Literature DB >> 23853564

Inter-observer reliability of candidate predictive morphometric measurements for women with suspected obstructive sleep apnea.

John A Gjevre1, Regina M Taylor-Gjevre, John K Reid, Robert Skomro, David Cotton.   

Abstract

OBJECTIVE: Obstructive sleep apnea (OSA) is increasingly recognized as a public health concern. Definitive diagnosis is by overnight polysomnographic (PSG) examination. Identification of clinical predictors would be beneficial in helping prioritize high-risk patients for assessment. Practical application of morphometric predictive variables would require a high level of reproducibility in a clinical setting. In this study, our objective was to evaluate reliability between observers in measurements of candidate morphometric parameters in women. DESIGN AND METHODS: This was a prospective study of 71 women who had been referred for PSG with suspected OSA. Selected morphometric parameters were measured independently in the sleep laboratory by two trained sleep physicians.
RESULTS: Neck circumference and truncal measurements for lower costal, midabdominal, and hip circumferences had higher reliability coefficients (intraclass correlation coefficients [ICC] of 0.78, 0.95, 0.95, and 0.81) than the smaller dimension measurements, including cricomental distance or retrognathia (ICC of 0.04 and 0.17). Of the women participating in this study, 50 of 71 had apnea-hypopnea indexes (AHI) ≥ 5. Body mass index (BMI), neck circumference, lower costal girth, midabdominal girth, and hip girth were all significantly higher (p < 0.001-0.004) in women with AHI ≥ 5.
CONCLUSIONS: There was wide variation in inter-observer reliability for different physical dimensions. We propose that any clinical morphologic measurement employed in predictive modeling should be reliably reproducible in clinical setting conditions. Our findings support the use of several truncal measures, BMI, and neck circumference as predictive measures in women undergoing evaluation for OSA.

Entities:  

Keywords:  Women; body measures; sleep

Mesh:

Year:  2013        PMID: 23853564      PMCID: PMC3671335          DOI: 10.5664/jcsm.2842

Source DB:  PubMed          Journal:  J Clin Sleep Med        ISSN: 1550-9389            Impact factor:   4.062


  17 in total

1.  Increased incidence of coronary artery disease in sleep apnoea: a long-term follow-up.

Authors:  Y Peker; J Carlson; J Hedner
Journal:  Eur Respir J       Date:  2006-04-26       Impact factor: 16.671

2.  Sample size and optimal designs for reliability studies.

Authors:  S D Walter; M Eliasziw; A Donner
Journal:  Stat Med       Date:  1998-01-15       Impact factor: 2.373

3.  Neck soft tissue and fat distribution: comparison between normal men and women by magnetic resonance imaging.

Authors:  A T Whittle; I Marshall; I L Mortimore; P K Wraith; R J Sellar; N J Douglas
Journal:  Thorax       Date:  1999-04       Impact factor: 9.139

4.  A critical discussion of intraclass correlation coefficients.

Authors:  R Müller; P Büttner
Journal:  Stat Med       Date:  1994 Dec 15-30       Impact factor: 2.373

5.  Difficult tracheal intubation: a retrospective study.

Authors:  G L Samsoon; J R Young
Journal:  Anaesthesia       Date:  1987-05       Impact factor: 6.955

6.  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

7.  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

8.  Gender differences in sleep apnea: the role of neck circumference.

Authors:  David R Dancey; Patrick J Hanly; Christine Soong; Bert Lee; John Shepard; Victor Hoffstein
Journal:  Chest       Date:  2003-05       Impact factor: 9.410

9.  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

10.  Gender-related differences in symptoms of patients with suspected breathing disorders in sleep: a clinical population study using the sleep disorders questionnaire.

Authors:  Arschang Valipour; Harald Lothaller; Helmuth Rauscher; Hartmut Zwick; Otto Chris Burghuber; Peretz Lavie
Journal:  Sleep       Date:  2007-03       Impact factor: 5.849

View more
  2 in total

1.  Anthropometric Measures and Prediction of Maternal Sleep-Disordered Breathing.

Authors:  Ghada Bourjeily; Alison Chambers; Myriam Salameh; Margaret H Bublitz; Amanpreet Kaur; Alexandra Coppa; Patricia Risica; Geralyn Lambert-Messerlian
Journal:  J Clin Sleep Med       Date:  2019-06-15       Impact factor: 4.062

2.  Excessive daytime sleepiness among rural residents in Saskatchewan.

Authors:  John A Gjevre; Punam Pahwa; Chandima Karunanayake; Louise Hagel; Donna Rennie; Joshua Lawson; Roland Dyck; James Dosman
Journal:  Can Respir J       Date:  2014-05-02       Impact factor: 2.409

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.