Early recognition and treatment of OSA in hospitalized patients and its impact on health care utilization in rural population: a real-world study.

STUDY OBJECTIVES: Obstructive sleep apnea (OSA) is a highly prevalent, yet underdiagnosed, condition. Due to its adverse impact on risk for cardiopulmonary disorders, there is interest in proactive screening of OSA in hospitalized patients. We studied the long-term outcome of such screened patients who were initiated on positive airway pressure therapy. METHODS: Hospitalized patients who screened positive for OSA and were confirmed with postdischarge polysomnography were dichotomized by positive airway pressure therapy adherence and followed for a period of 12 months to evaluate for the composite end point of hospital readmissions and emergency department visits for cardiopulmonary reasons. Cost analysis between the 2 groups was also conducted. RESULTS: A total of 2,042 hospitalized patients were assessed for OSA as part of a hospital sleep medicine program from August 2019-June 2023. Of these, 293 patients were diagnosed with OSA and prescribed positive airway pressure therapy. Of these 293 patients, 108 were adherent to therapy and 185 were nonadherent. The overall characteristics of the groups included a mean (standard deviation) age of 58 years (12.82), mean body mass index (kg/m2) of 39.72 (10.71), 57% male sex, and apnea-hypopnea index of 25.49 (26). Of the patients, 78%, 41%, and 43% had hypertension, congestive heart failure, and diabetes mellitus, respectively. The composite end point of hospital readmissions and emergency department visits for cardiovascular and pulmonary reasons was significantly higher in the nonadherent group than in the adherent group (hazard ratio, 1.24; 95% confidence interval, 1-1.54) (P = .03). The cost of care for both hospital billing as well as professional billing was higher for the nonadherent group ($1,455.60 vs $1,723.50, P = .004 in hospital billing cost and $130.90 vs $144.70, P < .001 in professional billing). Length of stay was higher for nonadherent patients (2.7 ± 5.1 days vs 2.3 ± 5.9 days). CONCLUSIONS: Hospitalized patients diagnosed with OSA and adherent to therapy have reduced readmissions and emergency department visits for cardiopulmonary reasons 12 months after discharge. Adherent patients have reduced cost of health care and length of stay during hospitalizations. CITATION: Sharma S, Stansbury R, Srinivasan P, et al. Early recognition and treatment of OSA in hospitalized patients and its impact on health care utilization in rural population: a real-world study. J Clin Sleep Med. 2024;20(8):1313-1319.

Incidence of pediatric narcolepsy diagnosis and management: evidence from claims data.

STUDY OBJECTIVES: The purpose of this study was to characterize the incidence of pediatric narcolepsy diagnosis, subsequent care, and potential sociodemographic disparities in a large US claims database. METHODS: Merative MarketScan insurance claims (n = 12,394,902) were used to identify youth (6-17 years of age) newly diagnosed with narcolepsy (International Classification of Diseases, 10th revision codes). Narcolepsy diagnosis and care 1 year postdiagnosis included polysomnography with Multiple Sleep Latency Test, pharmacological care, and clinical visits. Potential disparities were examined by insurance coverage and child race and ethnicity (Medicaid-insured only). RESULTS: The incidence of narcolepsy diagnosis was 10:100,000, primarily type 2 (69.9%). Most diagnoses occurred in adolescents with no sex differences, but higher rates in Black vs White youth with Medicaid. Two thirds had a prior sleep disorder diagnosis and 21-36% had other co-occurring diagnoses. Only half (46.6%) had polysomnography with Multiple Sleep Latency Test (± 1 year postdiagnosis). Specialty care (18.9% pulmonary, 26.9% neurology) and behavioral health visits were rare (34.4%), although half were prescribed stimulant medications (51.0%). Medicaid-insured were 86% less likely than commercially insured youth to have any clinical care and 33% less likely to have polysomnography with Multiple Sleep Latency Test. CONCLUSIONS: Narcolepsy diagnoses occurred in 0.01% of youth, primarily during adolescence, and at higher rates for Black vs White children with Medicaid. Only half overall had evidence of a diagnostically required polysomnography with Multiple Sleep Latency Test, underscoring potential misdiagnosis. Many patients had co-occurring conditions, but specialty and behavioral health care were limited. Results suggest misdiagnosis, underdiagnosis, and limited narcolepsy treatment, as well as possible disparities. Results highlight the need to identify determinants of evidence-based pediatric narcolepsy diagnosis and management. CITATION: Tang SH, Min J, Zhang X, et al. Incidence of pediatric narcolepsy diagnosis and management: evidence from claims data. J Clin Sleep Med. 2024;20(7):1141-1151.

Validation of the Survey of Sleep Quality in the Pediatric Intensive Care Unit (SSqPICU).

STUDY OBJECTIVES: Observational data suggest pediatric intensive care unit-related sleep and circadian disruption (PICU-SCD) affects many critically ill children. Multicenter trials exploring PICU-SCD have been impractical because measuring sleep in this setting is challenging. This study validates a questionnaire for caregivers to describe children's sleep in the PICU. METHODS: This prospective, multicenter, case-control study enrolled caregivers of children in 4 PICUs or in a hospital-based sleep laboratory (controls). Survey items were compiled from validated adult ICU and pediatric in- and outpatient sleep questionnaires. Control responses were compared to polysomnography to determine accuracy. A score was calculated by summing the level of disruption of sleep timing, duration, efficiency, quality, and daytime sleepiness and irritability. RESULTS: In responses from 152 PICU and 61 sleep laboratory caregivers, sleep survey items had acceptable internal reliability (α = 0.75) and reproducibility on retest surveys (interclass correlation coefficient > 0.600). Caregivers could not assess sleep of sedated children. Factor analysis identified 3 subscales of PICU-SCD. Control parents had good agreement with polysomnography sleep onset time (κ = 0.823) and sleep onset latency (κ = 0.707). There was a strong correlation between sleep scores derived by parental reporting to those by polysomnography (r = .844, P < .001). Scores had a linear association with caregiver-reported child sleep quality. There were no site-specific differences in sleep quality. Nearly all respondents found the survey easy to understand and of appropriate length. CONCLUSIONS: The Survey of Sleep Quality in the Pediatric Intensive Care Unit provides a reliable, accurate description of inpatient sleep disruption in nonsedated children, generalizable across PICUs. It offers practical means to quantify PICU-SCD daily in future investigations. CITATION: Hassinger AB, Mody K, Gomez R, et al. Validation of the Survey of Sleep Quality in the Pediatric Intensive Care Unit (SSqPICU). J Clin Sleep Med. 2024;20(8):1251-1258.

Insomnia with objective but not subjective short sleep duration is associated with incident cardiovascular and/or cerebrovascular disease.

STUDY OBJECTIVES: Insomnia with objective short sleep duration (ISSD) has been associated with cardiometabolic outcomes (ie, hypertension or diabetes). We examined whether ISSD, based on objective or subjective sleep measures, is associated with more serious health problems, such as incident cardiovascular and/or cerebrovascular disease (CBVD). METHODS: 1,258 men and women from the Penn State Adult Cohort (56.9% women, aged 48.3 ± 12.95 years) without CBVD at baseline were followed up for 9.21 ± 4.08 years. The presence of CBVD was defined as a history of diagnosis or treatment of heart disease and/or stroke. Insomnia was defined as a complaint of insomnia with a duration ≥ 1 year. Poor sleep was defined as a complaint of difficulty falling asleep, staying asleep, nonrestorative sleep, or early morning awakening. Objective short sleep duration was defined as < 6 hours' sleep based on polysomnography. Subjective short sleep duration was based on the median self-reported percentage of sleep time (ie, < 7 hours). RESULTS: Compared with normal sleepers with normal sleep duration, the highest risk of incident CBVD was in the ISSD group (odds ratio = 2.46, 95% confidence interval = 1.04-5.79), and the second highest was in normal sleepers with short sleep duration (odds ratio = 1.68, 95% confidence interval = 1.11-2.54). The risk of incident CBVD was not significantly increased in poor sleepers or those with insomnia with normal sleep duration. Finally, insomnia with subjective short sleep duration was not associated with increased incident CBVD. CONCLUSIONS: These data add to the cumulative evidence that ISSD, based on objective but not subjective measures, is the more severe biological phenotype of the disorder associated with incident CBVD. CITATION: Pejovic S, Vgontzas AN, Fernandez-Mendoza J, et al. Insomnia with objective but not subjective short sleep duration is associated with incident cardiovascular and/or cerebrovascular disease. J Clin Sleep Med. 2024;20(7):1049-1057.

The impact of study type and sleep measurement on oxygen desaturation index calculation.

STUDY OBJECTIVES: The oxygen desaturation index (ODI) is an important measure of sleep-disordered breathing during polysomnography (PSG); however, the AASM Manual (V3) does not specify whether to include oxygen desaturations occurring during wake epochs. Additionally, an ODI obtained from PSG can differ from an ODI using home sleep apnea tests (HSATs) that do not measure sleep, hampering diagnostic and treatment decision reliability. This study aimed to (1) compare an ODI that included all desaturations with an ODI that excluded desaturations occurring during wake epochs in PSG and (2) compare ODIs obtained from PSG with HSAT. METHODS: 100 consecutive PSGs for investigation of obstructive sleep apnea were compared. ODIs were calculated including all desaturations (ODIall) and by excluding desaturations entirely during wake epochs (ODIsleep). Additionally, we compared ODIall with an ODI calculated using monitoring time as the denominator (ODIHSAT). RESULTS: The median (interquartile range) 3% ODI for ODIall was 22.8 (13.1, 44.1) events/h and ODIsleep was 17.6 (11.5, 35.2) events/h (median difference: -3.9 events/h [-8.2, -0.9]; 21.0% [8.7%, 33.2%]). This discrepancy was larger with increasing ODI and decreasing sleep efficiency. The ODIHSAT was 17.4 (11.3, 35.2) events/h and the median reduction in ODIHSAT vs ODIall was -4.5 (-10.9, -2.0) events/h (21.6%; 11.1%, 33.8). CONCLUSIONS: ODI was significantly reduced when desaturations in wake epochs were excluded, and when ODI was based on monitoring time rather than sleep time, with the potential for underestimation of disease severity. Results suggest that ODI can differ substantially depending on the calculation and study type used, and that there is a need for standardization to ensure consistent diagnosis and treatment outcomes. CITATION: Whenn CB, Wilson DL, Ruehland WR, Churchward TJ, Worsnop C, Tolson J. The impact of study type and sleep measurement on oxygen desaturation index calculation. J Clin Sleep Med. 2024;20(5):709-717.

Visceral Adipose Tissue Indices Independently Correlated with Obstructive Sleep Apnea in Patients with Type 2 Diabetes.

AIMS: We aimed to explore whether visceral adiposity indices were significantly associated with obstructive sleep apnea (OSA) in type 2 diabetes (T2DM) patients. METHODS: 100 patients with T2DM who underwent overnight polysomnography were analyzed in this study. Anthropometric data, lipid profiles, and glycemic parameters were recorded. Body fat percentage (BFP) and visceral adipose tissue area (VAT area) were collected from a whole body scan using dual-energy X-ray absorptiometry (DXA). Multivariate logistic regression analysis was performed to explore the associations of AHI with BFP, VAT area, and CVAI. RESULTS: The prevalence rate of OSA was 80%, and the mean (±SD) of age was 47.0 ± 13.6 years. Apnea-hypopnea index (AHI) was significantly and positively associated with either VAT area (r = 0.433, p ≤ 0.001) or Chinese visceral adiposity index (CVAI) (r = 0.355, p ≤ 0.001) but not for BFP (r = 0.107, p = 0.294). Multivariate logistic regression analyses showed that VAT area and CVAI were significantly associated with increased risk of OSA, and the adjusted ORs were (95% CI) 1.025 (1.003-1.047, p = 0.023) and 1.018 (1.002-1.034, p = 0.030), respectively. However, there was no significant association between BFP and increased risk of OSA. CONCLUSIONS: VAT area and CVAI were independent risk factors of OSA in the patients with T2DM.

Preliminary study on clinical characteristics of Chinese patients with positional obstructive sleep apnea.

PURPOSE: The objective of this study was to evaluate the prevalence, the clinical characteristics, and the possible predictors of Chinese patients with positional obstructive sleep apnea (POSA) according to the Amsterdam Positional Obstructive Sleep Apnea Classification (APOC). METHODS: A retrospective study in the sleep unit of Peking Union Medical College Hospital was conducted to analyze the clinical and polysomnography data of Chinese patients with obstructive sleep apnea (OSA). RESULTS: Of 372 patients with OSA, 54% met the APOC criteria for POSA. The prevalence of POSA was significantly higher in women with OSA than in men. Chinese patients with POSA had a lower apnea-hypopnea index, oxygen desaturation index, and the percentage of time spent at oxygen saturation below 90% in total sleep time; and a higher mean oxygen saturation (SaO2) and minimum SaO2 during sleep, which were remarkable in the APOC I group. By multivariate logistic regression analyses, the higher mean SaO2 (≥95%) during sleep and mild and moderate OSA were positive predictors of POSA. Mild and moderate OSA was the independent predictor of POSA in women. Higher mean SaO2 (≥95%) during sleep was the independent predictor of POSA in men. CONCLUSION: According to the APOC, the prevalence of POSA is high in Chinese patients with OSA, especially in women. Chinese patients with POSA had less severe OSA and a lower degree of nocturnal hypoxia, which was remarkable in the APOC I group.

Novel screening model of obstructive sleep apnea for snorers with suspected NAFLD undergoing liver sonography.

BACKGROUND/AIMS: Given the increased incidence of obstructive sleep apnea (OSA) among patients with nonalcoholic fatty liver disease (NAFLD), noninvasive screening methods are urgently needed to screen for OSA risk in these patients when conducting an office-based assessment of hepatic steatosis. Therefore, we investigated the controlled attenuation parameter (CAP) and hepatic steatosis index (HSI) in patients with and without OSA and developed screening models to detect OSA. METHODS: We retrospectively reviewed the medical records of all adult snorers with suspected NAFLD undergoing liver sonography between June 2017 and June 2020. Records encompassed CAP and HSI data as well as data collected during in-hospital full-night polysomnography. The multivariate logistic regression models were constructed to explore the predictors of OSA risk. Furthermore, model validation was performed based on the medical records corresponding to the July 2020-June 2021 period. RESULTS: A total of 59 patients were included: 81.4% (48/59) were men, and the mean body mass index (BMI) was 26.4 kg/m2. Among the patients, 62.7% (37/59) and 74.6% (44/59) (detected by the HSI and CAP, respectively) had NAFLD, and 78% (46/59) were diagnosed with OSA on the basis of polysomnography. Three screening models based on multivariate analysis were established. The model combining male sex, a BMI of > 24.8, and an HSI of > 38.3 screened for OSA risk the most accurately, with an area under the receiver operating characteristic curve of 0.81 (sensitivity: 78%; specificity: 85%; and positive and negative predictive values: 95% and 52%, respectively) in the modeling cohort. An accuracy of 70.0% was achieved in the validation group. CONCLUSIONS: The combination screening models proposed herein provide a convenient, noninvasive, and rapid screening tool for OSA risk and can be employed while patients receive routine hepatic check-ups. These models can assist physicians in identifying at-risk OSA patients and thus facilitate earlier detection and timely treatment initiation.

Development of an IoT-Based Sleep Apnea Monitoring System for Healthcare Applications.

Sleep is an essential and vital element of a person's life and health that helps to refresh and recharge the mind and body of a person. The quality of sleep is very important in every person's lifestyle, removing various diseases. Bad sleep is a big problem for a lot of people for a very long time. People suffering from various diseases are dealing with various sleeping disorders, commonly known as sleep apnea. A lot of people die during sleep because of uneven body changes in the body during sleep. On that note, a system to monitor sleep is very important. Most of the previous systems to monitor sleeping problems cannot deal with the real time sleeping problem, generating data after a certain period of sleep. Real-time monitoring of sleep is the key to detecting sleep apnea. To solve this problem, an Internet of Things- (IoT-) based real-time sleep apnea monitoring system has been developed. It will allow the user to measure different indexes of sleep and will notify them through a mobile application when anything odd occurs. The system contains various sensors to measure the electrocardiogram (ECG), heart rate, pulse rate, skin response, and SpO2 of any person during the entire sleeping period. This research is very useful as it can measure the indexes of sleep without disturbing the person and can also show it in the mobile application simultaneously with the help of a Bluetooth module. The system has been developed in such a way that it can be used by every kind of person. Multiple analog sensors are used with the Arduino UNO to measure different parameters of the sleep factor. The system was examined and tested on different people's bodies. To analyze and detect sleep apnea in real-time, the system monitors several people during the sleeping period. The results are displayed on the monitor of the Arduino boards and in the mobile application. The analysis of the achieved data can detect sleep apnea in some of the people that the system monitored, and it can also display the reason why sleep apnea happens. This research also analyzes the people who are not in the danger of sleeping problems by the achieved data. This paper will help everyone learn about sleep apnea and will help people detect it and take the necessary steps to prevent it.

Morbidity and mortality reduction associated with polysomnography testing in idiopathic pulmonary fibrosis: a population-based cohort study.

BACKGROUND: It is not well-known if diagnosing and treating sleep breathing disorders among individuals with idiopathic pulmonary fibrosis (IPF) improves health outcomes. We evaluated the association between receipt of laboratory-based polysomnography (which is the first step in the diagnosis and treatment of sleep breathing disorders in Ontario, Canada) and respiratory-related hospitalization and all-cause mortality among individuals with IPF. METHODS: We used a retrospective, population-based, cohort study design, analyzing health administrative data from Ontario, Canada, from 2007 to 2019. Individuals with IPF were identified using an algorithm based on health administrative codes previously developed by IPF experts. Propensity score matching was used to account for potential differences in 41 relevant covariates between individuals that underwent polysomnography (exposed) and individuals that did not undergo polysomnography (controls), in order minimize potential confounding. Respiratory-related hospitalization and all-cause mortality were evaluated up to 12 months after the index date. RESULTS: Out of 5044 individuals with IPF identified, 201 (4.0%) received polysomnography, and 189 (94.0%) were matched to an equal number of controls. Compared to controls, exposed individuals had significantly reduced rates of respiratory-related hospitalization (hazard ratio [HR] 0.43, 95% confidence interval [CI] 0.24-0.75), p = 0.003) and all-cause mortality (HR 0.49, 95% CI 0.30-0.80), p = 0.004). Significantly reduced rate of respiratory-related hospitalization (but not all-cause mortality) was also observed among those with > = 1 respiratory-related hospitalization (HR 0.38, 95% CI 0.15-0.99) and systemic corticosteroid receipt (HR 0.37, 95% CI 0.19-0.94) in the year prior to the index date, which reflect sicker subgroups of persons. CONCLUSIONS: Undergoing polysomnography was associated with significantly improved clinically-important health outcomes among individuals with IPF, highlighting the potential importance of incorporating this testing in IPF disease management.

Transforming electronic health record polysomnographic data into the Observational Medical Outcome Partnership's Common Data Model: a pilot feasibility study.

Well-defined large-volume polysomnographic (PSG) data can identify subgroups and predict outcomes of obstructive sleep apnea (OSA). However, current PSG data are scattered across numerous sleep laboratories and have different formats in the electronic health record (EHR). Hence, this study aimed to convert EHR PSG into a standardized data format-the Observational Medical Outcome Partnership (OMOP) common data model (CDM). We extracted the PSG data of a university hospital for the period from 2004 to 2019. We designed and implemented an extract-transform-load (ETL) process to transform PSG data into the OMOP CDM format and verified the data quality through expert evaluation. We converted the data of 11,797 sleep studies into CDM and added 632,841 measurements and 9,535 observations to the existing CDM database. Among 86 PSG parameters, 20 were mapped to CDM standard vocabulary and 66 could not be mapped; thus, new custom standard concepts were created. We validated the conversion and usefulness of PSG data through patient-level prediction analyses for the CDM data. We believe that this study represents the first CDM conversion of PSG. In the future, CDM transformation will enable network research in sleep medicine and will contribute to presenting more relevant clinical evidence.

The feasibility and reliability of actigraphy to monitor sleep in intensive care patients: an observational study.

BACKGROUND: Sleep amongst intensive care patients is reduced and highly fragmented which may adversely impact on recovery. The current challenge for Intensive Care clinicians is identifying feasible and accurate assessments of sleep that can be widely implemented. The objective of this study was to investigate the feasibility and reliability of a minimally invasive sleep monitoring technique compared to the gold standard, polysomnography, for sleep monitoring. METHODS: Prospective observational study employing a within subject design in adult patients admitted to an Intensive Care Unit. Sleep monitoring was undertaken amongst minimally sedated patients via concurrent polysomnography and actigraphy monitoring over a 24-h duration to assess agreement between the two methods; total sleep time and wake time. RESULTS: We recruited 80 patients who were mechanically ventilated (24%) and non-ventilated (76%) within the intensive care unit. Sleep was found to be highly fragmented, composed of numerous sleep bouts and characterized by abnormal sleep architecture. Actigraphy was found to have a moderate level of overall agreement in identifying sleep and wake states with polysomnography (69.4%; K = 0.386, p < 0.05) in an epoch by epoch analysis, with a moderate level of sensitivity (65.5%) and specificity (76.1%). Monitoring accuracy via actigraphy was improved amongst non-ventilated patients (specificity 83.7%; sensitivity 56.7%). Actigraphy was found to have a moderate correlation with polysomnography reported total sleep time (r = 0.359, p < 0.05) and wakefulness (r = 0.371, p < 0.05). Bland-Altman plots indicated that sleep was underestimated by actigraphy, with wakeful states overestimated. CONCLUSIONS: Actigraphy was easy and safe to use, provided moderate level of agreement with polysomnography in distinguishing between sleep and wakeful states, and may be a reasonable alternative to measure sleep in intensive care patients. Clinical Trial Registration number ACTRN12615000945527 (Registered 9/9/2015).

Sleep classification from wrist-worn accelerometer data using random forests.

Accurate and low-cost sleep measurement tools are needed in both clinical and epidemiological research. To this end, wearable accelerometers are widely used as they are both low in price and provide reasonably accurate estimates of movement. Techniques to classify sleep from the high-resolution accelerometer data primarily rely on heuristic algorithms. In this paper, we explore the potential of detecting sleep using Random forests. Models were trained using data from three different studies where 134 adult participants (70 with sleep disorder and 64 good healthy sleepers) wore an accelerometer on their wrist during a one-night polysomnography recording in the clinic. The Random forests were able to distinguish sleep-wake states with an F1 score of 73.93% on a previously unseen test set of 24 participants. Detecting when the accelerometer is not worn was also successful using machine learning ([Formula: see text]), and when combined with our sleep detection models on day-time data provide a sleep estimate that is correlated with self-reported habitual nap behaviour ([Formula: see text]). These Random forest models have been made open-source to aid further research. In line with literature, sleep stage classification turned out to be difficult using only accelerometer data.

Screening for Obstructive Sleep Apnea in Children With Sickle Cell Disease: A Pilot Study.

OBJECTIVES/HYPOTHESIS: Obstructive sleep apnea (OSA) and sickle cell disease (SCD) represent two complex disease processes. Current guidelines recommend that children with SCD receive polysomnography (PSG) after presenting with signs or symptoms of sleep-disordered breathing (SDB). Recent studies suggest a disproportionately elevated prevalence of SDB in the population of children with SCD, and traditional risk factors may not be evident within these patients. Further objective testing might be needed to screen all pediatric patients with SCD, even in the absence of overt signs or symptoms of OSA to prevent complications of both conditions. STUDY DESIGN: Prospective cohort study. METHODS: Institutional review board approval was obtained. An eight-question OSA risk assessment screening questionnaire was presented prospectively to 100 consecutive patients with SCD in the pediatric hematology clinic regardless of complaints of SDB. RESULTS: Out of 100 patients, 51 were female. The average age, body mass index (BMI), BMI percentile, and I'M SLEEPY score of the entire cohort were 3.97 years, 15.97%, 55.4%, and 1.63%, respectively. Nineteen patients had a positive sleep apnea screening score and were referred for PSG. The average age BMI, BMI percentile, and I'M SLEEPY score for those 19 patients were 3.77%, 16.67%, 65%, and 3.95%, respectively. Ten patients completed PSG, with seven diagnosed with OSA. CONCLUSIONS: This pilot study demonstrates a higher incidence of SDB and OSA in children with SCD relative to the general pediatric population. Although more PSG reports and further testing is needed to determine whether the results hold, preliminary data indicate that children with SCD should at least undergo OSA screening in the office regardless of overt symptoms. LEVEL OF EVIDENCE: 3 Laryngoscope, 131:E1022-E1028, 2021.

Comparison of Traditional Upper Airway Surgery and Upper Airway Stimulation for Obstructive Sleep Apnea.

OBJECTIVE: To compare patients with moderate-severe obstructive sleep apnea (OSA) undergoing traditional single and multilevel sleep surgery to those undergoing upper airway stimulation (UAS). STUDY DESIGN: Case control study comparing retrospective cohort of patients undergoing traditional sleep surgery to patients undergoing UAS enrolled in the ADHERE registry. SETTING: 8 multinational academic medical centers. SUBJECTS AND METHODS: 233 patients undergoing prior single or multilevel traditional sleep surgery and meeting study inclusion criteria were compared to 465 patients from the ADHERE registry who underwent UAS. We compared preoperative and postoperative demographic, quality of life, and polysomnographic data. We also evaluated treatment response rates. RESULTS: The pre and postoperative apnea hypopnea index (AHI) was 33.5 and 15 in the traditional sleep surgery group and 32 and 10 in the UAS group. The postoperative AHI in the UAS group was significantly lower. The pre and postoperative Epworth sleepiness scores (ESS) were 12 and 6 in both the traditional sleep surgery and UAS groups. Subgroup analysis evaluated those patients undergoing single level palate and multilevel palate and tongue base traditional sleep surgeries. The UAS group had a significantly lower postoperive AHI than both traditional sleep surgery subgroups. The UAS group had a higher percentage of patients reaching surgical success, defined as a postoperative AHI <20 with a 50% reduction from preoperative severity. CONCLUSION: UAS offers significantly better control of AHI severity than traditional sleep surgery. Quality life improvements were similar between groups.

Home Sleep Testing to Direct Upper Airway Stimulation Therapy Optimization for Sleep Apnea.

OBJECTIVES/HYPOTHESIS: Selective upper airway stimulation (sUAS) is a well-established treatment option for obstructive sleep apnea (OSA). This study aimed to determine if there are benefits in performing a home sleep test (HST) to evaluate postoperative sUAS effectiveness after patient acclimatization compared to the generally used polysomnography (PSG) titration, as measured by long-term follow-up outcomes. STUDY DESIGN: Retrospective comparative cohort analysis. METHODS: We conducted an analysis of consecutive patients at our center who had completed a 6-month follow-up (month 6 [M6]) and recorded data from M6, month 12 (M12), and month 24 (M24). After device activation, we performed an HST with the patient's stimulation settings, and measured the apnea-hypopnea index (AHI), Epworth Sleepiness Scale (ESS), and device usage. These values were compared to patients who had undergone PSG-based device titration. RESULTS: Baseline values of the initial 131 patients show high ESS and moderate OSA. At the 2-month time point of the HST, nearly half of the patients (46.2%) reached an AHI ≤15/hr, and approximately a fifth (19.2%) reached <5/hr. The PSG and HST groups differed in median ESS at M24, but no other differences were observed for ESS at M6 and M12. Both groups showed similar AHI, oxygen desaturation, and usage hours per week. CONCLUSIONS: Adjusting therapy by using the HST technique after device activation and acclimatization has clinical and economic advantages. These advantages are contingent on several conditions being met when deviating from the standard device protocol, including precise communication with the referring sleep medicine physicians, especially their role in helping with long-term follow-up. LEVEL OF EVIDENCE: 4 Laryngoscope, 131:E1375-E1379, 2021.

The effect of in-lab polysomnography and home sleep polygraphy on sleep position.

PURPOSE: Little is known regarding the influence of in-laboratory polysomnography (PSG) equipment on sleep position, especially on the prevalence of supine positioning, which in many cases may lead to a more severe sleep apnea diagnosis. The aim of this study was to assess the percentage of supine sleep during an in-laboratory PSG compared to that seen during a home sleep apnea test (HSAT). METHODS: This was a retrospective cohort study comparing in-laboratory PSG and HSAT using a peripheral arterial tone (PAT) technology device. RESULTS: Of 445 PSG and 416 HSAT studies analyzed, there was no significant difference in the proportion of supine sleep time between PSG (44%) and HSAT (45%, p = 0.53). Analysis of the differences in sleep position (supine versus non-supine), analyzed by sex, BMI (≥ 30 kg/m2 versus < 30 kg/m2), and age (≥ 60 years versus < 60 years), was significant only for women, who had more supine sleep during HSAT at 61 ± 24% than during PSG at 45 ± 26% (p < 0.001). CONCLUSION: Overall there was no difference in the percentage of supine sleep when comparing in-laboratory PSG to HSAT. However, women had more supine sleep with HSAT than with PSG.

Reducing cost and time to diagnosis and treatment of obstructive sleep apnea using ambulatory sleep study: a Singapore sleep centre experience.

PURPOSE: The current gold standard for diagnosis of obstructive sleep apnea (OSA) is overnight in laboratory polysomnography (PSG). However, PSGs are expensive, labor-intensive, and have long wait times. An ambulatory sleep study device, the WatchPAT, has been shown to have high correlation for sleep indices measured compared with PSG (AASM, 2016). Use of the WatchPAT could potentially lead to shorter waiting times and earlier diagnosis of OSA (Lancet Resp Med 3:310-8, 2015). Our study aimed to investigate if WatchPAT reduces time to diagnosis and treatment of OSA in a tertiary healthcare setting. A secondary aim was to investigate the cost-benefit of an ambulatory sleep study. METHODS: All patients who underwent diagnostic sleep studies in a single tertiary institution from 2014 to 2017 were retrospectively reviewed. Baseline characteristics and time from ordering of sleep study to prescription of continuous positive airway pressure were recorded. Data were categorized into two groups by type of diagnostic sleep study, PSG, and WatchPAT. The time to treatment and cost for diagnosis of OSA were compared between groups with the Paired T test/Wilcoxon signed-rank test. RESULTS: Of 1898 patients who had diagnostic sleep studies over a 4-year period, 1660 patients (88%) underwent PSG and 238 patients (12%) underwent WatchPAT. Patients in the WatchPAT group had a shorter time to diagnosis (21 days versus 79.8 days, p < 0.001) and treatment (46.3 days versus 118.4 days, p < 0.001) compared to the PSG group. Cost-benefit calculation showed that this earlier treatment led to cost-saving of US $1179.50 per patient. CONCLUSION: An ambulatory sleep study is an option for earlier access to diagnosis and treatment of OSA with the potential of considerable cost savings.