Diyabetik Polinöropatiyi Predikte Eden Bağımsız Klinik ve Demografik Faktörler

Abstract

Aim: Diabetic peripheral polyneuropathies (DPP) in patients with diabetes mellitus (DM) are important complications that adversely affect the quality of life. In the Internal Medicine and Physical Medicine and Rehabilitation (PMR) outpatient clinic, predicting high-risk patients for DPP will help to diagnose it more quickly and accurately while preventing missed diagnosis. Material and Methods: A total of 399 DM patients, 173 males and 226 females, were admitted to the PMR and Internal Medicine outpatient clinic of Karabuk University Training and Research Hospital between January 2018 and August 2019 for various reasons.The diagnosis of DPP was made using the LANSS scale (Leeds Assessment of Neuropathic Symptoms and Signs), and the patients were then divided into two groups as polyneuropathic (DPP +) and non-polyneuropathic (DPP -). Demographic data, BMI, HbA1c level, DM duration, oral antidiabetic (OAD) and / or insulin use were all compared between the groups. Independent predictors for DPP were examined by logistic regression analysis.