Prevalence of and characteristics associated with insomnia and obstructive sleep apnea among veterans with knee and hip osteoarthritis

The relationship between obstructive sleep apnea and osteoarthritis: evidence from an observational and Mendelian randomization study

Objectives

Obstructive sleep apnea (OSA) and osteoarthritis (OA) are common comorbidities that significantly impact individuals' quality of life. However, the relationship between OSA and OA remains unclear. This study aims to explore the connection between OSA and OA and evaluate causality using Mendelian randomization (MR).

Methods

A total of 12,454 participants from the National Health and Nutrition Examination Survey (2009-2012) were included. OSA participants were identified based on self-reported interviews. The association between OA and OSA was assessed through multivariable logistic regression analysis. A two-sample MR was employed to investigate the relationship between OSA and OA, specifically hip OA and knee OA, utilizing the inverse variance-weighted (IVW) approach.

Results

Based on the observational study, individuals with OSA exhibited a higher risk of OA (OR = 1.67, 95% CI = 1.40-1.98). IVW demonstrated that the risk of OA (OR = 1.13, 95% CI: 1.05-1.21, p = 0.001), hip OA (OR = 1.11, 95% CI: 1.04-1.18, p = 0.002), and knee OA (OR = 1.08, 95% CI: 1.02-1.14, p = 0.005) was significantly associated with OSA. Reverse MR analyses indicated no effect of OA on OSA. Additionally, body mass index (BMI) was found to mediate 36.9% (95% CI, 4.64-73.2%, p = 0.026) of the OSA effects on OA risk.

Conclusion

The cross-sectional observational analysis unveiled noteworthy associations between OSA and OA. Meanwhile, findings from the MR study provide support for a causal role.

Association of comorbid obstructive sleep apnea and insomnia with risk of major adverse cardiovascular events in sleep medicine center patients

OBJECTIVES

To investigate the association between comorbid obstructive sleep apnea and insomnia and major adverse cardiovascular events, including myocardial infarction, unstable angina, congestive heart failure, and stroke, in adults with suspected sleep disorders who underwent sleep apnea testing.

METHODS

We conducted a retrospective analysis of electronic medical records data from patients with clinical encounters at sleep medicine centers to identify patients with comorbid obstructive sleep apnea and insomnia, obstructive sleep apnea only, insomnia only, and patients without a diagnosis of obstructive sleep apnea or insomnia (i.e., controls). Obstructive sleep apnea, insomnia, comorbidities, and new-onset major adverse cardiovascular events were ascertained by ICD-9-CM and ICD-10-CM codes. Multivariable adjusted Cox proportional regression models evaluated the risk of major adverse cardiovascular events over a 10-year follow-up period.

RESULTS

A total of 3951 patients, 226 controls, 2107 with obstructive sleep apnea only, 276 with insomnia only, and 1342 with comorbid obstructive sleep apnea and insomnia, were included in the analysis. Compared to controls, comorbid obstructive sleep apnea and insomnia were associated with a significantly higher risk of developing major adverse cardiovascular events (hazard ratio 3.60, 95 CI%: 2.33-5.91) in unadjusted analyses. The relationship between comorbid obstructive sleep apnea and insomnia and major adverse cardiovascular events remained after adjustment for demographic and behavioral factors, but not after further adjustment for comorbidities. The greatest risk of major adverse cardiovascular events was found among younger adults with comorbid obstructive sleep apnea and insomnia. Obstructive sleep apnea only was associated with greater risk of major adverse cardiovascular events in unadjusted analyses only (hazard ratio 2.77, 95% CI: 1.80-4.54). Insomnia only was not significantly associated with increased risk of major adverse cardiovascular events.

CONCLUSIONS

Comorbid obstructive sleep apnea and insomnia may be a high-risk group for major adverse cardiovascular events, particularly younger adults. Further research is needed to better understand the association between comorbid obstructive sleep apnea and insomnia and major adverse cardiovascular events risk.

Association Between Sleep Apnea Syndrome and Osteoarthritis: Insights from Bidirectional Mendelian Randomization and Bioinformatics Analysis

Background

Sleep apnea syndrome(SAS) and osteoarthritis (OA) are two prevalent diseases that often coexist, but the causal relationship between them remains unclear. In light of this, our team utilizes Mendelian Randomization and bioinformatics analysis methods to investigate the potential association between the two diseases.

Methods

In this study, we utilized GWAS data pertaining to SAS and OA to assess the causal relationship between the two diseases through Mendelian randomization (MR) analysis. We then employed transcriptomic data to perform differential gene identification, WGCNA, shared gene determination, functional enrichment analysis, and colocalization analysis, all designed to further elucidate the mechanisms underlying the association between the two diseases. In the end, we utilized Mendelian randomization (MR) analysis again to delve deeper into the relationship between the two diseases and immune cells.

Results

Our research findings indicate that SAS is a risk factor for OA (p = 0.000004), knee OA (p = 0.0000001) and hip OA(p = 0.001). Furthermore, OA (p = 0.000195), knee OA (p = 0.001) are significant risk factors for SAS. However, there is no clear evidence that hip OA (p = 0.892) is a risk factor for SAS. Interestingly, the genes shared between OA and SAS are significantly enriched in leukocyte migration, leukocyte chemotaxis. Moreover, colocalization analysis suggests that the genes JUNB, COL8A1, FOSB, and IER2 may be key genes associated with both diseases. Furthermore, 57 immune cell phenotypes are associated with SAS, 95 with OA, and 6 shared between both diseases.

Conclusion

This research confirmed the bidirectional causal relationship between SAS and OA. Notably, the 4 genes (JUNB, COL8A1, FOSB, IER2) and 6 immune phenotypes are crucial for both diseases, these provide hopeful targets for future interventions against these two diseases.

Integration of Cognitive Behavioral Therapy for Insomnia in Best-Practice Care for Patients With Knee Osteoarthritis and Insomnia: A Randomized Controlled Trial Protocol

OBJECTIVE

Knee osteoarthritis (KOA) is a common musculoskeletal problem worldwide and its key symptom is pain. Guidelines recommend incorporating comorbidity-specific therapies into patient-centered care. Patients diagnosed with KOA frequently have insomnia, which is associated with higher-pain severity. For this reason, this study protocol outlines the methodology of a randomized controlled trial (RCT) investigating the effectiveness of cognitive behavioral therapy for insomnia (CBTi) combined with best-practice KOA care (BPC) compared to best-practice KOA care and lifestyle education.

METHODS

A 2-arm RCT in patients with KOA and insomnia is conducted, in which a total of 128 patients are randomly allocated to an intervention or control group. The experimental intervention consists of 12 sessions of physical therapist-led BPC with an additional 6 sessions of CBTi. The control intervention also receives BPC, which is supplemented with 6 general lifestyle information sessions. The primary outcome is the between-group difference in change in pain severity at 6 months after intervention. Secondary outcomes are pain-related outcomes, sleep-related outcomes, symptoms of anxiety and depression, level of physical activity and function, perceived global improvement, biomarkers of inflammation, and health-related quality of life. Assessments are conducted at baseline, immediately after intervention, and 3, 6, and 12 months after intervention. Furthermore, a cost-utility analysis for the proposed intervention will be performed alongside the RCT.

IMPACT

This is the first RCT investigating the clinical and cost-effectiveness of a physical therapist-led intervention integrating CBTi into BPC in patients with KOA and insomnia. The results of this trial will add to the growing body of evidence on the effectiveness of individualized and comorbidity-specific KOA care, which can inform clinical decision-making and assist policymakers and other relevant stakeholders in optimizing the care pathway for patients with KOA.

Group physical therapy for knee osteoarthritis: protocol for a hybrid type III effectiveness-implementation trial

BACKGROUND

Knee osteoarthritis (OA) is a leading cause of chronic pain and disability and one of the most common conditions treated in outpatient physical therapy (PT). Because of the high and growing prevalence of knee OA, there is a need for efficient approaches for delivering exercise-based PT to patients with knee OA. A prior randomized controlled trial (RCT) showed that a 6-session Group Physical Therapy Program for Knee OA (Group PT) yields equivalent or greater improvements in pain and functional outcomes compared with traditional individual PT, while requiring fewer clinician hours per patient to deliver. This manuscript describes the protocol for a hybrid type III effectiveness-implementation trial comparing two implementation packages to support delivery of Group PT.

METHODS

In this 12-month embedded trial, a minimum of 16 Veterans Affairs Medical Centers (VAMCs) will be randomized to receive one of two implementation support packages for their Group PT programs: a standard, low-touch support based on Replicating Effective Programs (REP) versus enhanced REP (enREP), which adds tailored, high-touch support if sites do not meet Group PT adoption and sustainment benchmarks at 6 and 9 months following launch. Implementation outcomes, including penetration (primary), adoption, and fidelity, will be assessed at 6 and 12 months (primary assessment time point). Additional analyses will include patient-level effectiveness outcomes (pain, function, satisfaction) and staffing and labor costs. A robust qualitative evaluation of site implementation context and experience, as well as site-led adaptations to the Group PT program, will be conducted.

DISCUSSION

To our knowledge, this study is the first to evaluate the impact of tailored, high-touch implementation support on implementation outcomes when compared to standardized, low-touch support for delivering a PT-based intervention. The Group PT program has strong potential to become a standard offering for PT, improving function and pain-related outcomes for patients with knee OA. Results will provide information regarding the effectiveness and value of this implementation approach and a deeper understanding of how healthcare systems can support wide-scale adoption of Group PT.

TRIAL REGISTRATION

This study was registered on March 7, 2022 at ClinicalTrials.gov (identifier NCT05282927 ).

The molecular link between obstructive sleep apnea and osteoarthritis: based on bioinformatics analysis and experimental validation

BACKGROUND

Obstructive sleep apnea (OSA) and osteoarthritis (OA) are highly prevalent and seriously affect the patient's quality of life. Patients with OSA have a high incidence of OA, however, the underlying mechanism remains unclear. Here, we investigated the molecular link between OSA and OA via bioinformatics analysis and experimental validation.

METHODS

We downloaded a peripheral blood monocyte microarray profile (GSE75097) for patients with OSA and two synovial microarray profiles (GSE55235 and GSE55457) for patients with OA from the Gene Expression Omnibus database. We identified OSA-associated differentially expressed genes (OSA-DEGs) in patients with OA. Additionally, we constructed protein-protein interaction networks to identify the key genes involved in OA. Immunohistochemistry was performed to verify the expression of key genes in OA rat models. RNA interference assay was performed to validate the effects of key genes on synovial cells. Gene-miRNA, gene-transcription factor, and gene-drug networks were constructed to predict the regulatory molecules and drugs for OA.

RESULTS

Fifteen OSA-DEGs screened using the threshold criteria were enriched in the tumor necrosis factor (TNF) pathway. Combining the 12 algorithms of CytoHubba, we identified JUNB, JUN, dual specificity phosphatase 1 (DUSP1), and TNF-alpha-induced protein 3 (TNFAIP3) as the key OSA-DEGs involved in OA development. Immunohistochemistry and quantitative polymerase chain reaction revealed that these key genes were downregulated in the OA synovium, promoting TNF-α expression. Therefore, OSA-DEGs, JUN, JUNB, DUSP1, and TNFAIP3 function in OA by increasing TNF-α expression. Our findings provide insights on the mechanisms underlying the effects of OSA on OA.

The interplay between symptoms of insomnia and pain in people with osteoarthritis: A narrative review of the current evidence

Osteoarthritis (OA) is a leading cause of disability worldwide and clinical pain is the major symptom of OA. This clinical OA-related pain is firmly associated with symptoms of insomnia, which are reported in up to 81% of people with OA. Since understanding the association between both symptoms is critical for their appropriate management, this narrative review synthesizes the existing evidence in people with OA on i) the mechanisms underlying the association between insomnia symptoms and clinical OA-related pain, and ii) the effectiveness of conservative non-pharmacological treatments on insomnia symptoms and clinical OA-related pain. The evidence available identifies depressive symptoms, pain catastrophizing and pain self-efficacy as mechanisms partially explaining the cross-sectional association between insomnia symptoms and pain in people with OA. Furthermore, in comparison to treatments without a specific insomnia intervention, the ones including an insomnia intervention appear more effective for improving insomnia symptoms, but not for reducing clinical OA-related pain. However, at a within-person level, treatment-related positive effects on insomnia symptoms are associated with a long-term pain reduction. Future longitudinal prospective studies offering fundamental insights into neurobiological and psychosocial mechanisms explaining the association between insomnia symptoms and clinical OA-related pain will enable the development of effective treatments targeting both symptoms.

Sleep Disturbances and Disorders in Patients with Knee Osteoarthritis and Total Knee Arthroplasty

➤

There is increasing evidence that patient-reported outcomes following total knee arthroplasty (TKA) are associated with psychosocial factors and pain catastrophizing. Sleep disturbance, pain, and mental health have a complex interaction, which, if unrecognized, can be associated with impaired patient-reported outcomes and dissatisfaction following TKA.

➤

The gold standard of objective sleep assessment is polysomnography, which is not feasible to use routinely for TKA patients. Wearable devices are a validated and less costly alternative.

➤

Subjective sleep measures, such as the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, or Patient-Reported Outcomes Measurement Information System (PROMIS) computerized adaptive test sleep domains, are simple to administer and provide additional insight into sleep disturbance. Although objective and subjective measures do not correlate precisely, they can be informative together.

➤

Sleep disturbances in the elderly population are common and multifactorial in etiology, stemming from the interplay of sleep disorders, medication side effects, and pain. Commonly prescribed medications following TKA as well as postoperative pain can exacerbate underlying sleep disturbances.

➤

Obstructive sleep apnea (OSA) is prevalent in patients seeking TKA. In the setting of OSA, postoperative opioids can cause respiratory depression, resulting in consequences as severe as death. A standardized multimodal pain protocol including anti-inflammatories and gamma-aminobutyric acid (GABA) analogues may allow for decreased reliance on opioids for pain control.

➤

Surgeons should reassure patients that postoperative sleep disturbance is common and transient, collaborate with the patient's primary care doctor to address sleep disturbance, and avoid prescription of pharmaceutical sleep aids.

Efficacy and safety of tanezumab, NSAIDs, and placebo in patients with moderate to severe hip or knee osteoarthritis and a history of depression, anxiety, or insomnia: post-hoc analysis of phase 3 trials

Objective: Treatment outcomes for chronic pain can be poor in patients with depression, anxiety, or insomnia. This analysis evaluated the efficacy and safety of subcutaneous tanezumab, nonsteroidal anti-inflammatory drugs (NSAIDs), and placebo in patients with osteoarthritis (OA) and a history of these conditions using data from three phase 3 studies.Methods: A post-hoc analysis of data from two pooled placebo-controlled studies and one NSAID-controlled study of subcutaneous tanezumab. All patients had moderate to severe knee or hip OA that was inadequately controlled with standard-of-care analgesics. Efficacy outcomes were least-squares mean change from baseline to Week 16 in Western Ontario McMaster Universities OA Index (WOMAC) Pain, WOMAC Physical Function, Patient's global assessment of OA, and EQ-5D-5L scores. Results were summarized for patients with and without a history of depression, anxiety, or insomnia at baseline.Results: 1545 patients were treated in the pooled placebo-controlled studies (history of depression, 12%; anxiety, 8%; insomnia, 10%; any, 23%) and 2996 in the NSAID-controlled study (16%, 11%, 13%, 28%, respectively). In groups with positive histories, 38-80% took antidepressant or anxiolytic medications at baseline. Within treatments, largely similar improvements in efficacy outcomes were observed in patients with and without a history of depression, anxiety, or insomnia; the types of treatment-emergent adverse events were similar.Conclusions: Patients with OA and a history of depression, anxiety, or insomnia did not appear to experience reduced efficacy outcomes or an altered safety profile in response to tanezumab or NSAID treatment as compared with those without. NCT02697773; NCT02709486; NCT02528188.

Osteoarthritis is positively associated with self-reported sleep trouble in older adults

BACKGROUND

Osteoarthritis (OA) is a leading cause of disability in older adults. Most research has focused on minimizing pain and maximizing physical function so as to maintain patient mobility preceding joint arthroplasty. However, few studies have formally studied the relationship between OA and sleep trouble, although it is clinically recognized that OA may affect sleep.

METHODS

The study was based on the National Health and Nutrition Examination Survey (NHANES) database from 2011-2018. Participants were defined as adults aged 60 years or older with diagnoses of OA and self-reported sleep trouble. Multivariable regression analyses were applied to assess the association between OA and sleep trouble, adjusting for age, sex, body mass index, race/ethnicity, education level, marital status, income, depression level, etc. RESULTS: This study included 4154 participants, consisting of the control group (n = 2966) and the OA group (n = 1188). OA individuals were 2.11 (95% CI 1.79-2.47, p < 0.001) times more likely to have sleep trouble compared with those without OA. On subgroup analyses, there was lower odds ratio value of sleep trouble in men compared with women, and in the highest income group compared with the other income groups.

CONCLUSIONS

OA was positively associated with sleep trouble in older adults, with different odds ratio values among different subgroups. Our results suggest that older adults with OA should be aggressively screened for sleep problems.

Predictors of the Health-Related Quality of Life (HRQOL) in SF-36 in Knee Osteoarthritis Patients: A Multimodal Model With Moderators and Mediators

Purpose

The study aimed to examine associations between the 36-item short form health survey (SF-36) in clinical and neurophysiological measures to identify its predictors in patients with knee osteoarthritis (KOA) in a rehabilitation program.

Methods

We analyzed data from our cohort study (DEFINE cohort). We analyzed data from our KOA arm, with 107 patients, including clinical assessments, demographic data, pain scales, motor function (Timed Up and Go Test (TUG), 10 meters walk test, and 6-minute walk), balance (BBS), sleepiness (ESS), and Transcranial Magnetic Stimulation (TMS) and Electroencephalography (EEG).

Results

Our results showed 83.19% of patients were female with an average age of 68.6 years and an average number of days of pain was 96 days; around 31.86% were using more than five medications per day. Regarding the multimodal model to explain SF-36, the main variables relevant to the quality of life (QoL) were related to emotional aspects, such as anxiety and depression. Moreover, our study added findings with polymorphism (OPRM1/rs1799971) predicting mental aspects. Cognitive variables were important in predicting the mental health, emotional, and social support dimensions of the SF-36. In the physical domain, pain-related variables predominantly predicted QoL in these relationships. The domain of vitality significantly predicted all dimensions studied, except for mental and general health.

Conclusion

The results help in understanding the aspects that contribute to QoL and are discussed considering the general literature on physical rehabilitation and specific to this clinical group. Furthermore, the statistical methods allowed us to explore and effectively understand the dimensions related to QoL.

Pain Experiences in Individuals with Reported and Suspected Sleep Disorders

The purpose of the present study was to examine whether individuals with varying reported and/or suspected insomnia and sleep apnea presentations differed with respect to pain.Data included 3,161 adults who participated in an online study investigating sleep and health. Participants reported a lifetime history of prior sleep disorder diagnoses while the presence of suspected sleep disorders was determined using the Insomnia Severity Index and the STOP-Bang. Average pain intensity was assessed using a visual analogue scale and pain interference was determined using two items from the PHQ-15. Participants who reported diagnoses of insomnia and/or sleep apnea reported greater pain intensity and interference compared to those with no sleep disorder; however, no differences in pain were observed between the various reported sleep disorders. Of participants who did not report either insomnia or sleep apnea diagnoses, 24% were suspected of having either insomnia, sleep apnea, or both disorders based on responses to questionnaires. Participants with one or more suspected sleep disorders reported higher pain intensity and interference than those without a suspected disorder. Additionally, having either suspected insomnia or suspected comorbid insomnia and sleep apnea was associated with greater pain intensity compared to only having suspected sleep apnea. Sleep disorders go commonly undiagnosed and are associated with adverse pain experiences. While results do not support a synergistic effect of suspected insomnia and sleep apnea on pain, findings indicate that screening for sleep disorders is warranted and may have important implications for pain treatment.

Obstructive sleep apnea is common in patients with high-impact chronic pain - an exploratory study from an interdisciplinary pain center

OBJECTIVES

Sleep disturbances are increasingly recognized as a major part of chronic pain pathology. Obstructive sleep apnea (OSA) is a common occurrence in patients with chronic pain attending specialized pain clinics, yet its prevalence remains unclear. Using screening tools such as the Berlin and STOP-BANG questionnaires may aid in early identification of OSA and improve clinical care. This study i) examined the frequency of OSA based on objective sleep monitoring in patients with high-impact chronic pain, ii) explored potential differences in self-reported pain and sleep characteristics between patients with and without OSA, and iii) tested the agreement between OSA classification based on objective assessment and two OSA screening questionnaires.

METHODS

A consecutive cohort of 90 patients (71 women and 19 men; mean age: 47.1 ± 11.0 years) referred for interdisciplinary pain treatment, underwent one night of sleep monitoring using portable respiratory polygraphy (RP), and suspected OSA was confirmed with polysomnography (PSG). Self-reported data on clinical pain (severity, pain drawings and health-related quality of life), sleep characteristics (sleep quality insomnia, sleepiness), and risk of OSA (Berlin and STOP-BANG questionnaires) were collected the day before RP assessment.

RESULTS

Forty-six (51.1%) patients were classified with OSA according to RP and verified with PSG. Twenty-eight patients (31.1%) had moderate or severe OSA (apnea-hypopnea index [AHI] >15). Patients with OSA reported lower sleep quality compared with patients without OSA. Scores on pain severity, disability, quality of life, insomnia and sleepiness were comparable between patients with and without OSA. Sensitivity and specificity were 78.6 and 45.2% respectively for the Berlin questionnaire, and 71.4 and 58.1% respectively for the STOP-BANG questionnaire. The agreement for both questionnaires with objective assessment was poor-to-fair. Both questionnaires had acceptable negative predictive values but low positive predictive values reducing the clinical utility to identify patients with low OSA-risk in this sample.

CONCLUSIONS

The current study demonstrates a high prevalence of OSA in patients with high-impact chronic pain referred to specialized pain treatment, however the clinical pain profiles were similar in patients with and without OSA. The Berlin and STOP-BANG questionnaires have poor specificity and low-to-fair agreement with RP/PSG questioning their clinical utility in identifying OSA in this sample.

Melatonin Does Not Improve Sleep Quality in a Randomized Placebo-controlled Trial After Primary Total Joint Arthroplasty

INTRODUCTION

Sleep disturbance is a common concern among patients who have undergone total joint arthroplasty (TJA). Poor sleep during the postoperative period affect quality of life directly and may influence pain recovery after TJA. The purpose of this prospective study was to investigate whether the daily use of exogenous melatonin for 6 weeks after TJA can mitigate the effects of TJA on sleep.

METHODS

A cohort of 118 patients undergoing primary total hip arthroplasty or total knee arthroplasty from 2018 to 2020 were randomized to melatonin (6 mg) or placebo for 42 days after surgery. Inclusion criterion was patients undergoing unilateral primary TJA. Patients who underwent bilateral TJA and revision TJA, with a history of sleep disturbance, and on opioid medication or sleep aids preoperatively were excluded. Sleep quality was assessed at baseline and at 2 and 6 weeks postoperatively using the validated self-administered questionnaire, Pittsburgh Sleep Quality Index (PSQI). Continuous and categorical variables were analyzed using Student t-test and chi-square analysis, respectively. Multivariate linear regression analysis was also conducted.

RESULTS

Patients in both groups exhibited higher PSQI scores, representing lower sleep quality, at both 2 and 6 weeks postoperatively compared with that at baseline. Overall, global PSQI scores were 6.8, 9.8, and 8.8 at baseline, week 2, and week 6, respectively. No significant differences were noted between melatonin and placebo groups at baseline (6.8 versus 6.8, P = 0.988), week 2 (10.2 versus 9.3, P = 0.309), or week 6 (8.8 versus 8.7, P = 0.928). In multivariable regression, the only significant predictors of increased PSQI scores were an elevated baseline PSQI score (at both time points), a decreased length of stay (at week 2 only), and patients undergoing total hip arthroplasty versus total knee arthroplasty (at week 6 only).

CONCLUSION

Patients undergoing TJA had poor sleep quality both preoperatively and postoperatively. The use of exogenous melatonin did not demonstrate any notable effect on sleep quality.

Association between sleep disorders and osteoarthritis: A case-control study of 351,932 adults in the UK

This study aimed to analyse the association between sleep disorders and osteoarthritis in adults in the UK. This case-control study included patients aged ≥ 18 years who were diagnosed with osteoarthritis for the first time in one of 256 general practices in the UK between 1997 and 2016 (index date). Patients without osteoarthritis were matched (1:1) to those with osteoarthritis by sex, age, index year, general practice, observation time prior to index date (in years), obesity, injuries, and other types of arthritis. For patients without osteoarthritis, the index date was a randomly selected visit date between 1997 and 2016. The presence of sleep disorders prior to index date was assessed in the two groups. Finally, conditional logistic regression analyses were conducted to investigate the association between sleep disorders and osteoarthritis. This case-control study included 351,932 adults (61.5% women; mean [SD] age 64.9 [14.2] years). Overall, there was a significant association between sleep disorders and osteoarthritis (odds ratio = 1.25, 95% confidence interval = 1.22-1.29). This finding was corroborated in all sex and age subgroups, except in patients aged > 80 years. In terms of the type of sleep disorder, non-organic sleep disorders, hypersomnia and sleep apnea were associated to a significant extent with higher odds of developing osteoarthritis. Finally, the relationship between sleep disorders and osteoarthritis was significant in all osteoarthritis subgroups, except in that of patients with knee osteoarthritis. Based on these results, it can be concluded that sleep disorders may play a role in the development of osteoarthritis.

Pain Catastrophizing and Arthritis Self-Efficacy as Mediators of Sleep Disturbance and Osteoarthritis Symptom Severity

OBJECTIVE

Sleep and pain-related experiences are consistently associated, but the pathways linking these experiences are not well understood. We evaluated whether pain catastrophizing and arthritis self-efficacy mediate the association between sleep disturbance and osteoarthritis (OA) symptom severity in patients with knee OA.

METHODS

We analyzed cross-sectional baseline data collected from Veterans Affairs (VA) patients enrolled in a clinical trial examining the effectiveness of a positive psychology intervention in managing pain from knee OA. Participants indicated how often in the past two weeks they were bothered by trouble falling asleep, staying asleep, or sleeping too much. We used validated scales to assess the primary outcome (OA symptom severity) and potential mediators (arthritis self-efficacy and pain catastrophizing). To test the proposed mediation model, we used parallel multiple mediation analyses with bootstrapping, controlling for sociodemographic and clinical characteristics with bivariate associations with OA symptom severity.

RESULTS

The sample included 517 patients (Mage = 64 years, 72.9% male, 52.2% African American). On average, participants reported experiencing sleep disturbance at least several days in the past two weeks (M = 1.41, SD = 1.18) and reported moderate OA symptom severity (M = 48.22, SD = 16.36). More frequent sleep disturbance was associated with higher OA symptom severity directly (b = 3.08, P <0.001) and indirectly, through higher pain catastrophizing (b = 0.60, 95% confidence interval [CI] = 0.20 to 1.11) and lower arthritis self-efficacy (b = 0.84, 95% CI = 0.42 to 1.42).

CONCLUSIONS

Pain catastrophizing and arthritis self-efficacy partially mediated the association between sleep disturbance and OA symptom severity. Behavioral interventions that address pain catastrophizing and/or self-efficacy may buffer the association between sleep disturbance and OA symptom severity.

The relationship between restless sleep and symptoms of the knee: data from the Osteoarthritis Initiative

OBJECTIVE

To examine the associations between restless sleep and knee symptoms among individuals with radiographically confirmed KOA.

METHODS

Cross-sectional and longitudinal associations were examined using Osteoarthritis Initiative (OAI) data. Participants with radiographic KOA (n = 2517) were asked how often sleep was restless in the past week over the 4 years, and the Western Ontario and McMaster Universities Arthritis Index (WOMAC) was used to measure knee symptoms. Adjusted β coefficients (aβ) and 95% confidence intervals (CI) were derived from generalized estimating equations (GEEs) models stratified by sex.

RESULTS

One in 7 participants reported ≥ 3 nights with restless sleep. Cross-sectional analyses indicated that restless sleep 5-7 nights was associated with worse symptoms (Women: pain: aβ 1.93, 95% CI 1.12-2.74, stiffness: aβ 0.57, 95% CI 0.19-0.94, physical function: aβ 5.68, 95% CI 3.09-8.27; Men: pain: aβ = 1.85, 95% CI 0.85-2.86; stiffness: aβ 0.63, 95% CI 0.15-1.12; physical function: aβ 5.89, 95% CI 2.68-9.09) compared with < 1 night. Longitudinal analyses confirmed that more nights with restless sleep were associated with worse pain (P trend = 0.01) and function (P trend = 0.04) in women and physical function in men (P trend = 0.04), although estimates did not meet thresholds for minimal clinically meaningful differences.

CONCLUSION

While the analysis of cross-sectional data supported the association between restless sleep and KOA symptoms, such relationships were not confirmed in more robust longitudinal analysis. Further research examining whether sleep quality, duration, or disorders is associated with worsening symptoms in persons with KOA is warranted. Key Points • The prevalence of frequent restless sleep among persons with knee OA is not uncommon. • There were linear trends between frequency of restless sleep and self-reported symptoms of the knee in cross-sectional analyses. • In the more robust longitudinal analysis, despite the statistically significant linear trends observed between frequency of restless sleep and symptoms (women: pain and physical function; men: function), none appeared to reach the a priori selected ranges for minimally clinically relevant differences.

Common risk factors and therapeutic targets in obstructive sleep apnea and osteoarthritis: An unexpectable link?

Osteoarthritis (OA) and Obstructive Sleep Apnea (OSA) are two highly prevalent chronic diseases for which effective therapies are urgently needed. Recent epidemiologic studies, although scarce, suggest that the concomitant occurrence of OA and OSA is associated with more severe manifestations of both diseases. Moreover, OA and OSA share risk factors, such as aging and metabolic disturbances, and co-morbidities, including cardiovascular and metabolic diseases, sleep deprivation and depression. Whether this coincidental occurrence is fortuitous or involves cause-effect relationships is unknown. This review aims at collating and integrating present knowledge on both diseases by providing a brief overview of their epidemiology and pathophysiology, analyzing current evidences relating OA and OSA and discussing potential common mechanisms by which they can aggravate each other. Such mechanisms constitute potential therapeutic targets whose pharmacological modulation may provide more efficient ways of reducing the consequences of OA and OSA and, thus, lessen the huge individual and social burden that they impose.

A matter of time: Circadian clocks in osteoarthritis and the potential of chronotherapy

Osteoarthritis (OA) is a common and debilitating joint disease which develops and progresses with age. Despite extensive research into the disease, potent disease-modifying drugs remain elusive. Changes to the character and function of chondrocytes of the articular cartilage underly the pathogenesis of OA. A recently emerging facet of chondrocyte biology that has been implicated in OA pathogenesis is the role of circadian rhythms, and the cellular clock which governs rhythmic gene transcription. Here, we review the role of the chondrocyte's cellular clock in governing normal homeostasis, and explore the wide range of consequences that contribute to OA development when the clock is dysregulated by aging and other factors. Finally, we explore how harnessing this understanding of clock mechanics in aging and OA can be translated into novel treatment strategies, or 'chronotherapies', for patients.

Comparing VA and Community-Based Care: Trends in Sleep Studies Following the Veterans Choice Act

BACKGROUND

To address concerns about access to care, the Veterans Access, Choice, and Accountability Act of 2014 was enacted to make care available in the community when Veterans Health Administration (VA) care was unavailable or not timely. This paper examined VA referrals for diagnostic sleep studies from federal fiscal year (FY) 2015-2018.

DESIGN

Sleep studies completed between FY2015 and 2018 for Veterans tested within VA facilities (VAF) or referred to VA community care (VACC) providers were identified using VA administrative data files. Sleep studies were divided into laboratory and home studies.

KEY RESULTS

The number of sleep studies conducted increased over time; the proportion of home studies increased in VAF (32 to 47%). Veterans were more likely to be referred for a sleep study to VACC if they lived in a rural or highly rural area (ORs = 1.47 and 1.55, respectively), and had public or public and private insurance (ORs = 2.01 and 1.35), and were less likely to be referred to VACC if they were age 65+ (OR = 0.72) and were in the highest utilization risk based on Nosos score (OR = 0.78). Regression analysis of sleep study type revealed that lab studies were much more likely for VACC referrals (OR = 3.16), for persons living in rural areas (OR = 1.21), with higher comorbidity scores (OR = 1.28) and for ages 44-54, 55 to 64, and 65+ (ORs = 1.12, 1.28, 1.45, respectively) compared to younger Veterans. Veterans with some or full VA copayments (ORs = 0.91 and 0.86, respectively), and overweight Veterans (OR = 0.94) were less likely to have lab studies.

CONCLUSIONS

The number of sleep studies performed on Veterans increased from 2015 to 2018. Access to sleep studies improved through a combination of providing care through the Veteran Choice Program, predominantly used by rural Veterans, and increased use of home sleep studies by VA.

High prevalence of musculoskeletal pain in individuals with severe obesity: sites, intensity, and associated factors

Background

Musculoskeletal pain is associated with obesity; however, information on factors associated with pain in adults with obesity and severe obesity is limited. The purpose of this study was to assess the prevalence of musculoskeletal pain by site and intensity of pain and associated factors in individuals with severe obesity (body mass index ≥ 35.0 kg/m²).

Methods

Baseline data from the DieTBra Trial study evaluating pain symptoms in nine body regions over the last seven days using the Nordic Questionnaire on Musculoskeletal Symptoms and Numerical Pain Scale. The variables analyzed using multiple Poisson regression with hierarchical analysis were: sociodemographic, lifestyle, food consumption, clinical, and anthropometric, and the outcome was moderate and intense pain.

Results

In 150 participants, there was a high prevalence of ankle and foot pain (68.7%), lower back pain (62.7%), pain in the knees (53.3%) and upper back pain (52.0%), with a predominance of intense pain. Factors associated with pain according to specific sites were: type 2 diabetes with hand/wrist pain; sedentary time with hip pain; insomnia with pain in the hip and knee; edema in the lower limbs with pain in the lower back and ankles/feet; degree of obesity with ankle/foot pain; and percentage of total fat with ankle/foot pain.

Conclusions

There was a high prevalence of pain and intense pain in individuals with severe obesity and an association with clinical variables, the degree of obesity, and sedentary lifestyle.

Sleep in the United States Military

The military lifestyle often includes continuous operations whether in training or deployed environments. These stressful environments present unique challenges for service members attempting to achieve consolidated, restorative sleep. The significant mental and physical derangements caused by degraded metabolic, cardiovascular, skeletomuscular, and cognitive health often result from insufficient sleep and/or circadian misalignment. Insufficient sleep and resulting fatigue compromises personal safety, mission success, and even national security. In the long-term, chronic insufficient sleep and circadian rhythm disorders have been associated with other sleep disorders (e.g., insomnia, obstructive sleep apnea, and parasomnias). Other physiologic and psychologic diagnoses such as post-traumatic stress disorder, cardiovascular disease, and dementia have also been associated with chronic, insufficient sleep. Increased co-morbidity and mortality are compounded by traumatic brain injury resulting from blunt trauma, blast exposure, and highly physically demanding tasks under load. We present the current state of science in human and animal models specific to service members during- and post-military career. We focus on mission requirements of night shift work, sustained operations, and rapid re-entrainment to time zones. We then propose targeted pharmacological and non-pharmacological countermeasures to optimize performance that are mission- and symptom-specific. We recognize a critical gap in research involving service members, but provide tailored interventions for military health care providers based on the large body of research in health care and public service workers.

Effect of balneotherapy on pain and fatigue in elderly with knee osteoarthritis receiving physical therapy: a randomized trial

This study aimed to investigate whether balneotherapy (BT) applied in combination with physical therapy (PT) has a more positive effect in patients aged 65 years and older with knee osteoarthritis (KOA) compared to PT alone. A total of 305 individuals were randomized into two groups. Group I was applied PT alone; group II was applied PT + BT. Assessments were made using the Pain (VAS), EQ-5D-3L Scale, Western Ontario And McMaster Universities Osteoarthritis Index (WOMAC), Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) Scale, Epworth Sleepiness scale (EPWORTH) and the Outcome Measures in Rheumatology-The Osteoarthritis Research Society International set of responder criteria for osteoarthritis (OMERACT-OARSI) at the beginning (T0) and at the end (T1) of treatment. Statistically significant interactions found between treatment (PT alone or PT + BT) and time (before treatment and after treatment) in terms of Pain-VAS, Pain-WOMAC, Stiffness-WOMAC, Physical Function-WOMAC, Total-WOMAC, EQ-5D, EQ-VAS, FACIT-F, and EPWORTH scores (p < 0.0001 for all). According to OMERACT-OARSI criteria, the responder rate was 89.04% in PT alone group and 98.74% in PT + BT group. Balneotherapy plus physical therapy was more effective than physical therapy alone in KOA patients aged over 65 years. Reducing pain, especially, positively contributes to functionality, quality of life, fatigue and sleepiness of KOA patients.

Tossing and turning with degenerative arthropathy: an assessment of poor sleep quality in knee osteoarthritis

Objectives

To determine the frequency and predictors of sleep abnormalities among patients with knee osteoarthritis (OA) in Nigeria.

Material and methods

A multi-centre, hospital-based, cross-sectional study, involving 250 knee OA patients. Consenting patients 18 years and above, who satisfied the American College of Rheumatology (ACR) criteria for knee OA were recruited from five Nigerian tertiary centres over 3 months. An interviewer-administered questionnaire was used to collect demographic and relevant clinical information. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality with scores ≥ 5 indicating poor sleep. Other variables assessed were pain, depression, functional class and family functioning. Data were summarized using appropriate measures of central tendency and dispersion. Multiple logistic regression analysis was done to identify predictors of poor sleep. Analysis was done using SPSS version 21.0 with p < 0.05 considered significant. Study approval was obtained from the ethical committees of each of the study sites.

Results

Participants included 209 females (83.6%) with mean age 59.9 ±10.6 years. One hundred and forty-one participants (56.4%) had PSQI scores ≥ 5 (poor sleep). This was significantly associated with depression (p < 0.001), level of education (p = 0.001), higher pain scores (p < 0.001), body mass index (p = 0.040), medial knee OA (p = 0.032) and patello-femoral OA (p = 0.002). Higher level of education, worse depression scores and higher WOMAC pain scores were the best predictors of poor sleep quality.

Conclusion

Sleep quality was poor in over half of our knee OA patients and best predicted by depression, pain and level of education. Regular sleep quality assessment for knee OA patients is recommended.

Relationship between objectively measured lifestyle factors and health factors in patients with knee osteoarthritis: The STROBE Study

The purpose of this study was to investigate the association between objectively-measured lifestyle factors and health factors in patients with knee osteoarthritis (OA).In this cross-sectional study, 52 patients with knee OA were examined. Lifestyle factors were measured using a wearable smartwatch (step counts, walking distance, calorie consumption, sleep hours) and by self-report (eating speed). Body mass index (BMI), waist circumference, blood pressure, muscle strength of knee extensor and hip abductor, knee pain, symptoms, daily living function, sports recreation function, quality of life by knee injury and OA outcome score (KOOS) were measured to obtain data on health factors. Correlations and regression analysis were used to analyze the relationship between lifestyle factors and health factors.KOOS subscales (pain, symptom, daily living function) and hip abductor strength were positively correlated with daily step count, which was the only independently contributing lifestyle factor. Additionally, knee pain duration and diastolic blood pressure were negatively correlated with daily step count. BMI and waist circumference showed no correlation with physical activity data, but were negatively correlated with sleep duration and eating speed.The findings of this study contribute to expanding the knowledge on how lifestyle habits of older patients with knee OA contribute to their health status. Daily step counts were associated with knee OA-related pain, symptom, function in daily living, duration of knee pain, blood pressure, and strength of hip abductor. BMI and waist circumference were associated with sleep duration and eating speed.

Pharmacological treatment for insomnia in patients with major depressive disorder

INTRODUCTION

Insomnia in Major Depressive Disorder (MDD) is highly prevalent and associated with increased suffering and functional impairment. Effective, evidence-based treatments for insomnia in MDD are an unmet need in clinical practice.

AREAS COVERED

Herein, the authors provide a review of the clinical correlates, putative neurobiological mechanisms and treatment options for the management of insomnia in individuals with MDD.

EXPERT OPINION

Sleep disturbances in MDD should be recognized as at least one of the following: (1) a domain of depressive psychopathology; (2) a consequence of rhythm disruptions; (3) a manifestation of comorbidities of sleep disturbances; (4) a manifestation of the influence of sex hormones in the brain in MDD; (5) a general medical comorbidity; and (6) a side effect of antidepressant medications. Assessment of insomnia in clinical practices is routinely performed with the use of non-structured interviews. Other methods such as standardized questionnaires and sleep diaries, along with complementary methods such as actigraphy and polysomnography are more scarcely applied. Smartphones and personal devices offer a promising strategy with the use of passive, long lasting, and ecologically valid assessments despite the lack of studies specifically targeting insomnia in individuals with MDD. New therapeutic approaches are essential, including novel targets such as orexins/hypocretins and the endocannabinoid system.

Development of an Algorithm to Identify Patients with Physician-Documented Insomnia

We developed an insomnia classification algorithm by interrogating an electronic medical records (EMR) database of 314,292 patients. The patients received care at Massachusetts General Hospital (MGH), Brigham and Women’s Hospital (BWH), or both, between 1992 and 2010. Our algorithm combined structured variables (such as International Classification of Diseases 9th Revision [ICD-9] codes, prescriptions, laboratory observations) and unstructured variables (such as text mentions of sleep and psychiatric disorders in clinical narrative notes). The highest classification performance of our algorithm was achieved when it included a combination of structured variables (billing codes for insomnia, common psychiatric conditions, and joint disorders) and unstructured variables (sleep disorders and psychiatric disorders). Our algorithm had superior performance in identifying insomnia patients compared to billing codes alone (area under the receiver operating characteristic curve [AUROC] = 0.83 vs. 0.55 with 95% confidence intervals [CI] of 0.76–0.90 and 0.51–0.58, respectively). When applied to the 314,292-patient population, our algorithm classified 36,810 of the patients with insomnia, of which less than 17% had a billing code for insomnia. In conclusion, an insomnia classification algorithm that incorporates clinical notes is superior to one based solely on billing codes. Compared to traditional methods, our study demonstrates that a classification algorithm that incorporates physician notes can more accurately, comprehensively, and quickly identify large cohorts of insomnia patients.