Derivation and External Validation of the "FORECAST-PC" Prediction Scores

Completed

Conditions studied: Posterior Ischemic Stroke, Cerebral Infarction, Cerebrovascular Disorders

In brief

This study aims to develop and externally validate machine learning prediction models (FORECAST-PC) to determine 90-day functional outcomes for patients suffering from acute ischemic stroke in the posterior circulation who are selected for endovascular thrombectomy (EVT)

Key facts

Study ID

NCT07750015

Run by

Dr. med. Alexander Salerno, MD-PhD

People needed

732

Starts

2015-01-01

Expected to finish

2024-12-31

Last updated by the study team

2026-08-06

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Age > 18 years
• Presentation with acute ischemic stroke (AIS) attributed to a radiologically confirmed posterior circulation occlusion
• Selected for Endovascular Thrombectomy (EVT) according to the treating physician
• Pre-stroke modified Rankin Scale (mRS) 0-3
• EVT initiated or attempted within 24-hours of the last known well (LKW) time
• Includes cases with/without prior intravenous thrombolysis (IVT), mothership, and drip-and-ship pathways

You may not qualify if…

• EVT carried out beyond 24 hours from stroke onset
• EVT performed secondarily after in-hospital worsening or stroke recurrence
• In-hospital strokes (to avoid the confounding influence of prior systemic comorbidities and the acute event that necessitated initial admission)
• Missing primary outcome data
• Inconsistencies between descriptive dependence status and raw pre-stroke mRS
• Stroke cases occurring prior to 2015 (to account for major changes in endovascular treatment techniques)

Where it is running

• Centre Hospitalier Universitaire Vaudois — Lausanne, Switzerland

Full record on ClinicalTrials.gov

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