Assessment of medical management in Coronary Type 2 Diabetic patients with previous percutaneous coronary intervention in Spain: A retrospective analysis of electronic health records using Natural Language Processing.
Carlos González-JuanateyManuel Anguita-Sá NchezVivencio BarriosIván Núñez-GilJuan Josá Gómez-DoblasXavier García-MollCarlos Lafuente-GormazMaría Jesús Rollán-GómezVicente Peral-DisdieLuis Martínez-DolzMiguel Rodríguez-SantamartaXavier Viñolas-PratToni Soriano-ColoméRoberto Muñoz-AguileraIgnacio PlazaAlejandro Curcio-RuigómezErnesto Orts-SolerJavier SegoviaClaudia Maténull nullÁngel CequierPublished in: PloS one (2022)
Our results showed high rates of MACE in a large real-world series of PCI-revascularized patients with T2D and CAD with no history of MI or stroke. These data represent a potential opportunity to improve the clinical management of these patients.
Keyphrases
- electronic health record
- coronary artery disease
- percutaneous coronary intervention
- end stage renal disease
- atrial fibrillation
- acute myocardial infarction
- st segment elevation myocardial infarction
- acute coronary syndrome
- ejection fraction
- st elevation myocardial infarction
- newly diagnosed
- antiplatelet therapy
- chronic kidney disease
- coronary artery bypass grafting
- type diabetes
- healthcare
- clinical decision support
- coronary artery
- autism spectrum disorder
- peritoneal dialysis
- prognostic factors
- big data
- climate change
- aortic stenosis
- blood brain barrier
- artificial intelligence
- deep learning
- data analysis
- cerebral ischemia