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Enregistrement W4402511863 · doi:10.1097/io9.0000000000000120

Re-evaluating the timing of mechanical thrombectomy in low ASPECTS stroke: insights from real-world data

2024· article· en· W4402511863 sur OpenAlexaboutno aff
Kelechi Michael Azode, Abass O. Ajayi, Shewit Atkilt Gebreyohannes, Mahendra Pratap Singh, Mahalaqua Nazli Khatib, Rakesh Sharma, Quazi Syed Zahiruddin, Sarvesh Rustagi, Shilpa Gaidhane, Ayush Anand

Notice bibliographique

RevueInternational Journal of Surgery Open · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Ischemic Stroke Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineStroke (engine)Physical medicine and rehabilitationCardiologyMechanical engineering

Résumé

récupéré en direct d'OpenAlex

Dear Editor, Mechanical thrombectomy (MT) has transformed the management of acute ischemic stroke, particularly in patients with large vessel occlusion (LVO)1–3. The effectiveness of MT within 6 hours of symptom onset is well-documented, but recent studies have extended this window to 24 h under specific conditions1,4–6. A recent study by Elawady et al.7 with 10 229 participants provides valuable insights into the outcomes of MT in patients with low Alberta Stroke Program Early Computed Tomography Scores (ASPECTS) presenting in early (<6 h) and late (6–24 h) windows. Elawady et al.7 found no significant difference in acceptable outcomes [modified Rankin Scale (mRS) scores of 0–3] at 90 days between patients treated in the early and late windows. Also, the study reported significantly higher rates of sICH in the early window group (22.9%) compared to the late window group (10.8%)7. These findings have profound implications for neurosurgeons. First, the study challenges the traditional emphasis on the “golden hour” and suggests that MT can be beneficial beyond the 6-hour window, even in patients with low ASPECTS who typically present with extensive infarction. This implies that neurosurgeons may consider MT for a broader range of patients, including those presenting later. This is particularly relevant in settings where patients may experience delays in reaching thrombectomy-capable centers. The ability to extend the treatment window up to 24 h can significantly increase the number of eligible patients, potentially improving overall stroke outcomes. Second, an early intervention may carry increased risks, particularly in patients with extensive infarcts as indicated by low ASPECTS. Hence, neurosurgeons must weigh the benefits of early intervention against the increased risk of sICH. In patients with low ASPECTS, the decision to proceed with MT within the first 6 hours should be made cautiously, considering individual risk factors such as age, comorbidities, and extent of infarction. Third, to provide the best care, patient selection remains crucial. While the extended window offers more opportunities for intervention, identifying patients who are most likely to benefit is essential. Advanced imaging techniques to assess collateral circulation and tissue viability should be integrated into the decision-making process to optimize outcomes. Fourth, the choice of thrombectomy devices and techniques may influence the risk of sICH. Surgeons should consider using devices and approaches that minimize trauma to the vessel wall and reduce the likelihood of hemorrhagic transformation. Continuous advancements in thrombectomy technology and techniques should be evaluated and incorporated into practice to enhance safety. Fifth, given the heightened risk of sICH, intensive postoperative monitoring is essential for early window patients. Immediate post-procedure imaging and close neurological monitoring can help detect and manage hemorrhagic complications promptly, potentially mitigating their impact on patient outcomes2,8,9. Sixth, the study’s use of real-world data from the Stroke Thrombectomy and Aneurysm Registry highlights the variability in clinical practice across different centers. This variability can impact outcomes and underscores the importance of standardizing protocols. Hence, it is necessary to develop and adhere to standardized protocols for MT can reduce variability and improve outcomes. These protocols should include guidelines for patient selection, imaging criteria, procedural techniques, and postoperative care. Ongoing training and education for neurosurgeons are crucial to ensure consistency in technique and adherence to best practices. Simulation training, workshops, and peer review can help maintain high standards of care across different centers. Moreover, collaboration among stroke centers and sharing of data and experiences can facilitate continuous improvement in practice. Multi-center registries and collaborative research efforts can identify best practices and areas for improvement, driving advancements in stroke care. While the study by Elawady and colleagues provides important insights, several limitations should be acknowledged. The retrospective design introduces potential biases, and the lack of core volume and collateral score data limits the understanding of these critical factors. Moreover, the high mortality rates reported in both groups highlight the severe nature of stroke in low ASPECTS patients. To address these limitations various aspects can be considered. First, prospective, randomized controlled trials are needed to validate the findings of this study and provide more definitive evidence on the optimal timing of MT in low ASPECTS patients. Second, incorporating advanced imaging techniques, such as perfusion imaging and collateral assessment, into future studies can provide a more comprehensive understanding of which patients benefit most from MT and why. Third, research should focus on identifying strategies to optimize outcomes in low ASPECTS patients, including the development of new devices, techniques, and adjunctive therapies that can improve recanalization rates while minimizing complications. In conclusion, demonstrating that functional outcomes are comparable between early and late intervention windows in patients with anterior circulation large vessel occlusion and low ASPECTS. However, the increased risk of sICH in the early window and the high overall mortality rates underscore the need for careful patient selection and vigilant postoperative care. As surgical practice evolves, incorporating these findings into clinical protocols, enhancing standardization, and continuing to pursue research and innovation will be crucial in improving outcomes for stroke patients. Ethical approval Ethical approval is not applicable for this correspondence article. Consent Informed consent is not applicable for this correspondence article. Sources of funding None. Author contribution K.M.A.: conceptualization, project administration, supervision, validation, writing—original draft and writing—review and editing. A.O.A.: conceptualization, project administration, supervision, validation, writing—original draft and writing—review and editing. S.A.G.: supervision, validation, writing—original draft and writing—review and editing. M.P.S.: writing—original draft and writing—review and editing. M.N.K.: writing—original draft and writing—review and editing. R.K.S.: writing—original draft and writing—review and editing. Q.S.Z.: writing—original draft and writing—review and editing. S.R.: writing—original draft and writing—review and editing. S.G.: writing—original draft and writing—review and editing. A.A.: supervision, validation, and writing—review and editing. Conflicts of interest disclosure No conflict of interest to declare. Research registration unique identifying number (UIN) None. Guarantor Kelechi Michael Azode and Abass Oluwaseyi Ajayi. Data availability statement None. Provenance and peer review Not commissioned, externally peer-reviewed.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,394
Score d'incertitude au seuil0,476

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,193
Tête enseignante GPT0,428
Écart entre enseignants0,235 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2024
Routes d'admission1
Résumé présentoui

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