z-logo
open-access-imgOpen Access
Predictors of Obstructive Sleep Apnea Severity in Adenotonsillectomy Candidates
Author(s) -
Tanya G. Weinstock,
Carol L. Rosen,
Carole L. Marcus,
Susan L. Garetz,
Ron B. Mitchell,
Raouf S. Amin,
Shalini Paruthi,
Eliot S. Katz,
Raanan Arens,
Jia Weng,
Kristie Ross,
Ronald D. Chervin,
Susan S. Ellenberg,
Rui Wang,
Susan Redline
Publication year - 2014
Publication title -
sleep
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.222
H-Index - 207
eISSN - 1550-9109
pISSN - 0161-8105
DOI - 10.5665/sleep.3394
Subject(s) - medicine , obstructive sleep apnea , body mass index , polysomnography , apnea–hypopnea index , randomized controlled trial , continuous positive airway pressure , confounding , obesity , apnea , sleep apnea , univariate analysis , pediatrics , physical therapy , multivariate analysis
There is uncertainty over which characteristics increase obstructive sleep apnea syndrome (OSAS) severity in children. In candidates for adenotonsillectomy (AT), we evaluated the relationship of OSAS severity and age, sex, race, body mass index (BMI), environmental tobacco smoke (ETS), prematurity, socioeconomic variables, and comorbidities.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom