ABSTRACT
Introducción: La neuropatía periférica diabética de fibras delgadas (NPD-fd) son diagnosticadas por pruebas biomédicas vasomotoras cuyo fundamento es la alteración de la termorregulación de la piel. Objetivos: Calcular la prevalencia y los factores asociados a NPD-fd usando imagen termográfica (IT). Métodos: Se realizó un estudio observacional, transversal analítico en una unidad especializada en el ámbito de la atención primaria, en el que se avaluó pacientes con diabetes mellitus tipo 2 mediante pruebas neurológicas periféricas como la sensibilidad táctil y vibratoria para el diagnóstico de NPD de fibras gruesas (NPDfg) y la termorregulación pasiva por IT para la NPD-fd . Ésta última se realizó en la planta del pie utilizando una cámara termográfica en la consulta ambulatoria, evaluando 5 mediciones termográficas plantares por sujeto. Luego, la asociación entre diabéticos con y sin NPD-fd fue analizada respecto a género, edad, tiempo de enfermedad diabética, tipo de tratamiento diabético, hipertensión, retinopatía, nefropatía, dieta baja en carbohidratos, actividad física, síntoma dolor y IMC. Resultados: Se estudiaron 304 pacientes con diabetes mellitus tipo 2, una edad promedio de 65.07±11.39 años, en su mayoría de sexo masculino, encontrándose una NPD-fg en 14.8 %, NPD-fd en 27.3 % y ambas NPD en 34.9%. La asociación de la NPD-fd fue únicamente con el factor de la presencia de retinopatía (α=0,02, C= 0.18). Conclusiones: Se encontró una alta prevalencia de NPD-fd usando una imagen termográfica que estuvo asociado a la presencia de retinopatía.
Introduction: Small fibers diabetic peripheral neuropathy (DPN-sf) are diagnosed by biomedical vasomotor tests whose foundation is altered skin thermoregulation. Objectives: To estimate the prevalence and factors associated with DPN-sf using thermographic imaging (TI). Methods: An observational, cross-sectional, analytical study was performed in a specialized unit in the primary care setting, in which patients with type 2 diabetes mellitus were assessed by peripheral neurological tests such as tactile and vibratory sensitivity for the diagnosis of large fibers peripheral neuropathy (DPN-lf) and passive thermoregulation by TI for DPN-sf .The latter was performed on the sole using a thermographic camera in the outpatient clinic, evaluating 5 plantar thermographic measurements per subject. Then, the association between diabetics with and without DPN-sf was analyzed concerning gender, age, time of diabetic disease, type of diabetic treatment, hypertension, retinopathy, nephropathy, low carbohydrate diet, physical activity, pain symptom, and BMI. Results: 304 patients with type 2 diabetes mellitus were studied, mean age of 65.07±11.39 years, mostly male, finding DPN-lf in 14.8 %, DPN-sf in 27.3 %, and both NPD in 34.9%. The association of DPN-sf was only with the factor of the presence of retinopathy (α=0.02, C= 0.18). Conclusions: We found a high prevalence of DPN-sf using thermographic imaging that was associated with the presence of retinopathy.
ABSTRACT
OBJECTIVE: A recent report from a non-nationally representative, geographically diverse sample in four separate communities in Peru suggests an unusually high diabetes incidence. We aimed to estimate the national diabetes incidence rate using PERUDIAB, a probabilistic, national urban population-based longitudinal study. RESEARCH DESIGN AND METHODS: 662 subjects without diabetes, selected by multistage, cluster, random sampling of households, representing the 24 administrative and the 3 (coast, highlands and jungle) natural regions across the country, from both sexes, aged 25+ years at baseline, enrolled in 2010-2012, were followed for 3.8 years. New diabetes cases were defined as fasting blood glucose ≥126 mg/dL or on medical diabetes treatment. RESULTS: There were 49 cases of diabetes in 2408 person-years follow-up. The weighted cumulative incidence of diabetes was 7.2% while the weighted incidence rate was estimated at 19.5 (95% CI 13.9 to 28.3) new cases per 1000 person-years. Older age, obesity and technical or higher education were statistically associated with the incidence of diabetes. CONCLUSION: Our results confirm that the incidence of diabetes in Peru is among the highest reported globally. The fast economic growth in the last 20 years, high overweight and obesity rates may have triggered this phenomenon.
