SFEBES2022 Poster Presentations Metabolism, Obesity and Diabetes (96 abstracts)
1University of Abuja College of Health Sciences, Abuja, Nigeria; 2Memorial Hermann Southwest Hospital, Houston, Texas, USA; 3Andrew Clarke Podiatry Clinic, Cape Town, South Africa; 4Muhimbili University College of Health Science, Dar Es Salaam, Tanzania
Background: Diabetic peripheral neuropathy (DPN) is one of the microvascular complications of diabetes mellitus (DM) that causes substantial morbidities including pain, foot ulcers, lower limb amputation, and depression. It is said to affect about 50% of adults with diabetes. Understanding the predictors of DPN will help to re-focus on early preventive strategies to reduce its enormous untold morbidities.
Methods: This is a multi-center cross-sectional study aimed at determining the predictors of DPN in North Central Nigeria. One thousand and forty (1040) persons with DM were consecutively enrolled from hospitals across North Central Nigeria following institutional ethical approval and participants consents. Relevant medical history, clinical examinations, and laboratory investigations were done. IBM SPSS version 23 was used for statistical analysis. Multiple logistic regression was used to determine the predictors of DPN. Significance level used was P<0.05.
Results: Significant predictors of DPN include age (OR 1.99, P=0.003); female gender (OR 1.94, P=0.023); duration of DM (OR 2.01, P=0.032); history of systemic hypertension (OR 1.68, P=0.037); height (OR 2.02, P=0.001); generalized obesity (OR 2.02, P=0.002); central obesity (OR 1.12, P=0.047); poor systolic blood pressure (SBP) control (OR 1.78, P=0.001); poor diastolic blood pressure (DBP) control (OR 1.45, P=0.006); pulse pressure (OR 2.03, P=0.028); poor control of FPG (OR 2.43, P=0.004); poor control of 2HrPP (OR 2.83, P=0.001); and peripheral artery disease [PAD] (OR 1.89, P=0.002). The negative predictors of DPN include statins (OR 2.21, P=0.004); and antiplatelets (OR 2.46, P=0.030)
Conclusions: Significant predictors of DPN include age, duration of DM, female gender, height, history of systemic hypertension, PAD, and obesity. Others include poor control of SBP, DBP, FPG, 2HrPP, and HbA1c. Negative predictors include the use of statins, and antiplatelets which suggest possible protection, however, a prospective cohort study is needed to confirm this.