[Cost-effectiveness of treatment of type 2 diabetes mellitus in México]. / Costo-efectividad del tratamiento de la diabetes mellitus tipo 2 en México.

Background: Type 2 Diabetes Mellitus (DM2) is a public health and socioeconomic problem, generating direct medical costs for its treatment. Objective: To analyze the cost-effectiveness of monotherapy and bitherapy treatments in patients with DM2. Methods: Cost-effectiveness, observational, ambispective, cross-sectional and analytical analysis of files in a first level medical unit. The data in the cost matrix was executed with the Office Excel 2010 program; the most prescribed drug was identified and compared with monotherapy and bitherapy. Results: The annual direct medical costs of the total population were drug cost $118,561.70MN, hospitalization cost $243,756.00MN, consultation cost $327,414.00MN and clinical trial cost $2416.79MN, obtaining an annual total of $692,148.58MN. metformin was the most indicated in monotherapy (88.4%) and as standard therapy it has higher cost-effectiveness compared to glibenclamide. In bitherapy it was metformin/glibenclamide (35.7%) versus the therapeutics of metformin/NPH insulin, metformin/insulin glargine and metformin/dapagliflozin, which had a better cost-effective result, with an incremental cost effectiveness of -$1,128,428.50MN, -$34,365.00 MN, -$119,848.97MN respectively. Conclusions: Metformin presented a better cost-effectiveness ratio in monotherapy, while in bitherapy it was the metformin/NPH insulin association.

Introducción: La Diabetes Mellitus tipo 2 (DM2) es un problema de salud pública y socioeconómico, tanto por su alta incidencia como por la generación de los costos médicos directos para su tratamiento. Objetivo: Analizar el costo-efectividad de los tratamientos en monoterapia y biterapia en pacientes con DM2. Métodos: Análisis costo-efectividad, observacional, ambispectivo, transversal y analítico. Análisis de expedientes en una unidad médica de primer nivel. Se ejecutaron los datos en la matriz de costos con el programa Office Excel 2010; se identificó el fármaco más prescrito, se comparó con monoterapia y biterapia. Resultados: Los costos médicos directos anuales del total de la población fueron: costo del medicamento $118,561.70MN, costo por hospitalización $243,756.00MN, costo por consultas $ 327,414.00MN y costo por estudios clínicos $2416.79MN, obteniendo un total anual de $692,148.58MN. La metformina fue la más indicada en monoterapia (88.4%) y como terapéutica estándar tiene mayor costo-efectividad comparada con la glibenclamida. En biterapia fue metformina/glibenclamida (35.7%) versus las terapéuticas de metformina/insulina NPH, metformina/insulina glargina y metformina/dapagliflozina, las cuales tuvieron un resultando más costo-efectivo, con un costo efectividad incremental de -$1,128,428.50MN, -$34,365.00MN, -$119,848.97MN respectivamente. Conclusiones: La metformina presento mejor relación costo efectividad en monoterapia, mientras que en biterapia fue la asociación metformina/Insulina NPH.

Genetic variations associated with pharmacoresistant epilepsy (Review).

Epilepsy is a common, serious neurological disorder worldwide. Although this disease can be successfully treated in most cases, not all patients respond favorably to medical treatments, which can lead to pharmacoresistant epilepsy. Drug­resistant epilepsy can be caused by a number of mechanisms that may involve environmental and genetic factors, as well as disease­ and drug­related factors. In recent years, numerous studies have demonstrated that genetic variation is involved in the drug resistance of epilepsy, especially genetic variations found in drug resistance­related genes, including the voltage­dependent sodium and potassium channels genes, and the metabolizer of endogenous and xenobiotic substances genes. The present review aimed to highlight the genetic variants that are involved in the regulation of drug resistance in epilepsy; a comprehensive understanding of the role of genetic variation in drug resistance will help us develop improved strategies to regulate drug resistance efficiently and determine the pathophysiological processes that underlie this common human neurological disease.