Literature DB >> 30764637

Symptom Subtypes of Obstructive Sleep Apnea Predict Incidence of Cardiovascular Outcomes.

Diego R Mazzotti1,2, Brendan T Keenan2, Diane C Lim1,2, Daniel J Gottlieb3,4,5, Jinyoung Kim2,6, Allan I Pack1,2.   

Abstract

Rationale: Symptom subtypes have been described in clinical and population samples of patients with obstructive sleep apnea (OSA). It is unclear whether these subtypes have different cardiovascular consequences.
Objectives: To characterize OSA symptom subtypes and assess their association with prevalent and incident cardiovascular disease in the Sleep Heart Health Study.
Methods: Data from 1,207 patients with OSA (apnea-hypopnea index ≥ 15 events/h) were used to evaluate the existence of symptom subtypes using latent class analysis. Associations between subtypes and prevalence of overall cardiovascular disease and its components (coronary heart disease, heart failure, and stroke) were assessed using logistic regression. Kaplan-Meier survival analysis and Cox proportional hazards models were used to evaluate whether subtypes were associated with incident events, including cardiovascular mortality.Measurements and Main
Results: Four symptom subtypes were identified (disturbed sleep [12.2%], minimally symptomatic [32.6%], excessively sleepy [16.7%], and moderately sleepy [38.5%]), similar to prior studies. In adjusted models, although no significant associations with prevalent cardiovascular disease were found, the excessively sleepy subtype was associated with more than threefold increased risk of prevalent heart failure compared with each of the other subtypes. Symptom subtype was also associated with incident cardiovascular disease (P < 0.001), coronary heart disease (P = 0.015), and heart failure (P = 0.018), with the excessively sleepy again demonstrating increased risk (hazard ratios, 1.7-2.4) compared with other subtypes. When compared with individuals without OSA (apnea-hypopnea index < 5), significantly increased risk for prevalent and incident cardiovascular events was observed mostly for patients in the excessively sleepy subtype.Conclusions: OSA symptom subtypes are reproducible and associated with cardiovascular risk, providing important evidence of their clinical relevance.

Entities:  

Keywords:  cardiovascular disease; cluster analysis; sleep apnea; sleepiness; symptom subtypes

Mesh:

Year:  2019        PMID: 30764637      PMCID: PMC6701040          DOI: 10.1164/rccm.201808-1509OC

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  42 in total

1.  Methods for obtaining and analyzing unattended polysomnography data for a multicenter study. Sleep Heart Health Research Group.

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Journal:  Sleep       Date:  1998-11-01       Impact factor: 5.849

2.  Relation of sleep-disordered breathing to cardiovascular disease risk factors: the Sleep Heart Health Study.

Authors:  A B Newman; F J Nieto; U Guidry; B K Lind; S Redline; T G Pickering; S F Quan
Journal:  Am J Epidemiol       Date:  2001-07-01       Impact factor: 4.897

3.  Effect of Positive Airway Pressure on Cardiovascular Outcomes in Coronary Artery Disease Patients with Nonsleepy Obstructive Sleep Apnea. The RICCADSA Randomized Controlled Trial.

Authors:  Yüksel Peker; Helena Glantz; Christine Eulenburg; Karl Wegscheider; Johan Herlitz; Erik Thunström
Journal:  Am J Respir Crit Care Med       Date:  2016-09-01       Impact factor: 21.405

4.  Daytime sleepiness predicts mortality and cardiovascular disease in older adults. The Cardiovascular Health Study Research Group.

Authors:  A B Newman; C F Spiekerman; P Enright; D Lefkowitz; T Manolio; C F Reynolds; J Robbins
Journal:  J Am Geriatr Soc       Date:  2000-02       Impact factor: 5.562

5.  Sleep-disordered breathing and cardiovascular disease: cross-sectional results of the Sleep Heart Health Study.

Authors:  E Shahar; C W Whitney; S Redline; E T Lee; A B Newman; F J Nieto; G T O'Connor; L L Boland; J E Schwartz; J M Samet
Journal:  Am J Respir Crit Care Med       Date:  2001-01       Impact factor: 21.405

6.  Symptom-Based Subgroups of Koreans With Obstructive Sleep Apnea.

Authors:  Jinyoung Kim; Brendan T Keenan; Diane C Lim; Seung Ku Lee; Allan I Pack; Chol Shin
Journal:  J Clin Sleep Med       Date:  2018-03-15       Impact factor: 4.062

7.  Surveillance and ascertainment of cardiovascular events. The Cardiovascular Health Study.

Authors:  D G Ives; A L Fitzpatrick; D E Bild; B M Psaty; L H Kuller; P M Crowley; R G Cruise; S Theroux
Journal:  Ann Epidemiol       Date:  1995-07       Impact factor: 3.797

8.  Joint effects of OSA and self-reported sleepiness on incident CHD and stroke.

Authors:  Rachel P Ogilvie; Kamakshi Lakshminarayan; Conrad Iber; Sanjay R Patel; Pamela L Lutsey
Journal:  Sleep Med       Date:  2018-01-31       Impact factor: 3.492

9.  Diabetes and sleep disturbances: findings from the Sleep Heart Health Study.

Authors:  Helaine E Resnick; Susan Redline; Eyal Shahar; Adele Gilpin; Anne Newman; Robert Walter; Gordon A Ewy; Barbara V Howard; Naresh M Punjabi
Journal:  Diabetes Care       Date:  2003-03       Impact factor: 19.112

10.  The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators.

Authors: 
Journal:  Am J Epidemiol       Date:  1989-04       Impact factor: 4.897

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  87 in total

1.  Hospital screening for obstructive sleep apnea in patients admitted to a rural, tertiary care academic hospital with heart failure.

Authors:  Robert Stansbury; Mohamad Abdelfattah; Jonathan Chan; Abhinav Mittal; Fahad Alqahtani; Sunil Sharma
Journal:  Hosp Pract (1995)       Date:  2020-08-04

2.  Associations Between Sleep Apnea and Subclinical Carotid Atherosclerosis: The Multi-Ethnic Study of Atherosclerosis.

Authors:  Ying Y Zhao; Sogol Javaheri; Rui Wang; Na Guo; Brian B Koo; James H Stein; Claudia E Korcarz; Susan Redline
Journal:  Stroke       Date:  2019-10-15       Impact factor: 7.914

Review 3.  Phenotypic Subtypes of OSA: A Challenge and Opportunity for Precision Medicine.

Authors:  Andrey Zinchuk; Henry K Yaggi
Journal:  Chest       Date:  2019-09-17       Impact factor: 9.410

4.  Cardiovascular consequences of obstructive sleep apnea in women: a historical cohort study.

Authors:  Tetyana Kendzerska; Richard S Leung; Clare L Atzema; George Chandy; Moussa Meteb; Atul Malhotra; Gillian A Hawker; Andrea S Gershon
Journal:  Sleep Med       Date:  2019-09-11       Impact factor: 3.492

5.  Low Prognostic Value of Novel Nocturnal Metrics in Patients With OSA and High Cardiovascular Event Risk: Post Hoc Analyses of the SAVE Study.

Authors:  Dominik Linz; Kelly A Loffler; Prashanthan Sanders; Peter Catcheside; Craig S Anderson; Danni Zheng; WeiWei Quan; Mary Barnes; Susan Redline; R Doug McEvoy; Mathias Baumert
Journal:  Chest       Date:  2020-07-14       Impact factor: 9.410

6.  Why do we sometimes ignore the chief complaint in patients evaluated for obstructive sleep apnea?

Authors:  Atul Malhotra; Brandon Nokes; Pamela DeYoung; Robert Owens
Journal:  J Clin Sleep Med       Date:  2020-04-15       Impact factor: 4.062

7.  Diving Deeper: Rethinking AHI as the Primary Measure of OSA Severity.

Authors:  Christopher M Cielo; Ignacio E Tapia
Journal:  J Clin Sleep Med       Date:  2019-08-15       Impact factor: 4.062

Review 8.  Hypoxia-inducible factors and obstructive sleep apnea.

Authors:  Nanduri R Prabhakar; Ying-Jie Peng; Jayasri Nanduri
Journal:  J Clin Invest       Date:  2020-10-01       Impact factor: 14.808

Review 9.  Reinventing polysomnography in the age of precision medicine.

Authors:  Diane C Lim; Diego R Mazzotti; Kate Sutherland; Jesse W Mindel; Jinyoung Kim; Peter A Cistulli; Ulysses J Magalang; Allan I Pack; Philip de Chazal; Thomas Penzel
Journal:  Sleep Med Rev       Date:  2020-03-20       Impact factor: 11.609

10.  The Sleep Apnea-Specific Hypoxic Burden Predicts Incident Heart Failure.

Authors:  Ali Azarbarzin; Scott A Sands; Luigi Taranto-Montemurro; Daniel Vena; Tamar Sofer; Sang-Wook Kim; Katie L Stone; David P White; Andrew Wellman; Susan Redline
Journal:  Chest       Date:  2020-04-13       Impact factor: 9.410

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