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Record W4319656507 · doi:10.1161/strokeaha.121.038475

Time Course of Early Hematoma Expansion in Acute Spot-Sign Positive Intracerebral Hemorrhage: Prespecified Analysis of the SPOTLIGHT Randomized Clinical Trial

2023· article· en· W4319656507 on OpenAlexafffund
Fahad Al-Ajlan, David J. Gladstone, Dongbeom Song, Kevin E. Thorpe, Richard H. Swartz, Kenneth Butcher, Martín del Campo, Dar Dowlatshahi, Henrik Gensicke, Gloria Jooyoung Lee, Matthew L. Flaherty, Michael D. Hill, Richard I. Aviv, Andrew M. Demchuk, Karl Boyle, Maria Braganza, Nadia Fedasko, D Golob, Edith Bardi, Samantha Senyshyn, Megan L. Cayley, Connie Colavecchia, Shelagh B. Coutts, Gary Klein, Bijoy K. Menon, Tim Watson, Eric E. Smith, Suresh Subramaniam, Simerpreet Bal, Philip A. Barber, Marie‐Christine Camden, Myles Horton, Sachin Mishra, Vivek Nambiar, Andres Venegas Torres, Sweta Adatia, A Alseraya, Jamsheed A. Desai, Jennifer Mandzia, Michel Shamy, Anurag Trivedi, Philip Choi, Véronique Dubuc, Evgenia Klourfeld, Thalia S. Field, Dilip Singh, Tapuwa Musuka, Sarah Bloujney, Davar Nikneshan, Oje Imoukhuede, Amy Yu, Ramana Appireddy, J. Grimley Evans, Karla J. Ryckborst, Carly Calvert, Grant Stotts, Mukul Sharma, Sohail Robert, Melodie Mortensen, Rany Shamloul, Frank L. Silver, Leanne K. Casaubon, Cheryl Jaigobin, Yaël Perez, Libby Kalman, Jemini Abraham, R Wiegner, Anne Cayley, Victoria Riediger, Mahesh Kate, Thomas Jeerakathil, Ashfaq Shuaib, Sylvia Gaucher, Leka Sivakumar, Samuel Yip, Philip Teal, Andrew R. Woolfenden, Oscar Benavente, Jeff Beckman, Colleen Murphy, Negar Asdaghi, Karina Villaluna-MurrVay, Demetrios J. Sahlas, Almunder Algird, Jordan Knapman, S. Macmillan, Janice Sancan, Manu Mehdiratta, Verity John, AlNoor Dhanani, Bryan Temple, André G. Douen, Daniel Selchen, Gustavo Saposnik, Pawel Kostyrko, Richard Chan, Bryan D. Young, Balagopal Kumar, Peter Sörös, K Hesser, Mary Wright, C. Frank, Belinda Amato-Marziali, Yan Deschaintre, Alexandre Y. Poppe, Marlène Lapierre, Jean-Martin Boulanger, Léo Berger, Lise Blais, Christel Simard, Jeanne Teitelbaum, Natasha Campbell, Al Jin, Adriana Breen, Suzanne Bickford

Bibliographic record

VenueStroke · 2023
Typearticle
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsOttawa HospitalUniversity of OttawaSt. Michael's HospitalUniversity of CalgaryHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
FundersCanadian Institutes of Health ResearchOntario Ministry of Research and InnovationOntario Stroke Network
KeywordsMedicineIntracerebral hemorrhageRandomized controlled trialHematomaStroke (engine)Brain hemorrhageSurgeryNeurosurgerySubarachnoid hemorrhage

Abstract

fetched live from OpenAlex

Background: In the SPOTLIGHT trial (Spot Sign Selection of Intracerebral Hemorrhage to Guide Hemostatic Therapy), patients with a computed tomography (CT) angiography spot-sign positive acute intracerebral hemorrhage were randomized to rFVIIa (recombinant activated factor VIIa; 80 μg/kg) or placebo within 6 hours of onset, aiming to limit hematoma expansion. Administration of rFVIIa did not significantly reduce hematoma expansion. In this prespecified analysis, we aimed to investigate the impact of delays from baseline imaging to study drug administration on hematoma expansion. Methods: Hematoma volumes were measured on the baseline CT, early post-dose CT, and 24 hours CT scans. Total hematoma volume (intracerebral hemorrhage+intraventricular hemorrhage) change between the 3 scans was calculated as an estimate of how much hematoma expansion occurred before and after studying drug administration. Results: Of the 50 patients included in the trial, 44 had an early post-dose CT scan. Median time (interquartile range) from onset to baseline CT was 1.4 hours (1.2–2.6). Median time from baseline CT to study drug was 62.5 (55–80) minutes, and from study drug to early post-dose CT was 19 (14.5–30) minutes. Median (interquartile range) total hematoma volume increased from baseline CT to early post-dose CT by 10.0 mL (−0.7 to 18.5) in the rFVIIa arm and 5.4 mL (1.8–8.3) in the placebo arm ( P =0.96). Median volume change between the early post-dose CT and follow-up scan was 0.6 mL (−2.6 to 8.3) in the rFVIIa arm and 0.7 mL (−1.6 to 2.1) in the placebo arm ( P =0.98). Total hematoma volume decreased between the early post-dose CT and 24-hour scan in 44.2% of cases (rFVIIa 38.9% and placebo 48%). The adjusted hematoma growth in volume immediately post dose for FVIIa was 0.998 times that of placebo ([95% CI, 0.71–1.43]; P =0.99). The hourly growth in FFVIIa was 0.998 times that for placebo ([95% CI, 0.994–1.003]; P =0.50; Table 3). Conclusions: In the SPOTLIGHT trial, the adjusted hematoma volume growth was not associated with Factor VIIa treatment. Most hematoma expansion occurred between the baseline CT and the early post-dose CT, limiting any potential treatment effect of hemostatic therapy. Future hemostatic trials must treat intracerebral hemorrhage patients earlier from onset, with minimal delay between baseline CT and drug administration. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01359202.

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)0.009
metaresearch head score (Gemma)0.014
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.026
GPT teacher head0.348
Teacher spread0.322 · 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

Citations17
Published2023
Admission routes2
Has abstractyes

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