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Record W4413436594 · doi:10.1177/17562864251360913

Platelet inhibition strategies in rescue stenting after failed thrombectomy: a large retrospective multicenter registry

2025· article· en· W4413436594 on OpenAlexaff
Aikaterini Anastasiou, Alex Brehm, Johannes Kaesmacher, Adnan Mujanović, Marta de Dios Lascuevas, Tomás Carmona Fuentes, Alfonso López‐Frías, B Valverde, Ansgar Berlis, Christoph J. Maurer, Thanh N. Nguyen, Mohamad Abdalkader, Piers Klein, Guillaume Thévoz, Patrik Michel, Bruno Bartolini, Marius Kaschner, Daniel J. Weiss, Andrea Alexandre, Alessandro Pedicelli, Paolo Machi, Gianmarco Bernava, Shuntaro Kuwahara, Kazutaka Uchida, Jason Wenderoth, Anirudh Joshi, Grzegorz Marek Karwacki, Manuel Bolognese, Agostino Tessitore, Sergio Lucio Vinci, Amedeo Cervo, Claudia Rollo, Ferdinand Hui, Aaisha Mozumder, Daniele Romano, Giulia Frauenfelder, Nitin Goyal, Vivek Batra, Violiza Inoa, Christophe Cognard, Matúš Hoferica, Riitta Rautio, Daniel Kaiser, Johannes Gerber, Julian Clarke, Michael R. Levitt, Ahmed E. Othman, Luca Scarcia, Erwah Kalsoum, Diana Melância, Diana Aguiar de Sousa, Maria Porzia Ganimede, Vittorio Semeraro, Flavio Giordano, Massimo Muto, Aristeidis H. Katsanos, Umesh Bonala, Anil M. Tuladhar, Sjoerd F.M. Jenniskens, Victoria Hellstern, Ilka Kleffner, Paolo Remida, Susanna Diamanti, Leonardo Renieri, Elena Ballabio, Luca Valvassori, Nikki Rommers, Mira Katan, Victor Schulze-Zachau, Marios‐Nikos Psychogios

Bibliographic record

VenueTherapeutic Advances in Neurological Disorders · 2025
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
FundersFreiwillige Akademische Gesellschaft
KeywordsMedicineRetrospective cohort studyIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Background: Rescue stenting (RS) is a bailout strategy for failed thrombectomy. Optimal platelet inhibition strategy after RS remains unclear. Objectives: We aimed to describe and compare different platelet inhibition strategies during/after RS. Design: Retrospective cohort study across 34 international centers. Methods: Patients with large vessel occlusion and RS after failed thrombectomy (2019–2023) were included. Periprocedural and postprocedural platelet inhibition strategies were described and compared, focusing on glycoprotein IIb/IIIa (GPIIb/IIIa) inhibitors, single antiplatelet therapy (SAPT), and dual antiplatelet therapy (DAPT). We assessed the effects of platelet inhibition strategy and potentially covariates on the primary outcome of 90-day modified Rankin Scale (mRS) using ordinal shift analysis with proportional odds models. Results: RS was performed in 589 patients (mean age 67.9 years, 60.8% male). Numerous combinations of platelet inhibitors were administered. Periprocedural GPIIb/IIIa inhibitors were used in 61.5% of patients. Postprocedural DAPT was administered to 80.5% and SAPT to 13.3%. Functional independence (mRS 0–2) was achieved in 40.7%, while 26.3% died within 90 days. Stent occlusion occurred in 20.5%, with 67.6% of these occlusions within 24 h. Postprocedural stent-occlusion was independently associated with worse functional outcome at 90 days (OR 4.1, 95% CI 2.3–7.2, p < 0.001). No significant association between periprocedural GPIIb/IIIa inhibitors, and 90-day mRS or stent occlusion was found. Postprocedural SAPT was associated with worse functional outcomes (adjusted odds ratio (aOR) 2.4, 95% CI 1.1–5.0, p = 0.02), higher mortality (aOR 2.1, 95% CI 1.05–4.0, p = 0.03), and increased stent occlusion rates (aOR 4.8, 95% CI 2.3–9.7, p < 0.001) compared to postprocedural DAPT. Symptomatic intracranial hemorrhage occurred in 6.8% of patients, with no significant difference between antiplatelet regimens. Conclusion: Extensive heterogeneity exists in platelet inhibition strategies following RS. Stent occlusion is associated with worse clinical outcomes, and the first 24 h post-RS are critical for stent patency. Compared to SAPT, DAPT was associated with better functional outcome, lower mortality, and lower stent occlusion rates.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.033
Threshold uncertainty score0.897

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.277
Teacher spread0.271 · 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 teacher head, 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".

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Citations2
Published2025
Admission routes1
Has abstractyes

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