Accuracy of Healthcare Data in Identifying Cardiovascular Outcomes After Stroke
Background
Healthcare systems data (HCSD) can make clinical trials more efficient, but their accuracy is not always clear. This study aimed to evaluate how accurate HCSD is for detecting outcomes in the RESTART trial, comparing it to follow-up questionnaires.
Methods
RESTART was a clinical trial in the UK that looked at antiplatelet therapy after a type of stroke called intracerebral haemorrhage (ICH). Out of 537 participants, 496 were included in the study. Participants were randomly assigned to either start or avoid antiplatelet therapy. The trial used annual questionnaires to track outcomes over about 2 years, with an independent committee verifying results using medical records. HCSD was used to identify outcomes based on hospital admissions and deaths.
Results
In the trial, 31 participants had a primary outcome event. HCSD showed:
- Sensitivity: 84% for recurrent ICH
- Positive Predictive Value: 68% for recurrent ICH
HCSD estimated the effect of antiplatelet therapy similarly to the adjudicated outcomes. For major adverse cardiovascular events (MACE), HCSD had:
- Sensitivity: 84%
- Positive Predictive Value: 78%
Again, HCSD provided comparable estimates of treatment effects to the adjudicated outcomes.
Conclusions
HCSD was reasonably accurate in a clinical trial of antiplatelet therapy for ICH and provided similar treatment effect estimates compared to traditional methods.
Practical Solutions and Value
Clinical trials are essential for developing safe treatments. To make their benefits accessible in everyday practice, we introduce DocSym, an AI-driven platform that consolidates clinical protocols and research into one easy-to-use resource for healthcare professionals.
In today’s fast-paced healthcare environment, efficiency is key. Our mobile apps facilitate scheduling, treatment monitoring, and telemedicine, simplifying patient care management.
By leveraging AI, clinics can streamline workflows, enhance patient outcomes, and reduce reliance on paper processes. Discover how we can assist you at aidevmd.com.
