Sleep Disorders in Connective Tissue Diseases-Coexisting Diseases or Disease Components?

This comprehensive review examines the complex relationship between sleep disorders and rheumatic diseases, supported by findings from the latest research articles. It encompasses various rheumatic conditions, including rheumatoid arthritis, systemic lupus erythematosus, and systemic sclerosis. The review reveals the bidirectional relationship between sleep disorders and these diseases, emphasizing their impact on disease progression and quality of life. Conventional and alternative therapeutic interventions for connective tissue diseases are presented, focusing on improving sleep quality and alleviating rheumatic symptoms. The role of pro-inflammatory cytokines and their potential modulation through pharmacological agents is also discussed. In the treatment of sleep disorders, various options are proposed, such as cognitive behavioral therapy for insomnia, physical activity, dietary modifications, and alternative approaches like reflexology and acupuncture. Thus, this review offers a nuanced understanding of the connection between sleep disorders and rheumatic diseases, supported by evidence from diverse studies. Such an approach is particularly important because it enhances sleep quality for overall patient well-being in the holistic management of rheumatic conditions.

Financial Hardship and Sleep Quality Among Black American Women With and Without Systemic Lupus Erythematosus

OBJECTIVE

To compare dimensions of financial hardship and self-reported sleep quality among Black women with versus without systemic lupus erythematosus (SLE).

METHODS

Participants were 402 Black women (50% with validated diagnosis of SLE) living in Georgia between 2017 and 2020. Black women with SLE were recruited from a population-based cohort established in Atlanta, and Black women without SLE were recruited to be of comparable age and from the same geographic areas as SLE women. Financial hardship was measured using three different scales: financial adjustments, financial setbacks, and financial strain. Sleep was assessed continuously using the Pittsburgh Sleep Quality Index (PSQI) scale. Each dimension of financial hardship was analyzed separately in SLE-stratified multivariable linear regression models and adjusted by sociodemographic and health status factors.

RESULTS

Dimensions of financial hardship were similarly distributed across the two groups. Sleep quality was worse in Black women with, versus without, SLE (p < .001). Among Black women with SLE, financial adjustment was positively associated with a 0.40-unit increase in poor sleep quality (95% CI = 0.12-0.67, p = .005). When accounting for cognitive depressive symptoms, financial setbacks and strain were somewhat attenuated for Black women with SLE. Overall, no associations between financial hardships and sleep quality were observed for the women without SLE.

CONCLUSIONS

Black women with SLE who experience financial hardships may be more at risk for poor sleep quality than Black women without SLE. Economic interventions targeting this population may help improve their overall health and quality of life.

Actigraphic and self-reported characterization of sleep in systemic lupus erythematosus patients

OBJECTIVES

In a cross-sectional study, we explored possible differences in sleep parameters between SLE patients and age- and gender-matched healthy controls through actigraphic and self-reported measures. Furthermore, we aimed to identify possible predictors of such disturbances in the patient cohort.

METHODS

Participants' sociodemographic data and sleep parameters were collected. Sleep parameters were evaluated through the Pittsburgh Sleep Quality Index, the Insomnia Severity Index and 7-day actigraphic monitoring. The 10-item Perceived Stress Scale was used to investigate stress. Disease activity and daily glucocorticoid dose were assessed in SLE patients. Possible predictors of the SLE group were explored through two binomial logistic models. Within the SLE group, possible predictors of sleep parameters were tested estimating multiple linear regression models.

RESULTS

A total of 40 SLE patients and 33 controls were included in the study. The SLE group showed worse sleep maintenance actigraphic parameters (i.e. sleep efficiency and wake after sleep onset), higher total sleep time and higher perceived stress. Within the SLE cohort, the daily glucocorticoids dose was associated with an impairment in sleep maintenance despite no reduction in sleep duration, typical of normal sleep duration insomnia, whereas perceived stress was associated with short sleep duration insomnia.

CONCLUSION

Compared with healthy controls, SLE patients showed worse sleep quality and greater perceived stress severity. As glucocorticoids and perceived stress are associated with different types of insomnia in these patients, a multidimensional approach to both sleep characterization and therapy might be preferred.

Anti-ribosomal P protein antibodies and insomnia correlate with depression and anxiety in patients suffering from systemic lupus erythematosus

Objective

Anxiety and depression in patients with systemic lupus erythematosus (SLE) complicate clinical treatment and can seriously affect prognosis. The present study aims to investigate the effects of the anti-ribosomal P protein antibody (anti-RibP) in the peripheral blood and insomnia on the severity of anxiety and depression in case of SLE. The study compared both the results of the investigation on the objective perceptions of physicians concerning mood changes in patients with SLE and the results of self-rating scales that were completed by the enrolled patients. The conclusion of the comparation is used to determine the probability of the accurate detection of anxiety and depression by physicians. The study aims to assist in the early detection in clinical practice of abnormal emotions in patients with SLE and to summarize common clinical interventions for anxiety and depression.

Method

The relationship between anxiety and depression was evaluated by the Zung self-rating anxiety/depression scale (SAS/SDS). Basic information (e.g., blood type, smoking history, drinking history, educational background, duration of illness), the insomnia severity index (ISI) results, and anti-RibP in the peripheral blood, were investigated in 107 patients with SLE in northeastern China to further analyze the correlation between the severity of depression and anti-RibP, together with the consistency between results of the questionnaire for physicians and the self-rating scale for patients.

Results

Gender, smoking history, drinking history, educational background, and duration of illness were correlated with the SAS/SDS scores (P < 0.05). Family history had a significant effect on the SAS score (P = 0.031), while the SDS score was significantly correlated with blood type (P = 0.021). The ISI score was significantly and positively correlated with the SAS/SDS score (P < 0.001). The titer of anti-RibP showed a correlation with the SDS score (P < 0.05) but not with the SAS score (P = 0.198). The titer of anti-RibP was significantly higher in patients with major depression compared with those with no depression, patients with mild depression, and those with moderate depression (P < 0.001).

Conclusion

Anxiety and depression in patients with SLE were correlated with sleeping, educational background, blood type, smoking history, and alcohol consumption. Although anti-RibP was not significantly correlated with anxiety, it indicated a significant correlation with major depression. Clinicians were more accurate in assessing anxiety compared with depression.

Development of a nomogram prediction model for depression in patients with systemic lupus erythematosus

Systemic lupus erythematosus (SLE) is an inflammatory autoimmune disease with depression as one of its most common symptoms. The aim of this study is to establish a nomogram prediction model to assess the occurrence of depression in patients with SLE. Based on the Hospital Anxiety and Depression Scale cutoff of 8, 341 patients with SLE, recruited between June 2017 and December 2019, were divided into depressive and non-depressive groups. Data on socio-demographic characteristics, medical history, sociopsychological factors, and other risk factors were collected. Between-group differences in clinical characteristics were assessed with depression as the dependent variable and the variables selected by logistic multiple regression as predictors. The model was established using R language. Marital status, education, social support, coping, and anxiety predicted depression (p < 0.05). The nomogram prediction model showed that the risk rate was from 0.01 to 0.80, and the receiver operating characteristic curve analysis showed that the area under the curve was 0.891 (p < 0.001). The calibration curve can intuitively show that the probability of depression predicted by the nomogram model is consistent with the actual comparison. The designed nomogram provides a highly predictive assessment of depression in patients with SLE, facilitating more comprehensive depression evaluation in usual clinical care.

An evaluation of sleep habits and childhood-onset systemic lupus erythematosus

OBJECTIVES

Systemic lupus erythematosus (SLE) is a multisystem autoimmune disease, known for its heterogeneous clinical presentation. Although it is rarer in children, a more severe clinical course can be seen than in adults. It is known that sleep has physiological and developmental importance in children, and there are many studies on sleep quality in adult SLE patients. The aims of this study are to evaluate the sleep habits of children and adolescents with SLE and to compare them with their healthy peers.

METHODS

The study included 48 children and adolescents with SLE and 64 healthy peers as a control group. The Children's Sleep Habits Questionnaire was used to evaluate the sleep characteristics of children.

RESULTS

The age and gender of the children were similar across groups. The bedtime resistance and night waking scores of SLE patients were significantly higher than those of the control group. Total sleep score was higher in patients with SLE than in the control group, but there was no significant difference (47.13±7.63 vs 44.61±8.17; p=0.051). Similarly, the rate of sleep disorders in the patient group (75%) was higher than that of the control group (61%), though the differences were not statistically significant (p = 0.156). There was no correlation between disease severity and sleep problems.

CONCLUSION

This research demonstrated that sleep disorders tend to increase in children and adolescents with SLE. Therefore, clinicians should pay attention to sleep disorders during the follow-up sessions of children and adolescents with SLE. Key Points • Sleep disorders tend to increase in children and adolescents with SLE. • Disease severity is not associated with sleep problems.

Prevalence and biopsychosocial factors associated with depressive symptoms among patients living with systemic lupus erythematosus in clinical settings in urban Thailand

BACKGROUND

Depressive symptoms are globally recognized as a significant mental health problem in patients with chronic disease, particularly those with systemic lupus erythematosus (SLE). The purpose of this study was to estimate the prevalence and examine biopsychosocial factors of depressive symptoms among patients with SLE.

METHODS

This cross-sectional study was conducted among 185 participants diagnosed with SLE and received treatment for at least 3 months, aged 18-59 years attending the outpatient clinic of a university hospital, Bangkok, Thailand. Depressive symptoms were measured by the Thai version of the Patient Health Questionnaire-9. We assessed Demographic data, the Systemic Lupus Erythematosus Activity Index, the Systemic Lupus International Collaborating Clinics Damage Index, Numeric Rating Scale, Fatigue Severity Scale, Body Image Scale, and the ENRICHD Social Support Instrument. Data were collected from March to May 2021. Multivariable logistic regression was used to analyze the data.

RESULTS

The proportion of the participants with depressive symptoms was 43.2%, which 8.1% of those patients presented moderate to severe depressive symptoms. In a multivariable logistic regression model, SLE patients with depressive symptoms were more likely to be severe pain (aOR = 12.11, 95% CI: 1.35, 108.46), fatigue (aOR = 2.36, 95%CI: 1.08, 5.14), taking prednisolone ≥15 mg daily (aOR = 5.75, 95%CI: 1.76, 18.80), low satisfied of body image (aOR = 12.49, 95%CI: 2.23, 69.80), and low social support (aOR = 17.96, 95% CI: 1.86, 173.77). Disease flare, organ damage, and family income sufficiency did not significantly increase the risk of depressive symptoms in patients with SLE.

CONCLUSIONS

The findings highlight depressive symptoms in patients with SLE. Therefore, the health professional should be concerned about the perception of body image, level of social support, fatigue, and pain while treating patients with SLE. Public health screening programs to identify depressive symptoms in patients with SLE are needed. In addition, a high dose of prednisolone should be considered if required, along with monitoring.

Factors affecting sleep quality in patients with systemic lupus erythematosus

OBJECTIVE

This study aimed to assess the sleep quality and the factors affecting the sleep quality in patients with SLE.

METHODS

This was a descriptive and cross-sectional study conducted in 105 patients with SLE who were admitted to the rheumatology polyclinic of a university hospital between May and July 2017. The data were collected using a "Patient Description Form" and the "Pittsburgh Sleep Quality Index (PSQI)."

RESULTS

The total mean (standard deviation) PSQI score of the patients was 7.81 (3.11). Duration of disease, presence of comorbid diseases, side effects of drugs, and sleep disruption and related problems were identified as factors affecting sleep quality. The model of the regression showed that side effects of drugs, sleep disruption, and trouble falling asleep suffered higher PSQI score (bad sleep quality).

CONCLUSIONS

Results of this study showed that the sleep quality was generally poor in patients with SLE. Sleep quality was affected by some disease and sleep variables. Therefore, comprehensive sleep evaluation is necessary in the planning of treatment and care of SLE patients and to implement initiatives to improve sleep patterns in these patients.

Sleep Problems in Chronic Inflammatory Diseases: Prevalence, Treatment, and New Perspectives: A Narrative Review

Epidemiological studies have shown that individuals with sleep problems are at a greater risk of developing immune and chronic inflammatory diseases. As sleep disorders and low sleep quality in the general population are frequent ailments, it seems important to recognize them as serious public health problems. The exact relation between immunity and sleep remains elusive; however, it might be suspected that it is shaped by others stress and alterations of the circadian rhythm (commonly caused by for example shift work). As studies show, drugs used in the therapy of chronic inflammatory diseases, such as steroids or monoclonal antibodies, also influence sleep in more complex ways than those resulting from attenuation of the disease symptoms. Interestingly, the relation between sleep and immunity appears to be bidirectional; that is, sleep may influence the course of immune diseases, such as inflammatory bowel disease. Thus, proper diagnosis and treatment of sleep disorders are vital to the patient's immune status and, in effect, health. This review examines the epidemiology of sleep disorders and immune diseases, the associations between them, and their current treatment and novel perspectives in therapy.

A Survey on Sleep Disorders and Related Hormones in Patients with Newly Diagnosed Systemic Lupus Erythematosus

Background and Objectives

Systemic lupus erythematosus (SLE) is reportedly associated with sleep disorders. Thus, the present study aimed to investigate sleep disorders in newly diagnosed SLE patients.

Materials and Methods

This study was conducted on patients with newly diagnosed SLE (ie, case group) and a control group. The case and control groups were matched in terms of gender, age, socioeconomic status, and educational level. Venous blood samples were obtained from the participants to measure prolactin and melatonin levels. Furthermore, they were subjected to polysomnography. The data were analysed by SPSS (version 16) at a significance level of 0.05.

Results

A total of 28 women were enrolled in this study (ie, 14 individuals in each group). The frequencies of sleep disorder in the case and control groups were obtained as 64.3% and 50%, respectively (P=0.4). These two groups had the mean sleep onset times of 10.76±10.64 and 8.67±7.12 min (P=0.5) and the respiratory disturbance indices of 9.20±10.23 and 8.44±9.27, respectively (P=0.8). The frequency of sleep apnoea was obtained at 50% for both case and control groups (P=1). There was no significant difference between these groups in terms of the mean serum prolactin and melatonin levels (P=0.3 and P=0.2, respectively). Serum melatonin level showed a direct correlation with sleep latency to N1 (i.e., the first part of non-rapid eye movement in sleep) and spontaneous arousal index in the case group (P=0.02, r=0.602 and P=0.04, r=0.544, respectively).

Conclusion

According to the findings, there was no significant difference in the frequency of sleep disorders between the healthy subjects and patients at the onset of lupus. Additionally, melatonin and prolactin levels showed no significant difference between the groups. Our results are inconsistent with previous studies, due to the difference in disease duration probably. It seems that the chronicity and complications of the disease, as well as the adoption of glucocorticoid therapy for the chronic disease affect sleep quality in SLE patients more than disease duration.

Poorer sleep quality correlated with mental health problems in college students: A longitudinal observational study among 686 males

OBJECTIVE

Poor sleep quality and mental health problems are common in college students. The objective of this study is to examine whether sleep quality predicts the risk of future mental health problems, and vice versa.

METHODS

The sleep quality and mental health status of 686 male college students were estimated, and 582 of them were followed up a year later. Subjective sleep quality and mental health problems were measured with the Pittsburgh Sleep Quality Index (PSQI) and the Depression Anxiety Stress Scale-21 (DASS-21), respectively.

RESULTS

Either at baseline or during follow-up, the PSQI global score was positively associated with scores for depression, anxiety, and stress on the DASS-21 (p's < 0.001). Longitudinal analyses revealed that DASS-21 total score increased in line with increased of PSQI global score during the year (p < .001). More importantly, the cross-lagged analysis showed that (i) PSQI global score at baseline was positively related to depression (β = 0.261), anxiety (β = 0.321), and stress (β = 0.311) scores a year later (p's < 0.001) and (ii) depression (β = 0.259), stress (β = 0.245) and anxiety (β = 0.292) scores at baseline were related to PSQI global score a year later (p's < 0.001). Finally, we further found that among those without mental health problems at baseline, poorer baseline sleep quality predicted a higher risk of anxiety symptoms a year later (RR 3.07, 95% CI 1.36-6.97, p = .007).

CONCLUSIONS

These data may suggest a bidirectionally relationship between sleep quality and mental health problems.

Decreased sleep quality in patients with systemic lupus erythematosus: a meta-analysis

OBJECTIVES

To obtain a reliable estimation on the sleep quality in patients with systemic lupus erythematosus (SLE) and identify the main sleep problems, a meta-analysis was performed.

METHODS

Up to March 21, 2020, PubMed, EMBASE, and Cochrane Library were searched; quality evaluation were conducted with Newcastle-Ottawa Scale; statistical analyses were performed by stata14.0 software; results were expressed by weighted mean difference or standardized mean difference (WMD/SMD) and 95% confidence interval (CI).

RESULTS

Eighteen case-control studies were included in meta-analysis, 1086 SLE patients and 2866 controls were collected. The score of sleep quality in the case group was higher than that in the control group (SMD = 1.03, 95% CI: 0.80-1.27), and so was the Pittsburgh Sleep Quality Index (PSQI) (WMD = 3.45, 95% CI: 2.49-4.42). The first three complaints of sleep problems in PSQI were daytime dysfunction (WMD = 0.64, 95% CI: 0.36-0.92), subjective sleep quality (WMD = 0.62, 95% CI: 0.40-0.84), and habitual sleep efficiency (WMD = 0.54, 95% CI: 0.37-0.72). Subgroup analyses showed that the score of sleep quality in SLE patients were higher than controls among different regions, races, and disease duration. The sleep quality score of SLE patients with fibromyalgia (FM) was higher than that in general control, but no significant difference as compared with SLE patients without FM.

CONCLUSIONS

Our meta-analysis indicates that the sleep quality of SLE patients is worse than that of the general population; thus, more attention should be paid to the sleep status among this disease. Key Points •The sleep quality of SLE patients is worse than that of the general population. •Region, race, and disease duration are correlated with sleep quality in SLE patients.

Fatigue in adults with primary antiphospholipid syndrome: findings from a mixed-methods study

Objective

This study aimed to explore the experience and impact of fatigue in adults with primary antiphospholipid syndrome (pAPS).

Methods

This sequential, explanatory mixed-methods study enrolled adults with a six-month or more history of pAPS. Consenting participants completed the Functional Assessment of Chronic Illness Therapy–Fatigue subscale (FS), Multi-Dimensional Perceived Social Support Scale, Patient Health Questionnaire (PHQ9), Pittsburgh Sleep Quality Index (PSQI), International Physical Activity Questionnaire (IPAQMETS). Relationships between FS and other variables were explored with multiple linear regression. Interviews were conducted with a subgroup of participants, and the data were analysed thematically.

Results

A total of 103 participants were recruited (M_age = 50.3 years; standard deviation = 10.1 years; 18 males). Of these, 62% reported severe fatigue. Greater fatigue was associated with lower mood, physical inactivity, poorer sleep quality and lower perceived social support. The best-fit model explained 56% of the variance in FS (adjusted R² = 0.560, F(3, 74) = 33.65, p > 0.001) and included PHQ9 and IPAQMETS as significant predictors, and PSQI as a non-significant predictor. Twenty participants completed interviews. Three key themes were identified: characteristics of fatigue, impact on life and coping strategies.

Conclusion

Fatigue was a common symptom of pAPS and challenging to manage. Other factors, particularly mood and physical activity, influenced fatigue. Evidence-based self-management interventions are needed.

The prevalence of insomnia and restless legs syndrome among Japanese outpatients with rheumatic disease: A cross-sectional study

The prevalence of symptomatic insomnia and the prevalence of restless legs syndrome (RLS) are known to be higher among patients with rheumatic diseases compared to the general population. The prevalences of insomnia and RLS reported in a questionnaire by Japanese patients with rheumatic diseases at an outpatient clinic were analyzed herein. The association between the patients' disease activity and their sleep quality was analyzed. Of 121 rheumatic disease patients, 70 were enrolled. The median (interquartile range) age at enrollment was 62.0 (47.8-68.0) years. There were 58 women (82.9%) and 12 men (17.1%), and 43 patients (61.4%) with rheumatoid arthritis (RA), nine (12.9%) with systemic lupus erythematosus (SLE), and 18 (25.7%) with other rheumatic diseases. Twenty patients (28.6%) had one or more moderate-to-severe insomnia symptoms, and 10 (14.3%) were diagnosed with RLS. Among the patients with RA, the swollen joint count based on a 28-joint assessment (SJC28) was significantly higher in the insomnia group (n = 13) compared to the non-insomnia group (n = 30) (p = 0.006). A classification and regression tree (CART) analysis showed that the cut-off points of ≥3 mg/day prednisolone (PSL) treatment and <16.54% as the transferrin saturation (TSAT) value would best predict RLS in rheumatic disease. Patients with rheumatic disease had a high prevalence of symptomatic insomnia and RLS. A higher dose of PSL and lower TSAT were associated with the occurrence of RLS.

The impacts of resilience on the association between illness uncertainty and sleep quality among Chinese women with systemic lupus erythematosus

OBJECTIVE

Our study aimed to investigate the effect of illness uncertainty on sleep quality among SLE women. Meanwhile, the role of resilience was explored in the association of illness uncertainty with sleep quality.

METHODS

This cross-sectional study was carried out from 2017 to 2018 in Liaoning province, China. Totally, 204 (81.6%) completed questionnaires concerning Pittsburgh Sleep Quality Index (PSQI), Mishel Uncertainty in Illness Scale for Adults (MUIS-A), Connor-Davidson Resilience Scale (CD-RISR), demographic, and clinical characteristics were collected. Multiple hierarchical regression analysis was used to test the associations of illness uncertainty, resilience, and the illness uncertainty*resilience interaction with sleep quality. The mediating role of resilience was explored by applying asymptotic and resampling strategies.

RESULTS

The mean of PSQI score was 10.71 ± 3.68. Illness uncertainty was negatively related to sleep quality. The illness uncertainty*resilience interaction term was significantly associated with sleep quality. The effect of illness uncertainty on sleep quality was gradually weaken from low (1 SD below the mean, β = 0.151, P < 0.001), mean (β = 0.294, P < 0.001), to high (1 SD above the mean, β = 0.437, P < 0.001) levels of resilience. Meanwhile, resilience partially mediated the association of illness uncertainty with sleep quality (a*b = 0.2383, BCa 95% CI: 0.1021, 0.3842).

CONCLUSIONS

Poor sleep quality was the most frequent among SLE women. Illness uncertainty and resilience may be related factors associated with sleep quality. Thus, in practice, more targeted information support should be offered to increase illness perception. Moreover, more targeted psychological interventions based on resilience should be provided to enhance resilience in order to improve sleep qualityKey Points• Illness uncertainty may be related factor associated with sleep quality and negatively affected sleep quality among women with systemic lupus erythematosus (SLE).• Resilience acted as a moderator in the relationship between illness uncertainty and sleep quality among women with SLE. Meanwhile, resilience partially mediated the association of illness uncertainty with sleep quality.• More targeted information supports and psychological interventions based on resilience should be provided to enhance illness perception and resilience in order to improve sleep quality.

Prevalence and metric of depression and anxiety in systemic lupus erythematosus: A systematic review and meta-analysis

OBJECTIVES

To systematically review and synthesize literature on 1) the overall prevalence of depression and anxiety in SLE patients in identified studies, and 2) the pooled prevalence per metrics of depression and anxiety in adult SLE patients.

METHODS

This review used (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) PRISMA guidelines and in-depth searches in four databases (1954-2016; Ovid-based Medline, Embase, PsycINFO and CINAHL) to identify articles on the prevalence of depression and/or anxiety in adult SLE patients. Included studies were critically appraised and analyzed. The prevalence of depression and anxiety was studied for all included studies, and whenever possible, pooled prevalence (PP) was determined for more commonly used metrics. Statistical and publication bias was assessed using funnel plots.

RESULT

A total of 3103 references were identified, 226 were selected for detailed review and 72 were included in the final analysis.

OVERALL PREVALENCE

The depression PP, obtained from 69 studies representing 23,386 SLE patients, was 35.0% (95% CI: 29.9%-40.3%). The anxiety PP, obtained from 38 studies representing 4439 SLE patients, was 25.8% (95% CI: 19.2%-32.9%).

PREVALENCE PER METRICS USED

The more commonly used instruments included the Centre for Epidemiological Studies - Depression (CES-D), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Hospital Anxiety and Depression Scales (HADS-A/D), and Hamilton Rating Scales for Depression/Anxiety (HAM-D/A)]. The CES-D was utilized in 13 studies including 1856 SLE patients; depression PP was 41.5% (95% CI: 35.1%-48.1%). The BDI was utilized in 14 studies including 1355 SLE patients and the BAI in 3 studies including 489 patients; depression PP was 39.9% (95% CI: 31.1%-49.1) and anxiety PP was 38.4% (95% CI: 34.2%-42.8%). The HADS-D was utilized in 14 studies including 1238 SLE patients and the HADS-A in 12 studies including 1099 patients respectively; its depression PP was 24.4% (95% CI: 19.1%-30.1%) and anxiety PP was 38.3% (95% CI: 29.1%-47.9%). The HAM-D was utilized in 4 studies including 267 SLE patients and the HAM-A in 4 studies including 213 patients respectively; its depression PP was 40.0% (95% CI: 23.0%-59.0%) and anxiety PP was 39.0% (95% CI: 32.0%-45.0%).

CONCLUSION

There was high variability in the prevalence of depression and anxiety, ranging from 8.7%-78.6% and 1.1%-71.4%, respectively. This could be attributed to the lack of consistency in the metrics used and its definition for depression and anxiety in SLE. Studies that used a specific metric, such as the CES-D, BDI or HAM-D, yielded similar depression prevalence. The HADS-D had the lowest prevalence. All metrics of anxiety yielded similar anxiety prevalence.

Unmet Needs in the Pathogenesis and Treatment of Systemic Lupus Erythematosus

Systemic lupus erythematosus (SLE) is an autoimmune rheumatic disease with a prevalence of approximately 1 in 1000. Over the last 30 years, advances in treatment such as use of corticosteroids and immunosuppressants have improved life expectancy and quality of life for patients with lupus and the key unmet needs have therefore changed. With the reduced mortality from disease activity, development of cardiovascular disease (CVD) has become an increasingly important cause of death in patients with SLE. The increased CVD risk in these patients is partly, but not fully explained by standard risk factors, and abnormalities in the immune response to lipids may play a role. Invariant natural killer T cells, which are triggered specifically by lipid antigens, may protect against progression of subclinical atherosclerosis. However, currently our recommendation is that clinicians should focus on optimal management of standard CVD risk factors such as smoking, blood pressure and lipid levels. Fatigue is one of the most common and most limiting symptoms suffered by patients with SLE. The cause of fatigue is multifactorial and disease activity does not explain this symptom. Consequently, therapies directed towards reducing inflammation and disease activity do not reliably reduce fatigue and new approaches are needed. Currently, we recommend asking about sleep pattern, optimising pain relief and excluding other causes of fatigue such as anaemia and metabolic disturbances. For the subgroup of patients whose disease activity is not fully controlled by standard treatment regimes, a range of different biologic agents have been proposed and subjected to clinical trials. Many of these trials have given disappointing results, though belimumab, which targets B lymphocytes, did meet its primary endpoint. New biologics targeting B cells, T cells or cytokines (especially interferon) are still going through trials raising the hope that novel therapies for patients with refractory SLE may be available soon.

Pattern of sleep dysfunction in systemic lupus erythematosus: a cluster analysis

OBJECTIVES

To investigate how the different components of sleep dysfunction described in SLE patients combine together in sleep clusters.

METHODS

We conducted a cross-sectional study on a perspective cohort of 79 SLE patients (mean age 8.2 ± 14.3 years). Sleep was evaluated using Pittsburgh Sleep Quality Index (PSQI). Clusters were defined using the single components of PSQI in a hierarchical clustering model. We used Beck Depression Inventory, Hamilton Anxiety Rating Scale, and Medical Outcomes Study Short Form 36 (SF36) to measure depressive symptoms, anxiety, and quality of life, respectively.

RESULTS

Three sleep clusters were identified. The cluster 1 (N = 47) is characterized by the lowest values of PSQI total score. The cluster 2 (N = 21) presents higher values of sleep latency, but sleep duration similar to cluster 1. In cluster 3 (N = 11), we found sleep latency increased as in cluster 2, but the highest values of PSQI total score and reduced sleep duration. Scores of anxiety and sedentary time were higher in clusters 2 and 3 than in cluster 1. Cluster 3 presented the highest scores of depression and reduced mental and physical components of SF36.

CONCLUSIONS

The combination of different sleep components in SLE patients allowed us to identify three patterns of dysfunction: a first cluster with better sleep latency and duration, a second with increased sleep latency but conserved duration, and a third with impairment of both latency and duration. The stratification of sleep disorders in clusters might be useful for the personalization of therapy in relation to sleep cluster membership.

Association of Depression With Risk of Incident Systemic Lupus Erythematosus in Women Assessed Across 2 Decades

IMPORTANCE

It has long been hypothesized that depression may increase the risk of developing autoimmune disease; however, rigorous empirical evidence is sparse.

OBJECTIVE

To evaluate whether an association exists between depression and risk of incident systemic lupus erythematosus (SLE), a paradigmatic, systemic autoimmune disease.

DESIGN, SETTING, AND PARTICIPANTS

This 20-year prospective, longitudinal cohort study evaluated data collected from 2 cohorts of women participating in the Nurses' Health Study (1996-2012) and the Nurses' Health Study II (1993-2013). Data analyses were conducted from August 2017 to May 2018.

MAIN OUTCOMES AND MEASURES

Incident SLE with 4 or more American College of Rheumatology criteria was ascertained by self-report and confirmed by medical record review. Depression was assessed repeatedly throughout follow-up according to whether women reported having received a clinician's diagnosis of depression, regular antidepressant use, or a score of less than 60 on the 5-item Mental Health Inventory (MHI-5). Whether longitudinally assessed health risk factors (eg, cigarette smoking, body mass index, oral contraceptive use, menopause or postmenopausal hormone use, alcohol use, exercise, or diet) accounted for increased SLE risk among women with vs without depression was examined. Cox proportional hazards regression models were used to estimate risk of SLE. In addition, the association of depression lagged by 4 years, and depression status at baseline with incident SLE throughout follow-up was assessed.

RESULTS

Data from 194 483 women (28-93 years of age; 93% white) were included. During 20 years of follow-up, 145 cases of SLE occurred. Compared with women with no depression, women with a history of depression had a subsequent increased risk of SLE (HR, 2.67; 95% CI, 1.91-3.75; P < .001). Adjustment for body mass index, cigarette smoking, and oral contraception and postmenopausal hormone use slightly attenuated associations (adjusted HR, 2.45; 95% CI, 1.74-3.45; P < .001). The SLE risk was elevated with each of the 3 following depression indicators modeled separately: clinician's diagnosis of depression (HR, 2.19; 95% CI, 1.29-3.71), antidepressant use (HR, 2.80; 95% CI, 1.94-4.05), and MHI-5 scores indicating depressed mood (HR, 1.70; 95% CI, 1.18-2.44). Associations remained strong when depression status was lagged by 4 years with respect to the outcome (HR, 1.99; 95% CI, 1.32-3.00) and when depression status at baseline was used as the exposure (HR, 2.28; 95% CI, 1.54-3.37).

CONCLUSIONS AND RELEVANCE

This study contributes to increasing evidence that depression may be associated with increased risk of SLE and suggests that the association is not fully explained by measured health factors or behaviors.

Systemic lupus erythematosus is associated with negatively variable impacts on domains of sleep disturbances: a systematic review and meta-analysis

Sleep disturbances are common in systemic lupus erythematosus (SLE), but the features of sleep disturbances are not well understood. The aim of this study was to identify the impact of SLE on specific sleep quality domains and to determine its prevalence and associations. We performed a systematic review and meta-analysis to compare the sleep outcomes of individuals with SLE and healthy controls. PubMed, MEDLINE, EMBASE, Cochrane Library, Web of Science CNKI, VIP, CNKI and Wanfang database were searched to find the published literatures (from these databases established to May 2017). Studies were screened according to inclusion and exclusion criteria and the qualities of included studies were evaluated. The data was analyzed using Revman5.3 software. Score of the Pittsburgh Sleep Quality Index (PSQI) scoring system was used as the outcome measurement, and mean differences (MD) with 95% confidence intervals (CI) were calculated. Five studies were included, including 350 SLE and 1396 healthy controls. A total of 5 studies including 827 patients were eligible for inclusion in the systematic review and meta-analysis. In this meta-analysis, each domain of the PSQI score: subjective sleep quality (MD, .58; 95% CI, .26, .89), sleep latency(MD, .47; 95% CI, .21, .73), sleep duration (MD, .36; 95% CI, .13, .58), habitual sleep efficiency (MD, .58; 95% CI, .32, .84),sleep disorders (MD, .56; 95% CI, .34, .77), use of sleep medication (MD, .56; 95% CI, .33, .80), daytime dysfunction (MD, .57; 95% CI, .11, 1.04) and the global score (MD, 3.59; 95% CI, 1.37, 5.80) were higher in SLE women than healthy controls. Furthermore, subjective sleep quality and habitual sleep efficiency were most severely affected especially. It demonstrated that targeted interventions should be done to improve their sleep quality. Early recognition and appropriate intervention are essential to reduce the negative impact of sleep disturbances on the patient's sleep quality and outcome of their disease.

Sleep disorders associated with risk of rheumatoid arthritis

BACKGROUND

Immune disorders impair sleep quality and sleep disorders (SDs) may derange immune function.

PURPOSE

The study evaluated the incidence and risk of rheumatoid arthritis (RA) in patients with SDs using a nationwide cohort.

METHODS

We recognized the patients with SDs from 1998 to 2002 by using the Taiwan National Health Insurance Research Database. One control patient for each SD patient was randomly selected and matched based on the proportion of age, sex, and index year. We calculated the person years of follow-up for each participant from the index date to RA diagnosis, censoring, or until December 31, 2011. The risk of RA was estimated by using Cox models incorporating demographics and comorbidities.

RESULTS

We enrolled 65,754 patients with SDs and 65,753 controls and followed for 637,906 and 662,514 person-years, respectively. The patients with SDs exhibited a 1.49-fold greater risk of RA development compared with the comparison cohort when we adjusted for covariates. The patients with sleep apnea (SA) showed the greatest incidence density rate of RA, followed by those with non-apnea SDs and the non-SD cohort (4.11, 3.29, and 2.15 per 10,000 person-years, respectively). The SA cohort had a 2.56-fold adjusted hazard ratio (aHR) of RA (95% confidence interval [CI] = 1.11-5.91) and the non-apnea SD cohort had a 1.47-fold aHR of RA (95% CI = 1.18-1.84) compared with the non-SD cohort. Women with SDs presented a considerable risk of developing RA.

CONCLUSIONS

This nationwide cohort study indicates that SDs are associated with the risk of RA development.

Illness perception is significantly determined by depression and anxiety in systemic lupus erythematosus

Objectives Illness perception is a cognitive representation influencing physical and psychological functioning and adherence in patients with rheumatic disease. Studies exploring illness perception in systemic lupus erythematosus (SLE) are still scarce and none of them have investigated factors determining illness perception. We aimed to assess illness perception and to identify psychological, clinical and sociodemographic factors that might influence illness perception in SLE. Methods The study involved 80 patients with SLE (87.5% women, mean age 41.56 years). The Brief Illness Perception Questionnaire, State Trait Anxiety Inventory, Beck Depression Inventory, Pittsburgh Sleep Quality Index, Visual Analogue Scale-Pain and Fatigue Severity Scale were used. Clinical and sociodemographic data were collected via structured interview and medical files review. Results Illness perception was significantly positively correlated with anxiety, depression, sleep quality, fatigue and pain while it was not related to age, education, steroid treatment, disease duration and activity (SLEDAI) or organ damage (SLICC/ACR). Regression analysis revealed that state anxiety and depression explained 43% of illness perception variance. Cluster analysis identified three patient groups among which the middle-aged group had the most negative illness perception, the highest levels of anxiety, depression, pain and fatigue, and the poorest sleep quality. Conclusions The study has proved a significant relationship between negative illness perception and anxiety and depression. Patients reporting fatigue, poor sleep and pain might have special needs in terms of psychological intervention focused on negative illness perception and distress symptoms. Multidisciplinary care in managing SLE seems to be of great importance.

Predictors of poor sleep quality in patients with systemic lupus erythematosus

Sleep problems are common in patients with systemic lupus erythematosus (SLE). This study aimed to examine the following: (1) predictors of sleep quality and (2) fluctuations in sleep quality in patients with SLE. Patients with SLE were recruited from three rheumatology centers in Japan. We collected demographic and clinical data and data on sleep quality as measured by the Pittsburgh Sleep Quality Index (PSQI), the Medical Outcome Study Short Form-12, and the Lupus Patient Reported Outcome Tool (LupusPRO). Fluctuations in sleep quality were examined by administering the PSQI a second time after a 2-week interval. We used multiple linear regression analysis to predict sleep quality. Of 205 patients who completed the survey, 62.9% showed poor sleep quality. The largest fluctuation in sleep quality was for "waking in the middle of the night or early morning." "LupusPRO pain/vitality" was a major predictor of poor sleep. The other significant predictors were mostly LupusPRO subscales and clinical variables and SF-12 subscales were mostly non-predictive. The majority of the participants had poor sleep quality. A lupus-specific QoL scale is important for understanding poor sleep quality in SLE patients. Symptom management appeared to play a key role in improving sleep quality.

The impact of drugs for multiple sclerosis on sleep

Although there is a growing literature on the presence of sleep disorders in multiple sclerosis (MS), few studies have specifically addressed the impact of drugs on sleep of these patients. Moreover, even when sleep is considered, quantitative assessment by standardized questionnaires or polysomnography is lacking. The studies that have been done highlight that interferon-beta and some symptomatic medications may affect sleep, thus contributing to fatigue, depression, and poor quality of life; conversely, natalizumab and cannabinoids may improve sleep. Common limitations of the literature reviewed here are small sample size, selection bias, and often a lack of objective outcome measures. Clinicians need to remember to ask about sleep in all MS patients and intervene when appropriate. A systematic approach that takes sleep into account is recommended to enhance recognition and appropriate management of sleep disruption, including disorders related to medication. Consideration of the impact on sleep should also be part of the design of trials of new therapies.

Poor sleep quality in patients with multiple sclerosis: gender differences

OBJECTIVES

Most of the psychological and physical factors associated with poor sleep quality in patients with multiple sclerosis (MS) have a different prevalence in women and men, but whether or not these factors contribute differently to sleep quality in women and men with MS remains unclear. The aim of this study was to identify possible gender differences in factors related to poor sleep quality in MS patients.

MATERIAL AND METHODS

We collected data from 153 patients with MS. Patients filled out the Pittsburgh Sleep Quality Index (PSQI), the Hospital Anxiety and Depression Scale, and one item of the Short Form-36 regarding pain.

RESULTS

The best model of predictors of poor sleep quality consisting of gender, depression, anxiety, pain, and the interaction between gender and pain showed that the only variable interacting with gender, which was significantly associated with poor sleep quality was pain (odds ratio [OR] for interaction of pain with male gender was 15.4, 95% CI: 2.4; 39.5). Separate models for men and women consisting of pain, depression, anxiety, after adjustment for age, disease duration, and disability showed that pain was the only variable associated with poor sleep quality in men (OR = 12.7, 95% CI: 1.9; 29.6), whereas depression (OR = 4.1, 95% CI: 1.3; 13.2) and anxiety (OR = 6.8, 95% CI: 2.4; 19.1) were in women.

CONCLUSIONS

Factors contributing to poor sleep quality in MS patients differ by gender. Depression and anxiety are associated with poor sleep quality in women, whereas pain is in men. This highlights the need to apply gender-specific approaches to the treatment of sleep disorders.

Insomnia symptoms, perceived stress and coping strategies in patients with systemic lupus erythematosus

Objective

The aim of this study is to evaluate perceived stress and coping strategies in individuals with systemic lupus erythematosus (SLE) according to the presence of insomnia symptoms, using a set of variables that include anxiety and depressive symptoms evaluation.

Methods

Ninety SLE women were evaluated in a cross-sectional study using the Perceived Stress Scale (PSS), Brief COPE, Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Beck Depression Inventory (BDI) and Self-rating Anxiety Scale (SAS).

Results

Individuals with insomnia symptoms ( n = 57, 66%) presented higher PSS ( p < 0.001), PSQI ( p < 0.0001), BDI, ( p < 0.0001) scores and showed less-effective coping strategies such as the use of behavioral disengagement ( p = 0.04), self-blame ( p = 0.02) and emotional-focused coping ( p = 0.001). In a multi-regression model ISI was the independent determinant of high PSS and of behavioral disengagement; PSQI was the only determinant of self-blame ( p = 0.02) and emotional-focused coping.

Conclusions

SLE individuals with insomnia symptoms show high levels of perceived stress and more frequent use of disengaging and emotional-focused coping strategies. This body of evidence suggests that individuals with SLE and comorbid insomnia symptoms may therefore require additional interventions for insomnia.

The Incidence and Risk of Herpes Zoster in Patients With Sleep Disorders: A Population-Based Cohort Study

Lack of sleep can compromise the immune system, which may reactivate latent varicella-zoster virus. Studies on sleep disorders and the risk of herpes zoster (HZ) are scant.We conducted a population-based cohort study to evaluate the risk of HZ in patients with sleep disorders and potential risk factors for HZ development. We identified patients with sleep disorders without apnea from 2002 to 2005 by using the Taiwan Longitudinal Health Insurance Database. The patients without sleep disorders were randomly selected and frequency matched with patients with sleep disorders according to age, sex, and index year. We estimated the follow-up time in person-years for the patients from the entry date until HZ diagnosis, loss to follow-up, or the end of 2010. We used Cox proportional hazards regression models and a sensitivity analysis to estimate the risk of HZ while controlling for demographic characteristics and comorbidities. A total of 131,001 study participants (follow-up, 948,177 person-years; mean age, 51.2 ± 16.5 years; 62.2% women) were included in the study. Patients with sleep disorders exhibited a higher incidence of HZ compared with a comparison cohort when stratified by age, sex, and comorbidities. After adjustment for covariates, the sleep disorder cohort exhibited a 1.23-fold greater risk of HZ compared with the comparison cohort (95% confidence interval [CI] = 1.17-1.30). The incidence of HZ increased with age. Adults ages 65 years and older exhibited a 6.11-fold greater risk of HZ development compared with their younger counterparts (95% CI = 5.34-7.00). Cancers and autoimmune diseases were independent risk factors of HZ development. The patients with sleep disorders may carry an increased risk of developing HZ.

Depression in Autoimmune Diseases

Up to 50% of patients with autoimmune diseases show an impairment of health-related quality of life and exhibit depression-like symptoms. The immune system not only leads to inflammation in affected organs, but also mediates behavior abnormalities including fatigue and depression-like symptoms. This review focuses on the different pathways involved in the communication of the immune system with the neuronal network and the body's timing system. The latter is built up by a hierarchically organized expression of clock genes. As discussed here, the activation of the immune system interferes with high amplitude expression of clock genes, an effect which may play a pivotal role in depression-like behavior in autoimmune diseases.