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Record W4389299049 · doi:10.1227/neu.0000000000002780

Predictors of Perioperative Complications During Leo Baby Stent Treatment for Acutely Ruptured Intracranial Aneurysms: A Retrospective Multicenter Study

2023· article· en· W4389299049 on OpenAlexaff
Yazhou Yan, Zhengzhe Feng, Fangqi Liu, Yuxiang Chi, Haishuang Tang, Yina Wu, Jun Wang, Zhiqiang Yao, Qinghai Huang

Bibliographic record

VenueNeurosurgery · 2023
Typearticle
Languageen
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsCAE (Canada)
FundersNational Natural Science Foundation of China
KeywordsMedicinePerioperativeModified Rankin ScaleRetrospective cohort studySurgeryStentAneurysmInternal medicineIschemiaIschemic stroke

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Stent-assisted coiling (SAC) of acutely ruptured aneurysms has been controversial. Moreover, for aneurysms originating from small diameter vessels, the SAC presents more challenges. This study aimed to investigate the predictors of perioperative complications after SAC with Leo baby stent of acutely ruptured aneurysms. METHODS: We performed a retrospective multicenter analysis of 425 patients with acutely ruptured aneurysms treated with Leo baby. We compared clinical characteristics and outcomes among patients with perioperative complications and those without. Subgroup analysis, including thromboembolic and hemorrhagic complications, was also performed. RESULTS: Immediate postoperative angiograms showed Raymond 1 in 357 aneurysms (84.2%), 2 in 53 (12.5%), and 3 in 14 (3.3%). A total of 372 patients (87.5%) were independent (modified Rankin Scale [mRS] score 0-2) at discharge. Perioperative complications occurred in 18 cases (4.2%) harboring 13 cases (3.1%) of thromboembolic complications and 5 cases (1.2%) of hemorrhagic complications. Patients with perioperative complications had a higher rate of unfavorable outcomes at discharge ( P = .018), especially with thromboembolic complications ( P = .043). Multivariate analysis showed that higher preoperative mRS score ( P = .004), irregular shape ( P = .017), and larger aneurysms ( P = .049) were independent predictors of the overall complications, whereas higher preoperative mRS score ( P = .022) was an independent predictor for ischemic complications. The follow-up angiogram was available for 245 patients, and the follow-up angiograms revealed Raymond 1 in 223 aneurysms (91.0%), 2 in 19 (7.8%), and 3 in 3 (1.2%). CONCLUSION: Worse clinical condition, irregular shape, and larger aneurysms were independently associated with overall complications, whereas worse clinical condition was viewed as an independent predictor for thromboembolic complications. Attention to these factors is essential for the safe treatment and prognosis of patients with acutely ruptured aneurysms.

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)0.001
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.033
GPT teacher head0.293
Teacher spread0.259 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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