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Autor(en) / Beteiligte
Titel
Identifying the predictors of first-pass effect and its influence on clinical outcome in the setting of endovascular thrombectomy for acute ischemic stroke: Results from a multicentric prospective registry
Ist Teil von
  • International journal of stroke, 2021-01, Vol.16 (1), p.20-28
Ort / Verlag
London, England: SAGE Publications
Erscheinungsjahr
2021
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Background The first-pass effect, defined as a complete or near-complete recanalization after one pass (first-pass effect) of a mechanical thrombectomy device, has been related to better clinical outcome than good recanalization after more than one pass in acute ischemic stroke. We searched for predictors of first-pass effect by analyzing the results within a large prospective multicentric registry. Methods We included patients treated by mechanical thrombectomy for isolated anterior intracranial occlusions. A multi-variate logistic regression analysis was carried out to search for predictors of first-pass effect. We also analyzed the percentage of patients with 90-day modified Rankin Scale score 0 to 2, excellent outcome (90-day modified Rankin Scale 0 to 1), 24-h NIHSS change, and 90-day all-cause mortality. Results Among the 1832 patients included, clinical outcome at 90 days was significantly better in first-pass effect patients (50.6% vs. 38.9% in patients without first-pass effect), with a center-adjusted OR associated with first-pass effect of 1.74 (95%CI, 1.24 to 1.77). Older age, a lower systolic blood pressure, an MCA-M1 occlusion, higher DWI-ASPECTS at admission, mechanical thrombectomy under local anesthesia, and combined first-line device strategy were independent predictors of first-pass effect. Conclusions In this study, a strategy combining thrombectomy and thrombo-aspiration was more effective than other strategies in achieving first-pass effect. In addition, we confirm that clinical outcome was better in patients with first-pass effect compared to non-first-pass effect patients.
Sprache
Englisch
Identifikatoren
ISSN: 1747-4930
eISSN: 1747-4949
DOI: 10.1177/1747493020923051
Titel-ID: cdi_hal_primary_oai_HAL_hal_03127506v1
Format
Schlagworte
Life Sciences

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