Sex differences in etiology and short-term outcome in young ischemic stroke patients receiving mechanical thrombectomy
Bibliographic record
Abstract
BACKGROUND: Although there are well known sex differences in older patients with ischemic stroke receiving acute reperfusion treatments, there is paucity of data in younger patients. METHODS: We investigated sex-related differences in clinical presentation, stroke etiology and short-term outcomes in consecutive young patients with acute ischemic stroke (AIS) below the age of 50 years receiving mechanical thrombectomy (MT) between January 2011 and May 2021 in a tertiary stroke center. RESULTS: We identified a total of 202 young ischemic stroke patients with MT, with 51% being female. Young female AIS patients were significantly younger (39 ± 8 vs. 43 ± 7 years, p < 0.001), and presented with a trend for more severe stroke on admission (median NIHSS 12 vs. 9, p = 0.065), compared to males, respectively. Young female AIS patients had higher rates of embolic strokes of determined or undetermined sources in the anterior circulation, while young male AIS patients suffered more often strokes of arterio-arterial embolism. Complete reperfusion (TICI score 3) was achieved significantly less often in young female AIS patients (69% vs. 83%, p = 0.006), and in-hospital mortality was 2-times higher (5% vs. 2%, p = 0.271) compared to males. CONCLUSIONS: Young female AIS patients receiving MT have higher rates of severe embolic strokes and less often complete reperfusion due to different occlusion sites and stroke etiology compared to males.
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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 | 0.000 |
| 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 | 0.000 |
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".