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Beneficial effects of CPAP treatment on endothelial function in patients with mild to moderate obstructive sleep apnea

Seiko Miyata

Department of Sleep Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan

Akiko Noda

Department of Biomedical Sciences, Chubu University Graduate School of Life and Health Sciences, Kasugai, Japan

Yoshinari Yasuda

Department of CKD Initiatives, Nagoya University Graduate School of Medicine, Nagoya, Japan

Mari Sugiura Kojima

Department of Medical Technology, Nagoya University School of Health Sciences, Nagoya, Japan

Sayuri Tsukano

Department of Medical Technology, Nagoya University School of Health Sciences, Nagoya, Japan

Tae Sugiura

Department of Medical Technology, Nagoya University School of Health Sciences, Nagoya, Japan

Yasuo Koike

Department of Clinical Engineering, Chubu University Graduate School of Life and Health Sciences, Kasugai, Japan

Hironao Otake

Department of Sleep Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan

Department of Otorhinolaryngology, Nagoya University Graduate School of Medicine, Nagoya, Japan

DOI: 10.15761/CDM.1000143

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Abstract

Purpose: Obstructive sleep apnea (OSA) is associated with endothelial dysfunction, which may contribute to the onset of atherosclerosis and associated complications. Flow-mediated dilation (FMD) is routinely used as a noninvasive technique to evaluate endothelial function. The aim of the study was to investigate the impact of continuous positive airway pressure (CPAP) treatment on endothelial function in OSA.

Methods: A cohort of twenty-five patients with OSA (age 53.8 ± 11.8 years) and 17 age-matched controls (age 48.1 ± 15.1 years) were included in the study. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured using a plethysmography. FMD was evaluated using high-resolution ultrasound with a 7.5 MHz linear array transducer. The percentage FMD index was calculated as (maximum diameter – baseline diameter) / (baseline diameter) × 100. Maximum carotid intima-media thickness (max IMT) was also determined.

Results: Percentage FMD was significantly lower in OSA patients compared to controls (3.3 ± 1.9 vs. 5.0 ± 1.9, P=0.009) while SBP, DBP, and max IMT did not significantly differ between the two groups. In OSA patients showing good CPAP adherence (defined as CPAP usage ≥4 h/night and 70% of nights), the percentage FMD index improved from 1.67 to 3.11 in the absence of any significant decrease in SBP or DBP.

Conclusion: Although there was no difference in max IMT between OSA patients and control subjects, the percentage FMD was significantly decreased in OSA patients. More particularly, our results suggest that good adherence to CPAP treatment might reverse endothelial dysfunction in these patients.

Key words:

 obstructive sleep apnea, atherosclerosis, flow-mediated dilation, continuous positive airway pressure, carotid intima-media thickness

Introduction

Obstructive sleep apnea(OSA)is characterized by repetitive upper airway closure during sleep resulting in repeated reversible blood oxygen desaturation and fragmented sleep [1]. OSA has been increasingly linked with excess cardiovascular morbidity and mortality [2-4]. In previous studies, we showed that aortic pressure augmentation, an indicator of cardiovascular risk, was significantly increased in patients with OSA compared with healthy controls [5]. Our results were corroborated by reports showing that OSA directly affect vascular endothelial cells by inducing inflammation and oxidative stress [6]. Endothelial dysfunction was in turn found to precede or accelerate the development of atherosclerosis [7]. Nitric oxide metabolites was significantly reduced in OSA patients with an the apnea/hypopnea index (AHI) ≥ 20/h compared with those in healthy controls, which was correlated with OSA level of severity [8].

The first-line treatment for patients presenting OSA is continuous positive airway pressure (CPAP) therapy [9], which significantly ameliorates symptoms as well as its cardiovascular consequences [10-12]. We previously showed that successful CPAP treatment improved daytime baroreflex sensitivity and nitric oxide production in patients with moderate to severe OSA, hence CPAP may reduce the risk of cardiovascular complications due to endothelial dysfunction or increased sympathetic activity [8]. Nevertheless, adherence to CPAP in daily clinical practice may often be problematic. When adherence is greater than 4 hours of nightly use, 46 to 83% of OSA patients were reported to be nonadherent to the treatment [13]. Increasing daily use of CPAP lowers blood pressure [10] and reduces the risk of incident stroke [11] and cardiovascular death [12]. Vascular endothelial dysfunction and structural vascular changes have been implicated as early mechanisms in the pathophysiology of hypertension and other forms of vascular disease [14]. Using non-invasive imaging techniques for the determination of flow-mediated dilation (FMD) and carotid intima-media thickness (IMT) – which are commonly used as surrogate markers of atherosclerosis - may help with risk stratification [15-17].

The aim of this study was to investigate the impact of mild to moderate on FMD as well as the changes associated with CPAP treatment in OSA patients.

Methods

Patients 

A cohort of 25 patients clinically diagnosed with OSA (age 53.8 ± 11.8 years) and 17 age-matched healthy male controls (age 48.1 ± 15.1 years), as determined using out-of-center sleep test. Eight of the 25 patients (age 49.9 ± 4.1 years) were eligible for CPAP treatment and underwent therapy for more than four weeks (4.0 ± 2.7 months). The same patients were studied before and after CPAP therapy. CPAP usage was evaluated as the total number of hours of CPAP mask on divided by the total number of study days, which was downloaded with software. Good CPAP adherence was defined as the good CPAP users who used CPAP for ≥4 h/night for at least 70% of study nights [18]. This study was approved by the Ethics Committee of Nagoya University Graduate School of Medicine.

Polysomnography (PSG)

All patients diagnosed with OSA underwent standard polysomnography (Alice 3; Respironics, Murrysville, USA). The polysomnography consisted of continuous polygraphic recordings of electroencephalography (F3-A2, F4-A1, C3-A2, C4-A1, O1-A2, O2-A1), electrooculography, electromyography, electrocardiography, oronasal airflow with an oronasal thermistor and a pressure sensor, and thoracoabdominal motion with piezo sensors. Oxygen saturation (SpO2) was monitored by a pulse oximeter. Apnea was defined as a cessation of airflow through the mouth and nose lasting for ≥10 seconds, and a hypopnea was defined as a ≥50% reduction in airflow accompanied by either oxygen desaturation ≥3% or an arousal lasting for ≥10 seconds. AHI was determined as the number of apnea and hypopnea episodes per hour, and OSA was diagnosed when AHI was ≥5 episodes / hour and Epworth sleepiness scale score ≥11. The 3% oxygen desaturation per hour (oxygen desaturation index: ODI), lowest SpO2 and arousal index were evaluated in line with the guidelines of the American Academy of Sleep Medicine Manual for the Scoring of Sleep and Associated Events [19].

Brachial artery FMD

We followed the expert guideline to determine FMD defined by the percentage increase in the diastolic diameter of the brachial artery before and after forearm cuff inflation to induce ischemia in the ipsilateral hand (reactive hyperemia) [20]. A continuous three-lead ECG was recorded and used to identify the time to onset of diastole. A blood pressure cuff was placed on the right distal forearm. The right brachial artery images were obtained above the antecubital fossa using B-mode imaging in the longitudinal plane of the artery using a 7.5 MHz linear transducer (Prosoundα10, Hitachi-Aloka Medical, Mitaka, Japan). FMD was induced by inflating the forearm cuff to 50 mm Hg over systolic blood pressure (SBP) at rest. Rest blood pressure was measured using a plethysmography after 5 minutes of bed rest. The diameter of the brachial artery was assessed for 60 to 90 s after deflation of the cuff. Percent FMD was computed with (maximum diameter-baseline diameter) / baseline diameter ×100.

Carotid IMT

Carotid artery IMT was assessed by B-mode ultrasound scanning with a 7.5-MHz linear phase array transducer (Prosoundα10, Hitachi-Aloka Medical, Mitaka, Japan). Both the left and right common carotid arteries were imaged at the level of the carotid bifurcation, using longitudinal B-mode ultrasonography. Maximum IMT (max IMT) was defined as the single thickest wall among near and far wall on both sides of the common carotid arteries, carotid sinus, and internal carotid artery [21].

Statistical analysis

Data were represented as mean ± standard deviation (SD). Normal distribution was assessed using Shapiro-Wilk test. Non-paired Student’s t-test was applied to body mass index (BMI), SBP, diastolic blood pressure (DBP), and %FMD. Mann-Whitney’s U test was used for max IMT to compare the differences between OSA patients and controls. The correlation between the various indices was investigated by Pearson and Spearman correlation analysis, and in OSA patients, the relationships between %FMD and AHI, DSI, lowest SpO2, and arousal index were evaluated using Pearson correlation analysis. Wilcoxon signed-rank test was used for comparison of %FMD, SBP, and DBP before and after CPAP therapy. All statistical tests were two-sided, and a p-value <0.05 was considered statistically significant. Data were analyzed with SPSS statistic package version 22.0 (IBM, Armonk, New York, USA).

Results

FMD percentage (%FMD) was significantly lower in OSA patients compared to control subjects (3.3 ± 1.9 vs. 5.0 ± 1.9, P=0.006). On the other hand, max IMT was not significantly different between the two groups. Similarly, no significant difference was found in relation to BMI, SBP, and DBP (Table 1). There were no significant correlation between %FMD and age, BMI, SBP, DBP, or max IMT. In patients presenting OSA, %FMD did not show any significant correlations with AHI, DSI, lowest SpO2, and arousal index.

Table 1. Patient characteristics

 

OSA patients

Control subjects

P value

n

25

17

-

Age, yrs

53.8 ± 11.8

48.1 ± 15.1

0.184

Male, n (%)

24 (96)

13 (76)

0.077

BMI, kg/m²

29.0 ± 4.7

25.1 ± 7.5

0.052

SBP, mmHg

133.5 ± 15.5

135.0 ± 16.1

0.779

DBP, mmHg

83.2 ± 12.3

82.8 ± 14.4

0.931

%FMD

3.3 ± 1.9

5.0 ± 1.9

0.009

Max IMT (mm)

1.2 ± 0.4

1.1 ± 0.5

0.126

BMI: body mass index; DBP: diastolic blood pressure; FMD: flow mediated dilation; IMT: intima-media thickness;

OSA: obstructive sleep apnea; SBP: systolic blood pressure.

In all the patients who underwent CPAP therapy, FMD, SBP, and DBP did not significantly differ. However, in the four patients who showed good CPAP adherence, %FMD tended to increase from 1.67 (range: 0.53-3.56) to 3.11 (range: 0.83-5.08, P=0.068) in the absence of a decrease in SBP or DBP. In the four patients who admitted poor CPAP adherence, %FMD after CPAP therapy tended to be worse from 5.17 (range: 4.06-7.46) to 3.16 (range: 0.23-6.79, P=0.068) (Table 2).

Table 2. Comparison between %FMD before and after CPAP therapy

AHI before

CPAP, /h

SBP, mmHg

DBP, mmHg

%FMD

Before CPAP

On CPAP

Before CPAP

On CPAP

Before CPAP

On CPAP

Total CPAP users

55.0 ± 23.4

131.0 ± 15.4

135.3 ± 14.0

83.6 ± 8.4

88.8 ± 7.7

3.42 ± 2.30

3.13 ± 2.28

P=0.233

P=0.079

P=1.0

Good CPAP users

Case 1 

69.2

162

158

92

87

1.30

2.07

Case 2 

33.7

120

132

73

89

3.56

5.02

Case 3 

77.3

122

121

78

77

1.27

4.51

Case 4 

64.7

130

147

86

89

0.53

0.83

Mean

61.2 ± 19.1

133.5 ± 19.5

139.5 ± 16.3

82.3 ± 8.4

85.5 ± 5.7

1.67 ± 1.31

3.11 ± 1.99

P=0.465

P=0.715

P=0.068

Poor CPAP users

Case 5 

56.3

117

123

82

85

4.76

0.23

Case 6 

85.8

133

121

80

93

7.46

6.79

Case 7 

25.9

144

147

99

104

4.06

3.92

Case 8 

26.8

120

133

79

86

4.40

1.70

Mean

48.7 ± 28.5

128.5 ± 12.4

131.0 ± 11.9

85.0 ± 9.4

92.0 ± 8.8

5.17 ± 1.55

3.16 ± 2.86

P=0.465

P=0.068

P=0.068

AHI: apnea/hypopnea index; CPAP: continuous positive airway pressure; DBP: diastolic blood pressure; FMD: flow mediated dilation; SBP: systolic blood pressure.

Discussion

In the present study, we showed that %FMD was lower in OSA patients compared to control subjects, while SBP, DBP and max IMT failed to show any significant differences between the two groups. In patients showing good CPAP adherence, improved %FMD values were observed. These results suggest that good CPAP adherence may be help address endothelial dysfunction, a commonly observed feature of patients presenting OSA.

2021 Copyright OAT. All rights reserv

Repeated hypoxia during sleep in patients with OSA may induce systemic inflammation and oxidative stress [22, 23] and as a result, contribute to the development of endothelial dysfunction [17]. Endothelial dysfunction promotes the development and clinical manifestation of atherosclerosis. FMD has been routinely used as a noninvasive approach to evaluate endothelial function. Previous authors reported that, in patients with OSA, the decrease in FMD correlated with the degree of endothelial cell apoptosis and, CPAP therapy led to a significant decline in levels of circulating apoptotic endothelial cells [24]. In our study, patients with OSA showed a significant decrease in %FMD compared to control subjects. On the other hand, max IMT values were determined not to be significantly different between the two groups. We thus demonstrated that endothelial function was impaired in patients with OSA. 

CPAP therapy has a variety of beneficial effects on the cardiovascular system, such as decrease in blood pressure and nitric oxide [25]. A six month-course CPAP therapy significantly increased %FMD in normotensive OSA patients who had a good CPAP adherence while the levels failed to change in non-CPAP users, who did not tolerate using the device [26]. Our study also demonstrated that %FMD was increased in patients with good CPAP adherence, meanwhile, it was decreased in patients with poor CPAP adherence. Previous studies showed that the 5-year cumulative survival rate improved as CPAP adherence increased, and the association between CPAP adherence and mortality was independent of other covariates including age and hypertension amongst the 871 patients diagnosed with OSA [27]. The same authors suggested that the undue stress on cardiovascular system would disappear in patients with OSA if they underwent adequate CPAP therapy i.e., ≥4 h/night and 70% of nights.

Higher carotid IMT has been associated with higher risk of cardiovascular disease [28]. There was no significant difference in IMT between OSA patients and controls, and IMT did not show significant correlation to %FMD in this study. Recent study reported that carotid IMT in patients with OSA was significantly higher than those in obese controls [29]. IMT was significantly higher in patients with severe OSA compared to patients with mild to moderate OSA or controls. Interestingly, no significant difference was determined between control subjects and patients with mild to moderate OSA [30]. In middle-aged healthy men, there was no significant correlation between carotid IMT and brachial artery FMD, suggesting that these two markers may be associated with different stages of atherogenesis [31]. Further investigations are required to confirm the association between OSA and IMT as risk factors for cardiovascular disease.

In conclusion, percent FMD was determined to be significantly lower in OSA patients, although no significant differences were found in SBP, DBP and max IMT between OSA patients and control subjects. Percent FMD was improved when patients adhere to a CPAP treatment course of at least 4 weeks. Our findings suggest that endothelial function was impaired in patients presenting OSA and that this impairment may be reversed upon adequate CPAP treatment.

Acknowledgement

This study was partly supported by Grants-in-Aid for Scientific Research (KAKENHI) 16K16600.

Conflict of interest

No

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Editorial Information

Editor-in-Chief

Richard Kones
Cardiometabolic Research Institute

Article Type

Research Article

Publication history

Received: April 10, 2017
Accepted: May 16, 2017
Published: May 19, 2017

Copyright

©2017 Miyata S. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation

Miyata S, Noda A, Yasuda Y, Kojima MS, Tsukano S, et al. (2017) Beneficial effects of CPAP treatment on endothelial function in patients with mild to moderate obstructive sleep apnea. Cardiovasc Disord Med 2: DOI: 10.15761/CDM.1000143

Corresponding author

Akiko Noda

Akiko Noda, PhD, Department of Biomedical Sciences, Chubu University, Graduate School of Life and Health Sciences, 1200 Matsumoto-cho, Kasugai-shi, Aichi, 487-8501, Japan,

Table 1. Patient characteristics

OSA patients

Control subjects

P value

n

25

17

-

Age, yrs

53.8 ± 11.8

48.1 ± 15.1

0.184

Male, n (%)

24 (96)

13 (76)

0.077

BMI, kg/m²

29.0 ± 4.7

25.1 ± 7.5

0.052

SBP, mmHg

133.5 ± 15.5

135.0 ± 16.1

0.779

DBP, mmHg

83.2 ± 12.3

82.8 ± 14.4

0.931

%FMD

3.3 ± 1.9

5.0 ± 1.9

0.009

Max IMT (mm)

1.2 ± 0.4

1.1 ± 0.5

0.126

BMI: body mass index; DBP: diastolic blood pressure; FMD: flow mediated dilation; IMT: intima-media thickness;

OSA: obstructive sleep apnea; SBP: systolic blood pressure.

Table 2. Comparison between %FMD before and after CPAP therapy

AHI before

CPAP, /h

SBP, mmHg

DBP, mmHg

%FMD

Before CPAP

On CPAP

Before CPAP

On CPAP

Before CPAP

On CPAP

Total CPAP users

55.0 ± 23.4

131.0 ± 15.4

135.3 ± 14.0

83.6 ± 8.4

88.8 ± 7.7

3.42 ± 2.30

3.13 ± 2.28

P=0.233

P=0.079

P=1.0

Good CPAP users

Case 1 

69.2

162

158

92

87

1.30

2.07

Case 2 

33.7

120

132

73

89

3.56

5.02

Case 3 

77.3

122

121

78

77

1.27

4.51

Case 4 

64.7

130

147

86

89

0.53

0.83

Mean

61.2 ± 19.1

133.5 ± 19.5

139.5 ± 16.3

82.3 ± 8.4

85.5 ± 5.7

1.67 ± 1.31

3.11 ± 1.99

P=0.465

P=0.715

P=0.068

Poor CPAP users

Case 5 

56.3

117

123

82

85

4.76

0.23

Case 6 

85.8

133

121

80

93

7.46

6.79

Case 7 

25.9

144

147

99

104

4.06

3.92

Case 8 

26.8

120

133

79

86

4.40

1.70

Mean

48.7 ± 28.5

128.5 ± 12.4

131.0 ± 11.9

85.0 ± 9.4

92.0 ± 8.8

5.17 ± 1.55

3.16 ± 2.86

P=0.465

P=0.068

P=0.068

AHI: apnea/hypopnea index; CPAP: continuous positive airway pressure; DBP: diastolic blood pressure; FMD: flow mediated dilation; SBP: systolic blood pressure.