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Record W4391447528 · doi:10.1161/str.55.suppl_1.wp172

Abstract WP172: A Novel Score to Predict Early Time From Symptom Onset to Hospital Arrival in Patients With Intracerebral Hemorrhage

2024· article· en· W4391447528 on OpenAlexaff
Pargol Balali, Andrea Morotti, Raed A. Joundi, Aristeidis H. Katsanos, Luciana Catanese, Vasileios Lioutas, Filipa Carvalho, Elizabeth Heistand, Mukul A Sharma, Magdy Selim, Ashkan Shoamanesh

Bibliographic record

VenueStroke · 2024
Typearticle
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineIntracerebral hemorrhageGlasgow Coma ScaleLogistic regressionOdds ratioRed blood cell distribution widthStroke (engine)Internal medicineAnesthesia

Abstract

fetched live from OpenAlex

Introduction: Up to 40% of ICH patients have unknown onset time, leading to uncertainty regarding the use of hyperacute ICH treatments and their exclusion from acute ICH treatment trials. We aimed to develop a prediction score that can reliably identify ICH patients presenting within 3 hours of symptom onset. Methods: Spontaneous ICH patients participating in the iDEF trial with available prerequisite data were analyzed. A stepwise multivariable logistic regression model was used to determine predictors of early presentation (symptom onset-to-baseline CT scan time ≤3 hours) with a p-value < 0.15. To develop the prediction score, we allocated scores proportional to the standardized odds ratio (OR) of each binary variable. Continuous variables were dichotomized using the lowest threshold above which there was no additional gain in the positive predictive value (PPV) for early presentation. Results: Of 291 iDEF participants, 132 (45%) presented early. Baseline NIHSS (OR 1.05 per 1-score increase; 95% CI, 0.99-1.11), Glasgow Coma Scale (1.18 per 1-score increase; 1.01-1.39), ICH volume (1.17 per 10-ml increase; 0.98-1.39), absolute perihematomal edema volume (0.81 per 10-ml increase; 0.66-1.00), irregular hematoma shape (2.24; 1.12-4.48), blend sign (0.45; 0.21-0.97), white blood cell count (0.89 per 10 3 cell/ml increase; 0.82-0.96), and blood glucose levels (0.91 per mmol/l increase; 0.82-0.99) were associated with early presentation (c-statistic=0.71). The PPV for an early ICH presentation score (Figure) of >7 was 69%. Conclusion: This novel early ICH presentation score using readily available clinical, neuroimaging, and laboratory data has good performance for identification of ICH patients presenting within 3 hours of symptom onset. If validated in external datasets, the early ICH presentation score can be used to improve recruitment feasibility in acute ICH trials and support clinical decision-making in ICH patients with an unknown symptom onset time.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.007
GPT teacher head0.233
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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