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Epidemiology of Obstructive Sleep Apnea: What is the Contribution of Hypertension and Arterial Stiffness?

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The Journal of Clinical Hypertension
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Obstructive sleep apnea (OSA) is defined as brief and repeated interruptions of breathing due to upper airway obstructive events during the sleep; these recurrent interruptions could be complete (apneas) and/or partial (hypopneas), resulting in intermittent hypoxemia, autonomic fluctuation, and sleep fragmentation. The apnea-hypopnea index (AHI) quantifies the episodes of apnea (cessation of airflow for at least 10 seconds) and hypopnea (reduction in airflow by at least 30% for at least 10 seconds with decrease in blood oxygen saturation). When defined as an AHI > 5 events per hour of sleep, the prevalence of OSA in the United States is ∼15-30% in males and 10–15% in females; instead, if defined as AHI ≥5 events per hour plus symptoms or AHI ≥15 events per hour), the prevalence is approximately 15% in males and 5% in females. OSA is typical in adults; males, older, and obese individuals are at a higher risk. The prevalence of OSA may also be influenced by race: indeed, it is common in African-Americans, independent of body weight
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Received: 17 December 2021 Accepted: 20 December 2021
DOI: 10.1111/jch.14426
COMMENTARY
Epidemiology of obstructive sleep apnea: What is the
contribution of hypertension and arterial stiffness?
Pasquale Mone MD1,2,3Urna Kansakar PhD1Fahimeh Varzideh PhD1
Eugenio Boccalone MD3Angela Lombardi PhD1Antonella Pansini MD3
Gaetano Santulli MD, PhD1
1Department of Medicine, Albert Einstein College of Medicine, New York, New York, USA
2Università degli Studi della Campania “Luigi Vanvitelli,”, Naples, Italy
3ASL Avellino, Italy
Correspondence
Gaetano Santulli, 1300 Morris Park Avenue,New York, NY,USA.
Email: gaetano.santulli@einsteinmed.edu
Funding information
National Institutes of Health, Grant/AwardNumbers: R01-HL146691, R01-HL159062, R01-DK123259, R01-DK033823, T32-HL144456; American Heart Association,
Grant/AwardNumber: AHA-22POST995561
1EPIDEMIOLOGY OF OBSTRUCTIVE SLEEP
APNEA
Obstructive sleep apnea (OSA) is defined as brief and repeated inter-
ruptions of breathing due to upper airway obstructive events during
the sleep1; these recurrent interruptions could be complete (apneas)
and/or partial (hypopneas), resulting in intermittent hypoxemia, auto-
nomic fluctuation, and sleep fragmentation.2The apnea-hypopnea
index (AHI) quantifies the episodes of apnea (cessation of airflow for
at least 10 seconds) and hypopnea (reduction in airflow by at least
30% for at least 10 seconds with decrease in blood oxygen saturation).
When defined as an AHI >5 events per hour of sleep, the prevalence of
OSA in the United States is 15-30% in males and 10–15% in females;
instead, if defined as AHI 5 events per hour plus symptoms or AHI
15 events per hour), the prevalence is approximately 15% in males
and 5% in females.3OSA is typical in adults; males, older, and obese
individuals are at a higher risk.4The prevalence of OSA may also be
influenced by race: indeed, it is common in African-Americans, inde-
pendent of body weight.5,6
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2OSA, HYPERTENSION, AND ARTERIAL
STIFFNESS: MÉNAGE À TROIS?
Patients with OSA have an increased incidence of hypertension, even
when asymptomatic.7–9
Arterial stiffness is common in hypertension and is a sign of struc-
tural and functional alterations of the vascular wall, associated with
organ damage.10,11 On the other side of the coin, patients with
resistant hypertension have a high prevalence of OSA.12,13 Hence,
hypertensive patients with arterial stiffness and OSA have many
complications and adverse outcomes.14 Nonetheless, the complex rela-
tionship linking hypertension, arterial stiffness, and OSA is not fully
clear (Figure 1). To elucidate this matter, Saeed and associates prospec-
tively investigated a large population of 6408 participants with sus-
pected OSA undergoing a standard respiratory polygraphy, and the
results have been published in this issue of the Journal of Clinical
Hypertension.15
The prevalence of hypertension was 70.8% in OSA patients
(defined as AHI 15/h) and 46.7% in non-OSA controls (P<.0001).
J Clin Hypertens. 2022;24:395–397. wileyonlinelibrary.com/journal/jch 395
396 MONE ET AL.
FIGURE 1 The complex relationship linking hypertension, arterial
stiffness, and obstructive sleep apnea (OSA)
Hypertension and obesity were the most common modifiable cardio-
vascular risk factors among OSA patients; approximately one-fourth
of OSA patients displayed an increased arterial stiffness, defined by a
brachial pulse pressure (PP) 60 mmHg. Albeit in an unadjusted logis-
tic regression model, OSA was associated with a 1.3-fold higher risk of
having increased PP, in a multivariable-adjusted model, OSA did not
retain its association with arterial stiffness, which was instead main-
tained by age, male sex, and history of hypertension. It is important to
note that the Authors only used PP to quantify arterial stiffness and
did not use PWV, generally considered the gold standard method; fur-
thermore, the duration of antihypertensive treatment in the popula-
tion was not known.
OSA is associated with a marked increase in sympathetic activity
during sleep, which influences heart rate and blood pressure.16
This augmented sympathetic activity in OSA patients is most
likely a result of intermittent hypoxemia, hypercapnia, and sleep
fragmentation.14,17,18 In a controlled trial, 318 patients with moderate-
to-severe OSA were randomized to either sleep education (control
arm) or continuous positive airway pressure (CPAP), or nocturnal sup-
plemental oxygen, for a period of 12 weeks; CPAP was associated with
a 2.8 mmHg greater reduction in mean arterial pressure compared
to controls, whereas supplemental oxygen alone did not significantly
reduce blood pressure.19
A recent large clinical trial conducted in 31 309 patients undergoing
overnight polysomnography revealed that patients with more severe
OSA as measured by the AHI are more likely to have incident venous
thromboembolism; however, adjusted analyses suggest that this asso-
ciation is explained due to confounding by obesity.20 Indeed, OSA
patients have been shown to have higher circulating levels of leptin
compared to controls, and these levels are positively correlated with
the AHI.21 Instead, the strong association between OSA and coronary
and cerebral vascular disease appears to be independent of shared risk
factors including adiposity.22
3OSA, HYPERTENSION, AND COGNITIVE
DYSFUNCTION
Hypertension is one of the main determinants of endothelial dysfunc-
tion, particularly in the aging population.23 Cognitive dysfunction is
a well-known complication of hypertension and other cardiovascular
diseases24,25 and several reports have highlighted the relationships
between arterial stiffness and cognition in hypertensive patients.26–28
Furthermore, OSA sleep-disordered breathing has been associated
with an increased risk of cognitive impairment.17,29 A recent study30
evidenced a significant correlation (r: 0.30; P: .002) between arte-
rial stiffness and executive function-processing speed performance in
patients with OSA and chronic obstructive pulmonary disease (COPD).
Therefore, it should be interesting to investigate the relationship
between arterial stiffness and cognitive dysfunction in hypertensive
patients with OSA.
4PERSPECTIVES: DIAGNOSING MORE,
TREATING BETTER
OSA remains too often underdiagnosed and undertreated in cardiovas-
cular practice, despite its high prevalence in patients with cardiovas-
cular disease and the vulnerability of cardiac patients to OSA-related
stressors. A recent scientific statement of the American Heart Asso-
ciation recommends screening for OSA in patients with resistant (or
poorly controlled) hypertension, pulmonary hypertension, and recur-
rent atrial fibrillation after either cardioversion or ablation.2
ACKNOWLEDGEMENTS
The Santulli’s Lab is supported in part by the National Institutes
of Health (NIH: R01-HL146691, R01-HL159062, R01-DK123259,
R01-DK033823, and T32-HL144456, to G.S.), by the Irma T. Hirschl
and Monique Weill-Caulier Trusts (to G.S.), and by the Diabetes
Action Research and Education Foundation (to G.S.); F.V. holds a
postdoctoral fellowship from the American Heart Association (AHA-
22POST995561).
CONFLICTS OF INTEREST
The authors have no competing interests.
ORCID
Gaetano Santulli MD, PhD https://orcid.org/0000-0001-7231-375X
REFERENCES
1. Dopp JM, Reichmuth KJ, Morgan BJ. Obstructive sleep apnea and
hypertension: mechanisms, evaluation, and management. Curr Hyper-
tens Rep. 2007;9(6):529-534. https://doi.org/10.1007/s11906-007-
0095-2
MONE ET AL.397
2. Yeghiazarians Y, Jneid H, Tietjens JR, et al. Obstructive Sleep Apnea
and Cardiovascular Disease: a Scientific Statement From the Amer-
ican Heart Association. Circulation. 2021;144(3):e56. https://doi.org/
10.1161/CIR.0000000000000988
3. McNicholas WT. COPD-OSA Overlap Syndrome: evolving Evidence
Regarding Epidemiology, Clinical Consequences, and Management.
Chest. 2017;152(6):1318-1326. https://doi.org/10.1016/j.chest.2017.
04.160
4. Carneiro G, Zanella MT. Obesity metabolic and hormonal disorders
associated with obstructive sleep apnea and their impact on the risk
of cardiovascular events. Metabolism. 2018;84:76–84. https://doi.org/
10.1016/j.metabol.2018.03.008
5. Redline S, Tishler PV, Hans MG, Tosteson TD, Strohl KP, Spry K. Racial
differences in sleep-disordered breathing in African-Americans and
Caucasians. Am J Respir Crit Care Med. 1997;155(1):186-192. https:
//doi.org/10.1164/ajrccm.155.1.9001310
6. Kapur VK, Auckley DH, Chowdhuri S, et al. Clinical Practice Guideline
for Diagnostic Testing for Adult Obstructive Sleep Apnea: an Ameri-
can Academy of Sleep Medicine Clinical Practice Guideline. J Clin Sleep
Med. 2017;13(3):479-504. https://doi.org/10.5664/jcsm.6506
7. Tam W, Ng SS, To KW, Ko FW, Hui DS. The interaction between hyper-
tension and obstructive sleep apnea on subjective daytime sleepiness.
J Clin Hypertens (Greenwich). 2019;21(3):390-396. https://doi.org/10.
1111/jch.13485
8. Konecny T, Kara T, Somers VK. Obstructive sleep apnea and hyperten-
sion: an update. Hypertension. 2014;63(2):203-209. https://doi.org/10.
1161/HYPERTENSIONAHA.113.00613
9. Vgontzas AN, Li Y, He F, et al. Mild-to-moderate sleep apnea is associ-
ated with incident hypertension: age effect. Sleep. 2019;42(4):zsy265.
https://doi.org/10.1093/sleep/zsy265
10. Guo X, Li Y, Yang Y, et al. Noninvasive markers of arterial stiffness and
renal outcomes in patients with chronic kidney disease. J Clin Hypertens
(Greenwich). 2021;23(4):823-830. https://doi.org/10.1111/jch.14185
11. Wilson S, Mone P, Jankauskas SS, Gambardella J, Santulli G. Chronic
kidney disease: definition, updated epidemiology, staging, and mech-
anisms of increased cardiovascular risk. J Clin Hypertens (Greenwich).
2021;23(4):831-834. https://doi.org/10.1111/jch.14186
12. Sapina-Beltran E, Torres G, Benitez I, et al. Prevalence, Characteris-
tics, and Association of Obstructive Sleep Apnea with Blood Pres-
sure Control in Patients with Resistant Hypertension. Ann Am Tho-
rac Soc. 2019;16(11):1414-1421. https://doi.org/10.1513/AnnalsATS.
201901-053OC
13. Martinez-Garcia MA, Navarro-Soriano C, Torres G, et al. Beyond Resis-
tant Hypertension. Hypertension. 2018;72(3):618-624. https://doi.org/
10.1161/HYPERTENSIONAHA.118.11170
14. Mansukhani MP, Covassin N, Somers VK. Apneic Sleep, Insufficient
Sleep, and Hypertension. Hypertension. 2019;73(4):744-756. https://
doi.org/10.1161/HYPERTENSIONAHA.118.11780
15. Saeed S, Romarheim A, Mancia G, et al. Characteristics of hypertension
and arterial stiffness in obstructive sleep apnea: a Scandinavian experi-
ence from a prospective study of 6408 normotensive and hypertensive
patients. J Clin Hypertens (Greenwich). 2022;24(4):385-394.
16. Venkataraman S, Vungarala S, Covassin N, Somers VK. Sleep
Apnea, Hypertension and the Sympathetic Nervous System in
the Adult Population. J Clin Med. 2020;9(2):591. https://doi.org/
10.3390/jcm9020591
17. Prabhakar NR, Peng YJ, Nanduri J. Hypoxia-inducible factors and
obstructive sleep apnea. J Clin Invest. 2020;130(10):5042-5051.
https://doi.org/10.1172/JCI137560
18. Somers VK, Dyken ME, Clary MP, Abboud FM. Sympathetic neural
mechanisms in obstructive sleep apnea. J Clin Invest. 1995;96(4):1897-
1904. https://doi.org/10.1172/JCI118235
19. Gottlieb DJ, Punjabi NM, Mehra R, et al. CPAP versus oxygen in
obstructive sleep apnea. NEnglJMed. 2014;370(24):2276-2285.
https://doi.org/10.1056/NEJMoa1306766
20. Genuardi MV, Rathore A, Ogilvie RP, et al. Incidence of venous
thromboembolism in patients with obstructive sleep apnea: a cohort
study. Chest. 2021. In press. https://doi.org/10.1016/j.chest.2021.
12.630
21. Li X, He J. The Association Between Serum/Plasma Leptin Levels
and Obstructive Sleep Apnea Syndrome: a Meta-Analysis and Meta-
Regression. Front Endocrinol (Lausanne). 2021;12:696418. https://doi.
org/10.3389/fendo.2021.696418
22. Gottlieb DJ. Sleep Apnea and Cardiovascular Disease. Curr Diab Rep.
2021;21(12):64. https://doi.org/10.1007/s11892-021-01426- z
23. Torngren K, Rylance R, Bjork J, et al. Association of coronary calcium
score with endothelial dysfunction and arterial stiffness. Atherosclero-
sis. 2020;313:70-75. https://doi.org/10.1016/j.atherosclerosis.2020.
09.022
24. Mone P, Gambardella J, Pansini A, et al. Cognitive Impairment in
Frail Hypertensive Elderly Patients: role of Hyperglycemia. Cells.
2021;10(8):2115. https://doi.org/10.3390/cells10082115
25. Mone P, Gambardella J, Pansini A, et al. Cognitive dysfunction corre-
lates with physical impairment in frail patients with acute myocardial
infarction. Aging Clin Exp Res. 2021. In press. https://doi.org/10.1007/
s40520-021- 01897-w
26. Hanon O, Haulon S, Lenoir H, et al. Relationship between arterial
stiffness and cognitive function in elderly subjects with complaints
of memory loss. Stroke. 2005;36(10):2193-2197. https://doi.org/10.
1161/01.STR.0000181771.82518.1c
27. Rensma SP, Stehouwer CDA, Van Boxtel MPJ, et al. Associ-
ations of Arterial Stiffness With Cognitive Performance, and
the Role of Microvascular Dysfunction: the Maastricht Study.
Hypertension. 2020;75(6):1607-1614. https://doi.org/10.1161/
HYPERTENSIONAHA.119.14307
28. Marfella R, Paolisso G. Increased Arterial Stiffness Trumps on Blood
Pressure in Predicting Cognitive Decline in Low-Risk Populations.
Hypertension. 2016;67(1):30-31.
29. Leng Y, McEvoy CT, Allen IE, Yaffe K. Association of Sleep-Disordered
Breathing With Cognitive Function and Risk of Cognitive Impair-
ment: a Systematic Review and Meta-analysis. JAMA Neurol.
2017;74(10):1237-1245. https://doi.org/10.1001/jamaneurol.2017.
2180
30. Luehrs RE, Moreau KL, Pierce GL, et al. Cognitive performance is
lower among individuals with overlap syndrome than in individuals
with COPD or obstructive sleep apnea alone: association with carotid
artery stiffness. J Appl Physiol (1985). 2021;131(1):131-141. https://
doi.org/10.1152/japplphysiol.00477.2020
How to cite this article: Mone P, Kansakar U, Varzideh F, et al.
Epidemiology of obstructive sleep apnea: what is the
contribution of hypertension and arterial stiffness? JClin
Hypertens. 2022;24:395–397.
https://doi.org/10.1111/jch.14426
... Third, intermittent hypoxia can increase renin production through renal sympathetic excitation and thereby increase the levels of plasma angiotensin-II, which shows vasoconstrictor activity, and aldosterone, which shows sodiumand water-retention effects [8]. Fourth, intermittent hy-poxia can result in vascular endothelial dysfunction and aberrant lipid metabolism, both of which are linked to atherosclerosis [9,10]. All of these factors can contribute to hypertension, and the increased blood pressure can exacerbate these pathophysiological processes [9][10][11]. ...
... Fourth, intermittent hy-poxia can result in vascular endothelial dysfunction and aberrant lipid metabolism, both of which are linked to atherosclerosis [9,10]. All of these factors can contribute to hypertension, and the increased blood pressure can exacerbate these pathophysiological processes [9][10][11]. The pathophysiological mechanisms underlying OSA and hypertension overlap and reinforce one another, and the resulting cardiovascular damage is significantly greater than that caused by hypertension or OSA alone. ...
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Background Hypertensive patients with obstructive sleep apnea (OSA) are at a high risk of cardiovascular disease (CVD), but assessments of CVD risk in this population are frequently constrained by the presence of comorbid medical conditions. The noninvasive and convenient hepatic steatosis index (HSI) can not only predict the degree of fatty liver degeneration but also correlates well with the severity of numerous diseases. However, the relationship between the HSI and CVD in hypertensive patients with OSA remains unclear. Methods This retrospective cohort study included patients aged ≥18 years with hypertension and a primary diagnosis of OSA and grouped them according to their baseline HSI. The primary outcome was new or recurrent major adverse cardiovascular and cerebrovascular events (MACCE), while the secondary outcomes were cardiac and cerebrovascular events. The relationship between the baseline HSI and the risk of endpoint events was evaluated using Kaplan–Meier curves, risk-factor graphs, and Cox regression models, while generalized additive models were used to identify linear relationships. The C-statistic, integrated discrimination improvement (IDI), and net reclassification index (NRI) were used to evaluate the predictive value of HSI increments for endpoint events. Results A total of 2467 participants were included in the analysis and separated into four groups (Q1–Q4) based on their HSI quartiles. Kaplan–Meier survival curves indicated that patients in the Q4 group had the lowest survival time. The Q4 group also showed a significantly higher risk of MACCE (HR [hazard ratio], 2.95; 95% CI [confidence interva]: 1.99–4.39; p < 0.001), cardiac events (HR, 2.80; 95% CI: 1.68–4.66; p < 0.001), and cerebrovascular events (HR, 3.21; 95% CI: 1.71–6.03; p < 0.001). The dose-response curve revealed a linear association between the HSI and the occurrence of endpoint events. For every unit increase in the HSI, the risks of MACCE, cardiac events, and cerebrovascular events increased by 43%, 38%, and 51%, respectively. The C-statistic, IDI, and NRI all indicated that the model including the HSI showed better discriminatory and classification efficacy for endpoint events in comparison with the conventional model (p < 0.05). Conclusions The HSI showed a linear relationship with the risk of MACCE in hypertensive OSA patients.
... In addition, regularly occurring states of oxygen deprivation, as well as the lack of duration of deep slow and REM sleep stages leads to disturbances in the functional activity of organism [27]. In particular, cardiovascular dynamics are very seriously affected, showing both progressive arterial hypertension, rhythm disturbances, and other conditions [28,29]. That said, obstructive nocturnal sleep apnoea syndrome is very common, aided greatly by the prevalence of sedentary lifestyles, obesity and other similar disruptions to normal behavioural habits in developed countries [30]. ...
... At the same time, differences in high-frequency brain activity could be demonstrated for both the duration and the number of patterns in the EEG oscillatory structure. In other words, in the region of frequencies exceeding the standard beta oscillation band (17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), not only quantitative changes during apnoea but also a qualitative transition of the structure to a different state was demonstrated. The combined analysis of the Figs. 4 and 5 suggests that the clustering of sleep, associated to OSA, is significant compared to normal sleep. ...
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We performed a wavelet analysis of oscillatory dynamics in brain activity of patients with obstructive sleep apnoea (OSA) (N=10, age 52.8±1352.8\pm 13 years, median 49 years; male/female ratio: 73), compared with a group of apparently healthy participants (N=15, age 51.5±29.551. 5\pm 29.5 years, median 42 years; malefemale ratio: 87), based on the calculation of patterns from electroencephalographic (EEG) signals of ***nighttime polysomnography (PSG) recordings. It was shown that there were no statistical differences in the number and duration of nocturnal sleep stages in patients of the two groups. The distributions of the number N and duration T of oscillatory wavelet patterns of EEG signals in bands Δfi=[i;i+2]\Delta f_i = [i; i+2], where i takes values from 2 to 38, have been estimated. Statistically significant differences in the characteristics of the distributions of the number and duration of patterns for the high-frequency bands Δf17\Delta f_{17}Δf19\Delta f_{19} (32 – 38 Hz) are shown. It is demonstrated that estimation of the coordinates of the height and the value of the maximum point of the distribution of the considered quantitative characteristics of the patterns allows clustering of the EEG processing results and demonstrates the separation of the nocturnal sleep characteristics of OSA patients and healthy volunteers. Evaluation based on the Mann–Whitney U-test shows statistically significant differences between N and T patterns assessed from nocturnal EEG recordings. The number and duration of high-frequency patterns are significantly reduced in the EEG of OSA patients compared to essentially healthy participants. It is possible that such a change in high-frequency activity is related to known structural changes in the brain.
... There are wide geographical variations existing in the prevalence of OSA. The reported prevalence in the United States is approximately 15-30% in males and 10-15% in females, while exceeding 50% in some countries [2,3]. Nevertheless, OSA remains largely underdiagnosed and the actual prevalence is estimated to be much higher, especially with the increase in prevalence of obesity from 30 to 42% [4][5][6]. ...
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... OSA occurs due to repetitive pauses in breathing originated from the collapse of the upper airways. It blocks the normal supply of oxygen to the blood resulting in hypoxia, weakness and disturbance in metabolic and other activities [3]. Sleep disturbance causes Excessive Daytime Sleepiness (EDS), weakness, irritability, attention deficiency and other psychological problems. ...
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This article demonstrates the Obstructive Sleep Apnea (OSA) study through Polysomnography (PSG) of a 40-years old Bangladeshi male patient who had been suffering from OSA and relevant complications for a long time. PSG study revealed severe OSA of the subject and thus suggested usage of nasal Continuous Positive Airway Pressure (CPAP) during sleep. Titration study of a CPAP machine of the patient set the air pressure at 11.5 cm H 2 O.
... This is especially relevant in our study because OSA specifically has been found to be more prevalent in the Black population. 57,58 This suggests that race may play a role in the prevalence of OSA. Future directions for research should focus on including a more representative study population so that racial subgrouping can be better represented. ...
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Background Obstructive sleep apnea (OSA) is a common sleep disorder associated with cardiovascular risks. This study aimed to assess the prevalence of probable OSA and its relationship with cardiovascular risks and diseases focusing on age‐stratified young adults (20–40 years) and older (>40 years). Methods and Results The study used a cross‐sectional design, analyzing data from the National Health and Nutrition Examination Survey conducted between 2013 and 2018, comprising 9887 community‐dwelling adults aged ≥20 years. Probable OSA was determined on the basis of self‐report of OSA‐related symptoms (eg, snoring, gasping/breath cessation while sleeping). Cardiovascular risk factors, including hypertension, diabetes, hyperlipidemia, and metabolic syndrome, were evaluated according to established guidelines. Cardiovascular diseases (CVDs) included self‐reported heart conditions, including congestive heart failure, coronary heart disease, angina, heart attacks, and strokes. Individuals with probable OSA showed a significantly higher prevalence of health conditions, including hypertension (adjusted prevalence ratio [aPR], 1.19; P <0.001), diabetes (aPR, 1.17; P : 0.01), metabolic syndrome (aPR, 1.14; P <0.001), heart attack (aPR, 1.63; P <0.01), stroke (aPR, 1.41; P : 0.03), and any CVD event (aPR, 1.36; P : 0.01) after adjusting for relevant factors. Young adults with probable OSA showed higher prevalence rates of any CVD events (aPR, 3.44; P <0.001), hypertension (aPR, 1.45; P <0.001), metabolic syndrome (aPR, 1.25; P <0.001), and angina (aPR, 10.39; P <0.001). Conclusions The study suggests early identification and management of OSA in individuals at risk for CVD. While cross‐sectional, it emphasizes that health care providers should recognize OSA as significantly associated with CVDs and its precursor risks in young adults, stressing proactive care and screening to reduce CVD risk in this population.
... In earlier studies in children with and without chronic disease, a higher aortic PWV was associated with dyslipidemia, obesity and chronic disease, and was adversely associated with cardiac function and cardiorespiratory fitness [2,[18][19][20][21][22][23]. In adults, aortic PWV is the gold standard for assessing aortic stiffness, and a strong predictor of atherosclerotic disease and cardiovascular events, independent of established cardiovascular risk factors [24][25][26][27]. The observed association between aortic PWV and LVGLS might reflect adverse arterioventricular interaction in adolescents with chronic disease. ...
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... Intermittent hypoxia, systemic inflammation, sympathetic nerve activation, and endothelial dysfunction caused by OSA are important mechanisms that induce cardiovascular and cerebrovascular diseases (56)(57)(58)(59). The strong association between OSA and coronary and cerebrovascular disease appears to be independent of shared risk factors, including obesity (60). Most studies have shown a causal relationship between OSA severity (as assessed using AHI) and the risk of cardiovascular events (61). ...
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Background Obstructive sleep apnea (OSA) is an important but frequently overlooked risk factor for hypertension (HTN). The prevalence of hypertension is high in patients with OSA, but the differences in clinical symptoms and comorbidities between patients with OSA with hypertension and those with normal blood pressure have not been fully defined. Methods This study retrospectively analyzed OSA patients diagnosed for the first time in Lihuili Hospital Affiliated to Ningbo University from 2016 to 2020. Patients were divided into an OSA group with hypertension and an OSA group without hypertension. The sociodemographic information, clinical symptoms, comorbidities, and polysomnography results of the two groups were compared. The independent risk factors associated with hypertension in patients with OSA were explored. Results A total of 1108 patients with OSA initially diagnosed were included in the study, including 387 with hypertension and 721 without. Compared with OSA patients without hypertension, OSA patients with hypertension were older; had a higher body mass index (BMI) and Epworth sleepiness score (ESS); a higher incidence of nocturia; and a higher proportion of diabetes mellitus, coronary heart disease, and cerebrovascular disease. Multivariate analysis showed age (odds ratio [OR]:1.06, 95% confidence interval [CI]:1.04-1.08), BMI (OR:1.17, 95% CI:1.11-1.23), ESS score (OR:0.97, 95%CI: 0.94-1.00) and nocturia symptoms (OR:1.64, 95% CI:1.19-2.27) was independently associated with hypertension in OSA patients, and comorbid diabetes (OR: 3.86, 95% CI: 2.31-6.45), coronary heart disease (OR: 1.90, 95% CI:1.15-3.16), and ischemic stroke (OR: 3.69,95% CI:1.31-10.40) was independently associated with hypertension in OSA patients. Conclusion Compared to OSA patients with normal blood pressure, OSA patients with hypertension had more significant daytime sleepiness, more frequent nocturnal urination, and a higher risk of diabetes, coronary heart disease, and cerebrovascular disease.
... This collapse can occur at various levels of upper airway including the soft palate (majority of cases), tongue, tonsils, pharynx, and epiglottis [9,11]. It has been reported that 15-30% of men and 10-15% of women in the United States suffer from OSA with obstructive apnea hypopnea index (AHI) of more than five events per hour of sleep [12]. Previous studies have shown that patients with SCD may be at higher risk of development of OSA in comparison to healthy individuals [13][14][15]. ...
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... Our results were consistent with previous studies, which found that elastic arteries became stiffer than peripheral muscular arteries in middle age due to degradation of elastin [20,24]. In addition, hormonal changes, oxidative stress, as well as a higher susceptibility to conventional vascular risk factors accumulating after menopause might play a role in the regulation of compliance in larger arteries [25][26][27]. ...
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Background This study investigated the correlation in parameters of arterial stiffness and cardiovascular disease (CVD) risk on age and body mass index (BMI) in Chinese females. Methods This cross-sectional study enrolled 2220 females. Arterial stiffness was assessed by the measurement of arterial velocity pulse index (AVI) and arterial pressure volume index (API). Individual 10-year cardiovascular risk was calculated for each patient using the Framingham cardiovascular risk score (FCVRS). Results API and AVI had a significant J-shaped relationship with age. Beginning at the age of 30 years, the API started to increase, while after 49 years, the increase in API was even steeper. AVI increased from the age of 32 years, and increased more rapidly after 56 years. The linear association between API and BMI following adjustment for age was significant (β = 0.324, 95% CI 0.247–0.400, p < 0.001). In the total study cohort, FCVRS scores increased by 0.16 scores for every 1 kg/m² increase in BMI and by 0.11 scores for each 1 value increase in API in the age adjusted model. Conclusions API and BMI correlate with 10-year cardiovascular risk at various ages in females. Regardless of age, overweight females have a higher risk of increased API. Therefore API can be used for the early detection of CVD so that preventive therapy can be instituted in these high risk patients. Clinical Trial Registration Registered on the official website of the China Clinical Trial Registration Center (20/08/2020, ChiCTR2000035937).
... Our results were consistent with previous studies, which found that elastic arteries became stiffer than peripheral muscular arteries in middle age due to degradation of elastin [20,24]. In addition, hormonal changes, oxidative stress, as well as a higher susceptibility to conventional vascular risk factors accumulating after menopause might play a role in the regulation of compliance in larger arteries [25][26][27]. ...
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Purpose of Review Obstructive sleep apnea (OSA) is associated with incident coronary and cerebral vascular disease. The mechanisms underlying this association are thought to include increased sympathetic nervous system activity, oxidative stress, and systemic inflammation, with these effects mediated in part by elevated blood pressure and impaired glucose metabolism. In observational studies, OSA treatment with positive airway pressure (PAP) is associated with a reduction in cardiovascular disease risk. The aim of this review is to evaluate evidence from recent clinical trials that tested the impact of OSA treatment on major cardiovascular disease outcomes. Recent Findings Multicenter randomized trials have demonstrated a significant, albeit modest, reduction in blood pressure with OSA treatment. Treatment of OSA has generally not demonstrated improvement in type 2 diabetes mellitus, although limited evidence suggests that treatment may be effective in the prediabetic period. However, recent randomized trials of PAP treatment for OSA failed to demonstrate a reduction in incident or recurrent cardiovascular disease events. This may reflect the enrollment of a mostly non-sleepy study sample, as recent evidence suggests that sleepiness is a predictor of adverse cardiovascular outcomes from OSA. Summary PAP treatment of OSA lowers blood pressure and may improve glucose metabolism; however, randomized clinical trials do not indicate a reduction in cardiovascular risk with treatment of minimally symptomatic OSA patients.
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Background Obstructive sleep apnea syndrome (OSAS) is associated with various adipokines. Leptin, a common adipokine, has attracted considerable attention of many researchers in recent years. So far, there has been little agreement on whether blood leptin levels differ in patients with OSAS. Thus, this meta-analysis examined the relationship between serum/plasma leptin levels and the occurrence of OSAS. Method WanFang, Embase, CNKI, Medline, SinoMed, Web of Science, and PubMed were searched for articles before March 30, 2021, with no language limitations. STATA version 11.0 and R software version 3.6.1 were used to analyze the obtained data. The weighted mean difference and correlation coefficients were used as the main effect sizes with a random-effects model and a fixed-effects model, respectively. Trial sequential analysis was conducted using dedicated software. Result Screening of 34 publications identified 45 studies that met the inclusion criteria of this meta-analysis and meta-regression. Our results suggested that plasma/serum leptin levels were remarkably higher in individuals with OSAS than in healthy individuals. Subgroup analyses were performed based on OSAS severity, ethnicity, age, body mass index, assay type, and sample source. The serum and plasma leptin levels were increased in nearly all OSAS subgroups compared to those in the corresponding control groups. Meta-regression analysis indicated that age, BMI, severity, assay approaches, study design, PSG type and ethnicity did not have independent effect on leptin levels. Furthermore, a positive relationship between the serum/plasma leptin level and apnea-hypopnea index (AHI) was found in the meta-analysis. The results of the trial sequential analysis suggested that the enrolled studies surpassed the required information size, confirming that our study findings were reliable. Conclusion Our study results demonstrate that OSAS patients have higher leptin levels in serum/plasma compared to controls, and the serum/plasma leptin level is positively correlated with AHI, especially in adults.
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Background Previous studies suggesting that obstructive sleep apnea (OSA) may be an independent risk factor for venous thromboembolism (VTE) have been limited by reliance on administrative data and lack of adjustment for clinical variables, including obesity. Research Question Does OSA confer an independent risk of incident VTE among a large clinical cohort referred for sleep disordered breathing evaluation? Study Design and Methods We analyzed the clinical outcomes of 31,309 patients undergoing overnight polysomnography within a large hospital system. We evaluated the association of OSA severity with incident VTE using Cox proportional hazards modeling accounting for age, sex, body mass index (BMI), and common comorbid conditions. Results Patients were of mean age 50.4 years and 50.1% female. There were 1,791 VTE events identified over a mean follow-up of 5.3 years. In age and sex-adjusted analyses, each 10 event/hr increase in the apnea hypopnea index (AHI) was associated with a 4% increase in incident VTE risk (hazard ratio [HR] 1.04, 95% confidence interval [CI] 1.02-1.05). After adjusting for BMI, this association disappeared (HR 1.01, 95% CI 0.99–1.03). In contrast, nocturnal hypoxemia had an independent association with incident VTE. Patients with >50% sleep time spent with oxyhemoglobin saturation <90% are at 48% increased VTE risk compared to those without nocturnal hypoxemia (HR 1.48, 95% CI 1.16-1.69). Interpretation In this large cohort, we found that patients with more severe OSA as measured by the AHI are more likely to have incident VTE. Adjusted analyses suggest that this association is explained due to confounding by obesity. However, severe nocturnal hypoxemia may be a mechanism by which OSA heightens VTE risk.
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Obstructive sleep apnea (OSA) is characterized by recurrent complete and partial upper airway obstructive events, resulting in intermittent hypoxemia, autonomic fluctuation, and sleep fragmentation. Approximately 34% and 17% of middle-aged men and women, respectively, meet the diagnostic criteria for OSA. Sleep disturbances are common and underdiagnosed among middle-aged and older adults, and the prevalence varies by race/ethnicity, sex, and obesity status. OSA prevalence is as high as 40% to 80% in patients with hypertension, heart failure, coronary artery disease, pulmonary hypertension, atrial fibrillation, and stroke. Despite its high prevalence in patients with heart disease and the vulnerability of cardiac patients to OSA-related stressors and adverse cardiovascular outcomes, OSA is often underrecognized and undertreated in cardiovascular practice. We recommend screening for OSA in patients with resistant/poorly controlled hypertension, pulmonary hypertension, and recurrent atrial fibrillation after either cardioversion or ablation. In patients with New York Heart Association class II to IV heart failure and suspicion of sleep-disordered breathing or excessive daytime sleepiness, a formal sleep assessment is reasonable. In patients with tachy-brady syndrome or ventricular tachycardia or survivors of sudden cardiac death in whom sleep apnea is suspected after a comprehensive sleep assessment, evaluation for sleep apnea should be considered. After stroke, clinical equipoise exists with respect to screening and treatment. Patients with nocturnally occurring angina, myocardial infarction, arrhythmias, or appropriate shocks from implanted cardioverter-defibrillators may be especially likely to have comorbid sleep apnea. All patients with OSA should be considered for treatment, including behavioral modifications and weight loss as indicated. Continuous positive airway pressure should be offered to patients with severe OSA, whereas oral appliances can be considered for those with mild to moderate OSA or for continuous positive airway pressure–intolerant patients. Follow-up sleep testing should be performed to assess the effectiveness of treatment.
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Background: Chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea (OSA) are both independently associated with increased cardiovascular disease (CVD) risk and impaired cognitive function. It is unknown if individuals with both COPD and OSA (i.e. overlap syndrome) have greater common carotid artery (CCA) stiffness, an independent predictor of CVD risk, and lower cognitive performance than either COPD or OSA alone. Elevated CCA stiffness is associated with cognitive impairment in former smokers with and without COPD in past studies. Methods: We compared CCA stiffness and cognitive performance between former smokers with overlap syndrome, COPD only, OSA only and former smoker controls using analysis of covariance (ANCOVA) tests to adjust for age, sex, body mass index (BMI), pack-years and post-bronchodilator FEV1/FVC. We also examined the association between carotid artery stiffness and cognitive performance among each group separately. Results: Individuals with overlap syndrome (n=12) had greater CCA β-stiffness index (p=0.015) and lower executive function-processing speed (p=0.019) than individuals with COPD alone (n=47), OSA alone (n=9) and former smoker controls (n=21), differences that remained significant after adjusting for age, BMI, sex, pack-years and FEV1/FVC. Higher CCA β-stiffness index was associated with lower executive function-processing speed in individuals with overlap syndrome (r=-0.58, p=0.047). Conclusion: These data suggest that CCA stiffness is greater and cognitive performance is lower among individuals with overlap syndrome compared with individuals with COPD or OSA alone and that CCA stiffening may be an underlying mechanism contributing to the lower cognitive performance observed in patients with overlap syndrome.