Literature DB >> 32406974

On the rise and fall of the apnea-hypopnea index: A historical review and critical appraisal.

Dirk A Pevernagie1,2, Barbara Gnidovec-Strazisar3, Ludger Grote4, Raphael Heinzer5, Walter T McNicholas6, Thomas Penzel7,8, Winfried Randerath9,10, Sophia Schiza11, Johan Verbraecken12, Erna S Arnardottir13,14.   

Abstract

The publication of "The Sleep Apnea Syndromes" by Guilleminault et al. in the 1970s hallmarked the discovery of a new disease entity involving serious health consequences. Obstructive sleep apnea was shown to be the most important disorder among the sleep apnea syndromes (SAS). In the course of time, it was found that the prevalence of obstructive sleep apnea reached the proportions of a global epidemic, with a major impact on public health, safety and the economy. Early on, a metric was introduced to gauge the seriousness of obstructive sleep apnea, based on the objective measurement of respiratory events during nocturnal sleep. The apnea index and later on the apnea-hypopnea index, being the total count of overnight respiratory events divided by the total sleep time in hours, were embraced as principle measures to establish the diagnosis of obstructive sleep apnea and to rate its severity. The current review summarises the historical evolution of the apnea-hypopnea index, which has been subject to many changes, and has been criticised for not capturing relevant clinical features of obstructive sleep apnea. In fact, the application of the apnea-hypopnea index as a continuous exposure variable is based on assumptions that it represents a disease state of obstructive sleep apnea and that evocative clinical manifestations are invariably caused by obstructive sleep apnea if the apnea-hypopnea index is above diagnostic threshold. A critical appraisal of the extensive literature shows that both assumptions are invalid. This conclusion prompts a reconsideration of the role of the apnea-hypopnea index as the prime diagnostic metric of clinically relevant obstructive sleep apnea.
© 2020 European Sleep Research Society.

Entities:  

Keywords:  apnea−hypopnea index; bias; diagnosis; entanglement; severity rating; sleep apnea

Mesh:

Year:  2020        PMID: 32406974     DOI: 10.1111/jsr.13066

Source DB:  PubMed          Journal:  J Sleep Res        ISSN: 0962-1105            Impact factor:   3.981


  23 in total

1.  Incidence of VTE in Patients With OSA: A Cohort Study.

Authors:  Michael V Genuardi; Aman Rathore; Rachel P Ogilvie; Rebecca S DeSensi; Priya V Borker; Jared W Magnani; Sanjay R Patel
Journal:  Chest       Date:  2021-12-13       Impact factor: 9.410

Review 2.  Current and novel treatment options for obstructive sleep apnoea.

Authors:  Winfried Randerath; Jan de Lange; Jan Hedner; Jean Pierre T F Ho; Marie Marklund; Sofia Schiza; Jörg Steier; Johan Verbraecken
Journal:  ERJ Open Res       Date:  2022-06-27

3.  Obesity and Obstructive Sleep Apnea.

Authors:  Maria R Bonsignore
Journal:  Handb Exp Pharmacol       Date:  2022

4.  The AHI is useful but limited: how can we do better?

Authors:  Atul Malhotra; Daniel J Gottlieb
Journal:  Sleep       Date:  2021-09-13       Impact factor: 6.313

Review 5.  Metrics of sleep apnea severity: beyond the apnea-hypopnea index.

Authors:  Atul Malhotra; Indu Ayappa; Najib Ayas; Nancy Collop; Douglas Kirsch; Nigel Mcardle; Reena Mehra; Allan I Pack; Naresh Punjabi; David P White; Daniel J Gottlieb
Journal:  Sleep       Date:  2021-07-09       Impact factor: 6.313

6.  Validation of an Overnight Wireless High-Resolution Oximeter plus Cloud-Based Algorithm for the Diagnosis of Obstructive Sleep Apnea.

Authors:  George do Lago Pinheiro; Andrea Fonseca Cruz; Diego Munduruca Domingues; Pedro Rodrigues Genta; Luciano F Drager; Patrick J Strollo; Geraldo Lorenzi-Filho
Journal:  Clinics (Sao Paulo)       Date:  2020-11-27       Impact factor: 2.365

7.  A composite sleep and pulmonary phenotype predicting hypertension.

Authors:  Ruitong Li; Michael Rueschman; Daniel J Gottlieb; Susan Redline; Tamar Sofer
Journal:  EBioMedicine       Date:  2021-06-15       Impact factor: 11.205

8.  Portable Sleep Apnea Syndrome Screening and Event Detection Using Long Short-Term Memory Recurrent Neural Network.

Authors:  Hung-Chi Chang; Hau-Tieng Wu; Po-Chiun Huang; Hsi-Pin Ma; Yu-Lun Lo; Yuan-Hao Huang
Journal:  Sensors (Basel)       Date:  2020-10-25       Impact factor: 3.576

Review 9.  Alternative algorithms and devices in sleep apnoea diagnosis: what we know and what we expect.

Authors:  Thomas Penzel; Ingo Fietze; Martin Glos
Journal:  Curr Opin Pulm Med       Date:  2020-11       Impact factor: 2.868

Review 10.  The role of exercise-induced peripheral factors in sleep regulation.

Authors:  Xiao Tan; Lieve T van Egmond; Jonathan Cedernaes; Christian Benedict
Journal:  Mol Metab       Date:  2020-10-09       Impact factor: 7.422

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