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Record W4384277357

Factors Affecting the Prognosis of Patients with Acute Cerebrovascular Occlusion with High National Institutes of Health Stroke Scale Scores Treated with SWIM Technology.

2023· article· en· W4384277357 on OpenAlexaboutno aff
Guangming Yao, Jiwei Zhang, Miao Yu, Zongxing Yang, Huisong Chu

Bibliographic record

VenuePubMed · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineModified Rankin ScaleRevascularizationOcclusionStroke (engine)Logistic regressionInternal medicineSurgeryMyocardial infarctionIschemic strokeIschemia
DOInot available

Abstract

fetched live from OpenAlex

Objective: We aimed to explore the factors affecting the prognosis of patients with acute cerebrovascular occlusion with high National Institutes of Health Stroke Scale (NIHSS) scores treated with the SWIM (Solitaire™ stent retriever-assisted thrombectomy with immediate mechanical aspiration) technique using an intracranial support catheter. Methods: A retrospective analysis was conducted in 72 patients with acute cerebrovascular occlusion who underwent SWIM surgery in the Affiliated Hospital of Chengde Medical University in China between January 2020 and June 2022. The patients were divided into a good prognosis group (Modified Rankin Score [mRS] 0 to 2; n = 30) and a poor prognosis group (mRS score 3 to 6; n = 42) on their mRS scores 3 months after surgery. The THRIVE (TICI, hemorrhage, reocclusion, infarction, vessel, and embolism) score at different time points before and after the SWIM procedure and the postoperative revascularization rate were compared in the 2 NIHSS score groups. Univariate and logistic regression analyses were performed to identify the risk factors that affected the prognosis of patients with acute cerebrovascular occlusion treated with the SWIM procedure. Results: The NIHSS score difference at various time points after SWIM surgery in patients with low to moderate NIHSS scores was significantly higher than in patients with high NIHSS scores (P < .05). The postoperative revascularization rate in patients with high NIHSS scores was 74.36%, which was not significantly different from that in patients with low to moderate scores (84.85%; P > .05). The poor prognosis in patients with acute cerebrovascular occlusion after SWIM surgery was related to age, hypertension, NIHSS score, Glasgow Coma Scale (GCS) score, Essen Stroke Risk Score (ESRS), onset-to-treatment time (OTT) and Alberta Collateral Grading Scale (ACGS) score (P < .05). Logistic regression analysis showed that age, admission NIHSS score and ACGS score were independent risk factors that affected the prognosis in patients with acute cerebrovascular occlusion treated with the SWIM procedure (P < .05). Conclusion: The prognosis in patients with acute cerebrovascular occlusion with high NIHSS scores after SWIM surgery was poor. Advanced age, high NIHSS score and ACGS score were independent risk factors that affected the prognosis in patients with acute cerebrovascular occlusion treated with the SWIM procedure. Overall, incorporating these findings into clinical practice promotes personalized approaches, interdisciplinary collaboration and timely interventions to optimize outcomes in patients undergoing the SWIM procedure for acute cerebrovascular occlusion.

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)0.001
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 score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.223
Teacher spread0.209 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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