Sleep and Breathing最新文献

Purpose: Sleep disturbances are common in patients with breast cancer, but comprehensive evaluations with patient-reported outcomes (PRO) and sleep evaluation with polysomnography (PSG) are lacking. This study describes sleep disruption using PROs and PSG to identify underlying sleep disorders.

Methods: A retrospective review of patients with breast cancer undergoing formal sleep evaluation from 4/1/2009 to 7/31/2014 was performed. Clinical characteristics, PROs using Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS), and PSG data were reviewed.

Results: 404 patients were identified with 43% early, 30% locally advanced and 17% metastatic disease. PSQI revealed poor sleep in 75%, and ESS demonstrated daytime sleepiness in 55%. Sleep aid use was reported by 39%, and pain medication use in 22%. Most patients (50.2%) had multiple sleep disorders. Insomnia (54.5%) was the most frequent sleep disorder, followed closely by obstructive sleep apnea (OSA) (53.7%). PSG was performed in 74%. Multivariate analysis linked poor sleep to use of sleep aids [OR 7.7, 95% CI 3.9 to 15.2], anxiety disorder [OR 4.8, 95% CI 1.7 to 14.0], and metastatic disease [OR 2.8, 95% CI 1.1 to 6.6]. Daytime sleepiness correlated with known diagnosis of OSA [OR 1.9, 95% CI 1.0 to 3.3] and sleep aid use [OR 0.6, 95% CI 0.4 to 0.9].

Conclusions: Poor sleep was associated with sleep aid use, anxiety disorder and metastatic disease. Insomnia was the most common sleep disorder, followed by OSA (mostly mild). Education about sleep health and proactive screening for sleep symptoms would be beneficial in patients with breast cancer.

Purpose: Numerous researches have demonstrated that sleep quality deteriorates during menopause, but the prevalence rates vary between studies. The purpose of this meta-analysis was to determine the pooled prevalence of poor sleep quality during menopause and to explore potential moderators of discrepancies in prevalence between studies.

Methods: Web of Science, PubMed, PsycINFO and Embase databases were comprehensively searched from database creation to June 19, 2024. Studies were included if they focused on menopausal women and provided an estimate of the prevalence of poor sleep quality, which could be derived from the Pittsburgh Sleep Quality Index (PSQI).

Results: Totally, 37 studies with 29,284 menopausal women were included in the analysis. A meta-analysis based on a random-effects model revealed that the prevalence of poor sleep quality during menopause was 50.8% (95% CI: 45.4-56.3%). The PSQI score was 6.24 (95% CI: 5.73-6.75). Subgroup analyses indicated that cut-off values of PSQI, menopausal status, age range, depressive symptoms and geographic region moderated the prevalence of poor sleep quality. Meta-regression analyses indicated that quality score was negatively correlated with the pooled prevalence.

Conclusions: Poor sleep quality is a prevalent phenomenon among women during menopause. In light of the numerous adverse effects of poor sleep quality on menopausal women, it is of paramount importance to assess sleep quality on a regular basis and to implement effective interventions for menopausal women.

Background: Mortality predictors in obstructive sleep apnea (OSA) patients yet to be comprehensively understood, especially within large cohorts undergoing long-term follow-up. We aimed to determine the independent predictors of mortality in OSA patients.

Methods: In our retrospective cohort study, 3,541 patients were included and survival data was obtained from electronic medical records. Demographic characteristics, anthropometric measurements, comorbidities, laboratory tests, and polysomnography parameters were analyzed for the survived and deceased patient groups. Univariate and multivariate Cox regression analyses were performed to determine independent predictors of all-cause mortality in patients followed for at least 5 years.

Results: Among all patients, 2,551 (72%) patients were male, with a mean age of 49.7 years. 231 (6.5%) patients had died. Deceased patients were significantly older and had higher waist-to-hip ratio and Epworth Sleepiness Scale (p < 0.001, p < 0.001, p = 0.003). OSA (nonpositional and not-rapid eye movement-related), periodic limb movements in sleep and Comorbidities of Sleep Apnea Score ≥ 1 were found to be associated with increased mortality (p < 0.001). Systemic immune-inflammation index was also significantly higher in the deceased group (p < 0.001). Higher oxygen desaturation index (ODI) and apnea-hypopnea index (AHI) were associated with increased mortality (p < 0.001). Due to the high correlation between ODI and AHI, two separate multivariate Cox regression models were created. While AHI lost its significance in the multivariate analysis, ODI remained significantly higher in the deceased patient group (HR = 1.007, 1.001-1.013, p = 0.01).

Conclusion: ODI, as the only polysomnography parameter, emerged as an independent predictor of mortality in OSA patients.

Objective: To explore the differences and associations of hypoxic parameters among distinct types of respiratory events in patients with obstructive sleep apnea (OSA) and to construct prediction models for the types of respiratory events based on hypoxic parameters.

Methods: A retrospective analysis was conducted on a cohort of 67 patients with polysomnography (PSG). All overnight recorded respiratory events with pulse oxygen saturation (SpO₂) desaturation were categorized into four categories: hypopnea (Hyp, 3409 events), obstructive apnea (OA, 5561 events), central apnea (CA, 1110 events) and mixed apnea (MA, 1372 events). All event recordings were exported separately from the PSG software as comma-separated variable (.csv) files, which were imported into custom-built MATLAB software for analysis. Based on 13 hypoxic parameters, artificial neural network (ANN) and binary logistic regression (BLR) were separately used for construction of Hyp, OA, CA and MA models. Receiver operating characteristic (ROC) curves were employed to compare the various predictive indicators of the two models for different respiratory event types, respectively.

Results: Both ANN and BLR models suggested that 13 hypoxic parameters significantly influenced the classification of respiratory event types; The area under the ROC curves of the ANN models surpassed those of traditional BLR models respiratory event types.

Conclusion: The ANN models constructed based on the 13 hypoxic parameters exhibited superior predictive capabilities for distinct types of respiratory events, providing a feasible new tool for automatic identification of respiratory event types using sleep SpO₂.

Background/aims: The role of neuroticism in predicting nightmare distress have been highlighted, and negative coping style may contribute to this relationship, but how these variables interact is limited. The present study aimed to explore how neuroticism and ruminative response contribute to producing nightmare distress, and to explore whether sex influences this relationship.

Methods: We recruited 758 university students, aged an average of 19.07. A moderated mediation model was built to examine the relationships among neuroticism, rumination, and nightmare distress (measured by dream anxiety scale), and explore whether sex could affect this relationship, using the SPSS PROCESS 3.5 macro.

Results: The moderated mediation analyses results showed that ruminative response-depression related can significantly partially mediate the relationship between neuroticism and dream anxiety (β = 0.32), dream anxiety-sleep-related disturbances (β = 0.11) and dream anxiety-daytime dysfunctions (β = 0.21). However, the moderating effects of sex were not significant in all path from neuroticism to dream anxiety.

Conclusion: The study provides a novel architecture on the underlying psychological mechanisms of neuroticism and nightmare distress. This interplay is assumed to be facilitated by ruminations, suggesting that interventions for individuals who suffer from nightmares may focus on their repetitive negative response strategies, especially in people with high neuroticism, irrespective of sex differences.

Purpose: Obstructive Sleep Apnea (OSA) is the most common sleep-related disorder. Interoception is the collection of sensory and cognitive processes that involve receiving and interpreting physiological signals from internal body structures and conveying the perception of inner sensations. In this study, it was hypothesized that the impairment in cognitive functions associated with chronic hypoxemia and the insular effects due to OSA would negatively affect interoceptive functions. The aim of this study was to evaluate whether interoception in OSA changes consistent with the hypothesis.

Methods: A total of 102 patients diagnosed with OSA were included in this study. All participants were divided into groups based on their T90 values: desaturated OSA (T90 ≥ 20%) and non-desaturated OSA (T90 < 20%). The Heartbeat Counting Task was used to assess interoceptive accuracy, while the Interoceptive Sense Questionnaire (ISQ) was employed to identify subjective challenges in evaluating interoception.

Results: Interoceptive accuracy was lower in the desaturated OSA group than in the non-desaturated OSA group (Z = -2.463; p = 0.014). Interoceptive accuracy was negatively correlated with the body mass index (r = -0.228; p = 0.021), T90 (r = -0.269; p = 0.006), and positively correlated with the average SaO2 (r = 0.377; p < 0.001) and SaO2 nadir (r = 0.243; p = 0.014).

Conclusion: This study examined interoceptive functions in patients with OSA. It was concluded that interoceptive accuracy is affected by the severity of hypoxia as hypothesized.

Purpose: Upper airway (UA) surgery is commonly employed in the treatment of patients with obstructive sleep apnea (OSA). The intricate pathophysiology of OSA, variability in sites and patterns of UA collapse, and the interaction between anatomical and non-anatomical factors in individual patients may contribute to possible surgical failures. This clinical consensus statement aims to identify areas of agreement among a development group comprising international experts in OSA surgery, regarding the appropriate definition, predictive factors in patients, and management of surgical failure in OSA treatment.

Methods: A clinical consensus statement (CCS) was developed using the Delphi method by a panel of 35 contributors from various countries. A systematic literature review adhering to PRISMA guidelines was conducted. A survey consisting of 60 statements was then formulated and presented to the experts.

Results: Following two rounds of the Delphi process, consensus or strong consensus was achieved on 36 items, while 24 items remained without consensus. Specifically, 5 out of 10 statements reached consensus regarding on the 'Definition of Surgical Success/Failure after OSA Surgery'. Regarding the 'Predictive Factors of Surgical Failure in OSA Surgery', consensus was reached on 10 out of 13 statements. In the context of the 'Diagnostic Workup in OSA Surgery', consensus was achieved on 9 out of 13 statements. Lastly, in 'Treatment in Surgical Failure Cases', consensus was reached on 12 out of 24 statements.

Conclusion: The management of OSA after surgical failure presents a significant clinical challenge for sleep specialists. This CCS provides valuable guidance for defining, preventing, and addressing surgical failures in the treatment of OSA syndrome.

Purpose: Obstructive Sleep Apnea Syndrome (OSAS) and Obesity Hypoventilation Syndrome (OHS) share common causal factors and comorbidities but may have a variable effect on physical activity and associated quality of life, due to differences in pathophysiology. The aim of this study was to compare the levels of physical activity, mental health and quality of life between matched obese patients with either OSAS or OHS, aiming to identify which of the two syndromes may impose the most severe impact on these variables, for the first time in literature.

Methods: A total of 76 obese patients (OSAS: Ν1 = 48, OHS: N2 = 26) of similar age (58.2 ± 12.2 vs. 63.6 ± 9.8; p > 0.05), BMI (37.2 ± 6.2 vs. 40.3 ± 7.3; p > 0.05), and Apnea-Hypopnea Index (AHI) under non-invasive ventilation, completed International Physical Activity Questionnaire (IPAQ), Short-Form Health Questionnaire (SF-36), Personal Well-Being (PWB) Scale and Hospital Anxiety and Depression Scale (HADS-A and HADS-D), in this cross-sectional study.

Results: Both groups had similar scores in SF-36, HADS-A and HADS-D, while prevalence of clinical cases of anxiety (HADS-A > 8) and depression (HADS-D > 8) were also similar. OSAS patients scored significantly higher in physical activity [absolute IPAQ values 1100.75(7753.5) for OSAS vs. 518(3806) for OHS; p = 0.029]. Group comparisons yielded significant differences in physical functioning (p < 0.05) and general health perceptions (p < 0.05), in favor of the OSAS group.

Conclusion: Both syndromes significantly affect patients' quality of life and physical activity, with the burden being heavier for OHS patients. Daily physical activity seems to be more impaired among obese OHS patients perhaps due to daytime hypercapnia.

Background: Mandibular advancement devices (MAD) are a well-established treatment option for obstructive sleep apnea (OSA). MAD are considered preferably for patients with mild to moderate OSA presenting with a elevated night-to-night variability (NNV). This study aimed to determine the treatment effect of MAD on NNV considering different protrusion distances and patient related outcome (PRO).

Methods: We conducted a prospective cohort analysis of patients before MAD with 60% and 80% of the maximum protrusion. OSA severity was assessed using a home-sleep test for two consecutive nights. PRO contained the Epworth Sleepiness Scale (ESS) and sleep related quality of life (FOSQ).

Results: Twenty patients with a median overweight body-mass-index of 27.1 (interquartile range (IQR) 16.3 kg/m²), with a mainly mild to moderate OSA with an apnea -hypopnea index (AHI) of 18.3 / h (IQR 17.7) and elevated ESS of 12.5 (IQR 8.0) were included. As opposed to 80%, 60% protrusion significantly but not 80% relevantly reduced AHI (60%%: 11.2 (IQR 5.5)/h, p = 0.01; 80%: 12.9 (IQR18,0)/h, p = 0.32) and improved the ESS (60%: 8.0 (IQR 10,0); 80%: 10 (IQR 9.0)), with therapy settings. No correlation could be detected between NNV and ESS, and FOSQ changes. Higher baseline NNV was associated with severe OSA (p = 0.02) but not with gender, overweight, or status post-tonsillectomy.

Conclusions: OSA improvement is associated with lower NNV; both OSA and NNV are connected to the degree of protrusion. Therefore, higher NNV does not justify the exclusion of candidates for MAD treatment. PRO changes are not visibly affected by NNV but by general OSA changes. These findings may help to define and optimize future study designs for the primary outcome decision between objective OSA parameters and PRO.