Late effects following breast cancer treatment.

Improved survival after breast cancer treatment comes at a cost in the form of increased risk of late effects. A number of these are summarised in this review. The late effects can be divided in 1) late effects after locoregional treatment, e.g., lymphoedema, impaired shoulder movement, and pain; 2) consequences of systemic treatment, e.g. polyneuropathy, problems related to premature menopause, and increased risk of cardio-vascular disease; and 3) general late effects, commonly seen across all cancer types, including fatigue, insomnia, and cognitive impairment. There is a need for more knowledge about risk factors, prognoses, and the most effective treatments.

Early change in fatigue, insomnia, and cognitive impairment and symptom severity 3 years post-treatment in breast cancer survivors.

PURPOSE: Breast cancer is the most common form of cancer among Canadian women. Survivorship challenges include fatigue, sleep disturbance, and cognitive impairment. This study examined (1) symptom trajectory from diagnosis to 3 years; (2) whether symptom change in the first 4 months was associated with prolonged difficulties after 3 years; and (3) which factors were associated with deterioration in symptoms during the first 4 months. METHODS: This prospective observational cohort study examined 53 women (Mage = 58.6, 96.2% White, 67.9% stage I) with newly diagnosed breast cancer over 3 years. Women completed assessments before starting treatment, 4 months, and 3 years after diagnosis. Three-way repeated-measures ANOVAs evaluated symptom trajectories. A repeated-measures mediation analysis was performed to determine if change from pre-treatment to 4 months accounted for change from pre-treatment to 3 years. A series of between-subjects ANOVAs were used to determine what variables significantly differed by deterioration status. RESULTS: Perceived cognitive impairment and fatigue increased linearly from diagnosis to 3 years. Change in fatigue in the first 4 months fully accounted for its change over 3 years. Insomnia severity and sleep quality deteriorated from diagnosis to 4 months, but returned to pre-treatment levels at 3 years. Those whose fatigue and cognitive ability deteriorated during the first 4 months were younger. CONCLUSION: Efforts to identify those who are at risk of experiencing fatigue, sleep disturbance, and cognitive impairment; monitor patients early after receiving a diagnosis; and provide targeted interventions may prevent long-term deterioration and improve well-being.

Short-term stability and night-to-night variability of sleep parameters in nightmares comorbid with chronic insomnia Disorder across multiple nights of polysomnography.

STUDY OBJECTIVES: The purpose of this study was to examine the degree of short-term stability of polysomnographic (PSG) measured sleep parameters and the overall differences between individuals with comorbid nightmares and insomnia compared to those with chronic insomnia disorder alone or good sleeping controls across four nights in the sleep lab. METHODS: A total of 142 good sleeping controls, 126 chronic insomnia alone, and 24 comorbid insomnia/nightmare participants underwent four consecutive nights of 8-hour PSG recordings. Outcomes included sleep continuity, architecture, and REM-related parameters across nights one through four. Intraclass correlation coefficients with mixed-effect variances and repeated-measure analysis of covariance were used, respectively, to determine short-term stability as well as between-participants and time-by-group interaction effects. RESULTS: Wake after sleep onset and stage 1 showed "poor stability" in the comorbid insomnia/nightmare group compared to "moderate stability" in the good sleeping controls and chronic insomnia alone group. Significant between-group effects (all ps < .05) showed that the comorbid insomnia/nightmare group took longer to fall asleep and had a greater first-night-effect in stage 1 compared to good sleeping controls and chronic insomnia alone group; in addition, the comorbid insomnia/nightmare and insomnia alone groups slept shorter, with fewer awakenings and REM periods, compared to the good sleeping controls. CONCLUSIONS: Nightmares are associated with abnormal sleep above and beyond REM disruption, as sleep continuity was the primary aspect in which poor stability and group differences emerged. The greater inability to fall asleep and instability of sleep fragmentation in those with comorbid insomnia/nightmares compared to chronic insomnia alone may be attributed to the impact of presleep anticipatory anxiety and nightmare-related distress itself. CLINICAL TRIAL INFORMATION: The data analyzed in this study does not come from any current or previous clinical trials. Therefore, there is no clinical trial information to report.

Sleep and Risk of Pancreatic Cancer in the UK Biobank.

BACKGROUND: Light at night, which may cause circadian disruption, is a potential pancreatic cancer risk factor. However, evidence from related exposures such as poor sleep health and shift work remains inconclusive and sparsely investigated. METHODS: We evaluated associations between self-reported typical sleep duration, chronotype, shift work, insomnia symptoms, snoring, and daytime sleeping and pancreatic ductal adenocarcinomas (PDAC) incidence among 475,286 UK Biobank participants. We used Cox proportional hazards models to estimate HRs and 95% confidence intervals (CI) adjusting for age, sex, body mass index, smoking status, duration, and frequency, alcohol intake, diabetes status, race, and employment/shift work. RESULTS: Over 14 years of follow-up, 1,079 adults were diagnosed with PDAC. There were no associations observed between sleep characteristics, including sleep duration [<7 vs. 7-<9 hours; HR, 1.03; 95% CI, 0.90-1.19; ≥9 hours; HR, 1.00 (0.81-1.24), evening chronotype ("definitely" an evening person vs. "definitely" a morning person; HR, 0.99 (0.77-1.29)], shift work, insomnia symptoms, snoring, or daytime sleep and PDAC risk. CONCLUSIONS: Self-reported typical sleep characteristics and shift work were not associated with PDAC risk. IMPACT: Considering the role of light at night and shift work in circadian disruption and cancer risk, it is plausible that poor sleep health among a general population may be related to cancer risk through similar sleep and circadian disrupting processes. This work may suggest that typical sleep characteristics and shift work are not associated with PDAC, although additional work is needed to confirm these findings.

Sleep disorders and mortality: A prospective study in the Canadian longitudinal study on aging.

BACKGROUND AND OBJECTIVES: Sleep disorders are commonly linked to various health conditions, although it remains unclear to what degree they are linked with overall mortality. We compared mortality in different self-reported sleep disorders in a large population-based prospective study. METHODS: In this case-control study within the CLSA cohort, participants completed a questionnaire at baseline (2011-2015) measuring overall sleep satisfaction, daily sleep duration, sleep-onset and sleep-maintenance insomnia, daytime somnolence, REM sleep behavior disorder (RBD), restless leg syndrome (RLS), and obstructive sleep apnea (OSA). The vital status of participants was assessed in July 2019. Baseline sleep problems of participants who died (cases) were compared to those who survived (controls). For each case, five age/sex-matched controls were selected. Binary logistic regression was used to estimate the association between sleep symptoms and mortality, adjusting for age, sex, marital status, province, education, alcohol consumption, smoking, caffeine, and body mass index. In a complementary model, anxiety and depression were also added. RESULTS: Among 30,097 participants at baseline, 974 deaths were reported in 2019 (60.7 % male, age = 72.3 ± 9.4 years). In the initial analysis, mortality cases reported more baseline sleep-maintenance insomnia (12.1 % vs. 8.0 %, Adjusted OR[95%CI] = 1.62[1.15,2.29]), daytime somnolence (2.4 % vs. 1.1 %, AOR = 2.70[1.34,5.44]), and higher possible RLS (16.4 % vs. 12.4 %, AOR = 1.50[1.09,2.05]). They were also more likely to screen positive for possible OSA (33.8 % vs. 24.2 %, AOR = 1.32[1.07,1.64]); however, this effect was not related to core apnea symptoms. Sleep durations exceeding 10 h/day were also associated with increased mortality (3.4 % vs. 1.9 %, AOR = 1.83[1.04,3.24]). Other sleep symptoms/disorders, such as sleep-onset insomnia (7.3 % vs. 4.3 %, AOR = 1.54 [1.00,2.37]), possible RBD (5.3 % vs. 5.1 %, AOR = 1.02[0.62,1.69]), and overall sleep dissatisfaction (26.5 % vs. 22.6 %, AOR = 1.14[0.93,1.41]) were not different among these groups. After adding anxiety and depression to the adjustment model, all differences attenuated to become statistically non-significant, except for daytime somnolence disorder. When stratified by sex, the association between sleep disorders and mortality was only observed in women, with men showing no association. DISCUSSION: We confirm a relationship between numerous sleep disorders and mortality. This effect is most evident in women, and appears to be strongly related to co-existing anxiety and depression.

The joint association of insomnia disorder and lifestyle on the risk of activity-limiting spinal pain: the HUNT Study.

OBJECTIVES: To investigate whether the combination of multiple healthy lifestyle factors modify the well-established association between insomnia disorder and risk of activity-limiting spinal pain. METHODS: We conducted a prospective study of 10,228 individuals who participated in two surveys over ∼11 years and were free of chronic pain in the neck, upper back, and lower back at baseline. Adjusted risk ratios (RRs) were calculated for the risk of activity-limiting chronic spinal pain (i.e., pain that impairs daily activities at work or leisure time) at follow-up associated with the joint association of insomnia disorder and the combination of five lifestyle factors (body mass index, leisure time physical activity, alcohol consumption, diet, and smoking) at baseline. RESULTS: Our data indicate an additive interaction between insomnia disorder and lifestyle on risk of activity-limiting spinal pain, i.e., compared with participants without insomnia disorder and the best lifestyle score, participants with insomnia disorder and the worst lifestyle score had a RR of activity-limiting spinal pain of 3.57 (95 % CI: 2.65-4.80); participants with insomnia disorder and the best lifestyle score had a RR of 1.56 (95 % CI: 0.97-2.50); and those without insomnia disorder and the worst lifestyle score had a RR of 1.32 (95 % CI: 1.12-1.55). CONCLUSIONS: Poor lifestyle behaviour amplifies the adverse effect of insomnia disorder on the risk of activity-limiting chronic spinal pain.

Associations between insomnia symptoms and inflammatory cytokines in adolescents with first-episode and recurrent major depressive disorder.

BACKGROUND: Insomnia symptoms are often associated with increased levels of inflammatory biomarkers. However, such associations have not been adequately explored in adolescents with major depressive disorder (MDD). This study aimed to examine the associations between insomnia symptoms with inflammatory cytokines in adolescents with first-episode and recurrent MDD. METHODS: From January to December 2021, this study included 164 adolescents with MDD and 76 healthy controls (HCs). The Center for Epidemiological Studies Depression Scale (CES-D) and the Insomnia Severity Index Scale (ISI) were used to assess depressive and insomnia symptoms, respectively. Also, plasma levels of interleukin (IL)-1ß, IL-6, IL-8, IL-10, IL-17 A and tumor necrosis factor-α (TNF-α) were measured. RESULTS: The prevalence of mild, moderate and severe insomnia in adolescents with MDD was 40.24 %, 36.59 % and 6.71 %, respectively. The patients had higher levels of IL-1ß, IL-6 and TNF-α than HCs (all p < 0.05). ISI score was positively correlated with CES-D score and levels of IL-1ß, IL-6 and TNF-α in first-episode patients but not in recurrent patients. A further multivariate stepwise linear regression analysis showed that ISI score was independently associated with CES-D score (beta = 0.523, t = 5.833, p < 0.001) and TNF-α levels (beta = 0.254, t = 2.832, p = 0.006). LIMITATIONS: The cross-sectional design leads to failure to make causal inferences. CONCLUSION: Insomnia symptoms are common in adolescents with MDD and associated with elevated levels of inflammatory cytokines in first-episode patients. The findings suggest that inflammatory cytokines may relate to the pathogenesis of insomnia symptoms in adolescents with MDD, but further longitudinal studies are needed to explore the causal association between insomnia symptoms and inflammatory cytokines in MDD.

The impact on the quality of life and sleep complaints in a vitiligo sample and the influence of inflammatory cytokines in the interaction between vitiligo and sleep.

INTRODUCTION: Vitiligo is an autoimmune dermatosis that affects quality of life, which englobes sleep quality. Sleep regulates the immune system, including inflammatory cytokines, and other pathways, which may influence vitiligo pathogenesis. OBJECTIVES: To analyze levels of immune serum components (cytokines) in a vitiligo group, and assess whether there was any association with sleep. METHODS: This study comprised 30 vitiligo patients and 26 control individuals. Quality of life and sleep questionnaires were completed [Dermatology Life Quality Index (DLQI), Short-Form Health Survey (SF-36), Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI)]. Seven cytokines have been measured: IFN-γ, interleukin (IL)-4, IL-6, IL-10, IL-17A, IL-12 p40 and TNF-α. RESULTS: The mean age of the vitiligo group was 47.7 years-old, with prevalence of females (66.7 %). Mucosal (70 %), acral (60 %) and focal subtype (53.3 %) predominated. Signs of vitiligo activity were identified in 63.3 % of the disease sample. Total PSQI scores and scores for domain 4 (sleep efficiency) were statistically worse in vitiligo group. The SF-36 and ISI total scores were worse in the vitiligo group, although not statistically significant compared with controls. Four SF-36 domains were statistically worse in vitiligo sample, and the DLQI mean score was mild to moderate (5.57). Cytokine levels were not different between groups, or when associated with PSQI. Higher ISI scores (more severe insomnia) were related to increased IL-17A. Higher IL-4, IL-6 and IL-10 levels were associated with previous phototherapy. CONCLUSIONS: Poor sleep and impaired aspects of quality of life predominated in the vitiligo sample. Insomnia was related to IL-17A increase in vitiligo. Increased levels of IL-4, IL-6 and IL-10 were related to previous ultraviolet B narrow band (UVB-NB) phototherapy, suggesting an interaction of this treatment on immune system. Sleep disruption and the course of vitiligo may have common pathways in respect of circadian cytokines, which may represent an important subject in vitiligo management.

When Cancer Centers Snooze, Patients Lose: It is Time to Make Insomnia a Priority for Survivors.

Insomnia is a big problem for cancer survivors. Prioritizing evaluation and treatment is essential!

A Preliminary Examination of the Effects and Mechanisms of Cognitive Behavioral Therapy for Insomnia on Systemic Inflammation Among Patients with Knee Osteoarthritis.

BACKGROUND: Systemic inflammation, particularly the elevation of interleukin-6 (IL-6), plays an important role in the maintenance and progression of knee osteoarthritis. Insomnia, being highly prevalent in knee osteoarthritis, is understood to be a risk factor for systemic inflammation. The present study examined if cognitive behavioral therapy for insomnia (CBT-I) would reduce circulating IL-6 levels to a larger extent than the active control condition via greater improvement in sleep maintenance disturbance at mid-treatment, among individuals with knee osteoarthritis and insomnia disorder. METHODS: This is an ancillary study (N = 64) from a larger double-blind, randomized, active controlled clinical trial. Serum IL-6 was measured at baseline, post-treatment, and 3- and 6-month follow-ups. Sleep was measured by daily sleep diaries. RESULTS: Overall, there was no significant IL-6 trajectory differences between CBT-I and the active control (p = .64). Compared to the active control, CBT-I demonstrated greater improvement in sleep maintenance disturbance at mid-treatment (p = .01), which, in turn, was significantly associated with lower levels of IL-6 at 3-month follow-up (p < .05). Sleep maintenance disturbance at mid-treatment did not significantly predict changes in IL-6 levels at post-treatment (p = .43) and 6-month follow-up (p = .90). CONCLUSIONS: Our study demonstrates that CBT-I can be efficacious in improving sleep maintenance disturbance among individuals with knee osteoarthritis and insomnia disorder. However, no convincing evidence was found that CBT-I can substantially reduce IL-6 levels via improvement in sleep. CBT-I alone may not be effective in reducing systematic inflammation in this clinical population. TRIAL REGISTRATION: NCT00592449.

Network analysis of sleep bruxism in the EPISONO adult general population.

Sleep bruxism (SB) has been associated with biological and psychosocial factors. The assessment of SB includes self-report, clinical evaluation, and polysomnography. This study aimed to investigate the associations of self-reported SB with other sleep disorders and demographic, psychological, and lifestyle factors in the adult general population, and to investigate whether self-reported SB and polysomnographically (PSG) confirmed SB provide similar outcomes in terms of their associated factors. We recruited 915 adults from the general population in Sao Paulo, Brazil. All participants underwent a one-night PSG recording and answered questions about sex, age, BMI, insomnia, OSA risk, anxiety, depression, average caffeine consumption, smoking frequency, and alcohol consumption frequency. We investigated the link between SB and the other variables in univariate, multivariate, and network models, and we repeated each model once with self-reported SB and once with PSG-confirmed SB. Self-reported SB was only significantly associated with sex (p = 0.042), anxiety (p = 0.002), and depression (p = 0.03) in the univariate analysis, and was associated with insomnia in the univariate (p < 0.001) and multivariate (ß = 1.054, 95%CI 1.018-1.092, p = 0.003) analyses. Network analysis showed that self-reported SB had a direct positive edge to insomnia, while PSG-confirmed SB was not significantly associated with any of the other variables. Thus, sleep bruxism was positively associated with insomnia only when self-reported, while PSG-confirmed SB was not associated with any of the included factors.

Sleep quality burden in chronic rhinosinusitis with nasal polyps and its modulation by dupilumab.

BACKGROUND: Chronic rhinosinusitis with nasal polyps (CRSwNP) is associated with a substantial burden on patients' quality of life and impaired sleep quality. The most common CRSwNP endotype is characterized by type 2 inflammation, with enhanced production of interleukin (IL)-4, IL-5, and IL-13. Dupilumab is a monoclonal antibody against IL-4 receptor-α, which inhibits both IL-4 and IL-13 signaling, and was recently approved for treatment of CRSwNP. OBJECTIVE: We investigated the effect of dupilumab on the sleep quality of patients with CRSwNP in a real-life setting. METHODS: Patients were evaluated at baseline and after 1 and 3 months of dupilumab treatment by means of the Epworth sleepiness scale (ESS), insomnia severity index (ISI), Pittsburgh sleep quality index (PSQI), and sinonasal outcome test 22 (SNOT-22) sleep domain. RESULTS: A total of 29 consecutive patients were enrolled, and their baseline sleep quality assessment were as follows: ESS of 7.9 (± 4.5); ISI of 13.1 (± 6.2); PSQI of 9.2 (± 3.7); and SNOT-22 sleep domain of 12.1 (± 4.2). Excessive daily sleepiness, insomnia, and globally impaired sleep quality were present in 24.1%, 79.3%, and 93.1% respectively. Treatment with dupilumab was associated with significant improvement in ESS, ISI, PSQI, and SNOT-22 sleep domain with concomitant reduction of the proportion of patients with insomnia and globally impaired sleep quality. CONCLUSION: CRSwNP was associated with a significant impact on global sleep quality, in particular, insomnia, and treatment with dupilumab induced a rapid improvement (after 1 single month of treatment) in all the sleep quality parameters, suggesting that sleep disturbances should be more carefully evaluated as an additional outcome in these patients.

A novel voice interactive sleep log: concurrent validity with actigraphy and sleep diaries.

This is a preliminary validation study of a novel approach to an interactive sleep data collection platform. We compared actigraphy, paper and pencil logs, and the novel voice interactive sleep log in a sample of 17 breast cancer survivors with insomnia symptoms and also report qualitative data on acceptability. We used correlation coefficients and Bland Altman plots to evaluate convergent validity across these measures and report means for acceptability ratings. The sleep log data collected via paper and pencil vs the voice interactive measure had comparable mean values and variable validity coefficients across key sleep variables compared to actigraphy except for wake after sleep onset, where the voice-interactive system had fair concurrent validity with actigraphy. The voice interactive sleep log has several advantages over pencil and paper logs and actigraphy as it reduces patient burden, automatically calculates sleep variables, documents the timeliness of response and provides daily feedback to respondents on calculated sleep metrics. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Identifier: NCT05233800. CITATION: Lewin D, Starling CM, Zhou ES, Greenberg D, Shaw C, Arem H. A novel voice interactive sleep log: concurrent validity with actigraphy and sleep diaries. J Clin Sleep Med. 2024;20(2):309-312.

A cross-sectional analysis of the association between sleep disorders and cancer using data from the National Health and Nutrition Examination Survey (NHANES) 2005-2014.

STUDY OBJECTIVES: Cancer is one of the main causes of death in the world, and sleep disorders are a serious public health problem, especially in large cities; of these, insomnia and obstructive sleep apnea (OSA) are the most common. In the last decade, studies have pointed to a possible association between sleep disorders and cancer. The aim of this study is to evaluate whether there is any association between sleep disorders and cancer. METHODS: Five National Health and Nutrition Examination Surveys (NHANES) (2005-2014) from the United States were combined in order to obtain the sample. Two main sleep variables were assessed: having trouble sleeping and/or ever telling a doctor one had a sleep problem. The odds ratio of ever having a cancer diagnosis was the main outcome. Data were analyzed by binary logistic regression models in Jamovi. RESULTS: The final sample comprised 26,821 participants. Individuals who reported having trouble sleeping had an odds ratio of 1.48 (95% confidence interval = [1.336-1.646]; P < .001) of having been diagnosed with cancer, and those who had already been diagnosed with a sleep disorder had an odds ratio of 1.21 (95% confidence interval = [1.046-1.415]; P = .011), showing an increased chance of having been diagnosed with cancer. In men, these values were even greater, with an odds ratio of 1.56 (95% confidence interval = [1.321-1.843]; P < .001) and an odds ratio of 1.26 (95% confidence interval = [1.013-1.582]; P = .037), respectively, for having trouble sleeping and for having been diagnosed with a sleep disorder, in relation to having been diagnosed with cancer. CONCLUSIONS: Individuals who had trouble sleeping or who had been diagnosed with a sleep disorder at any time in their life were more likely to have been diagnosed with cancer. CITATION: Porcacchia AS, Pires GN, Andersen ML, Tufik S. A cross-sectional analysis of the association between sleep disorders and cancer using data from the National Health and Nutrition Examination Survey (NHANES) 2005-2014. J Clin Sleep Med. 2024;20(4):515-520.

Insomnia and related mental health conditions: Essential neurobiological underpinnings towards reduced polypharmacy utilization rates.

Insomnia represents a significant public health burden, with a 10% prevalence in the general population. Reduced sleep affects social and working functioning, productivity, and patient's quality of life, leading to a total of $100 billion per year in direct and indirect healthcare costs. Primary insomnia is unrelated to any other mental or medical illness; secondary insomnia co-occurs with other underlying medical, iatrogenic, or mental conditions. Epidemiological studies found a 40-50% comorbidity prevalence between insomnia and psychiatric disorders, suggesting a high relevance of mental health in insomniacs. Sleep disturbances also worsen the outcomes of several psychiatric disorders, leading to more severe psychopathology and incomplete remission, plausibly contributing to treatment-resistant conditions. Insomnia and psychiatric disorder coexistence can lead to polypharmacy, namely, the concurrent use of two or more medications in the same patient, regardless of their purpose or rationale. Polypharmacy increases the risk of using unnecessary drugs, the likelihood of drug interactions and adverse events, and reduces the patient's compliance due to regimen complexity. The workup of insomnia must consider the patient's sleep habits and inquire about any medical and mental concurrent conditions that must be handled to allow insomnia to be remitted adequately. Monotherapy or limited polypharmacy should be preferred, especially in case of multiple comorbidities, promoting multipurpose molecules with sedative properties and with bedtime administration. Also, non-pharmacological interventions for insomnia, such as sleep hygiene, relaxation training and Cognitive Behavioral Therapy may be useful in secondary insomnia to confront behaviors and thoughts contributing to insomnia and help optimizing the pharmacotherapy. However, insomnia therapy should always be patient-tailored, considering drug indications, contraindications, and pharmacokinetics, besides insomnia phenotype, clinical picture, patient preferences, and side effect profile.

Proteomic insights into modifiable risk of venous thromboembolism and cardiovascular comorbidities.

BACKGROUND: Venous thromboembolism (VTE) has been associated with several modifiable factors (MFs) and cardiovascular comorbidities. However, the mechanisms are largely unknown. OBJECTIVES: We aimed to decipher proteomic pathways underlying the associations of VTE with MFs and cardiovascular comorbidities. METHODS: A 2-stage network Mendelian randomization analysis was conducted to explore the associations between 15 MFs, 1151 blood proteins, and VTE using data from a genome-wide meta-analysis including 81 190 cases of VTE. We used protein data from 35 559 individuals as the discovery analysis, and from 2 independent studies including 10 708 and 54 219 participants as the replication analyses. Based on the identified proteins, we assessed the druggability and examined the cardiovascular pleiotropy. RESULTS: The network Mendelian randomization analyses identified 10 MF-VTE, 86 MF-protein, and 34 protein-VTE associations. These associations were overall consistent in the replication analyses. Thirty-eight pathways with directionally consistent direct and indirect effects in the MF-protein-VTE pathway were identified. Low-density lipoprotein receptor-related protein 12 (LRP12: 34.3%-58.1%) and coagulation factor (F)XI (20.6%-39.6%) mediated most of the associations between 3 obesity indicators and VTE. Likewise, coagulation FXI mediated most of the smoking-VTE association (40%; 95% CI, 20%-60%) and insomnia-VTE association (27%; 95% CI, 5%-49%). Many VTE-associated proteins were highly druggable for thrombotic conditions. Five proteins (interleukin-6 receptor subunit alpha, LRP12, prothrombin, angiopoietin-1, and low-density lipoprotein receptor-related protein 4) were associated with VTE and its cardiovascular comorbidities. CONCLUSION: This study suggests that coagulation FXI, a druggable target, is an important mediator of the associations of obesity, smoking, and insomnia with VTE risk.

Insomnia and sleep characteristics in post COVID-19 fatigue: A cross-sectional case-controlled study.

OBJECTIVE: Following COVID-19 many patients report persistent fatigue and insomnia. Given the overlapping features, insomnia can be underdiagnosed in post-COVID-19 fatigue patients. This study aimed to determine insomnia severity, prevalence of clinical insomnia and sleep characteristics of post-COVID-19 fatigue patients. Data of post-COVID-19 fatigue patients were compared with those of patients with chronic fatigue syndrome (ME/CFS), a condition resembling post-COVID-19 fatigue. METHODS: In this cross-sectional case-controlled study, insomnia severity, assessed with the Insomnia Severity Index (ISI), and prevalence of clinical insomnia (ISI score ≥ 10), were determined in patients with post-COVID-19 fatigue (n = 114) and compared with ME/CFS (n = 59) using ANCOVA and logistic regression, respectively. Linear regression analyses were used to evaluate whether mood, concentration problems, pain, fatigue (assessed with questionnaires) and diagnosis were associated with insomnia. Sleep characteristics were determined with a sleep diary and accelerometer in post-COVID-19 fatigue and compared with ME/CFS using ANCOVA. RESULTS: In patients with post-COVID-19 fatigue mean (SD) insomnia severity was 11.46 (5.7) and 64% reported clinical insomnia. Insomnia severity was significantly associated with depressive symptoms (ß = 0.49, p = 0.006) and age (ß = 0.08, p = 0.04). The mean (SD) subjective sleep duration was 7.4 (1.0) hours with a sleep efficiency of 82 (11)%. Several subjective sleep characteristics of the post-COVID-19 fatigue patients differed from ME/CFS patients; only sleep duration, being significantly shorter in post-COVID-19 fatigue patients (p = 0.003), seemed clinically relevant (d = 0.58). CONCLUSION: Insomnia severity and prevalence of clinical insomnia are high in patients with post-COVID-19 fatigue. Insomnia should be assessed and if present treated with insomnia focused therapy.

The effect of sleep disorders on quality of life in patients with epilepsy: A multicenter study from Turkey.

OBJECTIVE: We aimed to investigate sleep disorders in patients with epilepsy (PWE) and to investigate the effects of sleep disorders on quality of life. METHODS: In our multicenter study conducted in Turkey, 1358 PWE were evaluated. The demographic and clinical data of the patients were recorded. The Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory (BDI), and Quality of Life in Epilepsy Inventory-10 (QOLIE-10) were administered. RESULTS: The mean age of 1358 patients was 35.92 ±â€¯14.11 (range, 18-89) years. Seven hundred fifty-one (55.30 %) were women. Some 12.7 % of the patients had insomnia (ISI > 14), 9.6 % had excessive daytime sleepiness (ESS > 10), 46.5 % had poor sleep quality (PSQI > 5), and 354 patients (26.1 %) had depressive symptoms (BDI > 16). The mean QOLIE-10 score was 22.82 ±â€¯8.14 (10-48). Resistant epilepsy was evaluated as the parameter with the highest risk affecting quality of life Adjusted odds ratio (AOR = 3.714; 95 % confidence interval (CI): [2.440-5.652] < 0.001)). ISI (AOR = 1.184; 95 % CI: [1.128-1.243]; p < 0.001), ESS (AOR = 1.081; 95 % CI: [1.034-1.130]; p < 0.001), PSQI (AOR = 0.928; 95 % CI: [0.867 - 0.994]; p = 0.034), BDI (AOR = 1.106; 95 % CI: [1.084-1.129]; p < 0.001), epilepsy duration (AOR = 1.023; 95 % CI: [1.004-1.041]; p = 0.014), were determined as factors affecting quality of life. SIGNIFICANCE: Sleep disorders are common in PWE and impair their quality of life. Quality of life can be improved by controlling the factors that may cause sleep disorders such as good seizure control, avoiding polypharmacy, and correcting the underlying mood disorders in patients with epilepsy.

Assessment and personalised advice for fatigue in systemic lupus erythematosus using an innovative digital tool: the Lupus Expert system for the Assessment of Fatigue (LEAF) study.

BACKGROUND: Fatigue is reported as the most prevalent symptom by patients with systemic lupus erythematosus (SLE). Fatigue management is complex due to its multifactorial nature. The aim of the study was to assess the usefulness of an innovative digital tool to manage fatigue in SLE, in a completely automated manner. METHODS: The «Lupus Expert System for Assessment of Fatigue¼ (LEAF) is free digital tool which measures the intensity and characteristics of fatigue and assesses disease activity, pain, insomnia, anxiety, depression, stress, fibromyalgia and physical activity using validated patient-reported instruments. Then, LEAF automatically provides personalised feedback and recommendations to cope with fatigue. RESULTS: Between May and November 2022, 1250 participants with SLE were included (95.2% women, median age 43yo (IQR: 34-51)). Significant fatigue (Functional Assessment of Chronic Illness Therapy-Fatigue <34) was reported by 78.9% of patients. In univariate analysis, SLE participants with fatigue were more likely to be women (p=0.01), perceived their disease as more active (p<0.0001), had higher levels of pain (p<0.0001), anxiety (p<0.0001), depression (p<0.0001), insomnia (p<0.0001), stress (p<0.0001) and were more likely to screen for fibromyalgia (p<0.0001), compared with patients without significant fatigue. In multivariable analysis, parameters independently associated with fatigue were insomnia (p=0.0003), pain (p=0.002), fibromyalgia (p=0.008), self-reported active SLE (p=0.02) and stress (p=0.045). 93.2% of the participants found LEAF helpful and 92.3% would recommend it to another patient with SLE. CONCLUSION: Fatigue is commonly severe in SLE, and associated with insomnia, pain, fibromyalgia and active disease according to patients' perspective. Our study shows the usefulness of an automated digital tool to manage fatigue in SLE.

SLEEP quality in patients with psoriatic arthritis and its relationship with disease activity and comorbidities: a cross-sectional study.

The assessment of psoriatic arthritis is complex and multidimensional. It is increasingly common to include the patient perspective using patient-reported outcomes. Although some research has explored sleep quality in patients with psoriatic arthritis, most studies have had small sample sizes, failed to assess sleep quality considering the inflammatory process together with the psychological well-being of patients, and have not described any use of sleep medication. Further, research to date has not provided data on the relationship of sleep quality with axial forms. In this context, the objective of this study was to assess sleep quality in patients with psoriatic arthritis and its relationship with clinical characteristics, disease activity, functioning, disease impact, fatigue and psychological status. A cross-sectional study was conducted including 247 consecutive patients with PsA recruited during 2021. Sleep quality was measured using the Pittsburgh Sleep Quality Index. We assessed correlations of Pittsburgh Sleep Quality Index score with peripheral disease activity (Disease Activity Index for PSoriatic Arthritis), axial disease activity (Ankylosing Spondylitis Disease Activity Score-C-reactive protein and Bath Ankylosing Spondylitis Disease Activity Index), functioning (Bath Ankylosing Spondylitis Functional Index and Health Assessment Questionnaire), impact (Psoriatic Arthritis Impact of Disease questionnaire), anxiety, depression (Hospital Anxiety and Depression Scale) and fatigue (Functional Assessment of Chronic Illness Therapy-Fatigue) scores. A multiple linear regression model was constructed with PSQI as the dependent variable and as independent variables those that could influence sleep quality. Nearly two-thirds (63.15%) of patients had poor sleep quality. Poorer sleep quality was associated with being female, higher joint counts, greater peripheral and axial disease activity, fatigue, anxiety and depression, functioning and disease impact (p < 0.001). Multiple linear regression analysis found that pain (ß: 0.3; p < 0.007) and fatigue ß: - 0.1; p < 0.001 contributed 40% to the sleep quality model. Poor sleep quality was common among patients with psoriatic arthritis. Emotional factors (fatigue, anxiety) seemed more important than inflammatory factors in sleep quality.