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Record W2066713718 · doi:10.1159/000356186

Predictors of Outcome after Mechanical Thrombectomy for Anterior Circulation Large Vessel Occlusion in Patients Aged ≥80 Years

2013· article· en· W2066713718 on OpenAlexaboutno aff
Wiebke Kurre, Marta Aguilar Pérez, L. Niehaus, Sebastian Fischer, Elisabeth Schmid, Hansjörg Bäzner, Hans Henkes

Bibliographic record

VenueCerebrovascular Diseases · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThrombolysisStroke (engine)Internal medicineIntracerebral hemorrhageCardiologyAtrial fibrillationOdds ratioModified Rankin ScaleConfidence intervalSubarachnoid hemorrhageMyocardial infarctionIschemic strokeIschemia

Abstract

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BACKGROUND: There is uncertainty about the role of endovascular recanalization procedures for the treatment of acute ischemic stroke in patients aged ≥80 years. Therefore, careful patient selection is mandatory. Our aim was to find valid predictors of clinical outcome after mechanical thrombectomy (mTE) based on the sparse information available in the emergency setting. METHODS: We included consecutive patients aged ≥80 years treated by mTE for anterior circulation thromboembolic vessel occlusion in our department between January 2008 and January 2013. Successful recanalization was defined as a thrombolysis in cerebral infarction (TICI) score of 2b or 3. The rates of parenchymal hemorrhage types I (PHI) and II (PHII) according to the ECASS definition and the rate of focal and diffuse subarachnoid hemorrhage (SAH) were reported. A modified Ranking scale (mRS) score of 0-2 at 90 days was defined as a favorable outcome. We evaluated the influence of gender, smoking habits, atrial fibrillation, diabetes, hypertension, hyperlipidemia, coronary artery and peripheral artery disease, National Institutes of Health Stroke Scale (NIHSS) score, Totaled Health Risks in Vascular Events (THRIVE) score, Alberta Stroke Program Early CT Score (ASPECTS), and duration of symptoms on favorable outcome. Significant predictors were then included in a stepwise logistic regression analysis. Odds ratios (OR), 95% confidence intervals (CI), and receiver operating characteristics (ROC) curves were calculated. p < 0.05 was considered statistically significant. RESULTS: In the defined period, we treated 109 patients aged ≥80 years with 116 occluded anterior circulation target vessels. Successful recanalization was achieved in 87.9% of the targets. The rates of PHI, PHII, and focal and diffuse SAH were 6.4, 5.5, 12.8, and 7.3%, with an overlap between PH and SAH. The combined rate of PHII and/or diffuse SAH was 9.2%. Despite good recanalization rates and reasonable rates of hemorrhage, only 19 patients (17.4%) were functionally independent at 90 days. An additional 12 patients (11.0%) suffered from moderate disability (mRS score 3), 26 (23.9%) were severely disabled (mRS score 4-5) and 52 (47.7%) were deceased. NIHSS, ASPECTS, and THRIVE scores significantly predicted a favorable outcome. Stepwise logistic regression identified NIHSS (OR 0.89; 95% CI 0.82-0.96; p = 0.009) and ASPECTS (OR 2.27; 95% CI 1.28-4.02; p = 0.005) as independent predictors. The ROC area was 0.81. CONCLUSION: ASPECTS and NIHSS were independent predictors of a favorable outcome in patients aged ≥80 years after mTE for anterior circulation large vessel occlusion and may support decision making with regard to the treatment modality. Since the chances of gaining functional independence are limited, careful consideration of each individual case is mandatory. Further studies comparing endovascular and standard treatment in octogenarians are warranted.

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)0.003
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.007
GPT teacher head0.239
Teacher spread0.232 · 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

Citations57
Published2013
Admission routes1
Has abstractyes

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