RT Journal Article
T1 Predictive model to identify the risk of losing protective sensibility of the foot in patients with diabetes mellitus.
A1 Chicharro-Luna, Esther
A1 Pomares-Gómez, Francisco José
A1 Ortega-Ávila, Ana Belen
A1 Marchena-Rodríguez, Ana
A1 Blanquer-Gregori, José Francisco Javier
A1 Navarro-Flores, Emmanuel
K1 diabetic foot
K1 diabetic neuropathy
K1 mellitus diabetes
K1 predictive models
AB Diabetic neuropathy is defined as the presence of symptoms and signs of peripheral nerve dysfunction in diabetics. The aim of this study is to develop a predictive logistic model to identify the risk of losing protective sensitivity in the foot. This descriptive cross-sectional study included 111 patients diagnosed with diabetes mellitus. Participants completed a questionnaire designed to evaluate neuropathic symptoms, and multivariate analysis was subsequently performed to identify an optimal predictive model. The explanatory capacity was evaluated by calculating the R2 coefficient of Nagelkerke. Predictive capacity was evaluated by calculating sensitivity, specificity, and estimation of the area under the receiver operational curve. Protective sensitivity loss was detected in 19.1% of participants. Variables associated by multivariate analysis were: educational level (OR: 31.4, 95% CI: 2.5-383.3, P = .007) and two items from the questionnaire: one related to bleeding and wet socks (OR: 28.3, 95% CI: 3.7-215.9, P = .001) and the other related to electrical sensations (OR: 52.9, 95% CI: 4.3-643.9, P = .002), which were both statistically significant. The predictive model included the variables of age, sex, duration of diabetes, and educational level, and it had a sensitivity of 81.3% and a specificity of 95.5%. This model has a high predictive capacity to identify patients at risk of developing sensory neuropathy.
YR 2019
FD 2019-11-05
LK http://hdl.handle.net/10668/14638
UL http://hdl.handle.net/10668/14638
LA en
DS RISalud
RD Apr 6, 2025