Timely diagnosis and treatment of sleep apnea reduce cardiovascular sequelae in patients with myocardial infarction

In search of a better CPAP interface: A network meta-analysis comparing nasal masks, nasal pillows and oronasal masks

Until now, no study has directly network meta-analysed the impact of nasal masks, nasal pillows and oronasal masks on continuous positive airway pressure therapy in patients with obstructive sleep apnea. This study aimed to meta-analyse the impact of three kinds of nasal interfaces with both network meta-analysis and pairwise comparison. PubMed, EMBASE, CENTRAL and ClinicalTrials.gov were systematically searched from inception to December 2020 for studies that compared the three types of nasal interfaces for treating obstructive sleep apnea with continuous positive airway pressure. The outcomes were residual apnea-hypopnea index, continuous positive airway pressure, and nightly average usage. The network meta-analysis was conducted using multivariate random-effects in a frequentist framework where three interfaces were ranked with the surface under the cumulative ranking probabilities. The pairwise comparison was conducted using random-effects meta-analysis. Twenty-nine articles comprising 6378 participants were included. The pairwise comparison showed both nasal masks and nasal pillows were associated with lower residual apnea-hypopnea index, lower continuous positive airway pressure, and higher continuous positive airway pressure adherence compared with oronasal masks. The surface under the cumulative ranking confirmed that nasal masks were associated with the lowest residual apnea-hypopnea index and highest adherence, while pillows were associated with the lowest continuous positive airway pressure. The meta-regression identified that lower pretreatment apnea-hypopnea index and continuous positive airway pressure determined during continuous positive airway pressure titration (versus determined during continuous positive airway pressure therapy) was associated with lower continuous positive airway pressure with nasal masks and nasal pillows. In conclusion, compared with oronasal masks, nasal masks and nasal pillows are better interfaces, especially in patients with lower pretreatment apnea-hypopnea index and those with the therapeutic pressure determined during continuous positive airway pressure titration.

Effect of Sleep Surgery on Inflammatory Cytokines in Adult Obstructive Sleep Apnea: A Systematic Review and Meta-Analysis

OBJECTIVE

To evaluate whether sleep surgery is associated with inflammatory cytokine changes. This study hypothesizes cytokines may change after surgery in adult obstructive sleep apnea (OSA).

STUDY DESIGN

Systematic review and meta-analysis.

METHODS

The study protocol was registered on PROSPERO (CRD42020154425). Two authors independently searched PubMed, Embase, and Cochrane review databases from their inception to June 2021. The keywords used were sleep apnea, inflammatory markers, cytokines, and surgery. The effects of sleep surgery on the apnea-hypopnea index (AHI) and inflammatory cytokines were evaluated using a random-effects model. Both mean difference (MD) and standardized mean difference (SMD) of the changes in cytokines were calculated.

RESULTS

Nine studies with 235 adults were included (mean age: 43 years; 82% were men). After sleep surgery, AHI significantly reduced by -11.3 events/h (95% confidence interval [CI], -15.8 to -6.9). In total, 8 and 6 studies were pooled for examining tumor necrosis factor-alpha (TNF-α) and interleukin-6 (IL-6) levels, respectively. Sleep surgery significantly reduced TNF-α levels, with an MD of -2.8 pg/ml (95% CI, -5.1 to -0.6) and an SMD of -0.56 (95% CI, -0.85 to -0.27). Furthermore, sleep surgery reduced IL-6 levels, with an MD of -0.6 pg/ml (95% CI, -1.0 to -0.2) and an SMD of -0.66 (95% CI, -0.89 to -0.43). No covariates were identified to be correlated with cytokine changes in subgroup and meta-regression analyses. Funnel plots showed possible publication bias in current data.

CONCLUSIONS

In adults, OSA treatment with sleep surgery improves inflammatory cytokines. Laryngoscope, 2022.

Prediction of Mandibular Advancement Device Response Using CPAP Pressure in Different Polysomnographic Phenotypes

Objective

Both continuous positive airway pressure (CPAP) pressure and polysomnographic phenotypes have been associated with mandibular advancement device (MAD) treatment response, but the precise relationship has not been fully elucidated. We hypothesized that utilizing CPAP pressure would predict the MAD response in treatment-naïve patients with moderate-severe obstructive sleep apnea (OSA), and the MAD response would be associated with two polysomnographic phenotypes, including sleep stage dependency and positional dependency.

Methods

OSA treatment-naïve patients with an apnea-hypopnea index (AHI) ≥15/h who declined CPAP treatment and received MAD treatment for 3-6 months were enrolled. The MAD treatment response was defined as 1) residual AHI under MAD (AHIMAD) <5/h and 2) AHIMAD <10/h. Logistic regression was applied to identify the association between CPAP pressure and MAD treatment responders. The predictability of the MAD responder status utilizing CPAP pressure was assessed with the area under the receiver operating characteristic (AUROC).

Results

A total of 128 enrolled patients (AHI ≥30/h in 74.2%) were recruited, of whom 119 patients and 80 patients were included for analysis of sleep stage and positional dependency, respectively. REM-predominant OSA had lower AHI than stage-independent OSA, while the supine-predominant phenotype had lower anthropometrics than the nonpositional-dependent phenotype. The response rates for AHIMAD <5/h and AHIMAD <10/h were 25.8% and 48.4%, respectively. Lower anthropometrics, baseline AHI, and supine predominance were associated with the responder status, while CPAP pressure was an independent predictor. The AUROCs for the prediction of AHIMAD <5/h and AHIMAD <10/h responders were 0.635 and 0.664, respectively. Utilizing a CPAP level >14 cmH2O as the cutoff to predict criterion 1 and 2 nonresponders, the sensitivity was 93.9% and 95.2%, respectively.

Conclusion

In treatment-naïve patients with moderate-severe OSA, the supine-predominant phenotype and lower CPAP pressure were associated with the MAD response, while the sleep stage dependency phenotype was not. Utilization of a CPAP level >14 cmH2O could be a sensitive measure to identify nonresponders.

24-Hour Ambulatory Blood Pressure Variability in Children with Obstructive Sleep Apnea

OBJECTIVE

To evaluate blood pressure (BP) variability in 24-hour ambulatory BP monitoring in children with obstructive sleep apnea (OSA).

STUDY DESIGN

Case series study.

METHODS

Children aged 4 to 16 years with clinical symptoms were recruited in a tertiary medical center. Overnight polysomnography and 24-hour recordings of ambulatory BP were performed for each child. The severity of OSA was classified as primary snoring (apnea-hypopnea index [AHI] < 1), mild OSA (1 ≤ AHI < 5), moderate OSA (10 > AHI ≥ 5), and severe OSA (AHI ≥ 10). The standard deviation of mean BP was used as an indicator of BP variability.

RESULTS

A total of 550 children were included (mean age: 7.6 years; 70% were boys; 20% were obese). Compared with the children with primary snoring, children with severe OSA exhibited significantly higher nighttime systolic BP (108.0 vs. 100.5 mmHg, P < .001), nighttime diastolic BP (58.9 vs 55.6 mmHg, P = .002), nighttime mean arterial pressure (75.3 vs. 70.5 mmHg, P < .001), nighttime systolic BP load (40.5% vs. 25.0%, P < .001), nighttime diastolic BP load (25.3% vs. 12.9%, P < .001), and nighttime systolic BP variability (11.4 vs. 9.6, P = .001). Multiple linear regression analyses revealed an independent association between AHI and nighttime systolic BP variability (regression coefficient = 0.31, 95% CI = 0.06-0.56, P = .015) after adjustment for age, gender, adiposity, and hypertensive status.

CONCLUSIONS

OSA in children is associated with increased BP and BP variability.

LEVEL OF EVIDENCE

4 Laryngoscope, 131:2126-2132, 2021.

Effect of Sleep Surgery on C-Reactive Protein Levels in Adults With Obstructive Sleep Apnea: A Meta-Analysis

OBJECTIVES/HYPOTHESIS

To evaluate associations between sleep surgery and CRP (C-reactive protein) levels in adults with obstructive sleep apnea (OSA).

STUDY DESIGN

Meta-analysis.

METHODS

Two authors independently searched PubMed, Medline, EMBASE, and Cochrane review databases until July 2019. The keywords used were sleep apnea, OSA, sleep apnea syndromes, surgery, C-reactive protein (CRP), and inflammatory markers. The effects of sleep surgery on CRP levels were examined using a random-effects model.

RESULTS

Nine studies with 277 patients were analyzed (mean age: 46.5 years; 92% men; mean sample size: 30.8 patients). The mean change in the apnea-hypopnea index (AHI) after surgery was significantly reduced by -21.1 (95% confidence interval [CI], -28.4 to -13.7) events/hr. Overall, sleep surgery resulted in a significant reduction of CRP levels in patients with OSA (standardized mean difference [SMD] = -0.39, 95% CI, -0.67 to -0.11). Patients with postoperative AHI reduction >20 events/hr achieved a greater reduction in CRP than those with AHI reduction <20 events/hr (SMD: -0.72 vs. -0.14, P for heterogeneity = .007). According to subgroup analysis, differences in the CRP levels after surgery were nonsignificant in the different countries (i.e., United States vs. other countries), CRP types (i.e., CRP vs. high-sensitivity CRP), surgical procedures (i.e., pharyngeal surgery vs. other surgical procedures), and follow-up period (i.e., <6 vs. >6 months).

CONCLUSIONS

Sleep surgery for OSA resulted in a significant reduction of CRP levels in adults. The beneficial effect of surgery on CRP levels is greater in patients with large improvement in OSA (i.e., AHI reduction >20 events/hr) after sleep surgery. Laryngoscope, 131:1180-1187, 2021.

Obstructive sleep apnoea in acute coronary syndrome

Obstructive sleep apnoea (OSA) syndrome affects about 13% of the male and 7-9% of the female population. Hypoxia, oxidative stress and systemic inflammation link OSA and cardiovascular and metabolic consequences, including coronary artery disease. Current research has identified several clinical phenotypes, and the combination of breathing disturbances during sleep, systemic effects and end-organ damage might help to develop personalised therapeutic approaches. It is unclear whether OSA is a risk factor for acute coronary syndrome (ACS) and might affect its outcome. On the one hand, OSA in patients with ACS may worsen prognosis; on the other hand, OSA-related hypoxaemia could favour the development of coronary collaterals, thereby exerting a protective effect. It is unknown whether positive airway pressure treatment may influence adverse events and consequences of ACS. In non-sleepy patients with OSA and stable coronary artery disease, randomised controlled trials failed to show that continuous positive airway pressure (CPAP) treatment protected against cardiovascular events. Conversely, uncontrolled studies suggested positive effects of CPAP treatment in such patients. Fewer data are available in subjects with ACS and OSA, and results of randomised controlled studies on the effects of CPAP are expected shortly. Meanwhile, the search for reliable markers of risk continues. Recent studies suggest that daytime sleepiness may indicate a more severe OSA phenotype with regard to cardiovascular risk. Finally, some studies suggest sex-related differences. The picture is still incomplete, and the potential role of OSA in patients with ACS awaits confirmation, as well as clear definition of subgroups with different degrees of risk.