ESC 365 - Updating cardiovascular disease risk prediction equations to account for lipid lowering treatment drop-in during follow up: a national data-linkage cohort

ESC Professional Premium Access

Updating cardiovascular disease risk prediction equations to account for lipid lowering treatment drop-in during follow up: a national data-linkage cohort

Session: Cardiovascular risk assessment: scores (3)

Topic: Scores

Speaker: Miss J. Liang (Auckland, NZ)

Event: ESC Congress 2023

Congress Presentation

Add to my library

About the speaker

Miss Jingyuan Liang

Auckland (New Zealand)

1 presentation

0 follower

5 more presentations in this session

Predicting the death caused by cardiovascular and/or cerebrovascular disease within 7 years follow-up using machine learning models

Speaker: Miss K. Tsarapatsani (Ioannina, GR)

Evaluation of a proactive cardiovascular risk screening program after preeclampsia: the Queen of Hearts study

Speaker: Mrs E. Janssen (Maastricht, NL)

Ideal cardiovascular health metrics and cardiovascular mortality in patients with renal insufficiency

Speaker: Professor R. Huang (Beijing, CN)

Machine learning-based prediction of 30-day major adverse cardiac and cerebrovascular events in non-cardiac surgery patients

Speaker: Doctor H. Ahn (Seongnam, KR)

Genetic risk score and epicardial adipose tissue: the new tools with impact on cardiovascular risk assessment

Speaker: Doctor M. Temtem (Funchal, PT)

Access the full session

Cardiovascular risk assessment: scores (3)

Speakers: Miss J. Liang, Miss K. Tsarapatsani, Mrs E. Janssen, Professor R. Huang, Doctor H. Ahn...

About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources