Abstract TP547: Peripheral Blood Indices for Platelet Reactivity and Systemic Inflammation Correlate With Coated-Platelet Trends After Aneurysmal Subarachnoid Hemorrhage
Bibliographic record
Abstract
Introduction: Cerebral micro-thrombosis and neuroinflammation are important mechanisms causing delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage (aSAH). Apart from these local events, aSAH also mounts a systemic inflammatory response that may be reflected through various systemic markers. Mean platelet volume to platelet count (MPV:PLT), platelet count to lymphocyte count ratio (PLR), neutrophil count to lymphocyte count ratio (NLR) are established markers for platelet reactivity and systemic inflammation, respectively. Hypothesis: We assessed if peripheral blood indices (PBI) correlated with an established marker for platelet reactivity, coated-platelets, in predicting DCI after aSAH. Methods: A prospective cohort of 44 patients presenting with varying grades of aSAH were enrolled to assess coated-platelet levels in predicting DCI. Non-linear regression analysis was performed to assess the association correlation between coated-platelets and PBI trends in predicting DCI. Results: Twenty-nine (65.9%) of the enrolled patients developed DCI, and a higher rise in coated-platelets from patient’s baseline predicted development of DCI. Using non-linear regression models MPV:PLT showed a rise in ratio during the first 3 days followed by progressive decline. In contrast, PLR and NLR showed initial declines in their respective ratios until 4.2 and 5.8 days respectively followed by a gradual rise. Although slope differences for patients developing DCI as compared to those without DCI for MPV:PLT showed a trend towards significance (p=0.06), intergroup difference for PLR or NLR was not statistically significant. However, a significant relationship between MPV:PLT and coated-platelets (p<0.0001) was observed: with every unit rise in MPV:PLT ratio, coated-platelet levels increased by 0.04%. Similarly, a significant relationship was observed between PLR and coated-platelets (p=0.0001), with every unit rise in PLR, coated-platelets decreased by 2.06%. Conclusion: An early rise in MPV:PLT ratio with corresponding parallel rise in coated-platelet levels allude to presence of prothrombotic factors after aSAH. Also, a fall in PLR and NLR suggest a possible immunosuppressed state during the early phase after aSAH.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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; 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".