IEEE J Biomed Health Inform - An ontology-based annotation of cardiac implantable electronic devices to detect therapy changes in a national registry.

Tópicos

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Resumo

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 changes with 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.

Resumo Limpo

patient popul benefit cardiac implant electron devic ci increas studi introduc devic annot method support consist descript function attribut cardiac devic evalu method can detect devic chang cie registri design cardiac devic ontolog ontolog ci devic function annot cardiac devic ontolog use detect therapi chang respect atrioventricular pace cardiac resynchron therapi defibril capabl french nation registri patient implant stidefix analyz set devic replac stidefix registri ontologybas identif therapi chang upgrad downgrad similar accur case perform better straightforward analysi registri code fmeasur versus studi demonstr feasibl effect ontologybas function annot devic cardiac domain annot allow better descript indepth analysi stidefix method use automat detect therapi chang may reus analyz data devic registri

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