Ignite Creation Date:
2024-05-06 @ 7:33 PM
Last Modification Date:
2024-10-26 @ 3:09 PM
Study NCT ID:
NCT06051552
Status:
NOT_YET_RECRUITING
Last Update Posted:
2023-09-25
First Post:
2023-09-18
Brief Title:
Prognostic Prediction Model in Patients With Moyamoya Disease Undergoing Revascularization Surgery
Sponsor:
Beijing Tiantan Hospital
Organization:
Beijing Tiantan Hospital
Study Overview
Official Title:
Development and Validation for Muti-stage Prognostic Prediction Model in Patients With Moyamoya Disease Undergoing Revascularization Surgery
Status:
NOT_YET_RECRUITING
Status Verified Date:
2023-09
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Moyamoya Disease MMD is a rare chronic cerebrovascular disease characterized by progressive occlusion of the internal carotid artery or its major branches with blood flow compensated by the formation of an abnormal vascular network smoky According to the latest national epidemiological survey in 2022 the cumulative number of new cases in the population was 47443 in two years with the annual incidence rate increasing year by year The first symptoms are mainly cerebral infarction transient ischemic attack intracranial hemorrhage and epileptic seizure and the onset of the disease is concentrated in the age group of 45-54 years old which is one of the most important causes of new strokes in middle-aged and young people and imposes a heavy medical burden on the society and the family As one of the major causes of new strokes in young and middle-aged people it brings a heavy medical burden to society and families Hemodialysis has been confirmed as a standard treatment for patients with smokers disease in large sample studies to prevent bleeding and recurrence of hemorrhage however there is no better consensus on which anesthetic technique to use for hemodialysis in patients with MMD Currently the more perfect prediction model is the postoperative collateral compensation formation prediction model for direct and indirect hemodialysis which has the advantage of making full use of the patients preoperative baseline variables and imaging characteristics but the relatively insufficient inclusion of the sample size and the lack of intraoperative vital signs respiratory parameters local cerebral oxygenation etc and postoperative postoperative neurological injury markers etc variables included in the model limits the clinical scenarios The lack of intraoperative vital signs respiratory parameters local cerebral oxygen saturation and postoperative postoperative neurologic injury markers variables limits the clinical application scenarios and is unable to guide the clinical decision-making and prognosis in the important stages of the perioperative period This study aims to establish a prospective cohort database for MMD hemodialysis that includes perioperative anesthesia management intraoperative treatment data and postoperative treatment variables to integrate preoperative intraoperative postoperative and near- and long-term prognostic data from multiple sources and to construct a perioperative multi-stage multi-dimensional prognostic prediction model
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None