Construcción y validación de una escala que determine la presencia de síndrome de apnea obstructiva del sueño en pacientes con sospecha clínica basada en medidas antropométricas y síntomas clínicos.
Enlaces del Item
URI: http://hdl.handle.net/10818/12469Compartir
Estadísticas
Ver Estadísticas de usoMétricas
Catalogación bibliográfica
Mostrar el registro completo del ítemAutor/es
Arias Acosta, CatalinaFecha
2014-11-14Resumen
Introducción: El síndrome de apnea obstructiva del sueño se cataloga como un problema de salud pública, debido a su alta prevalencia la cual se sitúa entre un 2% a 26 %, en la población en general , con el agravante que es sub -diagnosticada al no existir métodos de tamizaje suficientemente válidos y fiables, es así como los métodos existentes se han basado en cuestionarios o modelos clínicos que cuantifican la presencia de síntomas clínicos, dentro de los más difundidos esta la escala de Epworth que valora la somnolencia diurna, el cuestionario de Berlín que identifica los paciente con sospecha de SAOS en atención primaria y la escala de NAMES producto de la construcción de un modelo a partir de los síntomas clínicos y medidas antropométricas. Introduction: Obstructive sleep apnea had classified as a public health problem due to
its high prevalence, which is between 2% to 26% of the general population 1. The other
way, the absence methods sufficiently valid and reliable screening produce sub -
diagnostic. There is methods that based on questionnaires or clinical models that quantify
the presence of clinical symptoms. The most widespread is the Epworth scale that
assesses daytime sleepiness, the Berlin questionnaire identifies the patient with suspected
OSA in primary care and the scale of product NAMES building a model based, clinical
symptoms and anthropometric measurements.
Objective: To develop a scale in the prediction of OSA, it based on clinical and
anthropometric characteristics in a population of patients with clinical suspicion of OSA.
Methods: A cross-sectional observational study was conducted adult subjects referred for
clinical suspicion of OSA who underwent overnight polysomnographic study, diagnosis
of OSA is made from hiccupped apnea index (AHI) was included> 5 events / hour.
Variables that were associated with the presence of OSA, and who had a biological
plausibility were included in the building of the model.
Yielding six models by the method of Stepwise Forward, the most parsimonious model
included the variables age, sex, BMI, neck circumference and snoring, the scale scores
were assigned considering the OR values obtained from each of the variables, this was
validated from the point of view of discrimination and calibration in a new population.
Results: Among 2553 subjects with OSAS prevalence of 91.4% was found while in 1386
the population of subjects where the scale was validated, the prevalence was 96.2%, the
variables associated with the presentation of OSAS were: neck circumference, BMI,
presence or absence of snoring, age and sex, no statistically significant association with
the Epworth scale found. The scale showed adequate discrimination ability with area
under the ROC curve of 0.76 (95% CI 0.67 to 0.83) and a proper calibration for a given
value of �ℎ�! = 27.2 p< 0.001 in the Hosmer-Lemeshow test.
Conclusions: The present scale showed adequate discriminatory and calibration capacity
of predict the occurrence of OSA in this population. However due to the high prevalence
of OSAS, the predictive power is high even with scores of 0, being within a range probabilities between 0.89 to 0.99, it is important to validate this scale in a population
whose prevalence of OSA is less in order to evaluate the discrimination ability.