Abstract
Background and Purpose-
Knowing characteristic adverse events (AEs) and their incidence among patients participating in acute stroke trials may assist interpretation of future studies. We aimed to develop an online tool to inform stroke trial safety.
Methods-
We identified relevant AEs from patients within the Virtual International Stroke Trials Archive (VISTA), using receiver operating characteristic principles. We modeled their incidence on patient age, baseline National Institutes of Health Stroke Scale, and comorbidities using binary logistic regression. Models with an R-2 > 5% were deemed powerful enough to predict expected AE incidences and were included. The calculator was developed using programs R and Visual Studios.
Results-
Forty-eight of the most common AEs were identified and incorporated into the IschAEmic Stroke Calculator. The calculator, publicly available at
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calculates the expected incidence of AEs or groups of AEs in a trial cohort and where possible compares them with the observed incidence.
Conclusions-
The IschAEmic Stroke Calculator is an open access resource to support safety interpretation within acute stroke trials. Prediction of AEs with higher likelihood of occurrence may direct preventive clinical measures.
