Obstructive sleep apnea predicts 10-year cardiovascular disease–related mortality in the Sleep Heart Health Study: a machine learning approach

Li, Ao; Roveda, Janet; Powers, Linda S.; Quan, Stuart F.

doi:10.5664/jcsm.9630

Cited by 11 publications

(10 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using sleep parameters and endoscopic findings to develop machine learning models for predicting the success rate of sleep surgery also showed higher accuracy than subjective prediction by sleep surgeons ( Kim et al, 2021 ). Moreover, machine learning tools are effective at assessing long-term cardiovascular risk in OSA patients ( Li et al, 2022 ). Machine learning has even been used to help build a CPAP compliance-monitoring system to improve the management of OSA patients ( Turino et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Multiple Machine Learning Methods Reveal Key Biomarkers of Obstructive Sleep Apnea and Continuous Positive Airway Pressure Treatment

et al. 2022

View full text Add to dashboard Cite

Obstructive sleep apnea (OSA) is a worldwide health issue that affects more than 400 million people. Given the limitations inherent in the current conventional diagnosis of OSA based on symptoms report, novel diagnostic approaches are required to complement existing techniques. Recent advances in gene sequencing technology have made it possible to identify a greater number of genes linked to OSA. We identified key genes in OSA and CPAP treatment by screening differentially expressed genes (DEGs) using the Gene Expression Omnibus (GEO) database and employing machine learning algorithms. None of these genes had previously been implicated in OSA. Moreover, a new diagnostic model of OSA was developed, and its diagnostic accuracy was verified in independent datasets. By performing Single Sample Gene Set Enrichment Analysis (ssGSEA) and Counting Relative Subsets of RNA Transcripts (CIBERSORT), we identified possible immunologic mechanisms, which led us to conclude that patients with high OSA risk tend to have elevated inflammation levels that can be brought down by CPAP treatment.

show abstract

Section: Discussionmentioning

confidence: 99%

Multiple Machine Learning Methods Reveal Key Biomarkers of Obstructive Sleep Apnea and Continuous Positive Airway Pressure Treatment

et al. 2022

View full text Add to dashboard Cite

show abstract

“…3,4 A large amount of evidence supports the view that OSA is associated with an increased risk of non-fatal and fatal cardiovascular (CV) events as well as all-cause mortality. 5,6 One of the mechanisms underlying the poor CV prognosis in patients with OSA is the development of structural and functional cardiac changes triggered by the hemodynamic, hormonal and inflammatory consequences of nocturnal arterial desaturation. 7,8 Over the past few decades, hundreds of studies and their metaanalyses, have examined the effects of OSA on subclinical cardiac damage targeting left ventricular hypertrophy (LVH) and LV dysfunction.…”

Section: Introductionmentioning

confidence: 99%

“…A large amount of evidence supports the view that OSA is associated with an increased risk of non‐fatal and fatal cardiovascular (CV) events as well as all‐cause mortality. 5 , 6 One of the mechanisms underlying the poor CV prognosis in patients with OSA is the development of structural and functional cardiac changes triggered by the hemodynamic, hormonal and inflammatory consequences of nocturnal arterial desaturation. 7 , 8 …”

Section: Introductionmentioning

confidence: 99%

Obstructive sleep apnea and right ventricular function: A meta‐analysis of speckle tracking echocardiographic studies

Tadić

Gherbesi

Faggiano

et al. 2022

J of Clinical Hypertension

View full text Add to dashboard Cite

The authors investigated the association between obstructive sleep apnea (OSA) and right ventricular (RV) systolic dysfunction trough a meta-analysis of echocardiographic studies providing data on RV mechanics as assessed by longitudinal strain (LS).A systematic search was conducted using PubMed, OVID-MEDLINE, and Cochrane library databases to search English-language review papers published from inception to March 31, 2022. Only studies reporting data on RV free-wall or global LS in patients with OSA of different severity and non-OSA controls were reviewed. Data of interest were pooled to obtain standard means difference (SMD) with 95% confidence interval (CI). The meta-analysis included 628 participants (436 with OSA and 192 controls) from eight studies. Compared to controls, RV free wall LS was significantly reduced in the pooled OSA group (SMD 1.02 ± .33, CI:.17/1.24, P < .002); this was also the case for RV global LS (SMD: .72 ± .11, CI: .50/.93, P < .0001). Notably, compared to patients with mild-OSA those with moderate and severe OSA exhibited significantly lower RV freewall LS and global LS values; this was not the case for tricuspid annular plane excursion.In conclusions, both RV free-wall and global LS are impaired in patients with OSA; deterioration of these indices, unlike TAPSE, was already evident in the early stages and was related to the severity of the syndrome. Thus, RV myocardial strain should be considered to be included in echocardiographic evaluation of OSA patients in order to detect subclinical cardiac damage in these patients regardless of its degree of severity.

show abstract

“…Obstructive sleep apnea hypopnea syndrome (OSAHS) caused intermittent hypoxemia and hypercapnia due to the repeated partial or complete upper airway obstruction during sleep and resulted in hypoventilation or apnea, 1,2 and OSAHS is closely related with refractory hypertension and high morbidity and mortality. 3,4 It is reported that the prevalence in OSAHSA is increasing, affecting at least 25% adults, and it is as high as 49% of the elderly population. 5 Furthermore, the number of patients with moderate and/or severe OSAHS has reached 425 million worldwide aged from 30 to 69 years.…”

Section: Introductionmentioning

confidence: 99%

“…3 30-50% of hypertensive patients have OSAHS and 50-92% of patients with OSAHS are accompanied by hypertension. 4 OSAHS and hypertension are risky, let alone they simultaneously occurred. Therefore, it is clinically important to diagnose OSAHS symptom in hypertensive patients.…”

Section: Introductionmentioning

confidence: 99%

The Weighted Combination of the Epworth Sleepiness Scale and the STOP-Bang Questionnaire Improved the Predictive Value of for OSAHS in Hypertensive Patients

Sun¹,

Xu²,

Wang³

et al. 2022

IJGM

View full text Add to dashboard Cite

Hypertension interrelated with obstructive sleep apnea hypopnea syndrome (OSAHS), worsening morbidity and mortality. It is urgent to screening OSAHS from hypertensive patients. An ideal effective questionnaire screening approach for OSAHS is lacking. In this study, we aimed to explore a new OSAHS screening method via weighted combining the current used Epworth sleepiness scale (ESS) and STOP-Bang questionnaire (SBQ) upon calculation. Patients and Methods: Three hundred and sixteen hypertensive patients with suspicion of the OSAHS were enrolled and randomized in the study into ESS, SBQ and portable respiratory polysomnography (RP) tests. The predictive value of ESS, SBQ and weighted combination were evaluated by calculating the area under curve (AUC), sensitivity and specificity, positive and negative likelihood ratio. Results: Both the two scales alone and weighted combination were closely related with apnea hypopnea index (AHI), minimum oxygen saturation and average oxygen saturation at night (P < 0.05). The AUC, sensitivity and specificity, positive predictive value (PPV) and negative predictive value (NPV) of ESS in predicting OSAHS were 79.

show abstract

Obstructive sleep apnea predicts 10-year cardiovascular disease–related mortality in the Sleep Heart Health Study: a machine learning approach

Cited by 11 publications

References 38 publications

Multiple Machine Learning Methods Reveal Key Biomarkers of Obstructive Sleep Apnea and Continuous Positive Airway Pressure Treatment

Multiple Machine Learning Methods Reveal Key Biomarkers of Obstructive Sleep Apnea and Continuous Positive Airway Pressure Treatment

Obstructive sleep apnea and right ventricular function: A meta‐analysis of speckle tracking echocardiographic studies

The Weighted Combination of the Epworth Sleepiness Scale and the STOP-Bang Questionnaire Improved the Predictive Value of for OSAHS in Hypertensive Patients

Contact Info

Product

Resources

About