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Developing a Coordinated Registry Network for devices used for acute ischemic stroke intervention: basilar artery occlusion quality assessment pilot. | LitMetric

Background: Real-world data can be helpful in evaluating endovascular therapy (EVT) in ischemic stroke care. We conducted a pilot study to aggregate data on basilar artery occlusion (BAO) EVT from existing registries in the USA. We evaluated the availability, completeness, quality, and consistency of common data elements (CDEs) across data sources.

Methods: We harmonized patient-level data from five registry data sources and assessed the availability, completeness (defined by the presence in at least four data sources), and consistency of CDEs. We assessed data quality based on seven pre-defined critical domains for BAO EVT investigation: baseline patient and disease characteristics; time metrics; description of intervention; adjunctive devices, revascularization scores, complications; post-intervention National Institutes of Health Stroke Scale scores; discharge disposition; 30-day and 90-day mortality and modified Rankin Scale (mRS) scores.

Results: The aggregated dataset of five registries included 493 BAO procedures between January 2013 and January 2020. In total, 88 CDEs were screened and 35 (40%) elements were considered prevalent. Of these 35 CDEs, the majority were collected for >80% of cases when aggregated. All seven pre-defined domains for BAO device investigation could be fulfilled with harmonized data elements. Most data elements were collected with consistent or compatible definitions across registries. The main challenge was the collection of 90-day outcomes.

Conclusions: This pilot shows the feasibility of aggregating and harmonizing critical CDEs across registries to create a Coordinated Registry Network (CRN). The CRN with partnerships between multiple registries and stakeholders could help improve the breadth and/or depth of real-world data to help answer relevant questions and support clinical and regulatory decisions.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11632145PMC
http://dx.doi.org/10.1136/jnis-2024-021741DOI Listing

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