Abstract TP161: Sexual Dysfunction in Mild Stroke
Bibliographic record
Abstract
Background: Stroke impacts several aspects of patients’ lives and sexual dysfunction post stroke has been reported in 40%-50% of patients. Current investigations have revealed links to depression, however this has not been examined specifically in mild stroke. Objective: To determine prevalence and factors associated with sexual dysfunction after mild stroke Design/methods: A retrospective study was conducted on a self-report questionnaire completed by a convenience sample of patients during a hospital follow-up appointment in the stroke clinic. Patients were asked about sexual dysfunction after stroke and if yes, to specify the cause: safety concern, physical limitation, consequence or change in libido. In addition, patients completed a PHQ-9 to measure depression, Fatigue Assessment Scale (FAS), and the Montreal Cognitive Assessment (MoCA). A thorough review of clinical history including NIHSS, mRS and demographics was completed by researchers. Descriptive statistics were used to identify and understand the patient population. Mild stroke was defined as NIHSS ≤ 5. Results: In our study of 135 patients, 21 (16%) did not respond to the sexual dysfunction question. Of the 114 who responded, only 11 (9.6%) reported sexual dysfunction and 9 (81%) attributed their sexual dysfunction to physical limitations. Descriptive statistics of the respondent subgroup indicate that the cohort was 59% male with a median (IQR) age of 64 (57,75) and that 52% were living with someone at the time. The mean NIHSS on discharge was 1 (IQR 0-3) and 77% were ischemic strokes. Few patients experienced post stroke depression (21.9%, N=25), and the cohort reported low levels of fatigue (median FAS=19). Low incidence and response rates precluded an analysis of specific predictors in this cohort. Conclusion: Physical limitations are reported to be the main cause of post stroke sexual dysfunction. Roughly 1 in 10 patients with mild stroke reported experiencing sexual dysfunction, however twice as many did not respond to the question. Therefore, the true incidence is unclear, prompting the need for further investigation on post stroke sexual dysfunction in mild stroke.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.001 | 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; both teacher heads agree on what is shown here.
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".