examined factors such as age (aPR 1.24 95% CI 0.73 - 2.09), sex (aPR 1.46 95% CI 0.84 - 2.55), cholesterol level (aPR 1.39 95% CI 0.86 - 2.25), glycemic control (aPR 1.35 95% CI 0.72 - 2.53), and sedentary behaviour (aPR 1.28 95% CI 0.79-2.08) and PAD. Conclusion The prevalence of PAD was high among adults with DM in Eastern Uganda. Routine health education, and ABI screening of PAD should be done for patients living with DM. The absence of significant associations despite high prevalence of PAD may reflect unmeasured factors e.g. chronic inflammation that may be unique to this population, future prospective studies with larger sample size and more detailed objective measures e.g. inflammatory markers are needed to determine locally relevant modifiable risk factors.

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