Herold, Daniel L.

Abstract Introduction Sleep apnea impacts 50-70% of patients following stroke. Treatment of obstructive sleep apnea (OSA) in patients with stroke using continuous positive airway pressure (CPAP) has been recommended in recent American Heart Association/American Stroke Association guidelines. However, stroke patients poorly tolerate CPAP and often remain untreated. There is a paucity of data regarding alternative treatments such as oral appliance therapy (OAT) in stroke patients. We hypothesized that oral appliance therapy would be an efficacious option in the treatment of OSA in stroke patients, defined as a ≥50% reduction in apnea-hypopnea index (AHI) or oxygen desaturation index (ODI) or reduction in total AHI or ODI to < 10/h. Methods We performed a retrospective review of patients with OSA treated with OAT at our institution and had a history of stroke prior to receiving the oral appliance. Chart abstraction included demographic data, stroke type, sleep apnea diagnostic data, and efficacy data. Efficacy data included repeat sleep studies, overnight oximetry, patient reported outcomes, and subjective benefit, as available. Results 23 patients (52% female, mean age 63) were identified with a history of stroke prior to use of OAT for OSA. Baseline parameters (mean, SD) included BMI (30.8, 4.2), AHI (15.0, 10.6), and Epworth Sleepiness Scale (ESS) (9.3, 5.4). Post-treatment parameters included (mean, SD) BMI (30.1, 4.2), AHI (12.4, 12.0), and ESS (6.5, 4.0). 12 patients had both baseline and follow-up sleep studies performed which met criteria for AHI efficacy of OAT in 7 of 12 (58%). Wilcoxon signed rank exact test demonstrated improvement in median AHI of 9.3 (0.40-17.6, p< 0.05) among these 12 patients. 2 of 3 (67%) patients with overnight oximetry follow-up met criteria for ODI efficacy of OAT. Of 8 patients with only subjective follow-up, 6 (75%) reported subjective improvement and 2 (25%) did not tolerate the device. Conclusion This study demonstrated that oral appliance therapy is efficacious in reducing the AHI by at least 50% or to a value below 10 in a majority of patients. Oral appliance therapy may be a viable alternative to CPAP in selected OSA patients with a history of stroke. Support (if any) No support

Abstract Introduction The SleepImage is an HSAT device (sHSAT) that uses photoplethysmography and oxygen saturation data to generate an apnea hypopnea index (AHI). This sHSAT has been FDA cleared as a software-as-a-medical-device for use in children 2 years and older for diagnosing obstructive sleep apnea (OSA). To our knowledge this sHSAT has not been tested on children concurrent with the gold standard polysomnography (PSG). Methods This study evaluated 50 children 2-6 years of age with tonsillar hypertrophy and OSA symptoms with sHSAT during simultaneous in-lab PSG. Aims were to determine the technical feasibility of using sHSAT in this population and to compare sHSAT results to PSG. The primary endpoint was AHI by sHSAT compared to AHI by PSG and presence of OSA. Sensitivity analysis was performed for presence or absence of OSA diagnosis based on sHSAT versus PSG. Bland-Altman and concordance correlation calculations were used for comparisons. Results 50 patients, median age 4 (IQR 3-5), met criteria; 39 completed PSG and HSAT. The sensitivity with sHSAT for OSA prevalence based on proprietary categorization was 94.1%, specificity 22.7%, LR+ 1.22, and LR- 0.26, with PSG OSA prevalence of 43.6%. There was a 9% sHSAT total failure rate, and the device frequently fell off, resulting in TST difference of -226.9 ±182.8 min between sHSAT and PSG. PSG was trimmed to include only segments where HSAT was confirmed to be on before comparisons. Concordance correlation coefficient between sAHI and AHI-PSG was 0.52. The Bland-Altman analysis comparing sAHI and PSG AHI revealed a mean difference of 0.73 (95% confidence limits: -3.47 to 4.93). Considering only obstructive events, the Bland-Altman the sAHI vs the AHI-PSG shows a mean difference of 1.52 (95%CI -5.40 to 8.44). Conclusion This pilot study demonstrated challenges with feasibility in using the sHSAT in this age group given likelihood of technical difficulties leading to absent or truncated data. When compared with PSG, sHSAT demonstrated a high false-positive rate for diagnosis of OSA, particularly concerning if guiding surgical management. This topic is of considerable importance to the practice of pediatric sleep medicine; further investigation of technological advances in this area is imperative. Support (if any)

Abstract Introduction The definition of respiratory events has evolved over decades. The current American Academy of Sleep Medicine scoring manual recommends hypopneas be defined by a ≥ 30% airflow reduction with either ≥ 3% desaturation or an arousal, while the prior “recommended” criteria of a ≥ 30% airflow reduction and associated ≥ 4% oxygen desaturation (with no requirement of arousal) was changed to “optional”. Consequently, events previously characterized as a respiratory effort related arousal (RERA) may now be defined as a 3% hypopnea. We hypothesized that while the 3% apnea-hypopnea index (3%AHI) will be higher than the 4%AHI, the 3%AHI will be similar to the 4% respiratory disturbance index (4%RDI), and that the measurement of RERAs under 3% scoring criteria will be clinically insignificant. Methods We prospectively collected 70 consecutive in-lab polysomnography results in 4 adult age groups. We re-scored the respiratory events utilizing the 3% hypopnea rule, and compared the differences between 3% and 4% scoring criteria. Results Among the 70 studies (mean age 50, males 46%), the 3%AHI was significantly higher than the 4%AHI (+9.247 ± 1.161, p< 0.001). This was mainly due to increased hypopnea events (+10.313 ± 1.617, p< 0.001). The 3%AHI was significantly different from the 4%RDI (+7.096 ± 1.133, p< 0.001). There were no significant differences between the 3% and 4% RERA indices, with both values being minimal. Results were similar in both diagnostic and titration phases of testing. Conclusion As previously shown, utilizing the 3% hypopnea rule results in an increased AHI. Most of this difference is related to hypopneas with negligible influence of RERAs. This may lead to increased diagnosis and severity of sleep-disordered breathing in the adult population, and potentially be associated with payer ramifications. Our findings demonstrated negligible RERA indices on average with either rule, thus calling into question the clinical significance of this index in most patients. Support (if any) NA