Literature DB >> 25621265

Major factors affecting severity of obstructive sleep apnea.

Sung Won Kim1, Boo-Young Kim1, Jung Ju Han1, Jae Hyung Hwang1, Kihwan Jung1, Min Kim1, Soo Whan Kim1.   

Abstract

Computed tomography (CT) has become a common method for evaluating obstructive sleep apnea (OSA). The aim of this study was to analyze the relationships between CT parameters and clinical parameters in OSA patients to determine major factors affecting the severity of OSA. The records of 128 consecutive snoring patients (98 males, 30 females) diagnosed with OSA were retrospectively reviewed. Polysomnography was performed for each patient. On CT scans, airway areas were measured at the level of the hard palate, the soft palate, and the base of the tongue. Polysomnographic parameters were compared by gender and age using the Mann-Whitney U test. Pearson's correlation coefficient was used to analyze relationships between variables and the AHI in each age group. The women were significantly older than the men (p < 0.01). The AHI and apnea index were significantly higher in men than in women. Stage 1 sleep and rapid eye movement sleep were more frequent in men than in women. The area at the base of the tongue was significantly smaller in women than in men (p = 0.027). In the 50-60 age group, the AHI was significantly higher in men (41.47 ± 19.67) than in women (17.14 ± 15.63) (p = 0.001). OSA severity varies with age, gender, and upper airway area. The OSA prognosis could be improved by evaluating the major factors and treating OSA patients according to epidemiological characteristics and anatomical structures.

Entities:  

Keywords:  Age; Computed tomography; Gender; Obstructive sleep apnea; Polysomnography; Upper airway

Year:  2014        PMID: 25621265      PMCID: PMC4298598          DOI: 10.1007/s12070-014-0793-4

Source DB:  PubMed          Journal:  Indian J Otolaryngol Head Neck Surg        ISSN: 2231-3796


  23 in total

Review 1.  Sleep-related breathing disorders in adults: recommendations for syndrome definition and measurement techniques in clinical research. The Report of an American Academy of Sleep Medicine Task Force.

Authors: 
Journal:  Sleep       Date:  1999-08-01       Impact factor: 5.849

2.  Influence of gender and anthropometric measures on severity of obstructive sleep apnea.

Authors:  S Subramanian; G Jayaraman; H Majid; R Aguilar; S Surani
Journal:  Sleep Breath       Date:  2011-10-28       Impact factor: 2.816

3.  Sex differences in obstructive sleep apnoea in an elderly French population.

Authors:  E Sforza; F Chouchou; P Collet; V Pichot; J C Barthélémy; F Roche
Journal:  Eur Respir J       Date:  2010-09-03       Impact factor: 16.671

4.  Impact of menopause on the prevalence and severity of sleep apnea.

Authors:  D R Dancey; P J Hanly; C Soong; B Lee; V Hoffstein
Journal:  Chest       Date:  2001-07       Impact factor: 9.410

5.  Sleep loss results in an elevation of cortisol levels the next evening.

Authors:  R Leproult; G Copinschi; O Buxton; E Van Cauter
Journal:  Sleep       Date:  1997-10       Impact factor: 5.849

6.  Airway mechanics and ventilation in response to resistive loading during sleep: influence of gender.

Authors:  G Pillar; A Malhotra; R Fogel; J Beauregard; R Schnall; D P White
Journal:  Am J Respir Crit Care Med       Date:  2000-11       Impact factor: 21.405

7.  Gender and age influence the effects of slow-wave sleep on respiration in patients with obstructive sleep apnea.

Authors:  Shyam Subramanian; Sean Hesselbacher; Amarbir Mattewal; Salim Surani
Journal:  Sleep Breath       Date:  2012-01-16       Impact factor: 2.816

8.  The occurrence of sleep-disordered breathing among middle-aged adults.

Authors:  T Young; M Palta; J Dempsey; J Skatrud; S Weber; S Badr
Journal:  N Engl J Med       Date:  1993-04-29       Impact factor: 91.245

9.  Gender-specific differences in a patient population with obstructive sleep apnea-hypopnea syndrome.

Authors:  Dietlind L Wahner-Roedler; Eric J Olson; Sujata Narayanan; Richa Sood; Andrew C Hanson; Laura L Loehrer; Amit Sood
Journal:  Gend Med       Date:  2007-12

10.  Body fat distribution and sleep apnea severity in women.

Authors:  R P Millman; C C Carlisle; S T McGarvey; S E Eveloff; P D Levinson
Journal:  Chest       Date:  1995-02       Impact factor: 9.410

View more
  3 in total

1.  Gender, nocturnal hypoxia, and arousal influence brainstem auditory evoked potentials in patients with obstructive sleep apnea.

Authors:  Wei Wang; Jiao Su; Delei Kong; Jian Pang; Jian Kang
Journal:  Sleep Breath       Date:  2016-04-16       Impact factor: 2.816

2.  Genetically-reduced serum ACE activity might be a causal risk factor for obstructive sleep apnea syndrome: A meta-analysis.

Authors:  Lan He; Bin Wang; Wei-Ya Lang; Jing Xue; Da-Long Zhao; Guo-Feng Li; Li-Hong Zheng; Hong-Ming Pan
Journal:  Sci Rep       Date:  2015-10-21       Impact factor: 4.379

3.  A retrospective study: does upper airway morphology differ between non-positional and positional obstructive sleep apnea?

Authors:  Xiao Jiao; Jianyin Zou; Suru Liu; Jian Guan; Hongliang Yi; Shankai Yin
Journal:  PeerJ       Date:  2017-10-13       Impact factor: 2.984

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.