Validación de la Escala de Somnolencia de Epworth
Autores
Chica-Urzola, Heydy Luz
Escobar-Córdoba, Franklin
Eslava-Schmalbach, Javier
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EspañolFecha de publicación
2007
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Objetivo Validar la escala de somnolencia de Epworth en Colombia (ESE-VC). Métodos Se tomaron individuos que acudieron a centros de sueño en Bogotá, Pereira y Cali. Diseño: Ocho fases: Estudio piloto para evaluar comprensión de la ESE versión española; traducción y retrotraducción de la ESE original; prueba piloto para evaluar comprensión (n=20); validación de apariencia (expertos, n=18); consistencia interna (n=127); validez de criterio, concurrente y discriminante (n=150) con polisomnografía paralela; reproducibilidad (n=15) y sensibilidad al cambio (n=100). Resultados La ESE-VC tiene una adecuada consistencia interna (Alfa de Cronbach=0.85). Identifica sujetos con somnolencia severa, según la patología (K. Wallis Chi2=19,81, p=0.003). Discrimina los sujetos por severidad de apnea del sueño y anormalidad de la latencia de sueño (Chi2=5.391, p=0.1453) en forma clínicamente significativa y de la latencia de sueño con movimientos oculares rápidos (Chi2=9,015, p=0.0291). Es reproducible y sensible al cambio. Conclusiones: La ESE-VC es equiparable con la versión original, adaptada a las condiciones de vida urbana de la población adulta colombiana, confiable, válida y sensible a los cambios reportados, se correlaciona con la polisomnografía, en forma clínica y estadísticamente significativa.
Abstract. Objective Validating the Epworth sleepiness scale (ESS-VC) for use in Colombia. Methods Individuals were included who consulted sleep centres in Bogotá, Pereira and Cali (Colombia). Study design consisted of eight phases: a pilot study for assessing the Spanish version of the scale, translation and retro-translation of the original ESS, a pilot test for evaluating understanding (n=20), validating appearance (experts, n=18), internal consistency (n=120), validating concurrent and discriminating criteria (n=150) with parallel polysomnography, reproducibility (n=15) and sensitivity to change (n=100). Results ESE-VC presented suitable internal consistency (Cronbach's Alpha=0,85). It identified patients suffering from severe sleepiness, according to pathology (K Wallis Chi2=19,81, p=0.003). It was clinically significant in discriminating patients according to sleep apnoea severity and abnormal sleep latency (Chi2=5,391, p=0.1453) in ways, and also in REM sleep latency (Chi2=9,015, p=0.0291). It is reproducible and sensitive to change. Conclusions ESS-VC compared well with the original version. It is well adapted to urban life conditions in the Colombian adult population, reliable, valid and sensitive to reported changes. It had clinically and statistically significant correlation with polysomnography.
Abstract. Objective Validating the Epworth sleepiness scale (ESS-VC) for use in Colombia. Methods Individuals were included who consulted sleep centres in Bogotá, Pereira and Cali (Colombia). Study design consisted of eight phases: a pilot study for assessing the Spanish version of the scale, translation and retro-translation of the original ESS, a pilot test for evaluating understanding (n=20), validating appearance (experts, n=18), internal consistency (n=120), validating concurrent and discriminating criteria (n=150) with parallel polysomnography, reproducibility (n=15) and sensitivity to change (n=100). Results ESE-VC presented suitable internal consistency (Cronbach's Alpha=0,85). It identified patients suffering from severe sleepiness, according to pathology (K Wallis Chi2=19,81, p=0.003). It was clinically significant in discriminating patients according to sleep apnoea severity and abnormal sleep latency (Chi2=5,391, p=0.1453) in ways, and also in REM sleep latency (Chi2=9,015, p=0.0291). It is reproducible and sensitive to change. Conclusions ESS-VC compared well with the original version. It is well adapted to urban life conditions in the Colombian adult population, reliable, valid and sensitive to reported changes. It had clinically and statistically significant correlation with polysomnography.