Clinical trial · Observational
Cohort Study for Severe Ischaemic Stroke
Clinical Features, Management and Outcomes of Severe Ischaemic Stroke in Tertiary Hospitals in China: a Multi-centre Prospective Observational Study
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This is a multi-centre, prospective cohort study. The aim of this study is to investigate causes, risk factors, clinical course, management and outcomes of severe ischaemic stroke in a real-world setting in tertiary hospitals in China. Patients with acute ischaemic stroke from nine tertiary hospitals in western China will be recruited. Participants will be visited within 24 hours after admission, on day 3, day 7 and at discharge, to collect their clinical data, blood biomarkers, and brain imaging. A structured telephone interview will be conducted for each participant at 3 months and 1 year after stroke onset, respectively, to collect their functional outcomes. In-hospital outcomes include haemorrhagic transformation, brain oedema and death, 3-month and 1-year outcomes include survival status (death or survival) and functional outcome (scores of modified Rankin scale, mRS).
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Malignant Ischaemic Stroke | — | UNRESOLVED | — |
| Severe Ischaemic Stroke | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| routine medical care | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (3)
- label
- Severe ischaemic stroke
- description
- patients with severe stroke on admission
- interventionNames
- Other: routine medical care
- label
- Malignant ischaemic stroke
- description
- patients without severe stroke on admission but developing it in hospital
- interventionNames
- Other: routine medical care
- label
- Mild to moderate ischaemic stroke
- description
- patients without severe stroke from onset to discharge
- interventionNames
- Other: routine medical care
Primary outcomes (1)
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Aged 18 years or over * Symptoms and signs of clinically definite acute stroke * Time of stroke onset is known and within 30 days of admission * CT or MRI brain scanning has reliably excluded both intracranial haemorrhage and structural brain lesions which can mimic stroke (e.g. brain tumour) Exclusion Criteria: * Likely to be unavailable for follow-up, e.g. no fixed home address * Refuse to give consent to participate
References
Publications (4)
- BACKGROUNDWu S, Yuan R, Xiong Y, Zhang S, Wu B, Liu M. Clinical features, management and outcomes of severe ischaemic stroke in tertiary hospitals in China: protocol for a prospective multicentre registry-based observational study. BMJ Open. 2018 Oct 28;8(10):e024900. doi: 10.1136/bmjopen-2018-024900. PMID 30373783
- BACKGROUNDWu S, Yuan R, Wang Y, Wei C, Zhang S, Yang X, Wu B, Liu M. Early Prediction of Malignant Brain Edema After Ischemic Stroke. Stroke. 2018 Dec;49(12):2918-2927. doi: 10.1161/STROKEAHA.118.022001. PMID 30571414
- DERIVEDWu S, Wang Y, Yuan R, Liu M, Hua X, Huang L, Guo F, Yang D, Li Z, Wu B, Wang C, Duan J, Ling T, Zhang H, Zhang S, Wu B, Zhu C, Anderson CS, Liu M. Clinical course, causes of worsening, and outcomes of severe ischemic stroke: A prospective multicenter cohort study. Chin Med J (Engl). 2025 Jul 5;138(13):1578-1586. doi: 10.1097/CM9.0000000000003556. Epub 2025 Mar 17. PMID 40090964
- DERIVEDWu S, Wang Y, Yuan R, Guo F, Yang D, Li Z, Wu B, Wang C, Duan J, Ling T, Zhang H, Zhang S, Wu B, Anderson CS, Liu M. Predicting the emergence of malignant brain oedema in acute ischaemic stroke: a prospective multicentre study with development and validation of predictive modelling. EClinicalMedicine. 2023 Apr 27;59:101977. doi: 10.1016/j.eclinm.2023.101977. eCollection 2023 May. PMID 37152361