Clinical trial Recruiting at 1 site Observational Ages 18 and up

Registry study on factors predicting outcomes in aneurysmal subarachnoid hemorrhage

Official title: Multi-Center Registry Cohort Study on Prognostic Factors and Prediction Model Construction in Aneurysmal Subarachnoid Hemorrhage

Run by Second Affiliated Hospital of Nanchang University · NCT05738083 · Data updated 2026-11-12

This study is trying to find out what factors can help predict how well people with aneurysmal subarachnoid hemorrhage will do after their condition and improve how they are treated.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment5000 (estimated)
SponsorSecond Affiliated Hospital of Nanchang University
Academic / other
Locations1 site (Nanchang, Jiangxi)
StatusRecruiting
StartedOctober 1, 2018
Main results expectedDecember 30, 2028
Study endsDecember 30, 2029
Registry record updatedApril 30, 2026
Trial IDNCT05738083 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates include patients diagnosed with subarachnoid hemorrhage due to a ruptured intracranial aneurysm who meet specific clinical criteria.

Probably not a fit

Patients with aneurysm rupture bleeding for more than 24 hours before hospital admission or those with incomplete imaging or blood test data may not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

PROSAH-MPC is a collaborative research project involving multiple neurosurgical centers in China that aims to identify prognostic factors and develop prediction models for complications, disability, and mortality in patients with aneurysmal subarachnoid hemorrhage (aSAH). The study utilizes a large, multi-center, prospective cohort design to gather extensive clinical and radiological data, including demographics, medical histories, and imaging features. By employing machine learning techniques, the study seeks to extract critical predictive features from imaging data, enhancing the accuracy of the developed models. This comprehensive approach aims to provide a better understanding of aSAH outcomes and improve patient management.

Why it matters

Potential benefit: If successful, this study could lead to improved prediction of complications and outcomes for patients with aneurysmal subarachnoid hemorrhage.

How similar studies have gone: Other studies have shown success in using multi-center approaches and machine learning for predicting outcomes in similar conditions, indicating a promising avenue for this research.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Subarachnoid hemorrhage confirmed by computed tomography (CT);
* Cerebral angiography (CTA) and digital subtraction angiography (DSA) examination confirming intracranial aneurysm rupture as the cause of the subarachnoid hemorrhage;
* Blood routine, biochemical function, blood coagulation function, and craniocerebral CT performed within 24 hours of symptom onset;
* Underwent aneurysm clipping by surgery or endovascular embolization within 72 hours after-onset.

Exclusion Criteria:

* Aneurysm rupture bleeding time exceeding 24 hours before hospital admission;
* Incomplete image data or blood test information;
* Long-term use of anticoagulant medications such as aspirin or warfarin;
* Admitted to hospital with active infectious diseases;
* long-term anticoagulant drugs such as aspirin, wave dimensions;
* Presence of other intracranial vascular malformations.

Where it's running

  • The Second Affiliated Hospital of Nanchang University
    Nanchang, Jiangxi, China
    Recruiting

Study contacts

  • Principal investigator: Qianxue Chen, Prof — Renmin Hospital of Wuhan University
  • Study coordinator: Xingen Zhu, Prof
  • Email: zxg2008vip@163.com
  • Phone: 13803546020

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.