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.

Exploring the Perspectives of Patients Living With Lupus: Retrospective Social Listening Study

BACKGROUND

Systemic lupus erythematosus (SLE) is a chronic autoimmune inflammatory disease affecting various organs with a wide range of clinical manifestations. Cutaneous lupus erythematosus (CLE) can manifest as a feature of SLE or an independent skin ailment. Health-related quality of life (HRQoL) is frequently compromised in individuals living with lupus. Understanding patients' perspectives when living with a disease is crucial for effectively meeting their unmet needs. Social listening is a promising new method that can provide insights into the experiences of patients living with their disease (lupus) and leverage these insights to inform drug development strategies for addressing their unmet needs.

OBJECTIVE

The objective of this study is to explore the experience of patients living with SLE and CLE, including their disease and treatment experiences, HRQoL, and unmet needs, as discussed in web-based social media platforms such as blogs and forums.

METHODS

A retrospective exploratory social listening study was conducted across 13 publicly available English-language social media platforms from October 2019 to January 2022. Data were processed using natural language processing and knowledge graph tagging technology to clean, format, anonymize, and annotate them algorithmically before feeding them to Pharos, a Semalytix proprietary data visualization and analysis platform, for further analysis. Pharos was used to generate descriptive data statistics, providing insights into the magnitude of individual patient experience variables, their differences in the magnitude of variables, and the associations between algorithmically tagged variables.

RESULTS

A total of 45,554 posts from 3834 individuals who were algorithmically identified as patients with lupus were included in this study. Among them, 1925 (authoring 5636 posts) and 106 (authoring 243 posts) patients were identified as having SLE and CLE, respectively. Patients frequently mentioned various symptoms in relation to SLE and CLE including pain, fatigue, and rashes; pain and fatigue were identified as the main drivers of HRQoL impairment. The most affected aspects of HRQoL included "mobility," "cognitive capabilities," "recreation and leisure," and "sleep and rest." Existing pharmacological interventions poorly managed the most burdensome symptoms of lupus. Conversely, nonpharmacological treatments, such as exercise and meditation, were frequently associated with HRQoL improvement.

CONCLUSIONS

Patients with lupus reported a complex interplay of symptoms and HRQoL aspects that negatively influenced one another. This study demonstrates that social listening is an effective method to gather insights into patients' experiences, preferences, and unmet needs, which can be considered during the drug development process to develop effective therapies and improve disease management.

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 Fatigue» (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.

Effects of a walking exercise programme on disease activity, sleep quality, and quality of life in systemic lupus erythematosus patients

AIM

This quasi-experimental study aimed to explore effects of walking exercise on disease activity, sleep quality, and quality of life among individuals with systemic lupus erythematosus.

METHODS

After recruiting people with systemic lupus erythematosus from a hospital in Taiwan between October 2020 and June 2021, participants were free to opt to receive one walking exercise programme plus standard care for 3 months or to membership of a control group receiving routine care. Primary outcomes included Systemic Lupus Erythematosus Disease Activity Score, the Pittsburgh Sleep Quality Scale, and a quality-of-life scale for patients with systemic lupus erythematosus, namely, LupusQoL. These scales were administered first, at baseline and later, within 1 week following completion of the intervention. Between-group effects were compared using generalized estimating equations with adjustment for baseline variables.

RESULTS

The experimental and control groups each included 40 participants. Multivariate analysis indicated that adding the walking exercise programme into routine care elevated sleep quality and LupusQoL (the latter in the subscales of physical health, planning, and intimate relationships), except for disease activity.

CONCLUSION

Findings of this study supported the addition of walking exercise as part of routine care for people with systemic lupus erythematosus and may be a reference in the provision of adequate care for these patients.

Quality of life, fatigue, sleep quality, and mental health in systemic lupus erythematosus patients with a high cardiovascular risk profile

Systemic lupus erythematosus (SLE) patients report worse health-related quality of life (HRQL), fatigue, anxiety, depression, and sleep quality, when compared to the general population and other chronic diseases. Furthermore, cardiometabolic diseases are highly prevalent in SLE and are also associated with these parameters. Thus, it is plausible to suggest that SLE patients with a high cardiovascular risk may report worse results for these parameters. The aim of the study is to describe HRQL, fatigue, anxiety and depression symptoms, and sleep quality in a sample of SLE patients with a high cardiovascular risk profile (i.e., BMI between 25 and 40 kg/m2 and/or dyslipidemia, hypertension, or diabetes). This was a cross-sectional study where patients were assessed for (i) demographic, anthropometric, and disease-related parameters, (ii) HRQL, (iii) fatigue, (iv) anxiety and depression symptoms, and (v) sleep quality. One-hundred patients completed the study; however, only 87 patients were assessed for sleep quality data. Patients averaged 41.7 ± 9 years, and most patients were classified as overweight/obese (87%). SF-36 scores for physical and mental components summary were 51.3 ± 9.6 and 54.2 ± 15.6, respectively, with "bodily pain" and "role emotional" presenting the lower scores. The total SLEQOL score was 105.1 ± 42.0, with lower scores reported for "self-image" and "mood." Fatigue score was 30.8 ± 8.9, and 78% and 93% reported severe symptoms of anxiety and depression, respectively. The average sleep effectiveness was 82.9 ± 6.6%. Sleep latency, total time in bed (TTiB), and total sleep time (TST) were 8.4 ± 8.9, 495.8 ± 79.7, and 409.7 ± 69.9 min, respectively. Patients reported an average of 17.8 ± 6.2 WE, with 4.5 ± 1.5 min duration and a WASO of 77.7 ± 36.6 min. Despite similar HRQL, fatigue, and sleep quality parameters to those reported by other SLE populations, SLE patients with a high cardiovascular risk had a higher prevalence of depression and anxiety. Understanding SLE patients' quality of life and psychological symptoms is of utmost importance to improve disease management. The findings of this study highlight the need for more intensive and global care regarding mental health when considering a high cardiovascular risk in SLE.

A randomized controlled trial of an intervention promoting physical activity and healthy eating recommendations in systemic lupus erythematosus: the protocol study "Living Well with Lupus"

There is a paucity of studies assessing multidisciplinary interventions focused on tackling physical inactivity/sedentary behavior and poor dietary habits in SLE. The Living well with Lupus (LWWL) is a randomized controlled trial to investigate whether a six-month lifestyle change intervention will improve cardiometabolic risk factors (primary outcome) among systemic lupus erythematosus (SLE) patients with low disease activity (SLEDAI score ≤ 4) and with high cardiovascular risk. As secondary goals, we will evaluate: (1) the intervention's safety, efficacy, and feasibility in promoting lifestyle changes, and (2) the effects of the intervention on secondary outcomes (i.e., clinical parameters, functional capacity, fatigue, psychological aspects, sleep quality and health-related quality of life). Patients will be randomly allocated to either a control (i.e., standard care) or a lifestyle intervention group using a simple randomization (1:1 ratio, blocks of 20). Mixed Model analyses will be conducted for comparing groups following an intention-to-treat approach. A per protocol analysis will also be conducted. This study has the potential to generate new, clinically relevant data able to refine the multidisciplinary management of SLE patients. Protocol version number: NCT04431167 (first version).

Circadian rhythm in systemic autoimmune conditions: Potential of chrono-immunology in clinical practice: A narrative review

The circadian rhythm (CR) is a fundamental biological process regulated by the Earth's rotation and solar cycles. It plays a critical role in various bodily functions, and its dysregulation can have systemic effects. These effects impact metabolism, redox homeostasis, cell cycle regulation, gut microbiota, cognition, and immune response. Immune mediators, cycle proteins, and hormones exhibit circadian oscillations, supporting optimal immune function and defence against pathogens. Sleep deprivation and disruptions challenge the regulatory mechanisms, making immune responses vulnerable. Altered CR pathways have been implicated in diseases such as diabetes, neurological conditions, and systemic autoimmune diseases (SADs). SADs involve abnormal immune responses to self-antigens, with genetic and environmental factors disrupting self-tolerance and contributing to conditions like Systemic Lupus Erythematosus, Rheumatoid Arthritis, and Inflammatory Myositis. Dysregulated CR may lead to increased production of pro-inflammatory cytokines, contributing to the systemic responses observed in SADs. Sleep disturbances significantly impact the quality of life of patients with SADs; however, they are often overlooked. The relationship between sleep and autoimmune conditions, whether causal or consequential to CR dysregulation, remains unclear. Chrono-immunology investigates the role of CR in immunity, offering potential for targeted therapies in autoimmune conditions. This paper provides an overview of the connections between sleep and autoimmune conditions, highlighting the importance of recognizing sleep disturbances in SADs and the need for further research into the complex relationship between the CR and autoimmune diseases.

Association of digital measures and self-reported fatigue: a remote observational study in healthy participants and participants with chronic inflammatory rheumatic disease

Background

Fatigue is a subjective, complex and multi-faceted phenomenon, commonly experienced as tiredness. However, pathological fatigue is a major debilitating symptom associated with overwhelming feelings of physical and mental exhaustion. It is a well-recognized manifestation in chronic inflammatory rheumatic diseases, such as Sjögren's Syndrome and Systemic Lupus Erythematosus and an important predictor of patient's health-related quality of life (HRQoL). Patient reported outcome questions are the key instruments to assess fatigue. To date, there is no consensus about reliable quantitative assessments of fatigue.

Method

Observational data for a period of one month were collected from 296 participants in the United States. Data comprised continuous multimodal digital data from Fitbit, including heart rate, physical activity and sleep features, and app-based daily and weekly questions covering various HRQoL factors including pain, mood, general physical activity and fatigue. Descriptive statistics and hierarchical clustering of digital data were used to describe behavioural phenotypes. Gradient boosting classifiers were trained to classify participant-reported weekly fatigue and daily tiredness from multi-sensor and other participant-reported data, and extract a set of key predictive features.

Results

Cluster analysis of Fitbit parameters highlighted multiple digital phenotypes, including sleep-affected, fatigued and healthy phenotypes. Features from participant-reported data and Fitbit data both contributed as key predictive features of weekly physical and mental fatigue and daily tiredness. Participant answers to pain and depressed mood-related daily questions contributed the most as top features for predicting physical and mental fatigue, respectively. To classify daily tiredness, participant answers to questions on pain, mood and ability to perform daily activities contributed the most. Features related to daily resting heart rate and step counts and bouts were overall the most important Fitbit features for the classification models.

Conclusion

These results demonstrate that multimodal digital data can be used to quantitatively and more frequently augment pathological and non-pathological participant-reported fatigue.

Association of Sleep Deprivation and the Risk of Developing Systemic Lupus Erythematosus Among Women

OBJECTIVE

Sleep deprivation has been associated with risk of autoimmune diseases. Using the Nurses' Health Study (NHS) (1986-2016) and NHSII (1989-2017) cohorts, we aimed in the present study to investigate whether sleep deprivation was associated with risk of developing systemic lupus erythematosus (SLE).

METHODS

Average sleep duration in a 24-hour period was reported in the NHS (1986-2014) and NHSII (1989-2009). Lifestyle, exposure, and medical information was collected on biennial questionnaires. Adjusted Cox regression analyses modeled associations between cumulative average sleep duration (categorical variables) and incident SLE. Interactions between sleep duration and shiftwork, bodily pain (using the Short Form 36 [SF-36] questionnaire), and depression were examined.

RESULTS

We included 186,072 women with 187 incident SLE cases during 4,246,094 person-years of follow-up. Chronic low sleep duration (≤5 hours/night versus reference >7-8 hours) was associated with increased SLE risk (adjusted hazard ratio [HRadj ] 2.47 [95% confidence interval (95% CI) 1.29, 4.75]), which persisted after the analysis was lagged (4 years; HRadj 3.14 [95% CI 1.57, 6.29]) and adjusted for shiftwork, bodily pain, and depression (HRadj 2.13 [95% CI 1.11, 4.10]). We detected additive interactions between low sleep duration and high bodily pain (SF-36 score <75) with an attributable proportion (AP) of 64% (95% CI 40%, 87%) and an HR for SLE of 2.97 (95% CI 1.86, 4.75) for those with both risk factors compared to those with neither. Similarly, there was an interaction between low sleep duration and depression, with an AP of 68% (95% CI 49%, 88%) and an HR for SLE of 2.82 (95% CI 1.64, 4.85).

CONCLUSION

Chronic low sleep duration was associated with higher SLE risk, with stronger effects among those with bodily pain and depression, highlighting the potential role of adequate sleep in disease prevention.

SVM-Based Model Combining Patients' Reported Outcomes and Lymphocyte Phenotypes of Depression in Systemic Lupus Erythematosus

BACKGROUND

The incidence of depression in patients with systemic lupus erythematosus (SLE) is high and leads to a lower quality of life than that in undepressed SLE patients and healthy individuals. The causes of SLE depression are still unclear.

METHODS

A total of 94 SLE patients were involved in this study. A series of questionnaires (Hospital Depression Scale, Social Support Rate Scale and so on) were applied. Flow cytometry was used to test the different stages and types of T cells and B cells in peripheral blood mononuclear cells. Univariate and multivariate analyses were conducted to explore the key contributors to depression in SLE. Support Vector Machine (SVM) learning was applied to form the prediction model.

RESULTS

Depressed SLE patients showed lower objective support, severer fatigue, worse sleep quality and higher percentages of ASC%PBMC, ASC%CD19+, MAIT, TEM%Th, TEMRA%Th, CD45RA+CD27-Th, TEMRA%CD8 than non-depressed patients. A learning-based SVM model combining objective and patient-reported variables showed that fatigue, objective support, ASC%CD19+, TEM%Th and TEMRA%CD8 were the main contributing factors to depression in SLE. With the SVM model, the weight of TEM%Th was 0.17, which is the highest among objective variables, and the weight of fatigue was 0.137, which was the highest among variables of patients' reported outcomes.

CONCLUSIONS

Both patient-reported factors and immunological factors could be involved in the occurrence and development of depression in SLE. Scientists can explore the mechanism of depression in SLE or other psychological diseases from the above perspective.

Systemic Lupus Erythematous and Obstructive Sleep Apnea: A Possible Association

Marked fatigue is common in patients with systemic lupus erythematosus (SLE). This study aimed to assess the association of sleep disorders, including obstructive sleep apnea (OSA), with SLE. Forty-two consecutive patients with SLE and 20 healthy controls were recruited and underwent a one-night ambulatory sleep examination. They completed questionnaires, including the Pittsburgh Sleep Quality Index (PSQI) and Functional Assessment of Chronic Illness Therapy (FACIT). SLE disease activity and damage were assessed by the SLE Disease Activity Index 2000 (SLEDAI-2K) and the Systemic Lupus International Collaborating Clinics/American College of Rheumatology (SLICC/ACR) damage index (SDI). A significantly increased apnea/hypopnea index was noted in the SLE group compared to healthy controls (p = 0.004). SLE patients had higher rates of moderate-to-severe OSA (p = 0.04), PSQI (p = 0.001), and FACIT scores (p = 0.0008). Multivariate analysis revealed that the SDI was associated with OSA (p = 0.03). There was a positive association between SLEDAI-2K and moderate-to-severe OSA (p = 0.03). Patients with SLE had an increased prevalence of OSA and poorer quality of sleep compared to healthy controls. Our findings suggest that active disease and accumulated damage may be associated with OSA. These findings highlight the importance of identifying the presence of OSA in patients with SLE.

Sleep impairments and quality of life in Thai adolescents with systemic lupus erythematosus

PURPOSE

Adolescents with systemic lupus erythematosus (SLE) are susceptible to sleep impairments. We aimed to determine the prevalence and factors related to sleep impairments, and the associations of sleep impairments with health-related quality of life (HRQOL) in Thai adolescents with SLE.

METHODS

Pittsburgh Sleep Quality Index (PSQI), Patient Health Questionnaire for Adolescents (PHQA), and Pediatric Quality of Life Inventory™ 4.0 Core Scales were administered to 57 participants with SLE aged 13-18 years to evaluate sleep, depression, and HRQOL, respectively. Participants were divided into "good sleep" (PSQI scores <5) and "poor sleep" groups (PSQI scores ≥5). Participants with body mass index (BMI) >23 kg/m² were classified into the high BMI group.

FINDINGS

Eighteen participants (31.6%) were in the poor sleep group. High BMI and PHQA scores were associated with sleep impairments with the odds ratio of 8.00 (95% CI 1.50-42.64; p = 0.02), and 1.25 (95% CI 1.01-1.54; p = 0.04), respectively. In terms of HRQOL, adolescents with SLE had the highest scores in social functioning and the lowest scores in school functioning. Good sleepers had better scores than poor sleepers across all sub-categories except for social functioning, and the difference was significant in emotional functioning (90% (IQR 75-100) vs. 70% (IQR 55-85); p = 0.03).

CONCLUSIONS

A substantial number of adolescents with SLE had sleep impairments, which decreased HRQOL, particularly in emotional functioning. Sleep impairments were associated with obesity and depression.

IMPLICATIONS

Proactive management in addressing weight, mood, and sleep problems should be included in the multidisciplinary care of adolescents with SLE to improve their health and well-being.

Stress, mindfulness, and systemic lupus erythematosus: An overview and directions for future research

Although the pathogenesis of autoimmunity is not fully understood, it is thought to involve genetic, hormonal, immunologic, and environmental factors. Stress has been evaluated as a potential trigger for autoimmunity and disease flares in patients with systemic lupus erythematosus (SLE). The physiologic changes that occur with stress involve numerous catecholamines, hormones, and cytokines that communicate intricately with the immune system. There is some evidence that these systems may be dysregulated in patients with autoimmune disease. Mindfulness-based techniques are practices aimed at mitigating stress response and have been shown to improve quality of life in general population. This review will discuss pathophysiology of chronic stress as it relates to SLE, evidence behind mindfulness-based practices in these patients, and directions for future research.

Causal Relationship Between Sleep Traits and Risk of Systemic Lupus Erythematosus: A Two-Sample Mendelian Randomization Study

A correlation between sleep and systemic lupus erythematosus (SLE) has been observed in a number of prior investigations. However, little is known regarding the potential causative relationship between them. In this study, we selected genetic instruments for sleep traits from pooled data from published genome-wide association studies (GWAS). Independent genetic variants associated with six sleep-related traits (chronotype, sleep duration, short sleep duration, long sleep duration, insomnia, and daytime sleepiness) were selected as instrumental variables. A two-sample Mendelian randomization (TSMR) study was first conducted to assess the causal relationship between sleep traits and SLE (7219 cases versus 15,991 controls). The reverse MR analysis was then used to infer the causal relationship between SLE and sleep traits. Inverse variance weighted (IVW), MR Egger, Weighted median, and Weighted mode were applied to perform the primary MR analysis. MR Egger regression and the Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) test were used to detect horizontal pleiotropy, and Cochran’s Q was used to detect heterogeneity. In studies of the effect of sleep traits on SLE risk, the IVW method demonstrated no causal relationship between chronotype, sleep duration, short sleep duration, long sleep duration, insomnia, daytime sleepiness and SLE risk. The remaining three methods agreed with the results of IVW. In studies of the effect of SLE on the risk of sleep traits, neither IVW, MR Egger, Weighted median, nor Weighted mode methods provided evidence of a causal relationship between SLE and the risk of sleep traits. Overall, our study found no evidence of a bidirectional causal relationship between genetically predicted sleep traits and SLE.

Pre-Clinical Autoimmunity in Lupus Relatives: Self-Reported Questionnaires and Immune Dysregulation Distinguish Relatives Who Develop Incomplete or Classified Lupus From Clinically Unaffected Relatives and Unaffected, Unrelated Individuals

Systemic lupus erythematosus (SLE) is propelled by pathogenic autoantibody (AutoAb) and immune pathway dysregulation. Identifying populations at risk of reaching classified SLE is essential to curtail inflammatory damage. Lupus blood relatives (Rel) have an increased risk of developing SLE. We tested factors to identify Rel at risk of developing incomplete lupus (ILE) or classified SLE vs. clinically unaffected Rel and healthy controls (HC), drawing from two unique, well characterized lupus cohorts, the lupus autoimmunity in relatives (LAUREL) follow-up cohort, consisting of Rel meeting &lt;4 ACR criteria at baseline, and the Lupus Family Registry and Repository (LFRR), made up of SLE patients, lupus Rel, and HC. Medical record review determined ACR SLE classification criteria; study participants completed the SLE portion of the connective tissue disease questionnaire (SLE-CSQ), type 2 symptom questions, and provided samples for assessment of serum SLE-associated AutoAb specificities and 52 plasma immune mediators. Elevated SLE-CSQ scores were associated with type 2 symptoms, ACR scores, and serology in both cohorts. Fatigue at BL was associated with transition to classified SLE in the LAUREL cohort (p≤0.01). Increased levels of BLyS and decreased levels of IL-10 were associated with type 2 symptoms (p&lt;0.05). SLE-CSQ scores, ACR scores, and accumulated AutoAb specificities correlated with levels of multiple inflammatory immune mediators (p&lt;0.05), including BLyS, IL-2Rα, stem cell factor (SCF), soluble TNF receptors, and Th-1 type mediators and chemokines. Transition to SLE was associated with increased levels of SCF (p&lt;0.05). ILE Rel also had increased levels of TNF-α and IFN-γ, offset by increased levels of regulatory IL-10 and TGF-β (p&lt;0.05). Clinically unaffected Rel (vs. HC) had higher SLE-CSQ scores (p&lt;0.001), increased serology (p&lt;0.05), and increased inflammatory mediator levels, offset by increased IL-10 and TGF-β (p&lt;0.01). These findings suggest that Rel at highest risk of transitioning to classified SLE have increased inflammation coupled with decreased regulatory mediators. In contrast, clinically unaffected Rel and Rel with ILE demonstrate increased inflammation offset with increased immune regulation, intimating a window of opportunity for early intervention and enrollment in prevention trials.

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.

Relation Among Anxiety, Depression, Sleep Quality and Health-Related Quality of Life Among Patients with Systemic Lupus Erythematosus: Path Analysis

Purpose

This study aimed to examine the relationship between anxiety, depression, sleep quality and health-related quality of life among systemic lupus erythematosus (SLE) patients in China.

Patients and Methods

After ethical approval and obtaining participants' informed consent, a cross-sectional study was conducted in The First Affiliated Hospital of Anhui Medical University between October 1, 2021 and January 30, 2022. The data comprised demographic information, number of SLE symptoms, Hospital Anxiety and Depression Scale (HADS), Pittsburgh Sleep Quality Index (PSQI) and Systemic Lupus Erythematosus-Specific Quality of Life Questionnaire (SLEQoL). We performed descriptive statistics, Spearman or Pearson correlations, and multiple linear regression. And Path analysis was performed to examine direct and indirect associations between these variables and health-related quality of life.

Results

A total of 580 patients were recruited and 513 met our target criteria. Our final model fitted the data well: goodness-of-fit index (GFI) =0.996; adjusted goodness-of-fit index (AGFI) =0.974; comparative fit index (CFI) =0.998; root mean square error of approximation (RMSEA) =0.043. This model explained 57.3% of the variance on health-related quality of life (HRQoL) in patients with SLE and all the hypothesized paths reached significance (P<0.05). Anxiety, depression, sleep quality, income/family, and number of SLE symptoms were related to health-related quality of life, and anxiety had the most influence on HRQoL (β=0.561).

Conclusion

The study model helps to explain the relation among anxiety, depression, sleep quality and health-related quality of life in patients with SLE. It also suggests that health care professionals should be aware of factors such as anxiety, sleep quality, number of SLE symptoms, and depression in their care for HRQoL of SLE patients.

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.

Fatigue in inflammatory rheumatic diseases: current knowledge and areas for future research

Fatigue is a complex phenomenon and an important health concern for many people with chronic inflammatory rheumatic diseases, such as rheumatoid arthritis, psoriatic arthritis, primary Sjögren syndrome and systemic lupus erythematosus. Although some clinical trials have shown the benefits of cognitive behavioural therapy in fatigue management, the effect of this approach is relatively modest, and no curative treatment has been identified. The pathogenesis of fatigue remains unclear. Despite many challenges and limitations, a growing body of research points to roles for the immune system, the central and autonomic nervous systems and the neuroendocrine system in the induction and maintenance of fatigue in chronic diseases. New insights indicate that sleep, genetic susceptibility, metabolic disturbances and other biological and physiological mechanisms contribute to fatigue. Furthermore, understanding of the relationships between psychosocial factors and fatigue is increasing. However, the interrelationships between these diverse mechanisms and fatigue remain poorly defined. In this Review, we outline various biological, physiological and psychosocial determinants of fatigue in inflammatory rheumatic diseases, and propose mechanistic and conceptual models of fatigue to summarize current understanding, stimulate debate and develop further research ideas.

Central sensitisation in primary Sjögren Syndrome and its effect on sleep quality

OBJECTIVE

The aim of the present study is to evaluate the presence and frequency of central sensitisation (CS) in primary Sjögren Syndrome (pSS) and to determine the effect of CS on sleep quality.

MATERIALS AND METHODS

In this cross-sectional study, 50 patients diagnosed with pSS between the ages of 18 and 75 were included. The healthy control group was composed of 43 healthcare workers. Each participant underwent a physical examination, and demographic data and the medications they used were recorded. Central sensitisation inventory and Pittsburgh Sleep Quality Index questionnaires were filled in to garner data on CS and sleep quality, respectively, from all participants.

RESULTS

While central sensitisation inventory  >40 was detected in 74% of pSS patients, it was 25.6% in healthy controls, and there is a statistically significant difference between the groups (p < .05). A correlation analysis of the central sensitisation inventory and Pittsburgh Sleep Quality Index values of all participants revealed a statistically significant correlation between all parameters other than the duration of sleep (p < .05).

CONCLUSIONS

CS was found to have a negative effect on sleep quality in patients with pSS. We suggest that the cause of widespread pain seen in patients with pSS as the possible development of CS should be considered.

Fatigue in Systemic Lupus Erythematosus: An Update on Its Impact, Determinants and Therapeutic Management

Fatigue is a complex and multifactorial phenomenon which is often neglected by clinicians. The aim of this review was to analyze the impact, determinants and management of fatigue in patients with Systemic Lupus Erythematosus (SLE). Fatigue is one of the most prevalent symptoms in SLE, reported by 67% to 90% of patients. It is also described as the most bothersome symptom, considering that it may impair key aspects of health-related quality of life, while also leading to employment disability. It is a multifactorial phenomenon involving psychological factors, pain, lifestyle factors such as reduced physical activity, whereas the contribution of disease activity remains controversial. The management of fatigue in patients with SLE should rely upon a person-centered approach, with targeted interventions. Some pharmacological treatments used to control disease activity have demonstrated beneficial effects upon fatigue and non-pharmacological therapies such as psychological interventions, pain reduction and lifestyle changes, and each of these should be incorporated into fatigue management in SLE.

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.

A meta-analysis on sleep quality in inflammatory bowel disease

Evidence of poor sleep quality in inflammatory bowel disease (IBD, i.e., Crohn's disease and ulcerative colitis) has been reported but never systematically reviewed or meta-analysed. We conducted a systematic review and meta-analysis of pairwise comparisons that included 1) IBD patients/controls, 2) Crohn's disease/ulcerative colitis, 3) active/inactive IBD on standardised measures of sleep quality. PubMed, Medline, PsycINFO, Scopus, and CINAHL were searched up to March 2021. Forty-two studies met the inclusion criteria. Results showed poorer subjective sleep quality in IBD patients than in controls, with moderate effect sizes (g = .49, [95% CI = .32 - .66], p < .001). No differences within IBD subtypes were found (g = -.07, [95% CI = -.17-.05], p = .208). Individuals with an active IBD reported poorer sleep quality than those in remission, with a large effect size (g = .66, [95% CI = .35 - .98], p < .001). Results on objectively recorded sleep were mixed, with no clear evidence of objective sleep impairments in individuals with IBD. Results support the view of subjective poor sleep quality as a relevant comorbidity in IBD. As a potential factor affecting immune and inflammatory responses as well as patients' quality of life, sleep quality should be taken into account in the treatment of IBD.

Association between depression and sleep quality in patients with systemic lupus erythematosus: a systematic review and meta-analysis

Background

Currently, there is no consistent understanding of the relationship between depression and sleep quality in patients with systemic lupus erythematosus (SLE). This study aimed to explore the correlation between depression and sleep quality in SLE patients.

Methods

Five English (PubMed, Web of Science, EMBASE, Cochrane Library, and CINAHL) databases were systematically searched from inception to January 12, 2021. Two authors independently screened publications and extracted data according to set inclusion and exclusion criteria. Statistical analyses were performed with STATA 16.0. Data were pooled using a random-effects model.

Results

A total of 9 identified studies matched the inclusion criteria, reporting on 514 patients with SLE in the analysis. A moderate correlation of depression with sleep quality was found (pooled r = 0.580 [0.473, 0.670]). Compared to good sleepers, patients with SLE and poor sleep quality had higher levels of depression (standardized mean difference =  − 1.28 [− 1.87, − 0.69]). Depression was associated with subjective sleep quality (r = 0.332 [0.009, 0.592]), sleep latency (r = 0.412 [0.101, 0.649]), sleep disturbances (r = 0.405 [0.094, 0.645]), daytime dysfunction (r = 0.503 [0.214, 0.711]), the four dimensions of Pittsburgh Sleep Quality Index (PSQI), while no significant correlation was found in the other three PSQI dimensions.

Conclusion

Depression had a moderate correlation with sleep quality in patients with SLE. Patients with poor sleep quality tended to have higher level of depression than that of good sleepers. Awareness of the correlation may help rheumatology physicians and nurses to assess and prevent depression and improve sleep quality in patients with SLE.

Fatigue in patients with systemic lupus erythematosus and neuropsychiatric symptoms is associated with anxiety and depression rather than inflammatory disease activity

INTRODUCTION

We aimed to investigate risk factors for fatigue in patients with systemic lupus erythematosus (SLE) and neuropsychiatric symptoms in order to identify potential interventional strategies.

METHODS

Patients visiting the neuropsychiatric SLE (NPSLE) clinic of the Leiden University Medical Center between 2007-2019 were included. In a multidisciplinary consensus meeting, SLE patients were classified as having neuropsychiatric symptoms of inflammatory origin (inflammatory phenotype) or other origin (non-inflammatory phenotype). Fatigue was assessed with the SF-36 vitality domain (VT) since 2007 and the multidimensional fatigue inventory (MFI) and visual analogue scale (VAS) since 2011. Patients with a score on the SF-36 VT ≥1 standard deviation (SD) away from the mean of age-related controls of the general population were classified as fatigued; patients ≥2 SD away were classified as extremely fatigued. Disease activity was measured using the SLE disease activity index-2000. The influence of the presence of an inflammatory phenotype, disease activity and symptoms of depression and anxiety as measured by the hospital anxiety and depression scale (HADS) was analyzed using multiple regression analyses corrected for age, sex and education.

RESULTS

348 out of 371 eligible patients filled in questionnaires and were included in this study . The majority was female (87%) and the mean age was 43 ± 14 years. 72 patients (21%) had neuropsychiatric symptoms of an inflammatory origin. Fatigue was present in 78% of all patients and extreme fatigue was present in 50% of patients with an inflammatory phenotype vs 46% in the non-inflammatory phenotype. Fatigue was similar in patients with an inflammatory phenotype compared to patients with a non-inflammatory phenotype on the SF-36 VT (β: 0.8 (95% CI -4.8; 6.1) and there was less fatigue in patients with an inflammatory phenotype on the MFI and VAS (β: -3.7 (95% CI: -6.9; -0.5) and β: -1.0 (95% CI -1.6; -0.3)). There was no association between disease activity and fatigue, but symptoms of anxiety and depression (HADS) associated strongly with all fatigue measurements.

CONCLUSION

This study suggests that intervention strategies to target fatigue in (NP)SLE patients may need to focus on symptoms of anxiety and depression rather than immunosuppressive treatment.

Neurologic Manifestations of Systemic Disease: Sleep Disorders

Purpose of review

Sleep is intimately involved in overall health and wellbeing. We provide a comprehensive report on the interplay between systemic diseases and sleep to optimize the outcomes of systemic disorders.

Recent findings

Spanning the categories of endocrinologic disorders, metabolic/toxic disturbances, renal, cardiovascular, pulmonary, gastrointestinal, infectious diseases, autoimmune disorders, malignancy, and critical illness, the review highlights the prevalent coexisting pathology of sleep across the spectrum of systemic disorders. Although it is rare that treating a sleep symptom can cure disease, attention to sleep may improve quality of life and may mitigate or improve the underlying disorder. Recent controversies in assessing the cardiovascular relationship with sleep have called into question some of the benefits of treating comorbid sleep disorders, thereby highlighting the need for an ongoing rigorous investigation into how sleep interplays with systemic diseases.

Summary

Systemic diseases often have sleep manifestations and this report will help the clinician identify key risk factors linking sleep disorders to systemic diseases so as to optimize the overall care of the patient.

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.

Impact of sleep quality on clinical features of primary Sjögren's syndrome

BACKGROUND/AIMS

This study aimed to investigate the inf luence of poor sleep quality on clinical features of primary Sjögren's syndrome (pSS).

METHODS

Sleep quality was cross-sectionally assessed using the Pittsburgh Sleep Quality Index (PSQI), and demographic, clinical, and laboratory data were collected from 115 Korean patients with pSS. The patients completed questionnaires on the European League Against Rheumatism (EULAR) SS Patient Reported Index (ESSPRI), quality of life (EuroQOL five dimensions questionnaire [EQ-5D]), fatigue (fatigue severity score [FSS]), and depression (Beck Depression Inventory [BDI] II]). Symptoms and patient global assessment (PGA) were evaluated with a 100-mm visual analogue scale (VAS). The EULAR sicca score (ESS), ESSPRI, and EULAR SS Disease Activity Index (ESSDAI) were calculated at study enrollment.

RESULTS

Fifty-three patients (46.1%) had poor sleep quality and 32.4% of 71 patients without depression were poor sleepers. Poor sleepers had a significantly lower EQ-5D or ESSDAI and a significantly higher FSS, BDI-II, PGA, ESS, ESSPRI, or VAS scores for extra-glandular symptoms than good sleepers. Neutrophil and lymphocyte counts were significantly higher and immunoglobulin G levels tended to decrease in poor sleepers. Additionally, PSQI was negatively correlated with EQ-5D and ESSDAI and positively with ESS, FSS, BDI-II, PGA, VAS scores for their symptoms, and ESSPRI. Multivariate analysis revealed that poor sleep quality remained the independent determinants of the unsatisfactory symptom state (ESSPRI ≥ 5).

CONCLUSION

Our results showed that poor sleep quality could significantly affect the patient-oriented outcomes and physician-reported activity index of pSS patients through the various effects of sleep quality on the psychological or somatic symptoms and the immune system.

Pulmonary manifestations of systemic lupus erythematosus and Sjögren's syndrome

PURPOSE OF REVIEW

Systemic lupus erythematosus (SLE) and Sjögren syndrome are chronic autoimmune inflammatory disorders that can present with multiorgan involvement including the lungs. This review will focus on recent literature pertaining to the epidemiology, pathogenesis, clinical presentation and diagnosis and management of SLE and Sjögren syndrome-associated pulmonary conditions.

RECENT FINDINGS

Pulmonary manifestations of both disease entities have been well characterized and lung involvement can be observed during the course of the disease in most cases. Pulmonary manifestations of SLE and Sjögren syndrome can be classified based on anatomical site of involvement; and the large and small airways, lung parenchyma, lung vasculature, pleura and respiratory muscles can be involved. The pleura is most commonly involved in SLE, whereas the airways are most commonly involved in primary Sjögren's syndrome (pSS). Sleep disturbances have also been described in both entities.

SUMMARY

Although further research into treatment strategies for the pulmonary complications seen in SLE and pSS is needed, the clinician should be aware of the risk factors and clinical presentation of the various pulmonary complications in SLE and pSS in order to identify patients who should be screened and/or have modifications in treatment strategies to mitigate the morbidity and mortality associated with these complications.

Psychometric properties of fatigue severity scale in Chinese systemic lupus erythematosus patients

BACKGROUND

Fatigue is the most common symptom in Systemic Lupus Erythematosus (SLE) patients. Many fatigue instruments have been used in SLE, with Fatigue Severity Scale (FSS) mostly adopted. However, fatigue instruments haven't been tested in the Chinese SLE population. The aim of our study was to test the psychometric properties of FSS in Chinese SLE patients.

METHODS

A cross-sectional study was conducted. 201 patients diagnosed with SLE were enrolled in the study with convenience sampling. Fatigue score, depression score and vitality subscale score of SF-36 were collected. Floor and ceiling effects were tested. Factor analysis was conducted. Reliability and validity of FSS were also tested.

RESULTS

Floor (4.50%) and ceiling (4.00%) effects were minimal. One factor was extracted, explaining 61.80% of total variance. When item1 and item 2 were deleted, one factor explained 69.54% of variance, and Cronbach's Alpha increased from 0.92 to 0.93. Intraclass correlation coefficient (ICC) was 0.94. Fatigue correlated with both depression (r = 0.52, P < 0.01) and vitality (r = - 0.55, P < 0.01), indicating acceptable construct validity for original FSS. When item 1 and 2 were removed, the correlation coefficient between 7-item FSS and vitality increased (r = - 0.58, P < 0.01), while correlation coefficient between 7-item FSS and depression remained the same (r = 0.52, P < 0.01). Known-groups validity was verified by that patients with depression showed higher fatigue score both for 9-item (Z = -5.56, P < 0.001) and 7-item FSS (Z = -5.70, P < 0.001).

CONCLUSIONS

9-item FSS is a reliable instrument and can be used to assess fatigue problem in Chinese SLE patients, and 7-item FSS also demonstrated good psychometric properties in the same participants.

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.

Fatigue in systemic lupus: the role of disease activity and its correlates

OBJECTIVES

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that leads to a variety of negative health outcomes resulting from inflammation in various organ systems. Although treatment continues to advance, fatigue remains one of the most salient, poorly understood and addressed patient complaints. Understanding the mechanisms of fatigue can help guide the development of interventions to improve health outcomes. The aim of this research was to evaluate the contribution of six variables (disease activity, insomnia, depression, stress, pain and physical health) to fatigue in SLE without concomitant fibromyalgia (FM).

METHODS

A total of 116 ethnically diverse, primarily female participants (91%) with SLE, receiving care at university medical centers, completed assessments of disease activity and quality of life outcomes (FACIT-FT, Insomnia Severity Index, Perceived Stress Scale (PSS-4), Pain Inventory, Depression-PHQ-9, and LupusPRO-physical function). All patients met the American College of Rheumatology classification criteria for SLE and did not have a known diagnosis of FM. Multivariate linear and stepwise regression analyses were conducted with fatigue (FACIT-FT) as the dependent variable, and the above six variables as independent variables.

RESULTS

Mean (SD) age was 39.80 (13.87) years; 50% were African American, 21% Caucasian, 13% Hispanic, 9% Asian and 8% other. Mean (SD) FACIT-FT was 20.09 (12.76). Collectively, these six variables explained 57% of the variance in fatigue. In the multivariate model, depression, stress and pain were significantly and independently associated with fatigue, but not disease activity, sleep or physical health. Stress had the largest effect on fatigue (β 0.77, 95% CI 0.17-1.38, p = 0.01), followed by depression (β 0.66, 95% CI 0.21-1.10, p = 0.005). On stepwise regression analysis, only stress, depression and pain were retained in the model, and collectively explained 56% of the variance in fatigue. All three remained independent correlates of fatigue, with the largest contribution being stress (β 0.84, 95% CI 0.27-1.42, p = 0.005), followed by depression (β 0.79, 95% CI 0.44-1.14, p < 0.001) with fatigue.

CONCLUSION

Stress, depression and pain are the largest independent contributors to fatigue among patients with SLE, without concurrent FM. Disease activity, sleep and physical health were not associated with fatigue. The evaluation of stress, depression and pain needs to be incorporated during assessments and clinical trials of individuals with SLE, especially within fatigue. This stress-depression-fatigue model requires further validation in longitudinal studies and clinical trials. Significance and innovation: • Disease activity, sleep, pain, stress, depression, and physical health have been reported individually to be associated with fatigue in lupus. This analysis evaluated the role of each and all of these six variables collectively in fatigue among patients with SLE without a known diagnosis of FM. • Disease activity, sleep and physical health were not significantly related to fatigue, but depression, stress and pain were. • The results emphasize the need to evaluate and treat fatigue in individuals with SLE utilizing a biopsychosocial approach, particularly in the realm of clinical trials. Behavioral medicine interventions are shown to be most effective for the treatment of depression, stress and pain.

Sleep in Women with Chronic Pain and Autoimmune Conditions: A Narrative Review

Chronic pain and sleep disturbances are intricately intertwined. This narrative review provides comments on observations related to pain, stress-immunity, and sleep. Sleep evidence is reviewed from studies of select conditions involving pain (ie, functional somatic syndromes and autoimmune) that are predominant in women. Chronic pain and poor sleep encompass persistent stress-immune activation with systemic inflammation, cellular oxidative stress, and sick behavior indicators that increase morbidity and threaten quality of life. In painful conditions, sleep impairments are nearly ubiquitous, and exaggerated combined effects should not be underestimated or ignored, nor should crucial implications for clinical practice and research.

The role of stress in the mosaic of autoimmunity: An overlooked association

Stress is defined as the pscyophysiological reaction in which the steady state is disturbed or threatened. Stress is not always perceived as a negative response. Stress results when environmental demands exceed an individuals' adaptive capacities. Autoimmune diseases are heterogeneous group of chronic diseases which occur secondary to loss of self antigen tolerance. The etiopathogenesis of autoimmune disease is uncertain. Genetic factors as well as environmental factors appear to interplay, leading to a cascade of events resulting in disease onset. Stress has been postulated to play a role in disease onset in the genetically susceptible patients. During the stress response, catecholamines and glucocorticoids are released from locus coeruleus and adrenal gland. These biomolecules exert control over various immune cells in the innate and adaptive arms of the immune system, thereby altering the cytokine profile released. The increase of IL-4 promotes T-helper 2 (T_h2) cell differentiation, while the decrease in IL-12 and the increased IL-10 production reduce the number of T-helper 1 (T_h1) cells. The relationship between stress and autoimmune diseases is intricate. Stress has been shown to be associated with disease onset, and disease exacerbations in rheumatoid arthritis, systemic lupus erythematosus, inflammatory bowel disease, multiple sclerosis, Graves' disease as well as other autoimmune conditions. In certain conditions such as psoriasis, stress has been implicated in delaying lesion clearance upon the application of standard treatment regimes. Finally, psychological therapy and cognitive behavioral therapy aimed to reduce stress levels was shown to be effective in influencing better outcomes in many autoimmune diseases. The purpose of this paper is to closer inspect the clinical evidence regarding the role of stress on influencing the various aspects of disease entities.

Using Actigraphy and mHealth Systems for an Objective Analysis of Sleep Quality on Systemic Lupus Erythematosus Patients

Introduction: Although sleep alterations can be an important factor contributing to the clinical state of Systemic Lupus Erythematosus, there are no studies to adequately assess sleep quality in this type of disease.

Objectives: The aim of this work is to analyse the sleep quality of Systemic Lupus Erythematous (SLE) patients based on more objective information provided by actigraphy and mobile systems. The idea is to carry out a comprehensive study by analysing how environmental conditions and factors can affect sleep quality.

Methods: In traditional methods the information for assessing sleep quality is obtained through questionnaires. In this work, a novel method is proposed by combining these questionnaires that provide valuable but subjective information with actigraphy and a mobile system to collect more objective information about the patient and their environment. The method provides mechanisms to detect how sleep hygiene could be associated directly with the sleep quality of the subjects, in order to provide a custom intervention to SLE patients. Moreover, this alternative provides ease of use, and non-intrusive ICT (Information and Communication Technology) through a wristband and a mHealth system. The mHealth system has been developed for environmental conditions sensing. This consists of a mobile device with built-in sensors providing input data about the bedroom environment during sleep, and a set of services of the Environmental Monitoring System for properly managing the configuration, registration and fusion of those input data. In previous studies, this information has never been taken into account. However, the information could be relevant in the case of SLE patients. The sample is composed of 9 women with SLE and 11 matched controls with a mean age of 35.78 and 32.18, respectively. Demographic and clinical variables between SLE patients and healthy controls are compared using the Fisher exact test and the Mann-Whitney U test. Relationships between psychological variables, actigraphy measures, and variables related to environmental conditions are analysed with Spearman’s rank correlation coefficient.

Results: The SLE group showed poorer sleep quality, and more pain intensity, fatigue and depression than the healthy controls. Significant differences between SLE women and healthy controls in measures of actigraphy were not found. However, the fusion of the measures of the environmental conditions that were collected by the mobile system and actigraphy, has shown that light, and more specifically temperature have a direct relation with several measures of actigraphy which are related to sleep quality. It should be emphasize this result because usually the sleep problems are assessment through self-reported measures which had not revealed this association. Moreover, there are no previous studies that analyse these aspects in bedroom environments of SLE patients directly from objective measures.

Conclusions: The results indicate the need to complement the subjective evaluation of sleep with objective measures. The use of actigraphy in combination with a new mHealth system provides a complete assessment especially relevant to chronic conditions as SLE. Both systems incorporate this objective information directly from objective measures in a non-intrusive way. Moreover, the measures of bedroom environmental variables provide useful and relevant clinical information to assess what is happening daily and not occasionally. This could lead to more customized interventions and adapt the treatment to each individual.

Cumulative Burden of Glucocorticoid-related Adverse Events in Patients with Systemic Lupus Erythematosus: Findings from a 12-year Longitudinal Study

OBJECTIVE

The aim of this population-based study is to examine the adverse events (AE) associated with longitudinal systemic glucocorticoid (GC) use among an ethnic Chinese systemic lupus erythematosus (SLE) cohort.

METHODS

Our study subjects were patients with newly diagnosed SLE aged 18 and older who received at least 1 prescription of systemic GC between 2001 and 2012 from Taiwan's National Health Insurance Research Database (NHIRD). The earliest prescription date of systemic GC for each subject was defined as the index date. For each subject, we calculated the average prednisolone-equivalent dose and the medication possession ratio (MPR) of GC use every 90 days for each patient after the index date. Patients with a diagnosis of AE (defined by the International Classification of Diseases-9-Clinical Modification diagnosis code) during the followup were also identified from the NHIRD. Generalized estimating equations adjusted for propensity score were applied to examine the association between longitudinal GC use and risks of prespecified AE (musculoskeletal, gastrointestinal, ophthalmologic, infectious, cardiovascular, neuropsychiatric, metabolic, and dermatologic diseases).

RESULTS

We identified 11,288 patients with SLE (mean followup: 6.28 yrs). Higher doses and higher MPR of GC were associated with increased risk of osteonecrosis [adjusted OR (aOR) 2.87-9.09]. Similar results were found regarding the risk of osteoporosis (aOR 1.71-3.67), bacterial infection (aOR 2.12-3.89), Cushingoid syndrome (aOR 6.51-62.03), and sleep disorder (aOR 1.42-3.59).

CONCLUSION

To our knowledge, this is the first study to show that the dose and intensity of longitudinal use of GC were both associated with risk of AE among a nationwide Asian SLE cohort.

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.

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.

Role of Sleep Disturbance, Depression, Obesity, and Physical Inactivity in Fatigue in Rheumatoid Arthritis

OBJECTIVE

Fatigue is a major concern for individuals with rheumatoid arthritis (RA). However, in order to treat fatigue adequately, its sources need to be identified.

METHODS

Data were collected during a single home visit (number of participants = 158). All participants had physician-diagnosed RA. Assessments of self-reported sleep quality, depression, physical activity, RA disease activity, muscle strength, functional limitations, and body composition were made. Information on demographics, medications, and smoking was collected. The Fatigue Severity Inventory (FSI; measuring average fatigue over the past 7 days) was used as the primary outcome. Analyses were first conducted to evaluate bivariate relationships with fatigue. Correlations among risk factors were examined. Multivariate analyses identified independent predictors of fatigue.

RESULTS

The mean ± SD age was 59 ± 11 years, the mean ± SD disease duration was 21 ± 13 years, and 85% of subjects were female. The mean ± SD FSI rating was 3.8 ± 2.0 (range 0-10). In multivariate analyses, self-reported disease activity, poor sleep, depression, and obesity were independently associated with fatigue. Physical inactivity was correlated with poor sleep, depression, and obesity. Mediation analyses indicated that physical inactivity had an indirect association with fatigue, mediated by poor sleep, depression, and obesity.

CONCLUSION

This cross-sectional study suggests that fatigue may not be solely a result of RA disease activity, but may result from a constellation of factors that includes RA disease activity or pain, but also includes inactivity, depression, obesity, and poor sleep. The results suggest new avenues for interventions to improve fatigue in individuals with RA, such as increasing physical activity or addressing depression or obesity.

Patient-Reported Outcomes in Systemic Lupus Erythematosus

Successful management of complex conditions such as systemic lupus erythematosus (SLE) and comorbid conditions benefit from patient-reported outcomes (PRO). Measuring health-related quality of life with PROs provides SLE patients with an opportunity to participate in their treatment and to facilitate better communication with the multidisciplinary team involved in their care. Health outcomes research has produced well-validated instruments that can be used across diseases; others have been specifically developed for SLE. The use of generic and SLE-specific PROs depends on needs, including population monitoring, treatment decision making, clinical trials research, and for evaluating and comparing the effect of therapies.

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.

Immunomodulation by classical conditioning in NZB/W (F1) mice: Lifespan and diurnal variation

Systemic Lupus Eritematosus (SLE) is a systemic inflammatory disease often treated with the agent cyclophosphamide (CY), known by provoking important adverse reactions to the organism. Ader and Cohen have demonstrated an alternative way of administrating this agent based on pavlovian conditioning, in order to reduce the aggression caused by CY. Considering the influence of the temporal organization on learning and memory processes, the purpose of this study was to understand the temporal aspects involved in the conditioned immunomodulation. In a search for circadian modulation, we selected NZB/W (F1) female mice, a strain that spontaneously develop SLE. Divided into two major groups, the animals were submitted, in different phases of day, to a classical conditioning immunomodulation protocol, consisting in weekly parings of saccharin solution and CY injections. The success of the paradigm was evaluated by comparing lifespan among the groups. Simultaneously, it was monitored the water intake behavior, in order to correlate the stability of two rhythmic parameters, amplitude and spectral power density of the 24-h rhythm, with the progression of SLE. Our results indicate that mice could benefit from the conditioning task performed either in the light phase or in the dark phase of the LD cycle, as expressed by an increased lifespan. Concerning the rhythmic parameters, there was evidence of association between the rhythmic stability and the evolution of SLE, demonstrated by the maintenance of healthy levels of amplitude and spectral potency of the 24-h rhythm in animals exposed to the conditioning paradigm.

Sleep disturbances and inflammatory bowel disease

With an estimated 70 million Americans suffering, sleep disorders have become a global issue, and discovering their causes and consequences are the focus of many clinical research studies. Sleep is now also considered to be an important environmental and behavioral factor associated with the process of inflammation and the immune system. Increased sleepiness is considered part of the acute phase of response to tissue injury, and sleep loss activates inflammatory cytokines such as interleukin (IL)-1 and tumor necrosis factor (TNF)-α. Clinical studies in many immune-mediated diseases, such as systemic lupus erythematosus, rheumatoid arthritis, and ankylosing spondylitis, have revealed an association of sleep disturbances with disease activity. Recent research suggests that individuals with sleep abnormalities are also at greater risk of serious adverse health, economic consequences, and most importantly increased all-cause mortality. The importance of sleep in inflammatory bowel disease has recently gained attention with some published studies demonstrating the association of sleep disturbances with disease activity, subclinical inflammation, and risk of disease relapse. A comprehensive review of sleep physiology and its association with the immune system is provided here. Experimental and clinical studies exploring this relationship in inflammatory bowel disease are reviewed, and the clinical implications of this relationship and future directions for research are also discussed.

Sleep disorders in systemic lupus erythematosus. Does vitamin D play a role?

Objectives

Sleep disorders are common among patients with systemic lupus erythematosus (SLE) with unclear underlying mechanisms. We assessed the role of vitamin D in sleep quality of patients with SLE.

Methods

A retrospective study was conducted on women with SLE for whom the following data were available at the same time; sleep quality (Pittsburgh Sleep Quality Index (PSQI)), disease activity, cumulative disease damage, psychological state (Hospital Anxiety and Depression Scale (HADS)), and serum vitamin D level. Bivariate and regression analyses were computed to find contributors of sleep quality.

Results

In total, 63 women were studied. Serum vitamin D level was correlated with physical activity ( r = 0.310, p = 0.015), season of assessment ( r = −0.302, p = 0.016), the PSQI global score ( r = −0.262, p = 0.043), anxiety score ( r = −0.298, p = 0.021), and non-significantly with depression score ( r = −0.218, p = 0.094). Including all variables into a linear regression model, vitamin D level was independently associated with the global PSQI score (beta = −0.364, p = 0.042). Association of vitamin D level with psychological state disappeared after controlling for season of assessment (beta = −0.248, p = 0.154).

Conclusions

We found a role for vitamin D in sleep quality of SLE patients. Further studies are warranted to confirm these results and to find possible mechanisms of action.