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Haifeng Hou, Yange Zhao, Wenqing Yu, Hualei Dong, Xiaotong Xue, Jian Ding, Weijia Xing, and Wei Wang

Abstract

Background

Obstructive sleep apnea (OSA) is a sleep disorder characterized as complete or partial upper airflow cessation during sleep. Although it has been widely accepted that OSA is a risk factor for the development of hypertension, the studies focusing on this topic revealed inconsistent results. We aimed to clarify the association between OSA and hypertension, including essential and medication-resistant hypertension.

Methods

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was followed. PubMed and Embase databases were used for searching the relevant studies published up to December 31, 2016. A quantitative approach of meta-analysis was performed to estimate the pooled odds ratio (OR) and 95% confidence interval (CI).

Results

Twenty-six studies with 51 623 participants (28 314 men, 23 309 women; mean age 51.8 years) met inclusion criteria and were included in this study. Among them, six studies showed a significant association between OSA and resistant hypertension (pooled OR = 2.842, 95% CI = 1.703-3.980, P < 0.05). Meanwhile, the combination of 20 original studies on the association of OSA with essential hypertension also presented significant results with the pooled ORs of 1.184 (95% CI = 1.093-1.274, P < 0.05) for mild OSA, 1.316 (95% CI = 1.197-1.433, P < 0.05) for moderate OSA and 1.561 (95% CI = 1.287-1.835, P < 0.05) for severe OSA.

Conclusions

Our findings indicated that OSA is related to an increased risk of resistant hypertension. Mild, moderate and severe OSA are associated essential hypertension, as well a dose-response manner relationship is manifested. The associations are relatively stronger among Caucasians and male OSA patients.


Obstructive sleep apnea (OSA) is a sleep disorder characterized as complete or partial upper airflow cessation during sleep, which mainly results from narrowed oropharyngeal or velopharyngeal anatomy [1,2]. OSA is reported to affect approximately 17% of American adults [3]. Hereditable dimension of craniofacial skeleton, obesity, and aging are considered risk factors for OSA, and the lack of neurophysiological regulation on airway dilator muscles also contributes to the causality of OSA [4]. Apart from causing uncomfortable symptomatology, untreated OSA is widely acknowledged to be associated with diabetes, cardiovascular disease and cerebrovascular disease [5]. Observational studies have illustrated that the prevalence of OSA is over 30% among hypertension patients and nearly 80% among resistant hypertensive patients [6,7]. Although the association between OSA and hypertension is considered obvious, the published results regarding this relationship are not consistent [3]. More than eight studies reported that OSA is not associated with hypertension, arousing skepticism of the effect of OSA on the risk for hypertension [2,8]. To our knowledge, the effect of continuous positive airway pressure (CPAP) therapy on blood pressure (BP) reduction improves the establishment of the causal association of OSA with hypertension and cardiovascular diseases [8]. However, a recent meta-analysis demonstrated that CPAP intervention does not reduce cardiovascular risk [9]. Besides another meta-analysis on CPAP treatment trials found a low reduction of HP (2.6 mm Hg for systolic BP and 2.0 mm Hg for diastolic BP) among OSA participants [10]. It has been manifested that CPAP may not be a sole hypertension intervention option for OSA patients [11]. To determine if OSA plays an independent causal role in hypertension, we conducted this systematic review and meta-analysis, and synthesized the studies on the association of OSA with essential hypertension and medication-resistant hypertension.

MATERIALS AND METHODS

We followed the criteria of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The reported PRISMA Checklist is provided in Table S1 in Online Supplementary Document. The protocol of this study has been registered in PROSPERO (No. CRD42017064336), available at https://www.crd.york.ac.uk/PROSPERO/.

Search strategy

The databases of PubMed and Embase were searched for literature published up to December 31, 2016. The search strategy was designed as a combination of the following key words: “obstructive sleep apnea” or “obstructive sleep apnea syndrome” or “sleep apnea” or “sleep disordered breathing” or “OSA” or “OSAS” or “SDB” and “hypertension” or “HTN”. In addition, studies cited in the references at the retrieved articles were further screened.

Selection criteria and quality assessment

Two authors independently reviewed the title, abstract and full text of the publications to determine the suitability for inclusion. Eligible studies were included based on the following criteria: 1) studies conducted on human populations; 2) studies conducted to investigate the relationships between OSA and essential and/or resistant hypertension; 3) case-control studies, case-control comparison of baseline data in cohort populations or clinical populations, and cohort studies; 4) odds ratios (OR) and 95% confidence interval (CI) available or can be calculated; 5) OSA patients diagnosed with polysomnography, and classified with apnea-hypopnea index (AHI); 6) studies published in English. We evaluated the methodological quality of each study according to the quality assessment scale by reference to PRISMA statement and MOOSE guideline (Table S2 and Table S3 in Online Supplementary Document).

Data extraction

Original data were retrieved independently from the eligible publications by two authors. The following data were extracted: author’s name, year of publication, ethnicity of participants, type of study design, sample size, characteristics of the participants. If results derived from the same population were published more than once, the most recent publication or the one with the largest population size was enrolled. If a publication investigated the baseline data, and also studied the association of recent-onset hypertension with OSA among different numbers of participants through a follow-up, the investigations were treated as two independent studies. Data in all subgroups were collected when the authors reported results with age or gender stratification. The adjusted ORs were extracted from articles.

Statistical analysis

All statistical analyses were performed with the Stata14.0 software (Stata Corp, College Station, TX, USA). The pooled ORs and 95% CIs were calculated to assess the strength of the association between OSA and hypertension. Q test and I2 statistic were used to evaluate heterogeneity across the involved studies. When I2<50% and P > 0.10, the fixed effect model was used to combine data sets. Otherwise, the random effect model was applied. Moreover, we conducted subgroup meta-analysis based on ethnicity of the population when heterogeneity was ultra (I2>50% or P < 0.10). To assess the robustness of the combined results and evaluate the effect of individual studies on this meta-analysis, we carried out sensitivity analysis by removing each study one at a time. Subsequently, the publication bias was assessed by the Funnel Plots analysis, and Egger’s regression asymmetry test was further complemented. The Trim and Fill method was used to adjust the significant publication bias.

RESULTS

Eligible studies

Our initial screen returned 15 031 publications in English, of which 4314 were from Pubmed and 10 717 were from Embase. YZ and WY independently excluded 13 846 ineligible articles through reviewing the titles, leaving 1185 articles for further abstract review. Among them, 26 publications with 51 623 participants (28 314 men, 23 309 women; mean age 51.8 years) met all the inclusion criteria and were enrolled in meta-analysis [1,2,8,12-34]. Among those 1 159 publications excluded at the last round: 365 were duplicate articles, 311 studies did not refer to OSA or hypertension according to the current definitions, 167 were not original studies, 42 studies were not designed as required method, 73 studies did not have appropriate diagnostic criteria for OSA patients, 38 studies investigated other types of hypertension, and 163 were not human-based research. The flowchart for the process of screening articles is shown in Figure 1 . Among all the enrolled publications, 21 articles reported case-control comparison in cross-sectional studies or baseline data of cohort studies [1,2,12-18,20,22-32], Four were prospective studies [19,21,33,34], and one article reported both a baseline data comparison and a prospective study [8]. In terms of the study topics, six studies investigated the relationship between OSA and resistant hypertension [1,12-16], and 20 studies investigated the association of OSA with essential hypertension [2,8,17-34]. Individual characteristics of overall studies are summarized in Table 1 and Table S4 in Online Supplementary Document.

Figure 1.  Flowchart of the study selection.
jogh-08-010405-F1


Table 1.  Characteristics of included studies
Author Year Type of HTN Country Case Mean age Matched Control Gender Duration of Follow-up
Walia [1] 2014 R-HTN United States Hospital-based OSA Case:63.4 ± 6.9 NO Case:81/28 NA*
Con:62.5 ± 7.4 Con: 126/49
Wu [12] 2016 R-HTN China Hospital-based OSA 54.3 ± 3.0 NO Case:365/87 NA†
Con: 166/50
Abdel-Kader [13] 2012 R-HTN United States Community-based R-HTN 60.0 ± 7.2 NO 113/111 NA*
Drager [14] 2009 R-HTN Brazil Hospital-based OSA Case:51 ± 10 NO Case:30/25 NA†
Con:40 ± 10 Con: 22/22
Gonçalves [15] 2007 R-HTN Brazil Hospital-based R-HTN Case:59 ± 7 NO Case:21/42 NA†
Con: 59 ± 7 Con: 23/40
Ruttanaumpawan [16] 2009 R-HTN Canada Hospital-based R-HTN Case:60.1 ± 1.8 YES Case:12/10 NA†
Con: 56.5 ± 1.6 Con: 26/16
Nieto [2] 2003 E-HTN United States Community-based OSA >40 NO 2894/3238 NA*
Bartel [17] 1995 E-HTN South Africa Hospital-based E-HTN Case:50.6 ± 8.0 YES Case:4/16 NA†
Con:49.6 ± 8.7 Con: 4/16
Crocker [18] 1989 E-HTN Australia Hospital-based OSA 51.5 ± 14 NO Case:96/4 NA†
Con: 78/22
Peppard [19] 2000 E-HTN Australia Hospital-based OSA 51 ± 8 NO 504/389 4 years
Durán [20] 2001 E-HTN Spain Community-based OSA Case: M:52.0 ± 9.9, F:55.5 ± 11.3 NO Case:255/135 NA†
Con: M:47.4 ± 10.8, F:46.9 ± 0.5 Con: 69/96
Guillot [21] 2013 E-HTN France Community-based OSA Case:68.0 ± 1.1 NO Case:34/39 3 years
Con: 68.1 ± 0.9 Con:105/194
Haas [22] 2005 E-HTN United States Community-based OSA age 40 to 59 52.2 ± 5.3 NO 1132/1345 NA*
Haas [22] 2005 E-HTN United States Community-based OSA>60 years 70.2 ± 6.9 NO 1752/1891 NA*
Appleton [8] (study-a) 2016 E-HTN Australia Community-based OSA 58.0 ± 10.7 NO 448/0 NA†
Appleton [8] (study-b) 2016 E-HTN Australia Community-based OSA NO 110/0 56 months
Kapur [23] 2010 E-HTN United States Community-based E-HTN 62.6 ± 10.3 NO 2853/3192 NA*
Li [24] 2015 E-HTN China Hospital-based OSA with chronic insomnia 43.0 ± 12.1 NO 409/451 NA†
Mokhlesi [25] 2014 E-HTN United States Community-based HTN 53 ± 10 NO 4203/182 NA*
Priou [26] 2014 E-HTN France Community-based OSA 54.3 ± 13.5 NO 955/544 NA†
Redline [27] 2014 E-HTN United States Community-based OSA M:40.3 ± 0.3, F:41.8 ± 0.3 NO 5747/8693 NA*
Smith [28] 2014 E-HTN Canada Community-based OSA M:46.7 ± 0.4, F:50.5 ± 0.9 YES Case:599/174 NA†
Con:599/174
Xie [29] 2011 E-HTN United States OSA from drivers Case:46.73 ± 9.82 NO Case:108/0 NA†
Con:43.63 ± 11.68 Con: 1655/0
Young [30] 1997 E-HTN United States Community-based OSA 30-60 NO 617/443 NA*
Yusoff [31] 2010 E-HTN Malaysia OSA from drivers Case:45.4 ± 7.0 NO Case:128/0 NA†
Con:42.5 ± 7.6 Con: 161/0
Zou [32] 2012 E-HTN United States E-Community-based HTN Case:63 ± 6 NO Case:76/85 NA*
Con: 60 ± 7 Con: 97/86
O’Connor [33] 2009 E-HTN United States Community-based OSA 59.6 ± 10.3 NO 1103/1367 5 years
Chan [34] 2016 E-HTN Singapore Hospital-based OSA Case:57.1 ± 9.7 NO 534/53 2.5 years
Con:57.0 ± 9.6

R-HTN – Resistant hypertension, E-HTN – Essential hypertension, OSA – obstructive sleep apnea, Con – control group

*Baseline data in cohorts.

†Cross-sectional designed case-control study.



Association between OSA and resistant hypertension

We included six studies that explored the relationship between OSA and resistant hypertension [1,12-16], with five studies conducted among Caucasians and one study was among Asians. The synthesized results showed that OSA was significantly associated with resistant hypertension with a pooled OR of 2.842 (95% CI = 1.703-3.980, P < 0.05) ( Figure 2 and Table 2 ), which indicated that OSA participants had an extra 1.842-fold risk for resistant hypertension prevalence compared to non-OSA participants. Subgroup analysis exposited that this association was more outstanding among Caucasian populations (OR = 4.406, 95% CI = 1.835-6.977).

Figure 2.  Forest plot of the association between resistant hypertension and obstructive sleep apnea (OSA).
jogh-08-010405-F2


Table 2.  Meta-analysis of association between OSA and hypertension
Type of HTN Category of OSA Subgroup Effect size Heterogeneity test
Pooled OR 95% CI P I2 (%) Q P
Resistant HTN OSA/non-OSA Asian 2.460 1.500-4.040 <0.05 - - -
OSA/non-OSA Caucasian 4.406 1.835-6.977 <0.05 0 0.47 0.977
OSA/non-OSA Overall 2.842 1.703-3.980 <0.05 0 2.23 0.816
Essential HTN Mild OSA Prospective 1.038 0.808-1.267 >0.05 64.8 5.69 0.058
Mild OSA Non-prospective 1.210 1.112-1.309 <0.05 0 3.60 0.825
Mild OSA Overall 1.184 1.093-1.274 <0.05 10.1 11.13 0.348
Moderate OSA Caucasian 1.315 1.197-1.433 <0.05 8.0 16.30 0.362
Moderate OSA Prospective 1.224 0.917-1.530 >0.05 12.6 3.43 0.329
Moderate OSA Non-prospective 1.332 1.204-1.456 <0.05 5.4 12.69 0.392
Moderate OSA Overall 1.316 1.198-1.434 <0.05 3.2 16.53 0.416
Severe OSA Caucasian 1.549 1.275-1.824 <0.05 0 7.49 0.586
Severe OSA Prospective 1.505 0.998-2.013 >0.05 0 1.00 0.608
Severe OSA Non-prospective 1.584 1.258-1.909 <0.05 10.2 7.80 0.351
Severe OSA Overall 1.561 1.287-1.835 <0.05 0 8.86 0.546
Essential HTN OSA/non-OSA* Asian 1.583 1.160-2.007 <0.05 0 0.32 0.850
OSA/non-OSA* Caucasian 1.928 1.600-2.256 <0.05 47.0 7.55 0.110
OSA/non-OSA* Prospective 1.475 1.035-1.914 <0.05 0 0.02 0.881
OSA/non-OSA* Non-prospective 1.972 1.651-2.294 <0.05 19.8 6.23 0.284
OSA/non-OSA* Overall 1.799 1.539-2.058 <0.05 26.0 9.46 0.221

HTN – hypertension, OSA – obstructive sleep apnea, OR – odds ratio; CI – confidence interval

*Meta-analysis of six studies only divided subjects into OSA and non-OSA groups.



The heterogeneity test showed no significant heterogeneity generated across all primary studies (I2 = 0%, Q = 2.23, P = 0.816).

Association between OSA and essential hypertension

Twenty studies investigated the relationship between OSA and essential hypertension [2,8,17-34]. Among them, 16 studies classified OSA patients into three grades based on AHI their scores, which were mild OSA (AHI>5), moderate OSA (AHI>15) and severe OSA (AHI>30). Since natural differences exists between mild OSA, moderate OSA and severe OSA, results were interpreted separately. As shown in Table 2 and Figures 3 to 5 Figure 4Figure 5, essential hypertension was significantly associated with OSA, in terms of mild OSA (OR = 1.184, 95% CI = 1.093-1.274, P < 0.05), moderate OSA (OR = 1.316, 95% CI = 1.198-1.434, P < 0.05), and severe OSA (OR = 1.561, 95% CI = 1.287-1.835, P < 0.05). These results showed the trend of that the more serious OSA is, the higher hypertension risk occurs. Subgroup analyses were conducted based on study design (prospective/non-prospective) and ethnicity. As shown in Table 2 , no significant results were found in studies with prospective study design, which outlined the pooled ORs (95% CIs) of 1.038 (0.808-1.267) for mild OSA, 1.224 (0.917-1.530) for moderate OSA, and 1.505 (0.998 – 2.013) for severe OSA. The heterogeneity test illustrated that I2 values were 10.1% (P = 0.348) in mild OSA, 3.2% (P = 0.416) in moderate OSA, and 0% (P = 0.546) in severe OSA meta-analyses, indicating no significant heterogeneity in each group.

Figure 3.  Forest plots of the association between essential hypertension and mild obstructive sleep apnea (OSA).
jogh-08-010405-F3


Figure 4.  Forest plots of the association between essential hypertension and moderate obstructive sleep apnea (OSA).
jogh-08-010405-F4


Figure 5.  Forest plots of the association between essential hypertension and severe obstructive sleep apnea OSA).
jogh-08-010405-F5


For the seven studies dividing participants only into OSA and non-OSA groups [8,24,26,28,29,31,34], the pooled OR was 1.799 (95% CI = 1.539-2.058, P < 0.05), demonstrating that OSA was associated with essential hypertension (Figure S1 and Table S2 in Online Supplementary Document). The subgroup analysis based on ethnicity showed significant results among Asians (OR = 1.583, 95% CI = 1.160-2.007) and Caucasians (OR = 1.928, 95% CI = 1.600-2.256). Additionally, no significant heterogeneity was found (I2 = 26.0%, P = 0.221). Four studies in the three articles reported the relationship between OSA and essential hypertension among male participants [2,8,33]. The combined result of these four studies suggested that the association between OSA and essential hypertension was relatively stronger among males (OR = 1.698, 95% CI = 1.319-2.077).

Publication bias

The funnel plot analysis, followed by Egger’s test, was applied to detect the potential publication bias. Significant publication bias existed in the meta-analyses of moderate OSA and severe OSA participants, and the meta-analysis of resistant hypertension ( Table 3 and Figures S7-S11 in Online Supplementary Document). The Trim and Fill analysis was performed to eliminate the effect of publication bias on meta-analysis. As shown in Table 3 and Figures S12-S14 in Online Supplementary Document, the pooled ORs (95% CIs) were 1.327 (1.222-1.441) for moderate OSA and 1.593 (1.369-1.853) for severe OSA meta-analyses, and 1.575 (1.117-2.221) for resistant hypertension.

Table 3.  Analysis on publication bias and results of Trim and Fill method analysis
Type of HTN Category of OSA Egger’s test Trim and fill method analysis
t P Pooled OR 95% CI P
Resistant HTN OSA/non-OSA 2.36 0.078 1.575 1.117-2.221 0.010
Essential HTN Mild OSA 0.92 0.380 1.187 1.103-1.276 <0.001
Essential HTN Moderate OSA 3.91 0.001 1.327 1.222-1.441 <0.001
Essential HTN Severe OSA 1.98 0.079 1.593 1.369-1.853 <0.001
Essential HTN OSA/non-OSA 0.87 0.420 1.356 1.184-1.554 <0.001

HTN – hypertension, OSA – obstructive sleep apnea, OR – odds ratio, CI – confidence interval



Sensitivity analysis

To evaluate the robustness of the results, sensitivity analyses were undertaken by sequentially removing each study. Consequently, no obvious change was generated on omission of any individual study (Figure S2-S6 in Online Supplementary Document), confirming that the results of our meta-analyses were stable. This coincided with the results of heterogeneity tests.

DISCUSSION

This systematic review and meta-analysis was conducted in an effort to clarify the association between OSA and hypertension, including both essential and resistant hypertension. Our findings suggest that OSA confers a significant association with both essential and resistant hypertension. Moreover, OSA is associated with mild OSA, moderate OSA and severe OSA with a stepwise increased degree.

OSA are acknowledged to be associated with hypertension [6,7]. Nevertheless, the potential mechanisms underlying the associations have not been well elucidated. Several potential explanations may help us to understand the association of OSA and hypertension. OSA induces intermittent hypoxemia, similarly to hypoxia/reperfusion injury, and causes oxidative stress, leading to dysfunction of vascular endothelium [35]. Meanwhile, excessive outflow of sympathetic vasoconstrictor together with diminished nitric oxide bioavailability plays a role in blood pressure elevation [36,37]. In addition, episodes of OSA up-regulate sympathetic excitation which acts on the chemoreflex and may consequently result in hypertension [10,38]. In clinical observations, sympathetic nervous activity, reflected by 24-hour urinary catecholamine excretion, is increased in individuals with sleep-disordered breathing [39]. The data from relevant surveys revealed that the prevalence rate of OSA is 70-83% in resistant hypertensive patients [40]. It is also suggested that untreated OSA may lead to reduced effectiveness of medications through pharmacokinetic or chronotherapeutic effects, activating a pathway of resistance to antihypertensive drugs [1]. In the present study, we found that OSA strongly predisposes to resistant hypertension by combining six relevant studies. The pooled OR of the causal association in Caucasians is 4.406, which indicates Caucasians with OSA suffer more from uncontrolled hypertension.

OSA is also considered to be associated with essential hypertension and the consequences of cardiovascular diseases. However, the results are not entirely consistent, meanwhile more than eight studies have generated non-significant results [2,8,13,17,20,22-23,33]. This meta-analysis, involving 20 original studies in 19 articles, demonstrates that OSA increases the risk of essential hypertension in a dose-response manner. Although the dose-response meta-analysis has not been conducted owing to the lack of current available data, the trend of pooled ORs shows obviously that the more serious OSA is, the higher hypertension risk occurs.

Gender is indispensable factor in the analysis of demographic data. Nonetheless, seldom studies reported the association between OSA and hypertension in specific gender. O’Connor et al. reported that female patients with moderate and severe OSA have higher prevalence of essential hypertension than male [33], while, Nieto et al reported a lower OR in severe OSA women before [2]. After combining four studies reported in three articles [8,29,31], our finding enlightens that men suffer from higher incidence of essential hypertension than women, as well the association in Caucasians is greater than that in Asians. These differences may be explained by the larger proportion of overweight and obesity among Caucasians and also among men [18]. This finding is consistent with a recent study by Cano-Pumarega et al., despite the fact that their study did not diagnose OSA with polysomnography and AHI [41]. Regarding ethnic sub-group analysis, the different results may subject to genetic backgrounds, environmental factors and genetic-environmental interaction [42,43].

Heterogeneity may result from diversity of clinical study design or statistical methodology, and the detection of heterogeneity is essential for meta-analysis. No significant heterogeneity was found in the present study, indicating high compatibility of our results. Care must be taken in the adjustment of potential confounding factors in the statistical analysis of clinical studies. Obviously, obesity and age are both contributing factors to OSA and hypertension. Although investigators suggested that the impact of body mass index (BMI) on OSA is quite modest and adjustment for BMI might be an over-adjustment [2,32], we have synthesized the OR adjusted for both age and BMI in order to estimate the risk more precisely.

Publication bias, a critical issue in systematic review, mainly results from the tendency that studies with positive results are more likely to be published than those with negative findings. Significant publication bias exists in our meta-analyses of moderate OSA, severe OSA and essential hypertension. To reduce potential confounding of publication bias, we carried out the Trim and Fill analysis. According to the results of Trim and Fill analysis, the pooled ORs remained statistically significant for the association between moderate OSA and essential hypertension, the association between severe OSA and essential hypertension, as well as the association between OSA and resistant hypertension.

Comparing to low specificity of sleep questionnaires, AHI is an accurate parameter for determining OSA [14], which is defined as the number of episodes of apneas or hypopneas in 1 hour of sleep, recorded with polysomnography test [2]. One of inclusion criteria in this study is the usage of AHI as OSA diagnostic index, this obviously limits the number of studies to be included.

This study has certain limitations that are common in systematic reviews meta-analyses of descriptive studies: First, most of the original studies were based on cross-sectional designed investigation, which may limit the argumentation intensity of our conclusion. Second, the subgroup analyses based on age were not performed because of no primary data available from the included studies. Only 5 prospective studies [8,19,21,33,34] meeting the inclusion criteria were included, and the pooled results of the studies showed no statistical significance of association between OSA and hypertension. However, the number of included studies/patients is small. More prospective studies need to be conducted to clarify the relationship between OSA and hypertension.

The present study demonstrates that OSA is related to an increased risk of resistant hypertension, with a stronger association among Caucasian populations and male OSA patients. Mild, moderate and severe OSA are associated essential hypertension, as well a dose-response manner is manifested.

Our interpretation of synthesized epidemiological evidence strengthens the acceptance of OSA as a risk factor of hypertension, in term of essential hypertension and resistant hypertension. Given the underlying mechanisms have been explained, the key remaining questions are how does OSA mediate hypertension and how can we implement specific interventions to reduce hypertension induced by OSA. More studies should be conducted to examine the mechanisms of hypertension regulation by OSA, especially among medication-resistant hypertension patients.

Acknowledgements

This study was supported by the grants from the Teachers’ Training Project of Taishan Medical University, the National Natural Science Foundation of China (No. 81372586, 81370083, 81273170), and Shandong Provincial Natural Science Foundation, China (No. ZR2017MH100). We thank Enoch Odame Anto, Edith Cowan University, Australia for his English editing on this manuscript.

Notes

[1] Authorship declaration: HH, WX and WW conceived and designed the study. YZ, WY, and JD searched the literature, reviewed the references, and collected the data. HD, XX and JD contributed to the professional review of medical approaches in the publications. HH and HD analyzed the data. HH, XX, and WW contributed to the writing of the manuscript. All authors read and approved the final manuscript.

Acknowledgements

Ethics approval: Not applicable.

Notes

[2] Competing interests: All authors have completed the ICMJE uniform disclosure form at http://www.icmje.org/coi_disclosure.pdf (available upon request from the corresponding author) and declare no conflicts of interest.

REFERENCES

[1] HK Walia, H Li, M Rueschman, DL Bhatt, SR Patel, and SF Quan. Association of severe obstructive sleep apnea and elevated blood pressure despite antihypertensive medication use. J Clin Sleep Med. 2014;10:835-43. [PMID:25126027]

[2] FJ Nieto, TB Young, BK Lind, E Shahar, JM Samet, and S Redline. Association of sleep - disordered breathing, sleep apnea, and hypertension in a large community - based study. Sleep Heart Health Study. JAMA. 2000;283:1829-36. DOI: 10.1001/jama.283.14.1829. [PMID:10770144]

[3] JM Marin, A Agusti, I Villar, M Forner, D Nieto, and SJ Carrizo. Association between treated and untreated obstructive sleep apnea and risk of hypertension. JAMA. 2012;307:2169-76. DOI: 10.1001/jama.2012.3418. [PMID:22618924]

[4] JA Dempsey. 1, Veasey SC, Morgan BJ, O’Donnell CP. Pathophysiology of sleep apnea. Physiol Rev. 2010;90:47-112. DOI: 10.1152/physrev.00043.2008. [PMID:20086074]

[5] O Friedman and AG Logan. The price of obstructive sleep apnea - hypopnea: hypertension and other ill effects. Am J Hypertens. 2009;22:474-83. DOI: 10.1038/ajh.2009.43. [PMID:19265785]

[6] ES Muxfeldt, V Margallo, LM Costa, G Guimarăes, AH Cavalcante, and JC Azevedo. Effects of continuous positive airway pressure treatment on clinic and ambulatory blood pressures in patients with obstructive sleep apnea and resistant hypertension: a randomized controlled trial. Hypertension. 2015;65:736-42. DOI: 10.1161/HYPERTENSIONAHA.114.04852. [PMID:25601933]

[7] E Thunström, K Manhem, A Rosengren, and Y Peker. Blood pressure response to losartan and continuous positive airway pressure in hypertension and obstructive sleep apnea. Am J Respir Crit Care Med. 2016;193:310-20. DOI: 10.1164/rccm.201505-0998OC. [PMID:26414380]

[8] SL Appleton, A Vakulin, SA Martin, CJ Lang, GA Wittert, and AW Taylor. Hypertension is associated with undiagnosed obstructive sleep apnea during rapid eye movement (REM) sleep. Chest. 2016;150:495-05. DOI: 10.1016/j.chest.2016.03.010. [PMID:27001264]

[9] J Guo, Y Sun, LJ Xue, ZY Huang, YS Wang, and L Zhang. Effect of CPAP therapy on cardiovascular events and mortality in patients with obstructive sleep apnea: a meta-analysis. Sleep Breath. 2016;20:965-74. DOI: 10.1007/s11325-016-1319-y. [PMID:26873722]

[10] C Fava, S Dorigoni, F Dalle Vedove, E Danese, M Montagnana, and GC Guidi. Effect of CPAP on blood pressure in patients with OSA/hypopnea a systematic review and meta-analysis. Chest. 2014;145:762-71. DOI: 10.1378/chest.13-1115. [PMID:24077181]

[11] PA James, S Oparil, BL Carter, WC Cushman, C Dennison-Himmelfarb, and J Handler. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA. 2014;311:507-20. DOI: 10.1001/jama.2013.284427. [PMID:24352797]

[12] Y Wu, G Hu, F Pan, J Liu, X Mo, and Y Xie. Obstructive sleep apnea hypopnea syndrome was a risk factor for uncontrolled hypertension in adult snorers in South China. Clin Exp Hypertens. 2016;38:429-34. DOI: 10.3109/10641963.2016.1151525. [PMID:27359186]

[13] K Abdel-Kader, S Dohar, N Shah, M Jhamb, SE Reis, and P Strollo. Resistant hypertension and obstructive sleep apnea in the setting of kidney disease. J Hypertens. 2012;30:960-6. DOI: 10.1097/HJH.0b013e328351d08a. [PMID:22388231]

[14] LF Drager, PR Genta, RP Pedrosa, FB Nerbass, CC Gonzaga, and EM Krieger. Characteristics and predictors of obstructive sleep apnea in patients with systemic hypertension. Am J Cardiol. 2010;105:1135-9. DOI: 10.1016/j.amjcard.2009.12.017. [PMID:20381666]

[15] SC Gonçalves, D Martinez, M Gus, EO de Abreu-Silva, C Bertoluci, and I Dutra. Obstructive sleep apnea and resistant hypertension: a case-control study. Chest. 2007;132:1858-62. DOI: 10.1378/chest.07-1170. [PMID:18079220]

[16] P Ruttanaumpawan, C Nopmaneejumruslers, AG Logan, A Lazarescu, I Qian, and TD Bradley. Association between refractory hypertension and obstructive sleep apnea. J Hypertens. 2009;27:1439-45. DOI: 10.1097/HJH.0b013e32832af679. [PMID:19421073]

[17] PR Bartel, M Loock, C van der Meyden, E Robinson, and P Becker. Hypertension and sleep apnea in black South Africans. A case control study. Am J Hypertens. 1995;8:1200-5. DOI: 10.1016/0895-7061(95)00387-8. [PMID:8998254]

[18] BD Crocker, LG Olson, NA Saunders, MJ Hensley, JL McKeon, and KM Allen. Estimation of the probability of disturbed breathing during sleep before a sleep study. Am Rev Respir Dis. 1990;142:14-8. DOI: 10.1164/ajrccm/142.1.14. [PMID:2368960]

[19] PE Peppard, T Young, M Palta, J Dempsey, and J Skatrud. Longitudinal study of moderate weight change and sleep - disordered breathing. JAMA. 2000;284:3015-21. DOI: 10.1001/jama.284.23.3015. [PMID:11122588]

[20] J Durán, S Esnaola, R Rubio, and A Iztueta. Obstructive sleep apnea - hypopnea and related clinical features in a population - based sample of participants aged 30 to 70 yr. Am J Respir Crit Care Med. 2001;163:685-9. DOI: 10.1164/ajrccm.163.3.2005065. [PMID:11254524]

[21] M Guillot, E Sforza, E Achour-Crawford, D Maudoux, M Saint-Martin, and JC Barthélémy. Association between severe obstructive sleep apnea and incident arterial hypertension in the older people population. Sleep Med. 2013;14:838-42. DOI: 10.1016/j.sleep.2013.05.002. [PMID:23831239]

[22] DC Haas, GL Foster, FJ Nieto, S Redline, HE Resnick, and JA Robbins. Age - dependent associations between sleep - disordered breathing and hypertension: importance of discriminating between systolic/diastolic hypertension and isolated systolic hypertension in the Sleep Heart Health Study. Circulation. 2005;111:614-21. DOI: 10.1161/01.CIR.0000154540.62381.CF. [PMID:15699282]

[23] VK Kapur, HE Resnick, and DJ Gottlieb. Sleep disordered breathing and hypertension: does self - reported sleepiness modify the association? Sleep. 2008;31:1127-32. [PMID:18714785]

[24] Z Li, Y Li, L Yang, T Li, F Lei, and AN Vgontzas. Characterization of obstructive sleep apnea in patients with insomnia across gender and age. Sleep Breath. 2015;19:723-7. DOI: 10.1007/s11325-015-1121-2. [PMID:25601512]

[25] B Mokhlesi, LA Finn, EW Hagen, T Young, KM Hla, and E Van Cauter. Obstructive sleep apnea during REM sleep and hypertension: results of the Wisconsin Sleep Cohort. Am J Respir Crit Care Med. 2014;190:1158-67. DOI: 10.1164/rccm.201406-1136OC. [PMID:25295854]

[26] P Priou, M Le Vaillant, N Meslier, A Paris, T Pigeanne, and XL Nguyen. Cumulative association of obstructive sleep apnea severity and short sleep duration with the risk for hypertension. PLoS One. 2014;9:e115666 DOI: 10.1371/journal.pone.0115666. [PMID:25531468]

[27] S Redline, D Sotres-Alvarez, J Loredo, M Hall, SR Patel, and A Ramos. Sleep - disordered breathing in Hispanic/Latino individuals of diverse backgrounds. The Hispanic Community Health Study/Study of Latinos. Am J Respir Crit Care Med. 2014;189:335-44. DOI: 10.1164/rccm.201309-1735OC. [PMID:24392863]

[28] R Smith, J Ronald, K Delaive, R Walld, J Manfreda, and MH Kryger. What are obstructive sleep apnea patients being treated for prior to this diagnosis? Chest. 2002;121:164-72. DOI: 10.1378/chest.121.1.164. [PMID:11796446]

[29] W Xie, S Chakrabarty, R Levine, R Johnson, and JB Talmage. Factors associated with obstructive sleep apnea among commercial motor vehicle drivers. J Occup Environ Med. 2011;53:169-73. DOI: 10.1097/JOM.0b013e3182068ceb. [PMID:21270659]

[30] T Young, P Peppard, M Palta, KM Hla, L Finn, and B Morgan. Population - based study of sleep - disordered breathing as a risk factor for hypertension. Arch Intern Med. 1997;157:1746-52. DOI: 10.1001/archinte.1997.00440360178019. [PMID:9250236]

[31] MF Yusoff, MM Baki, N Mohamed, AS Mohamed, MR Yunus, and M Ami. Obstructive sleep apnea among express bus drivers in Malaysia: important indicators for screening. Traffic Inj Prev. 2010;11:594-9. DOI: 10.1080/15389588.2010.505255. [PMID:21128189]

[32] D Zou, DN Eder, D Eskandari, L Grote, KB Boström, and U Lindblad. Association between short total sleep time and hypertension: the Skara Sleep Cohort. J Hypertens. 2013;31:345-51. DOI: 10.1097/HJH.0b013e32835bf798. [PMID:23196899]

[33] GT O’Connor, B Caffo, AB Newman, SF Quan, DM Rapoport, and S Redline. Prospective study of sleep - disordered breathing and hypertension: the Sleep Heart Health Study. Am J Respir Crit Care Med. 2009;179:1159-64. DOI: 10.1164/rccm.200712-1809OC. [PMID:19264976]

[34] PF Chan, BC Tai, G Loo, CY Koo, TH Ong, and TC Yeo. Optimal Body Mass Index cut - offs for identification of patients with coronary artery disease at high risk of obstructive sleep apnoea. Heart Lung Circ. 2016;25:847-54. DOI: 10.1016/j.hlc.2016.02.010. [PMID:27067667]

[35] L Lavie. Obstructive sleep apnoea syndrome–an oxidative stress disorder. Sleep Med Rev. 2003;7:35-51. DOI: 10.1053/smrv.2002.0261. [PMID:12586529]

[36] MN Pratt-Ubunama, MK Nishizaka, RL Boedefeld, SS Cofield, SM Harding, and DA Calhoun. Plasma aldosterone is related to severity of obstructive sleep apnea in participants with resistant hypertension. Chest. 2007;131:453-9. DOI: 10.1378/chest.06-1442. [PMID:17296647]

[37] E Pimenta, M Stowasser, RD Gordon, SM Harding, M Batlouni, and B Zhang. Increased dietary sodium is related to severity of obstructive sleep apnea in patients with resistant hypertension and hyperaldosteronism. Chest. 2013;143:978-83. DOI: 10.1378/chest.12-0802. [PMID:23288434]

[38] JM Dopp, KJ Reichmuth, and BJ Morgan. Obstructive sleep apnea and hypertension: mechanisms, evaluation, and management. Curr Hypertens Rep. 2007;9:529-34. DOI: 10.1007/s11906-007-0095-2. [PMID:18367017]

[39] J Zhang, RC Ma, AP Kong, WY So, AM Li, and SP Lam. Relationship of sleep quantity and quality with 24-hour urinary catecholamines and salivary awakening cortisol in healthy middle-aged adults. Sleep. 2011;34:225-33. DOI: 10.1093/sleep/34.2.225. [PMID:21286244]

[40] AG Logan, SM Perlikowski, A Mente, A Tisler, R Tkacova, and M Niroumand. High prevalence of unrecognized sleep apnoea in drugresistant hypertension. J Hypertens. 2001;19:2271-7. DOI: 10.1097/00004872-200112000-00022. [PMID:11725173]

[41] I Cano-Pumarega, F Barbé, A Esteban, M Martínez-Alonso, and C Egea. Durán - Cantolla J. Sleep Apnea and Hypertension: Are there sex differences? The Vitoria Sleep Cohort. Chest. 2017;152:742-50. DOI: 10.1016/j.chest.2017.03.008. [PMID:28300571]

[42] F Xi, Z Wang, Y Qi, R Brightwell, P Roberts, and A Stewart. Long-term effect of respiratory training for chronic obstructive pulmonary disease patients at an outpatient clinic: a randomised controlled trial. Clin Transl Med. 2015;4:31 DOI: 10.1186/s40169-015-0073-2. [PMID:26458936]

[43] Y Wang, L Klarić, X Yu, K Thaqi, J Dong, and M Novokmet. The association between glycosylation of immunoglobulin g and hypertension: A multiple ethnic cross-sectional study. Medicine (Baltimore). 2016;95:e3379 DOI: 10.1097/MD.0000000000003379. [PMID:27124023]

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