P-024 Balloon guide catheter use for stroke intervention: does the access site matter?
Bibliographic record
Abstract
<h3>Introduction</h3> Previous studies suggested that patients treated with MT via transradial approach (TRA) had inferior angiographic and clinical outcomes due to non-use of balloon guide catheters (BGCs). Therefore, we described the sheathless TRA (sTRA) technique, which allows the use of BGC through the radial artery. In this study, we evaluate MT via TFA and sTRA, aiming to compare the angiographic and clinical outcomes of patients treated with each approach. <h3>Methods</h3> Retrospective MT database analysis from December 2020 and January 2021. Inclusion criteria were 1) ≥18-year-old; 2) internal carotid artery, M1, M2 occlusion; 3) Alberta Stroke Program Early Computed Tomography Score ≥6; 4) Pre-stroke modified Rankin Scale (mRS) ≤2; 5) use of an inflated Walrus balloon-guide catheter (BGC) during clot retrieval through either TFA or sTRA. Demographics, procedural information, and clinical outcomes at 90-days were extracted. First pass effect (FPE) and modified FPE (mFPE) were defined as mTICI≥2b and mTICI≥2c, respectively, within single-pass without need for rescue-therapy. Functional independence and poor outcome were defined as mRS≤2 and mRS>2 at 90-days, respectively. <h3>Results</h3> Ninety-three patients (TRA, 34 vs TFA 59) were included. The groups were similar regarding age, sex, hypertension, hyperlipidemia, diabetes, and atrial fibrillation, NIHSS at admission, administration of intravenous alteplase, and occlusion location (<b>table 1</b>). Times from last known well to puncture and from puncture to recanalization were not significantly different between the groups (<b>table 1</b>). Crossover rate was significantly higher in the TRA (11.8%) than in the TFA (0%) group (<b>P=0.016</b>). There were no differences between the groups regarding stent-retriever alone, aspiration alone or combined technique as first approach (<b>table 1</b>). The rates of FPE and mFPE were not significantly different between the groups. There were no differences in the rates of PH2, median length of hospital stays, or in-hospital mortality between TRA and TFA. At 90-days, the rates of functional independence and mortality were not significantly different between the groups. Univariable logistic regression identified age, NIHSS at admission, and length of hospital stay as predictors of poor outcome, while mFPE had significantly lower odds of poor outcome (<b>table 2</b>). Multivariable regression including these variables identified NIHSS at admission as predictor of poor outcome and mFPE as reduced odds of poor outcome (<b>table 2</b>). <h3>Conclusions</h3> Patients treated with MT via TFA or sTRA had similar angiographic and clinical outcomes, differing only in the rate of crossover from one approach to another. <h3>Disclosures</h3> <b>M. Waqas:</b> None. <b>A. Monteiro:</b> None. <b>J. Cappuzzo:</b> None. <b>R. Dossani:</b> None. <b>F. Almayman:</b> None. <b>W. Metcalf-Doetsch:</b> None. <b>K. Snyder:</b> 2; C; Boston Scientific, Canon Medical Systems USA, Inc., MicroVention, Medtronic, Stryker Neurovascular.. 3; C; Canon Medical Systems USA. 4; C; Boston Scientific, Access Closure Inc, Niagara Gorge Medical. <b>J. Davies:</b> 1; C; NIH NINDS, NSF SBIR. 2; C; Medtronic. 4; C; Synchron, Cerebrotech, QAS.ai, RIST. <b>A. Siddiqui:</b> 2; C; Amnis Therapeutics, Apellis Pharmaceuticals, Inc., Boston Scientific, Canon Medical Systems USA, Inc., Cardinal Health 200, LLC, Cerebrotech Medical Systems, Inc., Cerenovus, Cerevatech Medical, Inc.,. 4; C; Adona Medical, Inc., Amnis Therapeutics, Bend IT Technologies, Ltd., BlinkTBI, Inc, Buffalo Technology Partners, Inc., Cardinal Consultants, LLC, Cerebrotech Medical Systems, Inc, Cerevatech Medical,. <b>E. Levy:</b> 2; C; Claret Medical, GLG Consulting, Guidepoint Global, Imperial Care, Medtronic, Rebound, StimMed, Misionix, Mosiac, Clarion, IRRAS. 3; C; Medtronic. 4; C; NeXtGen Biologics, RAPID Medical, Claret Medical, Cognition Medical, Imperative Care, Rebound Therapeutics, StimMed, Three Rivers Medical.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.000 |
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.
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 teacher head, 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".