An Ontology-Based Annotation of Cardiac Implantable Electronic Devices to Detect Therapy Changes in a National Registry
The patient population benefitting from cardiac implantable
electronic devices (CIEDs) is increasing. This study introduces
a device annotation method that supports the consistent
description of the functional attributes of cardiac devices and evaluates
how this method can detect device changes from a CIED
registry. We designed the Cardiac Device Ontology, an ontology
of CIEDs and device functions. We annotated 146 cardiac devices
with this ontology and used it to detect therapy changeswith respect
to atrioventricular pacing, cardiac resynchronization therapy, and
defibrillation capability in a French national registry of patients
with implants (STIDEFIX). We then analyzed a set of 6905 device
replacements from the STIDEFIX registry. Ontology-based identification
of therapy changes (upgraded, downgraded, or similar)
was accurate (6905 cases) and performed better than straightforward
analysis of the registry codes (F-measure 1.00 versus 0.75 to
0.97). This study demonstrates the feasibility and effectiveness of
ontology-based functional annotation of devices in the cardiac domain.
Such annotation allowed a better description and in-depth
analysis of STIDEFIX. This method was useful for the automatic
detection of therapy changes and may be reused for analyzing data
from other device registries
KeyWords
Biomedical_informatics,decision_support_systems,information_management,pacemakers
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