Open AccessNeck circumference as a predictor for the presence and the severity of obstructive sleep apnea in snoring patients
Author(s) -
Safwat A.M. Eldaabousy,
Amgad Awad,
Saber Abo-AL Hassan,
Mohamed O. Nour
Publication year - 2021
Publication title -
indian journal of immunology and respiratory medicine
Language(s) - English
Resource type - Journals
ISSN - 2456-012X
DOI - 10.18231/j.ijirm.2021.022
Subject(s) - medicine , obstructive sleep apnea , polysomnogram , body mass index , apnea , sleep apnea , polysomnography , receiver operating characteristic , waist , diabetes mellitus , cardiology , endocrinology
To assess if the neck circumference (NC) can be used to predict the presence and the severity of obstructive sleep apnea syndrome (OSA) in a group of patients had snoring and witnessed apnea from Almoosa Hospital, Alhasa, Saudi Arabia. A retrospective study for patients had snoring and witnessed apnea referred to a sleep lab for the diagnosis of obstructive sleep apnea (OSA) by overnight full polysomnogram from August 2016 to August 2020. Apnea-hypopnea index (AHI) was used to categorize the severity of sleep apnea. Age, sex, neck circumference (NC) body mass index (BMI), comorbidities, and sleep parameters were recorded. Receiver-operating characteristic (ROC) curve was used to assess the ability of NC for the diagnosis of the OSA. Sensitivity and specificity were calculated for different cut-off points. The study included 450 patients who met the inclusion criteria with a mean age 52.5 ± 14.6. The mean NC (cm), and BMI were 39.4 ± 3.1, and 35.2 ± 9.0, respectively. OSA was diagnosed in 378 (84.0%) patients. OSA was more detected among males, those with an increased age, NC, BMI, and among patients had hypertension and type 2 diabetes. The mean BMI was significantly higher among females (p=0.031) while NC was significantly higher among males. Significant positive correlations were detected between both NC and BMI with the severity of OSA. Neck circumference can be used to predict the presence as well as the severity of obstructive sleep apnea in snoring patients. BMI, and male gender are independent predictors.