MENOPAUSE SYMPTOM SEVERITY IN SYSTEMIC LUPUS ERYTHEMATOSUS
Bibliographic record
Abstract
PV138 / #549 Poster Topic: AS17 - Miscellaneous Background/Purpose Systemic lupus erythematosus (SLE) is a complex autoimmune condition with a predominance in females. Pregnancy complications are well studied in SLE, but the effects and treatment of menopause in SLE is not well known. It has been established that due to medications and the condition itself, menopause can occur earlier in SLE and confers an increased risk of osteoporosis and cardiovascular disease compared to the general populations. Type 2 SLE symptoms which include fatigue, reduced cognition, anxiety, depression, and generalized pain can overlap with menopausal symptoms. This can impact functioning and quality of life significantly without inciting a change in SLE therapy because typical medical evaluations focus on Type 1 inflammatory SLE symptoms. There is a lack of information regarding how menopause in SLE may affect the severity and prevalence of Type 2 symptoms. We conducted a survey study of menopause in our SLE cohort and its impact on disease outcomes and functioning. Methods A cross-sectional survey study of patients with 2019 EULAR/ACR SLE and menopause was performed at the Ottawa Hospital. Patients within menopause age range between 40-65 years were recruited. Participation involved completion of a 3-page survey relate to menopause symptoms adapted from the Menopause Specific Quality of Life Questionnaire. We collected data related to patient-reported demographics, social habits, comorbidities, menopause (natural, surgical, or premature), treatments for menopause and menopause symptoms. Menopause symptoms severity was rated on a scale of 0-6, with 6 being extremely bothersome to everyday life. Control participants included those within the same age range without known diagnosis of SLE or other autoimmune disease. Descriptives statistics were applied. Results We have identified 195 patients for recruitment from our SLE cohort. Preliminary results show 55% of participants are Caucasian, 10% are Black and the remainder comprise of Hispanic, Asian and First Nations women. Premenopausal responses accounted for 10% and remained were menopausal at the time of the survey. Vasomotor symptoms, poor memory, fatigue, and aches were the most reported symptoms, overlapping with Type 2 lupus symptoms. Many participants (56%) reported insufficient information and support for their menopausal symptoms. Conclusions At this preliminary stage, we report lupus patients experiencing menopause symptoms that are like type 2 lupus symptoms and can be difficult to manage. We are continuing to collect more survey data to better understand the symptom severity in comparison to non-SLE participants. Identifying gaps in the care of SLE women with menopause will help promote more awareness and advocacy for understanding and addressing these important issues.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".