Predicting Functional Outcome After Intra-Arterial Thrombolysis: Aspects of ASPECTS
Bibliographic record
Abstract
To the Editor:I read with great interest the article by Dr Hill and colleagues about using the ASPECTS score in patients who received intra-arterial thrombolysis.1,2 ASPECTS is a validated score that identifies those patients with acute stroke who can benefit from intravenous thrombolysis.It assesses 10 regions of the brain on the CT scans and assigns a score of 1 for a normal region and 0 for an area showing signs of ischemia.2,3 In addition, ASPECTS also helps predict the risk of intracerebral hemorrhage (ORϭ14; CI 1.8 to 117). 2 This time, the authors assessed the baseline and 24-hour CT scans of patients enrolled in the PROACT II study using the ASPECTS score. 1 PROACT II was a clinical trial that randomized acute stroke patients with documented middle cerebral artery (MCA) occlusion, Ͻ6 hours of symptoms onset, to receive 9 mg intra-arterial recombinant pro-urokinase (r-proUK) plus heparin or heparin alone.In summary, Dr Hill and his colleagues evaluated if ASPECTS could predict the benefit from the treatment with intra-arterial thrombolysis.The authors compared the risk ratios for outcomes between proUK versus control groups stratified by a baseline ASPECTS score (Ͼ7 and Ͻ7).They defined primary (modified Rankin Scale [mRS] scoreϭ0 to 2) and secondary outcomes (mRSϭ0 to 1, NIHSS scoreϭ0 to 1, Barthel Indexϭ0 to 1, mortality rate), as in their former article.3 They found a statistically significant difference exclusively in the primary outcome between the treatment and control groups, only in those patients with ASPECTS Ͼ7.They stated that "the results from the present study support the concept that the use of ASPECTS can identify stroke patients with MCA occlusion who will receive particular benefit from intra-arterial thrombolysis."ASPECTS is a useful tool with practical implications in the decision whether to give intravenous tissue plasminogen activator.However, it has limitations.First, (1) it applies only to specific areas of the brain.As the authors stated, this score is not applicable to lacunar strokes, ischemic changes in the anterior and posterior cerebral arteries, or brain stem infarctions.(2) The thrombolytic drug used in PROACT II was r-proUK.This drug has not been approved by the FDA and is not available for clinical use. 4 Second, subgroup analyses are prone to bias.
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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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".