Impact of Different Levels of Disease Activity in Painful Profile and Quality of Life in People With Rheumatoid Arthritis

ObjectivePatients and physicians commonly differ in their assessments of rheumatoid arthritis (RA) activity. Clinically meaningful discordance thresholds or validation of their ability to predict functional outcomes are lacking. We explored whether an unbiased, person-centred latent profile analysis (LPA) approach could classify cases based on patient global assessment (PtGA) and physician global assessment (MDGA) assessments of RA activity. We further examined whether the LPA groups displayed greater differences in clinical outcomes compared with traditional threshold-based groups. Finally, we evaluated whether LPA yielded higher explanatory power for clinical outcomes.MethodsLPA was performed in 618 patients with established RA from a single centre. A threshold-based discordance definition was used as a comparator, with patients classified into concordant (PtGA–MDGA within ± 3 cm), positively discordant (PtGA–MDGA ≥3 cm) and negatively discordant groups (PtGA–MDGA ≤−3 cm).ResultsLPA yielded five distinct groups: low PtGA/low MDGA (35.9%), moderate PtGA/moderate MDGA (18.6%), high PtGA/high MDGA (14.7%), high PtGA/low MDGA (23.3%) and low PtGA/high MDGA (7.4%). Groups differed across clinical, physical function, pain, fatigue, health-related quality of life, work productivity and activity impairment outcomes (p<0.001). Concordance groups, in particular, displayed marked heterogeneity in outcomes depending on the magnitude of disease activity reported, with the low/low group faring the best (p<0.001). The LPA solution demonstrated superior explanatory power for all outcomes (p<0.001).ConclusionsWe confirmed the validity and advantages of LPA in characterising the relationship between PtGA and MDGA over a conventional threshold-based definition. LPA yielded optimally distinct, clinically meaningful and cohesive groupings, demonstrating superior explanatory power for disease-related outcomes of interest.

show abstract

Latent profile analysis approach to the relationship between patient and physician global assessments of rheumatoid arthritis activity

Karpouzas

Strand

Ormseth

2018

RMD Open

View full text Add to dashboard Cite

show abstract

Diabetes and musculoskeletal disorders-a review

Ghosal¹,

Ghosal²

2020

JDMDC

View full text Add to dashboard Cite

Diabetes mellitus comprises of metabolic diseases that are characterized by elevated levels of blood glucose or hyperglycaemia, which is a result of insulin deficiency, insulin resistance or both. Marked hyperglycaemia causes an increase in morbidity and mortality that are related to macrovascular and microvascular complications. Musculoskeletal disorders seem to occur often in patients who have diabetes. Musculoskeletal pain is a usual occurrence in patients who have diabetes compared to the general population. The aim of this review was to explore and musculoskeletal disorders in diabetes. Diabetes causes significant morbidity and mortality and has been found to have an association with musculoskeletal disorders. A number of studies have found that diabetes has an association with musculoskeletal disorders such as osteoarthritis, rheumatoid arthritis, osteoporosis, fibromyalgia and carpal tunnel syndrome however the reasons underlying them are unclear. This review looks at the effects of diabetes on musculoskeletal disorders and the mechanisms through which diabetes contributes to them, so as to have a better understanding of the impact they may have in patients with diabetes. Further studies are necessary to understand how diabetes correlates with connective tissue metabolism, cytokines and obesity, for better patient care, treatment and prevention.

show abstract

Patients with Rheumatoid Arthritis and Chronic Pain Display Enhanced Alpha Power Density at Rest

Meneses

Queirós

Montoya

et al. 2016

Front. Hum. Neurosci.

View full text Add to dashboard Cite

Patients with chronic pain due to neuropathy or musculoskeletal injury frequently exhibit reduced alpha and increased theta power densities. However, little is known about electrical brain activity and chronic pain in patients with rheumatoid arthritis (RA). For this purpose, we evaluated power densities of spontaneous electroencephalogram (EEG) band frequencies (delta, theta, alpha, and beta) in females with persistent pain due to RA. This was a cross-sectional study of 21 participants with RA and 21 healthy controls (mean age = 47.20; SD = 10.40). EEG was recorded at rest over 5 min with participant's eyes closed. Twenty electrodes were placed over five brain regions (frontal, central, parietal, temporal, and occipital). Significant differences were observed in depression and anxiety with higher scores in RA participants than healthy controls (p = 0.002). Participants with RA exhibited increased average absolute alpha power density in all brain regions when compared to controls [F(1.39) = 6.39, p = 0.016], as well as increased average relative alpha power density [F(1.39) = 5.82, p = 0.021] in all regions, except the frontal region, controlling for depression/anxiety. Absolute theta power density also increased in the frontal, central, and parietal regions for participants with RA when compared to controls [F(1, 39) = 4.51, p = 0.040], controlling for depression/anxiety. Differences were not exhibited on beta and delta absolute and relative power densities. The diffuse increased alpha may suggest a possible neurogenic mechanism for chronic pain in individuals with RA.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Impact of Different Levels of Disease Activity in Painful Profile and Quality of Life in People With Rheumatoid Arthritis

Cited by 3 publications

References 18 publications

Latent profile analysis approach to the relationship between patient and physician global assessments of rheumatoid arthritis activity

Latent profile analysis approach to the relationship between patient and physician global assessments of rheumatoid arthritis activity

Diabetes and musculoskeletal disorders-a review

Patients with Rheumatoid Arthritis and Chronic Pain Display Enhanced Alpha Power Density at Rest

Contact Info

Product

Resources

About