Abstract WMP67: Circadian Variation In Collateral Status: The HERMES Collaboration
Bibliographic record
Abstract
Background: Prior studies have demonstrated that the incidence of stroke and rate of infarct progression varies across the 24-hour cycle and that circadian rhythm is associated with the brain’s response to reperfusion and neuroprotection. However, the pathophysiology of this variation is poorly understood. In this study we assessed changes in collateral status with time of day as a possible mechanism behind this variation. Methods: Using data from the 7 randomized EVT trials in the HERMES collaboration, patients with analyzable baseline CT angiograms were selected. Presenting collateral status on CTAs was rated using the Regional Collateral Score (rCS). The effect of time of onset (last known well) and time of scan on collateral status was assessed. Time of day was analyzed as: 1) binary day-night (23:00–06:59/07:00–22:59); 2) 4-hour intervals (23:00–02:59/03:00–06:59/07:00–10:59/11:00–14:59/15:00–18:59/19:00–22:59) and 3) a continuous variable as per Consortium International pour la Recherche Circadienne sur l’AVC recommendations. Results: Among 1250 patients with LVOs, 1086 (86.9%) had daytime and 164 (13.1%) had night-time stroke onset. Baseline demographic and clinical features of patients that differed (Table 1) were night-time onset patients were younger (62.0 vs 67.1 years), less often had highly severe (NIHSS>16) deficits (43.6% vs 56.3%), had longer onset-to-arrival (186 vs 122 minutes), and longer onset-to-imaging (218 vs 159 minutes). In multivariable analysis, categorizing based on last known well time, there were no significant difference in rCS score by night vs day (7.5±2.0 vs 7.4±2.3 p=0.99) or by 4-hour intervals (7.8±1.9 vs 7.3±2.1 vs 7.4±2.2 vs 7.5±2.2 vs 7.5±2.3 vs 7.1±2.4 p=0.24) (Figure 1). Similarly, categorizing by scan time, there were no significant differences in rCS score by night vs day (7.3±2.3 vs 7.4±2.2 p=0.60) or by 4-hour intervals (7.2±2.4 vs 7.6±2.0 vs 7.3±2.2 vs 7.4±2.1 vs 7.5±2.3 vs 7.6±2.3 p=0.22) (Figure 1). The relationship between continuous time and rCS mapped by LOESS regression also did not indicate substantial rCS variation with time of onset (Figure 2). Conclusion: Our study does not demonstrate a strong relationship between time of day and regional collateral score. This was at least partially driven by a ceiling effect as most patients had good collateral scores. Further studies to identify patient and imaging characteristics that may explain the relationship between circadian variation of stroke outcomes are needed.
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 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 | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".