Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis.
Laura PaseaSheng-Chia ChungMar Pujades-RodriguezAnoop D ShahSamantha Alvarez-MadrazoVictoria AllanJames T TeoDaniel BeanReecha SofatRichard DobsonAmitava BanerjeeRiyaz S PatelAdam TimmisSpiros DenaxasHarry HemingwayPublished in: BMC medicine (2019)
Electronic health record bleeding phenotyping algorithms offer a scalable approach to monitoring bleeding in the population. Incidence of bleeding has doubled in incidence since 1998, affects one in four cardiovascular disease patients, and is associated with poor prognosis. Efforts are required to tackle this iatrogenic epidemic.
Keyphrases
- electronic health record
- poor prognosis
- end stage renal disease
- cardiovascular disease
- atrial fibrillation
- ejection fraction
- chronic kidney disease
- machine learning
- newly diagnosed
- risk factors
- prognostic factors
- clinical decision support
- high throughput
- peritoneal dialysis
- heart failure
- type diabetes
- left ventricular
- coronary artery disease
- cardiovascular events
- cardiovascular risk factors