Association of sleep disturbance and sleep apnea with the size of the thoracic aorta and the main pulmonary artery

Abstract

Obstructive sleep apnea (OSA) is associated with an increased prevalence of aortic aneurysm, but the impact of OSA on the subclinical damage of large thoracic vessels remains controversial. Short sleep duration and poor sleep quality has been reported to be related with higher arterial stiffness. In the current study, we aimed to investigate the association of sleep disturbance and sleep apnea with the size of the ascending aorta (AA), descending thoracic aorta (DTA), and main pulmonary artery (MPA). One hundred and fifty-five newly diagnosed OSA patients free of cardiovascular disease and medication were included. In-laboratory polysomnography (PSG) and chest computed tomography (CT) scanning were performed. The sleep duration was defined as total sleep time (TST) as recorded during overnight PSG, with TST < 6 h defined as short sleep duration. Sleep latency (SL), sleep efficiency (SE) and wake after sleep onset (WASO) were used to assess the objective sleep quality, and the Epworth Sleepiness Scale (ESS) was used to assess EDS (excessive daytime sleepiness). The diameter of AA was positively associated with age (B = 0.199, P < 0.001) and diastolic blood pressure (DBP) (B = 0.103, P < 0.001), and was negatively associated with mean pulse oxygen saturation (SpO₂mean) (B = − 0.176, P = 0.022). The diameter of DTA was positively associated with age (B = 0.112, P < 0.001), body mass index (BMI) (B = 0.184, P = 0.041), and DBP (B = 0.033, P = 0.024), and was negatively associated with TST (B = − 0.006, P = 0.023). Neither nocturnal hypoxia nor TST were associated with the diameter of MPA or the ratio of MPA to AA (PA/A). The aortic or MPA measurements were not associated with SL, SE, WASO or ESS. In patients with OSA, nocturnal hypoxia and sleep duration were associated with the diameter of AA and DTA, respectively. It is suggested that sleep apnea and sleep disturbance may exert effects on the remodeling and enlargement of thoracic large vessels through distinctive mechanisms.

Introduction

Aortic diseases, including aortic aneurysms or aortic dissection, remain fatal nowadays. Despite advances in the management of acute vascular events, the short and long-term prognoses are still poor. Aortic dilation can evolve in aneurysm, with a greater risk of rupture or dissection. Sleep disorders, including sleep disordered breathing (SDB) and sleep disturbances, have been shown to play an important role in the pathogenesis of vascular dysfunction and hypertension, conditions which may promote dilation and subsequent aortic dissection and rupture¹. Besides, SDB has the potential to increase pulmonary arterial pressure (PAP) not only during sleep, but also in the waking state, and patients with pulmonary arterial hypertension (PAH) are at risk of developing SDB².

Obstructive sleep apnea (OSA) is characterized by repeated episodes of complete or partial collapse of the upper airway during sleep, resulting in intermittent hypoxia, sleep fragmentation, sympathetic activation and fluctuation of intrathoracic pressure. Although the association between OSA and cardiovascular diseases has been the hot topic over the past 30 years, limited studies have been focused on the potential impact of OSA on aorta. Several observational studies have reported that OSA is highly prevalent among patients with aortic aneurysms and aortic dissections. Patients with co-occurring OSA and Marfan’s syndrome as well as patients at the more severe end of the spectrum of OSA seem to be especially vulnerable to aortic disease^3,4. However, the impact of OSA on subclinical aorta damage, that is the aorta dilation or aorta size remains controversial. OSA has also been shown to be an aggravating factor for pulmonary hypertension and responsible for a small increase in PAP over the long term, but its association with the dimension of pulmonary artery has rarely been investigated⁵.

Sleep disturbance is being increasingly recognized as a risk to cardiovascular (CV) health. While most of the studies have focused on SDB, a limited number of studies have recently addressed other aspects of sleep such as sleep duration, sleep quality and excessive daytime sleepiness (EDS)^6–8. Several studies have reported that sleep disturbances, such as sleep deprivation, EDS and insomnia, are associated with insulin resistance, visceral obesity, arterial stiffness and hypertension^9,10. However, no previous studies have reported the association of these sleep disturbances with subclinical changes of large arteries. In the current study, we aimed to investigate the association between sleep disturbances with CT-measured size of the thoracic aorta and main pulmonary artery (MPA), taking into account of SDB.

Materials and method

Study population

This was an observational, prospective study of patients with a new diagnosis of moderate to severe OSA free of cardiovascular disease and medication, enrolled in sleep center of the National Respiratory Disease Research Center at the China-Japan Friendship Hospital from May 2021 to December 2022. All patients underwent questionnaire assessment, anthropometry and comorbidities assessment, PSG monitoring, and chest CT scans. Patients with significant cardiopulmonary diseases such as chronic obstructive pulmonary disease, interstitial lung disease, pulmonary vascular diseases, chronic heart failure with reduced ejection fraction, current medical condition of chronic sleep disruption such as pain, psychiatric disorders, or current use of hypnotics, anxiolytics, antidepressants, and any other antipsychotics were excluded from the study. The study was approved by the Ethic Committee of the China-Japan Friendship Hospital, and written informed consent was obtained from all participants.

Anthropometry, symptoms, and comorbidity

Anthropometric indices including body mass index (BMI), neck circumference (NC), waist circumference, and hip circumference were collected. EDS was assessed using the Epworth Sleepiness Scale (ESS). Blood pressure (BP) was measured according to standard methods and recorded BP was the average of 3 consecutive readings during a 5-min period following at least 10 min of rest in the supine position. The comorbid conditions of cardiovascular disease, hypertension, type 2 diabetes mellitus were examined based on medical history, biochemical profiles, and medications.

Polysomnography (PSG) study

All subjects underwent one night of full overnight diagnostic PSG (Alice 6, Philips Respironics, Murrysville, Pennsylvania, United States). Subjects were allowed to follow their habitual sleep time. All data were analyzed by experienced PSG technologists based on the 2012 American Academy of Sleep Medicine criteria¹¹. The sleep duration was defined as total sleep time (TST) as recorded during overnight PSG, with TST < 6 h defined as short sleepers and TST ≥ 6 h as normal sleepers. Sleep efficiency (SE) is the ratio of the amount of total time asleep versus the total time in bed. Sleep latency (SL), also referred to as sleep onset latency is the time it takes to transition from the state of wakefulness to sleep. Wake after sleep onset (WASO) is the total amount of wake time after sleep onset until final awakening. Heart rate variability (HRV) parameters SD1 and SD2 are derived from Poincaré plots. SD1 and SD2 correspond to the standard deviations perpendicular and along the line of identity in the Poincaré ellipse, respectively. SD1 (short-term variability) reflects instantaneous RR-interval differences. SD2 (long-term variability) represents overall RR-interval dispersion. The SD1/SD2 ratio reflects autonomic nervous balance: lower values indicate sympathetic dominance.

Chest computed tomography scans and vascular measurements

All eligible patients underwent a chest CT scan using low-dose 128-slice scanner (GE Medical Systems). Scanning was conducted when the subject was awake and supine. The scans were acquired at a 0.5 mm collimation/interval and were reconstructed at a 1 mm thickness/interval, with 120 kV, 100 mA, and a rotation time of 0.5 s. Vascular measurements were performed by an investigator who was unaware of the participants’ clinical characteristics. The sizes of AA, DTA, and MPA were calculated as described in previous studies^12,13. At the level of the main pulmonary artery’s bifurcation, we corrected the plane along the sagittal and coronal reconstructions respectively. Then, find the oblique plane perpendicular to the ascending aorta to obtain the real transverse area of the vessel. A similar technique was applied to measure the dimensions of the DTA and the MPA using the same image, as shown in Fig. 1. The normative value for PA:A ratio (PA/A) of 0.9 for both sexes was used to define pulmonary arteria enlargement (PAE) according to the Framingham Heart Study.

Fig. 1.

Method of large vessel measurements on Chest CT. (A) Diameter of the ascending aorta; (B) diameter of the main pulmonary artery; (C) diameter of the descending aorta.

Statistical analysis

Comparisons of continuous variables between groups were determined by the unpaired t test and the chi-square test was used for categorical data. Pearson correlation was used to assess the possible relations between demographic parameters and sleep variables with vascular dimensions. Univariate regression analysis was used to determine the association of potential predictor variables with the vascular dimensions. Predictor variables with P < 0.10 according to the bivariate analysis were selected for multivariate regression analysis. A value of P < 0.05 was considered statistically significant. All analyses were conducted with SPSS 22.0 (SPSS Inc., Chicago, Illinois, United States).

Results

Study population characteristics

One hundred and fifty-five patients with OSA were enrolled in this study and were divided into two groups according to TST. The anthropometric metrics, sex distribution, smoking status, mean ESS score, sleep structure, severity of OSA, nocturnal hypoxia, blood pressure and heart rate variability (SD1/SD2) were comparable between short sleepers and normal sleepers. However, short sleeper tended to be older (49.55 ± 13.92 vs 43.05 ± 11.75, P = 0.021), had lower sleep efficiency (70.1% ± 10.3% vs 86.4 ± 8.2%, P < 0.001) and larger diameters of DTA (25.27 ± 3.25 vs 23.80 ± 2.52, P = 0.007). There were no differences in the diameters of AA and MPA, as well as the frequency of PAE between the two groups (Table 1). AA, DTA and MPA measures as a function of sleep duration categories are depicted in Fig. 2.

Table 1.

Baseline patient characteristics.

All OSA patients (n = 155)		Grouped according to TST
		With TST < 6 h (n = 31)	With TST ≥ 6 h (n = 124)	P value
Age, years	44.35 ± 12.46	49.55 ± 13.92	43.05 ± 11.75	0.021
Male sex, n (%)	132(85.16%)	27 (87.10%)	105 (84.67%)	0.735
BMI, kg/m2	28.01 ± 4.13	27.64 ± 3.69	28.10 ± 4.24	0.584
Neck circumference, cm	40.10 ± 3.76	40.00 ± 3.09	40.12 ± 3.93	0.873
Waist circumference, cm	98.03 ± 11.06	97.53 ± 8.94	98.16 ± 11.58	0.789
Hip circumference, cm	105.04 ± 8.73	104.67 ± 7.31	105.13 ± 9.09	0.796
Waist/hip	0.93 ± 0.06	0.93 ± 0.06	0.93 ± 0.06	0.946
Current smoking, n (%)	60 (38.71%)	12 (38.71)	48 (38.71%)	1.000
Hypertension, n (%)	50 (32.26%)	11(35.48%)	39 (31.45%)	0.668
Diabetes mellitus, n (%)	16 (10.32%)	2 (6.45%)	14 (11.29%)	0.428
ESS	9.15 ± 4.86	9.15 ± 3.88	9.15 ± 5.08	0.995
TST, minutes	415.19 ± 71.54	310.69 ± 42.87	441.31 ± 50.19	< 0.001
SE, %	83.1% (10.8%)	70.1 ± 10.3	86.4 ± 8.2	< 0.001
SL, min	16.5(22.9)	22.9 ± 22.9	14.9 ± 22.7	0.083
WASO, min	64.3 ± 33.3	92.0 ± 28.9	57.4 ± 30.8	< 0.001
N1, %	22.34 ± 15.77	20.15 ± 15.74	22.89 ± 15.80	0.389
N2, %	44.35 ± 12.85	46.61 ± 12.89	43.79 ± 12.84	0.276
N3, %	13.09 ± 9.50	12.88 ± 10.27	13.14 ± 9.34	0.890
R, %	19.99 ± 6.82	20.02 ± 7.74	19.98 ± 6.60	0.973
AHI, events/h	41.80 ± 26.45	39.17 ± 24.71	41.46 ± 24.92	0.537
AI, events/h	25.73 ± 26.10	22.14 ± 20.33	26.63 ± 27.35	0.313
HI, events/h	15.54 ± 11.30	17.01 ± 14.39	15.18 ± 10.43	0.508
ODI, events/h	36.92 ± 28.38	34.72 ± 26.14	37.47 ± 28.99	0.631
T90, %	11.83 ± 20.39	10.49 ± 17.07	12.16 ± 21.19	0.684
SpO2min, %	76.55 ± 13.64	77.9 ± 13.39	76.22 ± 13.73	0.540
SpO2mean, %	93.80 ± 3.70	93.97 ± 3.02	93.76 ± 3.86	0.779
SBPmean, mmHg	132.41 ± 18.17	134.73 ± 20.07	131.83 ± 17.70	0.435
DBPmean, mmHg	84.39 ± 13.21	86.23 ± 13.32	83.93 ± 13.19	0.394
SD1/SD2	0.33 ± 0.16	0.30 ± 0.17	0.34 ± 0.16	0.256
MPA, mm	26.80 ± 3.31	26.42 ± 3.31	26.89 ± 3.31	0.475
AA, mm	31.79 ± 4.17	32.75 ± 5.58	31.55 ± 3.72	0.264
DTA, mm	33.28 ± 2.74	25.27 ± 3.25	23.80 ± 2.52	0.007
PA/A	0.85 ± 0.12	0.81 ± 0.11	0.86 ± 0.12	0.084
PA/A > 0.9, %	55 (35.48%)	9 (29.03)	46 (37.10)	0.401

Data presented as mean ± standard deviation or n (%).

AA ascending aorta, AHI apnea–hypopnea, BMI body mass index, DBP diastolic blood pressure, DTA descending thoracic aorta, ESS Epworth Sleepiness Scale, MPA main pulmonary artery, ODI oxygen desaturation index, SpO2mean nocturnal oxygen saturation, SpO2min minimum nocturnal oxygen saturation, T90 time of oxygen saturation < 90%, TST total sleep time, OSA obstructive sleep apnea, WASO wake after sleep onset, SBP systolic blood pressure, SE sleep efficiency, SL sleep latency, SD1/SD2 short-term variability/long-term variability.

Fig. 2.

Patients were separated by TST. The diameter of DTA was increased in short sleepers (25.27 ± 3.25 vs 23.80 ± 2.52, P = 0.007).

Correlates of vascular dimensions in patients with OSA

The size of AA was correlated with age, SBP, DBP, T90, ODI, SD1/SD2, and SpO₂mean. The size of DTA was correlated with age, SBP, DBP, and TST. The size of MPA was correlated with BMI and SpO₂mean. PA/A was not correlated with patient characteristics or sleep-relevant parameters, except age. No significant correlations were found between vascular dimensions and EDS, SL, SE or WASO (Table 2, Fig. 3).

Table 2.

Correlates of vascular dimensions in patients with OSA.

		Age	Male	BMI	SBP	DBP	ESS	TST	SE	SL	WASO	SD1/SD2	AHI	T90	ODI	SpO2mean
AA	Rho oef	0.505	− 0.073	0.119	0.219	0.227	0.069	− 0.111	− 0.074	− 0.061	0.032	0.250	0.142	0.201	0.168	− 0.168
	P value	< 0.001	NS	NS	0.007	0.005	NS	NS	NS	NS	NS	0.002	NS	0.012	0.036	0.037
DTA	Rho oef	0.420	0.102	0.188	0.206	0.184	0.089	− 0.170	− 0.154	− 0.019	0.117	0.043	0.026	0.095	0.056	− 0.088
	P value	< 0.001	NS	0.019	0.011	0.025	NS	0.034	NS	NS	NS	NS	NS	NS	NS	NS
MPA	Rho coef	− 0.021	0.061	0.243	0.077	0.066	0.033	− 0.081	− .029	0.052	0.062	0060	0.076	0.113	0.133	− 0.167
	P value	NS	NS	0.002	NS	NS	NS	NS	NS	NS	NS	NS	NS	NS	NS	0.037
P/AA	Rho coef	− 0.480	0.088	0.098	− 0.141	− 0.148	− 0.006	0.059	.030	0.114	0.029	− 0.144	− 0.070	− 0.074	− 0.044	0.018
	P value	< 0.001	NS	NS	NS	NS	NS	NS	NS	NS	NS	NS	NS	NS	NS	NS

AA ascending aorta, AHI apnea–hypopnea, BMI body mass index, DBP diastolic blood pressure, DTA descending thoracic aorta, ESS Epworth Sleepiness Scale, MPA main pulmonary artery, ODI oxygen desaturation index, SpO2mean nocturnal oxygen saturation, SpO2min minimum nocturnal oxygen saturation, T90 time of oxygen saturation < 90%, TST total sleep time, OSA obstructive sleep apnea, WASO wake after sleep onset, SBP systolic blood pressure, SE sleep efficiency, SL sleep latency, SD1/SD2 short-term variability/long-term variability.

Fig. 3.

Correlates of vascular dimensions in patients with OSA. (A) The diameter of AA was negatively correlated with SpO₂mean (B = − 0.168, P = 0.037); (B) The diameter of DTA was negatively correlated with TST (B = − 0.170, P = 0.034); (C) The diameter of MPA was negatively correlated with SpO₂mean (B = − 0.167, P = 0.037).

Possible predictors of vascular dimensions

Multiple regression analysis was performed with age, sex, BMI, blood pressure, TST, SD1/SD2, sleep structure profiles and OSA severity parameters included as independent variables, and AA, DTA, MPA and P/AA included as the dependent variables. The diameter of AA was positively associated with age (B = 0.199, P < 0.001) and DBP (B = 0.103, P = 0.001), and was negatively associated with SpO₂mean (B = − 0.176, P = 0.022). The diameter of DTA was positively associated with age (B = 0.112, P < 0.001), BMI (B = 0.184, P < 0.001), and DBP (B = 0.033, P = 0.024), and was negatively associated with TST (B = − 0.006, P = 0.023). Neither nocturnal hypoxia parameters nor TST were associated with the diameter of MPA except BMI (B = 0.194, P = 0.002). P/AA was negatively associated with age (B = − 0.005, P < 0.001) and DBP (B = − 0.002, P = 0.033). Parameters of sleep quality (SL, SE, WASO, ESS) were not associated with any vessel measurements (Table 3).

Table 3.

Possible predictors of vascular dimensions.

	AA		DTA		MPA		P/AA
	B	P value	B	P value	B	P value	B	P value
Univariate analysis
Age	0.174	< 0.001	0.099	< 0.001	0.001	0.97	− 0.005	< 0.001
Male sex	0.453	0.632	0.990	0.110	0.520	0.49	0.030	0.278
BMI	0.116	0.153	0.115	0.031	0.194	0.002	0.003	0.256
SBP	0.052	0.006	0.025	0.012	0.010	0.485	− 0.001	0.047
DBP	0.071	0.006	0.035	0.017	0.014	0.488	− 0.001	0.066
TST	− 0.051	0.578	− 0.008	0.006	− 0.003	0.442	< 0.001	0.272
ESS	0.063	0.412	0.073	0.130	0.040	0.510	< 0.001	0.875
SL	− 0.011	0.453	− 0.002	0.819	0.007	0.521	0.001	0.157
SE	− 0.029	0.358	− 0.039	0.056	− 0.009	0.720	< 0.001	0.716
WASO	0.004	0.695	0.010	0.146	0.006	0.445	< 0.001	0.721
AHI	0.011	0.388	0.010	0.967	0.010	0.337	< 0.001	0.879
ODI	0.015	0.211	0.003	0.713	0.015	0.114	< 0.001	0.976
SpO2mean	− 0.011	0.018	− 0.007	0.910	− 0.120	0.095	− 0.002	0.422
T90	0.004	0.829	0.002	0.881	0.018	0.160	< 0.001	0.400
SD1/SD2	7.422	< 0.001	0.521	0.713	2.463	0.151	− 0.115	0.066
Multivariate analysis
Age	0.199	< 0.001	0.112	< 0.001	N/A	N/A	− 0.005	< 0.001
BMI	N/A	N/A	0.184	< 0.001	0.194	0.002	N/A	N/A
SBP	0.013	0.543	0.112	0.246	N/A	N/A	< 0.001	0.866
DBP	0.103	0.001	0.033	0.024	N/A	N/A	− 0.002	0.033
SpO2mean	− 0.176	0.022	N/A	N/A	N/A	N/A	N/A	N/A
TST	N/A	N/A	− 0.006	0.023	N/A	N/A	N/A	N/A
SD1/SD2	3.145	0.079	N/A	N/A	N/A	N/A	− 0.017	0.775

AA ascending aorta, AHI apnea–hypopnea, BMI body mass index, DBP diastolic blood pressure, DTA descending thoracic aorta, ESS Epworth Sleepiness Scale, MPA main pulmonary artery, ODI oxygen desaturation index, SpO2mean nocturnal oxygen saturation, SpO2min minimum nocturnal oxygen saturation, T90 time of oxygen saturation < 90%, TST total sleep time, OSA obstructive sleep apnea, WASO wake after sleep onset, SBP systolic blood pressure, SE sleep efficiency, SL sleep latency, SD1/SD2 short-term variability/long-term variability.

Discussion

Aortic diseases, which mainly include aortic dilatation, aortic aneurysm and aortic dissection, have high morbidity and mortality¹⁴. Multiple genetic and environmental factors may be involved in these complex and multifactorial diseases, except for some well-established risk factors including older age, male sex, smoking, hyperlipidemia and hypertension, recent studies proposed a possible link between OSA and aortic diseases^15,16. The high prevalence of SDB among subjects with pulmonary hypertension is a clue to the possible influence of OSA on the remodeling of pulmonary artery. Also, observational studies have suggested strong associations between sleep disturbance and many cardiovascular diseases^17,18. In the current study, we found that nocturnal hypoxia is associated with the diameter of AA, sleep duration is associated with the diameter of DTA, while neither nocturnal hypoxia nor sleep disturbance parameters were associated with the diameter of MPA.

Previous studies investigating the association of OSA and aortic subclinical damage among the general population have showed a somewhat mixed body of evidence. Some studies reported ascending aortic diameter was significantly greater in OSA patients than in those controls, and the aortic root diameter was significantly correlated to parameters of OSA severity (either AHI or oxygen desaturation index). By contrast, two prospective and one retrospective study did not establish the afore mentioned relationships^19–21. Some previous studies have suggested that chronic intermittent hypoxia may induce vascular remodeling through multiple interconnected pathways. For example, oxidative stress mediated by NADPH oxidase and excessive reactive oxygen species production impairs endothelial nitric oxide bioavailability, while hypoxia-inducible factor-1α activation upregulates vascular endothelial growth factor and endothelin-1 expression, promoting vascular smooth muscle proliferation. Nuclear factor-κB-mediated inflammatory responses enhance endothelial adhesion molecule expression and pro-inflammatory cytokine release, facilitating leukocyte infiltration. Sympathetic nervous system hyperactivity contributes to hemodynamic stress, and matrix metalloproteinase activation disrupts extracellular matrix integrity through collagen-elastin imbalance. Experimental models demonstrate characteristic aortic remodeling featuring medial thickening with fragmented elastin fibers and collagen deposition. These mechanisms collectively drive vascular structural alterations through synergistic oxidative, inflammatory, and biomechanical disturbances¹⁹. The limited research data and the methodological differences in aortic measuring may contribute to the heterogeneity of the findings. Transthoracic echocardiography (TTE) and multidetector CT are the two most widely used tools to measure the dimensions of thoracic large vessels, however, CT scan measurements are considered to be more reliable because TTE is highly performer-dependent and unable to represent the vessel lesions fully. In the current study, we recruited a relatively large sample size of untreated patients with OSA and used chest CT to assess the dimension of the thoracic large arteries, we found that except age and DBP, SpO₂mean (B = − 0.176, P = 0.014) was negatively associated with the size of AA, which suggests that hypoxia may play an important role in vascular remodeling and enlargement of AA. It may add evidence to the view that nocturnal intermittent hypoxia can lead to varieties of hemodynamic and metabolic alterations, including hypertension, activated oxidative stress, endothelial dysfunction, and systemic inflammation²². Basic research has suggested that intermittent hypoxia and reoxygenation can activate reactive oxygen and hypoxia inducible factor-1, thus making a contribution to the pathogenesis of vascular damage²³. Proliferation and activation of macrophages were found in the aortic walls of mice exposed to intermittent hypoxia²⁴.

Sleep disturbance has become global health concerns. Poor sleep quality has significant adverse health outcomes. Sleep quality has four attributes: sleep efficiency, sleep latency, sleep duration, and wake after sleep onset²⁵. Most studies on sleep disturbance used questionnaires to measure the perceptions of sleep quality, depth, and restoration, such as perceived difficulties falling asleep and staying asleep, as well as sleep satisfaction. However, recent studies found that objective measurements are more accurate than the subjective perception to predict the risk of cardiovascular and/or cerebrovascular disease. Our study was innovative for evaluating the association between the PSG-derived objective sleep quality parameters, containing sleep duration, SE, SL and WASO, and thoracic large arteries dimensions. We found the diameter of DTA were greater in those exhibiting TST < 6 h and the DTA size was negatively associated with TST. Short sleep duration is usually defined as TST < 6 h. Previous studies have demonstrated that short sleep duration was closely related to the occurrence and development of obesity, hypertension, atherosclerosis and type 2 diabetes²⁶. Recent prospective studies have also reported that short sleep duration was independently associated with increased risks of CVD onset and death²⁷.

OSA and short sleep may increase the risk of cardiovascular events through some shared psychological and physiologic pathways. They are both associated with increased sympathetic activity and reduced parasympathetic activation during sleep, and have higher prevalence of unhealthy behaviors, such as higher energy intake and poor overall diet quality, which are associated with weight gain and obesity, and higher incidence of metabolic syndrome and type 2 diabetes^28,29. Habitual short sleep can also disrupt circadian rhythmicity and lead to circadian misalignment³⁰. Chronic inflammation may also play a part in affecting cardiovascular health in OSA and short sleep³¹. A study showed shorter sleep duration was associated with increased brachial artery diameter³². However, fewer studies investigated the association between short sleep and thoracic aortic size among patients with OSA. In this study, we found that different from the AA size, which was associated with the severity of OSA, the DTA size was more related with TST. Fifty to 65 percent of aortic intimal tears originate in the ascending aorta within the sinotubular junction and extend to involve the remaining portions of the thoracoabdominal aorta. Approximately 20 to 30 percent of intimal tears originate in the vicinity of the left subclavian artery and extend into the descending thoracic and thoracoabdominal aorta³³. The commonality of these two predominant locales for the development of the aortic tear is hypothesized to be related to higher shear forces (dP/dT) in these regions^34,35. The differences in the association of the severity of OSA and the size of AA or DTA may be due to the tracing of the aorta, especially the aortic arch, which may mitigate the surge of shear forces associated with the fluctuation of intrathoracic pressure companied with upper airway collapse. The legions of DTA may be more influenced by atherosclerosis. The heart rate variability attenuation, a marker of autonomic perturbations, which was calculated as the ratio of SD1 to SD2 (SD1/SD2) from PSG, was not significantly different between short sleepers and normal sleepers. Also, SD1/SD2 was not found to be associated with the size of DTA in the current study. Short sleep duration increases the risk of cardiovascular remodeling through the synergistic effect of multiple pathways and the specific physiological mechanisms remain to be further explored.

EDS is classically viewed as a consequence of insufficient sleep or a symptom of sleep disorders. Some epidemiological and clinical studies have shown that patients with EDS have greater cardiovascular risk than those without EDS³⁶. However, the results of our study showed that EDS was independent of all vascular dimensions, which was consistent with one previous study. The study has also demonstrated that EDS is not associated with larger aortic diameters³⁷. We also did not find the association between other objective measurements of sleep qualities, such as SL, SE, WASO, with the vascular dimensions. Current research on the associations of sleep disturbance and large vascular damage among patients with OSA is rare, which deserved further investigation.

Sleep apnea is well recognized as a cause of hypoxia and hypercarbia with the potential to increase pulmonary arterial pressure during sleep but also in the waking state. It is reported that pulmonary hypertension is present in 12–34% of obstructive sleep apnea³⁸. Conversely, 25% of patients with pulmonary hypertension by right heart catheterization turn out to have sleep apnea. Marta Marin-Oto used a pulmonary artery diameter of more than 29 mm in men and more than 27 mm in women or as a PA:Ao ratio of more than 0.9 to define pulmonary artery enlargement (PAE) and found that nocturnal hypoxemia was associated with PAE in smokers with or without COPD³⁹. Roberto Castellana studied 60 patients with OSA and found that time of oxygen saturation < 90% (T90) influenced MPA sizes¹². Paul Stark investigated the concurrence of sleep apnea and pulmonary hypertension in a Veteran population and no significant difference in pulmonary artery diameters had be found between the group without sleep apnea and the group with sleep apnea, which was in line with our study⁴⁰. Currently, “pure” OSA is considered to be responsible for a small increase in PAP whose clinical impact has not been demonstrated in general population and the relations of OSA or sleep disturbance with pulmonary artery remodeling have not been clarified.

Several limitations of our study should be mentioned. First, the current study was cross-sectional and could not show causal relations between variables. Second, the patients were from a single medical center without severe comorbidities, besides, the study did not include a control group of patients without OSA. Validation of our findings in a wider variety of populations is needed. Third, we used PSG to measure sleep duration and objective sleep quality parameters, however, continuous sleep tracking with actigraphy for more days may provide complementary information. Finally, calculating a TST threshold to predict the risk of cardiovascular remodeling may be more clinically informative, however, it is difficult to be done according to our current sample size.

Conclusions

Our study suggested nocturnal hypoxia and sleep duration were associated with the diameter of AA and DTA, respectively, while the above sleep parameters were not found to be associated with the diameter of MPA. It is suggested that sleep apnea and sleep disturbance may exert effects on the remodeling and enlargement of thoracic large vessels through distinctive mechanisms. As to the paucity of available data, larger prospective and well-designed studies are needed to shed light on this topic.

Abbreviations

AA

Ascending aorta

AHI

Apnea–hypopnea index

BMI

Body mass index

CT

Computed tomography

DTA

Descending thoracic aorta

EDS

Excessive daytime sleepiness

ESS

Epworth Sleepiness Scale

MPA

Main pulmonary artery

MS

Metabolic syndrome

T90

Time of oxygen saturation < 90%

TST

Total sleep time

ODI

Oxygen desaturation index

OSA

Obstructive sleep apnea

SpO₂mean

Nocturnal oxygen saturation

SpO₂min

Minimum nocturnal oxygen saturation

Author contributions

All authors made substantial contributions to conception and design, acquisition of data, and preparation of the manuscript. All authors have read and approved the final version of the manuscript, and agree with the order of presentation of the authors.

Data availability

The datasets of the current study cannot be made openly available to protect the medical information of participants. However, the corresponding author can provide the dataset on a reasonable request.

Declarations

Competing interests

The authors declare no competing interests.