Sleep Disorders In Patients Research Articles

Investigation of the Association between Sleep Disorders with Subsequent Depression in Children and Adolescents-A Retrospective Cohort Study with 62,796 Patients.

Poor quality of sleep is a widespread issue in modern society, and even children are being diagnosed with sleep disorders nowadays. Sleep disruption in children can lead to poor mental health in the long term. The present study aimed to evaluate the association between sleep disorders and subsequent depression in children and adolescents. This retrospective cohort study used electronic medical records from the IQVIATM Disease Analyzer database. It included children and adolescents aged 6-16 with an initial diagnosis of a sleep disorder and age- and gender-matched patients without sleep disorders treated by one of 274 office-based pediatricians in Germany between January 2010 and December 2022. The five-year cumulative incidence of depression in the cohorts with and without sleep disorders was studied with Kaplan-Meier curves using the log-rank test. Multivariable Cox regression analyses were used to assess the association between sleep disorders and depression. The present study included 10,466 children and adolescents with and 52,330 without sleep disorder diagnosis (mean age 10 ± 3 years, 48% female). Within five years after the index date, 5% of sleep disorder patients and 2% of the matched non-sleep disorder cohort had been diagnosed with depression. A strong and significant association was observed between sleep disorders and subsequent depression (HR: 2.34; 95% CI: 2.09-2.63). This association was stronger in adolescents (HR: 3.78; 95% CI: 3.13-4.56) than in children. Upon the exclusion of depression diagnoses in the first year after the index date, the association between sleep disorders and depression remained strong and significant (HR: 1.92; 95% CI: 1.68-2.19). This study indicates a strong and significant association between sleep disorders and depression.

Sleep disorders in patients with endometriosis; a cross-sectional study

BackgroundEndometriosis affects 10–15% of women of reproductive age and is considered a critical gynecological problem. Endometriosis causes pain and infertility, both of which can impair the patient’s quality of life. Sleep disorders account for the most bothersome presentation of impaired quality of life. This study investigated the frequency and severity of sleep disorders in women with endometriosis.MethodsIn this analytical cross-sectional study, 665 women referred to three hospitals in Tehran, Rasool-e-Akram, Pars, and Nikan, were included (463 patients with endometriosis and 202 women without endometriosis). All of them were informed about the study design and the aim of the research, and then they were asked to sign the consent form and complete the Pittsburgh Sleep Quality Index (PSQI). After data gathering and entering, they were analyzed by SPSS version 22 and were considered significant with P < 0.05.ResultsThe study population’s mean age was 35.4 ± 7.9 years. The mean global PSQI score in the case group (endometriosis patients) was higher than in the control group (non-endometriosis patients) (10.6 vs. 7.1; P < 0.001). Patients with dyspareunia, dysuria, pelvic pain, and dyschezia had a significantly higher PSQI score (P < 0.05).ConclusionAccording to the findings of the present study, the sleep quality in endometriosis patients is low, and there is a need to pay greater attention to these patients. This may result in some changes in the therapeutic strategies for this disease.

Impact of insomnia on ovarian cancer risk and survival: a Mendelian randomization study

Insomnia is the most common sleep disorder in patients with epithelial ovarian cancer (EOC). We investigated the causal association between genetically predicted insomnia and EOC risk and survival through a two-sample Mendelian randomization (MR) study. Insomnia was proxied using genetic variants identified in a genome-wide association study (GWAS) meta-analysis of UK Biobank and 23andMe. Using genetic associations with EOC risk and overall survival from the Ovarian Cancer Association Consortium (OCAC) GWAS in 66,450 women (over 11,000 cases with clinical follow-up), we performed Iterative Mendelian Randomization and Pleiotropy (IMRP) analysis followed by a set of sensitivity analyses. Genetic associations with survival and response to treatment in ovarian cancer study of The Cancer Genome Atlas (TCGA) were estimated controlling for chemotherapy and clinical factors. Insomnia was associated with higher risk of endometrioid EOC (OR=1.60, 95% CI 1.05-2.45) and lower risk of high-grade serous EOC (HGSOC) and clear cell EOC (OR=0.79 and 0.48, 95% CI 0.63-1.00 and 0.27-0.86, respectively). In survival analysis, insomnia was associated with shorter survival of invasive EOC (OR=1.45, 95% CI 1.13-1.87) and HGSOC (OR=1.4, 95% CI 1.04-1.89), which was attenuated after adjustment for body mass index and reproductive age. Insomnia was associated with reduced survival in TCGA HGSOC cases who received standard chemotherapy (OR=2.48, 95% CI 1.13-5.42), but was attenuated after adjustment for clinical factors. This study supports the impact of insomnia on EOC risk and survival, suggesting treatments targeting insomnia could be pivotal for prevention and improving patient survival. National Institutes of Health, National Cancer Institute. Full funding details are provided in acknowledgments.

The Role of the Lipid Profile and Oxidative Stress in Fatigue, Sleep Disorders and Cognitive Impairment in Patients with Multiple Sclerosis.

The aim of this study is to investigate the relationship of the lipid profile, dysfunctional high-density lipoprotein, ischaemia-modified albumin and thiol-disulfide homeostasis with cognitive impairment, fatigue and sleep disorders in patients with multiple sclerosis. The cognitive functions of patients were evaluated with the Brief International Cognitive Assessment for Multiple Sclerosis battery. Fatigue was evaluated with the Fatigue Severity Scale and the Fatigue Impact Scale. The Pittsburgh Sleep Quality Index and the Epworth Sleepiness Scale were used to assess patients' sleep disturbance. Peripheral blood samples were collected, and lipid levels and myeloperoxidase and paraoxonase activity were measured. The myeloperoxidase/paraoxonase ratio, which indicates dysfunctional high-density lipoprotein, was calculated. Thiol-disulfide homeostasis and ischaemia-modified albumin were measured.<br> We did not identify any relationship between dysfunctional high-density lipoprotein and the physical disability, cognitive decline, fatigue and sleep problems of multiple sclerosis. Thiol-disulfide homeostasis was associated with cognitive scores. The shift of the balance towards disulfide was accompanied by a decrease in cognitive scores. On the other hand, we did not detect any relationship between fatigue and sleep disorders and thiol-disulfide homeostasis. Our findings revealed a possible correlation between cognitive dysfunction and thiol-disulfide homeostasis in multiple sclerosis patients.

Prevalence of sleep disorders in patients with advanced cancer: a cross-sectional study.

Patients with advanced cancer are more susceptible to develop sleep disorders like insomnia, restlessness, hypersomnolence, and sleep apnea due to a series of stressful events and side effects of chemotherapeutic agents. Poor sleep quality is associated with bad cancer outcomes and substandard quality of life. The authors assessed the prevalence of sleep disorders among advanced cancer patients in a tertiary center in Nepal. Patients with stage three and four solid malignancies were enrolled from February 2023 to July 2023 to assess their sleep status. The data were collected using the Pittsburgh Sleep Quality Index (PSQI) questionnaire, analyzed using the Statistical Package for the Social Sciences (SPSS) version 27, and subgroup exploration was done to assess the relationship of poor sleep quality with gender, marital status, malignancy type, and treatment received. An ethical clearance was obtained from the Institutional Review Committee (IRC). The authors evaluated data from 357 patients in the study. Of them, 58.3% were female and 41.7% were male. The mean age of the patients was 51.1 years. Among total cancer patients, 56% had significant sleep disorders. A significant association was observed between the quality of sleep and gender, type of malignancy, and treatment methods (p value <0.05). A majority of the patients demonstrated increased sleep latency, struggling to fall asleep swiftly. More than half of the patients had poor sleep, which has an adverse impact on the prognosis of the disease and quality of life of cancer patients. Therefore, this aspect of cancer management requires special consideration for better quality of life and appropriate end-of-life care.

Sleep disorders in chronic kidney disease.

Sleep disorders are highly prevalent in chronic kidney disease (CKD) but are often under-recognized. Restless legs syndrome, which is common in CKD owing to issues with dopamine metabolism and is exacerbated by iron deficiency and uraemia, can lead to poor sleep quality and increased daytime fatigue. Insomnia is also prevalent in CKD, particularly in patients requiring dialysis, with increased sleep latency and sleep fragmentation being reported. The cause of insomnia in CKD is multifactorial - poor sleep habits and frequent napping during dialysis, uraemia, medications and mood disorders have all been suggested as potential contributing factors. Sleep apnoea and CKD are also now recognized as having a bi-directional relationship. Sleep apnoea is a risk factor for accelerated progression of CKD, and fluid overload, which is associated with kidney failure, can lead to both obstructive and central sleep apnoea. The presence of obstructive sleep apnoea in CKD can exacerbate the already heightened cardiovascular morbidity and mortality in these patients, as well as leading to daytime fatigue and reduced quality of life. Increased awareness, timely diagnosis and appropriate therapeutic interventions are essential to reduce the negative impact of sleep disorders in patients with kidney disease.

Cardiovascular Implications of Sleep Disorders Beyond Sleep Apnea.

Sleep is crucial for human health and life. There is still limited attention to the association between sleep disorders beyond sleep apnea and cardiovascular (CV) health. We investigated the current evidence between non-respiratory sleep disorders and CV health. Current evidence suggests an important association between sleep duration, circadian rhythm, insomnia, disorders of hypersomnolence and CV health. Sleep-related movement disorders exhibit a moderate association with CV health. Further research is needed to explore the effects of each sleep disorder on CV health. Given the close association between non-respiratory sleep disorders and CV health, it is crucial to recognize and address sleep disorders in patients with a high CV risk.

Cardiopulmonary Coupling Spectrogram as an Ambulatory Method for Assessing Sleep Disorders in Patients With Autoimmune Encephalitis.

Sleep disorders are a common and important clinical feature in patients with autoimmune encephalitis (AE); however, they are poorly understood. We aimed to evaluate whether cardiopulmonary coupling (CPC), an electrocardiogram-based portable sleep monitoring technology, can be used to assess sleep disorders in patients with AE. Patients fulfilling the diagnostic criteria of AE were age- and sex-matched with recruited healthy control subjects. All patients and subjects received CPC testing between August 2020 and December 2022. Demographic data, clinical information, and Pittsburgh Sleep Quality Index (PSQI) scores were collected from the medical records. Data analysis was performed using R language programming software. There were 60 patients with AE (age 26.0 [19.8-37.5] years, male 55%) and 66 healthy control subjects (age 30.0 [25.8-32.0] years, male 53%) included in this study. Compared with healthy subjects, patients with AE had higher PSQI scores (7.00 [6.00-8.00] vs 3.00 [2.00-4.00], p < 0.001), lower sleep efficiency (SE 80% [71%-87%] vs 92% [84%-95%], p < 0.001), lower percentage of high-frequency coupling (25% [14%-43%] vs 45% [38%-53%], p < 0.001), higher percentage of REM sleep (19% ± 9% vs 15% ± 7%, p < 0.001), higher percentage of wakefulness (W% 16% [11%-25%] vs 8% [5%-16%], p = 0.074), higher low-frequency to high-frequency ratio (LF/HF 1.29 [0.82-2.40] vs 0.91 [0.67-1.29], p = 0.001), and a higher CPC-derived respiratory disturbance index (9.78 [0.50-22.2] vs 2.95 [0.40-6.53], p < 0.001). Follow-up evaluation of 14 patients showed a decrease in the PSQI score (8.00 [6.00-9.00] vs 6.00 [5.00-7.00], p = 0.008), an increased SE (79% [69%-86%] vs 89% [76%-91%], p = 0.030), and a decreased W% (20% [11%-30%] vs 11% [8%-24], p = 0.035). Multiple linear regression indicated that SE (-7.49 [-9.77 to -5.21], p < 0.001) and LF/HF ratio (0.37 [0.13-0.6], p = 0.004) were independent factors affecting PSQI scores in patients with AE. Sleep disorders with autonomic dysfunction are common in patients with AE. Improvements in the PSQI score and SE precede the restoration of sleep microstructural disruption in the remission stage. CPC parameters may be useful in predicting sleep disorders in patients with AE.

Assessment of Sleep Disorders in Patients with CVID.

Inborn errors of immunity have been associated with reduced health-related quality of life and increased fatigue. Sleep disorders, which have been shown to contribute to fatigue and other health concerns, are prevalent in the general population, but there are limited studies evaluating these conditions in patients with common variable immunodeficiency (CVID). Our aim was to evaluate the prevalence of fatigue, sleep disturbances, and sleep-disordered breathing in adults with CVID. Patients completed 4 validated, self-administered questionnaires and a 1-night disposable home sleep apnea test. Our results demonstrated increased median Patient-Reported Outcomes Measurement Information System fatigue scores of 58.7 in patients with CVID in addition to clinically significant fatigue as measured by Fatigue Severity Scale score (median, 5.2) and overall poor sleep quality based on global Pittsburgh Sleep Quality Index score (median, 9.0). For CVID patients who completed the home sleep apnea test, 76.9% met criteria for sleep-disordered breathing with an Apnea-Hypopnea Index score of 5 or greater. The results of our study indicate that patients with CVID may have increased rates of undiagnosed sleep disorders that may contribute to increased fatigue and reduced health-related quality of life.

Evaluation of risk factors related to sleep disorders in patients undergoing hemodialysis using a nomogram model.

This study aimed to investigate the risk factors related to sleep disorders in patients undergoing hemodialysis using a nomogram model. A cross-sectional survey was conducted in a hospital in Zhejiang province, China from January 1, 2020, to November 31, 2022 among patients undergoing hemodialysis. Dietary intake was assessed applying a Food Frequency Questionnaire. Sleep quality was evaluated by the Pittsburgh Sleep Quality Index. Evaluation of risk factors related to sleep disorders in patients undergoing hemodialysis was using a nomogram model. This study included 201 patients and 87 individuals (43.3%, 87/201) exhibited sleep disorders. The average age of included patients was 51.1 ± 9.0 years, with males accounting for 55.7% (112/201). Results from nomogram model exhibited that potential risk factors for sleep disorders in patients undergoing hemodialysis included female, advanced age, increased creatinine and alanine aminotransferase levels, as well as higher red meat consumption. Inversely, protective factors against sleep disorders in these patients included higher consumption of poultry, fish, vegetables, and dietary fiber. The C-index demonstrated a high level of discriminative ability (0.922). This study found that age, sex, and dietary factors were associated with sleep disorders in hemodialysis patients. Hemodialysis patients with sleep disorders require urgent dietary guidance.

Risk of sleep disorders in patients with pneumoconiosis: a retrospective cohort study

BackgroundPneumoconiosis is associated with pulmonary and cardiovascular diseases; however, the link between pneumoconiosis and sleep disorders is not well understood. This study aimed to investigate the connection between pneumoconiosis and subsequent risk of sleep disorders.MethodsThis population-based retrospective cohort study used data from the National Health Insurance database in Taiwan. The pneumoconiosis cohort consisted of 13,329 patients newly diagnosed between 2000 and 2015. The comparison group included 53,316 age-, sex-, and diagnosis date-matched individuals without pneumoconiosis. The development of sleep disorders was monitored until the end of 2018. Cox proportional hazard regression models were used for risk assessment.ResultsThe incidence of sleep disorders was 1.31 times higher in the pneumoconiosis cohort than in the comparison cohort (22.8 vs. 16.2 per 1000 person-years). After controlling for age, sex, comorbidity, and medication, the adjusted hazard ratio (aHR) was 1.24 (95% confidence interval [CI] = 1.17–1.32). Stratified analyses by age group, sex, and comorbidity status showed significant associations between pneumoconiosis and sleep disorders (aHRs, 1.19–1.64). In addition, patients with pneumoconiosis had a significantly increased risk of developing sleep apnea (aHR = 1.71, 95% CI = 1.31–2.22).ConclusionThis study demonstrates that patients with pneumoconiosis are at a higher risk of developing sleep disorders and sleep apnea. Healthcare professionals should pay close attention to sleep quality and disturbances in patients with pneumoconiosis.

Sleep disorders in patients with bipolar disorder: age and tobacco consumption correlates

IntroductionSleep disruptions are frequently observed in individuals with bipolar disorder and have been linked to various unfavorable consequences, such as an elevated risk of relapse and lower quality of life. Nonetheless, the impact of sociodemographic factors on the development and progression of these disruptions remains largely unexplored. Gaining insight into the relationship between sleep disruptions and sociodemographic factors is essential for designing effective interventions and enhancing clinical outcomes for individuals affected by bipolar disorderObjectivesThe objective of this study is to examine the association between sleep disorders in patients with bipolar disorder II (BDII) and sociodemographic characteristics.MethodsThis is a cross-sectional, descriptive, and analytical study that was conducted over a one-month period from October 1 to October 31, 2022, with patients attending the follow-up unit of the mental health department at Nabeul Hospital ,Tunisia.The study employed a questionnaire as a tool for data collection, and participants provided voluntary and informed consent before responding. The protection of participant confidentiality and anonymity was carefully observed during all stages of the study.ResultsIn this study, we enrolled patients who satisfied the following eligibility criteria: age range of 18 to 60 years, a confirmed diagnosis of type II bipolar disorder based on DSM V criteria, and psychiatric stability as demonstrated by no hospitalization within the preceding 6-month period.Our study included a sample of 40 male patients diagnosed with type II bipolar disorder. The participants had a mean age of 36 ± 13.2 years, and the majority were unmarried and living with their families or alone. Over two-thirds of the participants had attained a university level of education, while a large proportion of the patients, specifically 80%, reported being regular smokers.The results of the study revealed that the mean global score on the Pittsburgh Sleep Quality Index (PSQI) was 7.28 ± 3.35, indicating an overall low quality of sleep. The majority of the participants, that is 65% (26), had poor sleep quality scores (&gt; 5), while 45% (18) reported experiencing poor sleep (PSQI ≥ 8).Our analyses further demonstrated that there was a significant association between tobacco consumption and PSQI scores (p=0.003). Additionally, we found that participants who were above 40 years old had a higher likelihood of experiencing sleep disturbances (p=0.0017).ConclusionsAccording to the findings of our study, it appears that patients diagnosed with type II bipolar disorder may experience impaired sleep quality, which can be influenced by age and tobacco consumption. These results underscore the need for a holistic approach to patient care that addresses both the biological and sociodemographic factors that can impact sleep in this population.Disclosure of InterestNone Declared

Impacts of Different Noise Environments on Polysomnographic Monitoring Parameters and Sleep Quality Among Hospitalized Patients.

Excessive noise levels may decrease patients' sleep quality and increase the risk of sleep disorders in patients. Given that only a few studies have been conducted on noise levels and sleep quality in hospitalized patients, this study investigated the effects of different noise environments on polysomnographic parameters and sleep in hospitalized patients. It also analyzed the factors associated with patients' sleep quality. A sample of 244 cases of hospitalized patients were retrospectively selected from March 2020 to March 2023. A total of 122 patients without ward noise reduction treatment were set as the control group. A total of 122 patients who were treated with ward noise reduction were set as the observation group. The polysomnographic monitoring parameters and sleep conditions levels were compared between the two groups, after which logistic regression was used to analyze the relevant factors that affected patients' sleep. The incidence of noise level, rapid eye movement stage (R) phase proportion, nonrapid eye movement stage 1 (N1) phase proportion, and poorer sleep quality all had higher levels in the control group than in the observation group. In comparison, nonrapid eye movement stage 2 (N2) phase proportion, total sleep time (TST), and sleep efficiency (SE) were all lower than those in the observation group (P < 0.05). Regression analysis revealed that the need for surgery, having diabetes mellitus, higher noise level and low N2 percentage levels were all associated factors affecting the sleep quality of patients. Environments with higher levels of noise can lead to patients' poorer sleep quality. Thus, it is necessary to actively implement noise management measures to avoid higher noise levels and maintain good sleep quality among patients.

261 Sleep Disorders in Patients with End Stage Kidney Disease (ESKD): Prevalence and Associated Factors

261 Sleep Disorders in Patients with End Stage Kidney Disease (ESKD): Prevalence and Associated Factors

When sleep disorders in patients with bipolar disorder indicate a risk of suicidal behavior

IntroductionSleep disturbances and suicidal behaviors are common among patients with type II bipolar disorder ( BDII), but the relationship between the two is unclear. Investigating this connection is important to identify interventions that can improve the quality of life and reduce the risk of suicide in this population.ObjectivesOur study’s objective is to examine the association between sleep disorders and suicidal behavior in patients with type II bipolar disorder (BDII).MethodsIn order to comprehensively investigate the association between sleep disturbances and suicidal behaviors among individuals diagnosed with type II bipolar disorder (TBII), we conducted a cross-sectional, descriptive, and analytical study over a duration of one month, specifically from the 1st to the 31st of October 2022. Our research was conducted within the follow-up unit of the mental health department at Nabeul Hospital, Tunisia, with the aim of capturing a diverse range of participants representative of the population of interest.To ensure the integrity and accuracy of our findings, we meticulously selected participants who met specific eligibility criteria. This included individuals aged between 18 and 60 years, who had a confirmed diagnosis of type II bipolar disorder according to the criteria outlined in the Diagnostic and Statistical Manual of Mental Disorders (DSM V). Furthermore, we sought to include participants who were psychiatrically stable, meaning they had not required hospitalization in the six months preceding the study.The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the participants’ sleep quality over a one-month period, while the Suicidal Behavior Questionnaire-Revised (SBQ-R) was used to assess suicidal behavior.The data was gathered through a questionnaire that prioritized ethical concerns, including obtaining informed consent from participants and maintaining confidentiality and anonymity throughout the study.ResultsIn this study, we enrolled 40 male patients with a mean age of 36 ± 13.2 years and evaluated their sleep quality and suicidal behaviors. The results showed that the participants had a mean PSQI score of 7.28 ± 3.35, indicating that the overall sleep quality was not optimal. Specifically, 65% of the participants had poor sleep quality (&gt; 5), and 45% reported poor sleep(PSQI ≥ 8) . The mean SBQ-R score was 10.3 ± 3.6, indicating a moderate level of suicidal behavior. Interestingly, we found a statistically significant correlation between PSQI and SBQ-R subscales, particularly with regard to suicidal thoughts (p=0.003) and suicide attempts (p=0.002).ConclusionsOur study found a strong link between sleep problems and suicidal behavior in people with type II bipolar disorder. This highlights the need to address sleep issues to reduce suicide risk in these patients.Disclosure of InterestNone Declared

Microglial Activation and Progression of Nigrostriatal Dysfunction in Isolated REM Sleep Behavior Disorder.

Using 11C-(R)-PK11195-PET, we found increased microglia activation in isolated REM sleep behavior disorder (iRBD) patients. Their role remains to be clarified. The objective is to assess relationships between activated microglia and progression of nigrostriatal dysfunction in iRBD. Fifteen iRBD patients previously scanned with 11C-(R)-PK11195 and 18F-DOPA-PET underwent repeat 18F-DOPA-PET after 3 years. 18F-DOPA Ki changes from baseline were evaluated with volumes-of-interest and voxel-based analyses. Significant 18F-DOPA Ki reductions were found in putamen and caudate. Reductions were larger and more widespread in patients with increased nigral microglia activation at baseline. Left nigral 11C-(R)-PK11195 binding at baseline was a predictor of 18F-DOPA Ki reduction in left caudate (coef = -0.0426, P = 0.016). Subjects with increased baseline 11C-(R)-PK11195 binding have greater changes in nigrostriatal function, suggesting a detrimental rather than protective effect of microglial activation. Alternatively, both phenomena occur in patients with prominent nigrostriatal dysfunction without a causative link. The clinical and therapeutic implications of these findings need further elucidation. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Association of iron metabolism with erythrocyte parameters, myeloid and lymphoid cells in patients with sleep disorders

Objective: to identify the relationship between the main indicators of iron metabolism and erythrocyte parameters, myeloid and lymphoid cells in patients with sleep disorders in patients with sleep disorders (obstructive sleep apnea (OSA), chronic insomnia (CI), restless legs syndrome (RLS)). Materials and methods: 118 patients, 60 men (50.8%) and 58 women (49.2%), Me age — 47 years (Q1–Q3: 35–61), Me BMI — 25.81 kg/m2 (Q1–Q3: 22.72–29.40) with obstructive sleep apnea (OSA), chronic insomnia, restless legs syndrome in their various combinations. All patients underwent a polysomnographic study, blood cell count, biochemical parameters of iron metabolism were assessed. Results: when assessing the relationship between “Ferritin” and “Hemoglobin”, “Hematocrit (%)”, “Erythrocytes”, “Lymphocytes, abs.”, a moderate direct relationship was established (p&lt;0.001; p&lt;0.001; p=0.001; p&lt; 0.013, respectively).When assessing the relationship between “RDW (%)”, “Neutrophils total, %”, “Neutrophils, abs.” and “%TS”, a moderate inverse relationship was established (p=0.026; p=0.028; p =0.01, respectively).When assessing the relationship between “RDW (%)”, “Neutrophils total, %” and “Serum iron”, a moderate inverse relationship was established (p = 0.003; p = 0.012, respectively). When assessing the relationship between “Lymphocytes, %” and “Serum iron”, a weak direct relationship was established (p = 0.049). Conclusions: in patients with sleep disorders, a statistically significant relationship was revealed between the main parameters of iron metabolism and indicators of “red” blood, the content of neutrophils and lymphocytes. It was shown for the first time that in patients with sleep disorders, changes in the content of neutrophils and lymphocytes may be associated not only with changes in sleep itself, but also with the state of iron metabolism. The complex relationships of iron metabolism, the function of erythrocytes, neutrophils and lymphocytes in patients with sleep disorders can affect the development of both infectious and non-infectious diseases through the mechanisms of maintaining chronic inflammation, hypoferemia, ferroptosis, netosis and other mechanisms.

Insomnia, Fatigue, Bladder Disorders and Mood Disorders among Polish Patients with Multiple Sclerosis: Cross-Sectional Study.

To investigate the prevalence of sleep disorders in patients with multiple sclerosis (PwMS) in comparison to healthy controls (HCs), we aim to explore the correlation between sleep disorders and fatigue, bladder dysfunction, mood disorders in PwMS. This study involved 175 PwMS and 115 HCs. We conducted a self-administered survey using questionnaires (the authors' questionnaire, the Athens Insomnia Scale (AIS), the Epworth Sleepiness Scale (ESS), the Modified Fatigue Impact Scale (MFIS), the Fatigue Severity Scale (FSS), the Hospital Anxiety and Depression Scale (HADS), and the Numerical Rating Scale (NRS). The neurological disability was determined using Expanded Disability Status Scale. Logistic regression was used to estimate odds ratios (ORs) with 95% confidence intervals (CIs). According to AIS, insomnia was found in 20.6% of PwMS compared to 9.6% of HCs (p < 0.001). Comparing female and male PwMS, we observed that insomnia was more prevalent among female PwMS (25.95% vs. 4.55%, respectively, p < 0.05). Excessive daytime sleepiness was more prevalent in female PwMS (p < 0.05). Female PwMS were more fatigue based on the FSS and the MFIS (p < 0.05). Bladder disorders were observed in 39.43% of PwMS and were significantly linked to MS (p < 0.001). Sleep disturbances were associated with anxiety disorders (OR = 0.22, 95% CI 0.12-0.32 p < 0.001), bladder dysfunction (OR = 0.52 95% CI 0.16-0.87 p < 0.05), and female gender (OR = 0.49, 95% CI 0.037-0.94 p < 0.05). Insomnia is prevalent among PwMS. Our study revealed independent predictors of sleep disturbances among PwMS: female gender, bladder disorders, and anxiety.

Sleep disorders and other medical and socio-demographic factors in systemic scleroderma.

We aimed to investigate sleep disorders in patients with systemic scleroderma (SSc) and its relationship with socio-demographic and medical factors and to provide a suitable solution to better control the disease and improve the quality of life in these patients. This cross-sectional study evaluated SSc patients seen at a rheumatology clinic from September 1, 2022, through April 1, 2023.The patients were examined by the main investigator of the project and entered the study after taking the medical history and meeting the criteria of ACR 2013 Classification Criteria. Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS) and STOP-Bang Questionnaire were employed to investigate sleep disorders. A total of 103 patients were included in the study. The average age of the patients was 48.42 ± 12.4 years. PSQI showed lower quality of sleep scores among SSc (68% of patients), which was significantly related to the degree of skin stiffness in patients, telangiectasia, interstitial lung disease (ILD) in computed tomography (CT) scan, patient age, duration of the disease, and pulmonary artery pressure (PAP). STOP-Bang Questionnaire revealed that obstructive sleep apnea (OSA) was significantly associated with telangiectasia, ILD, patient age, disease onset age, disease duration, body mass index and PAP. Insomnia had a statistically significant relationship with telangiectasia, ILD and patient age. Drowsiness during daily activities was not significantly related to any of the individual variables and disease-related variables. Sleep disorders are common in patients with systemic scleroderma. Telangiectasia, ILD and patient age were related to all sleep quality disorders and respiratory apnea and insomnia. Furthermore, the amount of skin involvement significantly causes disturbances in the quality of sleep of patients, where in the group with diffuse skin stiffness, 80% of patients exhibited disturbances in the quality of sleep. Therefore, paying attention to sleep health can be an effective factor in improving the quality of life of patients with SSc.

Fatigued but not sleepy? An empirical investigation of the differentiation between fatigue and sleepiness in sleep disorder patients in a cross-sectional study

ObjectiveSleepiness and fatigue are common complaints among individuals with sleep disorders. The two concepts are often used interchangeably, causing difficulty with differential diagnosis and treatment decisions. The current study investigated sleep disorder patients to determine which factors best differentiated sleepiness from fatigue. MethodsThe study used a subset of participants from a multi-site study (n = 606), using a cross-sectional study design. We selected 60 variables associated with either sleepiness or fatigue, including demographic, mental health, and lifestyle factors, medical history, sleep questionnaires, rest-activity rhythms (actigraphy), polysomnographic (PSG) variables, and sleep diaries. Fatigue was measured with the Fatigue Severity Scale and sleepiness was measured with the Epworth Sleepiness Scale. A Random Forest machine learning approach was utilized for analysis. ResultsParticipants' average age was 47.5 years (SD 14.0), 54.6% female, and the most common sleep disorder diagnosis was obstructive sleep apnea (67.4%). Sleepiness and fatigue were moderately correlated (r = 0.334). The model for fatigue (explained variance 49.5%) indicated depression was the strongest predictor (relative explained variance 42.7%), followed by insomnia severity (12.3%). The model for sleepiness (explained variance 17.9%), indicated insomnia symptoms was the strongest predictor (relative explained variance 17.6%). A post hoc receiver operating characteristic analysis indicated depression could be used to discriminate fatigue (AUC = 0.856) but not sleepiness (AUC = 0.643). ConclusionsThe moderate correlation between fatigue and sleepiness supports previous literature that the two concepts are overlapping yet distinct. Importantly, depression played a more prominent role in characterizing fatigue than sleepiness, suggesting depression could be used to differentiate the two concepts.