Lower Apnea-hypopnea Index Research Articles

Association Between Age and Co-Morbid Insomnia and Sleep Apnea

PurposeTo investigate the age-related prevalence of Co-Morbid Insomnia and Sleep Apnea (COMISA). MethodsA single-night polysomnography with video monitoring was conducted on 2,176 Chinese adults (ages 18-102) to screen for Obstructive Sleep Apnea (OSA). Insomnia was defined as difficulty initiating or maintaining sleep, or early morning awakening at least three times per week for more than three months, accompanied by daytime symptoms such as irritability, fatigue, or anxiety. ResultsOf the participants, 981 met the criteria for COMISA, defined by an apnea-hypopnea index (AHI) of ≥5 and the presence of insomnia. Compared to patients with OSA only (n=433), COMISA patients were more often female (48% vs. 24%), had longer sleep onset latency (5.8 minutes), shorter total sleep time (14.0 minutes), lower AHI (14.4 points), and higher mean peripheral oxygen saturation (0.6%; all p<0.05). The prevalence of COMISA versus OSA only was 51.9% vs. 48.1% in participants under 50 years, compared to 78.1% vs. 21.9% in those aged 70 or older. Logistic regression analysis adjusted for sex showed a 3% increase in the odds of COMISA (95% CI: 1.02-1.04) with each additional year of age. ConclusionsOur findings reveal a significant association between increasing age and the development of COMISA, underscoring the need for heightened clinical awareness of this condition in elderly patients.

Modification of McGill Oximetry Score in Improving the Diagnostic Capability of Paediatric OSA.

This study aimed to devise a modified oximetry scoring system and calculate its diagnostic accuracy in detecting paediatric obstructive sleep apnoea syndrome (OSAS). This prospective diagnostic accuracy study was divided into two phases. The study was conducted at a quaternary teaching hospital. Polysomnograms performed from 1 April 2014 to 31 December 2021 were included. In Phase 1, the parameters of 95 oximetry trend graphs were evaluated, and a modified scoring system was constructed. In Phase 2, the modified scoring system was employed in 272 oximetry trend graphs, and its diagnostic accuracy was determined. A logistic regression model was used to assess the ability of each scoring system to predict paediatric OSAS. A total of 367 patients were recruited. In Phase 1, a four-tier severity classification system was constructed. In Phase 2, its diagnostic accuracy was found to be 53.3% sensitive, 97% specific, with positive predictive value of 98.5% and negative predictive value of 34.6%. The lowest detectable apnoea-hypopnoea index (AHI) was 4.5. The inter-rater reliability calculated was 80%. Logistic regression was applied to assess associations of the modified McGill score (MMS) or McGill oximetry score (MOS) with OSAS. The area under the receiver operating characteristic curve was higher for the MMS than for MOS (0.78 [95% CI 0.73-0.84] vs. 0.59 [95% CI 0.51-0.66]). This study demonstrated that our modified scoring system had increased sensitivity at detecting OSAS at a much lower AHI and showed a much greater ability to predict paediatric OSAS.

Ansa Cervicalis Stimulation Effects on Upper Airway Patency: A Structure-Based Analysis.

Ansa cervicalis stimulation (ACS) of the infrahyoid muscles has been proposed as a neurostimulation therapy for obstructive sleep apnea (OSA). ACS stabilizes the pharynx by pulling it caudally, but its specific effects on flow limitation caused by palatal, oropharyngeal lateral wall, tongue base, or epiglottis collapse remains unclear. To quantify the effect of ACS on collapsibility of different pharyngeal flow-limiting structures. Participants with OSA underwent bilateral ACS during drug-induced sleep endoscopy. Maximum inspiratory airflow was assessed over a range of positive airway pressures while ACS was applied. The flow-limiting structure for each breath was classified based on manometric and endoscopic findings and a linear mixed-effects model characterized their response to ACS. The influence of patient characteristics was explored with univariate models. Forty-one participants yielded 1761 breaths for analysis. On average, bilateral ACS decreased the observed pharyngeal critical closing (PCRIT) and opening (POPEN) pressures by -3.0 [95% confidence interval: [-3.6, -2.3] and -3.7 [-4.4, -3.0] cmH2O, respectively (p<0.001). During tongue base obstruction, modeled ACS effects for PCRIT and POPEN were -2.0 [-2.7, -1.4] and -3.1 [-3.8, -2.4] cmH2O, respectively (p<0.001). Greater reductions were generally observed for other flow-limiting structures. A lower apnea-hypopnea index was associated with a greater decrease in POPEN (p<0.01). Other patient characteristics, including body mass index, did not influence PCRIT or POPEN (p>0.05). Bilateral ACS decreased collapsibility of all airway flow-limiting structures. ACS generally had greater effects on palatal, oropharyngeal lateral wall, and epiglottic collapse than the tongue base.

Increased sighing during sleep as a marker of multiple system atrophy

Parkinson’s disease (PD) and multiple system atrophy (MSA) can be preceded by isolated REM sleep behavior disorder (iRBD). As excessive sighing during wakefulness is a red flag for MSA in individuals with parkinsonism, we measured sighing during slow wave sleep (N3) and REM sleep as potential biomarkers in 73 participants with MSA, 111 with iRBD, 257 with PD, and 115 controls. The number of sighs/hour of N3 (index) was higher in the MSA group than in the other groups. Sighs were rarer in REM sleep than in N3 sleep. A sigh index greater than 3.4/h of N3 was 95% sensitive in discriminating participants with MSA from controls, and a sigh index greater than 0.8 sigh/h of REM sleep was 87% specific in discriminating participants with MSA from controls. MSA participants with (vs. without) sigh were younger, had a lower apnea-hypopnea index (but no more stridor), and had no other difference in motor, autonomic, cognitive, and sensory symptoms. The sigh index could be used for screening for MSA in the millions of middle-aged persons who receive polysomnography for other purposes. Whether sighing in iRBD predicts preferential conversion towards MSA should be measured in a longitudinal study.

Sex differences in sleep and sleep-disordered breathing.

There is increasing evidence for relevant sex differences in pathophysiology, symptom presentation and outcomes in obstructive sleep apnoea (OSA). However, research on sex differences and sex-specific phenotypes in sleep-disordered breathing (SDB) is still in its infancy and data on sex differences in other SDB is still very scarce. While OSA is more common in men than in premenopausal women, the prevalence of OSA doubles postmenopausally and becomes comparable to that of men. Women have a lower collapsibility of the upper airway and a lower arousal threshold. In addition, the rapid eye movement (REM)-apnoea-hypopnoea index (AHI) is typically higher in women than in men, but the non-REM-AHI and thus the total AHI is often lower. Women are often symptomatic at lower AHI and present more frequently with symptoms of sleep fragmentation and poor sleep quality. Both certain forms of OSA (e.g. REM-OSA) and certain phenotypes (e.g. COMISA) are more common in women. Men have a higher risk of high loop gain central sleep apnoea. For a better understanding of sex-typical phenotypes with the aim of a more targeted treatment approach of SDB, adequately powered studies on sex differences in SDB should be conducted.

PREDICTORS OF BLOOD PRESSURE RESPONSE TO CPAP TREATMENT IN PATIENTS WITH SLEEP APNEA

Objective: Sleep apnea is associated with hypertension. Metaanalyses indicate that treatment of sleep apnea by continuous positive airway pressure (CPAP) reduces blood pressure (BP) by a mean of 3 mmHg. To date, predictors of BP response to CPAP remain incompletely understood. We hypothesized that the magnitude of CPAP-induced BP reduction depends on baseline apnea hypopnea index (AHI) and the extent of daytime sleepiness. Design and method: We performed a retrospective study on the association of BP response to CPAP with polysomnographic readings, intensity of sleepiness (measured by Epworth Sleepiness Scale, ESS), and epidemiologic parameters in 2461 patients with obstructive sleep apnea. BP response was defined as the difference between office BP at polysomonography examinations before and after initiation of CPAP. Results: 555 patients fulfilled all in- and exclusion criteria and were included in the analysis. Median monthly CPAP usage was 143.7h (85.4-204.1h). BP was significantly higher at baseline than at follow-up (129.9±15.5 vs. 128.3±15.2, p=0.021) resulting in mean reduction of BP of -1.5±19.2 mmHg. Subjects with a higher than median baseline AHI (median 21) showed a more pronounced reduction of BP than those with lower AHI (AHI &gt;21: 130.5±15.3 vs. 128.6±14.6, p=0.06; AHI &lt;21: 129.5±15.8 vs. 127.9±15.8, p=0.18). CPAP therapy led to a significant reduction in sleepiness (8.3±4.8 vs. 6.6±4.5, p&lt;0.0001). Those subjects with higher than median sleepiness score (ESS &gt;8), however, did not show a significant difference in BP response compared to those with a lower sleepiness score. Receiver-operating characteristic (ROC) curve analyses investigating the accuracy of AHI and ESS to predict a BP reduction &gt;5 mmHg revealed an AUC of 0.51 and 0.52, respectively. Conclusions: The study confirms that CPAP therapy for sleep apnea has a mild BP lowering effect. Although this effect is slightly higher in patients with above-average AHI, neither AHI nor ESS can be used to define threshold values predicting a BP decrease &gt; 5 mmHg.

Association Between Obstructive Sleep Apnea (OSA) Severity and Optimal Continuous Positive Airway Pressure (CPAP); Do Severe OSA Patients Always Need High CPAP Pressure?

Objective: Obstructive sleep apnea (OSA) is a prevalent sleep disorder associated with an increased risk of cardiovascular disease. Severity of OSA is assessed using the apnea-hypopnea index (AHI), but the optimal continuous positive airway pressure (CPAP) does not always correlate proportionally with AHI. This study aims to identify factors leading to the need for high CPAP pressure despite low AHI or vice versa.Methods: The study includes 91 patients diagnosed with OSA through polysomnography. Participants undergoing CPAP titration were categorized in three groups based on AHI (30/h) and optimal CPAP pressure (10 cm H&lt;sub&gt;2&lt;/sub&gt;O); low AHI and high CPAP pressure group (LH group), high AHI and low CPAP pressure group (HL group), direct proportion group (DP group). The Kruskal–Wallis nonparametric statistical test is used to identify significant differences between the three groups.Results: Among the subjects, 78% were male, with no significant age or BMI differences between groups. There were 36 (39.6%) subjects with mild to moderate OSA and 55 (60.4%) subjects with severe OSA. The study revealed that patients requiring high CPAP pressure despite low AHI (LH group) had lower AHI, oxygen desaturation index, and various other parameters compared to other groups as expected. However, certain factors like the percentage of hypopnea in AHI, limb movement (LM) arousal index, and spontaneous arousal index were higher in the LH group.Conclusion: Patients with mild to moderate OSA requiring high CPAP pressure are more likely associated with specific aspects such as hypopnea in AHI, LM arousal, and spontaneous arousal index, presenting unpredictable outcomes.

Predictors of blood pressure response to continuous positive airway pressure treatment in patients with sleep apnea.

Sleep apnea is associated with hypertension. Metaanalyses indicate that treatment of sleep apnea by continuous positive airway pressure (CPAP) reduces blood pressure (BP) by a mean of 3 mmHg. To date, predictors of BP response to CPAP remain incompletely understood. We hypothesized that the magnitude of CPAP-induced BP reduction depends on baseline apnea-hypopnea index (AHI) and the extent of daytime sleepiness. We performed a retrospective study on the association of BP response to CPAP with polysomnographic readings, intensity of sleepiness (measured by Epworth Sleepiness Scale, ESS), and epidemiologic parameters in 2461 patients with obstructive sleep apnea. BP response was defined as the difference between office BP at polysomonography examinations before and after initiation of CPAP. Five hundred and fifty-five patients fulfilled all inclusion and exclusion criteria and were included in the analysis. Median monthly CPAP usage was 143.7 h (85.4-204.1 h). BP was significantly higher at baseline than at follow-up (129.9 ± 15.5 vs. 128.3 ± 15.2, P = 0.021) resulting in mean reduction of BP of -1.5 ± 19.2 mmHg. patients with a higher than median baseline AHI (median 21) showed a more pronounced reduction of BP than those with lower AHI (AHI ≥21: 130.5 ± 15.3 vs. 128.6 ± 14.6, P = 0.06; AHI <21: 129.5 ± 15.8 vs. 127.9 ± 15.8, P = 0.18). CPAP therapy led to a significant reduction in sleepiness (8.3 ± 4.8 vs. 6.6 ± 4.5, P < 0.0001). Those subjects with higher than median sleepiness score (ESS ≥8), however, did not show a significant difference in BP response compared with those with a lower sleepiness score. Receiver-operating characteristic (ROC) curve analyses investigating the accuracy of AHI and ESS to predict a BP reduction at least 5 mmHg revealed an AUC of 0.51 and 0.52, respectively. The study confirms that CPAP therapy for sleep apnea has a mild BP lowering effect. Although this effect is slightly higher in patients with above-average AHI, neither AHI nor ESS can be used to define threshold values predicting a BP decrease at least 5 mmHg.

Clinical and PSG Characteristics Comparison of Central Sleep Apnea in the Elderly and Non-Elderly Patients.

To explore the characteristics of elderly patients with central sleep apnea (CSA). This retrospective study divided 123 patients with CSA into elderly and non-elderly groups, and compared them in terms of demographic characteristics (age, BMI, etc), underlying diseases (hypertension, coronary heart disease, and cardiac arrhythmias, etc). and polysomnography parameters. Multiple linear regression analysis was conducted to investigate the potential risk factors of central apnea index (CAI). Compared with the non-elderly group, patients in the elderly group had lower body mass index, a higher proportion of comorbidities of coronary heart disease, arrhythmias, and diabetes, lower apnea-hypopnea index (AHI), obstructive apnea index (OAI) and oxygen desaturation index (ODI). CAI of the elderly group showed a trend higher than that of the non-elderly group with no statistical difference. However, the ratio of CAI to AHI in the elderly group was significantly higher (0.264 vs 0.154, P=0.003). True CSA was less prevalent than companion CSA in both groups. The results of multiple regression analysis indicated CAI was independently associated with age (β=0.256, P=0.005), OAI (β=-0.543, P<0.001), MAI (β=-0.267, P=0.005), ODI (β=0.538, P<0.001), heart failure (β=0.300, P<0.001). CSA typically coexists with other types of sleep apnea. Elderly CSA patients have characteristics such as a lower BMI, and a milder decrease in blood oxygen saturation, along with higher prevalence of arrhythmia and coronary heart disease. Age may be a potential risk factor for CSA.

Estimation of antihypertensive effect after initiating continuous positive airway pressure treatment in Japanese patients with sleep disordered breathing

Abstract Introduction It is true that patients with cardiovascular diseases including hypertension have already suffered from sleep disordered breathing (SDB). Furthermore, Continuous Positive Airway Pressure (CPAP) treatment shows antihypertensive effect by improving sympathetic nervous activity. On the other hand, we reported that CPAP treatment had a beneficial effect on hypertension, but 70% patients still remain inadequately treated. As a result, we need the strict blood pressure follow up for patient with SDB after initiating CPAP treatment at ESC congress 2022. Purpose Our aim in this study is to estimate the antihypertensive effect after initiating CPAP treatment, also estimate the differences of CPAP effect by focusing on Japanese non-obese body. Methods All patients were conducted full night polysomnography. One-hundred eighty patients showed obstructive SDB {apnea hypopnea index (AHI) &amp;gt;20/hour}, and CPAP treatment were initiated. We divided into three groups by using body mass index (BMI). Group A showed BMI &amp;lt; 25 kg/m2 (n = 59). Group B showed 25 ≦BMI &amp;lt; 30 kg/m2 (n = 68), and Group C showed 30 ≦ BMI kg/m2 (n = 53). If patients had already taken blood pressure-lowering agents, they had to continue blood pressure-lowering agents without changing other agents or dose intensification. According to Japanese society of hypertension guidelines for the managements of hypertension 2019 (JSH2019), we estimated the improvement of blood pressure to assess effectiveness of CPAP treatment after six-month follow up. Results The study group consisted of 180 SDB patients (152 males, 28 females). The mean age was 53 ± 12 years. Figure 1 showed polysomnographic data before initiating CPAP treatment. Group A was significantly lower apnea hypopnea index (AHI) than in Group B and C (p &amp;lt; 0.0001). Figure 2 showed the changes of blood pressure after initiating CPAP treatment (six-month). There was no significant difference respect to changes of systolic blood pressure (ΔSBP), but Group A showed the tendency for worsening SBP compared with other groups. Conclusions We could estimate that CPAP treatment had only limited effects in antihypertensive effect for Japanese patients, who especially had non-obese body and lower AHI level. We need the strict blood pressure follow up for patient with SDB after initiating CPAP treatment.Figure

Nurse practitioner-led, virtually delivered, motivational enhancement and device support intervention to improve CPAP adherence: A feasibility randomized control trial

BackgroundEvidence indicates continuous positive airway pressure (CPAP) therapy improves several important patient-centered outcomes. However, adherence to this safe and effective intervention remains poor. ObjectivesAssess nine feasibility outcomes of a nurse practitioner-led, virtually delivered motivational enhancement and device support (MENDS) intervention to improve CPAP adherence in adults with Obstructive Sleep Apnea (OSA). Secondary aims compared the changes in CPAP adherence to patient-reported outcomes, patient activation, and perceived self-efficacy. MethodsThis two-group feasibility randomized controlled trial included 29 patients newly diagnosed with OSA and prescribed CPAP therapy. The study was conducted from July 2020 through December 2021 at a midwestern sleep/pulmonary clinic. Participants were randomized to the MENDS intervention group (n=14) (30-45 minute interactive tele-discussions on weeks 2, 4, 6, and 8) or to the usual care (n=15) group. Feasibility, patient-reported outcomes, and behavioral constructs were measured at baseline and 12 weeks. CPAP adherence was measured weekly. ResultsFeasibility of the MENDS sessions was demonstrated (56 sessions offered, 52 completed remotely without technical difficulties) with minimal participant attrition and no missing CPAP data. Generalized linear mixed models showed no statistically significant time-by-group interactions on adherence or patient-reported outcomes. Higher adherence and lower CPAP apnea-hypopnea index (AHI) scores were associated with declines in pre- to post-changes in fatigue and sleep disturbance. Lower CPAP AHI scores were associated with pre- to post-decreases in PROMIS Anxiety scores (r=.532, p=.005). ConclusionThe virtual MENDS intervention was feasible. Higher CPAP adherence and lower AHI levels led to positive improvements in fatigue, sleep disturbance, and anxiety.

Sleep parameters in patients with chronic hypersensitivity pneumonitis: a case-control study.

To compare patients with chronic hypersensitivity pneumonitis (cHP) and controls with normal spirometry in terms of their sleep characteristics, as well as to establish the prevalence of obstructive sleep apnea (OSA) and nocturnal hypoxemia. Secondary objectives were to identify factors associated with OSA and nocturnal hypoxemia; to correlate nocturnal hypoxemia with the apnea-hypopnea index (AHI) and lung function, as well as with resting SpO2, awake SpO2, and SpO2 during exercise; and to evaluate the discriminatory power of sleep questionnaires to predict OSA. A total of 40 patients with cHP (cases) were matched for sex, age, and BMI with 80 controls, the ratio of controls to cases therefore being = 2:1. The STOP-Bang questionnaire, the Epworth Sleepiness Scale (ESS), the Pittsburgh Sleep Quality Index, the Berlin questionnaire and the Neck circumference, obesity, Snoring, Age, and Sex (NoSAS) score were applied to all cases, and both groups underwent full-night polysomnography. The patients with cHP had longer sleep latency, lower sleep efficiency, a lower AHI, a lower respiratory disturbance index, fewer central apneas, fewer mixed apneas, and fewer hypopneas than did the controls. The patients with cHP had significantly lower nocturnal SpO2 values, the percentage of total sleep time spent below an SpO2 of 90% being higher than in controls (median = 4.2; IQR, 0.4-32.1 vs. median = 1.0; IQR, 0.1-5.8; p = 0.01). There were no significant differences between cases with and without OSA regarding the STOP-Bang questionnaire, NoSAS, and ESS scores. The prevalence of OSA in cHP patients (cases) was high, although not higher than that in controls with normal spirometry. In addition, cases had more hypoxemia during sleep than did controls. Our results suggest that sleep questionnaires do not have sufficient discriminatory power to identify OSA in cHP patients.

Upper airway morphology in adults with positional obstructive sleep apnea

PurposeTo compare the anatomical balance and shape of the upper airway in the supine position between adults with positional obstructive sleep apnea (POSA) and adults with non-positional OSA (NPOSA).MethodsAdults diagnosed with OSA (apnea-hypopnea index (AHI) > 10 events/h) were assessed for eligibility. POSA was defined as the supine AHI more than twice the AHI in non-supine positions; otherwise, patients were classified as NPOSA. Cone beam computed tomography (CBCT) imaging was performed for every participant while awake in the supine position. The anatomical balance was calculated as the ratio of the tongue size to the maxillomandibular enclosure size. The upper airway shape was calculated as the ratio of the anteroposterior dimension to the lateral dimension at the location of the minimal cross-sectional area of the upper airway (CSAmin-shape).ResultsOf 47 participants (28 males, median age [interquartile range] 56 [46 to 63] years, median AHI 27.8 [15.0 to 33.8]), 34 participants were classified as having POSA (72%). The POSA group tended to have a higher proportion of males and a lower AHI than the NPOSA group (P = 0.07 and 0.07, respectively). After controlling for both sex and AHI, the anatomical balance and CSAmin-shape were not significantly different between both groups (P = 0.18 and 0.73, respectively).ConclusionAdults with POSA and adults with NPOSA have similar anatomical balance and shape of their upper airway in the supine position.Trial registrationThis study was registered with the Australian New Zealand Clinical Trials Registry (ANZCTR Trial ACTRN12611000409976).

Exploring the Impact of Positional Sleep Apnea in a Turkish Population: Unveiling the Untold Story.

BACKGROUND The present study aimed to investigate the risk factors associated with demographical, clinical and polysomnographic features of positional sleep apnea through different criterion of positional sleep apnea (POSA vs e-POSA) in a large patient cohort from a tertiary referral center MATERIAL AND METHODS A total of 782 OSA patients who were further diagnosed with POSA (total: n=470, e-POSA: n=204) or non-POSA (n=312) based on apnea-hypopnea index (AHI) events by overnight polysomnography were included. Demographical, clinical, and polysomnographic characteristics were recorded, while independent predictors of POSA and e-POSA were determined via linear regression analysis. RESULTS Severe OSA (AHI ≥30/h) was less common in the POSA (33.4% vs 71.5%, P<0.001) and e-POSA (9.8% vs 62.3%, P<0.001) groups than in the non-POSA and non-e-POSA groups, respectively. For POSA and e-POSA, male sex (OR 2.195, P<0.001 and OR 2.021, P=0.004, respectively), low body mass index (BMI; OR 0.932, P<0.001 and OR 0.948, P=0.006), low AHI (OR 0.954 and OR 0.902, P<0.001 for each), and less desaturation (T90%, OR 0.972 and OR 0.968, P<0.001 for each) were the common statistically significant predictors. Younger age was an independent predictor of POSA (OR 0.97, P=0.003). POSA (median 20.4 s) and e-POSA (20.5 s) groups demonstrated similar apnea-hypopnea durations (min) as the non-POSA (median 21.1 s) group. CONCLUSIONS Our findings revealed that male sex and lower values of BMI, AHI, and desaturation were common determinants of POSA and e-POSA, while younger age independently predicted POSA. POSA and e-POSA had similar clinical and polysomnographic characteristics and shared the unvaried hypoxic burden.

Comparison of efficacy and usability of custom mandibular advancement devices fabricated with the conventional method and digital workflow: A pilot clinical study.

To compare the effects of fabricating methods of custom monoblock mandibular advancement devices (MADs) on usability and efficacy in patients with mild and moderate obstructive sleep apnea (OSA). Digitally fabricated custom MADs (dMADs) were produced for 11 OSA participants who had previously used conventionally fabricated custom MADs (cMADs). The participants answered a modified usability questionnaire for both MADs, and the average scores that were given to the questionnaire were evaluated by age, sex, and body mass index (BMI), and the scores of cMADs and dMADs were compared. After 6 months of usage of each MAD, the apnea-hypopnea index (AHI), mean and lowest oxygen saturations, and total sleep time were measured for efficacy assessment. Data were analyzed with Cronbach's alpha, Mann-Whitney U, Kruskal-Wallis, Wilcoxon signed-rank, one-way repeated measures analyses of variance, and Bonferroni tests (α = 0.05). Cronbach's alpha was found at 0.834 and 0.722 for the conventional and digital questionnaires, respectively. The usability scores of the dMADs were significantly higher than those of cMADs (p = 0.013). There was no difference in usability scores in terms of sex or BMI (p>0.05). No statistically significant difference was found for cMAD (p = 0.113) among age groups; however, there was a significant difference for dMAD (p = 0.046). The AHI, mean, and lowest oxygen saturation values were significantly affected by MAD usage (p<0.001). However, total sleep time values did not differ after the MAD treatments (p>0.05). Significantly lower AHI and significantly higher lowest oxygen saturation values were observed with dMAD, while both appliances led to similar results for mean oxygen saturation and total sleep time values (p>0.05). Participant usability scores were higher for digitally manufactured MADs than conventionally manufactured MADs. However, both conventional and digital MADs were found effective in decreasing the AHI levels and increasing the mean and lowest oxygen saturation values of the participants.

0428 Area Deprivation Index, Sleep Disordered Breathing and Incident Major Cardiovascular Events and Mortality in a Large Cohort

Abstract Introduction Epidemiological studies have shown a strong association between sleep disordered breathing (SDB) and increased incidence of cardiovascular morbidity and mortality, however, to date, the variation of SDB across the socioeconomic spectrum and how this variation is associated with major cardiovascular events (MACE) and mortality is unknown. Methods A retrospective cohort study was conducted using the Cleveland Clinic Sleep Laboratory Registry and included MACE-naïve adults who underwent polysomnography or home sleep apnea test. Area Deprivation Index (ADI), a biomarker of neighborhood socioeconomic disadvantage, was calculated by national rank, i.e. 25th, 50th and 75th percentiles; higher quartiles reflecting greater deprivation (ADI-Q1,2,3,4). ANOVA with pairwise testing was used to compare variables across ADI quartiles. Composite of MACE included heart failure, stroke, atrial fibrillation and myocardial Infarction or death. Cox proportional hazard regression models tested the association between ADI and SDB-measures of apnea hypopnea Index (AHI) and sleep-related hypoxia (total sleep time spent&amp;lt; 90%SaO2, T90) with MACE. Covariates included demographics, medications, smoking status, Elixhauser Comorbidity Score, and comorbidities. Censoring was sleep study date or last encounter in the electronic medical record. Asterisk (*) indicates statistical significance after pairwise testing. Interaction testing used competing risk (Fine &amp; Gray method). Results Of 72,443 patients, those living in ADI-Q4, compared to those living in ADI-Q1, were more likely to be younger (*48.9± 3.9 vs 50.4±14.2), female (*59.9% vs 40.1%), African American (*49% vs 4.9%), with lower AHI (*13.5[5.4, 34.1]vs15.1[6.2,33.1]) and lower degree of hypoxia (T90:*2.9[0.40,19.01] vs 4.4[0.50, 25.6]). Model adjusted risk for MACE or death for those in ADI-Q4 was 79% greater than ADI-Q1 (HR=1.79,95%CI:1.51-2.12,p&amp;lt; 0.0001). Likewise, increased AHI severity and T90 above median were associated with 13% and 21% increased risk of MACE or death (HR=1.13,95%CI:1.07-1.19,p&amp;lt; 0.0001; HR=1.21,95%CI:1.51-1.27,p&amp;lt; 0.001) respectively. Interactions were observed between T90 and ADI with the risk of MACE (p=0.0016) or death (p=0.0051). Conclusion Living in areas of increasing socioeconomic deprivation confers an increased risk for MACE or death. Moreover, sleep-related hypoxia seems to modify this association. ADI appears to be useful to identify populations at risk for worse cardiovascular outcomes and to inform risk stratification for targeted interventions to decreased sleep-health disparities. Support (if any)

Home NIV treatment quality in patients with chronic respiratory failure having participated to the French nationwide telemonitoring experimental program (The TELVENT study)

BackgroundThe ETAPES program is a national telemedicine experiment conducted in France between 2018 and 2023 to investigate whether home non-invasive ventilation (NIV) telemonitoring improves healthcare pathways in patients with chronic respiratory failure (CRF) and impacts healthcare organization. The program provides a combination of therapeutic education and NIV telemonitoring with data processed by an algorithm generating alerts. The TELVENT study objective was to analyze the evolution of ventilation quality in patients included in the ETAPES program. MethodsMulticentric cohort study on patients undergoing long-term NIV included in the ETAPES program between September 2018 and December 2020 and who did not refuse the use of their data for this research. Data were obtained from homecare provider databases. The primary endpoint was to attain successful NIV treatment, which was determined by a combination of daily NIV usage for > 4 h per day, low leaks, and a low apnea-hypopnea index (AHI) identified by the NIV device. Respiratory disability was assessed using the DIRECT questionnaire. Results329 patients were included in the study of which 145 had COPD and 83 had started NIV and ETAPES within one-month delay. Approximately 25% of patients did not achieve the criteria for successful NIV at ETAPES entry. The proportion of patients with successful NIV treatment increased to 86.8% at six months (p = 0.003, Cochran-Armitage trend test) regardless of NIV history and continued to increase at 12 months in newly equipped NIV patients (93.8%, at month 12, p = 0.0026 for trend test). Over time, a significant increase in NIV use and compliance was observed, while AHI significantly decreased in the overall population. No significant decrease was observed for non-intentional leaks. Approximately 4.9 alerts were generated per patient per 6 months. Their number and type (low NIV use, high AHI or leaks) differed among patients based on their NIV history. Respiratory disability score decreased over time compared with baseline. ConclusionThe TELVENT study highlights the importance of remote NIV monitoring to rapidly identify patients with unsuccessful ventilation. The combination of remote monitoring and therapeutic education may improve the quality of home NIV, especially in the first months of treatment.

Pediatric Obstructive Sleep Apnea and Sickle Cell Disease: Demographic and Polysomnographic Features.

Obstructive sleep apnea (OSA) is prevalent in children with sickle cell disease (SCD). We compared the demographic, clinical, and polysomnographic characteristics of children with and without SCD. This retrospective chart review included children with SCD (n=89) and without SCD (n=192) ages 1-18 years referred for polysomnography (PSG) for OSA. Children with SCD were predominantly African American when compared to the non-SCD group (95% vs. 28%, p < 0.001). The non-SCD group had a higher BMI z-score (1.3 vs. 0.1, p < 0.001) and a higher percentage of patients classified as obese (52% vs. 13%, p < 0.001). In children with SCD, 43% had severe OSA and 5.6% had no OSA. In the non-SCD group, 67% had severe OSA and 4.7% had no OSA. The SCD compared to the non-SCD group had a lower mean apnea-hypopnea index (AHI) (13.6 vs. 22.4, p=0.006) but a higher percent sleep time below 90% oxygen saturation (10.5% vs. 3.5%, p < 0.001). Predicted probability for severe OSA in children with SCD decreased with increasing age (OR=0.81, 95% CI: 0.70-0.93). Children with SCD referred for PSG are at risk for severe OSA. Compared with the non-SCD group, most children were African American with lower rates of obesity and lower AHIs but longer periods of nocturnal hypoxemia. Likelihood for severe OSA decreased with increasing age for the SCD group. 3, retrospective comparative study Laryngoscope, 133:1766-1772, 2023.

Clinical phenotypes of obstructive sleep apnea: a cluster analysis based on sleep perception and sleep quality

PurposeTo determine obstructive sleep apnea (OSA) phenotypes using cluster analysis including variables of sleep perception and sleep quality and to further explore factors correlated with poor sleep quality in different clusters.MethodsThis retrospective study included patients with OSA undergoing polysomnography (PSG) between December 2020 and April 2022. Two-step cluster analysis was performed to detect distinct clusters using sleep perception variables including discrepancy in total sleep time (TST), sleep onset latency (SOL), and wakefulness after sleep onset (WASO); objective TST, SOL, and WASO; and sleep quality. One-way analysis of variance or chi-squared tests were used to compare clinical and PSG characteristics between clusters. Binary logistic regression analyses were used to explore factors correlated with poor sleep quality.ResultsA total of 1118 patients were included (81.6% men) with mean age ± SD 43.3 ± 13.1 years, Epworth sleepiness score, 5.7 ± 4.4, and insomnia severity index 3.0 ± 2.4. Five distinct OSA clusters were identified: cluster 1 (n = 254), underestimated TST; cluster 2 (n = 158), overestimated TST; cluster 3 (n = 169), overestimated SOL; cluster 4 (n = 155), normal sleep discrepancy and poor sleep quality; and cluster 5 (n = 382), normal sleep discrepancy and good sleep quality. Patients in cluster 2 were older, more commonly had hypertension, and had the lowest apnea–hypopnea index and oxygen desaturation index. Age and sleep efficiency were correlated with poor sleep quality in clusters 1, 2, and 5, and also AHI in cluster 2.ConclusionSubgroups of patients with OSA have different patterns of sleep perception and quality that may help us to further understand the characteristics of sleep perception in OSA and provide clues for personalized treatment.

The effect of head rotation on OSA is associated with disease severity: a cross-sectional study.

Head rotation is an effective positional therapy for obstructive sleep apnea (OSA). However, not all OSA patients benefit from head rotation. This study aimed to explore the clinical phenotype of OSA patients who can benefit from head rotation. We performed a retrospective review of 184 consecutive OSA patients who underwent polysomnography. Head rotation in supine position was determined by high-quality video recording. According to the changes in apnea-hypopnea index (AHI) after head rotation, OSA patients were divided into two groups: patients with response to head rotation(HR) and patients without response to head rotation(NHR). Demographic factors and overnight polysomnography were analyzed. Compared with NHR group, HR group showed significantly lower AHI (51.8 vs 31.5, p < 0.01), time spent with oxygen saturation below 90%(5.3% vs 0.51%, p < 0.01), and higher lowest oxygen saturation(80% vs 86%, p < 0.05). Logistic regression showed that AHI was an independent factor to predict the decrease of AHI in head rotation (OR 0.985, 95% CI 0.970-0.979, p < 0.05). Among mild to moderate group (AHI < 30/h), severe group (30/h ≤ AHI < 60/h), and extremely severe group (AHI ≥ 60/h), the percentage decrease of AHI in head rotation was 18.5%, 9.5%, and 2.6%, respectively. Surprisingly, the percentage decrease of AHI of 6 responders in mild to moderate group was more than 50%. OSA patients who respond well to head rotation have less severe disease, and patients with mild to moderate OSA are more likely to improve and benefit from this position. Our research provides potential strategies and insights into the individual treatment of OSA patients.