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Record W4206979211 · doi:10.1186/s43166-021-00108-8

A comparative study between rheumatoid arthritis and osteoarthritis regarding association of insomnia with disease status

2022· article· en· W4206979211 on OpenAlexaboutno aff
Rasha M. Fawzy, Samia M. Abdel-Monem, Abdel-Wahab S. El-Brashi, A. A. Mohamed

Bibliographic record

VenueEgyptian Rheumatology and Rehabilitation · 2022
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePhysical therapyInsomniaOsteoarthritisRheumatoid arthritisQuality of life (healthcare)Depression (economics)Sleep disorderBeck Depression InventoryInternal medicineWOMACAnxietyPsychiatryAlternative medicinePathology

Abstract

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Abstract Background Sleep disturbance is closely related to inflammation and pain. Good sleep quality is essential for patients’ psychological and physical states as well as their quality of life. The aim of this study was to detect how insomnia as a major sleep disturbance could add to the disease burden in rheumatoid arthritis (RA) and osteoarthritis patients (OA) and to determine the predictor parameters in each of them in order to orient the rheumatologist to this unnoticed symptom that could adversely affect the patients’ life. This study included: 20 RA patients, 20 primary knee OA patients together with 20 healthy controls. RA disease activity was assessed by the disease activity score (DAS-28). All participants were assessed for sleep disturbances by the Athens Insomnia Scale, quality of life (QoL) using the short form QoL (SF-36 QoL) scale, depression by the Beck depression inventory (BDI), and functional disability by the Health Assessment Questionnaire Disability Index (HAQ-DI). OA patients were assessed by the Knee OA Flare Up Score (KOFUS) and the Western Ontario and McMaster Universities Arthritis Index (WOMAC). Radiological evaluation for RA patients was done by the Simple Erosion Narrowing Score, while the Kellgren and Lawrence (K-L) radiological grading system was used for OA patients. Results Insomnia was found in 75% of the studied RA patients, 25% of the studied OA patients and none of the healthy control with significant difference ( P < 0.001). Significant correlations of the insomnia scale with the number of tender and swollen joints ( r = 0.66, 0.76 respectively and p = 0.001 both), DAS-28 ( r = 0.71, P < 0.001), anti-CCP antibodies titre ( r = 0.53, p = 0.02) and the BDI ( r = 0.65, p = 0.002) among RA patients were found. Correlations among OA patients occurred with morning stiffness duration ( r = 0.69, P = 0.001), number of affected joints ( r = 0.81, P = 0.001), the BDI scale ( r = 0.51, P = 0.02), the WOMAC index ( r = 0.57, P = 0.009), the KOFUS score ( r = 0.76, p < 0.001) and the K-L score ( r = 0.67, P = 0.001). Linear regression analysis indicated that the predictors for insomnia in RA were DAS-28 and the BDI, while in OA were the number of affected joints and the KOFUS score. Conclusions Insomnia is a disease burden especially in RA patients being one of the leading causes of depression and is greatly affected by the disease activity. In general the burden of insomnia is much less in OA except in severe cases with markedly affected joints. Rheumatologists should be aware of this disorder that could affect patients’ health, mood, and functional activity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.258
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2022
Admission routes1
Has abstractyes

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