Evaluation of the metabolic profile in children with adenotonsillar hypertrophy and sleep disordered breathing

• Grant number: 11/22629-2
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Effective date (Start): February 01, 2012
• Effective date (End): January 31, 2013
• Field of knowledge: Health Sciences - Medicine - Surgery
• Principal Investigator: Silke Anna Theresa Weber
• Grantee: Priscilla Melchior Oliveira Rocha
• Host Institution: Faculdade de Medicina (FMB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil

Abstract

Respiratory disorders during sleep have been recognized among adults and children for a long. They range from snoring to states of obstructive sleep apnea (OSA) with numerous clinical implications. Obesity is a known risk factor for OSA in adults. The prevalence of OSA in overweight (obese) children reach up to 36%, hitting 60% when habitual snoring is present. Although inflammatory and metabolic consequences are known in adults, in children these consequences are still not well defined. Aim: to evaluate clinical reports of obstructive breathing disorders during sleep in obese and non-obese children and to evaluate the metabolic profile in children with adenotonsillar hypertrophy and sleep-disordered breathing, comparing the obese and nonobese ones. Material and Methods: children aged between 3 and 12 years, diagnosed with adenotonsillar hypertrophy and sleep-disordered breathing will be included. A questionnaire (OSA18) will be applied in order to investigate snoring, observed pauses in breathing, and restless sleep. All children will be submitted to an otorhinolaryngological exam for diagnosis of hypertrophy of the tonsils, as well as a sleep study (polygraph)in accordance with the standard criteria of the American Academy of Sleep Medicine (AASM). The metabolic evaluation will be carried out by the measurement of fasting glucose, insulin, total cholesterol and fractions, TSH, and free T4. Results will be described in the median and standard deviation for obese and non-obese children, with and without OSA. The correlation of the metabolic findings to OSA and obesity will be analyzed.(AU)