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Record W1969402857 · doi:10.1159/000368216

Intra-Arterial Therapy for Acute Ischemic Stroke Under General Anesthesia versus Monitored Anesthesia Care

2014· article· en· W1969402857 on OpenAlexaff
Seby John, Umera Thebo, João Gomes, Maher Saqqur, Ehab Farag, Jijun Xu, Dolora Wisco, Ken Uchino, Muhammad Shazam Hussain

Bibliographic record

VenueCerebrovascular Diseases · 2014
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineSedationAnesthesiaIntracerebral hemorrhageBlood pressureStroke (engine)ThrombolysisHemodynamicsCardiologyInternal medicineMyocardial infarctionGlasgow Coma Scale

Abstract

fetched live from OpenAlex

BACKGROUND: Recent studies have shown that intra-arterial recanalization therapy (IAT) for acute ischemic stroke (AIS) is associated with worse clinical outcomes when performed under general anesthesia (GA) compared to local anesthesia, with or without conscious sedation. The reasons for this association have not been systematically studied. METHODS: We retrospectively reviewed 190 patients who underwent IAT for anterior circulation AIS from January 2008 to December 2012 at our institution. Baseline demographics, vessels involved, acute stroke treatment including intravenous tissue type plasminogen activator (tPA) use, use of GA vs. monitored anesthesia care (MAC), location of thrombus, recanalization grade, radiologic post-procedural intracerebral hemorrhage, and 30-day outcomes were collected. Relevant clinical time points were recorded. Detailed intra-procedural hemodynamics including maximum/minimum heart rate, systolic blood pressure (BP), diastolic BP, mean BP, use of pressors and episodes of hypotension were collected. Our study's outcomes were as follows: in-hospital mortality, 30-day good outcome (mRS ≤2), successful recanalization and radiologic post-procedural intracerebral hemorrhage. RESULTS: Ninety-one patients received GA and 99 patients received MAC. There was no significant difference in the NIHSS score between the two groups but the GA group had a higher number of ICA occlusions (31.9 vs. 18.2%, p = 0.043). The time from the start of anesthesia to incision (23.0 ± 12.5 min vs. 18.7 ± 11.3 min, p = 0.020) and the time from the start of anesthesia to recanalization (110 ± 57.2 vs. 92.3 ± 43.0, p = 0.045) was longer in the GA group. The time from incision to recanalization was not significantly different between the two groups. mRS 0-2 was achieved in 22.8% of patients in the MAC group compared to 14.9% in GA (p = 0.293). Higher mortality was seen in the GA group (25.8 vs. 13.3%, p = 0.040). Successful recanalization (TICI 2b-3) was similar between the GA and MAC (57.8 vs. 48.5%, p = 0.182) groups, but GA had a higher number of parenchymal hematomas (26.3 vs. 10.1%, p = 0.003). There was no difference in the intra-procedural hemodynamic variables between the GA and MAC groups. Anesthesia type was an independent predictor for mortality (along with age and initial NIHSS), and the only independent predictor for parenchymal hematomas, with MAC being protective for both. CONCLUSION: Our study has confirmed previous findings of GA being associated with poorer outcomes and higher mortality in patients undergoing IAT for AIS. Detailed analysis of intra-procedural hemodynamics did not reveal any significant difference between the two groups. Parenchymal hematoma was the major driver of the difference in outcomes.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.261
Teacher spread0.250 · 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

Citations133
Published2014
Admission routes1
Has abstractyes

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