Individual Sleep Research Articles

Effect of pet therapy on sleep and life quality of elderly individuals.

The study aimed to determine the sleep and life quality of elderly individuals living in a nursing home using pet therapy, a complementary and supportive therapy. The study was conducted with elderly individuals in a nursing home in Tokat province in Turkey. The study sample consisted of 59 elderly individuals, with 30 in the intervention group and 29 in the control group, who met the inclusion criteria. Pet therapy was applied to elderly individuals twice a week for 6 weeks for a total of 12 sessions as a randomized controlled trial to determine the effect of pet therapy on sleep and life quality. While pet therapy was applied to the individuals in the intervention group, the control group was no pet theraphy. It was determined that the sleep and life quality of the individuals in the intervention group increased statistically and significantly. There was no statistically significant difference in the change in sleep and life quality of individuals in the control group. A statistically significant difference was determined between the intervention and control groups regarding sleep and life quality. Pet therapy was determined to significantly improve the sleep and life quality of elderly individuals living in a nursing home. Geriatr Gerontol Int 2025; ••: ••-••.

Cross-sectional and longitudinal association of sleep patterns and aneurysmal vulnerability biomarkers on high-resolution magnetic resonance vessel wall imaging

BackgroundAneurysm wall enhancement (AWE) on vessel wall imaging (VWI) scans is a robust biomarker for aneurysmal vulnerability. This study aimed to explore the association of different sleep patterns with AWE...

Effects of physical activity on patients with posttraumatic stress disorder: A systematic review and meta-analysis of randomized controlled trials.

Although it is often known that physical activity can effectively reduce anxiety and despair, differing results have been found for patients with posttraumatic stress disorder (PTSD) symptoms. This study sought to comprehensively examine how physical activity affected the quality of sleep, anxiety, sadness, and PTSD in individuals suffering from PTSD. The Cochrane Library, PubMed, Web of Science, EMBASE, and Scopus databases in English were examined. Included were all randomized controlled trials (RCTs) that examined physical activity as a psychosocial remedy for PTSD sufferers. By the time of the meta-analysis search (February 2024), we had 12 RCT studies that met the eligibility requirements. The study's findings demonstrated that physical activity improved sleep quality (standardized mean differences [SMD] = -0.38, 95% CI [-0.59, -0.18], Z = 3.65, P = .0003), anxiety (SMD = -0.26, 95% CI [-0.47, -0.06], Z = 2.5, P = .01), depression (SMD = -0.19, 95% CI [-0.37, -0.01], Z = 2.09, P = .04), and PTSD (SMD = -0.34, 95% CI [-0.50, -0.17], Z = 3.99, P < .0001). Each intervention ≤ 60 (SMD = -0.52, I2 = 0%, P < .00001), frequency of interventions ≤ 2 per week (SMD = -0.44, I2 = 7%, P = .0004), intervention cycles > 10 (SMD = -0.46, I2 = 8%, P < .0001), and the yoga group (SMD = -0.44, I2 = 7%, P = .0004) had the best impact, according to subgroup analyses. Veterans with PTSD responded most significantly to physical activity (SMD = -0.60, I2 = 0%, P = .002). It was discovered that people with PTSD can benefit from physical activity as an adjuvant method to enhance their PTSD, anxiety, despair, and sleep quality. Yoga has been found through research to help the symptoms of people with PTSD more than other sports. Due to limitations such as small sample size and some heterogeneity in this meta-analysis, further confirmation through more scientific and objective RCTs is needed in order to obtain definitive conclusions on physical activity for patients with PTSD.

The Impact of Relaxation Massage Prior to Bedtime on Sleep Quality and Quantity in People with Symptoms of Chronic Insomnia: A Home-Based Sleep Study.

Background/Objectives: Manual massage is an effective treatment approach for reducing general stress and promoting an overall sense of well-being. Relaxation massage aims to alleviate psychophysiological tension, enhance both blood and lymphatic circulation, and promote mental and physical relaxation. It is particularly beneficial for those with anxiety-related symptoms (such as generalized anxiety disorder and social anxiety) and sleep disorders, aiming to improve calmness and promote sleepiness. Aims: The purpose of the present study was to assess the effectiveness of a single session of relaxation massage prior to bedtime on sleep quality and quantity indices in individuals with symptoms of chronic insomnia. Methods: In total, 20 (N = 20) healthy individuals (aged 25.5 ± 12.0 years; 6F/14M) with a score on the Athens Insomnia Scale of ≥16 participated under three different conditions over one week apart: (1) a 45 min relaxation massage condition (REL), (2) a 45 min sham massage condition (PLA), and (3) a control condition with no massage. Sleep activity was monitored using a portable polysomnographic system. Results: A statistically significant effect was observed between sleep efficiency across the three sessions (p = 0.034), with a notable effect in the relaxation massage (REL) session (p = 0.045). Additionally, sustained sleep efficiency showed a statistically significant difference among the sessions (p = 0.005). Conclusions: Relaxation massage prior to bedtime could be used as an effective and safe non-pharmacological approach for improving sleep efficiency and potentially restoring the fragmented sleep of individuals with symptoms of insomnia. Trial registration number: The trial was registered at clinicaltrials.gov as NCT06781866.

“Cuddle buddies”: Couples sleep position closeness at onset is indirectly related to lower insecure attachment through lower couple perceived stress

Prior research on couples’ physical closeness during sleep (“cuddling”) suggests a benefit to relationship satisfaction and that affectionate touch during sleep onset may also improve mood and stress. Importantly, however, this initial research has yet to connect couples’ physical sleep positions at onset with attachment insecurity, stress, or sleep quality. Utilizing dyadic data from 143 mixed-gender, heterosexual bed-sharing couples, the present study examined the associations between couples’ average physical closeness at sleep onset, perceived stress, attachment insecurity, and sleep disturbance. We utilized a series of chi square tests of independence as well as the Common Fate Mediation Model (CFMeM) in Structural Equation Modeling (SEM) with accompanying procedures to test alternative ordered models against our hypothesized model. We also included daytime sleepiness, income, age, relationship length, if children or pets sleep in the bed, and sleep diagnoses as important covariates. Results revealed no significant associations between individual preferred sleep position and couple physical sleep position. In addition, more physically close couple sleep positions at onset were indirectly linked with lower couple insecure attachment through lower couple stress. No significant associations were found between physical closeness at sleep onset and sleep disturbance. Although the present data were cross-sectional and future research is needed, physical closeness at sleep onset may be a promising and amenable avenue for improving relational and physiological well-being.

Multidimensional Sleep Health, Glycemic Control, and Self-Reported Outcomes in Type 1 Diabetes: A Cross-Sectional Study.

Sleep health is multidimensional. While studies have shown associations between certain sleep dimensions and health in type 1 diabetes (T1D), global sleep health has rarely been considered. To examine the associations between individual sleep dimensions and multidimensional sleep health (MSH) on glycemic control and self-reported outcomes in T1D. Data from 116 adults with T1D participating in a sleep study (NCT04506151) were analyzed. Sleep satisfaction and alertness were assessed by questionnaires. Sleep timing, efficiency, duration, and regularity were derived from 7-day actigraphy. A composite MSH score was created by counting "healthy sleep" across these six measures. Glycemic control was assessed by 7-day continuous glucose monitoring and A1C. Self-reported outcomes were collected through questionnaires. After adjusting for covariates, greater sleep irregularity was associated with higher glycemic variability (b=5.048, p<0.01), less time in range (TIR) (b=-10.806, p<0.01), higher time above range (TAR) (b=7.40, p<0.05), and higher A1C (b=0.365, p<0.05)]. Poor sleep satisfaction was associated with higher diabetes distress and depression (b=0.29, p<0.05, b=3.59, p<0.05), respectively. Later sleep timing was associated with higher depression (b=1.545, p<0.05), while lower sleep efficiency was associated with higher depression (b=1.545, p<0.01). Worse MSH was significantly associated with lower TIR (b=2.376, p<0.05), higher TAR, A1C, and depression (b=-2.38, p<0.05; b=-0.177, p<0.01; b=-1.275, p<0.05, respectively). Sleep irregularity likely drives the association between MSH and glycemic control, while poor sleep satisfaction, lower efficiency, and later timing contribute to the association between MSH and depression. These results highlight the importance of comprehensive sleep health evaluation in T1D.

Better sleep hygiene is associated with better sleep health in mining shift workers in Australia.

Australia's mine sites are largely situated in remote locations and operate around the clock. Many shift workers fly to site, where they work 12-hr shifts and sleep in camp accommodation before they return home for the period rostered off work. Mining shift workers experience poor sleep, yet limited research is available on contributing factors. This study investigated, for the first time, the relationship between the sleep health and sleep hygiene in this population. A survey was disseminated to shift workers in the mining industry, utilising a cross-sectional study design. The Sleep Health Index and Sleep Hygiene Index questionnaires were used to evaluate their sleep health and sleep hygiene, respectively. In total, 470 shift workers (mean age [years]: 39 ± 12, mean body mass index [kg m-2]: 28 ± 5) were included, which involved 132 females. Average scores for the Sleep Health Index and Sleep Hygiene Index were 76 ± 15 and 30 ± 7, respectively. Better sleep health was observed in shift workers with better sleep hygiene (β = -0.52, SE = 0.09 [-0.71, -0.34], p < 0.001). Differences in Sleep Health Index scores were found for individual Sleep Hygiene Index items related to "sleep regularity", "sleep environment", "mental health" and "time in bed extension". However, no differences in Sleep Health Index scores were found for items related to "caffeine, alcohol or nicotine consumption" or "exercise" close to bedtime and "bedtime activities" (p > 0.05 for all). These findings demonstrate a relationship between sleep hygiene and sleep health; therefore, it may be possible to improve the sleep of shift workers by improving their sleep hygiene.

Effect of Study-Duration and Time of Day on Multichannel Sleep Study Findings in Former Preterm Infants.

Determine the appropriate duration for multichannel sleep studies in former preterm infants with cardio-respiratory events beyond term equivalent age. A sleep study of 10 h will provide equivalent information compared to a 20-h study to detect significant cardio-respiratory abnormalities in this population. Single-center retrospective study of 50 infants with 20-h sleep study. Studies were evaluated for periodic breathing, obstructive, central, mixed apnea, desaturations, and bradycardia. Each study was partitioned into two 10-h epochs, compared to one another and the 20-h study. Differences were detected at the level of individual sleep studies when each epoch was compared to each other and a total 20-h study. 10-h study missed 17-31% of breathing abnormalities detected over 20 h adjusted for study time. Group analysis showed no statistical difference in the number and duration of events between epochs. A 20-h sleep study improves the detection of breathing abnormalities missed with a 10-h study.

Effect of occlusal appliances on the sleep of individuals with bruxism: A systematic review and meta-analyses

ABSTRACT Objective This systematic review determined whether occlusal appliance use influences the sleep of individuals with sleep bruxism. Material and Methods Six databases and the gray literature were searched to identify randomized and non-randomized clinical trials comparing slow wave sleep and sleep quality of sleep bruxers before and after occlusal appliance use. The Risk of Bias was assessed using Cochrane tools and Meta-analyses were performed to compare data. The Certainty of the evidence was evaluated by Grading of Recommendations Assessment, Development, and Evaluation approach. Results Two randomized and eight non-randomized studies were included. Meta-analyses indicated that soft and hard appliances influenced the slow-wave sleep and sleep quality of sleep bruxers, as determined by polysomnography (Z = 5.58; p < .001), the Pittsburgh Sleep Quality Index (Z = 3.45; p < .001), and the Sleep Assessment Questionnaire (Z = 48.1; p < .001). Conclusion Occlusal appliance use significantly impacts slow-wave sleep and sleep quality in sleep bruxism individuals, regardless of appliance design or material.

Developing a Sleep Algxorithm to Support a Digital Medicine System: Noninterventional, Observational Sleep Study.

Sleep-wake patterns are important behavioral biomarkers for patients with serious mental illness (SMI), providing insight into their well-being. The gold standard for monitoring sleep is polysomnography (PSG), which requires a sleep lab facility; however, advances in wearable sensor technology allow for real-world sleep-wake monitoring. The goal of this study was to develop a PSG-validated sleep algorithm using accelerometer (ACC) and electrocardiogram (ECG) data from a wearable patch to accurately quantify sleep in a real-world setting. In this noninterventional, nonsignificant-risk, abbreviated investigational device exemption, single-site study, participants wore the reusable wearable sensor version 2 (RW2) patch. The RW2 patch is part of a digital medicine system (aripiprazole with sensor) designed to provide objective records of medication ingestion for patients with schizophrenia, bipolar I disorder, and major depressive disorder. This study developed a sleep algorithm from patch data and did not contain any study-related or digitized medication. Patch-acquired ACC and ECG data were compared against PSG data to build machine learning classification models to distinguish periods of wake from sleep. The PSG data provided sleep stage classifications at 30-second intervals, which were combined into 5-minute windows and labeled as sleep or wake based on the majority of sleep stages within the window. ACC and ECG features were derived for each 5-minute window. The algorithm that most accurately predicted sleep parameters against PSG data was compared to commercially available wearable devices to further benchmark model performance. Of 80 participants enrolled, 60 had at least 1 night of analyzable ACC and ECG data (25 healthy volunteers and 35 participants with diagnosed SMI). Overall, 10,574 valid 5-minute windows were identified (5854 from participants with SMI), and 84% (n=8830) were classified as greater than half sleep. Of the 3 models tested, the conditional random field algorithm provided the most robust sleep-wake classification. Performance was comparable to the middle 50% of commercial devices evaluated in a recent publication, providing a sleep detection performance of 0.93 (sensitivity) and wake detection performance of 0.60 (specificity) at a prediction probability threshold of 0.75. The conditional random field algorithm retained this performance for individual sleep parameters, including total sleep time, sleep efficiency, and wake after sleep onset (within the middle 50% to top 25% of the assessed devices). The only parameter where the model performance was lower was sleep onset latency (within the bottom 25% of all comparator devices). Using industry-best practices, we developed a sleep algorithm for use with the RW2 patch that can accurately detect sleep and wake windows compared to PSG-labeled sleep data. This algorithm may be used for a more complete understanding of well-being for patients with SMI in a real-world setting, without the need for PSG and a sleep lab.

Targeted memory reactivation during sleep improves emotional memory modulation following imagery rescripting

Targeted Memory Reactivation (TMR) during sleep benefits memory integration and consolidation. In this pre-registered study, we investigated the effects of TMR applied during non-rapid eye movement (NREM) sleep following modulation and updating of aversive autobiographical memories using imagery rescripting (ImR). During 2–5 nights postImR, 80 healthy participants were repeatedly presented with either idiosyncratic words from an ImR updated memory during sleep (experimental group) or with no or neutral words (control groups) using a wearable EEG device (Mobile Health Systems Lab-Sleepband, MHSL-SB) [1] implementing a close-loop cueing procedure. Multivariate analysis were conducted to assess change score trajectories in five key emotional memory characteristics (positive and negative valence, emotional distress, arousal, and vividness) across assessments (timepoints, t) and between the study groups (TMR condition). While ImR showed significant effects on all memory characteristics (d = 0.76–1.66), there were significant additional improvements in the experimental group. Memories were significantly less vivid and afflicted with less emotional distress and arousal following ImR-words cueing. TMR during sleep in individuals’ homes was feasible and further improved some ImR’s adaptive memory effects. If replicated in clinical samples, TMR may be utilized to augment the effects of ImR and other clinical memory modulation procedures and create personalized treatment options. Such advances in emotional memory treatments are direly needed, as aversive memories are a salient feature across mental disorders, such as post-traumatic stress disorder (PTSD).

REM disruption and REM vagal activity predict extinction recall in trauma-exposed individuals.

Accumulating evidence suggests that rapid eye movement sleep (REM) supports the consolidation of extinction memory. REM is disrupted in posttraumatic stress disorder (PTSD), and REM abnormalities after traumatic events increase the risk of developing PTSD. Therefore, it was hypothesized that abnormal REM in trauma-exposed individuals may pave the way for PTSD by interfering with the processing of extinction memory. In addition, PTSD patients display reduced vagal activity. Vagal activity contributes to the strengthening of memories, including fear extinction memory, and recent studies show that the role of vagus in memory processing extends to memory consolidation during sleep. Therefore, it is plausible that reduced vagal activity during sleep in trauma-exposed individuals may be an additional mechanism that impairs extinction memory consolidation. However, to date, the contribution of sleep vagal activity to the consolidation of extinction memory or any emotional memory has not been investigated. Trauma-exposed individuals (n = 113) underwent a 2-day fear conditioning and extinction protocol. Conditioning and extinction learning phases were followed by extinction recall 24 h later. The association of extinction recall with REM characteristics and REM vagal activity (indexed as heart rate variability) during the intervening consolidation night was examined. Consistent with our hypotheses, REM disruption was associated with poorer physiological and explicit extinction memory. Furthermore, higher vagal activity during REM was associated with better explicit extinction memory, and physiological extinction memory in males. These findings support the notion that abnormal REM, including reduced REM vagal activity, may contribute to PTSD by impairing the consolidation of extinction memory.

The association between childhood maltreatment and multidimensional sleep health in adolescents at high-risk of emotional and behavioral problems.

Impaired sleep following trauma such as childhood maltreatment is both a prognostic factor for future mental illness and a feasible intervention point. Yet, associations between childhood maltreatment and objectively measured sleep components are rarely found. New approaches advance the use of multidimensional sleep health scores instead of individual sleep components. However, no such methodology has been used to study the consequences of maltreatment on sleep health in adolescent cohorts so far. We hypothesized that childhood maltreatment will be associated with poorer sleep health in adolescence. a cross-sectional sample of 494 adolescents at high-risk of emotional and behavioral problems (mean age 17.9) completed the Childhood Trauma Questionnaire short form (CTQ-SF) to assess five forms of maltreatment (emotional and physical abuse/neglect and sexual abuse) assessed as continuous sum scores. During 9 nights of actigraphy and sleep diary measurements data on sleep regularity, satisfaction, alertness, timing, efficiency, and duration was collected, which were combined into a sleep health composite score ranging from 0 to 6. Linear regression models were adjusted for age, sex, household income, ethnic origin, educational level, urbanization of living environment and parental psychopathological problems. associations were found between all forms of maltreatment and poorer sleep health (p<.031), except for sexual abuse (p=.224). Partial r effect sizes ranged from -0.12 [95%CI = -0.22, -0.01] for emotional neglect to -0.18 [-0.28, -0.08] for total maltreatment. maltreatment was associated with impairment in everyday sleep health, reflected in both subjective and objective measurements of sleep.

Stress Reactivity, Wellbeing and Functioning in University Students: A Role for Autonomic Activity During Sleep.

Sleep is a key biological mechanism in promoting wellbeing and resilience to stress. This cross-sectional study examined connections between sleep, autonomic function, wellbeing, and stress reactivity in healthy individuals. Demographic, lifestyle, sleep, and psychological well-being information were collected from 85 healthy university students. These variables were analysed in conjunction with indices of cardiac autonomic activity, including heart rate and high frequency heart rate variability (HF HRV, an indicator of parasympathetic vagal tone) recorded during nocturnal sleep onset and in response to a cognitive stressor. Correlational analyses revealed that unrefreshing and fragmented sleep was strongly associated with lower HF HRV at sleep onset, suggestive of poorer autonomic de-arousal. Further, those with minimal increases in HF HRV from wakefulness to sleep reported worse sleep quality and greater challenges in daily activities compared to those with significant increases. This same group also demonstrated significantly greater reactivity and slower recovery when faced with a stressor the next day, as evidenced by comparison of heart rate values. Our findings suggest an association between autonomic hypervigilance and aspects of sleep quality, with potential implications for wellbeing and stress responses.

The Correlation between Probiotic Consumption and Sleep Quality among Adults : A Systematic Review and Meta-Analysis

This study aims to determine the relationship between probiotic consumption and an individual's sleep quality. A systematic search for relevant articles was conducted in Scopus, PubMed, Cochrane Library, and ScienceDirect databases for publication between 2013 and 2023. The article selection process is presented using a PRISMA diagram. Data analysis was performed using Review Manager Version 5.4 and publication bias was assessed using Comprehensive Meta-Analysis Software (CMA) V4. This systematic review and meta-analysis included 10 studies examining the effect of probiotic consumption on sleep quality measured by Pittsburgh Sleep Quality Index (PSQI) and 3 studies assessing the effect measured by Electroencephalogram (EEG). Based on the PSQI results, the findings indicate that probiotics considerably enhance sleep quality, with the pooled odds ratio of -0.32 (95% CI:-0.64–0.01; p=0.04). However, probiotic consumption shows no significant effect on sleep quality measured by EEG. Further studiesexploring the relationship between probiotic consumption and sleep quality using objective methods and larger samples are necessary to confirm the impact of probiotic supplementation on sleep quality. While these findings suggest that probiotic supplementation could be a potential strategy for improving sleep quality, additional research is required to strengthen these conclusions and investigate the underlying mechanisms.

The Role of Sleep in Memory Consolidation and Reading in Dyslexia.

Dyslexia is a neurodevelopmental disorder characterized by reading difficulty, which has long been attributed to a phonological processing deficit. However, recent research suggests that general difficulties with learning and memory, but also in memory consolidation, may underlie disordered reading. This review article provides an overview of the relationship between learning and memory, memory consolidation during sleep, and reading and explores the emerging literature on consolidation during sleep in individuals with dyslexia. We consider evidence that sleep appears to be less effective for memory consolidation in children with dyslexia and how this may be related to their deficits in reading. This discussion highlights the need for further research to determine the extent to which atypical sleep patterns may contribute to learning deficits associated with disordered reading.

Commonly Used Dose of Montmorency Tart Cherry Powder Does Not Improve Sleep or Inflammation Outcomes in Individuals with Overweight or Obesity.

Sleep problems are frequently experienced and play an important role in inflammation and disease risk. US Montmorency tart cherries (MTC) improve sleep outcomes in previous studies, but studies in individuals with overweight and obesity are lacking. A total of 34 individuals with sleep issues and overweight or obesity (BMI: 32.1 ± 7.0 kg/m2) were recruited to this randomized controlled, crossover study. MTC capsules (500 mg) or a placebo were taken one hour before bed for 14 days. Sleep outcomes including total sleep time, deep and REM sleep duration, nap duration, and nocturnal sleep duration were assessed using the Zmachine and/or Fitbit Inspire 3. Subjective sleep information on quality and insomnia symptoms was collected using the Pittsburgh Sleep Quality Index, the Sleep Quality Scale, and the Insomnia Severity Index. Markers of inflammation included C-reactive protein, TNF-α, and IL-6, IL-8, IL-10, and IL-17A. No significant effects of MTC supplementation were observed for any of the measures of interest (p > 0.05 for all). These results suggest studies of individuals with overweight and obesity should test higher doses of MTC than those currently recommended.

O073 The effect of blue-enriched light in older adults with sleep disturbance on sleep and daytime performance: A randomised, placebo-controlled crossover trial

Abstract Introduction Light therapy is a non-pharmacological intervention for circadian and sleep disorders. However, there is limited evidence about the effect on electroencephalographic (EEG) sleep in older individuals with sleep disturbance. Methods Twelve participants (8 female; mean ± SD age, 65.6 ± 8.7 years) with self-reported poor sleep completed two randomly allocated 72-hour in-laboratory visits separated by 2 weeks. The intervention light condition consisted of blue-enriched light (melanopic EDI=843.6 lux) during the day and blue-depleted light (melanopic EDI=49.5 lux) 3-hours before lights out. The control light condition consisted of polychromatic light (melanopic EDI=215.8 lux) during the day and reduced light (melanopic EDI=60.8 lux) 3-hours before lights out. The primary outcome was wake after sleep onset (WASO), with secondary outcomes of sleep micro-architecture parameters (256-channel high-density EEG) and neurobehavioural performance. Results The intervention light did not improve WASO compared to the control (p=0.338) but there was a significant increase in N1 sleep (p=0.046). The only neurobehavioural difference was in Stroop text accuracy (2.2%, p=0.028). High-density EEG analysis showed the intervention light significantly increased sigma activity (12–16 Hz) in the frontal and parietal cortex during N2 sleep relative to control light (p=0.017). Conclusions Overall, blue-enriched light over three days did not improve EEG sleep (WASO) or neurobehavioural performances except for accuracy (Stroop) in older adults with sleep disturbance. Further research is required to determine the ideal intensity, spectral composition, duration and timing of blue-enriched lighting on objective sleep outcomes in individuals with poor sleep quality.

What is the impact of biological treatment on sleep quality in chronic rhinosinusitis with nasal polyps patients: a retrospective cross-sectional study

BackgroundSleep disturbance is prevalent in patients with chronic rhinosinusitis with nasal polyps (CRSwNP). Although biological treatment has been shown to improve overall patient-reported sinonasal symptoms in CRSwNP, the treatment impact on individual sleep quality remains less explored. The purpose of this study is to investigate the effect of dupilumab treatment on sleep quality in patients with CRSwNP.MethodsA single-institutional, retrospective chart review was conducted on adult patients who received biological treatment (dupilumab) for CRSwNP. Patients’ condition was assessed before treatment and 3–12 months after continuous treatment. The assessment included the 22-item Sino-Nasal Outcome Test (SNOT-22), Nasal Obstruction Symptom Evaluation (NOSE) scale, Nasal Polyp Score (NPS), as well as perception for anosmia and hyposmia using Visual Analog Scale (VAS) for smell. Sleep-related symptoms and treatment outcomes were assessed using the Pittsburg sleep quality index (PSQI) global score, sleep domain questions within SNOT-22, and sleep-related question in the NOSE scale. Subjects with a PSQI global score of > 5 were considered poor sleepers.ResultsA total of 15 charts were included in this study. There were 12 males (80%) and 3 females (20%). Sixty percent of them were having bronchial asthma. The mean follow-up duration was around 6.7 months. The patients showed significant improvement in nasal assessment using the median values for SNOT-22, NOSE scale, NPS, and VAS for smell (P-value ≤ 0.001). As well, there was a significant improvement in the median scores for global PSQI, sleep domain questions within SNOT-22, and sleep-related question in the NOSE scale (P-value 0.04, < 0.001, and 0.001, respectively). Eight subjects (53.3%) had poor sleep quality before treatment. Four out of them improved from being poor sleepers to good sleepers after using the treatment.ConclusionThis study indicates that dupilumab is an effective treatment for CRSwNP and it improves sleep quality parameters in some patients.

Abstract 4136745: How do sleep quality and heart failure symptoms impact functional status among patients with heart failure?

Background: Patients with heart failure (HF) frequently experience poor sleep quality and multiple HF symptoms, both of which are linked to diminished functional status. Poor sleep quality can manifest as prolonged latency, short duration, low efficiency, or difficulty staying asleep. HF symptoms encompass different dimensions: presence, frequency, severity, and distress of HF symptoms. Different dimensions of sleep quality and HF symptoms may uniquely influence functional status, necessitating tailored interventions, yet how individual dimensions of sleep quality and HF symptoms impact functional status remains unexplored. Research Question: how do individual dimensions of sleep quality and HF symptoms impact functional status in patients with HF? Methods: We studied 197 adults with HF (male: 66%, age: 62±11 yrs). The Pittsburgh Sleep Quality Index was used to assess seven dimensions of sleep quality: subjective sleep quality, latency, duration, efficiency, sleep disturbances, use of sleeping medications, and daytime dysfunction over the last month. Four dimensions (i.e., presence, frequency, severity, distress) of 7 HF symptoms (e.g., shortness of breath, fatigue, swelling) were assessed using the Symptom Status Questionnaire-HF. Functional status was measured using the Duke Activity Status Index. Correlations and two multiple linear regression models (1 st model: 7 dimensions of sleep quality on functional status, and 2 nd model: 4 dimensions of HF symptoms on functional status) were conducted for data analysis. Results: Worse subjective sleep quality, longer latency, more sleep disturbances, use of sleeping medications, and higher levels of daytime dysfunction were correlated with poor functional status. All four dimensions of HF symptoms were negatively correlated with functional status. In the 1 st multiple linear regression model, more sleep disturbances (B=-3.91, p =.006) and higher daytime dysfunction (B=-5.70, p &lt;.001) were predictive of poor functional status (model R 2 =0.23, p &lt;.001). In the 2 nd multiple linear regression model, only higher frequency of HF symptoms (B=-.70, p =.022) predicted poor functional status (model R 2 =0.34, p &lt;.001). Conclusion: Increased sleep disturbances, daytime dysfunction, and frequency of HF symptoms were associated with poorer functional status in patients with HF. These findings underscore the importance of developing tailored interventions to address individual sleep problems and HF symptoms to improve functional status.