Cardiovascular consequences of obstructive sleep apnea in different study models and novel perspectives

Increased diastolic blood pressure and apnea time contribute to the poor apnea and hypopnea index and life quality of primary snoring: a cohort study combined with external validation

Obstructive sleep apnea hypoventilation syndrome (OSAHS) is a common sleep breathing disorder closely associated with cardiovascular disease. However, the respiratory sleep and related cardiovascular parameters on the apnea and hypopnea index (AHI) and life quality of primary snoring are unclear. We launched a cohort study focused on the association between respiratory sleep and cardiovascular-related parameters and apnea and hypopnea index, incorporating data from 218 patients with primary snoring in our medical center between Jun 1, 2015, and Apr 1, 2016. Thirty patients from Sichuan Cancer Hospital were used for validation. Patients with longer apnea time were more likely to progress to higher AHI (> 30) than controls (OR = 5.66, 95% CI = [2.79, 11.97], p < 0.001). Similarly, if patients have a higher value of diastolic blood pressure, they will also have a higher AHI (> 30) (HR [95% CI] = 3.42 [1.14, 13.65], p = 0.043). According to multivariate analysis, longest apnea time, the mean percentage of SaO2, and neckline length were independent risk factors of overall survival. A predictive model developed based on these factors above yielded a favorable agreement (C-index = 0.872) on the calibration curve. Thirty patients conducted external validation from Sichuan Cancer Hospital, displaying an AUC of 0.833 (0.782-0.884). Increased diastolic blood pressure and apnea time affect AHI level. An AHI prediction model based on these factors above can help clinicians predict the risk of high AHI events.

Nocturnal heart rate variability in obstructive sleep apnoea: a cross-sectional analysis of the Sleep Heart Health Study

Background

Obstructive sleep apnoea (OSA) results in sympathetic overdrive. Increased nocturnal heart rate variability (HRV) is a surrogate marker of autonomic disturbance. The aim was to study the association of the apnoea-hypopnea index (AHI), nocturnal hypoxaemia, and sleep fragmentation with nocturnal HRV to address the pathophysiological mechanisms underlying autonomic disturbance in OSA.

Methods

Participants of the Sleep Hearth Health Study with available data on nocturnal HRV and an AHI ≥10/h have been included in this cross-sectional analysis. The main outcome of interest was the association of sleep fragmentation, nocturnal hypoxaemia, and the AHI with nocturnal HRV. Multivariate regression modelling with the mean of the standard deviations of normal-sinus-to-normal-sinus-interbeat intervals in all 5-minute segments (SDNNIDX) and with low to high frequency power-ratio (LF/HF) as dependent variables controlling for prespecified confounders (age, sex, cups of coffee, beta blocker, nocturnal heart rate) was used to assess the contribution of the arousal index, total sleep time with an oxygen saturation <90% (TST90) and the AHI not due to arousals to HRV. The significance level was set at P<0.01.

Results

In 258 patients with OSA (mean ± SD age 62±10 years, BMI 29±4 kg/m², median (IQR) AHI 18.6/h (14.0-25.6), the arousal index (coef =0.42, P=0.002) was independently positively associated with SDNNIDX also after having controlled for potential confounders, whereas the AHI (coef =0.22, P=0.030) and TST90 (coef =0.36, P=0.054) were not. The arousal index-but not TST and AHI-was also independently associated with LF/HF.

Conclusions

In OSA, pronounced sleep fragmentation is associated with higher nocturnal HRV and a sympatho-vagal imbalance with sympathetic dominance. OSA severity and nocturnal hypoxaemia did not independently predict nocturnal HRV.

Predictors of changes in subjective daytime sleepiness in response to CPAP therapy withdrawal in OSA: A post-hoc analysis

Subjective sleepiness is the hallmark symptom of untreated obstructive sleep apnea (OSA) and leads to an increased risk of motor vehicle accidents and impaired quality of life. Continuous positive airway pressure (CPAP) is the standard therapy for OSA and improves sleepiness. The aim was to identify factors that might predict recurrence of sleepiness in times off CPAP and to define OSA patient types with a likely effect of CPAP on sleepiness. A post-hoc analysis of six clinical trials, including 132 patients with OSA effectively treated with CPAP prior to study inclusion, who were allocated to 2 weeks of CPAP withdrawal, was conducted to assess predictors of a change in subjective sleepiness. A multivariate regression model was used to assess predictors of a change in the Epworth Sleepiness Scale (ESS) score. In response to CPAP withdrawal, the median apnea-hypopnea index (AHI) and the ESS score significantly increased compared to baseline on CPAP by 32.6/hr (95% CI, 28.8, 36.4)/hr and 2.5 (95% CI, 1.8,3.2), respectively (p < .001), in the included 132 patients. There was an independent positive association of AHI (Coef. [95% CI] 0.04 [0.01, 0.08]) with an increase in ESS score upon CPAP withdrawal, and an independent negative association of age (coef. [95% CI], -0.10 [-0.18, -0.2]), ESS on CPAP (coef. [95% CI], -0.21 [-0.40, -0.015]) and active smoking status (coef. [95% CI], -1.22 [-2.26, -0.17]). These findings suggest that younger patients with a low residual sleepiness on CPAP and a recurrence of more severe OSA during CPAP withdrawal are at highest risk of suffering from a clinically relevant return of daytime sleepiness in times off CPAP.