The Prevalence and Clinical Features of Hypertension in Patients With Obstructive Sleep Apnea Hypopnea Syndrome and Related Nursing Strategies

Wang, Yan; Yang, Qianyu; Feng, Jing; Cao, Jie; Chen, Bao-yuan

doi:10.1097/jnr.0000000000000111

Cited by 10 publications

(6 citation statements)

References 19 publications

(23 reference statements)

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“…In contrast to hypertension, awareness of OSA is low and a large number of people are unaware that hypertension is often caused by OSA, therefore we will select a history of hypertension as a predictor for the prediction model. In our study, 88.525% of patients with moderate-to-severe OSA had hypertension, which is slightly lower than the previous study by Wang et al (2016) (94.41% prevalence of hypertension in moderate-to-severe OSA), which may be related to the sample size. Hypertension was a predictor of OSA, which is similar to many previous studies (Chung et al, 2008;Marti-Soler et al, 2016;Tawaranurak et al, 2021) and we will not elaborate too much on it, as detailed in Tables 1, 3.…”

Section: Hypertensioncontrasting

confidence: 86%

Development and assessment of a risk prediction model for moderate-to-severe obstructive sleep apnea

et al. 2022

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BackgroundOSA is an independent risk factor for several systemic diseases. Compared with mild OSA, patients with moderate-to-severe OSA have more severe impairment in the function of all organs of the body. Due to the current limited medical condition, not every patient can be diagnosed and treated in time. To enable timely screening of patients with moderate-to-severe OSA, we selected easily accessible variables to establish a risk prediction model.MethodWe collected 492 patients who had polysomnography (PSG), and divided them into the disease-free mild OSA group (control group), and the moderate-to-severe OSA group according to the PSG results. Variables entering the model were identified by random forest plots, univariate analysis, multicollinearity test, and binary logistic regression method. Nomogram were created based on the binary logistic results, and the area under the ROC curve was used to evaluate the discriminative properties of the nomogram model. Bootstrap method was used to internally validate the nomogram model, and calibration curves were plotted after 1,000 replicate sampling of the original data, and the accuracy of the model was evaluated using the Hosmer-Lemeshow goodness-of-fit test. Finally, we performed decision curve analysis (DCA) of nomogram model, STOP-Bang questionnaire (SBQ), and NoSAS score to assess clinical utility.ResultsThere are 6 variables entering the final prediction model, namely BMI, Hypertension, Morning dry mouth, Suffocating awake at night, Witnessed apnea, and ESS total score. The AUC of this prediction model was 0.976 (95% CI: 0.962–0.990). Hosmer-Lemeshow goodness-of-fit test χ2 = 3.3222 (P = 0.1899 > 0.05), and the calibration curve was in general agreement with the ideal curve. The model has good consistency in predicting the actual occurrence of moderate-to-severe risk, and has good prediction accuracy. The DCA shows that the net benefit of the nomogram model is higher than that of SBQ and NoSAS, with has good clinical utility.ConclusionThe prediction model obtained in this study has good predictive power for moderate-to-severe OSA and is superior to other prediction models and questionnaires. It can be applied to the community population for screening and to the clinic for prioritization of treatment.

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Section: Hypertensioncontrasting

confidence: 86%

Development and assessment of a risk prediction model for moderate-to-severe obstructive sleep apnea

et al. 2022

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“…Common ABPM findings in patients with OSA include non‐dipping profile, morning BP surge, and increased BPV . Correlations between the evening‐to‐morning BP difference and the severity of OSA have been reported . Increasing apnea‐hypopnea index (AHI) or oxygen desaturation index (ODI) appear to be significant predictors of a non‐dipping ambulatory BP profile, while arousals may be a determinant of nocturnal BP and the 24‐hour BP profile .…”

Section: Resultsmentioning

confidence: 99%

Expert panel consensus recommendations for ambulatory blood pressure monitoring in Asia: The HOPE Asia Network

Kario

Shin

Chen³

et al. 2019

J of Clinical Hypertension

115

161

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Hypertension is an important public health issue because of its association with a number of significant diseases and adverse outcomes. However, there are important ethnic differences in the pathogenesis and cardio-/cerebrovascular consequences of hypertension. Given the large populations and rapidly aging demographic in Asian regions, optimal strategies to diagnose and manage hypertension are of high importance. Ambulatory | 1251 KARIO et Al.

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“…Increasing AHI has been associated with generally increased blood pressure (Wang et al, 2016), and early studies suggested that there could be a shift from higher evening blood pressure towards higher morning blood pressure as the sleep‐disordered breathing progresses (Hoffstein & Mateika, 1992). Several studies have shown that AHI is associated with morning blood pressure (Han et al, 2019; Lee & Jeong, 2014; Mokros et al, 2017; Wang et al, 2016). The role of gender is, however, unclear, as some of these recent studies did not find an association between AHI and blood pressure in women (Han et al, 2019; Lee & Jeong, 2014).…”

Section: Discussionmentioning

confidence: 99%

Evolution of sleep‐disordered breathing and blood pressure during menopausal transition

Rimpilä

Lampio

Kalleinen

et al. 2023

Journal of Sleep Research

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Summary The purpose of this study was to investigate how the blood pressure increase observed during menopausal transition is affected by sleep‐disordered breathing and the menopause itself. Further, we aimed to find new sleep‐disordered breathing related markers that would predict the development of hypertension. Sixty‐four community‐dwelling premenopausal women aged 45–47 years were studied. Polysomnography, serum follicle stimulating hormone, forced expiratory volume in 1 s, and a physical examination were performed at baseline and again after 10 years of follow‐up. Indices for sleep apnea/hypopnea and inspiratory flow‐limitation were determined. Regression models were used to study the relationships between variables. Changes in the apnea‐hypopnea index or serum follicle stimulating hormone were not significant for blood pressure change. An increase in morning blood pressure during the follow‐up period was associated with a body mass‐index increase. An increase in evening blood pressure was associated with an increase in inspiratory flow‐limitation during non‐rapid eye movement sleep. Incident hypertension during the follow‐up was associated with hypopnea (median hypopnea index 7.6/h, p = 0.048) during rapid eye movement sleep at baseline. Users of menopausal hormone therapy had a lower rapid eye movement sleep apnea‐hypopnea index (1.6/h vs. 6.9/h, p = 0.026) at baseline whereas at follow‐up users and non‐users did not differ in any way. The progression of menopause or the use of menopausal hormone therapy had a minimal effect on blood pressure in our population. The effects of inspiratory flow‐limitation on blood pressure profile should be studied further.

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The Prevalence and Clinical Features of Hypertension in Patients With Obstructive Sleep Apnea Hypopnea Syndrome and Related Nursing Strategies

Cited by 10 publications

References 19 publications

Development and assessment of a risk prediction model for moderate-to-severe obstructive sleep apnea

Development and assessment of a risk prediction model for moderate-to-severe obstructive sleep apnea

Expert panel consensus recommendations for ambulatory blood pressure monitoring in Asia: The HOPE Asia Network

Evolution of sleep‐disordered breathing and blood pressure during menopausal transition

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