Prognostic Prediction Model of Patients With AcUte Stroke undeRgoing EndOvascular TheRApy (AURORA)

NCT ID: NCT06009315

Last Updated: 2024-08-01

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

949 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-02-23

Study Completion Date

2026-12-31

Brief Summary

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Stroke is the leading cause of disability-adjusted life years (DALYs) in China, imposing a heavy burden on society and families. Endovascular therapy (EVT) has opened the 2.0 era of acute ischemic stroke (AIS) treatment, but still up to 1/3 of patients have poor neurological prognosis. The results of several studies at home and abroad and by our team indicate that anesthesia method and perioperative management are one of the key factors affecting the neurological prognosis of EVT treatment in AIS patients. Based on machine learning big data analysis methods, a prognostic model for EVT treatment of AIS patients can be established to guide individualized treatment decisions. Current prediction models only include patients' baseline variables, and lack the inclusion of intraoperative (anesthesia management and interventional process) and postoperative (intensive monitoring treatment) variables, which limits the clinical application of prediction tools. We will establish a large prospective cohort database including preoperative, intraoperative, and postoperative variables, integrate heterogeneous information from multiple sources based on artificial intelligence machine learning algorithms, and build prognostic prediction models with better clinical applicability and calibration, with the aim of optimizing perioperative management of endovascular therapy, guiding individualized clinical decision-making, and improving patients' clinical prognosis.

Detailed Description

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Conditions

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Acute Ischemic Stroke

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Age ≥18 years;
* NIHSS score ≥4;
* Image-confirmed (CTA/MRA/DSA) intracranial large artery occlusion;
* ASPECT (anterior circulation) or PC-ASPECT (posterior circulation) score ≥3;
* Endovascular treatment including arterial thrombolysis, mechanical thrombolysis, and angioplasty (onset to puncture time is recommended to be less than 8 hours for anterior circulation and less than 12 hours for posterior circulation; those exceeding the time window will be determined by the neurointerventionalist through imaging assessment);
* Signed informed consent by the patient or legal representative

Exclusion Criteria

* Pre-stroke mRS score \>2;
* Intracranial bleeding disorders: cerebral hemorrhage, subarachnoid hemorrhage, etc.;
* presence of coagulation disorders, history of systemic bleeding, history of thrombocytopenia or neutropenia;
* Renal insufficiency with elevated blood creatinine (greater than 2 times the upper limit of normal);
* Presence of severe cardiopulmonary disease that, in the opinion of the investigator, makes participation in this study unsuitable; patients with a life expectancy of less than 3 months or otherwise unable to complete this study;
* Contraindication to DSA examination, severe contrast allergy or absolute contraindication to iodine contrast; women of childbearing age who have a negative pregnancy test but refuse to use effective contraception, are pregnant or breast feeding;
* Those who are unable to complete the study due to psychiatric disorders, cognitive or mood disorders;
* Other patients who, in the opinion of the investigator, are not suitable for enrollment in the study (specify reason).
Minimum Eligible Age

18 Years

Maximum Eligible Age

100 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Beijing Tiantan Hospital

OTHER

Sponsor Role lead

Responsible Party

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Ruquan Han

Professor & Director

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Beijing Tiantan Hospital, Capital Medical University

Beijing, Beijing Municipality, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Ruquan Han

Role: CONTACT

8610-59976660

Fa Liang

Role: CONTACT

8610-59976658

Facility Contacts

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Ruquan Han, M.D., Ph.D

Role: primary

8610-59976660

References

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Wang X, Liang F, Wu Y, Jia B, Wang A, Zhang X, Zhang K, Hou X, Jian M, Wang Y, Liu H, Miao Z, Han R. Development and Validation of a Two-step Model to Predict Outcomes After Endovascular Treatment for Patients With Acute Ischemic Stroke. J Neurosurg Anesthesiol. 2025 Jul 1;37(3):305-312. doi: 10.1097/ANA.0000000000001008. Epub 2024 Sep 18.

Reference Type DERIVED
PMID: 39291867 (View on PubMed)

Other Identifiers

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LF20230819

Identifier Type: -

Identifier Source: org_study_id

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