Patterns of comorbidity and disease characteristics among patients with ankylosing spondylitis-a cross-sectional study

Analysis of sleep disorders and their influencing factors in patients with ankylosing spondylitis

OBJECTIVES

Sleep disorders are a common symptom in Ankylosing Spondylitis (AS) patients. In this cross-sectional study, we aimed to understand the current status of sleep disorders in AS patients and to analyze potential factors influencing sleep disorders.

METHODS

A total of 205 AS patients were recruited in the survey. The content included the self-designed demographic data questionnaire, The MOS 36-Item Short Form Health Survey (SF-36), Visual Analogue Scale (VAS), Multidimensional Fatigue Inventory (MF-20), Self-Rating Anxiety and Depression Scale, Pittsburgh Sleep Quality Index questionnaire (PSQI), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI) and Bath Ankylosing Spondylitis Metrology Index (BASMI). These data were analyzed using chi-square test, independent sample t-test, Mann-Whitney U test, Pearson correlation analysis, single-factor linear regression analysis, and multiple linear stepwise regression analysis.

RESULTS

The results showed that the average sleep total score was 8.82 ± 4.146, and the prevalence of sleep disorders was approximately 66.8% in AS patients. Age (F = 29.710, P < 0.001), disease duration (F = 13.025, P < 0.001), anxiety (F = 36.060, P < 0.001), depression (F = 11.808, P < 0.001), and quality of life (t = 6.665, P < 0.001) significantly impacted the sleep total score. Pearson correlation analysis revealed a significant negative correlation between SF-36 total score and sleep total score (r = ‒0.449, P < 0.01), while positive correlations were observed for VAS score, fatigue, anxiety, depression, BASDAI, BASFI, BASMI, age, and disease duration (all P < 0.01). Multivariate analysis showed that age, disease duration, nocturnal pain VAS score, total back pain VAS score, peripheral joint pain VAS score, total fatigue score, total anxiety score, and BASMI total score significantly predicted sleep total score (R² = 0.755, F = 45.334, P < 0.001).

CONCLUSION

These findings suggest that medical professionals should pay increased attention to the observed associations between sleep disorders and clinical factors in AS patients, and consider implementing targeted interventions to address sleep-related issues.

Ankylosing spondylitis is associated with increased prevalence of valvular heart diseases: a cross-sectional population-based study

BACKGROUND

Ankylosing spondylitis (AS) is a chronic inflammatory arthritis primarily affecting the sacroiliac joint and axial skeleton with associated extra-articular involvement including cardiovascular system disease including aortic valve disease with variable reported prevalence. The aim of this study is to determine the prevalence of heart valve disorders in AS patients.

METHODS

This was a retrospective, population-based, cross-sectional study that retrieved data from the Clalit Health Services registry. Cases were defined as having AS, whereas controls were frequency matched by age and sex in a ratio of 5:1. The prevalence of valvular heart diseases was compared between the two groups; a multivariate logistic regression model was applied to estimate the association after controlling for potential confounders.

RESULTS

We included 4082 AS patients and 20 397 controls frequency matched by age and sex. AS patients had a significantly higher prevalence of cardiovascular risk factors (P < .001) and a higher prevalence of valvular heart disease. In the multivariate logistic regression model, adjusting for multiple confounding factors, AS was independently associated with aortic stenosis [odds ratio (OR): 2.25, 95% confidence interval (CI): 1.57-3.23, P < 0.001], aortic insufficiency (OR: 2.44, 95% CI: 1.50-3.94, P < 0.001), and mitral insufficiency (OR: 1.75, 95% CI: 1.17-2.61, P < 0.001) but not mitral stenosis (OR: 1.31, 95% CI: 0.60-2.70, P = 0.47).

CONCLUSIONS

Our study reports the increased risk of valvular heart diseases in patients with AS, possibly due to the inflammatory milieu associated with the disease process and the result of biomechanical stress affecting the enthesis-like valvular structures.

Development and Validation of a Self-Administered Questionnaire Measuring Essential Knowledge in Patients With Axial Spondyloarthritis

OBJECTIVE

To develop and validate a patient knowledge questionnaire regarding axial spondyloarthritis (axSpA).

METHODS

Knowledge considered essential for patients with axSpA was identified through Delphi rounds among rheumatologists, healthcare professionals (HCPs), and patients, then reformulated to develop the knowledge questionnaire. Cross-sectional validation was performed in 14 rheumatology departments to assess internal validity (Kuder-Richardson coefficient), external validity, acceptability, reproducibility (Lin concordance correlation coefficient), and sensitivity to change (knowledge score before vs after patient education sessions and effect size).

RESULTS

The Spondyloarthritis Knowledge Questionnaire (SPAKE) is a self-administered 42-item questionnaire with a 32-item short form, both scored 0 to 100, assessing knowledge of disease, comorbidities, pharmacological treatments, nonpharmacological treatments, self-care, and adaptive skills. In the validation study (130 patients; 67 [51.5%] male, mean age 43.5 [SD 12.9] yrs), the mean (SD) score of the long-form questionnaire was 71.6 (15.4), with higher scores (better knowledge) in nonpharmacological treatments and adaptive skills and lower scores in cardiovascular comorbidity and pharmacological treatments. Acceptability was good, with no missing data; the internal validity coefficient was 0.85. Reproducibility was good (0.81, 95% CI 0.72-0.89). SPAKE showed good sensitivity to change; scores were 69.2 (15.3) then 82.7 (14.0) after patient education sessions (Hedges effect size = 0.92, 95% CI 0.52-1.31).

CONCLUSION

SPAKE is a knowledge questionnaire for patients with axSpA, developed with the involvement of HCPs and patients and reflecting current recommendations for the management of axSpA. SPAKE will be useful in assessing knowledge acquisition and self-management strategies in routine care and research.

Valve Abnormalities, Risk Factors for Heart Valve Disease and Valve Replacement Surgery in Spondyloarthritis. A Systematic Review of the Literature

Objective: Evaluate the evidence on the abnormalities of the aortic root and heart valves, risk and prognostic factors for heart valve disease and valve replacement surgery in spondyloarthritis.

Methods: A systematic literature review was performed using Medline, EMBASE and Cochrane databases until July 2021. Prevalence, incidence, risk and prognostic factors for heart valve disease; dimension, morphology, and pathological abnormalities of the valves were analyzed. Patient characteristics (younger age, history of cardiac disease or longer disease duration) and period of realization were considered for the analysis. The SIGN Approach was used for rating the quality of the evidence of the studies.

Results: In total, 37 out of 555 studies were included. Overall, the level of evidence was low. The incidence of aortic insufficiency was 2.5–3.9‰. Hazard Ratio for aortic insufficiency was 1.8–2.0. Relative risk for aortic valve replacement surgery in ankylosing spondylitis patients was 1.22–1.46. Odds ratio for aortic insufficiency was 1.07 for age and 1.05 for disease duration. Mitral valve abnormalities described were mitral valve prolapse, calcification, and thickening. Aortic valve abnormalities described were calcification, thickening and an echocardiographic “subaortic bump.” Abnormalities of the aorta described were thickening of the wall and aortic root dilatation. The most common microscopic findings were scarring of the adventitia, lymphocytic infiltration, and intimal proliferation.

Conclusions: A higher prevalence and risk of aortic valve disease is observed in patients with ankylosing spondylitis. Studies were heterogeneous and analysis was not adjusted by potential confounders. Most studies did not define accurate outcomes and may have detected small effects as being statistically significant.

Prevalence and factors related to sleep apnoea in ankylosing spondylitis

An increased prevalence of obstructive sleep apnoea (OSA) has been suggested in patients with ankylosing spondylitis (AS) in a few controlled studies. We aimed to study the prevalence of OSA compared to controls and to investigate if disease-related and non-disease-related factors were determinants of OSA in AS patients. One hundred and fifty-five patients with AS were included in the Backbone study, a cross-sectional study that investigates severity and comorbidities in AS. Controls were recruited from the Swedish CArdioPulmonary bioImage Study. To evaluate OSA, the participants were asked to undergo home sleep-monitoring during one night’s sleep. For each AS patient 45–70 years old, four controls were matched for sex, age, weight, and height. OSA was defined as an apnoea-hypopnoea index (AHI) ≥ 5 events/hour. Sixty-three patients with AS were examined with home sleep-monitoring, and 179 controls were matched with 46 patients, 45–70 years. Twenty-two out of 46 (47.8%) patients with AS vs. 91/179 (50.8%) controls had OSA (AHI ≥ 5 events/hour), P = 0.72. No differences in the sleep measurements were noted in AS patients vs. controls. In logistic regression analysis adjusted for age and sex, higher age, higher BMI, and lesser chest expansion were associated with the presence of OSA in the 63 AS patients. In the current study, patients with AS did not have a higher prevalence of OSA compared to matched controls. AS patients with OSA had higher BMI, were older, and had lesser chest expansion because of more severe AS compared to patients without OSA.

Key points
• Patients with ankylosing spondylitis did not have a higher prevalence of obstructive sleep apnoea versus matched controls.
• Patients with ankylosing spondylitis and obstructive sleep apnoea were older and had higher body mass index versus patients without obstructive sleep apnoea.
• Patients with ankylosing spondylitis and obstructive sleep apnoea had lesser chest expansion versus patients without obstructive sleep apnoea.

Comorbidities in rheumatic diseases need special consideration during the COVID-19 pandemic

Comorbidities in rheumatic and musculoskeletal diseases (RMDs) not only increase morbidity and mortality but also confound disease activity, limit drug usage and increase chances of severe infections or drug-associated adverse effects. Most RMDs lead to accelerated atherosclerosis and variable manifestations of the metabolic syndrome. Literature on COVID-19 in patients with RMDs, and the effects of various comorbidities on COVID-19 was reviewed. The initial data of COVID-19 infections in RMDs have not shown an increased risk for severe disease or the use of different immunosuppression. However, there are some emerging data that patients with RMDs and comorbidities may fare worse. Various meta-analyses have reiterated that pre-existing hypertension, cardiovascular disease, stroke, diabetes, chronic kidney disease, heart failure, lung disease or obesity predispose to increased COVID-19 mortality. All these comorbidities are commonly encountered in the various RMDs. Presence of comorbidities in RMDs pose a greater risk than the RMDs themselves. A risk score based on comorbidities in RMDs should be developed to predict severe COVID-19 and death. Additionally, there should be active management of such comorbidities to mitigate these risks. The pandemic must draw our attention towards, and not away from, comorbidities.

Prevalence and impact of comorbidities in axial spondyloarthritis: systematic review and meta-analysis

OBJECTIVES

Comorbidities are common in people with axial spondyloarthritis (axSpA). In this systematic review and meta-analysis, we aimed to: (i) describe the prevalence of commonly reported comorbidities, (ii) compare comorbidities between axSpA and control populations, and (iii) examine the impact of comorbidity burden on axSpA outcomes.

METHODS

We systematically searched Medline, PubMed, Scopus and Web of Science using a predefined protocol in accordance with Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. We excluded studies of only one comorbid condition or a few closely related diseases within one organ system. Where possible, meta-analysis was performed using random-effects models.

RESULTS

A total of 40 studies were included for analysis. 36 studies reported prevalence of comorbidities, amounting to a combined sample size of 119 427 patients. The number of comorbidities studied ranged from 3 to 43. The most prevalent individual comorbidities were hypertension (pooled prevalence 23%), hyperlipidaemia (17%) and obesity (14%). Eleven studies consistently showed higher prevalence of comorbidities in axSpA than controls, particularly large differences were seen for depression [pooled odds ratio (OR) 1.80] and heart failure (OR 1.84). Comorbidities (total number of and individual conditions) were also associated with axSpA disease activity, functional impairment, quality of life, work productivity and mortality.

CONCLUSIONS

Comorbidities are common in axSpA, particularly cardiovascular diseases and risk factors. Most comorbidities were more prevalent in axSpA patients than in control populations. Overall comorbidity burden, and many individual conditions, were associated with axSpA outcomes including worse disease severity, work productivity and mortality.

Ankylosing Spondylitis Is Associated With Risk of New-Onset Obstructive Sleep Apnea: A Nationwide Population-Based Cohort Study

Objectives: Investigating the risk of obstructive sleep apnea(OSA) among ankylosing spondylitis (AS) patients based on administrative healthcare databases.

Methods: We conducted a nationwide cohort study by using the Taiwan National Health Insurance Research Database with 1997–2013 claim records. The AS cohort included 2,210 patients who were newly diagnosed between 2003 and 2013. Randomly selected non-AS controls were matched at a 1:4 ratio. The endpoint was set as OSA occurrence or the end of 2013. Cumulative incidences, hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated after adjusting for age, gender, comorbidities, and co-medication. Multivariate analyses were performed using the Cox proportional hazards model. Due to the violation of the proportionality assumption, landmark analysis was conducted to explore the risk of OSA during specific follow-up periods.

Results: The adjusted HR (aHR) of OSA in the AS group was 2.826 (95% C.I. = 1.727–4.625) compared to the control group. On landmark analysis, aHR was 7.919 (95% C.I. = 3.169–19.792) for the AS group 0–24 months from the index date and decreased to 1.816 (95% C.I. = 0.944–3.494) at ≥ 24 months from the index date. The increased risks of OSA in the AS group compared to the control group were found for both males and females (aHRs were 4.533 and 2.672). On age-stratified analysis, a significant risk only for the 40–59 age group with aHR of 3.913 (95% C.I. = 1.890–8.102).

Conclusions: A higher risk of developing OSA was found among newly diagnosed AS cohort during the maximum 11-year follow-up period, especially within 2 years after newly diagnosed AS and in the 40–59 age group.

Cardiac Manifestations of Seronegative Spondyloarthropathy in a Human Leukocyte Antigen B27-Positive African American Woman: A Case Report With Literature Review

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Valvular heart disease is a complication of seronegative spondyloarthropathy.

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Aortic regurgitation is the most common valvular disease encountered.

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Other cardiac sequelae include mitral regurgitation and conduction disease.

GC-MS-based fecal metabolomics reveals gender-attributed fecal signatures in ankylosing spondylitis

Ankylosing spondylitis (AS) has different clinical features in males and females. Fecal metabolites play significant roles in AS disorders. This study aimed to reveal gender-attributed fecal signatures of AS. Fecal samples from 87 cross-sectional individuals (healthy controls: 20 males, 18 females; AS patients: 26 males, 23 females) were analyzed by gas chromatography-mass spectroscopy (GC-MS). Partial least squares discriminant analysis (PLS-DA) was used to reveal differences in the fecal signatures of AS between males and females. Fecal signatures were defined by the significantly different fecal metabolites between AS patients and healthy individuals. Therefore, different fecal signatures of male and female AS patients were defined as gender-attributed fecal signatures. Male-specific fecal signatures in AS patients were steroid compounds, including cholestan-3-ol, tocopherol, stigmastan-3,5-diene, cholest-3-ene, cholest-4-en-6-one and 1-heptatriacotanol. Female-specific fecal signatures were ergost-5-en-3-ol, acetate and D-myo-Inositol. Gender-attributed fecal signatures of AS further reveal differences between males and females in terms of AS features.

Ankylosing spondylitis: A novel risk factor for atrial fibrillation - A nationwide population-based study

BACKGROUND

Ankylosing spondylitis (AS) is a chronic inflammatory rheumatic disease, associated with a number of cardiovascular diseases. We sought to investigate whether AS increases the risk of atrial fibrillation (AF) in a nationwide population-based study.

METHODS

A total of 14,129 patients newly diagnosed with AS (mean age 41.8 ± 15.3 years, 72% male) were recruited from the Korean National Health Insurance Service database between 2010 and 2014 and followed up for new onset AF. Age- and sex-matched non-AS subjects (1:5, n = 70,645) were selected and compared with the AS patients.

RESULTS

During a mean follow-up of 3.5 years, AF was newly diagnosed in 486 patients (114 patients of the AS group). The AS patients developed AF more frequently than the non-AS subjects (2.32 vs. 1.51 per 1000 person-years). In multivariate Cox regression analysis, AS was an independent risk factor for AF (Hazard ratio [HR] 1.28, 95% confidence interval [1.03-1.58]). The AS with tumor necrosis factor inhibitor (TNFi) therapy group showed higher risk for AF (HR 1.60 [1.02-2.39]). In younger patients of the AS group (patients <40 years old), the risk for AF was three times higher than patients at same age in the non-AS group. AS was an independent risk factor for AF in men, but not in women (HR 1.53 [1.18-1.95]; HR 1.42 [0.94-2.08], respectively).

CONCLUSIONS

AS was an independent risk factor for AF, especially in those under 40 years of age and those administered TNFi. It would be reasonable to screen for AF and stroke prevention in these high-risk patients.