Literature DB >> 11555528

Impact of different criteria for defining hypopneas in the apnea-hypopnea index.

R L Manser1, P Rochford, R J Pierce, G B Byrnes, D A Campbell.   

Abstract

OBJECTIVES: To explore the effect of using different scoring criteria for hypopneas in the scoring of polysomnographic studies: (1) by estimating the level of agreement between apnea-hypopnea index (AHI) scores derived from different scoring methods, and (2) by examining the effect on the point prevalence of disease using different threshold values of the AHI.
DESIGN: Retrospective analysis of 48 diagnostic polysomnographic records.
SETTING: Tertiary-hospital sleep-disorders clinic. MEASUREMENTS: AHIs were derived from three different methods for scoring hypopneas. The hypopnea definitions used incorporated different combinations and threshold values of respiratory signal changes in addition to differences in the requirement for associated oxygen desaturation or arousal. The level of agreement between different scoring methods was assessed by constructing Bland-Altman plots and calculating intraclass correlation coefficients (ICCs). kappa statistics were used to assess agreement between the different methods using varying thresholds of AHI to categorize sleep apnea (AHI > 5, AHI > 15, and AHI > 20).
RESULTS: The random-effects ICC for the three methods was 0.89, suggesting that the different scoring methods tended to rank patients fairly consistently. However, the point prevalence of disease estimated by using different thresholds of AHI was found to vary depending on the method used to score sleep studies (kappa, 0.30 to 0.95).
CONCLUSIONS: These findings have implications for case finding, population-prevalence estimates, and grading of disease severity for access to government-funded continuous positive airway pressure services. Guidelines for standardizing the measurement and reporting of sleep studies in clinical practice should be implemented.

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Year:  2001        PMID: 11555528     DOI: 10.1378/chest.120.3.909

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  20 in total

1.  Varying Hypopnea Definitions Affect Obstructive Sleep Apnea Severity Classification and Association With Cardiovascular Disease.

Authors:  Christine H J Won; Li Qin; Bernardo Selim; Henry K Yaggi
Journal:  J Clin Sleep Med       Date:  2018-12-15       Impact factor: 4.062

2.  A Step Forward for Better Interpreting the Apnea-Hypopnea Index.

Authors:  Ramon Farre; Miguel Angel Martínez-García; Francisco Campos-Rodriguez; Josep M Montserrat
Journal:  Sleep       Date:  2015-12-01       Impact factor: 5.849

3.  The effect of respiratory scoring on the diagnosis and classification of sleep disordered breathing in chronic heart failure.

Authors:  Neil R Ward; Vitor Roldao; Martin R Cowie; Stuart D Rosen; Theresa A McDonagh; Anita K Simonds; Mary J Morrell
Journal:  Sleep       Date:  2013-09-01       Impact factor: 5.849

4.  Sleep apnea syndrome: improved detection of respiratory events and cortical arousals using oxymetry pulse wave amplitude during polysomnography.

Authors:  André Zacharia; José Haba-Rubio; Raphaël Simon; Gregor John; Pascal Jordan; Alda Fernandes; Jean-Michel Gaspoz; Jean-Georges Frey; Jean-Marie Tschopp
Journal:  Sleep Breath       Date:  2008-03       Impact factor: 2.816

5.  Effect of Three Hypopnea Scoring Criteria on OSA Prevalence and Associated Comorbidities in the General Population.

Authors:  Camila Hirotsu; Jose Haba-Rubio; Daniela Andries; Nadia Tobback; Pedro Marques-Vidal; Peter Vollenweider; Gérard Waeber; Raphael Heinzer
Journal:  J Clin Sleep Med       Date:  2019-02-15       Impact factor: 4.062

6.  The new AASM criteria for scoring hypopneas: impact on the apnea hypopnea index.

Authors:  Warren R Ruehland; Peter D Rochford; Fergal J O'Donoghue; Robert J Pierce; Parmjit Singh; Andrew T Thornton
Journal:  Sleep       Date:  2009-02       Impact factor: 5.849

7.  Effect of Varying Definitions of Hypopnea on the Diagnosis and Clinical Outcomes of Sleep-Disordered Breathing: A Systematic Review and Meta-Analysis.

Authors:  Meghna P Mansukhani; Bhanu Prakash Kolla; Zhen Wang; Timothy I Morgenthaler
Journal:  J Clin Sleep Med       Date:  2019-05-15       Impact factor: 4.062

8.  Prevalence and severity of sleep apnea in a group of morbidly obese patients.

Authors:  Carla Daltro; Paloma Baiardi Gregorio; Erivaldo Alves; Maurício Abreu; Daniel Bomfim; Maria Helena Chicourel; Leila Araújo; Helma P Cotrim
Journal:  Obes Surg       Date:  2007-06       Impact factor: 4.129

9.  Rules for scoring respiratory events in sleep: update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events. Deliberations of the Sleep Apnea Definitions Task Force of the American Academy of Sleep Medicine.

Authors:  Richard B Berry; Rohit Budhiraja; Daniel J Gottlieb; David Gozal; Conrad Iber; Vishesh K Kapur; Carole L Marcus; Reena Mehra; Sairam Parthasarathy; Stuart F Quan; Susan Redline; Kingman P Strohl; Sally L Davidson Ward; Michelle M Tangredi
Journal:  J Clin Sleep Med       Date:  2012-10-15       Impact factor: 4.062

10.  Epidemiology of Obstructive Sleep Apnea: a Population-based Perspective.

Authors:  Won Lee; Swamy Nagubadi; Meir H Kryger; Babak Mokhlesi
Journal:  Expert Rev Respir Med       Date:  2008-06-01       Impact factor: 3.772

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