Predictive model to identify the risk of losing protective sensibility of the foot in patients with diabetes mellitus
| Autor: | Francisco José Pomares-Gómez, Ana Marchena-Rodriguez, Esther Chicharro-Luna, Emmanuel Navarro-Flores, José Francisco Javier Blanquer-Gregori, Ana Belen Ortega-Avila |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male medicine.medical_specialty Diabetic neuropathy Multivariate analysis mellitus diabetes Dermatology Logistic regression Risk Assessment Severity of Illness Index 030207 dermatology & venereal diseases 03 medical and health sciences 0302 clinical medicine Diabetic Neuropathies Peripheral nerve Risk Factors Internal medicine Diabetes mellitus Clinical Decision Rules medicine Humans In patient 030212 general & internal medicine Aged Aged 80 and over business.industry Original Articles Middle Aged medicine.disease predictive models Diabetic foot diabetic neuropathy Diabetic Foot Cross-Sectional Studies Diabetes Mellitus Type 1 Logistic Models Diabetes Mellitus Type 2 Sensory Thresholds Surgery Female business Foot (unit) diabetic foot |
| Zdroj: | Int Wound J International Wound Journal r-FISABIO: Repositorio Institucional de Producción Científica Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO) r-FISABIO. Repositorio Institucional de Producción Científica instname |
| ISSN: | 1742-481X |
| Popis: | 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 R (2) 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. |
| Databáze: | OpenAIRE |
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