Sleep problems in ankylosing spondylitis: Polysomnographic pattern and disease related variables

rTMS targeted to the secondary somatosensory cortex influences sleep in CRPS patients, as measured with the OURA ring

INTRODUCTION

Chronic pain associates with various sleep problems. Patients with complex regional pain syndrome (CRPS) often report impaired sleep, but objective measurements of sleep in CRPS patients are scarce. Neuromodulation with repetitive transcranial magnetic stimulation (rTMS) can alleviate pain and improve sleep. Secondary somatosensory cortex (S2) is a possible rTMS target for the treatment of chronic pain, but the effect of S2-targeted rTMS on sleep is unknown.

METHODS

This randomized, sham-controlled trial assessed the effect of S2-targeted rTMS on sleep in patients with CRPS. Patients (n = 31) received either S2-targeted rTMS (10 Hz) or sham stimulation for 3 weeks. The effect of treatment on sleep was assessed with validated questionnaires, with a sleep and pain diary, and with a consumer-grade sleep tracker, the Oura ring. In addition to an ordinary univariate analysis of the results, we conducted multivariate testing of the Oura data using linear discriminant analysis (LDA).

RESULTS

S2-targeted rTMS decreased sleep restlessness that significantly differed between the rTMS and sham stimulation patient groups (p = .028). In the multivariate analysis of the Oura data, LDA classification accuracy to separate the rTMS and sham groups exceeded 95% confidence level in four out of the seven tested models. In the subjective evaluation of sleep, the effect of rTMS and sham did not differ.

CONCLUSION

S2-targeted rTMS influenced sleep in patients with CRPS. Improved sleep may enhance CRPS symptom alleviation and be of clinical importance. A univariate analysis could separate the rTMS and sham treatments. The multivariate analysis revealed that including multiple sleep-related parameters can be beneficial when analyzing rTMS effects on sleep. As sleep is related both to pain and quality of life, and sleep rTMS can be directly affected by rTMS, objective monitoring of sleep in various future rTMS trials could be fruitful.

Prevalence of sleep disturbance in patients with ankylosing spondylitis: a systematic review and meta-analysis

BACKGROUND

Ankylosing Spondylitis (AS) patients face several challenges due to the nature of the disease and its physical and psychological complications. Sleep disorders are among the most important concerns. Sleep disorders can aggravate the signs and symptoms of the disease and ultimately reduce the quality of patients' lives. This study uses a systematic review and meta-analysis to pool the reported prevalence of sleep disorders among AS patients.

METHODS

To find related studies, the WoS, PubMed, ScienceDirect, Scopus, Embase, and Google Scholar databases were systematically searched without a lower time limit. Heterogeneity among the identified studies was checked using the I2 index, and the Begg and Mazumdar correlation test examined the existence of published bias. Comprehensive Meta-Analysis (v.2) software was adopted to analyze the data.

RESULTS

In the review of 18 studies with a sample size of 5,840, the overall pooled prevalence of sleep disorders among AS patients based on the random effects method was found to be 53% (95% CI: 44.9-61). The highest and lowest prevalence was in Egypt at 90% and Australia at 19.2%, respectively. Our meta-regression results show that with the increase in 'sample size' and 'year of publication', the overall prevalence of sleep disorders in patients with AS decreases (p < 0.05).

CONCLUSION

The results of the present study indicate a high and significant prevalence of sleep disorders among AS patients. Thus, health policymakers and healthcare providers must focus on timely diagnosis and effective educational and therapeutic interventions for the prevention and proper treatment of sleep disorders in this population of patients.

Sleep behaviour differs in women and men with psoriatic arthritis and axial spondyloarthritis with impact on quality of life and depressive symptoms

OBJECTIVES

Axial spondyloarthritis (axSpA) and psoriatic arthritis (PsA) may have a profound impact on sleep and health-related quality of life. The aim of this study was to assess sleep quality and quality of life and determine associated factors in patients treated with spondyloarthritides (SpA).

METHODS

Cross-sectional questionnaire-based assessment of sleep behaviour, quality of life, functional impairment and depression (Regensburg Insomnia Scale, WHO Quality of Life questionnaire, Funktionsfragebogen Hannover questionnaire, Beck Depression Inventory II, Patient health questionnaire 9) and retrospective medical chart analysis of a monocentric cohort of 330 patients with SpA (n=168 PsA and n=162 axSpA).

RESULTS

46.6% of patients with SpA demonstrated abnormal sleep behaviour. Linear regression models showed HLA-B27 positivity, Bath Ankylosing Spondylitis Disease Activity Index, depressive symptoms, functional capacity and disease duration to be predictive of insomnia symptoms in axSpA, respectively, depressive symptoms, female sex and Disease Activity Score 28 in patients with PsA. Patients with unrestful sleep had a significantly reduced health-related quality of life (p<0.001) as well as significantly more depressive symptoms (p<0.001). Satisfaction with health was rated significantly lower (p<0.001), indicating poor sleep as a burden on general well-being.In particular, female patients had a significantly worse sleep quality with a prolonged sleep latency (p=0.009), increased sleep disturbances (p=0.014) and unrestful sleep (p<0.001) as well as a reduced physical and mental health-related quality of life (p=0.015, p<0.001) and more depressive symptoms (p=0.015).

CONCLUSION

Despite treatment, many patients with SpA demonstrate abnormal sleep behaviour with symptoms of insomnia and a reduced quality of life with significant differences between male and female patients. An interdisciplinary and holistic approach may be needed to address unmet needs.

Prevalence of sleep disturbance and the association between poor disease control in people with ankylosing spondylitis within the Australian clinical setting (ASLEEP study): a real-world observational study using the OPAL dataset

Introduction

Sleep disturbance and fatigue are commonly reported in ankylosing spondylitis (AS) but specific prevalence and the relationship to disease control are unknown.

Method

This retrospective non-interventional observational study of data from the OPAL dataset included patients with AS (ICD code M45, M45.0 or M08.1), aged 18 to 95 years and had completed ≥ 1 sleep questionnaire between 1 January 2019 and 30 September 2020. The prevalence of insomnia and obstructive sleep apnoea were assessed using the Insomnia Severity Index (ISI) and Multivariate Apnoea Prediction Index (MAPI), respectively. Propensity score (PS) matching based on sex, age and symptom duration increased comparability between patients administered tumour necrosis factor inhibitors (TNFi) and interleukin 17A inhibitors (IL-17Ai).

Results

Four hundred ninety-five patients were included. The mean ISI total score in the overall population was 8.6 ± 6.2. Self-reported moderate or severe clinical insomnia was present in 16% and 3.2% of patients, respectively. The mean MAPI score was 0.4 ± 0.3, self-reported apnoea was identified in 31.5% of patients and the mean FACIT-Fatigue score was 36.1 ± 10.7. In the PS matched population, the only treatment-related difference was the mean MAPI score (IL-17Ai 0.4 ± 0.3 and TNFi 0.3 ± 0.2, p = 0.046). Those with poor disease control (BASDAI ≥ 4) were more likely (odds ratio [OR] 7.29, 95% CI 2.37 to 22.46, p = 0.001) to have a greater severity of insomnia symptoms than those with good disease control.

Conclusion

In this real-world AS cohort, poor disease control was associated with sleep disturbance. Little difference in sleep disturbance was observed between biologic TNFi and IL-17Ai treatment.

Key Points

• Sleep disturbance and fatigue are common in patients with ankylosing spondylitis. • In our real-world cohort, self-reported apnoea was reported in one-third of patients; and one in five patients reported moderate to severe insomnia. • Those with poor disease control were more likely to experience greater sleep disturbance than those with good disease control.

Quantifying and predicting the effect of anti-TNF therapy on axSpA-related fatigue: results from the BSRBR-AS registry and meta-analysis

OBJECTIVES

Effective management of axial spondyloarthritis (axSpA)-related fatigue is a major unmet clinical need. Anti-TNF therapy may reduce fatigue levels, although any effect has yet to be definitively quantified and predictors of any such improvements are unknown.

METHODS

The British Society of Rheumatology Register in Axial Spondyloarthritis (BSRBR-AS) prospectively recruited axSpA patients across the UK. Changes in fatigue levels (measured using the Chalder Fatigue Scale) >1 year were compared between those starting anti-TNF therapy at the time of recruitment and those not. Differences between treatment groups were adjusted using propensity score matching. Results were meta-analysed with the extant literature to calculate pooled estimates. Then, among those BSRBR-AS anti-TNF commencers with clinically relevant fatigue, baseline predictors of response were investigated.

RESULTS

Of the 998 BSRBR-AS recruits with complete fatigue data, 310 were anti-TNF commencers. At 1-year follow-up, the former group reported a mean fatigue change of -2.6 (95% CI -4.1, -1.9) points while the latter reported a mean worsening of fatigue by 0.2 points. Following propensity score adjustment, those commencing anti-TNF therapy reduced fatigue by 3.0 points compared with those not. Of those with significant fatigue and commencing anti-TNF, poor sleep quality at baseline predicted fatigue improvement. In the meta-analysis, including 1109 subjects, treatment with anti-TNF therapy resulted in a significant improvement in fatigue [Standardized mean difference (SMD) = 0.36, 95% CI 0.15, 1.56].

CONCLUSION

Anti-TNF therapy results in a significant but modest reduction in fatigue amongst axSpA patients, with those reporting poor sleep quality most likely to report improvement. Effective management will likely require additional approaches.

Sleep apnea-hypopnea syndrome caused by ankylosing spondylitis: A case report

INTRODUCTION

Sleep apnea-hypopnea syndrome (SAHS) is a multifactorial disease characterized by recurrent hypopnea or respiratory interruption during sleep, which causes intermittent hypoxemia, hypercapnia, and sleep structure disturbances. An association between ankylosing spondylitis (AS) and the type of SAHS has rarely been reported in the literature. Here, we present a case of SAHS in a patient with AS and discuss the possible mechanism underlying the type of SAHS.

PATIENT CONCERNS

A 46-year-old man presented with a 15-year history of AS. He had been receiving sulfasalazine for symptomatic relief and had never been on immunosuppressive therapy.

DIAGNOSIS

The patient was diagnosed with SAHS in addition to AS.

INTERVENTIONS

We instituted treatment with methylprednisolone (5 mg, oral, daily), leflumomide (20 mg, oral, daily), bicyclol tablets (25 mg, oral, 3 times a day), and ursodeoxycholic acid tablets (10 mg/kg, oral, daily). The patient received etanercept (50 mg, sc, once a week) as his condition deteriorated. In addition, for management of SAHS symptoms, the patient received nasal continuous positive airway pressure (CPAP) during sleep.

OUTCOMES

Six months after commencement of the treatment, the clinical manifestations of SAHS and AS had significantly improved.

CONCLUSIONS

We hypothesize that patients with AS are prone to sleep apnea due to airway compression, central depression of respiration, abnormal inflammatory responses. Hence, careful assessment toward potential SAHS symptoms should be considered especially in patients with AS.

Sleep disturbances in ankylosing spondylitis: a systematic review and meta-analysis

The aim of this meta-analysis was to compare sleep outcomes of AS patients and controls. Six electronic databases were searched: PubMed, Embase, IndMed, Cochrane Library, CNKI and Web of Science. Statistical analyses were executed using Revman 5.3 software. Nine studies and a total of 3169 participants were included in the meta-analysis. When sleep was assessed using PSQI, significant differences were observed in subjective sleep quality, sleep latency, sleep efficiency, sleep disorders, sleep medication use and total PSQI between patients with AS and controls, and subjective sleep quality was most severely affected. In PSG, eight variables of sleep quality (stage I sleep, stage II sleep, slow wave sleep, rapid eye movement, arousal index, periodic leg movement index, sleep latency, sleep efficiency) were lower in AS patients than in controls. Three variables of sleep quality assessed by USI (estimated sleep time, sleep sufficiency index, number of awakenings per night) and two variables of sleep quality assessed by MOS sleep scale (sleep disturbance scale, sleep problem index II) were lower in AS patients than in controls. It indicated that AS patients experience more serious sleep disorders. Early recognition and appropriate interventions are essential to improve patients' sleep quality.

Prevalence and factors associated with disturbed sleep in outpatients with ankylosing spondylitis

Sleep disturbance is prevalent among patients with ankylosing spondylitis (AS) and is considered a multifactorial issue. The study was designed to investigate sleep disturbance and its associated factors in AS outpatients in Southwest China. Patients were recruited by convenience sampling in this cross-sectional study. The Pittsburgh Sleep Quality Index (PSQI), the Bath AS Disease Activity Index (BASDAI), the Bath AS Functional Index (BASFI), the Bath AS Patient Global Score (BAS-G), and the Hospital Anxiety and Depression Scale (HADS) were used to assess sleep quality, disease activity, function status, global well-being, depression, and anxiety. Spearman's correlation, t test, ANOVA, and multiple linear regression analysis were used to explore the associated factors of sleep disturbance. Of the 281 outpatients included in the study, 190 (67.6%) patients had sleep disturbance. The married patients, the patients with extra-spinal manifestation, depression and anxiety, longer duration of diagnostic delay, higher disease activity, worse functional status and global well-being, high level of pain, and fatigue, had poorer sleep quality (P < 0.05). Multiple linear regression analysis revealed age (β = 0.087, P = 0.102), BAS-G (β = 0.181, P = 0.003), fatigue (β = 0.170, P = 0.002), anxiety (β = 0.151, P = 0.002) and nocturnal back pain (β = 0.192, P = 0.001), extra-spinal manifestation (β = 0.120, P = 0.012), and duration of diagnostic delay (β = 0.174, P = 0.001) were the contributors to PSQI. Sleep disturbance is common in AS patients in Southwest China. It may be useful to keep regular exercise, strengthen the management of pain, relieve anxiety, and prevent and treat extra-spinal manifestation for improving sleep quality.

Sleep Quality Is Related to Disease Activity in Patients With Ankylosing Spondylitis: A Polysomnographic Study

BACKGROUND

Ankylosing spondylitis (AS) is a chronic inflammatory disease that is associated with poor sleep quality.

OBJECTIVES

The present study aimed to investigate the relationship between disease activity and sleep quality in patients with AS and to evaluate the potential effect of anti-tumor necrosis factor (TNF) treatment on sleep quality and pattern.

METHODS

Fifty-nine patients with AS were consecutively included in the study. Twenty-eight patients (47.5%) were receiving anti-TNF, and 31 (52.5%) patients were receiving only nonsteroidal anti-inflammatory drugs (NSAIDs). Demographic and treatment characteristics, spinal mobility measurements, disease activity measurements, and sleep questionnaire results of each patient were recorded. Each patient underwent a polysomnography examination for the evaluation of sleep patterns.

RESULTS

When compared with the patients on NSAID treatment, patients receiving anti-TNF treatment had significantly greater total sleep time and sleep efficiency (P = 0.003 and P < 0.001, respectively). They had a significantly lower (better) Pittsburgh Sleep Quality Index, sleep onset latency, number of awakenings, and arousal index (P < 0.001, for all). Moreover, they had a significantly shorter superficial sleep period (stage 1) and a significantly longer rapid eye movement sleep period (P < 0.001 and P = 0.02, respectively). Higher indexes of disease activity (Bath AS Disease Activity Index, Bath AS Functional Index, and visual analog scale) were reflecting poorer sleep quality.

CONCLUSIONS

Sleep quality and pattern was markedly better in patients with AS on anti-TNF compared with the patients on NSAID treatments. Increased disease activity can impair the quality of sleep in AS. Improved sleep quality and pattern in patients on anti-TNF treatment may be related to improved disease activity.

Prevalence and factors associated with disturbed sleep in patients with ankylosing spondylitis and non-radiographic axial spondyloarthritis: a systematic review

This review explores the prevalence and factors associated with disturbed sleep for patients with ankylosing spondylitis and non-radiographic axial spondyloarthritis in order to clarify consistent findings in this otherwise disparate research field. The association of physical, demographic and psychological factors correlating with poor sleep was explored, and the effectiveness of interventions assessed. Ten electronic databases were searched: AMED, CINAHL, Embase, Medline, PsycINFO, PubMed, Scopus, Web of Science, OpenGrey and BASE. Following application of inclusion and exclusion criteria, 29 articles were critically assessed on the basis of methodology, experimental design, ethics and quality of sleep data, leading to the selection of 15 studies for final review. Poor sleep was reported in 35-90% of patients with axial spondyloarthritis and is more prevalent within this clinical population compared to healthy control subjects. Disturbed sleep is an important aspect of disease for patients and reflects the severity of disease activity, pain, fatigue and functional disability. However, the direction of this relationship is undetermined. Associations with age, gender, years spent in education, quality of life and depression have also been demonstrated. Anti-TNF medication is effective in reducing poor sleep, and exercise has also produced beneficial results. Future research into poor sleep should take account of its multifactorial nature. There is also a current lack of research investigating non-pharmacological interventions or combination therapies. A standardised, validated measurement of poor sleep, appropriate for regular patient screening, would be a useful first step for future research.

Polysomnographic characteristics in nonmalignant chronic pain populations: A review of controlled studies

Sleep and pain are critical homeostatic systems that interact in a bidirectional manner. Complaints of sleep disturbance are ubiquitous among patients with chronic pain disorders, and conversely, patients with persistent insomnia symptoms commonly report suffering from chronic pain. Sleep deprivation paradigms demonstrate that partial or complete sleep loss induce hyperalgesia, possibly due to shared mechanistic pathways including neuroanatomic and molecular substrates. Further, chronic pain conditions and sleep disturbances are intertwined through comorbidities, which together cause detrimental psychological and physical consequences. This critical review examines 29 polysomnography studies to evaluate whether nonmalignant chronic pain patients, as compared to controls, show differences in objective measures of sleep continuity and sleep architecture. Whereas these controlled studies did not reveal a consistent pattern of objective sleep disturbances, alterations of sleep continuity were commonly reported. Alterations of sleep architecture such as increases in light sleep or decreases in slow-wave sleep were less commonly reported and findings were mixed and also inconsistent. Methodological flaws were identified, which complicated interpretation and limited conclusions; hence, recommendations for future research are suggested. Knowledge of abnormalities in the sleep process has implications for understanding the pathophysiology of chronic pain conditions, which might also direct the development of novel intervention strategies.

The relationship between disease activity measured by the BASDAI and psychological status, stressful life events, and sleep quality in ankylosing spondylitis

Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) is a standard instrument regularly used to assess disease activity of patients with ankylosing spondylitis (AS). However, the well-being of a patient is also affected by impairment of function as well as psychological status and other factors. The objective of this study was to evaluate if psychological status, stressful life events, and sleep quality contribute significantly to BASDAI. Six hundred eighty-three AS patients satisfying the Modified New York Criteria for AS were recruited from the rheumatology clinics of seven hospitals in China. Patients with other concomitant disorders were excluded. Participants were requested to complete a set of clinical examinations and the following questionnaires: Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), Zung Self-Rating Anxiety Scale (SAS), Zung Self-Rating Depression Scale (SDS), Pittsburgh Sleep Quality Index Questionnaire (PSQI), Health Assessment Questionnaire for Spondyloarthropathies (HAQ-S), and Social Readjustment Rating Scale (SRRS). Spearman correlation analysis showed that BASDAI was highly associated with degree and duration of morning stiffness, overall pain, nocturnal back pain, overall back pain, anxiety, and BASFI (all P < 0.001), but were not associated with education, HAQ-S, and sleep medication in PSQI (P > 0.05). Multiple stepwise regression analysis indicated that overall pain was the maximal statistical contribution in predicting disease activity (standardized coefficient, 0.335). In hierarchic multiple regression analysis, psychological variables added an only additional 2.7% to the overall R(2) beyond that accounted for by demographic and medical variables, resulting in a final R(2) of 53.5%. Although BASDAI is a very good measurement of pain and stiffness and to a certain extent effect of functional impairment in AS, it barely takes into account psychological status, stress life events, and sleep quality These factors should be evaluated by other modalities.