scholarly journals 0722 The Association Between Obstructive Sleep Apnea and Neurobehavioural Function in Men: A Large, Population-Based Cohort Study

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A274-A275
Author(s):  
J L Parker ◽  
R J Adams ◽  
S L Appleton ◽  
Y A Melaku ◽  
A Vakulin
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Inspection Time ◽  
Sleep Disruption ◽  
Clinical Samples ◽  
Apnea Hypopnea Index ◽  
Cross Sectional ◽  
Obstructive Sleep

Abstract Introduction Obstructive sleep apnea (OSA) is linked with impaired vigilance, attention, memory and executive function. However, this evidence largely comes from small experimental studies or larger studies in clinical samples and therefore the scope and magnitude of OSA driven neurobehavioural dysfunction in the general population remains unclear. This study aimed to examine the cross-sectional association between OSA and neurobehavioural function in a large community sample of men. Methods A total of 837 participants from the Men Androgen Inflammation Lifestyle Environment and Stress (MAILES) study, a longitudinal cohort of men 40+ years, underwent full overnight polysomnography. Participants completed the inspection time (IT) test, mini-mental state examination (MMSE), Fuld object memory evaluation (FOME), and trail-making test (TMT) part A (TMT-A) and part B (TMT-B). Using regression models adjusted for multiple important covariates, we examined the association between neurobehavioural function scores, clinical metrics of OSA severity (Apnea-Hypopnea Index (AHI); percentage total sleep time with oxygen saturation <90% (TST90), and measures of sleep disruption (duration of rapid eye movement (REM) and non-REM (NREM) sleep; and total sleep time (TST). Results In multivariable linear regressions, greater TST was associated with worse IT scores (B=13.688, 95% CI [0.134, 27.241], P=0.048) and TMT-B scores (B=19.255, 95% CI [0.931, 37.578], P=0.040). In logistic regressions, greater TST was associated with better MMSE scores (Odds ratio [OR]=0.440, 95% CI [0.194, 0.997], P=0.049); and higher AHI was strongly associated with worse FOME scores in fully adjusted models (OR=1.358, 95% CI [1.252, 1.472], P<0.001). Conclusion The AHI and TST were positively, significantly associated with neurobehavioural function across different domains. This cross-sectional data shows that neurobehavioural function deficits in OSA are directly related to sleep and breathing disruptions. Future large prospective studies are needed to determine if OSA and sleep disruption predict future onset of neurobehavioural dysfunction and cognitive decline. Support National Health and Medical Research Council and the Adelaide Institute for Sleep Health.

Abstract TMP55: Polysomnographic and Sleep-related Variables Associated to Leukoaraiosis in Patients with Obstructive Sleep Apnea

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Kevin R Duque ◽  
Brian Villafuerte ◽  
Fiorella Adrianzen ◽  
Rodrigo Zamudio ◽  
Andrea Mendiola ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Logistic Regression ◽  
Sleep Apnea ◽  
Multinomial Logistic Regression ◽  
Sleep Time ◽  
Cross Sectional Study ◽  
Apnea Hypopnea Index ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Medical Histories

Introduction: Obstructive sleep apnea (OSA) is a biological plausible risk factor for leukoaraiosis (LA). We tested the hypothesis that polysomnographic (PSG) and sleep-related variables are associated to LA in OSA patients. Methods: Cross-sectional study in which PSG records, medical histories and brain 1.5T MRI were collected from all consecutive patients who had attended a Sleep Medicine Center between 2009-2014. LA was graded from 0 to 9 with the ’Atherosclerosis Risk In Communities’ study scale. OSA was defined by The International Classification of Sleep Disorders, 2014, and its severity categorizing according to apnea-hypopnea index (AHI, <15 mild, 15 to <30 moderate, 30 to <45 severe and ≥45 very severe). A multinomial logistic regression was performed to describe the association between OSA severity and LA (divided into 2 groups: mild-to-moderate LA and non-to-minimal LA). The covariates for all regression models were age, gender, BMI, hypertension, ischemic stroke, myocardial infarction, diabetes and pack-year of smoking. Results: From 82 OSA patients (77% male; mean age 58±9 years, range 19-91), 54 (66%) had LA. Mild-to-moderate LA was found in 13 patients (8 mild and 5 moderate LA) and non-to-minimal LA in 69 (41 minimal and 28 non LA). Spearman’s correlation coefficient between AHI and LA grade was 0.41 (p<0.001). Furthermore, the higher OSA severity, the higher LA severity (p<0.001, for Jonckheere-Terpstra test for ordered alternatives). In the multinomial logistic regression model adjusted for cofounders, severe OSA patients had higher risk for mild or moderate LA (HR 12.8, 95% IC 1.2-141) compared to mild-to-moderate OSA patients. Additionally, self-reported habitual sleep duration from 7 to 9 hours (HR 0.36, 90% IC 0.14-0.90) and proportion of time in apnea/hypopnea over total sleep time (HR 1.04 for one unit increase, 90% IC 1.01-1.08) could be associated with the presence of LA (adjusted only for age and gender). In a multiple regression analysis with all the aforementioned variables, age (p=0.002), diabetes (p=0.003), and OSA severity (p=0.04) were predictors of the presence of LA. Conclusion: Patients with severe OSA had higher risk for mild to moderate LA when compared to patients with mild or moderate OSA.

scholarly journals 0567 Hypoxic Burden and Apnea-Hypopnea Duration in Patients with Positional Obstructive Sleep Apnea

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A217-A218
Author(s):  
J A Ramzy ◽  
R Rengan ◽  
M Mandal ◽  
S Rani ◽  
M E Vega Sanchez ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Apnea Hypopnea Index ◽  
Apnea Test ◽  
Positional Obstructive Sleep Apnea ◽  
Obstructive Sleep ◽  
Respiratory Event ◽  
The Mean

Abstract Introduction Recently, the measurement of the hypoxic burden and apnea-hypopnea duration has been shown to correlate with mortality in patients with obstructive sleep apnea (OSA). We hypothesized that in patients with mild positional OSA (apnea-hypopnea index [AHI] &lt; 5 events/hr in the non-supine position) the hypoxic burden would be increased and apnea-hypopnea duration shortened and similar to patients with non-positional OSA. Methods Fourteen patients with positional OSA and 24 patients non-positional OSA with similar severity of OSA based on the respiratory event index (REI) were included. All patients had a home sleep apnea test for suspected OSA. The hypoxic burden was calculated by the multiplication of REI and the mean area under the desaturation curves. Results Thirty-eight patients [12 (35%) males, 50±12 yrs, BMI 35±7 kg/m2, Epworth Sleepiness Scale (ESS) 11±8, REI 10±3 events/hr, apnea-hypopnea duration 19±4 sec, mean SaO2 94±2%, lowest SaO2 79±8%, % total sleep time (TST) SaO2 &lt; 90% 11±16%, hypoxic burden 30±17 %min/hr] completed the study. Fourteen patients [9 (64%) males, 46±14 yrs, BMI 31±6 kg/m2, ESS 7±5, REI 9±3 events/hr, mean SaO2 94±2%, lowest SaO2 81±6%, %TST SaO2 &lt; 90% 4±6%] had positional OSA (supine REI 16±7 events/hr, non-supine REI 3±1 events/hr) and 24 patients had non-positional OSA [3 (13%) males, 52±10 yrs, BMI 38±7 kg/m2, ESS 12±9, REI 10±3 events/hr, mean SaO2 94±2%, lowest SaO2 77±9%, %TST SaO2 &lt; 90% 14±19%]. The hypoxic burden was elevated in both the positional and non-positional OSA patients with no difference between the groups (26±19 %min/hr and 32±15 %min/hr, respectively, p=0.13). The apnea-hypopnea duration was similar in positional and non-positional OSA patients (20±3 sec and 18±4 sec, respectively, p=0.08 sec). Conclusion In patients with mild positional OSA the hypoxic burden, which has been associated with cardiovascular mortality, is elevated and similar to patients with non-positional OSA. Support None

scholarly journals Characteristics of Obstructive Sleep Apnea Patients With Hypertension and Factors Associated With Autotitration Acceptance

2022 ◽  
Vol 12 ◽  
Author(s):  
Xuan Zhang ◽  
Ning Zhang ◽  
Yang Yang ◽  
Shuo Wang ◽  
Ping Yu ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Eye Movement ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Apnea Hypopnea Index ◽  
Rapid Eye Movement ◽  
Obstructive Sleep ◽  
Severe Group

In order to explore the characteristics and treatment status of obstructive sleep apnea (OSA) patients with hypertension, a retrospective study was conducted on 306 patients admitted from October 2018 to December 2019. According to the apnea hypopnea index (AHI), OSA patients with hypertension were divided into three groups. 69 cases were mild OSA (5 ≤ AHI &lt; 15), 86 cases were moderate (15 ≤ AHI &lt; 30), and 151 cases were severe (AHI ≥ 30). Compared with patients in the mild and moderate groups, the severe group had more male patients, with higher body mass index (BMI) and non-rapid eye movement stage 1 accounted for total sleep time (N1%), and lower non-rapid eye movement stage 2 accounted for total sleep time (N2%), average and minimum blood oxygen. Among all the patients, those who underwent the titration test accounted for 20.6% (63/306). Multivariate analysis showed that sleep efficiency (p &lt; 0.001) and AHI (p &lt; 0.001) were independent factors for patients to accept titration test. OSA patients with hypertension had a low acceptance of titration therapy. These people with higher sleep efficiency and AHI were more likely to receive autotitration.

scholarly journals Sleep architecture, obstructive sleep apnea and functional outcomes in adults with a history of Tick-borne encephalitis

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246767
Author(s):  
Malin Veje ◽  
Marie Studahl ◽  
Erik Thunström ◽  
Erika Stentoft ◽  
Peter Nolskog ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Functional Outcomes ◽  
Sleep Disturbances ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Apnea Hypopnea Index ◽  
Northern Asia ◽  
Tick Borne Encephalitis ◽  
Obstructive Sleep

Tick-borne encephalitis (TBE) is a widespread viral infection of the central nervous system with increasing incidence in Europe and northern Asia. Post-infectious sequelae are frequent, and patients with TBE commonly experience long-term fatigue and subjective sleep disturbances. Obstructive sleep apnea (OSA) may be a contributing factor, and objective sleep studies with polysomnography (PSG) are lacking. Forty-two adults, 22 TBE patients (cases), diagnosed in Region Västra Götaland, Sweden, between 2012 and 2015, and 20 controls without a known TBE history, underwent an overnight PSG, respectively. All participants responded to questionnaires. The cases and controls were similar regarding age, sex, obesity, concomitant diseases, smoking, and alcohol habits. Despite similar PSG characteristics such as total sleep time and OSA severity indices, the TBE cases reported statistically more sleep-related functional impairment on the Functional Outcome of Sleep Questionnaire (FOSQ) compared with the controls (median scores 18.1 vs. 19.9; p<0.05). In a multivariate analysis, TBE correlated significantly with the lower FOSQ scores (unstandardized β −1.80 [%95 confidence interval −3.02 - −0.58]; p = 0.005) independent of age, sex, total sleep time and apnea-hypopnea-index. TBE cases with OSA reported the lowest scores on the FOSQ compared with the other subgroups with TBE or OSA alone, and the ones with neither TBE nor OSA. TBE is associated with impaired functional outcomes, in which concomitant OSA may worsen the subjective symptoms. Further studies are warranted to determine the effect of treatment of concomitant OSA on functional outcomes with regard to optimal rehabilitation of TBE.

scholarly journals Altered K-complex morphology during sustained inspiratory airflow limitation is associated with next-day lapses in vigilance in obstructive sleep apnea

SLEEP ◽  
2021 ◽  
Author(s):  
Ankit Parekh ◽  
Korey Kam ◽  
Anna E Mullins ◽  
Bresne Castillo ◽  
Asem Berkalieva ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Spectral Characteristics ◽  
Sleep Time ◽  
Airflow Limitation ◽  
Apnea Hypopnea Index ◽  
Complex Morphology ◽  
Obstructive Sleep ◽  
Inspiratory Airflow Limitation ◽  
Psychomotor Vigilance

Abstract Study Objectives Determine if changes in K-complexes associated with sustained inspiratory airflow limitation (SIFL) during N2 sleep are associated with next-day vigilance and objective sleepiness. Methods Data from thirty subjects with moderate-to-severe obstructive sleep apnea who completed three in-lab polysomnograms: diagnostic, on therapeutic continuous positive airway pressure (CPAP), and on suboptimal CPAP (4 cmH2O below optimal titrated CPAP level) were analyzed. Four 20-min psychomotor vigilance tests (PVT) were performed after each PSG, every 2 h. Changes in the proportion of spontaneous K-complexes and spectral characteristics surrounding K-complexes were evaluated for K-complexes associated with both delta (∆SWAK), alpha (∆αK) frequencies. Results Suboptimal CPAP induced SIFL (14.7 (20.9) vs 2.9 (9.2); %total sleep time, p &lt; 0.001) with a small increase in apnea–hypopnea index (AHI3A: 6.5 (7.7) vs 1.9 (2.3); p &lt; 0.01) versus optimal CPAP. K-complex density (num./min of stage N2) was higher on suboptimal CPAP (0.97 ± 0.7 vs 0.65±0.5, #/min, mean ± SD, p &lt; 0.01) above and beyond the effect of age, sex, AHI3A, and duration of SIFL. A decrease in ∆SWAK with suboptimal CPAP was associated with increased PVT lapses and explained 17% of additional variance in PVT lapses. Within-night during suboptimal CPAP K-complexes appeared to alternate between promoting sleep and as arousal surrogates. Electroencephalographic changes were not associated with objective sleepiness. Conclusions Sustained inspiratory airflow limitation is associated with altered K-complex morphology including the increased occurrence of K-complexes with bursts of alpha as arousal surrogates. These findings suggest that sustained inspiratory flow limitation may be associated with nonvisible sleep fragmentation and contribute to increased lapses in vigilance.

Utility of Neck, Height, and Tonsillar Size to Screen for Obstructive Sleep Apnea among Obese Youth

2017 ◽  
Vol 158 (4) ◽  
pp. 745-751 ◽  
Author(s):  
Indra Narang ◽  
Suhail Al-Saleh ◽  
Reshma Amin ◽  
Evan J. Propst ◽  
Saadoun Bin-Hasan ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Predictive Ability ◽  
Ambulatory Setting ◽  
Apnea Hypopnea Index ◽  
Predictive Tool ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Obese Youth ◽  
Obstructive Sleep

Objectives To determine whether neck:height ratio combined with adenoid and tonsillar size is a good predictive tool for obstructive sleep apnea in obese youth. Study Design Cross-sectional study. Setting Sleep clinics at the Hospital for Sick Children, Toronto, Canada. Subjects and Methods Consented obese individuals aged 8 to 18 years were recruited between 2013 and 2015. Anthropometric measures were obtained by a trained research coordinator in a standardized manner. Otolaryngologists evaluated adenoid and tonsil sizes. Obstructive sleep apnea was diagnosed with an overnight polysomnogram as an obstructive apnea-hypopnea index ≥2. Multivariable logistic regressions investigated the relationship between potential predictors and obstructive sleep apnea. The C-statistic measured the predictive ability. Results Of the 53 subjects (median age, 13 years; 55% males), 28 (53%) were diagnosed with obstructive sleep apnea, with a median index of 10.6 per hour. In a logistic regression controlling for adenoid size, enlarged tonsils were significantly associated with the presence of obstructive sleep apnea ( P < .01). Adding neck:height ratio into the model improved the model predictive ability (C-index increased from 0.73 to 0.84). Controlling for tonsil and adenoid sizes, an increase in neck:height ratio was significantly associated with the presence of obstructive sleep apnea ( P = .01). Conclusion Our study suggests that neck:height ratio combined with tonsillar hypertrophy may have a strong predictive ability for obstructive sleep apnea and may be useful in an ambulatory setting to screen obese youth at high risk. These findings should be confirmed in a larger study.

Obstructive Sleep Apnea in Acromegaly and the Effect of Treatment: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 105 (3) ◽  
pp. e23-e31 ◽  
Author(s):  
Matteo Parolin ◽  
Francesca Dassie ◽  
Luigi Alessio ◽  
Alexandra Wennberg ◽  
Marco Rossato ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Meta Analysis ◽  
Upper Airway ◽  
Apnea Hypopnea Index ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Before And After ◽  
The Difference

Abstract Background Obstructive sleep apnea (OSA) is a common disorder characterized by upper airway collapse requiring nocturnal ventilatory assistance. Multiple studies have investigated the relationship between acromegaly and OSA, reporting discordant results. Aim To conduct a meta-analysis on the risk for OSA in acromegaly, and in particular to assess the role of disease activity and the effect of treatments. Methods and Study Selection A search through literature databases retrieved 21 articles for a total of 24 studies (n = 734). Selected outcomes were OSA prevalence and apnea-hypopnea index (AHI) in studies comparing acromegalic patients with active (ACT) vs inactive (INACT) disease and pretreatment and posttreatment measures. Factors used for moderator and meta-regression analysis included the percentage of patients with severe OSA, patient sex, age, body mass index, levels of insulin-like growth factor 1, disease duration and follow-up, and therapy. Results OSA prevalence was similar in patients with acromegaly who had ACT and INACT disease (ES = −0.16; 95% CI, −0.47 to 0.15; number of studies [k] = 10; P = 0.32). In addition, AHI was similar in ACT and INACT acromegaly patients (ES = −0.03; 95% CI, −0.49 to 0.43; k = 6; P = 0.89). When AHI was compared before and after treatment in patients with acromegaly (median follow-up of 6 months), a significant improvement was observed after treatment (ES = −0.36; 95% CI, −0.49 to −0.23; k = 10; P &lt; 0.0001). In moderator analysis, the percentage of patients with severe OSA in the populations significantly influenced the difference in OSA prevalence (P = 0.038) and AHI (P = 0.04) in ACT vs INACT patients. Conclusion Prevalence of OSA and AHI is similar in ACT and INACT patients in cross-sectional studies. However, when AHI was measured longitudinally before and after treatment, a significant improvement was observed after treatment.

scholarly journals Increased prevalence of obstructive sleep apnea in women diagnosed with endometrial or breast cancer

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249099
Author(s):  
Ayey Madut ◽  
Veronika Fuchsova ◽  
Hong Man ◽  
Shabeel Askar ◽  
Ritu Trivedi ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Endometrial Cancer ◽  
Sleep Apnea ◽  
Small Sample Size ◽  
Small Sample ◽  
Apnea Hypopnea Index ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Incidence And Mortality ◽  
High Prevalence

Background Epidemiological studies demonstrate associations between obstructive sleep apnea (OSA) and cancer incidence and mortality. The aim of this study was to measure OSA in women with breast (BC) or endometrial cancer (EC) and associations with clinico-pathological tumor variables. Methods and findings In a cross sectional study, women with BC (12 months) or EC (3 months) post-diagnosis were recruited from cancer clinics. We collected demographic, anthropometric data, cancer stage, grade, histopathology and history of cancer treatment and all subjects had in-laboratory polysomnography. Sleepiness was assessed with the Epworth Sleepiness Scale (ESS). We compared anthropometric and polysomnographic data between cancer groups (unpaired t-tests), and assessed relationships between cancer characteristics and OSA variables (Fishers exact test). There were no significant differences between average age (BC:59.6±8.7 years(n = 50); EC:60.3±7.7 years(n = 37)), or ESS score (BC:6.4±4.4; EC 6.8±4.7; mean±SD; all p>0.2), however, BMI was higher in EC (BC: 29.7±7.9kgm-2; EC: 34.2±8.0 kgm-2; p<0.05). BC had longer sleep latency (BC:31.8±32minutes; EC:19.3±17.9 minutes), less Stage 3 sleep (BC:20.0±5.2%; EC:23.6±8.2%) and more REM sleep (BC:21.1±6.9%; EC: 16.6±5.7%), all p<0.05. EC had lower average awake and asleep oxygen saturation levels (BC: 95.6±1.3%; EC: 94.6±1.9% [awake]: BC: 94.8±2.1%; EC: 93.3±2.4% [asleep]; both p<0.05). Apnea-Hypopnea Index (AHI) (BC: 21.2(7.3–36.9) events/hr; EC: 15.7 (10–33.5) events/hour (median (interquartile range)) was not different p = 0.7), however, 58% and 57% of women with BC and EC respectively, had an AHI>15 events/hour. In this small sample size group, no significant associations (all p>0.1) were detected between OSA metrics and clinico-pathological tumor variables. Conclusion In postmenopausal women with breast or endometrial cancer there is high prevalence of OSA, with no association with specific tumor characteristics detected. Recognition of the high prevalence of OSA in women with cancer is important to recognise as it may impact on surgical risk and quality of life.

scholarly journals 0709 Using The Sleep Adjusted Residual Apnea Hypopnea Index In The Real-World Monitoring Of Obstructive Sleep Apnea

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A270-A270
Author(s):  
E Viteri ◽  
V McGhee ◽  
J V Tackett ◽  
A X Freire
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Time ◽  
Small Sample ◽  
Apnea Hypopnea Index ◽  
Sleep Study ◽  
Convenience Sample ◽  
Obstructive Sleep ◽  
Adjusted Residual

Abstract Introduction Treatment efficacy of obstructive sleep apnea (OSA) depends on controlling respiratory events for the majority of sleep time. Apnea-hypopnea index (AHI) and adherence are frequently used to determine efficacy of continuous positive airway (CPAP) therapy, but fail to capture the effect of residual events during untreated sleep-time. The Sleep Adjusted Residual AHI (SARAHI) consolidates treated and untreated AHI and CPAP use into a single number: SARAHI = [(Untreated AHI × Hours Untreated) + (Treated AHI × Hours Treated)] / (Total Sleep Hours). We attempted to determine the clinical applicability of this index as a determinant of OSA control and its relation with sleepiness improvement. Methods As part of a quality assessment project, a convenience sample was haphazardly collected from a database of patients initiated on CPAP in a Veteran’s Affairs Hospital. Patients initiating treatment after OSA diagnosis by polysomnogram or portable sleep study were included. Information from a CPAP-download within a year of diagnosis and Epworth Sleepiness Scale (ESS) at diagnosis and follow-up were collected. SARAHI was calculated using two different measures of “total sleep hours”: 8 hours (SARAHI-8hrs) or recorded sleep time during sleep study (SARAHI-PSG). Results Thirteen patients (12 male) with a mean age of 53.3 years were included. At diagnosis, mean AHI was 26.0 events/hour and ESS was 14.6. At follow-up, CPAP mean adherence was 338 min and average use was 61.8% of days; mean residual AHI was 4.4 events/hour and mean ESS 13.7. SARAHI-8hrs was 16.0 events/hour and SARAHI-PSG was 13.8 events/hr. Simple linear regression did not show a significant correlation between ESS improvement and either of these indexes or with improvement in AHI. Conclusion SARAHI showed no correlation with ESS in this small sample. We recommend further research as SARAHI is simple to use and provides more information than currently used parameters. Support None

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