Do Rheumatoid Arthritis Patients Have a Higher Risk for Sleep Apnea?
Bibliographic record
Abstract
OBJECTIVE: Patients with rheumatoid arthritis (RA) have an increased risk for developing cardiovascular disease (CVD) compared to subjects in the general population. The development of CVD has also been linked to chronic sleep apnea. The purpose of this study was to examine the risk for sleep apnea in patients with RA compared to subjects without RA. METHODS: We recruited RA patients and non-RA subjects who were age and sex matched from the same population. These persons completed the Berlin Sleep Questionnaire, which evaluated their level of risk (high or low) for sleep apnea. In addition, there were 3 subscales evaluating snoring, fatigue, and relevant comorbidities [i.e., high blood pressure and obesity [body mass index (BMI) > or = 30 kg/m(2))]. Chi-squared tests were used for comparisons. RESULTS: The study population consisted of 164 patients with RA and 328 patients without RA. Age, sex and BMI were similar for both groups. There was no difference in snoring (p = 0.31) or in the comorbidities subscale (p = 0.37). However, RA patients reported more fatigue (38%) than subjects without RA (13%; p < 0.001). Overall, the risk for sleep apnea was significantly higher for the RA patients (50%) than the non-RA subjects (31%; p < 0.001). CONCLUSION: Patients with RA may be at a higher risk for sleep apnea compared to non-RA subjects. This apparent risk difference may be attributed to reports of fatigue in RA patients, which may be associated with sleep apnea or RA disease itself.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".