Stroke Prenotification Is Associated with Shorter Treatment Times for Warfarin-Associated Intracerebral Hemorrhage
Bibliographic record
Abstract
BACKGROUND: Warfarin-associated intracerebral hemorrhage (WAICH) is a devastating disease with increasing incidence. In this setting, treatment with prothrombin complex concentrates (PCC) is essential to correct coagulopathy. Yet despite the availability of coagulopathy correction strategies, significant treatment delays can occur in emergency departments (EDs), which may be overcome using stroke prenotification strategies. To explore this, we compared arrival-to-treatment times with PCC for WAICH between two different stroke response systems that used the same international normalized ratio (INR) correction protocol. METHODS: We established a registry of consecutive patients presenting with WAICH and treated with PCC presenting to two Canadian tertiary-care academic stroke centers: one with a stroke prenotification system, and one with a traditional ED assessment, treatment and referral system. In this comparative cohort design, we defined the WAICH diagnosis time as the earliest time point where both INR and CT were available. We compared median times from arrival to treatment, as well as arrival to diagnosis, and diagnosis to treatment. RESULTS: Between 2008 and 2010, we collected data from 123 consecutive patients with intracranial hemorrhage who received PCC for INR correction (79 from ED referral, and 44 prenotification). Onset-to-arrival times, demographics, Glasgow Coma Scale scores, and baseline INR were similar between the two systems. Arrival-to-treatment times were significantly shorter in the prenotification system as compared to the traditional ED referral system (135 vs. 267 min; p = 0.001), which was driven by both decreased arrival-to-diagnosis time (49 vs. 117 min; p = 0.006), as well as decreased diagnosis-to-treatment time (56 vs. 112 min; p < 0.001). Arrival-to-scan times and arrival-to-INR times were similarly shorter in the prenotification system (68 vs. 118 min and 20.5 vs. 47 min, respectively). CONCLUSION: Stroke prenotification was associated with shorter arrival-to-treatment times for emergent INR correction in patients with WAICH, which was driven by both faster diagnosis and treatment. Our results are consistent with those seen in ischemic stroke, suggesting that prenotification systems present an opportunity to optimize acute intracerebral hemorrhage therapy.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".