Literature DB >> 27387483

Application of Personalized, Predictive, Preventative, and Participatory (P4) Medicine to Obstructive Sleep Apnea. A Roadmap for Improving Care?

Allan I Pack1.   

Abstract

Dr. Leroy Hood promotes a paradigm to advance medical care that he calls P4 medicine. The four Ps are: personalized, predictive, preventative, and participatory. P4 medicine encourages a convergence of systems medicine, the digital revolution, and consumer-driven healthcare. Might P4 medicine be applicable to obstructive sleep apnea (OSA)? OSA should be personalized in that there are different structural and physiological pathways to disease. Obesity is a major risk factor. The link between obesity and OSA is likely to be fat deposits in the tongue compromising the upper airway. Clinical features at presentation also vary between patients. There are three distinct subgroups: (1) patients with a primary complaint of insomnia, (2) relatively asymptomatic patients with a high prevalence of cardiovascular comorbidities, and (3) excessively sleepy patients. Currently, there have been limited efforts to identify subgroups of patients on the basis of measures obtained by polysomnography. Yet, these diagnostic studies likely contain considerable predictive information. Likewise, there has currently been limited application of -omic approaches. Determining the relative role of obesity and OSA for particular consequences is challenging, because they both affect the same molecular pathways. There is evidence that the effects of OSA are modified by the level of obesity. These insights may lead to improvements in predicting outcomes to personalized therapies. The final P-participatory-is ideally suited to OSA, with technology to obtain extensive data remotely from continuous positive airway pressure machines. Providing adherence data directly to patients increases their use of continuous positive airway pressure. Thus, the concept of P4 medicine is very applicable to obstructive sleep apnea and can be the basis for future research efforts.

Entities:  

Keywords:  biomarkers; cluster analysis; obstructive sleep apnea; participatory care; personalized medicine

Mesh:

Year:  2016        PMID: 27387483     DOI: 10.1513/AnnalsATS.201604-235PS

Source DB:  PubMed          Journal:  Ann Am Thorac Soc        ISSN: 2325-6621


  18 in total

Review 1.  Patient-centered care in obstructive sleep apnea: A vision for the future.

Authors:  Janet Hilbert; Henry K Yaggi
Journal:  Sleep Med Rev       Date:  2017-02-24       Impact factor: 11.609

Review 2.  P4 medicine approach to obstructive sleep apnoea.

Authors:  Diane C Lim; Kate Sutherland; Peter A Cistulli; Allan I Pack
Journal:  Respirology       Date:  2017-05-05       Impact factor: 6.424

Review 3.  Cardiovascular outcomes of continuous positive airway pressure therapy for obstructive sleep apnea.

Authors:  Yüksel Peker; Baran Balcan
Journal:  J Thorac Dis       Date:  2018-12       Impact factor: 2.895

Review 4.  Opportunities for utilizing polysomnography signals to characterize obstructive sleep apnea subtypes and severity.

Authors:  Diego R Mazzotti; Diane C Lim; Kate Sutherland; Lia Bittencourt; Jesse W Mindel; Ulysses Magalang; Allan I Pack; Philip de Chazal; Thomas Penzel
Journal:  Physiol Meas       Date:  2018-09-13       Impact factor: 2.833

Review 5.  Excessive daytime sleepiness in obstructive sleep apnea: implications for driving licenses.

Authors:  Sergio Garbarino
Journal:  Sleep Breath       Date:  2019-07-24       Impact factor: 2.816

6.  Real-time multislice MRI during continuous positive airway pressure reveals upper airway response to pressure change.

Authors:  Weiyi Chen; Emily Gillett; Michael C K Khoo; Sally L Davidson Ward; Krishna S Nayak
Journal:  J Magn Reson Imaging       Date:  2017-02-22       Impact factor: 4.813

7.  Predictors of CPAP compliance in different clinical settings: primary care versus sleep unit.

Authors:  Núria Nadal; Jordi de Batlle; Ferran Barbé; Josep Ramon Marsal; Alicia Sánchez-de-la-Torre; Nuria Tarraubella; Merce Lavega; Manuel Sánchez-de-la-Torre
Journal:  Sleep Breath       Date:  2017-09-01       Impact factor: 2.816

Review 8.  Obstructive Sleep Apnea and Its Treatment in Aging: Effects on Alzheimer's disease Biomarkers, Cognition, Brain Structure and Neurophysiology.

Authors:  Anna E Mullins; Korey Kam; Ankit Parekh; Omonigho M Bubu; Ricardo S Osorio; Andrew W Varga
Journal:  Neurobiol Dis       Date:  2020-08-27       Impact factor: 5.996

Review 9.  Circulating exosomes in obstructive sleep apnea as phenotypic biomarkers and mechanistic messengers of end-organ morbidity.

Authors:  Abdelnaby Khalyfa; Leila Kheirandish-Gozal; David Gozal
Journal:  Respir Physiol Neurobiol       Date:  2017-07-01       Impact factor: 1.931

Review 10.  Sleep apnea, metabolic disease, and the cutting edge of therapy.

Authors:  Matthew Light; Karen McCowen; Atul Malhotra; Omar A Mesarwi
Journal:  Metabolism       Date:  2017-09-28       Impact factor: 8.694

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