Sexual Quality of Life in Patients with Axial Spondyloarthritis in the Biologic Treatment Era
Bibliographic record
Abstract
OBJECTIVE: To examine the relationship between demographics, disease-related variables, treatment, and sexual quality of life (SQOL) in men and women with axial spondyloarthritis (axSpA). METHODS: AxSpA patients were consecutively recruited from 2 rheumatology outpatient clinics in southern Norway. A broad spectrum of demographics, disease, treatment, and QOL data were systematically collected. SQOL was assessed using the SQOL-Female (SQOL-F) questionnaire (score range 18-108). Appropriate statistical tests were applied for group comparison, and the association between independent variables and SQOL-F was examined using multiple linear regression analysis. RESULTS: A total of 360 (240 men, 120 women) axSpA patients with mean age 45.5 years and disease duration 13.9 years were included. Seventy-eight percent were married/cohabiting, 26.7% were current smokers, 71.0% were employed, 86.0% performed > 1-h exercise per week, and 88.0% were HLA-B27-positive. Mean (SD) values for disease measures were C-reactive protein (CRP) 8.5 (12.1) mg/l, Bath Ankylosing Spondylitis Disease Activity Index 3.1 (2.1), Bath Ankylosing Spondylitis Global Score (BAS-G) 3.8 (2.5), Bath Ankylosing Spondylitis Functional Index 2.7 (2.2), and Health Assessment Questionnaire 0.6 (0.5). The proportion of patients using nonsteroidal antiinflammatory drugs was 44.0%, synthetic disease-modifying antirheumatic drugs (DMARD) 5.0%, and biologic DMARD 24.0%. Mean (SD) total sum score for SQOL was 76.6 (11.3). In multivariate analysis, female sex, increased body mass index, measures reflecting disease activity (BAS-G and CRP), and current biologic treatment were independently associated with a lower SQOL. CONCLUSION: Our data suggest that inflammation in patients with axSpA even in the biologic treatment era reduces SQOL.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".