Greater Severity Of Obstructive Sleep Apnea Research Articles

Sleep quality, physical activity, screen time, and substance use in children with obesity: associations with obstructive sleep apnea.

The association between obstructive sleep apnea (OSA) and lifestyle habits in children with obesity is largely unknown. This study aimed to determine whether there was an association between lifestyle patterns (sleep quality, physical activity, recreational screen time, and substance use) and OSA presence and severity in children with obesity. This cross-sectional study recruited children with obesity, aged 8-17 years, who were referred to undergo polysomnography. Children completed questionnaires on sleep quality, physical activity, recreational screen time, and substance use. Children also had a diagnostic polysomnography. The association between questionnaire scores and OSA severity, after adjusting for body mass index z-score, age, and sex, was evaluated using negative binomial multiple regression. Correlations were conducted between sleep quality, physical activity, screen time, substance use, and OSA severity. A total of 100 children were included in the analysis (mean age: 14.3 ± 2.6 years; 44% female; mean body mass index z-score: 2.5 ± 0.4; 65% with OSA). In the adjusted regression analysis, each additional substance-use behavior was associated with a 17% (95% confidence interval: 1%, 36%) increase in OSA severity. Correlations were identified between poorer sleep quality and lower physical activity (r = -.42), poorer sleep quality and more substance-use behaviors (r = .40), and greater physical activity and less substance-use behaviors (r = -.26). In children with obesity, more substance-use behaviors were independently associated with greater OSA severity. As there are complex, bidirectional relationships between lifestyle behaviors and OSA severity, interventions need to be comprehensive and multifactorial to ensure successful treatment of OSA and its sequelae in children. Blinder H, Narang I, Chaput J-P, Katz SL; on behalf of the Canadian Sleep and Circadian Network. Sleep quality, physical activity, screen time, and substance use in children with obesity: associations with obstructive sleep apnea. J Clin Sleep Med. 2023;19(3):511-518.

Abstract 13798: Obstructive Sleep Apnea Severity and Abnormal Right Ventricular Flow Reserve in Adult OSA Patients Who Received Rubidium-82 Cardiac PET Perfusion Imaging

Background: Obstructive sleep apnea (OSA) is associated with right ventricular (RV) remodeling, RV dysfunction and pulmonary hypertension. Myocardial flow reserve (MFR), the ratio of stress-to-rest myocardial blood flow (MBF), is an index of coronary microvascular health. Recent evidence suggests that severe OSA is associated with abnormal left ventricular MFR (LVFR). However, little is known about MFR in the RV of patients with OSA. In this study we examined the relationship between measures of OSA severity and RV MFR (RVFR) in humans. Methods: We conducted RV MBF assessment in 47 persons with OSA who had a cardiac positron emission tomographic (PET) perfusion scan. All participants had in-laboratory polysomnography. RVFR <2.0 was chosen as threshold for abnormal RVFR to coincide with the 25 th percentile of RVFR in our sample. Abnormal LVFR was also defined as <2.0 based on thresholds from previously determined studies. We compared the mean apnea-hypopnea index (AHI), oxygen desaturation index (ODI) and time spent with <90% oxygen saturation (T90%). Results: The mean age of the participants was 58 years and 63% were female. There was a strong correlation between RVFR and LVFR (Spearman Rho = 0.63, P<0.001). The mean AHI was greater among persons with RVFR <2 compared to those with RVFR≥2 [mean (SE) AHI: 63 (20) v. 32 (5), P=0.042]. This trend was observed with the ODI although it was not statistically significant. Given the RVFR and LVFR were strongly correlated, we created a ratio of RVFR to LVFR to account for the LV MBF. The mean AHI and ODI among persons with RVFR/LVFR <1 was greater than those with ≥1; p = 0.025 and p=0.031 respectively. See the figure for more details. Conclusion In patients with OSA, patients with reduced RVFR had higher AHI and ODI indicating greater severity of OSA. The exact mechanism behind this phenomenon is not known. Future studies should further characterize the relationship between RV myocardial blood flow and OSA.

Smoking Obstructive Sleep Apnea: Arguments for a Distinctive Phenotype and a Personalized Intervention.

Background: This is the first study that aims to define smoking, with obstructive sleep apnea (OSA), as a phenotype (SOSA). Moreover, we wanted to demonstrate the deleterious effects of the continuation of smoking on OSA. Methods: The cross-sectional study highlighted four dimensions of SOSA: the demographic and anthropometric features, the symptoms, the comorbidities, and the sleep study parameters. This study compared these characteristics between current smokers (CS), those who have never smoked (NS), and ex-smokers (ES) with OSA. Results: More men (83.95% in CS, versus 66.67% in NS) and an earlier onset of OSA (average age = 50.05 in CS, versus 52.26 in NS, p = 0.04) were recorded among CS. The distinguishing symptom of CS was daytime sleepiness, with an Epworth score that was significantly higher than in NS. Chronic obstructive pulmonary disease (COPD) was significantly more prevalent in CS (38.27%) than in NS (1.51%) (p < 0.001). The severity of OSA, consisting of a higher apnea-hypopnea index, a higher oxygen desaturation index, and a longer time spent below 90% oxygen saturation during sleep was significantly influenced by smoking. Conclusions: The SOSA phenotype includes younger male patients with a higher waist circumference, suggesting central obesity. They have a higher prevalence of COPD and a greater severity of OSA, in correlation with the number of pack-years of smoking.

Medial temporal lobe and obstructive sleep apnea: Effect of sex, age, cognitive status and free-water

Medial temporal structures, namely the hippocampus, the entorhinal cortex and the parahippocampal gyrus, are particularly vulnerable to Alzheimer’s disease and hypoxemia. Here, we tested the associations between obstructive sleep apnea (OSA) severity and medial temporal lobe volumes in 114 participants aged 55–86 years (35 % women). We also investigated the impact of sex, age, cognitive status, and free-water fraction correction on these associations. Increased OSA severity was associated with larger hippocampal and entorhinal cortex volumes in women, but not in men. Greater OSA severity also correlated with increased hippocampal volumes in participants with amnestic mild cognitive impairment, but not in cognitively unimpaired participants, regardless of sex. Using free-water corrected volumes eliminated all significant associations with OSA severity. Therefore, the increase in medial temporal subregion volumes may possibly be due to edema. Whether these structural manifestations further progress to neuronal death in non-treated OSA patients should be investigated.

Overnight Rostral Fluid Shifts Exacerbate Obstructive Sleep Apnea After Stroke.

Overnight shifts of fluid from lower to upper compartments exacerbate obstructive sleep apnea (OSA) in some OSA populations. Given the high prevalence of OSA after stroke, decreased mobility and use of IV fluids among hospitalized patients with stroke, and improvement in OSA in the months after stroke, we hypothesized that overnight fluid shifts occur and are associated with OSA among patients with subacute ischemic stroke. Within a population-based project, we performed overnight sleep apnea tests (ApneaLink Plus) during ischemic stroke hospitalizations. Before sleep that evening, and the following morning before rising from bed, we assessed neck and calf circumference, and leg fluid volume (bioimpedance spectroscopy). The average per subject overnight change in the 3 fluid shift measurements was calculated and compared with zero. Linear regression was used to test the crude association between each of the 3 fluid shift measurements and the respiratory event index (REI). Among the 292 participants, mean REI was 24 (SD=18). Within individuals, calf circumference decreased on average by 0.66 cm (SD=0.75 cm, P<0.001), leg fluid volume decreased by a mean of 135.6 mL (SD=132.8 mL, P<0.001), and neck circumference increased by 0.20 cm (SD=1.71 cm, P=0.07). In men, when the overnight change of calf circumference was negative, an interquartile range (0.8 cm) decrease in calf circumference overnight was significantly associated with a 25.1% increase in REI (P=0.02); the association was not significant in women. The relationship between overnight change in leg fluid volume and REI was U shaped. This population-based, multicenter, cross-sectional study showed that in hospitalized patients with ischemic stroke, nocturnal rostral fluid shifts occurred, and 2 of the 3 measures were associated with greater OSA severity. Interventions that limit overnight fluid shifts should be tested as potential treatments for OSA among patients with subacute ischemic stroke.

Association of Obstructive Sleep Apnea with Nocturnal Hypoxemia in Metabolic-Associated Fatty Liver Disease Patients: A Cross-sectional Analysis of Record-based Data.

Rationale:Obstructive sleep apnea (OSA) is often seen among obese individuals and the obesity has a linear association with MAFLD. The contribution of chronic intermittent nocturnal hypoxia of OSA and association of MAFLD with OSA is an unmet need. The present study aimed to determine the etiology, impact and association of OSA severity and nocturnal hypoxemia among patients ofChronic liver disease (CLD).Methods:In this study, analysis of the medical records and clinical details of the patients of CLD who had undergone polysomnography were analyzed after appropriate inclusion in study as per inclusion and exclusion criteria. After assessing the eligibility criteria, a total of 78 patients were included in the final analysis. Nocturnal hypoxemia was gauged from the baseline oxygen saturation record of study. Presence and severity of OSA were graded as per American Academy of Sleep Medicine (AASM) criteria. The primary objective of the study was to determine the association between OSA severity and nocturnal hypoxemia to the presence of Non-alcoholic Fatty Liver Disease (NAFLD). Secondary objectives were to assess the association of OSA severity and extent of nocturnal hypoxemia to the BMI and to determine the proportions of NAFLD subjects with OSA.Results:A total of 78 patients were screened, of which only 11 (14.1%) were female. Out of these, 56 (71.8%) were classified to MAFLD group while 22 (28.2%) were to the non-MAFLD group. The patients in MAFLD group with mean age of 56.02 years were older as compared to non-MAFLD with mean age of 51.05 years but that was not statistically different. Patients were categorized into MAFLD (n = 56) and non-MAFLD, representing other etiologies of CLD (n = 22; ethanol, chronic Hepatitis B virus (HBV), chronic Hepatitis C virus (HCV), cryptogenic, Non-cirrhosis portal fibrosis (NCPF), Primary sclerosing cholangitis (PSC), Autoimmune hepatitis (AIH), sarcoidosis, Wilson's disease). The mean BMI was significantly higher in MAFLD in comparison to non-MAFLD (34.51 ± 8.79 vs. 25.47 ± 5.75; P = 0.000) and also the median AHI of MAFLD group was significantly higher than the non-MAFLD 4.95 {(1.85, 25.47) vs. 0.85 (0.30, 2.72) (P value < 0.000)} [Table 1]. Among the desaturation indices, the number of desaturations >3% {median of 122.50 (75.00, 241.25) vs. 63.00 (13.75, 158.00), P value 0.009} and average desaturation {mean of (5.04 ± 2.16) vs. (3.78 ± 1.226)%, P value 0.002} were significantly higher in MAFLD versus non-MAFLD group [Table 2]. The AHI and all desaturation parameters, although not statistically significant, were worst in Child B [Table 3].Conclusion:MAFLD patients have higher prevalence and greater severity of OSA and worse nocturnal desaturation parameters as compared to non-MAFLD patients. OSA is independent of obesity among patients of CLD, but prevalent among NAFLD group. Further prospective studies are needed among MAFLD and OSA patients to elucidate the mechanism linking pathophysiology of OSA-MAFLD and guide therapy.

The effect of apnea management on novel coronavirus infection: A study on patients with obstructive sleep apnea

ObjectiveTo assess the frequency of coronavirus disease-2019 (COVID-19) and the effect of obstructive sleep apnea (OSA) management on COVID-19 among patients with confirmed OSA. DesignCross-sectional telephone interview survey. SettingAcademic sleep labs. ParticipantsIranian adults ≥ 18 years old with confirmed OSA. ResultsAmong 275 participants with OSA, 20% (n = 55) were suspected to have history of COVID-19 but had no positive test, and 18% (n = 51) were in the definite COVID-19 group according to their reported symptoms or confirmed positive test. Having severe OSA (apnea hypopnea index ≥ 30) was associated with an increased risk of definite COVID-19, with an odds ratio (OR) with 95% confidence interval (95% CI) of 2.31 (0.87-5.55) compared to having mild OSA in definite COVID-19 group. Those not undergoing treatment for OSA had an OR (95% CI) of 2.43 (1.26-4.67) for definite COVID-19 compared to those accepting treatment in definite COVID-19 group. Total sleep times (TSTs) were 354, 340, and 320 minutes in healthy, suspected, and COVID-19 groups, respectively; TST was associated with COVID-19 (P-value = .04). Similarly, sleep efficiency (SE) scores were 75.7, 74.2, and 67.9% for the healthy, suspected, and COVID-19 groups, respectively (P-value = .005); Beck Depression scores were 13.8, 13.0, and 17.7, respectively (P-value = .056). ConclusionsOSA as a proinflammatory condition with multiple comorbidities may be a contributing factor to developing COVID-19. Greater OSA severity, no treatment for OSA, and lower TST and SE were associated with increased COVID-19 prevalence among patients with OSA.

Prevalence of several somatic diseases depends on the presence and severity of obstructive sleep apnea.

Study objectivesThe objective was to investigate the prevalence of heart attack, angina pectoris, stroke, hypertension, diabetes mellitus, chronic obstructive pulmonary disease, asthma and obesity in relation to the presence and severity of obstructive sleep apnea.MethodsThe sample consisted of 1887 patients, with mean age of 48.6 years (range 16–83 years), referred to a university hospital on suspicion of obstructive sleep apnea. The patients filled out a questionnaire asking whether they were previously diagnosed with the comorbidities in interest. Obstructive sleep apnea was diagnosed and categorized based on a standard respiratory polygraphic sleep study using a type 3 portable monitor. The patients’ weight, height and blood pressure were measured during the consultations.ResultsIn total, 37.9% were categorized as not having obstructive sleep apnea (Apnea-hypopnea index <5), 29.6% mild obstructive sleep apnea (Apnea-hypopnea index 5–14.9), 17.3% moderate obstructive sleep apnea (Apnea-hypopnea index 15–29.9), and 15.2% severe obstructive sleep apnea (Apnea-hypopnea index ≥30). The prevalence of heart attack, angina pectoris, hypertension, measured systolic blood pressure ≥140 mmHg, measured diastolic blood pressure ≥90 mmHg, diabetes mellitus and obesity (body mass index≥30) were higher with greater obstructive sleep apnea severity. Logistic and linear regression analyses showed that these comorbidities were positively associated with obstructive sleep apnea severity. This was not the case for stroke, chronic obstructive pulmonary disease and asthma. After adjustment for sex, age, alcohol and smoking in the logistic regression analyses, hypertension, measured systolic blood pressure ≥140 mmHg, measured diastolic blood pressure ≥90 mmHg and obesity remained positively associated with obstructive sleep apnea severity.ConclusionsA higher prevalence of heart attack, angina pectoris, hypertension, diabetes mellitus, and obesity was seen with greater obstructive sleep apnea severity. Obesity and hypertension, conditions easy to clinically assess, appear as the most central comorbidities with greater obstructive sleep apnea severity.

The association of obstructive sleep apnea and renal outcomes\u2014a systematic review and meta-analysis

The aim of this systematic review and meta-analysis was to summarize the association of obstructive sleep apnea (OSA) with renal outcome. Our study followed the PRISMA guidelines. Two independent reviewers searched for relevant articles in the databases of Pubmed, the Web of Science and CENTRAL, and conducted study selection and quality assessment. A random-effect model was used to estimate the effects. total of 1240 articles were initially identified (Pubmed = 568, Web of Science = 640, CENTRAL = 32). After removal of duplicate articles (n = 415) and irrelevant articles (n = 788), 37 were selected for full-text review, and 18 were finally included in the analysis. Overall, patients diagnosed with OSA were found to have a higher odds ratio (OR) of a poorer renal outcome, with a pooled OR of 1.77 (95% C.I.: 1.37–2.29). The significant association between OSA and a poorer renal outcome was not affected by the medical condition of diabetes mellitus (DM). In addition, we found that OSA was consistently associated with higher albuminuria/proteinuria and a lower estimated glomerular filtration rate (eGFR), with a pooled OR of 1.84 (95% C.I.: 1.24–2.73) and 1.60 (95% C.I.: 1.19–2.16), respectively. A greater OSA severity was also found to be related to a higher OR, with a mild group OR of 1.45 (95% C.I.: 1.19–1.77) and a moderate and severe group OR of 2.39 (95% C.I.: 1.96–2.90). Our study demonstrated that OSA is significantly associated with poorer renal function.

Characterization of Patients Who Present With Insomnia: Is There Room for a Symptom Cluster-Based Approach?

This study examined empirically derived symptom cluster profiles among patients who present with insomnia using clinical data and polysomnography. Latent profile analysis was used to identify symptom cluster profiles of 175 individuals (63% female) with insomnia disorder based on total scores on validated self-report instruments of daytime and nighttime symptoms (Insomnia Severity Index, Glasgow Sleep Effort Scale, Fatigue Severity Scale, Beliefs and Attitudes about Sleep, Epworth Sleepiness Scale, Pre-Sleep Arousal Scale), mean values from a 7-day sleep diary (sleep onset latency, wake after sleep onset, and sleep efficiency), and total sleep time derived from an in-laboratory PSG. The best-fitting model had three symptom cluster profiles: "High Subjective Wakefulness" (HSW), "Mild Insomnia" (MI) and "Insomnia-Related Distress" (IRD). The HSW symptom cluster profile (26.3% of the sample) reported high wake after sleep onset, high sleep onset latency, and low sleep efficiency. Despite relatively comparable PSG-derived total sleep time, they reported greater levels of daytime sleepiness. The MI symptom cluster profile (45.1%) reported the least disturbance in the sleep diary and questionnaires and had the highest sleep efficiency. The IRD symptom cluster profile (28.6%) reported the highest mean scores on the insomnia-related distress measures (eg, sleep effort and arousal) and waking correlates (fatigue). Covariates associated with symptom cluster membership were older age for the HSW profile, greater obstructive sleep apnea severity for the MI profile, and, when adjusting for obstructive sleep apnea severity, being overweight/obese for the IRD profile. The heterogeneous nature of insomnia disorder is captured by this data-driven approach to identify symptom cluster profiles. The adaptation of a symptom cluster-based approach could guide tailored patient-centered management of patients presenting with insomnia, and enhance patient care.

Craniocervical Posture in Patients with Obstructive Sleep Apnea.

Introduction Obstructive Sleep Apnea (OSA) is characterized by repeated episodes of upper airway obstruction during sleep.Objective The objective of this study is to verify the craniofacial characteristics and craniocervical posture of OSA and healthy subjects, determining possible relationships with the apnea/hypopnea index (AHI).Methods This case-control study evaluated 21 subjects with OSA, who comprised the OSA group (OSAG), and 21 healthy subjects, who constituted the control group (CG). Cephalometry analyzed head posture measurements, craniofacial measurements, and air space. Head posture was also assessed by means of photogrammetry.Results The groups were homogeneous regarding gender (12 men and 9 women in each group), age (OSAG = 41.86 ± 11.26 years; GC = 41.19 ± 11.20 years), and body mass index (OSAG = 25.65 ± 2.46 kg/m2; CG = 24.72 ± 3.01 kg/m2). We found significant differences between the groups, with lower average pharyngeal space and greater distance between the hyoid bone and the mandibular plane in OSAG, when compared with CG. A positive correlation was found between higher head hyperextension and head anteriorization, with greater severity of OSA as assessed by AHI.Conclusion OSAG subjects showed changes in craniofacial morphology, with lower average pharyngeal space and greater distance from the hyoid bone to the mandibular plane, as compared with healthy subjects. Moreover, in OSA subjects, the greater the severity of OSA, the greater the head hyperextension and anteriorization.

Metabolic alterations in adolescents with obstructive sleep apnea

ImportanceObesity is one of the leading health concerns in developed and in developing countries. The risk of obstructive sleep apnea (OSA) is greatly increased by obesity. Obesity is known to be associated with the Metabolic Syndrome and cardiovascular disease in adults. This same association in children is not well defined. Understanding the relationship of obesity, OSA, and metabolic alterations in children would improve understanding of the risks of cardiovascular disease into adulthood. ObjectiveTo evaluate the association of OSA and metabolic outcomes, including lipid variables and insulin resistance, in obese adolescents. MethodsRetrospective, case-control series at a tertiary care children's hospital. Obese adolescents aged 12–18 years who underwent overnight polysomnography (PSG) and routine laboratory testing for lipid levels, fasting glucose, and insulin from January 1, 2006 to December 31, 2012. ResultsA total of 42 patients with a mean age of 14.1±1.9 years were analyzed. Nineteen (45.2%) were male. The mean body mass index (BMI) z score was 2.23±0.86, and all patients were obese (BMI z score >95th percentile). Triglyceride, fasting blood glucose, insulin, and homeostasis model assessment-insulin resistance (HOMA-IR) levels were significantly higher in patients with OSA when compared to those with No-OSA (p<0.01). There was incremental worsening of insulin and HOMA-IR with greater severity of OSA. The apnea–hypopnea index (AHI) was positively and significantly correlated with blood glucose and HOMA-IR (p=0.01and p<0.001, respectively). Multiple linear regression analysis showed that the AHI was a predictor of blood glucose (p=0.04) and HOMA-IR (p=0.01) independent of age, gender, total sleep time and BMI z score. Logistic regression analysis showed that elevated levels of blood glucose predicted severe OSA (p=0.02) independent of gender and BMI z score. Elevation in HOMA-IR predicted severe OSA (p=0.004). ConclusionOSA severity is associated with increased fasting insulin, blood glucose and HOMA-IR even after controlling for the age, and BMI z score in adolescents.

Long-term adherence to continuous positive airway pressure therapy in non-sleepy sleep apnea patients

ObjectiveThe effectiveness of continuous positive airway pressure (CPAP) therapy greatly depends on consistent use. However, data regarding adherence in non-sleepy obstructive sleep apnea (OSA) patients are scarce. The aim of this study was to assess long-term adherence and predictors of CPAP compliance in a large sample of non-sleepy OSA patients. MethodsWe conducted a prospective, multicenter study comprising 357 non-sleepy patients (Epworth Sleepiness Scale score <11) with moderate-to-severe OSA (apnea–hypopnea index [AHI] of ≥20) who began CPAP therapy between May 2004 and May 2006; follow-up ended in May 2009. Non-compliance was scored as CPAP dropout or average cumulative CPAP use of <4 hours per night. Multivariate Cox regression analysis was performed to identify independent predictors of poor CPAP adherence. ResultsPatients were followed up for a median of four years (interquartile range [IQR] = 3.0–4.4). At the end of the study period, 230 patients (64.4%) fulfilled the criteria for good CPAP compliance, whereas 127 patients (35.6%) were considered non-compliant. The median CPAP use was five hours per night (interquartile range = 2.18–6.25). Multivariate analysis showed that interactions between the AHI and the percentage of nighttime spent with an O2 saturation of <90% (TC90) (p = 0.010) and between the AHI and hypertension at baseline (p = 0.029) predicted long-term compliance with CPAP. ConclusionThis study demonstrates that CPAP treatment is feasible in non-sleepy, moderate-to-severe OSA patients. Good CPAP adherence was predicted by greater OSA severity as measured by both the AHI and TC90 and by the presence of hypertension at baseline in patients with higher AHI levels.

Prevalence of excessive sleepiness is higher whereas insomnia is lower with greater severity of obstructive sleep apnea.

The objective of the present study was to investigate the prevalence of insomnia and excessive sleepiness in relation to the presence and severity of obstructive sleep apnea (OSA). The sample consisted of patients referred to a university hospital on suspicion of OSA. In total, 1115 patients with mean age of 48years were studied. Insomnia (Bergen Insomnia Scale) and excessive sleepiness (Epworth Sleepiness Scale) were diagnosed using validated questionnaires. The insomnia scale permits diagnosing insomnia using both old and new (from 2014) criteria. OSA was diagnosed and categorized based on a standard respiratory polygraphic sleep study using a type 3 portable monitor. OSA was diagnosed in 59.4% of the referred patients. The prevalence of excessive sleepiness was higher with greater severity of OSA: 40.5% in the patients without OSA (apnea-hypopnea index (AHI) <5), 46.5% in mild OSA (AHI 5-14.9), 52.0% in moderate OSA (AHI 15-29.9), and 58.0% in severe OSA (AHI 30 or above). In contrast, the prevalence of insomnia using the 2014 diagnostic criteria showed an opposing prevalence: 54.2% no OSA, 54.9% mild OSA, 48.5% moderate OSA, and 44.6% severe OSA. Logistic and linear regression analyses showed that sleepiness was positively associated whereas insomnia was negatively associated with OSA severity and AHI. Both excessive sleepiness and insomnia were seen in high proportions of the patients referred on suspicion of OSA. Excessive sleepiness was higher whereas insomnia was lower with greater OSA severity.

Obstructive sleep apnea in patients with end-stage lung disease.

Little is known about the rate of obstructive sleep apnea (OSA) in patients with end stage lung disease (ESLD). Given the potential deleterious effect of OSA in these patients, we assessed the case-rate and severity of OSA and described associated patient characteristics. Retrospective survey of 60 patients with ESLD referred for lung transplantation evaluation. Demographic, polysomnographic, spirometric, and medication utilization data were extracted and analyzed. As demographic and polysomnographic data did not differ between obstructive and restrictive patients, we present analysis of pooled data. Demographics/physiology: median age was 58.5 years, 52% males, mean BMI 32.3 kg/m(2), 52% obstructive. Sleep variables (all medians): total sleep time (TST) 312 min, sleep efficiency 77%, minimal oxygen saturation 84%, apnea hypopnea (AHI) 9.7, respiratory disturbance index (RDI) 12.7 events/h of sleep. Sixty-seven percent had RDI > 5; 21% had RDI between 15 and 30; and 21% had RDI > 30. Periodic limb movement index ≥ 15/h sleep was present in 21.7%. An independent positive correlation between DLCO% and RDI was noted (r = 0.41, p < 0.01). The minimal oxygen saturation was negatively correlated with the RDI (r = -0.34, p < 0.01). The use of ACE inhibitors was associated with moderate-to-severe OSA (odd ratio of 4.67, CI 1.45-15.03; p = 0.017). In patients with ESLD, organic sleep disorders are common. Greater severity of OSA was associated with the higher DLCO% and lower oxygen saturation.

Body Fat Distribution and Sleep Apnea Severity in Women

The contribution of body fat distribution to sleep-disordered breathing in women has not been examined in detail (to our knowledge). Fifty women under 65 years of age were diagnosed as having obstructive sleep apnea (OSA) by all-night polysomnography in a 6-month period. Twenty-five women underwent body fat measurements of skin folds and circumferences. The 12 premenopausal and 13 postmenopausal women did not differ in regard to apnea hypopnea index (AHI), SaO2 nadir, body mass index (BMI), or anthropometric measurements. The AHI for these 25 patients was related to the severity of obesity assessed by triceps and subscapular skin folds, the sum of the skin folds, waist circumference, and BMI. The SaO2 nadir correlated with triceps and subscapular skin folds, the sum of the skin folds, and neck skin fold. Clinical features of this same group of 25 women were then compared with those of 45 men with OSA previously described by our laboratory. The women, despite similar age, had less severe OSA than the men (AHI of 34.4 +/- 5.4 vs 51.1 +/- 4.9, p < 0.05). Despite similar BMIs and waist circumference, the men had evidence of a greater degree of upper body obesity with a larger subscapular skin fold thickness, waist-hip ratio, and neck circumference. In addition, for a given degree of upper-body obesity, men had more severe sleep apnea. These findings may explain, at least in part, the greater severity of OSA in the men.