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Record W4210668273 · doi:10.1161/str.53.suppl_1.wp120

Abstract WP120: Can Early Transcranial Doppler Ultrasound Predict Early Neurological Deterioration And Risk Of Hemorrhagic Transformation After Endovascular Treatment?

2022· article· en· W4210668273 on OpenAlexaff
Reza Bavarsad Shahripour, Mahmoud Reza Azarpazhooh, Jason Tarpley, Kunal Agrawal, Royya Modir, Brett C. Meyer, Thomas Hemmen, Dawn Meyer

Bibliographic record

VenueStroke · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineTranscranial DopplerModified Rankin ScaleStroke (engine)CardiologyCollateral circulationIntracerebral hemorrhageBlood flowInternal medicineRadiologySurgeryIschemic strokeIschemiaSubarachnoid hemorrhage

Abstract

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Background: Recent advances in endovascular therapy (EVT) have led to a significant improvement in functional outcomes of patients with stroke. However, early neurological deterioration (END) after EVT has still remained a concerning issue. Reasons for END include reocclusion, hyperperfusion after recanalization, and hemorrhagic transformation. The current study was designed to assess the feasibility of early transcranial Doppler (TCD) after EVT, to identify association between TCD findings and END. Methods: This is a pilot study to assess the feasibility of TCD prior and early (within 60 minutes) after EVT. For all selected arteries, we measured peak systolic velocity, end diastolic velocity, mean flow velocity and pulsatility index. Patients were followed for three months after the intervention and disability was measured using modified Rankin scale (mRS). We examined the possible association between active leptomeningeal collateral flow after EVT and END. Results: Between October 16, 2020, and March 28, 2021, we recruited 20 acute ischemic stroke patients with large vessel occlusion who underwent EVT. Five patients were excluded because of a poor temporal window; two had an unsuccessful intervention. Four patients had END and all of them had active leptomeningeal flow with elevated blood pressure after EVT. In cases without END, we did not observe any flow diversion or active leptomeningeal collateral after EVT.In those without significant post-stroke disability (mRS<2), we did not observe any active leptomeningeal flow or flow diversion with blood pressure of ≤ 155/85. Most patients with post-stroke disability (mRS ≥ 2) had either flow diversion or active leptomeningeal flow in the presence of blood pressure ≥ 170/93. Hyperemia was associated with hemorrhagic transformation, particularly in the presence of elevated blood pressure. All cases with symptomatic hemorrhagic transformation had hyperemia. Conclusion: TCD is a feasible approach early after EVT. It has clinical implications in identifying those with END and risk for sICH. Early TCD after EVT may provide personalized BP management based on individualized cerebral flow and the presence of active collateral flow after EVT. Studies with larger sample size are warranted.

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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)0.001
metaresearch head score (Gemma)0.004
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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.008
GPT teacher head0.210
Teacher spread0.202 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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