Ignite Creation Date:
2024-05-06 @ 6:39 PM
Last Modification Date:
2024-10-26 @ 2:52 PM
Study NCT ID:
NCT05738083
Status:
RECRUITING
Last Update Posted:
2024-05-29
First Post:
2022-11-16
Brief Title:
Multi-Center Registry Cohort Study on Prognostic Factors and Prediction Model Construction in Aneurysmal SAH
Sponsor:
Second Affiliated Hospital of Nanchang University
Organization:
Second Affiliated Hospital of Nanchang University
Study Overview
Official Title:
Multi-Center Registry Cohort Study on Prognostic Factors and Prediction Model Construction in Aneurysmal Subarachnoid Hemorrhage
Status:
RECRUITING
Status Verified Date:
2024-08
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:
PROSAH-MPC
Brief Summary:
PROSAH-MPC a collaborative research project among neurosurgical centers in China focuses on aneurysmal subarachnoid hemorrhage aSAH Its aim is to identify prognostic factors and develop robust prediction models for complications disability and mortality in aSAH patients By leveraging a large multi-center prospective cohort design PROSAH-MPC aims to overcome limitations of past studies and provide a more comprehensive understanding of the disease
Detailed Description:
PROSAH-MPC Prognostic Factors and Prediction Models in Aneurysmal Subarachnoid Hemorrhage Multi-Center Prospective Cohort is an ambitious research endeavor that brings together a consortium of neurosurgical centers across various regions to comprehensively investigate the complexities of aneurysmal subarachnoid hemorrhage aSAH This multi-faceted study aims to unlock the prognostic factors that underpin the outcomes of patients afflicted with this severe and often life-threatening cerebrovascular disorder
The primary objective of PROSAH-MPC is to construct and validate robust prediction models that can accurately forecast the risks of complications disability and mortality in aSAH patients By leveraging the strengths of a large multi-center prospective cohort design the study aims to overcome the limitations of previous single-center limited sample size or retrospective studies enabling a more holistic and generalizable understanding of the disease
Central to the study is the collection of extensive clinical and radiological data from enrolled patients including demographics medical histories treatment regimens radiological features and follow-up outcomes Radiomic analysis of imaging data such as CT and MRI scans will be employed to extract subtle but crucial features that may predict patient outcomes by deep learning This data-rich approach ensures that the prediction models are built on a solid foundation of evidence-based knowledge
PROSAH-MPCs ultimate goal is to transform the way we approach aSAH management by providing clinicians with reliable tools to assess individual patient risks and tailor treatment plans accordingly The validated prediction models have the potential to enhance early recognition of high-risk patients facilitate timely interventions and ultimately improve patient outcomes and quality of life
The primary objective of PROSAH-MPC is to construct and validate robust prediction models that can accurately forecast the risks of complications disability and mortality in aSAH patients By leveraging the strengths of a large multi-center prospective cohort design the study aims to overcome the limitations of previous single-center limited sample size or retrospective studies enabling a more holistic and generalizable understanding of the disease
Central to the study is the collection of extensive clinical and radiological data from enrolled patients including demographics medical histories treatment regimens radiological features and follow-up outcomes Radiomic analysis of imaging data such as CT and MRI scans will be employed to extract subtle but crucial features that may predict patient outcomes by deep learning This data-rich approach ensures that the prediction models are built on a solid foundation of evidence-based knowledge
PROSAH-MPCs ultimate goal is to transform the way we approach aSAH management by providing clinicians with reliable tools to assess individual patient risks and tailor treatment plans accordingly The validated prediction models have the potential to enhance early recognition of high-risk patients facilitate timely interventions and ultimately improve patient outcomes and quality of life
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