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

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

Session: Cardiovascular risk assessment: scores (3)

Topic: Scores

Speaker: Professor R. Huang (Beijing, CN)

Event: ESC Congress 2023

Congress Presentation

About the speaker

Professor Rongchong Huang

Beijing Friendship Hospital, Capital Medical University, Beijing (China)

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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)

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

Speaker: Miss J. Liang (Auckland, NZ)

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)

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Cardiovascular risk assessment: scores (3)

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

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About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

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

About the speaker

Professor Rongchong Huang

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

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

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

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

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

Access the full session

Cardiovascular risk assessment: scores (3)

About the event

ESC Congress 2023

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